diff --git a/.gitignore b/.gitignore old mode 100644 new mode 100755 index e85d0f8..62318e0 --- a/.gitignore +++ b/.gitignore @@ -1,13 +1,40 @@ -# Snakemake internals -.snakemake* -__pycache__ - -# Directory structure -networks/* -resources/* -results/* - -benchmarks/* -logs/* - -data/* +# Snakemake internals +.snakemake* +__pycache__ + +~$* +**/.vscode/ + +archive/* +benchmarks/* +cutouts/* +docs/build/* +data/archive/* +data/bundle/* +data/weather/* +envs/archive/* +logs/* +networks/* +notebooks/archive/* +notebooks/private/* +pre_processing/archive/* +pre_processing/resource_processing/archive/* +pre_processing/resource_processing/private/* +pre_processing/resource_processing/availability/* +pre_processing/resource_processing/timeseries_data/* +resources/* +results/* +scenarios/archive/* +scenarios/private/* +scripts/archive/* +scripts/private/* + + + + + + + + + + diff --git a/.readthedocs.yaml b/.readthedocs.yaml new file mode 100644 index 0000000..e7bf8d6 --- /dev/null +++ b/.readthedocs.yaml @@ -0,0 +1,16 @@ +version: 2 + +build: + os: "ubuntu-20.04" + tools: + python: "3.8" +sphinx: + fail_on_warning: false + configuration: docs/conf.py +formats: + - pdf + - epub +python: + # Install our python package before building the docs + install: + - requirements: docs/requirements.txt \ No newline at end of file diff --git a/.vscode/launch.json b/.vscode/launch.json new file mode 100755 index 0000000..dbf4e46 --- /dev/null +++ b/.vscode/launch.json @@ -0,0 +1,17 @@ +{ + // Use IntelliSense to learn about possible attributes. + // Hover to view descriptions of existing attributes. + // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 + "version": "0.2.0", + "configurations": [ + { + "name": "Python: Current File", + "type": "python", + "request": "launch", + "program": "${file}", + "console": "integratedTerminal", + "justMyCode": true, + "cwd": "${fileDirname}" + } + ] +} \ No newline at end of file diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100755 index 0000000..627c93d --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,8 @@ +{ + "editor.fontSize": 18, + "markdown.preview.fontSize": 18, + "terminal.integrated.fontSize": 18, + "scm.inputFontSize": 18, + "cSpell.language": "en-GB", + "taipyStudio.gUI.elementsFilePaths": [] +} \ No newline at end of file diff --git a/README.md b/README.md old mode 100644 new mode 100755 index 34dcb07..c1ac298 --- a/README.md +++ b/README.md @@ -1,76 +1,78 @@ -# PyPSA-ZA - -[PyPSA](https://pypsa.org/) model of the South African electricity system at the level of ESKOM's supply regions. - -![Visualisation of optimal capacities and costs in the least cost scenario](imgs/network_csir-moderate_redz_E_LC_p_nom_ext.png) - -The model is described and evaluated in the paper [PyPSA-ZA: Investment and operation co-optimization of integrating wind and solar in South Africa at high spatial and temporal detail](https://arxiv.org/abs/1710.11199), 2017, [arXiv:1710.11199](https://arxiv.org/abs/1710.11199). - -This repository contains the scripts to automatically reproduce the analysis. - -## Instructions - -To build and solve the model, a computer with about 20GB of memory with a strong -interior-point solver supported by the modelling library -[PYOMO](https://github.com/Pyomo/pyomo) like Gurobi or CPLEX are required. - -We recommend as preparatory steps (the path before the `%` sign denotes the -directory in which the commands following the `%` should be entered): - -1. cloning the repository using `git` (**to a directory without any spaces in the path**) - ```shell - /some/other/path % cd /some/path/without/spaces - /some/path/without/spaces % git clone https://github.com/FRESNA/pypsa-za.git - ``` - -2. installing the necessary python dependencies using conda (from within the `pypsa-za` directory) - ```shell - .../pypsa-za % conda env create -f environment.yaml - .../pypsa-za % source activate pypsa-za # or conda activate pypsa-za on windows - ``` - -3. getting the separate [data bundle](https://vfs.fias.science/d/f204668ef2/files/?p=/pypsa-za-bundle.7z&dl=1) (see also [Data dependencies] below) and unpacking it in `data` - ```shell - .../data % wget "https://vfs.fias.science/d/f204668ef2/files/?dl=1&p=/pypsa-za-bundle.7z" - .../data % 7z x pypsa-za-bundle.7z - ``` - -All results and scenario comparisons are reproduced using the workflow -management system `snakemake` -```shell -.../pypsa-za % snakemake -[... will take about a week on a recent computer with all scenarios ...] -``` - -`snakemake` will first compute several intermediate data files in the directory -`resources`, then prepare unsolved networks in `networks`, solve them and save -the resulting networks in `results/version-0.x/networks` and finally render the -main plots into `results/version-0.5/plots`. - -Instead of computing all scenarios (defined by the product of all wildcards in -the `scenario` config section), `snakemake` also allows to compute only a -specific scenario like `csir-aggressive_redz_E_LC`: -```shell -.../pypsa-za % snakemake results/version-0.5/plots/network_csir-aggressive_redz_E_LC_p_nom -``` - -## Data dependencies - -For ease of installation and reproduction we provide a bundle -[`pypsa-za-bundle.7z`](https://vfs.fias.science/d/f204668ef2/files/?p=/pypsa-za-bundle.7z&dl=1) -with the necessary data files: - -| File | Citation | -|----------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| South_Africa_100m_Population | WorldPop, South Africa 100m Population (2013). [doi:10.5258/soton/wp00246](https://doi.org/10.5258/soton/wp00246) | -| Supply area normalised power feed-in for PV.xlsx | D. S. Bofinger, B. Zimmermann, A.-K. Gerlach, D. T. Bischof-Niemz, C. Mushwana, [Wind and Solar PV Resource Aggregation Study for South Africa](https://www.csir.co.za/csir-energy-centre-documents). (2016). | -| Supply area normalised power feed-in for Wind.xlsx | same as above | -| EIA_hydro_generation_2011_2014.csv | U.S. EIA, [Hydroelectricity Net Generation ZA and MZ 2011-2014](http://tinyurl.com/EIA-hydro-gen-ZA-MZ-2011-2014) (2017). | -| Existing Power Stations SA.xlsx | Compiled by CSIR from [Eskom Holdings](https://www.eskom.co.za/) (Jan 2017) and RSA DOE, [IRP2016](http://www.energy.gov.za/IRP/2016/Draft-IRP-2016-Assumptions-Base-Case-and-Observations-Revision1.pdf) | -| Power_corridors | RSA DEA, [REDZs Strategic Transmission Corridors](https://egis.environment.gov.za/) (Apr 2017) | -| REDZ_DEA_Unpublished_Draft_2015 | RSA DEA, [Wind and Solar PV Energy Strategic Environmental Assessment REDZ Database](https://egis.environment.gov.za/) (Mar 2017) | -| SACAD_OR_2017_Q2 | RSA DEA, [South Africa Conservation Areas Database (SACAD)](https://egis.environment.gov.za/) (Jun 2017) | -| SAPAD_OR_2017_Q2 | RSA DEA, [South Africa Protected Areas Database (SAPAD)](https://egis.environment.gov.za/) (Jun 2017) | -| SystemEnergy2009_13.csv | Eskom, System Energy 2009-13 Hourly, available from Eskom on request | -| SALandCover_OriginalUTM35North_2013_GTI_72Classes | GEOTERRAIMAGE (South Africa), [2013-14 South African National Land-Cover Dataset](https://egis.environment.gov.za/data_egis/node/109) (2017) | - + + +# Development Status: **Under development** + +[![Documentation Status](https://readthedocs.org/projects/pypsa-earth/badge/?version=latest)](https://pypsa-rsa.readthedocs.io/en/latest/?badge=latest) +[![License: AGPL v3](https://img.shields.io/badge/License-AGPLv3-blue.svg)](https://www.gnu.org/licenses/agpl-3.0) +[![Discord](https://img.shields.io/discord/911692131440148490?logo=discord)](https://discord.gg/bsdHkHwujt) +[![Google Drive](https://img.shields.io/badge/Google%20Drive-4285F4?style=flat&logo=googledrive&logoColor=white)](https://drive.google.com/drive/folders/17f54zTMEfeFZhNByXxLkf9qcZRdhng03) + +# PyPSA-RSA: An open Optimisation Model of the South African Power System +The accelerating development of open-source energy system modelling tools in recent years has now reached the point where it opens up a credible alternative approach to closed source exclusivity. An ever increasing number of studies are demonstrating that it is possible to produce analysis of a high quality using open-source energy system models, whilst building a wider participating modelling community. This builds confidence in results by enabling more effective peer review of work and therefore more effective feedback loops. It also builds a consistent stream of new talent entering the space to ensure that energy sector analytical capacity can be retained and steadily expanded. + +This model makes use of freely available and open data which encourages the open exchange of model data developments and eases the comparison of model results. It provides a full, automated software pipeline to assemble the optimisation model from the original datasets, which enables easy replacement and improvement of the individual parts. Running the model requires a wide range on input datasets. Users are required to access the following datasets from the original sources: + +- [GIS shape files for supply regions](https://www.ntcsa.co.za/wp-content/uploads/2024/06/GCCA-2025-GIS.zip) +- [GIS data for existing Eskom transmission lines](https://www.ntcsa.co.za/wp-content/uploads/2024/06/Shapefiles-1.zip) +- [GIS data for population and GVA](http://stepsatest.csir.co.za/socio_econ.html) + +Custom data generated for this model will need to be downloaded from [Google Drive](https://drive.google.com/drive/folders/17f54zTMEfeFZhNByXxLkf9qcZRdhng03) + +# Spatial resolution +PyPSA-RSA has been designed to conduct capacity expansion planning and resource adequacy studies at differing spatial and temporal resolutions. Five different spatial resolutions are available in the model, and custom GIS shpae files can also be utilsied: + +- ``1-supply``: A single node for the entire South Africa. +- ``10-supply``: 10 nodes based on the [GCCA 2025 Eskom Transmission Supply Regions](https://www.eskom.co.za/eskom-divisions/tx/gcca/). +- ``27-supply``: 27 nodes based on the Eskom 27 supply regions as per the original PyPSA-ZA model. +- ``34-supply``: 34 nodes based on the CLNs level in the [GCCA 2025 Eskom Local Supply Regions](https://www.eskom.co.za/eskom-divisions/tx/gcca/). +- ``159-supply``: 159 nodes based on the [GCCA 2025 Eskom Transmission MTS Regions](https://www.eskom.co.za/eskom-divisions/tx/gcca/). + +![Spatial resolutions](docs/img/pypsa-rsa_spatial2.png) + +PyPSA-RSA can be solved for a single year, or for multiple years, with perfect foresight. Multi-horizon capacity expansion planning is compuationally intensive, and therefore the spatial resolution will typically need to be reduced to ``1-supply`` or ``10-supply`` depending on the number of years modelled. By defualt PyPSA-RSA uses full chronology (8760h per year), but the number of snapshots can be reduced through the use of time-series +segmentation through the open-source [Time Series Aggregation Module (TSAM)]( https://github.com/FZJ-IEK3-VSA/tsam/). + +# Resources to get started +PyPSA-RSA is built upon the fundamental components in the [PyPSA library](https://pypsa.org/). Before starting to use this model it is highly recommended to explore the [PyPSA documentation](https://pypsa.readthedocs.io/en/latest/index.html). More detailed documentation can be found under our [readthedocs](https://pypsa-za.readthedocs.io/en/latest/). A two-part video series on using PyPSA and PyPSA-RSA can be found under [link](https://meridianeconomics.co.za/our-publications/pypsa-rsa-workshop1/). Please feel free to join our [Discord channel](https://discord.gg/bsdHkHwujt) to ask questions. + +PyPSA-RSA assembles the mathematical equations that need to be solved to generate a result. Whilst open-source solvers such as [HiGHS](https://highs.dev/) and [CBC](https://github.com/coin-or/Cbc) can be used to solve smaller problems, a commercial solver is likely to be required for multi-horizon capacity expansion models. Suitable options include: +- [Gurobi](https://www.gurobi.com/) +- [IBM CPLEX](https://www.ibm.com/products/ilog-cplex-optimization-studio/cplex-optimizer) +- [FICO Xpress](https://www.fico.com/en/products/fico-xpress-optimization) +- [COPT](https://www.shanshu.ai/copt) +- [MindOpt](https://opt.alibabacloud.com/) + +RAM requirements will vary based on the complexity of the model. Multi-horizon capacity expansion planning models with full time chronology will likely require between 65-128GB of RAM. + +# Installation +1. Open your terminal at a location where you want to install pypsa-rsa. Type the following in your terminal to download the package from GitHub: + ```bash + .../some/path/without/spaces % git clone https://github.com/MeridianEconomics/pypsa-rsa.git + ``` +2. The python package requirements are curated in the `envs/environment.yaml` file. + The environment can be installed using: + + ```bash + .../pypsa-rsa % conda env create -f envs/environment.yaml + ``` + + If the above takes longer than 30min, you might want to try mamba for faster installation: + + ```bash + (base) conda install -c conda-forge mamba + + .../pypsa-rsa % mamba env create -f envs/environment.yaml + ``` + +3. For running the optimization one has to install the solver. We can recommend the open source HiGHs solver which installation manual is given [here](https://github.com/PyPSA/PyPSA/blob/633669d3f940ea256fb0a2313c7a499cbe0122a5/pypsa/linopt.py#L608-L632). + +# Documentation +The documentation is available here: [documentation](https://pypsa-rsa.readthedocs.io/en/latest/?badge=latest). + +# Developers +New collaborators are welcome! This project is currently maintained by [Meridian Economics]( https://meridianeconomics.co.za/). Previous versions were developed within the Energy Centre at the [Council for Scientific and Industrial Research (CSIR)](https://www.csir.co.za/) as part of the [CoNDyNet project](https://fias.institute/en/projects/condynet/), which is supported by the [German Federal Ministry of Education and Research](https://www.bmbf.de/bmbf/en/home/home_node.html) under grant no. 03SF0472C. Credits to Jonas Hörsch and Joanne Calitz who developed the original [PyPSA-ZA model](https://arxiv.org/pdf/1710.11199.pdf), [Meridian Economics](http://meridianeconomics.co.za) who extended the PyPSA-ZA model.PyPSA-RSA is relies on a number of functions from the [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur) and [PyPSA-Meets-Earth](https://github.com/pypsa-meets-earth/pypsa-earth). + diff --git a/Snakefile b/Snakefile index 7074dd9..5e14dd4 100644 --- a/Snakefile +++ b/Snakefile @@ -1,183 +1,79 @@ -configfile: "config.yaml" - -localrules: all, base_network, add_electricity, add_sectors, plot_network, scenario_comparison # , extract_summaries - -wildcard_constraints: - resarea="[a-zA-Z0-9]+", - cost="[-a-zA-Z0-9]+", - sectors="[+a-zA-Z0-9]+", - opts="[-+a-zA-Z0-9]+" - -rule all: - input: - expand("results/version-" + str(config['version']) + "/plots/scenario_{param}.html", - param=list(config['scenario'])) - -rule build_landuse_remove_protected_and_conservation_areas: - input: - landuse = "data/bundle/SALandCover_OriginalUTM35North_2013_GTI_72Classes/sa_lcov_2013-14_gti_utm35n_vs22b.tif", - protected_areas = "data/bundle/SAPAD_OR_2017_Q2", - conservation_areas = "data/bundle/SACAD_OR_2017_Q2" - output: "resources/landuse_without_protected_conservation.tiff" - benchmark: "benchmarks/landuse_remove_protected_and_conservation_areas" - threads: 1 - resources: mem_mb=10000 - script: "scripts/build_landuse_remove_protected_and_conservation_areas.py" - -rule build_landuse_map_to_tech_and_supply_region: - input: - landuse = "resources/landuse_without_protected_conservation.tiff", - supply_regions = "data/supply_regions/supply_regions.shp", - resarea = lambda w: "data/bundle/" + config['data']['resarea'][w.resarea] - output: - raster = "resources/raster_{tech}_percent_{resarea}.tiff", - area = "resources/area_{tech}_{resarea}.csv" - benchmark: "benchmarks/build_landuse_map_to_tech_and_supply_region/{tech}_{resarea}" - threads: 1 - resources: mem_mb=10000 - script: "scripts/build_landuse_map_to_tech_and_supply_region.py" - -rule build_population: - input: - supply_regions='data/supply_regions/supply_regions.shp', - population='data/bundle/South_Africa_100m_Population/ZAF15adjv4.tif' - output: 'resources/population.csv' - threads: 1 - resources: mem_mb=1000 - script: "scripts/build_population.py" - -if not config['hydro_inflow']['disable']: - rule build_inflow_per_country: - input: EIA_hydro_gen="data/EIA_hydro_generation_2011_2014.csv" - output: "resources/hydro_inflow.csv" - benchmark: "benchmarks/inflow_per_country" - threads: 1 - resources: mem_mb=1000 - script: "scripts/build_inflow_per_country.py" - -rule build_topology: - input: - supply_regions='data/supply_regions/supply_regions.shp', - centroids='data/supply_regions/centroids.shp', - num_lines='data/num_lines.csv' - output: - buses='resources/buses.csv', - lines='resources/lines.csv' - threads: 1 - script: "scripts/build_topology.py" - -rule base_network: - input: - buses='resources/buses.csv', - lines='resources/lines.csv', - population='resources/population.csv' - output: "networks/base_{opts}.nc" - benchmark: "benchmarks/base_network_{opts}" - threads: 1 - resources: mem_mb=1000 - script: "scripts/base_network.py" - -rule add_electricity: - input: - base_network='networks/base_{opts}.nc', - supply_regions='data/supply_regions/supply_regions.shp', - load='data/bundle/SystemEnergy2009_13.csv', - wind_profiles='data/bundle/Supply area normalised power feed-in for Wind.xlsx', - pv_profiles='data/bundle/Supply area normalised power feed-in for PV.xlsx', - wind_area='resources/area_wind_{resarea}.csv', - solar_area='resources/area_solar_{resarea}.csv', - existing_generators="data/Existing Power Stations SA.xlsx", - hydro_inflow="resources/hydro_inflow.csv", - tech_costs="data/technology_costs.xlsx" - output: "networks/elec_{cost}_{resarea}_{opts}.nc" - benchmark: "benchmarks/add_electricity/elec_{cost}_{resarea}_{opts}" - threads: 1 - resources: mem_mb=1000 - script: "scripts/add_electricity.py" - -rule add_sectors: - input: - network="networks/elec_{cost}_{resarea}_{opts}.nc" - # emobility="data/emobility" - output: "networks/sector_{cost}_{resarea}_{sectors}_{opts}.nc" - threads: 1 - resources: mem_mb=1000 - script: "scripts/add_sectors.py" - -rule solve_network: - input: network="networks/sector_{cost}_{resarea}_{sectors}_{opts}.nc" - output: "results/version-" + str(config['version']) + "/networks/{cost}_{resarea}_{sectors}_{opts}.nc" - shadow: "shallow" - log: - gurobi="logs/{cost}_{resarea}_{sectors}_{opts}_gurobi.log", - python="logs/{cost}_{resarea}_{sectors}_{opts}_python.log" - benchmark: "benchmarks/solve_network/{cost}_{resarea}_{sectors}_{opts}" - threads: 4 - resources: mem_mb=19000 # for electricity only - script: "scripts/solve_network.py" - -rule plot_network: - input: - network='results/version-' + str(config['version']) + '/networks/{cost}_{resarea}_{sectors}_{opts}.nc', - supply_regions='data/supply_regions/supply_regions.shp', - resarea=lambda w: 'data/bundle/' + config['data']['resarea'][w.resarea] - output: - only_map=touch('results/version-' + str(config['version']) + '/plots/network_{cost}_{resarea}_{sectors}_{opts}_{attr}'), - ext=touch('results/version-' + str(config['version']) + '/plots/network_{cost}_{resarea}_{sectors}_{opts}_{attr}_ext') - params: ext=['png', 'pdf'] - script: "scripts/plot_network.py" - -rule scenario_comparison: - input: - expand('results/version-{version}/plots/network_{cost}_{resarea}_{sectors}_{opts}_{attr}_ext', - version=config['version'], - attr=['p_nom'], - **config['scenario']) - output: - html='results/version-' + str(config['version']) + '/plots/scenario_{param}.html' - params: - tmpl="network_[cost]_[resarea]_[sectors]_[opts]_[attr]_ext", - plot_dir='results/version-' + str(config['version']) + '/plots' - script: "scripts/scenario_comparison.py" - -def input_make_summary(w): - # It's mildly hacky to include the separate costs input as first entry - return (expand("results/version-" + str(config['version']) + "/networks/{cost}_{resarea}_{sectors}_{opts}.nc", - **{k: config["scenario"][k] if getattr(w, k) == "all" else getattr(w, k) - for k in ["cost", "resarea", "sectors", "opts"]})) - -rule make_summary: - input: input_make_summary - output: directory("results/version-" + str(config['version']) + "/summaries/{cost}_{resarea}_{sectors}_{opts}") - script: "scripts/make_summary.py" - -# extract_summaries and plot_costs needs to be updated before it can be used again -# -# rule extract_summaries: -# input: -# expand("results/version-{version}/networks/{cost}_{resarea}_{sectors}_{opts}.nc", -# version=config['version'], -# **config['scenario']) -# output: -# **{n: "results/version-{version}/summaries/{}-summary.csv".format(n, version=config['version']) -# for n in ['costs', 'costs2', 'e_curtailed', 'e_nom_opt', 'e', 'p_nom_opt']} -# params: -# scenario_tmpl="[cost]_[resarea]_[sectors]_[opts]", -# scenarios=config['scenario'] -# script: "scripts/extract_summaries.py" - -# rule plot_costs: -# input: 'results/summaries/costs2-summary.csv' -# output: -# expand('results/plots/costs_{cost}_{resarea}_{sectors}_{opt}', -# **dict(chain(config['scenario'].items(), (('{param}'))) -# touch('results/plots/scenario_plots') -# params: -# tmpl="results/plots/costs_[cost]_[resarea]_[sectors]_[opt]" -# exts=["pdf", "png"] -# scripts: "scripts/plot_costs.py" - - -# Local Variables: -# mode: python -# End: +configfile: "config.yaml" + +from os.path import normpath, exists, isdir + +wildcard_constraints: + model_type="[a-zA-Z0-9_]+", + scenarios_to_run="[-a-zA-Z0-9_]+", +import pandas as pd +import os +scenarios = pd.read_excel( + os.path.join("scenarios",config["scenarios"]["folder"],config["scenarios"]["setup"]), + sheet_name="scenario_definition", + index_col=0 +) +scenarios_to_run = scenarios[scenarios["run_scenario"] == 1] + +rule all: + input: + "results/solve_all_scenarios_complete" + +rule solve_all_scenarios: + input: + expand( + "results/" + config["scenarios"]["folder"] + "/network/capacity-{scenario}.nc", + scenario=scenarios_to_run.index, + ) + output: + touch("results/solve_all_scenarios_complete") + +rule build_topology: + input: + supply_regions=config["gis"]["path"] + "/supply_regions/rsa_supply_regions.gpkg", + existing_lines=config["gis"]["path"] + "/transmission_grid/eskom_gcca_2022/Existing_Lines.shp", + planned_lines=config["gis"]["path"] + "/transmission_grid/tdp_digitised/TDP_2023_32.shp", + gdp_pop_data=config["gis"]["path"] + "/CSIR/Mesozones/Mesozones.shp", + output: + buses="resources/"+config["scenarios"]["folder"]+"/buses-{scenario}.geojson", + lines="resources/"+config["scenarios"]["folder"]+"/lines-{scenario}.geojson", + threads: 1 + script: "scripts/build_topology.py" + +rule base_network: + input: + buses="resources/" + config["scenarios"]["folder"] + "/buses-{scenario}.geojson", + lines="resources/" + config["scenarios"]["folder"] + "/lines-{scenario}.geojson", + output: "networks/" + config["scenarios"]["folder"] + "/base/{model_type}-{scenario}.nc", + threads: 1 + resources: mem_mb=1000 + script: "scripts/base_network.py" + +rule add_electricity: + input: + base_network="networks/" + config["scenarios"]["folder"] + "/base/{model_type}-{scenario}.nc", + supply_regions="resources/" + config["scenarios"]["folder"] + "/buses-{scenario}.geojson", + load="data/bundle/SystemEnergy2009_22.csv", + eskom_profiles="data/eskom_pu_profiles.csv", + renewable_profiles="data/bundle/renewable_profiles_updated.nc", + output: "networks/"+ config["scenarios"]["folder"] + "/elec/{model_type}-{scenario}.nc", + script: "scripts/add_electricity.py" + +rule prepare_and_solve_network: + input: + network="networks/"+ config["scenarios"]["folder"] + "/elec/capacity-{scenario}.nc", + output: + network="results/" + config["scenarios"]["folder"] + "/network/capacity-{scenario}.nc", + network_stats="results/" + config["scenarios"]["folder"] +"/network_stats/{scenario}.csv", + emissions="results/" + config["scenarios"]["folder"] +"/emissions/{scenario}.csv", + resources: + solver_slots=1 + script: + "scripts/prepare_and_solve_network.py" + +rule solve_network_dispatch: + input: + dispatch_network="networks/elec/{scenario}/dispatch-{year}.nc", + optimised_network_stats="networks/network_stats/{scenario}.csv", + output: "networks/dispatch/{scenario}/dispatch_{year}.nc", + script: + "scripts/solve_network_dispatch.py" \ No newline at end of file diff --git a/cluster.yaml b/cluster.yaml deleted file mode 100644 index 023e266..0000000 --- a/cluster.yaml +++ /dev/null @@ -1,5 +0,0 @@ -__default__: - partition: x-men - name: "pypsa-za.{rule}.{wildcards}" - output: "logs/cluster/{rule}.{wildcards}.out" - error: "logs/cluster/{rule}.{wildcards}.err" diff --git a/config.yaml b/config.yaml index a1f2502..9955bdb 100644 --- a/config.yaml +++ b/config.yaml @@ -1,86 +1,164 @@ -version: 0.5 - -scenario: - resarea: [redz, corridors] - sectors: [E] # ,E+EV,E+BEV,E+BEV+V2G] # [ E+EV, E+BEV, E+BEV+V2G ] - cost: [csir-aggressive] # [csir-today, csir-moderate, csir-aggressive] #, IRP2016-Apr2016] - opts: [LC, Co2L] # , EP, BAU, LC-SAFE, Co2L-SAFE] #, LC-FL, LC-T, Ep-T, Co2L-T] - -data: - resarea: - redz: REDZ_DEA_Unpublished_Draft_2015 - corridors: Power_corridors - -year: "2040" -historical_year: "2012" +version: 0.1 + +logging: + level: INFO + format: "%(levelname)s:%(name)s:%(message)s" + +scenarios: + folder: ME IRP 2024 + setup: "scenarios_to_run.xlsx" + +# # General inputs +# data: +# resarea: +# redz: REDZ_DEA_Unpublished_Draft_2015 +# corridors: Power_corridors + +gis: + path: "data/bundle" + # definition of the Coordinate Reference Systems + crs: + geo_crs: EPSG:4326 # general geographic projection, not used for metric measures. "EPSG:4326" is the standard used by OSM and google maps + distance_crs: EPSG:2049 # projection for distance measurements only. Possible recommended values are "EPSG:3857" (used by OSM and Google Maps) + area_crs: ESRI:54009 # projection for area measurements only. Possible recommended values are Global Mollweide "ESRI:54009" + +# Specification of relevent years for the model +years: + reference_load_year: 2017 # should be a single year at present, could be extended in the future + reference_weather_years: + # reference years used for solar PV and wind profiles - can be single or multiple years + # if multiple years are specified these are applied sequencially to the simulation years + solar_pv: [2017, 2018, 2019] + solar_pv_low: [2017, 2018, 2019] + solar_pv_rooftop: [2017, 2018, 2019] + wind: [2017, 2018, 2019] + wind_low: [2017, 2018, 2019] + wind_offshore: [2017, 2018, 2019] + + # reference years from actual Eskom data published at https://www.eskom.co.za/dataportal/ + # can be single or multiple years if multiple years are specified these are applied + # sequencially to the simulation years + solar_csp: [2021] + bioenergy: [2021] + hydro: [2021] + hydro_import: [2021] electricity: - demand: 428.e+6 # 344TWh 2030, 428TWh 2040, 522TWh 2050 - # IRP_Update_Assumptions_1904.pdf - co2limit: 10.e+6 # 470.9e+5 # 0.1 * 470.9e+6 (2014 Electricity Sector) - - csp: false - - extendable_carriers: - Generator: [OCGT, CCGT, Coal, Nuclear] - StorageUnit: [Battery] # [CAES] - - buses: - OCGT: [WEST COAST, EMPANGENI, PORT ELIZABETH] # Saldana Bay, Richards Bay, Coega - CCGT: [WEST COAST, EMPANGENI, PORT ELIZABETH] - Coal: [WATERBERG] - Nuclear: [PORT ELIZABETH, PENINSULA] # Thyspunt, Koeberg - - BAU_mincapacities: - Nuclear: 10000 - Coal: 10000 - - SAFE_reservemargin: 0.1 - - max_hours: - Battery: 3 - CAES: 10 - -respotentials: - # Gives us ball-park the available areas the IWES study reports - landusetype_percent: - wind: - - [[7, 8, 9, 41], 80] - # - [[5, 6], 50] - # - [[11, 12, 14, 15], 10] - solar: - - [[7, 8, 9, 41], 80] - # - [[11, 12, 14, 15], 50] - # - [[46, 47, 51, 56, 64, 68, 72], 10] - - capacity_per_sqm: - wind: 5 # half of 10 (IWES) - solar: 16.5 # half of 33 (IWES) - -hydro_inflow: - disable: true - countries: [ZA, MZ] - cutout: za-mz-2012 - + load_disaggregation: "GVA_2016" # used to split the demand across supply regions in absence of Eskom data + renewable_generators: + apply_grouping: false # if false individual existing plants are specified as separate generators + resource_profiles: + datasets: + wind: "wasa" + wind_offshore: "era5" + solar_pv: "sarah" + solar_pv_rooftop: "sarah" + bioenergy: "eskom" + hydro: "eskom" + hydro_import: "eskom" + single_node_profiles: + wind: [10, ["Eastern Cape", "Northern Cape", "Western Cape"], [1,1,1]] + wind_low: [10, ["Mpumalanga", "Free State", "North West", "KwaZulu Natal"], [0.5, 0.1, 0.2, 0.2]] + wind_offshore: [1, ["RSA"],[1]] + solar_pv: [10, ["Northern Cape", "Hydra Central"], [1,1]] + solar_pv_rooftop: [1, ["RSA"],[1]] + solar_pv_low: [10, ["Mpumalanga", "Free State", "Limpopo", "North West"], [1, 1, 1, 1]] + + + degradation_adj_capacity_factor: # adjust avg plant capacity factor down to account for degradation over lifetime in present value terms at 8.2% discount rate + wind: 0.01 + wind_low: 0.01 + wind_offshore: 0.01 + solar_pv: 0.03 + solar_pv_low: 0.03 + solar_pv_rooftop: 0.03 + + conventional_generators: # generator planned and unplanned outages are included based on Eskom data + apply_grouping: false # if false indivudal plants are specified as generators + implement_availability: true + ccgt_st_to_gt_ratio: 0.427 # ratio of gas turbines output to steam turbines in CCGT plants 2x540MW OCGT for 1x461MW steam turbine + allowable_ocgt_st_carriers: ["ocgt_gas", "ocgt_diesel", "ocgt_gas_h2_40", "ocgt_gas_h2_45", "ocgt_gas_h2_50"] # only these techs can be connected to ST + + storage: + apply_grouping: false # if false indivudal plants are specified + + extendable_parameters: + defaults: + discount_rate: 0.082 + co2_emissions: 0 + max_hours: 0 + FOM: 0 + VOM: 0 + heat_rate: 0 + efficiency: 1 + fuel: 0 + investment: 0 + lifetime: 20 + min_stable_level: 0 + ramp_limit_up: .nan + ramp_limit_down: .nan + ramp_limit_start_up: 1 + ramp_limit_shut_down: 1 + min_up_time: 0 + min_down_time: 0 + start_up_cost: 0 + shut_down_cost: 0 + build_phase_in: overnight + + adjust_by_p_max_pu: #adjusts ramp limit and p_min_pu by outages representated by p_max_pu + coal: [ramp_limit_up, ramp_limit_down] + nuclear: [ramp_limit_up, ramp_limit_down] # leave empty to ignore #can add p_min_pu here as well + + clean_pu_profiles: true # if true, if p_max_pu is less than p_min_pu in any hour it is set to p_min_pu + + operating_reserves: + spinning: ["coal", "nuclear", "phs", "biomass", "hydro", "hydro_import"] + non_spinning: ["coal", "ocgt_diesel", "ocgt_gas", "ccgt_gas", "phs", "biomass", "hydro", "hydro_import"] + + dispatch_committable_carriers: + existing: [coal] + extended: [coal, ccgt_steam] + lines: - v_nom: 380. - type: 'Al/St 240/40 4-bundle 380.0' - - # costs - s_nom_factor: 0.7 + threshold: 220 # only voltages >=220kV are considered in network capacity calculations + v_nom: 400. #changed from 380kV from PyPSA-EUR to 400kV for South Africa + type: + 400: "Al/St 240/40 4-bundle 380.0" # proxy line properties from pypsa defaults + s_rating: thermal # thermal, SIL, StClair + thermal: + 220: 492 #(MW) "Al/St 240/40 2-bundle 220.0" -> np.sqrt(3)*220*1.29 + 275: 921 #(MW) "Al/St 240/40 3-bundle 300.0" -> np.sqrt(3)*275*1.935 + 400: 1788 #(MW) "Al/St 240/40 4-bundle 380.0" -> np.sqrt(3)*400*2.58 + 765: 5512 #(MW) "Al/St 560/50 4-bundle 750.0" -> np.sqrt(3)*765*4.16 + SIL: # surge impedance loading + 220: 122 #(MW) + 275: 245 #(MW) + 400: 602 #(MW) + 765: 2280 #(MW) + s_max_pu: 0.7 # n-1 approximation + n1_approx_single_lines: 0.7 + s_nom_max: .inf + length_factor: 1.25 + no_build_year: 2050 # or set as "drop" to remove lines + losses: 0.06 #per 1000km AC line - requires to links per line unless set to 0 then bi-directional lossless link + dc_type: "DC_custom_linetype" + #status: ["existing"] # "zero": set capacity to zero, "remove": remove, "keep": with full capacity + extend_topology: true # if true, lines between adjacent regions that do not exist are added for expansion + +links: + p_max_pu: 1.0 + p_nom_max: .inf + under_construction: "zero" # "zero": set capacity to zero, "remove": remove, "keep": with full capacity length_factor: 1.25 costs: # costs come from data/technology_costs.xlsx - discountrate: 0.08 + discount_rate: 0.082 + year: 2030 + USD_to_ZAR: 18.24 + EUR_to_ZAR: 17.83 - # Marginal and capital costs can be overwritten - # capital_cost: - # Wind: Bla - marginal_cost: # - PV: 0.01 - Wind: 0.015 - EUR_to_ZAR: 15.63 + load_shedding: 100000 #R100/kWh emission_prices: # only used with the option Ep (emission prices) # Externality costs from Integrated Energy Plan by the ZA DOE @@ -90,130 +168,18 @@ costs: hg: 41484.e-6 # is also part of the excel sheet particulate: 11.3e+3 -transport: - # 2014 Energy 702EJ - # Table 18 in 20170331CSIR_EC_DOE p. 48 (64) - energy_total: 25.2e+6 # 24 2030, 25.2 2040, 26.7 2050 - # efficiency_gain: 3.5 # Explanation - availability_max: 0.95 - availability_mean: 0.8 - total_cars: 8.4e+6 # 8.0 2030, 8.4 2040, 8.9 2050 - car_battery_p_nom: 0.011 # 11kW 3-phase charger - car_battery_e_nom: 0.05 # 50kWh battery - # http://www.zeit.de/mobilitaet/2014-10/auto-fahrzeug-bestand - standing_loss: 8.33e-5 # Buddischak - efficiency: 0.9 # " - - # cars_per_person: 0.6 - +tsam_clustering: + nprocesses: 10 + solver: "highs" #need to use open source solver here due to parallel processing of years + solving: tmpdir: /tmp options: clip_p_max_pu: 1.e-2 load_shedding: true - noisy_costs: true - min_iterations: 4 - max_iterations: 10 - formulation: kirchhoff - # max_iterations: 1 - # nhours: 10 solver: - name: gurobi - threads: 4 - method: 2 - crossover: 0 # -1 (Choose freely) - BarConvTol: 1.e-5 - FeasibilityTol: 1.e-6 - LogToConsole: 0 - OutputFlag: 1 - -plotting: - map: - figsize: [7, 7] - boundaries: [16, -35, 33, -22] - p_nom: - bus_size_factor: 5.e+4 - linewidth_factor: 1.e+3 # 1.e+3 #3.e+3 - - costs_max: 800 - - vre_techs: ["Wind", "PV"] - conv_techs: ["OCGT", "CCGT", "Nuclear", "Coal"] - storage_techs: ["Hydro", "CAES", "Battery", "Pumped storage", "Hydro+PS"] - store_techs: ["Li ion", "water tanks"] - load_carriers: ["AC load", "heat load", "Li ion load"] - AC_carriers: ["AC line", "AC transformer"] - link_carriers: ["DC line", "Converter AC-DC"] - heat_links: ["heat pump", "resistive heater", "CHP heat", "CHP electric", - "gas boiler", "central heat pump", "central resistive heater", "central CHP heat", - "central CHP electric", "central gas boiler"] - heat_generators: ["gas boiler", "central gas boiler", "solar thermal collector", "central solar thermal collector"] - tech_colors: - Wind: "xkcd:azure" - Hydro: "g" - ror: "g" - Hydro+PS: "g" - PV: "y" - OCGT: "brown" - OCGT marginal: "sandybrown" - OCGT-heat: "orange" - central gas boiler: "orange" - gas boiler: "orange" - gas boilers: "orange" - gas boiler marginal: "orange" - gas: "brown" - lines: "k" - AC line: "k" - AC-AC: "k" - transmission lines: "k" - H2: "m" - hydrogen storage: "m" - Battery: "slategray" - battery storage: "slategray" - CAES: "lightgray" - Nuclear: "r" - Nuclear marginal: "r" - Coal: "k" - Coal marginal: "k" - Lignite: "grey" - Lignite marginal: "grey" - CCGT: "orange" - CCGT marginal: "orange" - Diesel: "darkred" - Diesel marginal: "darkred" - heat pumps: "green" - heat pump: "green" - central heat pump: "green" - resistive heater: "pink" - central resistive heater: "pink" - Sabatier: "turquoise" - water tanks: "w" - CHP: "r" - CHP heat: "r" - CHP electric: "r" - central CHP heat: "r" - central CHP electric: "r" - Pumped storage: "g" - Ambient: "k" - AC load: "b" - Heat load: "r" - Li ion load: "grey" - heat: "r" - Li ion: "grey" - district heating: "#CC4E5C" - nice_names: - # OCGT: "Gas" - # OCGT marginal: "Gas (marginal)" - #Battery: "Battery storage" - lines: "Transmission lines" - AC line: "AC lines" - AC-AC: "DC lines" - ror: "Run of river" - nice_names_n: - offwind: "offshore\nwind" - onwind: "onshore\nwind" - # OCGT: "Gas" - H2: "Hydrogen\nstorage" - # OCGT marginal: "Gas (marginal)" - lines: "transmission\nlines" - ror: "run of river" + name: highs + LpMethod: 0 + Threads: 5 + Presolve: 1 + Crossover: 0 \ No newline at end of file diff --git a/data/EIA_hydro_generation_2011_2014.csv b/data/EIA_hydro_generation_2011_2014.csv deleted file mode 100644 index a8cbcfd..0000000 --- a/data/EIA_hydro_generation_2011_2014.csv +++ /dev/null @@ -1,19 +0,0 @@ -"International_data" -"https://www.eia.gov/beta/international/data/browser/#/?pa=000000000000000000000000000000g&c=20000040000000000000000000g004500000000000040000003g&ct=0&ug=8&tl_id=2-A&vs=INTL.33-12-ZAF-BKWH.A&cy=2014&vo=0&v=H&start=2000&end=2014" -"Fri Aug 18 2017 19:05:28 GMT+0200 (CEST)" -"Source: U.S. Energy Information Administration" -,,,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014 -"","Electricity","Billion Kwh" -"","Generation","" -"","Renewables","" -"","Hydroelectricity","" -"","Angola","Billion Kwh",0.9,1,1.1,1.2,1.7,2.197,2.638,2.472,3.103,3.063,3.666,3.967,3.734,4.719,4.991 -"","Botswana","Billion Kwh",,,,,,,,,,,,,,, -"","Lesotho","Billion Kwh",0.3,0.3,0.3,0.3,0.3,0.459,0.525,0.554,0.584,0.648,0.694,0.63,0.486,0.5,0.5 -"","Malawi","Billion Kwh",1,1,1.1,1.1,1.3,1.307,1.339,1.367,1.521,1.488,1.735,1.809,1.9,1.83,2.05 -"","Mozambique","Billion Kwh",9.6,12,13,11,12,13.131,14.57,15.902,14.963,16.781,16.481,16.642,14.994,14.401,16.013 -"","Namibia","Billion Kwh",1.4,1.4,1.4,1.5,1.6,1.641,1.59,1.56,1.476,1.395,1.235,1.39,1.591,1.259,1.47 -"","South Africa","Billion Kwh",1.3,2.1,2.4,0.8,0.9,1.319,2.869,0.859,1.191,1.386,2.093,2.036,1.193,1.147,0.965 -"","Swaziland","Billion Kwh",0.2,0.2,0.2,0.1,0.1,0.157,0.154,0.171,0.157,0.202,0.242,0.28,0.228,0.201,0.254 -"","Zambia","Billion Kwh",7.7,7.8,8,8.2,8.4,8.794,9.572,9.535,9.427,9.782,10.331,11.368,12.227,13.148,13.902 -"","Zimbabwe","Billion Kwh",3.2,3,3.8,5.3,5.5,4.866,5.257,5.329,5.651,5.403,5.741,5.149,5.336,4.946,5.377 \ No newline at end of file diff --git a/data/Existing Power Stations SA.xlsx b/data/Existing Power Stations SA.xlsx deleted file mode 100644 index 871651c..0000000 Binary files a/data/Existing Power Stations SA.xlsx and /dev/null differ diff --git a/data/ambitions_validation.xlsx b/data/ambitions_validation.xlsx new file mode 100644 index 0000000..da58bad Binary files /dev/null and b/data/ambitions_validation.xlsx differ diff --git a/data/eskom_data.csv b/data/eskom_data.csv new file mode 100644 index 0000000..38ee1a6 --- /dev/null +++ b/data/eskom_data.csv @@ -0,0 +1,50402 @@ +,0,Residual Forecast,RSA Contracted Forecast,Dispatchable Generation,Residual Demand,RSA Contracted Demand,International Exports,International Imports,Thermal Generation,Nuclear Generation,Eskom Gas Generation,Eskom OCGT Generation,Hydro Water Generation,Pumped Water Generation,ILS Usage,Manual Load_Reduction(MLR),IOS Excl ILS and MLR,Dispatchable IPP OCGT,Eskom Gas SCO,Eskom OCGT SCO,Hydro Water SCO,Pumped Water SCO Pumping,Wind,PV,CSP,Other RE,Total RE,Wind Installed Capacity,PV Installed Capacity,CSP Installed Capacity,Other RE Installed Capacity,Total RE Installed Capacity,Installed Eskom Capacity,Total PCLF,Total UCLF,Total OCLF,Total UCLF+OCLF,Non Comm Sentout,Drakensberg Gen Unit Hours,Palmiet Gen Unit Hours,Ingula Gen Unit Hours +2018/04/01 00:00,0,19904.967,20367.066,20237,20237,20722.058,1215.902,1120,19444,931,0,0,360,0,0,0,0,0,-2,-2,0,-1614,454.964,0,17.555,12.539,485.058,2077.72,1474.19,300,21.78,3873.69,44546,3987.472,8028.71,275.907,8304.617,383,81.8,36.9,30.41 +2018/04/01 01:00,0,19553.899,19988.733,19744,19744,20188.493,1203.474,1106,19297,930,0,0,360,0,0,0,0,0,-2,-2,0,-1945,392.958,0,39.131,12.404,444.493,2077.72,1474.19,300,21.78,3873.69,44546,3987.472,7727.302,244.907,7972.209,388,83,38.5,32.85 +2018/04/01 02:00,0,19314.284,19731.239,19631,19631,20019.603,1177.571,1117,19165,931,0,0,360,0,0,0,0,0,-2,-2,0,-1938,337.358,0,39.163,12.082,388.603,2077.72,1474.19,300,21.78,3873.69,44546,3987.472,7704.704,193.727,7898.431,388,83.8,40.3,35.6 +2018/04/01 03:00,0,19342.679,19753.554,19731,19731,20079.454,1184.312,1118,19279,930,0,0,360,0,0,0,0,0,-2,-2,0,-1952,297.234,0,38.942,12.278,348.454,2077.72,1474.19,300,21.78,3873.69,44546,3990.072,7702.868,187,7889.868,389,85,42,37.76 +2018/04/01 04:00,0,19538.89,19988.365,19890,19890,20237.49,1197.271,1108,19369,930,0,0,360,0,0,0,0,0,-2,-2,0,-1873,309.978,0,25.024,12.488,347.49,2077.72,1474.19,300,21.78,3873.69,44546,3990.472,7685.115,187,7872.115,385,85.8,43.7,40.32 +2018/04/01 05:00,0,20103.838,20600.806,20372,20372,20729.45,1270.385,1125,19342,931,0,0,360,0,0,0,0,0,-2,-2,0,-1382,345.302,0,0,12.148,357.45,2077.72,1474.19,300,21.78,3873.69,44546,4017.139,7724.264,187,7911.264,384,87,45.6,42.74 +2018/04/01 06:00,0,21036.213,21560.2,21280,21280,21636.397,1289.362,1178,19363,931,0,0,360,0,0,0,0,0,-2,-2,0,-548,335.408,8.849,0,12.14,356.397,2077.72,1474.19,300,21.78,3873.69,44546,4054.472,7588.141,187,7775.141,383,87.4,47.2,44.44 +2018/04/01 07:00,0,22681.703,23447.173,22651,22651,23317.205,1367.023,1214,19867,932,0,0,475,208,0,0,0,0,-2,-2,0,-41,364.519,289.484,0.257,11.945,666.205,2077.72,1474.19,300,21.78,3873.69,44546,4639.472,7473.138,187,7660.138,380,87.8,47.6,44.82 +2018/04/01 08:00,0,24013.352,25242.639,23677,23677,24814.033,1396.007,1236,20645,931,0,0,481,416,0,0,0,0,-2,-2,0,-28,325.85,757.341,42.06,11.782,1137.033,2077.72,1474.19,300,21.78,3873.69,44546,4639.472,7338.785,187,7525.785,384,87.4,47.2,44.69 +2018/04/01 09:00,0,24241.366,25795.037,24053,24053,25485.461,1395.675,1234,20880,931,0,0,362,679,0,0,0,0,-2,-2,0,-29,298.114,1023.372,98.601,12.374,1432.461,2077.72,1474.19,300,21.78,3873.69,44546,4639.472,7503.23,187,7690.23,386,87.4,46,43.93 +2018/04/01 10:00,0,23991.598,25713.658,23708,23708,25410.147,1407.647,1217,20593,930,0,0,360,642,0,0,0,0,-2,-2,0,-30,406.136,1139.942,143.683,12.386,1702.147,2077.72,1474.19,300,21.78,3873.69,44546,4639.472,7476.381,187,7663.381,381.004,86.6,44.85,43.05 +2018/04/01 11:00,0,23765.734,25541.204,23225,23637.5,25441.002,1424.925,1209,20516,930,0,0,360,248,0,0,412.5,0,-2,-2,0,-34,449.808,1191.935,149.134,12.625,1803.502,2077.72,1474.19,300,21.78,3873.69,44546,4639.472,7459.074,187,7646.074,385,85.4,43.7,42.31 +2018/04/01 12:00,0,23523.74,25278.346,22841,23308.5,25127.191,1435.328,1205,20099,930,0,0,360,282,0,0,467.5,0,-2,-1,0,-32,444.294,1167.252,194.491,12.654,1818.691,2077.72,1474.19,300,21.78,3873.69,44546,4639.472,7474.712,187,7661.712,382,85.4,43.7,41.64 +2018/04/01 13:00,0,23010.643,24725.401,22264,22264,24028.863,1263.491,1220,19700,930,0,0,360,94,0,0,0,0,-2,-2,0,-36,430.223,1143.799,178.35,12.491,1764.863,2077.72,1474.19,300,21.78,3873.69,44546,4639.472,7407.353,187,7594.353,385,85,43.7,40.74 +2018/04/01 14:00,0,22381.707,24038.028,21625,21625,23449.222,1227.089,1234,19145,930,0,0,360,0,0,0,0,0,-2,-2,0,-40,515.08,1111.404,185.248,12.49,1824.222,2077.72,1474.19,300,21.78,3873.69,44546,4639.472,7396.367,200.817,7597.184,381,85,43.7,40.38 +2018/04/01 15:00,0,22310.223,23847.695,21510,21510,23279.236,1224.292,1253,19010,931,0,0,360,0,0,0,0,0,-2,-2,0,-40,593.833,958.969,203.8,12.634,1769.236,2077.72,1474.19,300,21.78,3873.69,44546,4559.522,7393.344,338.983,7732.327,379,84.6,43.7,40.32 +2018/04/01 16:00,0,22660.859,24023.786,21739,21739,23361.206,1307.277,1230,19223,931,0,0,360,36,0,0,0,0,-2,-2,0,-37,677.779,688.097,243.848,12.482,1622.206,2077.72,1474.19,300,21.78,3873.69,44546,4504.236,7379.483,187,7566.483,380,84.6,43.7,40.32 +2018/04/01 17:00,0,23678.06,24712.683,23074,23074,24243.66,1379.294,1238,19857,930,0,0,360,724,0,0,0,0,-2,-2,0,-31,651.578,275.729,229.877,12.476,1169.66,2077.72,1474.19,300,21.78,3873.69,44546,4472,7082.068,187,7269.068,377.002,84.6,43.7,40.32 +2018/04/01 18:00,0,25714.194,26458.402,25017,25017,25859.329,1613.563,1160,21146,930,0,0,475,1329,0,0,0,0,-2,-2,0,-19,617.218,10.285,202.058,12.768,842.329,2077.72,1474.19,300,21.78,3873.69,44546,4472,6840.74,187,7027.74,376,84.2,42.5,38.65 +2018/04/01 19:00,0,25665.505,26328.402,24863,24863,25596.216,1631.14,1136,20817,930,0,0,480,1519,0,0,0,0,-2,-2,0,-15,620.011,0,102.817,10.388,733.216,2077.72,1474.19,300,21.78,3873.69,44546,4312.75,6777.189,268.173,7045.362,377,83.4,41.7,36.13 +2018/04/01 20:00,0,23987.31,24575.451,23245,23245,23971.261,1555.726,1145,19365,929,0,0,480,1345,0,0,0,0,-2,-2,0,-15,591.699,0,124.044,10.518,726.261,2077.72,1474.19,300,21.78,3873.69,44546,4277,6927.98,392.611,7320.591,375,82.6,38.9,33.58 +2018/04/01 21:00,0,22349.928,22811.954,21670,21670,22275.372,1419.317,1148,18866,929,0,0,362,505,0,0,0,0,-2,-2,0,-136,453.522,0,138.3,13.55,605.372,2077.72,1474.19,300,21.78,3873.69,44546,4277,6963.407,393.81,7357.217,375,81.8,36.9,30.94 +2018/04/01 22:00,0,21002.46,21425.592,20598,20598,21085.547,1313.41,1107,19234,930,0,0,360,0,0,0,0,0,-2,-2,0,-1029,450.634,0,23.28,13.633,487.547,2077.72,1474.19,300,21.78,3873.69,44546,4277,6632.18,502.32,7134.5,376,81.8,35.7,30.11 +2018/04/01 23:00,0,19896.457,20297.255,19644,19644,20145.396,1217.104,1136,19413,930,0,0,360,0,0,0,0,0,-2,-2,0,-2191,488.998,0,0,12.398,501.396,2077.72,1474.19,300,21.78,3873.69,44546,4277,6558.504,482.752,7041.256,379,81.8,36.1,32.04 +2018/04/02 00:00,0,19183.867,19525.933,19151,19151,19545.296,1184.357,1111,19066,930,0,0,360,0,0,0,0,0,-2,-2,0,-2312,381.887,0,0,12.409,394.296,2077.72,1474.19,300,21.78,3873.69,44546,3641.9,6712.897,457.308,7170.205,375,82.6,38.5,35.45 +2018/04/02 01:00,0,18820.802,19172.091,18952,18952,19314.7,1177.653,1118,18837,930,0,0,360,0,0,0,0,0,-2,-2,0,-2289,349.681,0,0,13.019,362.7,2077.72,1474.19,300,21.78,3873.69,44546,3620,6712.897,522.721,7235.618,374,83.4,40.3,38.88 +2018/04/02 02:00,0,18718.435,19102.419,18742,18742,19074.827,1170.474,1066,18771,930,0,0,288,0,0,0,0,0,-2,-2,0,-2309,319.729,0,0,13.098,332.827,2077.72,1474.19,300,21.78,3873.69,44546,3620,6554.23,519.84,7074.07,373,84.6,42,42.68 +2018/04/02 03:00,0,18712.473,19132.057,18894,18894,19217.768,1159.371,965,18936,930,0,0,353,0,0,0,0,0,-2,-2,0,-2286,311.318,0,0,12.45,323.768,2077.72,1474.19,300,21.78,3873.69,44546,3620,6456.196,495.11,6951.306,377,85.4,43.7,44.95 +2018/04/02 04:00,0,18897.132,19359.685,18844,18844,19308.717,1162.401,655,19176,930,0,0,360,0,0,0,0,0,-2,-2,0,-2273,452.104,0,0,12.613,464.717,2077.72,1474.19,300,21.78,3873.69,44546,3620,6454.496,492.52,6947.016,371,86.6,45.6,48.57 +2018/04/02 05:00,0,19450.1,19943.449,19219,19219,19922.751,1212.116,444,19527,930,0,0,360,0,0,0,0,0,-2,-2,0,-2038,690.813,0,0,12.938,703.751,2077.72,1474.19,300,21.78,3873.69,44546,3620,6445.86,562.22,7008.08,371,87.8,47.2,51.61 +2018/04/02 06:00,0,20071.285,20678.209,19840,19840,20612.493,1145.54,741,19151,930,0,0,360,0,0,0,0,0,-2,-2,0,-1338,751.685,7.854,0,12.954,772.493,2077.72,1474.19,300,21.78,3873.69,44546,3620,6439.256,568.97,7008.226,371.002,89,48.8,54.19 +2018/04/02 07:00,0,21556.978,22369.858,21464,21464,22360.386,1225.445,1116,19257,930,0,0,463,0,0,0,0,0,-2,-2,0,-298,718.884,163.807,0,13.695,896.386,2077.72,1474.19,300,21.78,3873.69,44546,3620,6383.279,569.413,6952.692,369.002,89.7,49.6,55.59 +2018/04/02 08:00,0,23353.202,24474.131,22940,22940,24094.921,1306.963,1219,19776,930,0,0,482,568,0,0,0,0,-2,-2,0,-31,622.083,473.016,46.146,13.676,1154.921,2077.72,1474.19,300,21.78,3873.69,44546,3620,6398.78,583.401,6982.181,373,89.4,49.6,56.11 +2018/04/02 09:00,0,24144.712,25561.186,23878,23878,25168.768,1318.07,1232,19966,930,0,0,387,1384,0,0,0,0,-2,-2,0,-17,437.597,684.485,155.521,13.165,1290.768,2077.72,1474.19,300,21.78,3873.69,44546,3620,6368.863,707.877,7076.74,356,89.4,49.6,54.92 +2018/04/02 10:00,0,24294.65,25974.359,23934,23934,25394.726,1359.212,1188,19945,930,0,0,360,1527,0,0,0,0,-2,-2,0,-12,500.894,762.917,183.502,13.413,1460.726,2077.72,1474.19,300,21.78,3873.69,44546,3620,6308.281,753,7061.281,343,86.6,48.8,52.75 +2018/04/02 11:00,0,24023.313,25840.181,23597,23597,25265.869,1403.648,1180,19649,930,0,0,360,1495,0,0,0,0,-2,-2,0,-13,626.474,843.907,184.828,13.66,1668.869,2077.72,1474.19,300,21.78,3873.69,44546,3620,6521.484,651.667,7173.151,161,85.8,47.6,50.21 +2018/04/02 12:00,0,23731.82,25666.643,23253,23253,25083.842,1414.294,1181,19399,929,0,0,360,1400,0,0,0,0,-2,-2,0,-12,767.461,842.404,207.486,13.491,1830.842,2077.72,1474.19,300,21.78,3873.69,44546,3620,6900.84,373,7273.84,0,83.8,47.2,47.7 +2018/04/02 13:00,0,23296.248,25271.511,22645,22645,24619.492,1366.57,1195,19552,930,0,0,360,643,0,0,0,0,-2,-2,0,-31,894.016,849.783,217.302,13.391,1974.492,2077.72,1474.19,300,21.78,3873.69,44546,3620,6880.902,373,7253.902,0,82.2,46,44.95 +2018/04/02 14:00,0,23064.386,24958.64,22430,22430,24342.784,1322.967,1197,19663,929,0,0,360,324,0,0,0,0,-2,-2,0,-39,884.74,811.364,203.11,13.57,1912.784,2077.72,1474.19,300,21.78,3873.69,44546,3620,6872.885,298.6,7171.485,0.002,82.2,46,43.17 +2018/04/02 15:00,0,23350.809,25047.126,22907,22907,24503.364,1326.667,1192,19923,929,0,0,360,541,0,0,0,0,-2,-2,0,-34,839.616,577.949,165.299,13.5,1596.364,2077.72,1474.19,300,21.78,3873.69,44546,3620,6821.986,187,7008.986,0,82.2,46,42.18 +2018/04/02 16:00,0,24131.806,25599.814,23376,23376,24992.523,1340.334,1205,20877,929,0,0,360,55,0,0,0,0,-2,-2,0,-46,1102.16,311.493,189.427,13.443,1616.523,2077.72,1474.19,300,21.78,3873.69,44546,3620,6817.204,187,7004.204,0,81.8,46,41.09 +2018/04/02 17:00,0,25569.466,26727.442,24562,24562,26231.695,1417.902,1217,22074,928,0,0,360,34,0,0,0,0,-2,-2,0,-47,1361.553,135.351,159.255,13.536,1669.695,2077.72,1474.19,300,21.78,3873.69,44546,3620,6744.167,187,6931.167,0,81.8,46,41.39 +2018/04/02 18:00,0,27580.619,28526.509,26561,26561,27973.787,1642.64,1162,23364,928,0,0,454,686,0,0,0,0,-2,-2,0,-29,1238.437,5.917,155.576,12.857,1412.787,2077.72,1474.19,300,21.78,3873.69,44546,3620,6420.613,187,6607.613,275,81.8,46,41.39 +2018/04/02 19:00,0,27367.433,28278.136,26128,26128,27375.821,1612.11,1127,23566,928,0,0,481,188,0,0,0,0,-2,-2,0,-158,1083.291,0,151.34,13.19,1247.821,2077.72,1474.19,300,21.78,3873.69,44546,3620,6289.502,187,6476.502,388,81.4,45.6,39.45 +2018/04/02 20:00,0,25306.173,26200.583,24512,24512,25351.975,1498.244,1116,22802,929,0,0,480,0,0,0,0,0,-2,-2,0,-811,691.817,0,134.595,13.563,839.975,2077.72,1474.19,300,21.78,3873.69,44546,3620,6270.396,187,6457.396,387,81.8,44.8,39.91 +2018/04/02 21:00,0,23360.687,24134.477,22637,22637,23370.451,1367.319,1118,21872,929,0,0,384,0,0,0,0,0,-2,-2,0,-1662,620.114,0,99.625,13.712,733.451,2077.72,1474.19,300,21.78,3873.69,44546,3620,6187.656,187,6374.656,388,82.6,44.8,40.865 +2018/04/02 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18:00,0,28090.328,29186.833,27678.817,27678.817,28835.41,2005.044,1045,23997.417,919,0,0,435,1306,0,0,0,0,-2,-1.6,0,-20,928.988,11.889,205.767,9.949,1156.593,2079.76,1474.19,300,21.78,3875.73,44072,5993,7337.131,286.004,7623.135,727.003,68.2,31,30.11 +2018/10/06 19:00,0,27998.934,29057.92,28082.82,28082.82,29235.719,2031.024,1031,23651.42,919,0,0,505,1995,0,0,0,0,-2,-1.6,0,-15,946.132,0,197.052,9.715,1152.899,2079.76,1474.19,300,21.78,3875.73,44072,5992.742,7299.179,317.751,7616.93,728,67,29.4,28.21 +2018/10/06 20:00,0,26296.701,27327.323,26339.69,26339.69,27497.584,1906.159,1014,23321.42,919,0,0,294,824,0,0,0,0,-2,-1.73,0,-29,957.659,0,190.47,9.765,1157.894,2079.76,1474.19,300,21.78,3875.73,44072,5990.42,7339.045,306.35,7645.395,728,64.7,27.4,25.87 +2018/10/06 21:00,0,24555.631,25531.52,24676.426,24676.426,25763.678,1685.955,1004,23180.156,919,0,0,7,64,0,0,0,0,-2,-1.73,0,-494,890.602,0,186.851,9.799,1087.252,2079.76,1474.19,300,21.78,3875.73,44072,5990.42,7293.572,298.85,7592.422,728,63.3,25.8,24.89 +2018/10/06 22:00,0,22979.947,23822.283,23379.453,23379.453,24238.21,1674.768,1082,23248.053,919,0,0,0,0,0,0,0,0,-2,-1.6,0,-1866,780.074,0,68.868,9.815,858.757,2079.76,1474.19,300,21.78,3875.73,44072,5990.42,7148.258,298.85,7447.108,728,63.7,26.2,24.99 +2018/10/06 23:00,0,21879.971,22604.556,22160.388,22160.388,22840.749,1613.412,1141,22630.118,920,0,0,0,0,0,0,0,0,-2,-1.73,0,-2527,627.541,0,43.213,9.607,680.361,2079.76,1474.19,300,21.78,3875.73,44072,5990.42,7562.268,265.367,7827.635,728,65.6,27.8,27.18 +2018/10/07 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07:00,0,27481,28308.905,27424.004,27424.004,28266.37,1743.932,1298,24698.934,918,0,0,199,359,0,0,0,0,-2,-4.93,0,-42,283.673,522.086,25.51,11.097,842.366,2079.76,1474.19,300,21.78,3875.73,44072,5038,5538.608,401.295,5939.903,731,87.4,51.2,51.47 +2018/10/10 08:00,0,27792,29078.131,27292.083,27292.083,28787.421,1797.325,1287,23859.143,918,0,0,211,1046,0,0,0,0,-2,-5.06,0,-22,411.159,867.319,206.556,10.304,1495.338,2079.76,1474.19,300,21.78,3875.73,44072,5047.333,6275.189,407.803,6682.992,730,87.4,50.8,50.49 +2018/10/10 09:00,0,27364,29077.707,26844.286,26844.286,28612.311,1753.143,1274,23672.216,918,0,0,211,805,0,0,0,0,-2,-4.93,0,-29,461.714,1051.039,244.928,10.344,1768.025,2079.76,1474.19,300,21.78,3875.73,44072,5178,6348.012,396.379,6744.391,730,86.6,50,48.3 +2018/10/10 10:00,0,27389,29394.923,26750.589,26750.589,28656.011,1753.254,1214,23714.519,917,0,0,125,818,0,0,0,0,-2,-4.93,0,-31,510.407,1164.081,220.433,10.501,1905.422,2079.76,1474.19,300,21.78,3875.73,44072,5178,6499.53,390.212,6889.742,725,86.6,49.6,46.84 +2018/10/10 11:00,0,27208,29347.465,26752.386,26752.386,28768.97,1766.674,1202,23790.186,917,0,0,121,756,0,0,0,0,-2,-4.8,0,-27,536.392,1250.104,219.765,10.323,2016.584,2079.76,1474.19,300,21.78,3875.73,44072,5178,6220.347,386.379,6606.726,689,86.6,48,44.95 +2018/10/10 12:00,0,26905,29061.338,26788.187,26788.187,28844.616,1827.222,1227,23569.247,918,0,0,121,978,0,0,0,0,-2,-5.06,0,-18,593.92,1233.921,218.736,9.852,2056.429,2079.76,1474.19,300,21.78,3875.73,44072,5178,6152.83,386.379,6539.209,553,86.6,47.2,43.24 +2018/10/10 13:00,0,26643,28760.979,26789.931,26789.931,28867.354,1777.43,1245,23623.731,918,0,0,6,1017,0,0,0,0,-2,-4.8,0,-13,728.464,1146.145,192.835,9.979,2077.423,2079.76,1474.19,300,21.78,3875.73,44072,5178,6320.457,386.379,6706.836,552,86.6,46.8,40.97 +2018/10/10 14:00,0,26785,28831.835,26981.62,26981.62,29031.261,1805.149,1260,24069.42,918,0,0,0,770,0,0,0,0,-2,-4.8,0,-29,809.688,1016.78,213.037,10.136,2049.641,2079.76,1474.19,300,21.78,3875.73,44072,5178,6717.195,386.379,7103.574,551,86.6,45.4,38.43 +2018/10/10 15:00,0,27426,29324.191,27644.183,27651.683,29550.701,1811.482,1300,24658.243,918,0,0,0,806,0,0,7.5,0,-2,-5.06,0,-31,861.589,815.477,211.249,10.703,1899.018,2079.76,1474.19,300,21.78,3875.73,44072,5178,7111.164,481.63,7592.794,596,86.6,44,36.66 +2018/10/10 16:00,0,27912,29592.975,28200.04,28215.04,29924.385,1871.081,1323,25443.83,917,0,0,0,559,0,0,15,0,-2,-4.79,0,-36,915.121,568.791,214.813,10.62,1709.345,2079.76,1474.19,300,21.78,3875.73,44072,4675.917,7210.887,621.236,7832.123,726,86.2,43.7,34.88 +2018/10/10 17:00,0,28600,29970.054,29152.644,29152.644,30478.082,1944.86,1320,26029.574,917,0,0,53,871,0,0,0,0,-2,-4.93,0,-31,891.68,198.509,224.677,10.572,1325.438,2079.76,1474.19,300,21.78,3875.73,44072,4563,6949.457,668.82,7618.277,728,86.2,43.7,33.23 +2018/10/10 18:00,0,30694,31881.704,30774.114,31048.114,32080.509,2210.999,1241,26184.174,918,0,0,465,1982,0,0,274,0,-2,-5.06,0,-9,824.132,10.519,187.015,10.729,1032.395,2079.76,1474.19,300,21.78,3875.73,44072,4563,6767.372,642.203,7409.575,728,85.4,41.7,31.58 +2018/10/10 19:00,0,30882,31987.641,30841.554,31115.554,32004.769,2261.854,1209,26159.484,918,0,0,507,2063,0,0,274,0,-2,-4.93,0,-8,696.801,0,181.731,10.683,889.215,2079.76,1474.19,300,21.78,3875.73,44072,4556.48,6675.723,550.236,7225.959,728,83,40.3,28.71 +2018/10/10 20:00,0,29066,30105.562,28811.61,28811.61,29614.159,1939.025,1189,25558.67,917,0,0,258,914,0,0,0,0,-2,-5.06,0,-18,620.082,0,172.096,10.371,802.549,2079.76,1474.19,300,21.78,3875.73,44072,4555.329,6784.416,493.479,7277.895,728,80.6,38.9,26.14 +2018/10/10 21:00,0,26530,27503.564,26335.877,26335.877,27158.482,1664.066,1185,24933.937,917,0,0,0,26,0,0,0,0,-2,-5.06,0,-719,641.903,0,170.464,10.238,822.605,2079.76,1474.19,300,21.78,3875.73,44072,4555.329,6823.139,434.846,7257.985,728,79.4,38.5,24.6 +2018/10/10 22:00,0,24374,25181.011,24492.813,24492.813,25130.467,1634.649,1287,24510.613,918,0,0,0,0,0,0,0,0,-2,-4.8,0,-2216,548.511,0,78.821,10.322,637.654,2079.76,1474.19,300,21.78,3875.73,44072,4821.996,6530.339,406.379,6936.718,729,80.2,38.9,25.32 +2018/10/10 23:00,0,22887,23602.347,23246.94,23246.94,23831.664,1585.054,1261,23579,918,0,0,0,0,0,0,0,0,-2,-5.06,0,-2504,547.573,0,27.463,9.688,584.724,2079.76,1474.19,300,21.78,3875.73,44072,5195.329,6328.813,406.379,6735.192,721,81.8,40.9,28.13 +2018/10/11 00:00,0,22384,23038.268,22527.35,22527.35,23108.541,1536.829,1318,22785.41,918,0,0,0,0,0,0,0,0,-2,-5.06,0,-2487,549.125,0,22.914,9.152,581.191,2079.76,1474.19,300,21.78,3875.73,44072,5195.329,6349.859,406.379,6756.238,719,83.4,42.5,31.53 +2018/10/11 01:00,0,22011,22623.818,22258.93,22258.93,22782.649,1531.019,1298,22553.86,918,0,0,0,0,0,0,0,0,-2,-4.93,0,-2504,491.771,0,22.809,9.139,523.719,2079.76,1474.19,300,21.78,3875.73,44072,5195.329,6263.862,406.379,6670.241,719,85.4,44.8,34.57 +2018/10/11 02:00,0,22067,22612.945,22198.34,22198.34,22715.376,1516.412,1316,22411.4,918,0,0,0,0,0,0,0,0,-2,-5.06,0,-2440,485.149,0,22.615,9.272,517.036,2079.76,1474.19,300,21.78,3875.73,44072,5195.329,6326.719,406.379,6733.098,727,87,46.8,37.87 +2018/10/11 03:00,0,22406,22893.74,22463.91,22463.91,23035.685,1525.21,1286,22607.71,919,0,0,0,0,0,0,0,0,-2,-4.8,0,-2342,539.881,0,22.535,9.359,571.775,2079.76,1474.19,300,21.78,3875.73,44072,5195.329,6748.879,406.379,7155.258,729,89,47.6,41.03 +2018/10/11 04:00,0,23601,24063.286,23975.649,23975.649,24518.88,1590.543,1255,24029.709,919,0,0,0,0,0,0,0,0,-2,-5.06,0,-2221,511.193,0,22.663,9.375,543.231,2079.76,1474.19,300,21.78,3875.73,44072,5195.329,6794.036,406.379,7200.415,729,90.3,50,43.8 +2018/10/11 05:00,0,27026,27534.62,27368.141,27368.141,27956.727,1861.926,1149,24907.201,918,0,0,0,588,0,0,0,0,-2,-5.06,0,-187,566.951,0.836,11.173,9.626,588.586,2079.76,1474.19,300,21.78,3875.73,44072,5195.329,6697.095,406.379,7103.474,729,91.8,50.8,47.03 +2018/10/11 06:00,0,28489,29156.204,28607.322,28607.322,29237.307,1824.73,1267,25227.252,918,0,0,0,1218,0,0,0,0,-2,-4.93,0,-16,518.353,101.62,0,10.012,629.985,2079.76,1474.19,300,21.78,3875.73,44072,5195.329,6550.094,406.379,6956.473,729,91.2,51.2,46.05 +2018/10/11 07:00,0,27437,28559.12,27664.043,27664.043,28655.293,1707.476,1257,24211.843,918,0,0,203,1104,0,0,0,0,-2,-4.8,0,-23,432.449,496.096,52.613,10.092,991.25,2079.76,1474.19,300,21.78,3875.73,44072,5195.329,6543.493,406.379,6949.872,729,90.3,51.2,43.68 +2018/10/11 08:00,0,27509,29195.239,27655.01,27655.01,29197.197,1747.08,1244,24100.94,917,0,0,211,1209,0,0,0,0,-2,-4.93,0,-20,508.951,828.261,194.13,10.845,1542.187,2079.76,1474.19,300,21.78,3875.73,44072,5206.996,6527.016,406.379,6933.395,729,88.6,51.2,41.88 +2018/10/11 09:00,0,27113,29165.249,27393.913,27393.913,29174.17,1757.752,1241,23934.927,917,0,0,211,1117,0,0,0,0.046,-2,-5.06,0,-20,492.105,1044.256,233.082,10.814,1780.257,2079.76,1474.19,300,21.78,3875.73,44072,5335.329,6485.605,406.379,6891.984,729,86.6,50.8,40.03 +2018/10/11 10:00,0,26991,29270.857,26941.727,27047.477,29171.089,1809.973,1232,23804.657,917,0,0,127,893,0,0,105.75,0,-2,-4.93,0,-25,689.362,1167.695,255.903,10.652,2123.612,2079.76,1474.19,300,21.78,3875.73,44072,5335.329,6682.204,406.379,7088.583,729,85.4,50,38.59 +2018/10/11 11:00,0,26844,29317.173,26803.224,26904.474,29251.873,1863.33,1222,23765.284,917,0,0,121,811,0,0,101.25,0,-2,-5.06,0,-26,859.164,1232.554,245.156,10.525,2347.399,2079.76,1474.19,300,21.78,3875.73,44072,5335.329,6693.549,406.379,7099.928,729,83.8,48.8,37.64 +2018/10/11 12:00,0,26692,29311.696,26506.249,26506.249,29004.957,1824.74,1227,23671.179,916,0,0,121,614,0,0,0,0,-2,-4.93,0,-36,996.128,1221.376,270.721,10.483,2498.708,2079.76,1474.19,300,21.78,3875.73,44072,5335.329,6730.298,406.379,7136.677,712,82.2,47.6,36.83 +2018/10/11 13:00,0,26296,28974.983,26303.34,26303.34,28898.81,1810.242,1228,23591.4,916,0,0,2,611,0,0,0,0,-2,-5.06,0,-38,1172.702,1141.275,271.323,10.17,2595.47,2079.76,1474.19,300,21.78,3875.73,44072,5335.329,6845.384,522.929,7368.313,624,81,47.2,36.66 +2018/10/11 14:00,0,26600,29295.391,26512.453,26512.453,29160.935,1847.129,1226,23926.635,916,0,0,0,491,0,0,0,0.008,-2,-5.19,0,-40,1328.311,1039.86,270.165,10.146,2648.482,2079.76,1474.19,300,21.78,3875.73,44072,5335.329,6826.522,644.832,7471.354,552,79.8,46,36.66 +2018/10/11 15:00,0,27261,29854.373,26935.744,26935.744,29552.26,1851.457,1236,24662.544,916,0,0,0,172,0,0,0,0,-2,-4.8,0,-44,1500.977,837.502,267.947,10.09,2616.516,2079.76,1474.19,300,21.78,3875.73,44072,5339.42,6673.217,738.379,7411.596,552,78.6,45.6,36.66 +2018/10/11 16:00,0,27782,30176.69,27636.88,27636.88,30088.901,1940.556,1251,25000.07,915,0,0,0,511,0,0,0,0,-2,-5.19,0,-33,1606.483,579.655,255.882,10.001,2452.021,2079.76,1474.19,300,21.78,3875.73,44072,5317.333,6681.661,732.446,7414.107,552,78.6,44,36.66 +2018/10/11 17:00,0,28520,30577.069,28427.65,28427.65,30547.333,2019.581,1255,25221.58,915,0,0,61,1006,0,0,0,0,-2,-4.93,0,-24,1650.371,221.312,237.999,10.001,2119.683,2079.76,1474.19,300,21.78,3875.73,44072,5202.976,6596.336,751.713,7348.049,552,78.6,42.5,35.92 +2018/10/11 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11:00,0,27404.727,30038.066,26519.303,26519.303,29160.291,1846.145,1129,24014.363,915,0,0,121,367,0,0,0,0,-2,-5.06,0,-20,1093.928,1290.67,247.322,9.068,2640.988,2079.76,1474.19,300,21.78,3875.73,44072,5648.664,7954.23,503.304,8457.534,929,55.5,28.2,33.82 +2018/10/19 12:00,0,26905.677,29679.1,26148.646,26148.646,28916.402,1824.2,1149,23719.576,915,0,0,121,274,0,0,0,0,-2,-4.93,0,-23,1229.525,1281.52,247.763,8.948,2767.756,2079.76,1474.19,300,21.78,3875.73,44072,5648.664,8036.834,509.304,8546.138,898,55.5,28.2,32.65 +2018/10/19 13:00,0,26352.964,29191.009,25667.503,25667.503,28611.319,1842.732,1157,23338.433,915,0,0,17,272,0,0,0,0,-2,-4.93,0,-25,1446.617,1237.636,250.34,9.223,2943.816,2079.76,1474.19,300,21.78,3875.73,44072,5648.664,8251.906,523.304,8775.21,884,55.5,28.2,31.85 +2018/10/19 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17:00,0,26666.517,28811.032,26409.45,26409.45,28808.834,1824.618,1144,24270.38,916,0,0,0,115,0,0,0,0,-2,-4.93,0,-29,1818.971,288.137,283.928,8.348,2399.384,2079.76,1474.19,300,21.78,3875.73,44072,5686.521,8308.314,588.304,8896.618,1108,55.5,27,30.54 +2018/10/19 18:00,0,28236.985,30002.073,28133.696,28133.696,30124.45,2082.326,1145,24615.626,916,0,0,410,1074,0,0,0,0,-2,-4.93,0,-20,1741.245,23.268,217.616,8.625,1990.754,2079.76,1474.19,300,21.78,3875.73,44072,5693.201,7843.857,640.504,8484.361,1040,55,27,30.54 +2018/10/19 19:00,0,28573.677,30175.41,28854.734,28854.734,30654.71,2152.739,1146,24715.794,916,0,0,493,1595,0,0,0,0,-2,-5.06,0,-4,1576.386,0,215.987,7.603,1799.976,2079.76,1474.19,300,21.78,3875.73,44072,5693.201,7605.953,630.887,8236.84,929,53,26.2,29.59 +2018/10/19 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05:00,0,22453.683,23725.773,22285.597,22285.597,23678.306,1603.612,998,22200.657,918,0,0,0,0,0,0,0,0,-2,-5.06,0,-1824,1381.795,2.974,0,7.94,1392.709,2079.76,1474.19,300,21.78,3875.73,44072,6415.096,7664.06,647.917,8311.977,730,63.3,37.7,39.11 +2018/10/20 06:00,0,23794.854,25238.339,23455.184,23455.184,25062.513,1553.435,992,23340.374,918,0,0,0,0,0,0,0,0,-2,-5.19,0,-1788,1416.412,182.704,0,8.213,1607.329,2079.76,1474.19,300,21.78,3875.73,44072,6415.096,7604.313,671.28,8275.593,730,64.7,38.9,40.68 +2018/10/20 07:00,0,25025.268,26949.935,25004.606,25004.606,27087.401,1668.845,1048,23692.406,918,0,0,195,0,0,0,0,0,-2,-4.8,0,-842,1375.419,645.105,53.727,8.544,2082.795,2079.76,1474.19,300,21.78,3875.73,44072,6415.096,7595.574,671.28,8266.854,730,66.5,40.9,42.37 +2018/10/20 08:00,0,26058.461,28390.402,25991.277,25991.277,28402.233,1667.738,1004,23636.467,918,0,0,328,165,0,0,0,0,-2,-5.19,0,-53,1349.968,971.682,80.937,8.369,2410.956,2079.76,1474.19,300,21.78,3875.73,44072,6415.096,7586.187,671.28,8257.467,730,67.8,40.9,42.93 +2018/10/20 09:00,0,26280.135,28855.337,26151.981,26151.981,28791.212,1697.703,976,23398.911,918,0,0,330,552,0,0,0,0,-2,-4.93,0,-16,1365.937,1192.188,72.67,8.436,2639.231,2079.76,1474.19,300,21.78,3875.73,44072,6415.096,7683.55,652.28,8335.83,634,67.8,40.3,42.93 +2018/10/20 10:00,0,25953.337,28663.595,25918.807,25918.807,28602.562,1692.837,964,23193.867,919,0,0,212,651,0,0,0,0,-2,-5.06,0,-14,1273.598,1291.713,109.388,9.056,2683.755,2079.76,1474.19,300,21.78,3875.73,44072,6415.096,7762.907,646.53,8409.437,438,67.8,38.1,42.31 +2018/10/20 11:00,0,25714.015,28465.513,25810.793,25810.793,28559.995,1747.717,1041,23070.983,919,0,0,14,783,0,0,0,0,-2,-5.19,0,-10,1261.673,1331.348,146.845,9.336,2749.202,2079.76,1474.19,300,21.78,3875.73,44072,6415.096,7655.722,662.28,8318.002,388,67.8,36.1,41.39 +2018/10/20 12:00,0,25520.885,28262.259,25644.693,25644.693,28406.495,1645.941,1021,23068.493,919,0,0,0,656,0,0,0,0,-2,-4.8,0,-13,1226.948,1324.753,201.689,8.412,2761.802,2079.76,1474.19,300,21.78,3875.73,44072,6415.096,7578.467,662.28,8240.747,412,67.8,34.1,40.21 +2018/10/20 13:00,0,25215.958,27987.688,25148.944,25148.944,27869.83,1626.234,1018,23128.004,919,0,0,0,117,0,0,0,0,-2,-5.06,0,-26,1231.635,1298.983,181.317,8.951,2720.886,2079.76,1474.19,300,21.78,3875.73,44072,6415.096,7567.214,716.597,8283.811,498,67.8,32.1,39.39 +2018/10/20 14:00,0,25170.933,27936.912,24916.053,24945.386,27565.593,1622.252,1022,23015.723,919,0,0,0,0,0,0,29.333,0,-2,-4.67,0,-34,1266.005,1178.837,165.931,9.434,2620.207,2079.76,1474.19,300,21.78,3875.73,44072,6415.096,7806.604,733.28,8539.884,730,67.8,31,39.33 +2018/10/20 15:00,0,25263.864,27874.188,24759.736,24776.403,27315.112,1715.354,1028,23088.666,918,0,0,0,0,0,0,16.667,0,-2,-4.93,0,-268,1347.884,974.664,206.507,9.654,2538.709,2079.76,1474.19,300,21.78,3875.73,44072,6415.096,7643.573,785.247,8428.82,732,67.8,31,39.33 +2018/10/20 16:00,0,25718.577,28110.691,25017.594,25017.594,27389.548,1685.947,1029,23538.784,918,0,0,0,0,0,0,0,0,-2,-5.19,0,-461,1434.175,721.127,207.087,9.565,2371.954,2079.76,1474.19,300,21.78,3875.73,44072,6415.096,7426.267,834.28,8260.547,731,68.2,31,37.83 +2018/10/20 17:00,0,26420.48,28495.934,26057.598,26057.598,28067.609,1816.21,1011,23929.398,918,0,0,10,254,0,0,0,0,-2,-4.8,0,-58,1514.51,283.267,202.779,9.455,2010.011,2079.76,1474.19,300,21.78,3875.73,44072,6415.096,7282.651,834.28,8116.931,693,69.4,31,39.33 +2018/10/20 18:00,0,28062.393,29807.449,28154.707,28154.707,29868.819,2294.894,1016,24078.897,919,0,147,451,1557,0,0,0,0,-2,-5.19,0,-7,1492.679,23.693,188.037,9.703,1714.112,2079.76,1474.19,300,21.78,3875.73,44072,6415.096,7168.918,761.547,7930.465,559,69,30.6,39.33 +2018/10/20 19:00,0,27894.464,29550.801,28371.767,28371.767,30025.557,2308.869,1028,23973.697,919,0,278,463,1720,0,0,0,0,-2,-4.93,0,-3,1453.885,0,190.149,9.756,1653.79,2079.76,1474.19,300,21.78,3875.73,44072,6415.096,7142.719,651.547,7794.266,554,66.5,29,38.09 +2018/10/20 20:00,0,26115.763,27720.202,26372.053,26372.053,27947.8,1875.206,975,23918.113,919,0,72,258,324,0,0,0,0,-2,-5.06,0,-87,1391.27,0,174.726,9.751,1575.747,2079.76,1474.19,300,21.78,3875.73,44072,6415.096,7191.999,651.28,7843.279,554,63.3,27,36.45 +2018/10/20 21:00,0,24104.659,25679.931,24155.793,24155.793,25630.172,1603.665,980,23447.593,919,0,0,9,0,0,0,0,0,-2,-4.8,0,-1193,1376.46,0,88.149,9.77,1474.379,2079.76,1474.19,300,21.78,3875.73,44072,6434.263,7478.763,648.947,8127.71,556,62.8,26.2,36.4 +2018/10/20 22:00,0,22684.915,24058.215,22571.627,22571.627,23935.061,1597.738,1034,22453.557,919,0,0,0,0,0,0,0,0,-2,-4.93,0,-1828,1302.136,0,51.617,9.681,1363.434,2079.76,1474.19,300,21.78,3875.73,44072,6990.096,7297.436,581.28,7878.716,555,64.7,27.8,37.26 +2018/10/20 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11:00,0,27997.64,29893.983,28876.992,28876.992,30594.712,1731.102,746,24352,1843,0,0,0,1923,0,0,0,25.592,-2,-1.6,0,-9,365.222,1126.013,214.05,12.435,1717.72,2079.76,1474.19,500,21.78,4075.73,43691,1379.294,11211.371,489.325,11700.696,1999,82.2,38.9,36.14 +2019/06/13 12:00,0,27657.568,29526.137,28531.43,28531.43,30111.702,1676.502,746,24396,1844,0,0,0,1021,0,0,0,551.16,-2,-1.73,0,-23,273.266,1087.113,206.49,13.403,1580.272,2079.76,1474.19,500,21.78,4075.73,43691,1379.294,11812.688,613.69,12426.378,2004.004,79.8,36.9,33.81 +2019/06/13 13:00,0,27342.886,29172.52,28272.706,28272.706,29791.866,1672.891,797,24672,1844,0,0,0,899,0,0,0,84.436,-2,-1.73,0,-20,187.905,1106.626,211.582,13.047,1519.16,2079.76,1474.19,500,21.78,4075.73,43691,1379.294,11667.906,613.69,12281.596,2020,78.6,36.1,32.13 +2019/06/13 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22:00,0,17795.952,18779.129,17944.27,17944.27,18950.983,1356.022,1370,17584,885,0,0,90,0,0,0,0,0,-2,-4.73,0,-1978,992.404,0,0,14.309,1006.713,2079.76,1774.19,500,21.78,4375.73,45017,4727.483,8256.296,1901.116,10157.412,462,79.4,40.9,15.23 +2020/04/27 23:00,0,16526.712,17310.164,16543.27,16543.27,17674.222,1300.922,1367,16433,885,0,0,90,0,0,0,0,0,-2,-1.73,0,-2228,1116.371,0,0,14.581,1130.952,2079.76,1774.19,500,21.78,4375.73,45017,4691,8288.919,1901.116,10190.035,500,81,43.3,17.23 +2020/04/28 00:00,0,15715.743,16437.978,15622.27,15622.27,16783.3,1214.201,1252,15958,885,0,0,90,0,0,0,0,0,-2,-1.73,0,-2559,1146.994,0,0,14.036,1161.03,2079.76,1774.19,500,21.78,4375.73,45017,4691,8081.12,1891.669,9972.789,497,83.4,44.8,19.88 +2020/04/28 01:00,0,15361.323,16120.371,15262.27,15262.27,16338.097,1212.486,954,15876,885,0,0,90,0,0,0,0,0,-2,-1.73,0,-2539,1061.548,0,0,14.279,1075.827,2079.76,1774.19,500,21.78,4375.73,45017,4691,8249.35,1886.2,10135.55,501,84.6,46.8,23.02 +2020/04/28 02:00,0,15168.03,15869.459,15221.27,15221.27,16245.233,1294.805,918,15861,884,0,0,90,0,0,0,0,0,-2,-1.73,0,-2528,1009.437,0,0,14.526,1023.963,2079.76,1774.19,500,21.78,4375.73,45017,4691,8254.016,1886.2,10140.216,492,86.2,48,26.61 +2020/04/28 03:00,0,15291.368,15983.775,15322.4,15322.4,16207.452,1233.656,896,15959,885,0,0,90,0,0,0,0,0,-2,-1.6,0,-2504,870.601,0,0,14.451,885.052,2079.76,1774.19,500,21.78,4375.73,45017,4691,8254.016,1886.2,10140.216,505,88.2,50,29.55 +2020/04/28 04:00,0,15861.511,16594.517,15736.27,15736.27,16713.687,1242.402,1055,16179,885,0,0,90,0,0,0,0,0,-2,-1.73,0,-2469,963.218,0,0,14.199,977.417,2079.76,1774.19,500,21.78,4375.73,45017,4691,8541.184,1886.2,10427.384,505,89.7,51.2,32.75 +2020/04/28 05:00,0,16698.06,17425.798,16470.27,16470.27,17534.482,1289.251,1390,16465,886,0,0,90,0,0,0,0,0,-2,-1.73,0,-2357,1050.226,0,0,13.986,1064.212,2079.76,1774.19,500,21.78,4375.73,45017,4691,8959.128,1886.2,10845.328,505,91.2,53.2,35.89 +2020/04/28 06:00,0,17847.513,18570.556,17641.4,17641.4,18624.618,1334.8,1373,17010,886,0,0,281,0,0,0,0,0,-2,-1.6,0,-1905,968.675,0.119,0,14.424,983.218,2079.76,1774.19,500,21.78,4375.73,45017,4835.55,8822.05,1886.2,10708.25,504,92.4,54.4,39.03 +2020/04/28 07:00,0,19278.014,20098.897,19213.27,19213.27,20387.344,1302.573,1382,17280,886,0,0,298,0,0,0,0,0,-2,-1.73,0,-629,1048.43,111.608,0,14.036,1174.074,2079.76,1774.19,500,21.78,4375.73,45017,4838,8672.843,1886.2,10559.043,501,94.2,55.5,41.51 +2020/04/28 08:00,0,20599.331,21765.285,21015.4,21015.4,22498.609,1387.168,1397,18077,886,0,0,180,495,0,0,0,0,-2,-1.6,0,-16,957.363,510.462,0.093,15.291,1483.209,2079.76,1774.19,500,21.78,4375.73,45017,4838,8836.65,1886.2,10722.85,503,94.5,55.9,41.51 +2020/04/28 09:00,0,21331.603,22786.586,22306.27,22306.27,23962.427,1411.066,1414,18663,886,0,0,96,1264,0,0,0,0,-2,-1.73,0,-13,832.542,761.807,46.251,15.557,1656.157,2079.76,1774.19,500,21.78,4375.73,45017,4838,8897.938,1867.533,10765.471,504,93.9,55.9,40.57 +2020/04/28 10:00,0,21751.433,23391.376,22960.27,22960.27,24937.169,1578.715,1413,18958,886,0,0,90,1626,0,0,0,0,-2,-1.73,0,-9,875.963,953.292,133.415,14.229,1976.899,2079.76,1774.19,500,21.78,4375.73,45017,4838,8930.211,1856.2,10786.411,504,93,55.2,38.43 +2020/04/28 11:00,0,21861.314,23587.897,22961.354,22961.354,25026.285,1623.739,1418,19107,885,0,0,90,1477,0,0,0,0.084,-2,-1.73,0,-12,841.387,988.955,219.846,14.743,2064.931,2079.76,1774.19,500,21.78,4375.73,45017,4838,9135.717,1826.2,10961.917,531,91.8,53.6,35.89 +2020/04/28 12:00,0,21919.41,23643.911,22884.481,22884.481,24921.554,1610.63,1425,19400,885,0,0,90,1101,0,0,0,0.081,-2,-1.6,0,-13,801.838,993.172,227.844,14.219,2037.073,2079.76,1774.19,500,21.78,4375.73,45017,4838,9817.756,1826.2,11643.956,517,90.6,52.8,33.37 +2020/04/28 13:00,0,21709.76,23297.787,22780.27,22780.27,24825.014,1568.174,1440,19496,885,0,0,90,887,0,0,0,0,-2,-1.73,0,-14,763.674,972.538,293.687,14.845,2044.744,2079.76,1774.19,500,21.78,4375.73,45017,4838,9720.036,1826.2,11546.236,501,89.4,51.2,31.88 +2020/04/28 14:00,0,21874.68,23415.273,22822.27,22822.27,24722.73,1527.108,1454,19496,885,0,0,90,914,0,0,0,0,-2,-1.73,0,-13,701.366,892.673,291.448,14.973,1900.46,2079.76,1774.19,500,21.78,4375.73,45017,4838,9795.206,1826.2,11621.406,503,88.6,50,30.19 +2020/04/28 15:00,0,22389.213,23864.718,23299.703,23299.703,25017.897,1581.762,1467,19457,885,0,117,90,1292,0,0,0,4.233,-2,-0.53,0,-10,655.905,748.949,298.247,15.093,1718.194,2079.76,1774.19,500,21.78,4375.73,45017,4838,9770.388,1828.7,11599.088,505,88.2,49.6,28.15 +2020/04/28 16:00,0,23459.212,24804.835,24571.603,24571.603,25988.366,1610.728,1458,19292,885,0,447,244,1968,0,0,0,282.603,-2,0,0,-3,587.514,502.864,311.488,14.897,1416.763,2079.76,1774.19,500,21.78,4375.73,45017,4838,9798.78,1856.2,11654.98,506,87.4,48.8,25.44 +2020/04/28 17:00,0,24985.92,26111.647,25842.628,26390.128,27378.329,1613.793,1419,19436,886,0,616,546,2472,547.5,0,0,469.628,-2,0,0,0,549.359,114.736,309.767,14.339,988.201,2079.76,1774.19,500,21.78,4375.73,45017,4838,9484.956,1856.2,11341.156,530,85.8,47.2,21.96 +2020/04/28 18:00,0,26106.008,27170.978,26219.783,26812.283,27671.456,1564.021,1392,19267,885,0,1271,533,1894,592.5,0,0,983.783,-2,0,0,-4,574.858,0.099,269.406,14.81,859.173,2079.76,1774.19,500,21.78,4375.73,45017,4838,9218.94,1957.407,11176.347,531,83,44.8,18.19 +2020/04/28 19:00,0,24196.985,25241.978,24624.862,24632.362,25522.851,1450.513,1363,19325,885,0,756,126,1252,7.5,0,0,928.862,-2,0,0,-9,641.519,0,234.274,14.696,890.489,2079.76,1774.19,500,21.78,4375.73,45017,4838,8964.74,2016,10980.74,574,81,43.3,15.09 +2020/04/28 20:00,0,22035.396,23107.394,23075.88,23075.88,23909.698,1535.723,1352,19155,885,0,496,90,692,0,0,0,418.88,-2,0,0,-11,622.3,0,197.056,14.462,833.818,2079.76,1774.19,500,21.78,4375.73,45017,4838,8913.243,2016,10929.243,564,79.8,41.7,13.55 +2020/04/28 21:00,0,20215.257,21258.597,21215.53,21215.53,22012.677,1451.068,1359,19047,885,0,13,90,141,0,0,0,0,-2,-1.47,0,-316,622.395,0,160.519,14.233,797.147,2079.76,1774.19,500,21.78,4375.73,45017,4838,8834.455,2016,10850.455,543,78.2,39.7,13.55 +2020/04/28 22:00,0,18387.228,19349.898,19262.27,19262.27,19946.559,1384.526,1376,18711,885,0,0,90,0,0,0,0,0,-2,-1.73,0,-1796,662.187,0,8.845,13.257,684.289,2079.76,1774.19,500,21.78,4375.73,45017,4838,8811.531,2016,10827.531,517,78.2,39.7,13.97 +2020/04/28 23:00,0,17002.044,17871.8,17847.4,17847.4,18477.36,1382.441,1254,17754,885,0,0,90,0,0,0,0,0,-2,-1.6,0,-2132,617.066,0,0,12.894,629.96,2079.76,1774.19,500,21.78,4375.73,45017,4838,8888.413,2016,10904.413,563,79.4,40.9,16.06 +2020/04/29 00:00,0,16311.089,17124.198,16891.4,16891.4,17471.367,1263.644,1109,17151,885,0,0,90,0,0,0,0,0,-2,-1.6,0,-2340,567.01,0,0,12.957,579.967,2079.76,1774.19,500,21.78,4375.73,45017,4838,9700.736,2016,11716.736,580,81.4,42,18.39 +2020/04/29 01:00,0,15814.787,16543.048,16468.4,16468.4,16964.582,1270.017,1115,16933,885,0,0,90,0,0,0,0,0,-2,-1.6,0,-2551,484.89,0,0,11.292,496.182,2079.76,1774.19,500,21.78,4375.73,45017,4838,9782.679,2016,11798.679,570,82.6,43.7,21.22 +2020/04/29 02:00,0,15661.965,16329.116,16171.27,16171.27,16723.962,1247.581,1121,16603,885,0,0,90,0,0,0,0,0,-2,-1.73,0,-2524,539.694,0,0,12.998,552.692,2079.76,1774.19,500,21.78,4375.73,45017,4838,9396.022,2016,11412.022,542,84.6,46,24.53 +2020/04/29 03:00,0,15765.656,16332.14,16238.4,16238.4,16833.379,1246.414,1117,16655,885,0,0,90,0,0,0,0,0,-2,-1.6,0,-2505,580.76,0,0,14.219,594.979,2079.76,1774.19,500,21.78,4375.73,45017,4838,9259.601,2016,11275.601,569,86.2,47.2,27.7 +2020/04/29 04:00,0,16240.896,16823.604,16967.4,16967.4,17458.028,1323.096,1127,17317,885,0,0,90,0,0,0,0,0,-2,-1.6,0,-2448,477.699,0,0,12.929,490.628,2079.76,1774.19,500,21.78,4375.73,45017,4838,8781.918,2016,10797.918,547,88.2,49.6,31 +2020/04/29 05:00,0,16986.972,17623.2,17575.27,17575.27,18019.828,1353.366,1139,17950,886,0,0,90,0,0,0,0,0,-2,-1.73,0,-2486,431.896,0,0,12.662,444.558,2079.76,1774.19,500,21.78,4375.73,45017,4838,8414.601,2016,10430.601,573,89.7,50.8,34.18 +2020/04/29 06:00,0,18074.593,18761.366,18400.4,18400.4,18853.896,1091.849,1171,18343,886,0,0,204,0,0,0,0,0,-2,-1.6,0,-2200,440.148,0.434,0,12.914,453.496,2079.76,1774.19,500,21.78,4375.73,45017,4838,8634.207,2016,10650.207,578,90.8,52.8,37.47 +2020/04/29 07:00,0,19435.968,20345.884,20195.27,20195.27,20772.794,1119.938,1150,18427,886,0,0,299,24,0,0,0,0,-2,-1.73,0,-587,398.46,165.681,0,13.383,577.524,2079.76,1774.19,500,21.78,4375.73,45017,4838,8692.768,2016,10708.768,582,92.4,53.6,40.04 +2020/04/29 08:00,0,20849.367,22024.12,21826.27,21826.27,22885.068,1424.544,1305,18388,886,0,0,180,1085,0,0,0,0,-2,-1.73,0,-14,321.041,707.928,15.53,14.299,1058.798,2079.76,1774.19,500,21.78,4375.73,45017,4838,8726.681,2016,10742.681,606,93.6,53.6,40.21 +2020/04/29 09:00,0,21253.409,22729.677,22439.94,22439.94,23907.395,1558.795,1354,18555,885,0,0,255,1411,0,0,0,0,-2,-5.06,0,-13,238.534,1021.382,193.286,14.253,1467.455,2079.76,1774.19,500,21.78,4375.73,45017,4838,9029.38,2016,11045.38,647,92.1,53.2,38.43 +2020/04/29 10:00,0,21614.689,23168.702,22404.07,22404.07,24146.512,1513.471,1369,18684,885,0,0,360,1127,0,0,0,0,-2,-4.93,0,-14,241.231,1194.914,292.112,14.185,1742.442,2079.76,1774.19,500,21.78,4375.73,45017,4488,9026.181,2016,11042.181,636,90.8,52,35.95 +2020/04/29 11:00,0,21592.583,23230.498,22080.07,22080.07,23951.478,1530.78,1370,18210,885,0,0,360,1276,0,0,0,0,-2,-4.93,0,-14,213.053,1306.683,339.435,12.237,1871.408,2079.76,1774.19,500,21.78,4375.73,45017,4488,8631.361,2016,10647.361,475,89.7,51.2,34.67 +2020/04/29 12:00,0,21590.289,23202.689,22384.94,22384.94,24243.646,1801.844,1367,17989,885,0,0,360,1798,0,0,0,0,-2,-5.06,0,-7,193.193,1329.792,322.615,13.106,1858.706,2079.76,1774.19,500,21.78,4375.73,45017,4488,8555.612,2016,10571.612,413,87.8,50,32.5 +2020/04/29 13:00,0,21602.031,23245.207,22372.2,22372.2,24148.552,1811.864,1377,17867,885,0,0,360,1893,0,0,0,0,-2,-4.8,0,-3,154.601,1298.706,309.217,13.828,1776.352,2079.76,1774.19,500,21.78,4375.73,45017,4488,8593.252,2016,10609.252,425,86.2,47.6,29.93 +2020/04/29 14:00,0,21700.021,23243.098,22304.94,22304.94,24008.391,1772.175,1383,18025,885,0,0,360,1662,0,0,0,0,-2,-5.06,0,-3,119.433,1254.165,316.1,13.753,1703.451,2079.76,1774.19,500,21.78,4375.73,45017,4488,8835.821,2016,10851.821,445,85,46,26.8 +2020/04/29 15:00,0,22366.554,23782.699,22988.4,22988.4,24487.449,1857.108,1378,18599,885,0,0,360,1770,0,0,0,0,-2,-1.6,0,0,98.365,1061.929,325.486,13.269,1499.049,2079.76,1774.19,500,21.78,4375.73,45017,4602,9332.805,2016,11348.805,463,84.2,43.7,23.41 +2020/04/29 16:00,0,23694.433,24839.498,24165.93,24165.93,25370.945,1688.186,1222,19726,885,0,105,360,1871,0,0,0,0,-2,-1.07,0,0,122.139,714.025,355.141,13.71,1205.015,2079.76,1774.19,500,21.78,4375.73,45017,4848,9440.075,2016,11456.075,547,83.4,41.7,20.08 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20:00,0,22068.994,22688.622,23793.31,23793.31,24235.639,1648.833,1106,20065,885,0,764,360,69,0,0,0,995.31,-2,0,0,-449,96.04,0,332.519,13.77,442.329,2079.76,1774.19,500,21.78,4375.73,45017,4928,9274.196,2016,11290.196,550,75.4,33.7,26.405 +2020/04/29 21:00,0,20453.971,21041.408,21897.047,21897.047,22317.247,1515.026,1271,19599,885,0,557,360,0,0,0,0,428.047,-2,0,0,-1201,140.755,0,266.153,13.292,420.2,2079.76,1774.19,500,21.78,4375.73,45017,4734,9763.319,2016,11779.319,551,75.4,33.7,31.26 +2020/04/29 22:00,0,18806.469,19274.392,20060.93,20060.93,20209.795,1432.197,1332,19174,885,0,167,360,0,0,0,0,0,-2,-1.07,0,-1854,100.225,0,36.199,12.441,148.865,2079.76,1774.19,500,21.78,4375.73,45017,4488,10134.725,2016,12150.725,547,75.4,34.1,23.035 +2020/04/29 23:00,0,17645.311,18018.901,18559.27,18559.27,18715.672,1364.105,1323,18548,885,0,0,360,0,0,0,0,0,-2,-1.73,0,-2553,108.477,0,36.115,11.81,156.402,2079.76,1774.19,500,21.78,4375.73,45017,4488,10105.737,2016,12121.737,462,76.2,34.9,20.543 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04:00,0,16682.044,17001.201,17274.27,17274.27,17486.874,1219.547,1347,17197,886,0,0,360,0,0,0,0,0,-2,-1.73,0,-2512,200.606,0,0,11.998,212.604,2079.76,1774.19,500,21.78,4375.73,45017,4488,10230.961,2016,12246.961,456,84.2,44,31.13 +2020/04/30 05:00,0,17284.13,17616.192,18019.27,18019.27,18265.172,1281.378,1376,17936,884,0,0,360,0,0,0,0,0,-2,-1.73,0,-2533,233.742,0,0,12.16,245.902,2079.76,1774.19,500,21.78,4375.73,45017,4488,10424.61,2016,12440.61,448,86.2,45.6,34.36 +2020/04/30 06:00,0,18505.43,18923.895,19032.4,19032.4,19284.046,1168.622,1358,18345,886,0,0,362,0,0,0,0,0,-2,-1.6,0,-1915,238.388,1.707,0,11.551,251.646,2079.76,1774.19,500,21.78,4375.73,45017,4488,10345.826,2016,12361.826,456,87.8,47.2,37.47 +2020/04/30 07:00,0,19912.721,20516.558,20523.27,20523.27,21065.311,1205.572,1355,18424,886,0,0,476,5,0,0,0,0,-2,-1.73,0,-619,310.16,219.862,0,12.019,542.041,2079.76,1774.19,500,21.78,4375.73,45017,4488,10231.695,2016,12247.695,458,89.7,48.8,39.26 +2020/04/30 08:00,0,21165.465,22220.764,21337.27,21337.27,22576.382,1288.797,1386,18370,886,0,0,360,356,0,0,0,0,-2,-1.73,0,-17,286.8,893.1,46.474,12.738,1239.112,2079.76,1774.19,500,21.78,4375.73,45017,4488,10165.249,2016,12181.249,456,90.6,50,39.38 +2020/04/30 09:00,0,21753.76,23226.138,21598.4,21598.4,23210.386,1388.414,1416,18413,885,0,0,360,539,0,0,0,0,-2,-1.6,0,-11,167.296,1203.763,229.413,11.514,1611.986,2079.76,1774.19,500,21.78,4375.73,45017,4488,10136.017,2016,12152.017,455,90.3,50,38.31 +2020/04/30 10:00,0,22058.172,23761.318,21642.27,21642.27,23436.954,1512.068,1433,18312,885,0,0,360,666,0,0,0,0,-2,-1.73,0,-10,122.274,1350.418,310.711,11.281,1794.684,2079.76,1774.19,500,21.78,4375.73,45017,4488,10168.705,2016,12184.705,452,90.3,50,36.8 +2020/04/30 11:00,0,21998.463,23796.856,21388.4,21388.4,23289.741,1546.242,1437,17830,885,0,0,360,888,0,0,0,0,-2,-1.6,0,-8,134.88,1432.506,323.169,10.786,1901.341,2079.76,1774.19,500,21.78,4375.73,45017,4488,10329.512,2016,12345.512,500,90.3,49.6,35.34 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15:00,0,22267.308,23795.678,21240.07,21240.07,22847.651,1472.872,1442,18287,885,0,0,360,284,0,0,0,0,-2,-0.93,0,-15,125.766,1151.997,317.579,12.239,1607.581,2079.76,1774.19,500,21.78,4375.73,45017,4488,10331,1836,12167,430,88.6,47.2,28.41 +2020/04/30 16:00,0,23453.869,24656.146,22834,22834,24049.492,1524.381,1437,19217,885,0,1,360,943,0,0,0,0,-2,0,0,-7,111.741,748.241,343.267,12.243,1215.492,2079.76,1774.19,500,21.78,4375.73,45017,4488,10283.803,1836,12119.803,428,88.6,47.2,27.58 +2020/04/30 17:00,0,25262.827,26006.7,25279.445,25279.445,25851.995,1394.28,1387,19764,885,0,535,476,1883,0,0,0,357.445,-2,0,0,-6,87.345,129.713,343.209,12.283,572.55,2079.76,1774.19,500,21.78,4375.73,45017,4488,9987.632,1836,11823.632,432,87.8,46.8,25.9 +2020/04/30 18:00,0,25984.218,26572.169,26983.301,26983.301,27425.664,1509.069,1367,20046,884,0,828,596,2299,0,0,0,965.301,-2,0,0,0,97.316,0.067,332.644,12.336,442.363,2079.76,1774.19,500,21.78,4375.73,45017,4488,9454.116,1836,11290.116,430,85.8,44.8,22.89 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03:00,0,16011.461,16284.056,16158.07,16158.07,16490.072,1053.887,1368,16057,885,0,0,360,0,0,0,0,0,-2,-4.93,0,-2505,320.582,0,0,11.42,332.002,2079.76,1774.19,500,21.78,4375.73,45017,3265.5,11068.297,1736,12804.297,458,87.4,47.6,30.82 +2020/05/01 04:00,0,16370.25,16699.536,16502.2,16502.2,16936.729,1092.665,1371,16381,885,0,0,362,0,0,0,0,0,-2,-4.8,0,-2490,423.17,0,0,11.359,434.529,2079.76,1774.19,500,21.78,4375.73,45017,3218,10972.841,1736,12708.841,459,89.4,48.8,33.99 +2020/05/01 05:00,0,17007.656,17390.159,16944.81,16944.81,17459.505,1131.952,1414,16659,885,0,0,482,0,0,0,0,0,-2,-5.19,0,-2488,503.381,0,0,11.314,514.695,2079.76,1774.19,500,21.78,4375.73,45017,3218,11307.462,1736,13043.462,459,90.8,51.2,37.23 +2020/05/01 06:00,0,18103.967,18552.208,17768.94,17798.807,18264.169,1101.715,1423,16696,885,0,0,482,0,0,0,29.867,0,-2,-5.06,0,-1710,452.443,1.599,0,11.32,465.362,2079.76,1774.19,500,21.78,4375.73,45017,3218,11155.961,1736,12891.961,459,92.1,52.8,40.39 +2020/05/01 07:00,0,19618.407,20188.049,19151.94,19207.94,19806.788,1037.632,1460,16289,886,0,0,482,200,0,0,56,0,-2,-5.06,0,-158,357.495,229.869,0,11.484,598.848,2079.76,1774.19,500,21.78,4375.73,45017,3218,11579.361,1736,13315.361,460,93.6,54.4,41.97 +2020/05/01 08:00,0,20863.144,21823.884,20193.94,20249.94,21408.908,1089.493,1485,16267,886,0,0,478,1099,0,0,56,0,-2,-5.06,0,-14,245.324,866.722,35.151,11.771,1158.968,2079.76,1774.19,500,21.78,4375.73,45017,3218,11677.93,1736,13413.93,459,93.6,53.6,41.68 +2020/05/01 09:00,0,21440.604,22682.582,20633.94,20635.807,22193.997,1159.866,1494,16477,886,0,0,360,1438,0,0,1.867,0,-2,-5.06,0,-14,144.822,1199.776,201.98,11.612,1558.19,2079.76,1774.19,500,21.78,4375.73,45017,3218,12335.423,1736,14071.423,458,92.4,53.2,40.04 +2020/05/01 10:00,0,21699.468,23075.415,20907.94,20907.94,22585.871,1262.084,1500,16786,886,0,0,360,1393,0,0,0,0,-2,-5.06,0,-10,95.785,1340.499,229.413,12.234,1677.931,2079.76,1774.19,500,21.78,4375.73,45017,3218,12489.514,1736,14225.514,457,90.8,52,37.95 +2020/05/01 11:00,0,21656.046,23049.767,20729.94,20729.94,22447.545,1304.848,1493,16683,886,0,0,360,1324,0,0,0,0,-2,-5.06,0,-9,101.774,1393.602,209.588,12.641,1717.605,2079.76,1774.19,500,21.78,4375.73,45017,3218,12472.892,1736,14208.892,457,89.7,50.8,36.01 +2020/05/01 12:00,0,21517.188,22893.075,20641.94,20641.94,22323.263,1358.474,1483,16549,885,0,18,360,1363,0,0,0,0,-2,-5.06,0,-9,93.891,1386.008,189.292,12.132,1681.323,2079.76,1774.19,500,21.78,4375.73,45017,3200.85,12245.389,1786.667,14032.056,457,88.6,48.8,33.93 +2020/05/01 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01:00,0,19589.846,21042.136,19550.81,19550.81,20793.793,1302.796,1086,19755,884,0,0,0,0,0,0,0,0,-2,-5.19,0,-2167,1228.7,0,6.354,7.929,1242.983,2079.76,1814.19,500,21.78,4415.73,44926,5002.5,11483.285,1513.5,12996.785,0,81.8,38.9,35.34 +2020/08/13 02:00,0,19396.152,20748.462,19353.07,19353.07,20534.512,1248.037,1086,19569,884,0,0,0,0,0,0,0,0,-2,-4.93,0,-2179,1173.823,0,0,7.619,1181.442,2079.76,1814.19,500,21.78,4415.73,44926,4980,11602.122,1506,13108.122,0,83.4,40.9,37.77 +2020/08/13 03:00,0,19655.809,20944.412,19521.07,19521.07,20729.98,1268.699,1087,19725,883,0,0,0,0,0,0,0,0,-2,-4.93,0,-2167,1201.102,0,0,7.808,1208.91,2079.76,1814.19,500,21.78,4415.73,44926,4980,11602.765,1506,13108.765,0,85.4,43.3,40.09 +2020/08/13 04:00,0,20649.545,21860.414,20438.94,20438.94,21625.883,1268.093,1095,20369,883,0,0,0,0,0,0,0,0,-2,-5.06,0,-1901,1178.764,0,0,8.179,1186.943,2079.76,1814.19,500,21.78,4415.73,44926,4980,11467.681,1506,12973.681,0,87,44.8,42.55 +2020/08/13 05:00,0,22410.052,23558.645,22304.94,22304.94,23431.015,1385.264,1119,20669,883,0,0,4,78,0,0,0,0,-2,-5.06,0,-441,1118.029,0,0,8.046,1126.075,2079.76,1814.19,500,21.78,4415.73,44926,4980,11190.23,1506,12696.23,0,88.6,46.8,44.39 +2020/08/13 06:00,0,23320.419,24477.052,23539.94,23539.94,24552.385,1191.903,1246,20831,883,0,0,423,194,0,0,0,0,-2,-5.06,0,-30,1003.819,0.442,0,8.184,1012.445,2079.76,1814.19,500,21.78,4415.73,44926,4980,10765.706,1506,12271.706,0,89.4,47.2,44.34 +2020/08/13 07:00,0,25299.401,26523.643,25351.07,25351.07,26505.793,1287.194,1334,21247,883,0,0,215,1687,0,0,0,0,-2,-4.93,0,-8,998.069,139.219,8.772,8.663,1154.723,2079.76,1814.19,500,21.78,4415.73,44926,4980,10645.341,1506,12151.341,0,89,46.8,44.05 +2020/08/13 08:00,0,26342.363,28006.153,24993.81,26165.169,27965.354,1413.671,1367,21284,883,0,0,2,1473,0,1171.359,0,0,-2,-5.19,0,-8,975.191,756.769,58.3,9.925,1800.185,2079.76,1814.19,500,21.78,4415.73,44926,4980,10658.368,1506,12164.368,0,86.2,45.6,41.91 +2020/08/13 09:00,0,27056.916,29173.973,25086.07,26781.529,29110.223,1384.476,1349,21204,883,0,0,0,1660,0,1695.459,0,0,-2,-4.93,0,-3,939.583,1213.22,165.974,9.917,2328.694,2079.76,1814.19,500,21.78,4415.73,44926,4980,10673.429,1506,12179.429,0,85,44,39.68 +2020/08/13 10:00,0,26635.001,29043.021,24658.07,26371.204,28956.322,1400.659,1378,20839,883,0,0,0,1571,0,1713.134,0,0,-2,-4.93,0,-6,925.676,1374.181,275.791,9.47,2585.118,2079.76,1814.19,500,21.78,4415.73,44926,5070,10579.682,1538.6,12118.282,0,83,42.5,37.41 +2020/08/13 11:00,0,26129.365,28620.426,24268.86,25853.775,28510.777,1407.656,1386,20901.05,883,0,0,0,1125,0,1584.915,0,0,-2,-5.19,0,-19,909.796,1443.148,294.769,9.289,2657.002,2079.76,1814.19,500,21.78,4415.73,44926,5402.067,10144.286,1582.867,11727.153,0,80.6,41.7,35.1 +2020/08/13 12:00,0,25622.794,28137.998,23782.11,25305.906,28005.398,1412.615,1365,20512.3,885,0,0,0,1044,0,1523.796,0,0,-2,-5.19,0,-17,902.875,1445.209,342.232,9.176,2699.492,2079.76,1814.19,500,21.78,4415.73,44926,5438,10168.19,1722.944,11891.134,0,78.6,40.3,34.3 +2020/08/13 13:00,0,25236.614,27718.138,23668.54,24889.055,27562.589,1444.222,1359,20294.34,881,0,0,0,1161,0,1220.515,0,0,-2,-4.8,0,-20,891.587,1423.084,349.503,9.36,2673.534,2079.76,1814.19,500,21.78,4415.73,44926,5438,10401.543,1763.64,12165.183,0,77.4,38.9,33.06 +2020/08/13 14:00,0,25219.643,27575.929,23663.62,24842.161,27397.43,1404.739,1347,20304.15,881,0,0,4,1153,0,1178.541,0,0,-2,-4.53,0,-19,828.769,1356.813,360.02,9.667,2555.269,2079.76,1814.19,500,21.78,4415.73,44926,5165.933,10523.096,2246.238,12769.334,85,75.8,37.7,32.13 +2020/08/13 15:00,0,25880.45,27988.542,24301.889,25448.165,27787.092,1408.78,1371,20760.99,881,0,5,2,1126,0,1146.276,0,181.759,-2,-1.86,0,-22,760.507,1202.281,366.508,9.631,2338.927,2079.76,1814.19,500,21.78,4415.73,44926,5130,10251.002,2350.18,12601.182,213,73.8,35.5,31.19 +2020/08/13 16:00,0,27178.944,28854.185,25368.539,26680.886,28630.785,1434.8,1347,21407.52,881,0,630,0,486,0,1312.347,0,650.019,-2,0,0,-31,692.979,856.663,390.692,9.565,1949.899,2079.76,1814.19,500,21.78,4415.73,44926,5130,9961.631,2327.78,12289.411,293,72.6,33.7,30.31 +2020/08/13 17:00,0,28540.989,29621.13,26635.172,28216.76,29374.78,1387.154,1110,22085.47,881,0,818,41,1059,0,1560.088,21.5,662.702,-2,0,0,-20,580.224,221.468,346.718,9.61,1158.02,2079.76,1814.19,500,21.78,4415.73,44926,5130,9419.842,2293.847,11713.689,300,72.2,33.7,29.43 +2020/08/13 18:00,0,30942.4,31743.955,28594.798,30652.43,31473.655,1498.978,1121,22433.66,881,0,1415,538,1555,0,2030.632,27,664.138,-2,0,0,-11,532.727,0.803,278.061,9.634,821.225,2079.76,1814.19,500,21.78,4415.73,44926,5130,8922.151,2444.18,11366.331,309,71,32.1,28.28 +2020/08/13 19:00,0,30626.527,31352.365,28441.688,30359.504,31059.116,1404.136,1137,22733.31,881,0,1581,303,1150,0,1876.816,41,664.378,-2,0,0,-6,430.435,0,259.688,9.489,699.612,2079.76,1814.19,500,21.78,4415.73,44926,5130,8957.746,2123.88,11081.626,250,69.4,29.4,26.42 +2020/08/13 20:00,0,28884.024,29471.549,26987.747,28550.293,29155.349,1281.431,1161,22811.45,882,0,1505,36,92,0,1562.546,0,669.297,-2,0,0,-167,343.544,0,251.808,9.704,605.056,2079.76,1814.19,500,21.78,4415.73,44926,5130,9027.5,1884.78,10912.28,337,69,27.8,24.2 +2020/08/13 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04:00,0,18573.355,19748.788,19033.81,19033.81,20089.291,1603.048,1066,19221,885,0,0,0,0,0,0,0,0,-2,-5.19,0,-2131,1047.676,0,0,7.805,1055.481,2079.76,1814.19,500,21.78,4415.73,44926,4888,9255.57,1674.47,10930.04,371,93.3,50.8,43.07 +2020/08/16 05:00,0,19092.498,20232.31,19679.07,19679.07,20679.672,1646.567,1085,19654,885,0,0,15,0,0,0,0,0,-2,-4.93,0,-1953,992.597,0,0,8.005,1000.602,2079.76,1814.19,500,21.78,4415.73,44926,4888,9006.79,1674.47,10681.26,371,94.5,52.8,45.42 +2020/08/16 06:00,0,20157.987,21273.095,20727.2,20727.2,21718.883,1574.469,1121,19832,885,0,0,401,0,0,0,0,0,-2,-4.8,0,-1505,983.098,0.554,0,8.031,991.683,2079.76,1814.19,500,21.78,4415.73,44926,4888,8877.629,1674.47,10552.099,367,96.6,53.2,47.76 +2020/08/16 07:00,0,22283.672,23469.777,23161.81,23161.81,24231.081,1805.259,1282,20174,884,0,0,211,677,0,0,0,0,-2,-5.19,0,-59,897.162,163.817,0,8.292,1069.271,2079.76,1814.19,500,21.78,4415.73,44926,4888,8897.463,1707.627,10605.09,368,97.5,54.4,49.99 +2020/08/16 08:00,0,24441.153,26123.248,24892.2,24892.2,26534.297,1663.927,1324,21262,884,0,0,0,1437,0,0,0,0,-2,-4.8,0,-8,802.871,807.437,22.21,9.579,1642.097,2079.76,1814.19,500,21.78,4415.73,44926,4888,8945.33,1749.687,10695.017,369,96,54.4,48.91 +2020/08/16 09:00,0,25390.133,27631.996,25871.07,25871.07,28125.445,1613.681,1323,21973,884,0,0,0,1705,0,0,0,0,-2,-4.93,0,-7,897.198,1199.207,147.769,10.201,2254.375,2079.76,1814.19,500,21.78,4415.73,44926,4888,9166.884,1834.603,11001.487,367,94.2,53.2,47.48 +2020/08/16 10:00,0,25239.756,27769.459,26000.81,26000.81,28597.387,1611.063,1313,22051,885,0,0,0,1761,0,0,0,0,-2,-5.19,0,-2,931.544,1398.327,257.046,9.66,2596.577,2079.76,1814.19,500,21.78,4415.73,44926,4958.667,9381.719,2281.987,11663.706,366,91.8,50.8,45.64 +2020/08/16 11:00,0,24869.09,27474.216,25627.15,25701.65,28386.059,1444.169,1309,22017.34,885,0,0,0,1435,0,0,74.5,0,-2,-5.19,0,-12,931.688,1481.875,261.664,9.182,2684.409,2079.76,1814.19,500,21.78,4415.73,44926,4968,9424.789,2359.853,11784.642,329,90.3,48.8,43.48 +2020/08/16 12:00,0,24171.617,26815.42,24662.18,25228.38,27934.636,944.867,1301,21699.24,885,0,0,0,801,0,0,566.2,0,-2,-5.06,0,-17,926.554,1496.502,273.845,9.355,2706.256,2079.76,1814.19,500,21.78,4415.73,44926,4968,9448.805,2416.903,11865.708,181,88.6,46.8,41.86 +2020/08/16 13:00,0,23358.383,25992.428,24764.47,24764.47,27499.29,1553.635,1309,21699.27,885,0,0,0,892,0,0,0,0,-2,-4.8,0,-14,900.592,1466.523,358.46,9.245,2734.82,2079.76,1814.19,500,21.78,4415.73,44926,4968,9440.519,2597.52,12038.039,196,88.6,44,40.63 +2020/08/16 14:00,0,22599.961,25114.809,24024.73,24024.73,26697.85,1344.625,1224,22096.79,885,0,0,0,40,0,0,0,0,-2,-5.06,0,-214,902.962,1386.651,374.325,9.182,2673.12,2079.76,1814.19,500,21.78,4415.73,44926,4968,9258.141,2743.22,12001.361,319,88.6,43.3,38.85 +2020/08/16 15:00,0,22702.428,24996.745,24024.5,24024.5,26562.041,1251.068,1144,22313.56,885,0,0,0,15,0,0,0,0,-2,-5.06,0,-326,889.122,1260.604,378.591,9.224,2537.541,2079.76,1814.19,500,21.78,4415.73,44926,4968,9040.57,2806.72,11847.29,368,89,43.3,38.79 +2020/08/16 16:00,0,24001.488,25877.846,25258.65,25258.65,27311.769,1298.5,1145,22445.15,885,0,0,0,808,0,0,0,1.56,-2,-5.06,0,-19,753.986,901.368,388.507,9.258,2053.119,2079.76,1814.19,500,21.78,4415.73,44926,4902.6,8919.991,2757.665,11677.656,354,89.7,43.3,38.79 +2020/08/16 17:00,0,26768.578,28006.678,27727.47,27727.47,28925.989,1508.692,1146,22752.91,884,0,596,140,1399,0,0,0,825.823,-2,-2.263,0,-12,593.12,256.967,339.475,8.957,1198.519,2079.76,1814.19,500,21.78,4415.73,44926,4750,8911.338,2666.77,11578.108,358,89.4,43.3,36.99 +2020/08/16 18:00,0,29275.763,30202.987,30295.692,30295.692,31100.37,1763.227,1146,23049.73,885,0,1619,599,1986,0,0,0,1012.962,-2,0,0,0,598.921,1.365,195.299,9.093,804.678,2079.76,1814.19,500,21.78,4415.73,44926,4750,8906.172,2389.087,11295.259,396,87.8,42.5,34.36 +2020/08/16 19:00,0,28649.107,29506.169,29414.885,29414.885,30255.864,1577.683,1139,23346.65,901,0,1517,195,1315,0,0,0,1017.235,-2,0,0,-14,581.41,0,250.458,9.111,840.979,2079.76,1814.19,500,21.78,4415.73,44926,4750,8885.536,2255.57,11141.106,511,85,40.9,31.94 +2020/08/16 20:00,0,26712.598,27449.788,27679.397,27679.397,28400.708,1501.924,1130,23211.86,908,0,1294,0,230,0,0,0,979.537,-2,0,0,-72,460.907,0,250.9,9.504,721.311,2079.76,1814.19,500,21.78,4415.73,44926,4750,9137.291,2091.47,11228.761,544,83.4,39.7,29.87 +2020/08/16 21:00,0,24586.322,25192.683,25410.293,25410.293,26003.353,1416.471,1121,22931.25,908,0,1026,0,0,0,0,0,92.313,-2,-0.27,0,-666,341.834,0,241.688,9.538,593.06,2079.76,1814.19,500,21.78,4415.73,44926,4822.333,9323.49,2001.087,11324.577,546,83.4,39.7,29.43 +2020/08/16 22:00,0,22770.791,23166.446,23450.37,23450.37,23826.499,1532.603,1106,22462.03,907,0,46,0,0,0,0,0,0,-2,-4.66,0,-1064,312.919,0,54.475,8.735,376.129,2079.76,1814.19,500,21.78,4415.73,44926,4967,9430.781,1936.587,11367.368,546,83.8,40.3,29.81 +2020/08/16 23:00,0,20961.283,21304.978,21564.75,21564.75,21949.58,1471.549,1087,21648.68,908,0,0,0,0,0,0,0,0,-2,-4.93,0,-2072,329.675,0,47.053,8.102,384.83,2079.76,1814.19,500,21.78,4415.73,44926,4967,9567.044,1861.47,11428.514,549,85,41.7,30.82 +2020/08/17 00:00,0,20714.133,20998.338,20551.92,20551.92,20844.874,1306.826,1085,20723.72,908,0,0,0,0,0,0,0,0,-2,-4.8,0,-2158,241.807,0,43.082,8.065,292.954,2079.76,1814.19,500,21.78,4415.73,44926,4967,9982.015,1714.47,11696.485,552,86.6,43.7,32.82 +2020/08/17 01:00,0,20383.167,20605.255,19976.36,19976.36,20181.673,1206.987,1091,20164.42,908,0,0,0,0,0,0,0,0,-2,-5.06,0,-2180,156.19,0,40.944,8.179,205.313,2079.76,1814.19,500,21.78,4415.73,44926,4967,10226.58,1702.303,11928.883,552,89,45.6,35.4 +2020/08/17 02:00,0,20200.791,20410.412,19994.1,19994.1,20139.874,1157.824,1111,20141.29,908,0,0,0,0,0,0,0,0,-2,-5.19,0,-2159,135.099,0,2.72,7.955,145.774,2079.76,1814.19,500,21.78,4415.73,44926,4943.667,9972.655,1649.137,11621.792,552,90.3,47.2,37.77 +2020/08/17 03:00,0,20342.132,20556.867,20345.23,20345.23,20492.846,1213.922,1078,20523.29,908,0,0,0,0,0,0,0,0,-2,-5.06,0,-2157,139.272,0,0,8.344,147.616,2079.76,1814.19,500,21.78,4415.73,44926,4897,9848.64,1628.47,11477.11,551,91.8,48.8,40.27 +2020/08/17 04:00,0,21329.373,21577.158,21413.44,21413.44,21563.296,1210.837,1084,21566.5,908,0,0,0,0,0,0,0,0,-2,-5.06,0,-2138,141.788,0,0,8.068,149.856,2079.76,1814.19,500,21.78,4415.73,44926,4897,9827.083,1621.97,11449.053,552,93.6,50.8,42.55 +2020/08/17 05:00,0,22843.151,23142.608,23705.75,23705.75,23892.033,1405.866,1122,22722.55,908,0,0,209,0,0,0,0,0,-2,-4.8,0,-1249,178.526,0,0,7.757,186.283,2079.76,1814.19,500,21.78,4415.73,44926,4897,9822.552,1608.803,11431.355,553,95.1,52.8,44.91 +2020/08/17 06:00,0,24440.745,24812.08,25289.13,25289.13,25596.522,1414.257,1121,22825.19,908,0,0,212,381,0,0,0,0,-2,-5.06,0,-151,299.055,0.461,0,7.876,307.392,2079.76,1814.19,500,21.78,4415.73,44926,4897,9631.575,1543.47,11175.045,552,96,53.2,46.43 +2020/08/17 07:00,0,25683.57,26243.169,26586.91,26586.91,27227.593,1361.355,1145,22606.07,908,0,0,208,1575,0,0,0,159.77,-2,-4.93,0,-8,424.718,194.165,13.432,8.368,640.683,2079.76,1814.19,500,21.78,4415.73,44926,4896.15,9833.516,1543.47,11376.986,508,95.4,52.8,46.37 +2020/08/17 08:00,0,27212.736,28292.735,27598.201,27598.201,29134.9,1439.715,1158,22452.85,908,0,431,0,1989,0,0,0,665.951,-2,-3.6,0,-1,566.99,875.067,85.801,8.841,1536.699,2079.76,1814.19,500,21.78,4415.73,44926,4846,9957.428,1543.47,11500.898,422,94.2,50.8,44.39 +2020/08/17 09:00,0,28324.232,29966.393,28928.487,28928.487,30978.719,1510.197,1181,22636.48,908,0,1313,60,2106,0,0,0,727.807,-2,-0.8,0,-1,613.712,1230.956,196.593,8.971,2050.232,2079.76,1814.19,500,21.78,4415.73,44926,4846,9641.615,1543.47,11185.085,410,92.1,48,41.8 +2020/08/17 10:00,0,28050.536,30205.823,28485.612,28485.612,30988.086,1507.89,1186,22382.49,908,0,1804,0,1382,0,0,0,839.122,-2,0,0,-14,824.801,1372.97,295.642,9.061,2502.474,2079.76,1814.19,500,21.78,4415.73,44926,4846,10064.78,1577.303,11642.083,410,90,46,39.15 +2020/08/17 11:00,0,27287.576,29715.156,27960.302,27960.302,30663.698,1535.525,1187,22032.8,908,0,1802,0,1344,0,0,0,702.502,-2,0,0,-14,965.155,1409.504,319.717,9.02,2703.396,2079.76,1814.19,500,21.78,4415.73,44926,4846,10357.007,1620.003,11977.01,411,88.6,44.8,37.29 +2020/08/17 12:00,0,26680.052,29335.679,27156.998,27156.998,30125.245,1505.821,1182,22274.98,908,0,1692,0,1007,0,0,0,113.018,-2,0,0,-18,1183.115,1438.787,337.469,8.876,2968.247,2079.76,1814.19,500,21.78,4415.73,44926,4846,10259.525,1571.47,11830.995,411,86.6,43.7,35.4 +2020/08/17 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05:00,0,20801.887,21290.447,20703.27,20703.27,21153.281,1498.609,1139,20081,1598,0,0,3,0,0,0,0,0,-1,-1.73,0,-2115,406.665,3.607,31.392,8.347,450.011,2187.52,1957.09,500,21.78,4666.39,44926,5367,10932.896,483.35,11416.246,1095,96,47.2,44.45 +2020/10/25 06:00,0,22022.623,22733.817,21538.4,21538.4,22269.689,1383.373,1173,20040,1608,0,0,423,0,0,0,0,0,-1,-1.6,0,-1703,505.217,191.843,26.217,8.012,731.289,2187.52,1957.09,500,21.78,4666.39,44926,5367,10445.023,460,10905.023,1093,97.5,48.8,46.98 +2020/10/25 07:00,0,23384.409,24637.704,22472.27,22472.27,23985.426,1376.092,1209,20020,1621,0,0,270,0,0,0,0,0,-1,-1.73,0,-645,764.394,695.194,45.381,8.187,1513.156,2187.52,1957.09,500,21.78,4666.39,44926,5367,10106.764,460,10566.764,1077,98.4,50.8,49.29 +2020/10/25 08:00,0,24180.271,26012.864,23307.4,23307.4,25382.185,1393.571,1251,19739,1626,0,0,122,591,0,0,0,0,-1,-1.6,0,-19,865.544,1089.088,112.159,7.994,2074.785,2187.52,1957.09,500,21.78,4666.39,44926,5367,10024.271,533.519,10557.79,1047,98.4,51.2,50.58 +2020/10/25 09:00,0,24519.472,26766.775,23526.4,23526.4,26027.167,1380.238,1256,19634,1626,0,0,122,908,0,0,0,0,-1,-1.6,0,-17,828.6,1437.741,225.517,8.909,2500.767,2187.52,1957.09,500,21.78,4666.39,44926,5367,9873.423,617.54,10490.963,1046,96.9,51.2,49.88 +2020/10/25 10:00,0,24321.886,26833.356,23496.12,23496.12,26127.541,1359.974,1285,19289.85,1626,0,0,60,1244,0,0,0,0,-1,-1.73,0,-6,785.566,1537.281,299.678,8.896,2631.421,2187.52,1957.09,500,21.78,4666.39,44926,5367,9698.89,617.54,10316.43,1044,94.5,51.2,48.64 +2020/10/25 11:00,0,23993.638,26678.128,23221.4,23221.4,25894.053,1375.283,1259,18958,1626,0,0,0,1386,0,0,0,0,-1,-1.6,0,-5,747.691,1628.985,287.437,8.54,2672.653,2187.52,1957.09,500,21.78,4666.39,44926,5610.75,9574.144,617.54,10191.684,1041,93.3,50.8,47.32 +2020/10/25 12:00,0,23668.356,26480.67,22961.4,22961.4,25558.305,1380.945,1251,18747,1626,0,0,0,1347,0,0,0,0,-1,-1.6,0,-7,821.01,1501.401,266.044,8.45,2596.905,2187.52,1957.09,500,21.78,4666.39,44926,5952,9394.265,617.54,10011.805,1040,91.2,50,45.53 +2020/10/25 13:00,0,23213.063,26078.341,22851.53,22851.53,25285.277,1370.697,1231,18696,1626,0,0,0,1310,0,0,0,0,-1,-1.47,0,-9,913.457,1269.221,242.451,8.618,2433.747,2187.52,1957.09,500,21.78,4666.39,44926,6003.25,9400,617.54,10017.54,1040,89.7,48.8,43.88 +2020/10/25 14:00,0,22772.836,25612.012,22623.7,22623.7,25051.38,1377.381,1253,18709.43,1624,0,0,0,1048,0,0,0,0,-1,-1.73,0,-8,1135.822,1045.653,237.71,8.495,2427.68,2187.52,1957.09,500,21.78,4666.39,44926,6567,9381.532,617.54,9999.072,1065,88.2,47.6,42.03 +2020/10/25 15:00,0,22817.694,25526.651,22725.4,22725.4,25104.559,1399.849,1226,19928,1624,0,0,0,68,0,0,0,0,-1,-1.6,0,-118,1252.023,804.717,314.788,7.631,2379.159,2187.52,1957.09,500,21.78,4666.39,44926,6567,9370.143,617.54,9987.683,1122,87.8,46,40.51 +2020/10/25 16:00,0,23399.415,25851.341,23441.4,23441.4,25620.014,1468.561,1204,21085,1624,0,0,0,0,0,0,0,0,-1,-1.6,0,-469,1272.677,642.91,255.312,7.715,2178.614,2187.52,1957.09,500,21.78,4666.39,44926,6567,9333.95,807.357,10141.307,1130,87.8,45.6,40.51 +2020/10/25 17:00,0,24211.05,26265.354,24388.53,24388.53,26205.89,1520.266,1208,21741,1623,0,0,78,0,0,0,0,0,-1,-1.47,0,-259,1243.239,288.334,278.006,7.781,1817.36,2187.52,1957.09,500,21.78,4666.39,44926,6567,9185.517,1011.892,10197.409,1230,89,45.6,40.51 +2020/10/25 18:00,0,25933.499,27556.75,25502.27,25502.27,27033.693,1669.722,1189,21872,1617,0,0,463,385,0,0,0,0,-1,-1.73,0,-21,1168.341,35.571,319.611,7.9,1531.423,2187.52,1957.09,500,21.78,4666.39,44926,6567,9139.852,1050.522,10190.374,1396,89.7,45.6,40.51 +2020/10/25 19:00,0,26348.244,27937.626,25598.4,25598.4,26939.314,1731.362,1181,21539,1622,0,0,566,711,0,0,0,0,-1,-1.6,0,-18,1004.198,0.066,328.646,8.004,1340.914,2187.52,1957.09,500,21.78,4666.39,44926,6567,8864.111,1064.361,9928.472,1336,89.4,45.6,39.68 +2020/10/25 20:00,0,24826.938,26434.503,24259.4,24259.4,25435.13,1587.244,1178,20864,1624,0,0,243,371,0,0,0,0,-1,-1.6,0,-18,844.643,0,323.184,7.903,1175.73,2187.52,1957.09,500,21.78,4666.39,44926,6567,8683.753,1090.768,9774.521,1270,88.2,45.6,38.37 +2020/10/25 21:00,0,23088.578,24628.47,22755.4,22755.4,23798.218,1566.028,1154,20137,1623,0,0,42,0,0,0,0,0,-1,-1.6,0,-198,832.714,0,202.903,7.201,1042.818,2187.52,1957.09,500,21.78,4666.39,44926,6567,8750.226,751.601,9501.827,1272,87.8,45.6,37.53 +2020/10/25 22:00,0,21742.54,22945.455,21711.27,21711.27,22659.168,1732.995,1127,20144,1623,0,0,0,0,0,0,0,0,-1,-1.73,0,-1180,897.852,0,42.736,7.31,947.898,2187.52,1957.09,500,21.78,4666.39,44926,6567,8592.123,683.768,9275.891,1274,88.2,45.6,37.59 +2020/10/25 23:00,0,20683.544,21678.429,20619.94,20619.94,21655.679,1628.565,1122,19823.54,1623,0,0,0,0,0,0,0,0,-1,-1.6,0,-1946,990.65,0,37.882,7.207,1035.739,2187.52,1957.09,500,21.78,4666.39,44926,6323.25,8861.029,683.768,9544.797,1273,89,45.6,39.44 +2020/10/26 00:00,0,19869.327,20756.781,20372.4,20372.4,21204.676,1560.409,968,19883,1623,0,0,0,0,0,0,0,0,-1,-1.6,0,-2099,786.452,0,38.618,7.206,832.276,2187.52,1957.09,500,21.78,4666.39,44926,5982,9216.956,683.768,9900.724,1274,90.6,46.8,41.74 +2020/10/26 01:00,0,19575.62,20413.734,20266.88,20266.88,20992.856,1537.876,897,19875.48,1623,0,0,0,0,0,0,0,0,-1,-1.6,0,-2126,684.169,0,34.54,7.267,725.976,2187.52,1957.09,500,21.78,4666.39,44926,5833.383,9417.886,683.768,10101.654,1274,91.8,47.6,44.05 +2020/10/26 02:00,0,19455.616,20255.999,20242.4,20242.4,20911.001,1484.04,900,19875,1624,0,0,0,0,0,0,0,0,-1,-1.6,0,-2154,661.055,0,0,7.546,668.601,2187.52,1957.09,500,21.78,4666.39,44926,5741,9706.495,810.185,10516.68,1274,93.3,49.6,46.37 +2020/10/26 03:00,0,19751.659,20535.806,20279.27,20279.27,21069.493,1529.907,904,19921,1624,0,0,0,0,0,0,0,0,-1,-1.73,0,-2167,782.647,0,0,7.576,790.223,2187.52,1957.09,500,21.78,4666.39,44926,5741,9893.699,868.768,10762.467,1270,94.5,51.2,48.74 +2020/10/26 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07:00,0,27669.084,28391.002,27657.534,27657.534,28116.395,1324.449,691,23926,893,0,0,212,1947,0,0,0,0,-2,-3.466,0,-6,378.538,66.642,0,13.681,458.861,2612.74,2211.09,500,25.58,5349.41,46329,2188.797,12484.214,1003.027,13487.241,414,96.3,55.5,48.53 +2021/06/14 08:00,0,27881.517,29154.955,28147.451,28147.451,29169.819,1371.81,688,23908,893,0,0,209,2362,0,0,0,96.65,-2,-3.199,0,-4,397.156,607.831,4.17,13.211,1022.368,2612.74,2211.09,500,25.58,5349.41,46329,2268.195,12511.121,978.691,13489.812,414,93.6,54.4,45.81 +2021/06/14 09:00,0,28062.416,29888.941,28412.683,28412.683,29955.711,1409.247,668,23718,892,0,490,0,1912,0,0,0,747.416,-2,-1.733,0,-11,312.922,1139.922,76.602,13.582,1543.028,2612.74,2211.09,500,25.58,5349.41,46329,2289,12818.408,955.964,13774.372,413,90.6,53.2,42.55 +2021/06/14 10:00,0,27810.114,29849.866,27771.137,27771.137,29637.808,1505.989,644,23936,892,0,582,0,931,0,0,0,808.87,-2,-1.733,0,-19,349.668,1342.82,160.57,13.613,1866.671,2612.74,2211.09,500,25.58,5349.41,46329,2289,12461.329,921.131,13382.46,413,88.2,51.2,39.86 +2021/06/14 11:00,0,27375.864,29529.771,27135.417,27135.417,29123.99,1490.948,642,24145,891,0,365,0,304,0,0,0,808.283,-2,-1.866,0,-16,406.109,1432.609,135.865,13.99,1988.573,2612.74,2211.09,500,25.58,5349.41,46329,2289,12410.491,860.964,13271.455,413,87.4,50,38.91 +2021/06/14 12:00,0,26897.426,29156.752,26620.203,26620.203,28659.164,1442.173,664,24108,889,0,0,0,259,0,0,0,723.669,-2,-3.466,0,-18,493.528,1410.577,120.856,14,2038.961,2612.74,2211.09,500,25.58,5349.41,46329,2289,12451.141,960.891,13412.032,412,87.4,48.8,38.37 +2021/06/14 13:00,0,26453.744,28786.914,26020.945,26020.945,28282.099,1423.643,709,23936,889,0,0,0,164,0,0,0,347.277,-2,-3.333,0,-19,650.166,1421.304,176.239,13.445,2261.154,2612.74,2211.09,500,25.58,5349.41,46329,2289,12589.532,987.841,13577.373,411,87,47.6,38.37 +2021/06/14 14:00,0,26618.849,28939.194,26334.422,26334.422,28560.399,1469.636,714,24038,889,0,0,0,699,0,0,0,11.754,-2,-3.333,0,-12,669.897,1304.017,238.279,13.784,2225.977,2612.74,2211.09,500,25.58,5349.41,46329,2289,12455.224,1010.884,13466.108,411,87,47.2,38.25 +2021/06/14 15:00,0,27478.693,29561.501,27099.476,27099.476,29104.512,1517.623,722,23927,888,0,0,0,1263,0,0,0,315.808,-2,-3.333,0,-11,682.826,1082.828,225.555,13.827,2005.036,2612.74,2211.09,500,25.58,5349.41,46329,2266.8,12741.34,1010.884,13752.224,412,86.6,46,36.86 +2021/06/14 16:00,0,28895.068,30563.219,28701.38,28701.38,30140.803,1449.437,703,24195,888,0,583,0,1476,0,0,0,868.58,-2,-1.2,0,-9,626.036,544.294,254.476,14.617,1439.423,2612.74,2211.09,500,25.58,5349.41,46329,2141,12521.256,955.37,13476.626,412,85,45.6,34.98 +2021/06/14 17:00,0,31107.225,32267.121,30132.233,30251.233,31364.694,1510.351,684,24312,889,0,1691,93,1504,0,0,119,978.233,-2,0,0,-17,725.509,41.281,331.577,15.094,1113.461,2612.74,2211.09,500,25.58,5349.41,46329,2136.067,12336.857,938.476,13275.333,412,83.4,44,32.69 +2021/06/14 18:00,0,32384.178,33382.9,30780.551,30899.551,32257.236,1591.477,687,24274.23,888,0,1781,406,1772,0,0,119,985.321,-2,0,0,-11,1020.469,0,322.05,15.166,1357.685,2612.74,2211.09,500,25.58,5349.41,46329,1993,12432.142,918.254,13350.396,412,81.8,43.3,30.31 +2021/06/14 19:00,0,31489.646,32417.056,30219.622,30219.622,31493.508,1531.12,702,24247,890,0,1413,12,1986,0,0,0,984.622,-2,0,0,-13,961.844,0,297.003,15.039,1273.886,2612.74,2211.09,500,25.58,5349.41,46329,1993,12621.754,860.964,13482.718,413,79.8,41.7,27.7 +2021/06/14 20:00,0,29499.533,30353.051,28603.682,28603.682,29847.216,1493.692,689,24118.01,890,0,643,0,1312,0,0,0,974.005,-2,-1.333,0,-19,949.623,0,279.019,14.892,1243.534,2612.74,2211.09,500,25.58,5349.41,46329,1993,12642.626,860.964,13503.59,412,77.8,38.9,24.99 +2021/06/14 21:00,0,26963.812,27719.218,26171.306,26171.306,27325.531,1427.538,683,23753,889,0,374,0,128,0,0,0,679.039,-2,-1.733,0,-331,954.877,0,184.627,14.721,1154.225,2612.74,2211.09,500,25.58,5349.41,46329,1993,12991.409,954.366,13945.775,412,76.2,38.5,22.82 +2021/06/14 22:00,0,24377.509,24931.214,24110.554,24110.554,25019.441,1562.535,649,23723,887,0,282,0,0,0,0,0,495.154,-2,-1.6,0,-1922,894.323,0,0,14.564,908.887,2612.74,2211.09,500,25.58,5349.41,46329,1993,13138.443,975.334,14113.777,412,76.6,38.5,22.89 +2021/06/14 23:00,0,22739.406,23155.665,22435.905,22435.905,23185.317,1480.006,646,23419,888,0,64,0,0,0,0,0,15.571,-2,-2.666,0,-2592,734.814,0,0,14.598,749.412,2612.74,2211.09,500,25.58,5349.41,46329,1993,13258.274,975.334,14233.608,413,78.2,38.9,25.05 +2021/06/15 00:00,0,21793.667,22141.212,21494.668,21494.668,22235.213,1405.442,649,22726,888,0,0,0,0,0,0,0,0,-2,-3.333,0,-2763,725.67,0,0,14.875,740.545,2612.74,2211.09,500,25.58,5349.41,46329,1993,13272.922,975.334,14248.256,412,80.6,40.9,28.02 +2021/06/15 01:00,0,21197.952,21526.906,21125.534,21125.534,21736.992,1357.864,649,22335,889,0,0,0,0,0,0,0,0,-2,-3.466,0,-2742,596.606,0,0,14.852,611.458,2612.74,2211.09,500,25.58,5349.41,46329,1993,13277.33,975.334,14252.664,413,82.6,42.5,31.25 +2021/06/15 02:00,0,21120.18,21450.035,21060.001,21060.001,21642.952,1322.605,646,22244,889,0,0,0,0,0,0,0,0,-2,-3.999,0,-2713,568.285,0,0,14.666,582.951,2612.74,2211.09,500,25.58,5349.41,46329,1993,13065.064,975.334,14040.398,359,85,44,34.49 +2021/06/15 03:00,0,21422.588,21771.243,21456.668,21456.668,21991.423,1383.637,656,22616,890,0,0,0,0,0,0,0,0,-2,-3.333,0,-2700,519.909,0,0,14.846,534.755,2612.74,2211.09,500,25.58,5349.41,46329,1993,12968.974,975.334,13944.308,335,87.4,46,37.65 +2021/06/15 04:00,0,22833.295,23192.263,22910.534,22910.534,23414.517,1466.907,650,23519,891,0,0,0,0,0,0,0,0,-2,-3.466,0,-2144,489.311,0,0,14.672,503.983,2612.74,2211.09,500,25.58,5349.41,46329,1993,12951.217,975.334,13926.551,332,89.7,47.6,40.86 +2021/06/15 05:00,0,26046.809,26429.815,25649.668,25649.668,26130.327,1474.949,661,24124,889,0,0,0,301,0,0,0,0,-2,-3.333,0,-320,465.698,0,0,14.961,480.659,2612.74,2211.09,500,25.58,5349.41,46329,1993,12424.514,975.334,13399.848,330,90.8,48.8,43.54 +2021/06/15 06:00,0,27234.287,27631.772,26986.379,26986.379,27496.62,1317.86,667,24402.41,889,0,0,0,1043,0,0,0,6.301,-2,-3.333,0,-16,494.415,0.066,0,15.76,510.241,2612.74,2211.09,500,25.58,5349.41,46329,2136.067,12462.212,918.105,13380.317,334,90.8,48.8,43.42 +2021/06/15 07:00,0,27920.294,28361.459,27761.495,27761.495,28305.607,1322.348,689,24305,889,0,0,211,1128,0,0,0,565.961,-2,-3.466,0,-21,472.729,54.157,0,17.226,544.112,2612.74,2211.09,500,25.58,5349.41,46329,2141,12373.92,888.964,13262.884,332,90,47.6,41.62 +2021/06/15 08:00,0,28114.259,29090.836,28311.193,28311.193,29210.143,1334.56,665,24374,889,0,0,211,1538,0,0,0,654.525,-2,-3.333,0,-15,540.466,341.526,0,16.958,898.95,2612.74,2211.09,500,25.58,5349.41,46329,2141,12213.725,929.024,13142.749,349,89,46.8,40.21 +2021/06/15 09:00,0,28332.239,29838.772,28500.632,28500.632,30058.347,1423.378,649,24234,889,0,0,0,1933,0,0,0,811.964,-2,-3.333,0,-11,792.32,741.951,6.823,16.621,1557.715,2612.74,2211.09,500,25.58,5349.41,46329,2141,12183.457,1043.894,13227.351,341,86.6,46,38.01 +2021/06/15 10:00,0,28230.656,30074.736,27940.369,27940.369,29740.347,1534.867,625,24194,889,0,0,0,1287,0,0,0,965.835,-2,-3.466,0,-15,815.634,961.58,5.487,17.277,1799.978,2612.74,2211.09,500,25.58,5349.41,46329,2141,12006.809,1043.894,13050.703,278,84.2,44,35.22 +2021/06/15 11:00,0,27648.688,29626.629,26947.35,26947.35,29069.343,1436.841,630,24207,888,0,0,0,507,0,0,0,737.682,-2,-3.333,0,-17,986.029,1091.185,28.189,16.59,2121.993,2612.74,2211.09,500,25.58,5349.41,46329,2141,11988.457,1043.894,13032.351,183,83,42.5,33.31 +2021/06/15 12:00,0,26998.531,29017.268,26358.494,26358.494,28628.727,1391.628,638,24106,889,0,0,0,593,0,0,0,159.826,-2,-3.333,0,-22,1147.763,1086.438,18.972,17.06,2270.233,2612.74,2211.09,500,25.58,5349.41,46329,2141,11986.569,1043.894,13030.463,147.353,83,42,32.5 +2021/06/15 13:00,0,26365.721,28334.928,26153.601,26153.601,28264.966,1251.216,644,23925,890,0,0,0,719,0,0,0,0,-2,-2.399,0,-20,1014.52,1023.865,54.519,18.461,2111.365,2612.74,2211.09,500,25.58,5349.41,46329,2141,12128.234,1043.894,13172.128,175.677,82.2,41.7,31.63 +2021/06/15 14:00,0,26405.723,28276.482,26379,26379,28319.192,1265.842,641,23754,890,0,0,0,1107,0,0,0,0,-2,0,0,-11,934.457,928.093,60.031,17.611,1940.192,2612.74,2211.09,500,25.58,5349.41,46329,2121.267,12517.559,1043.894,13561.453,176,81,40.3,30.88 +2021/06/15 15:00,0,26913.513,28633.214,27164.271,27164.271,29018.514,1304.136,634,23885,890,0,245,0,1300,0,0,0,219.271,-2,0,0,-7,1095.553,727.571,11.792,19.327,1854.243,2612.74,2211.09,500,25.58,5349.41,46329,1993,12498.275,1043.894,13542.169,203,79.4,38.9,29.43 +2021/06/15 16:00,0,28081.549,29494.154,28072.158,28072.158,29908.679,1361.37,647,24020,890,0,808,0,1414,0,0,0,310.158,-2,0,0,-15,1397.384,371.999,46.455,20.683,1836.521,2612.74,2211.09,500,25.58,5349.41,46329,2173.5,12340.836,1026.894,13367.73,262,77.8,36.9,28.15 +2021/06/15 17:00,0,30421.504,31404.426,29468.174,29578.957,30959.327,1501.114,665,24021.63,890,0,1601,123,1862,0,0,110.783,316.544,-2,0,0,-9,1261.992,30.459,67.345,20.574,1380.37,2612.74,2211.09,500,25.58,5349.41,46329,2183,12357.376,901.186,13258.562,265,75.8,35.7,26.42 +2021/06/15 18:00,0,31311.907,32212.859,30421.09,30606.923,31791.152,1588.063,691,23722,889,0,1963,388,2449,0,0,185.833,321.09,-2,0,0,0,1149.065,0,14.595,20.569,1184.229,2612.74,2211.09,500,25.58,5349.41,46329,2183,12535.659,860.964,13396.623,267,73.8,34.1,24.14 +2021/06/15 19:00,0,30497.779,31349.956,29962.71,30007.093,31080.907,1531.386,700,23605,889,0,2019,0,2433,0,0,44.383,321.71,-2,0,0,-3,1052.753,0,0.53,20.531,1073.814,2612.74,2211.09,500,25.58,5349.41,46329,2183,12397.557,899.297,13296.854,272,70.6,32.1,20.35 +2021/06/15 20:00,0,28872.586,29664.029,28412.702,28412.702,29409.782,1420.594,683,23052,889,0,2022,0,1462,0,0,0,321.702,-2,0,0,-15,976.546,0,0,20.534,997.08,2612.74,2211.09,500,25.58,5349.41,46329,2183,13183.803,1016.572,14200.375,337,67.8,30.6,17.02 +2021/06/15 21:00,0,26582.812,27375.356,26505.038,26505.038,27331.055,1342.816,677,23054,890,0,1928,0,111,0,0,0,324.038,-2,0,0,-477,805.433,0,0,20.584,826.017,2612.74,2211.09,500,25.58,5349.41,46329,2183,13465.195,1059.657,14524.852,344,65.1,29.7,15.5 +2021/06/15 22:00,0,24123.074,24853.135,24487.184,24487.184,25176.431,1542.482,649,22514,889,0,2008,0,0,0,0,0,322.184,-2,0,0,-1893,668.587,0,0,20.66,689.247,2612.74,2211.09,500,25.58,5349.41,46329,2183,13641.422,1046.324,14687.746,177,65.1,30.6,16.13 +2021/06/15 23:00,0,22657.698,23207.785,22815.956,22815.956,23518.572,1494.717,654,21959,889,0,1916,0,0,0,0,0,174.956,-2,0,0,-2775,681.941,0,0,20.675,702.616,2612.74,2211.09,500,25.58,5349.41,46329,2183,13926.282,1046.324,14972.606,0,66.5,31,18.53 +2021/06/16 00:00,0,21576.23,22129.445,21787.4,21787.4,22360.759,1412.254,658,21602,888,0,1392,0,0,0,0,0,0,-2,-1.6,0,-2749,552.693,0,0,20.666,573.359,2612.74,2211.09,500,25.58,5349.41,46329,2183,13888.159,1131.824,15019.983,0,68.6,32.9,21.69 +2021/06/16 01:00,0,21070.562,21615.553,21145.267,21145.267,21777.25,1389.247,656,21509,888,0,848,0,0,0,0,0,0,-2,-1.733,0,-2752,611.343,0,0,20.64,631.983,2612.74,2211.09,500,25.58,5349.41,46329,2183,13621.931,1136.324,14758.255,0,70.2,34.9,25.12 +2021/06/16 02:00,0,20868.823,21393.117,20744.467,20744.467,21502.978,1341.325,656,21565,889,0,343,0,0,0,0,0,0,-2,-2.533,0,-2704,737.901,0,0,20.61,758.511,2612.74,2211.09,500,25.58,5349.41,46329,2183,13638.194,1136.324,14774.518,0,72.2,36.1,28.34 +2021/06/16 03:00,0,20962.664,21478.418,20771.668,20771.668,21522.335,1356.444,656,21683,889,0,277,0,0,0,0,0,0,-2,-3.333,0,-2728,730.068,0,0,20.599,750.667,2612.74,2211.09,500,25.58,5349.41,46329,2183,13638.194,1136.324,14774.518,0,74.2,38.1,31.57 +2021/06/16 04:00,0,21569.696,22081.415,21298.801,21298.801,22132.432,1466.412,654,21607,889,0,272,0,0,0,0,0,0,-2,-3.199,0,-2118,813.036,0,0,20.595,833.631,2612.74,2211.09,500,25.58,5349.41,46329,2183,13766.034,1135.491,14901.525,0,76.2,39.7,34.61 +2021/06/16 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10:00,0,25268.072,28020.152,22530,25423.366,28068.472,1545.674,1412,18690,1836,0,0,114,500,0,2893.366,0,0,-2,0,0,-20,194.66,1933.163,500.271,17.012,2645.106,2785.44,2212.09,500,25.58,5523.11,47043,7013,9905.165,1273.14,11178.305,0,101.7,55.5,53.89 +2021/11/11 11:00,0,25262.412,28015.865,22648,25390.221,28064.175,1581.989,1418,18638,1836,0,0,0,775,0,2742.221,0,0,-2,0,0,-17,171.042,1986.648,499.995,16.269,2673.954,2785.44,2212.09,500,25.58,5523.11,47043,7013,9911.781,1258.78,11170.561,0,101.7,55.2,52.83 +2021/11/11 12:00,0,25050.437,27932.586,23230,25236.446,27980.885,1630.44,1420,18882,1835,0,0,0,1109,0,1970.446,36,0,-2,0,0,-14,252.447,1975.828,499.612,16.552,2744.439,2785.44,2212.09,500,25.58,5523.11,47043,7013,9872.151,1589.247,11461.398,0,101.7,53.6,51.42 +2021/11/11 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16:00,0,25822.598,28908.463,24114,25763.309,28956.723,1730.691,1513,19972,1834,0,0,0,819,0,1649.309,0,0,-2,0,0,-22,1325.207,1354.31,497.485,16.412,3193.414,2785.44,2212.09,500,25.58,5523.11,47043,6956.267,10441.64,2048.346,12489.986,0,101.7,48.8,42.44 +2021/11/11 17:00,0,26693.982,29516.601,24360,26617.448,29564.851,1605.998,1501,20166,1834,0,0,84,793,0,2257.448,0,0,-2,0,0,-16,1677.665,776.278,476.993,16.467,2947.403,2785.44,2212.09,500,25.58,5523.11,47043,6865,10394.418,2019.666,12414.084,0,98.1,48,40.45 +2021/11/11 18:00,0,27982.769,30327.048,25312,28043.883,30375.287,1694.403,1512,20308,1835,0,0,223,1449,0,2518.883,213,0,-2,0,0,-13,1739.826,152.989,422.44,16.149,2331.404,2785.44,2212.09,500,25.58,5523.11,47043,6865,10464.759,1972.389,12437.148,0,96.6,48,39.44 +2021/11/11 19:00,0,28262.025,30330.301,26100,28384.848,30378.531,1769.287,1502,20425,1836,0,0,422,1920,0,2071.848,213,0,-2,0,0,-3,1587.901,0.141,389.379,16.262,1993.683,2785.44,2212.09,500,25.58,5523.11,47043,6865,10410.675,1951.968,12362.643,0,95.1,47.2,37.23 +2021/11/11 20:00,0,26489.452,28421.933,24716,26639.429,28470.152,1618.277,1486,19575,1836,0,0,180,1647,0,1923.429,0,0,-2,0,0,-6,1404.438,0,410.091,16.194,1830.723,2785.44,2212.09,500,25.58,5523.11,47043,6865,10431.021,1927.207,12358.228,0,93.6,46,34.18 +2021/11/11 21:00,0,24207.345,25971.94,22632,24290.916,26020.149,1549.808,1460,18853,1836,0,0,0,515,0,1658.916,0,0,-2,0,0,-30,1311.074,0,402.279,15.88,1729.233,2785.44,2212.09,500,25.58,5523.11,47043,6756.2,10443.104,1955.074,12398.178,0,92.4,44.8,31.07 +2021/11/11 22:00,0,22994.277,24294.11,21457.61,22998.418,24342.31,1512.559,1442,19106.61,1835,0,0,0,0,0,1540.808,0,0,-2,0,0,-924,1200.654,0,127.026,16.212,1343.892,2785.44,2212.09,500,25.58,5523.11,47043,6729,10417.76,1946.357,12364.117,0,91.8,44,30.63 +2021/11/11 23:00,0,21996.438,23071.522,20672,22076.852,23119.711,1410.51,1477,19524,1835,0,0,0,0,0,1404.852,0,0,-2,0,0,-2162,968.338,0,58.399,16.122,1042.859,2785.44,2212.09,500,25.58,5523.11,47043,6553.85,10600.321,1909.957,12510.278,0,92.1,45.6,31.76 +2021/11/12 00:00,0,21338.207,22191.445,20378,21400.823,22239.625,1433.286,1435,19202,1836,0,0,0,0,0,1022.823,0,0,-2,0,0,-2093,778.356,0,45.029,15.417,838.802,2785.44,2212.09,500,25.58,5523.11,47043,6606,10651.202,1901.207,12552.409,0,93,47.2,35.16 +2021/11/12 01:00,0,21126.877,21842.086,20358,21308.629,21890.255,1433.313,1413,19339,1837,0,0,0,0,0,950.629,0,0,-2,0,0,-2229,524.744,0,41.453,15.429,581.626,2785.44,2212.09,500,25.58,5523.11,47043,7110,10404.785,1901.207,12305.992,0,93.9,48,38.19 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05:00,0,25510.532,26004.369,25614.811,25614.811,26052.112,1675.267,1483,19909,1840,0,319,0,1665,0,0,0,407.811,-2,0,0,-7,293.217,22.637,106.062,15.385,437.301,2785.44,2212.09,500,25.58,5523.11,47043,6976,11097.014,1674.791,12771.805,0,97.2,54.4,48.96 +2021/11/12 06:00,0,26194.949,27205.935,26196.973,26196.973,27220.509,1661.595,1537,19999,1839,0,873,120,1214,0,0,0,629.973,-2,0,0,-13,246.568,503.657,257.539,15.772,1023.536,2785.44,2212.09,500,25.58,5523.11,47043,6976,11123.242,1509.491,12632.733,0,96.3,52,46.09 +2021/11/12 07:00,0,25248.854,26986.409,25235.731,25235.731,27238.464,1539.001,1533,19938,1840,0,525,333,694,0,0,0,389.731,-2,0,0,-15,337.434,1266.961,382.277,16.061,2002.733,2785.44,2212.09,500,25.58,5523.11,47043,6976,11175.468,1509.491,12684.959,0,95.1,50.8,44.05 +2021/11/12 08:00,0,25410.133,27681.946,25649.977,25649.977,28127.572,1570.695,1469,19763,1840,0,761,333,1189,0,0,0,308.977,-2,0,0,-12,393.881,1585.812,481.904,15.998,2477.595,2785.44,2212.09,500,25.58,5523.11,47043,6815.583,11264.898,1529.741,12794.639,0,94.3,50,43.36 +2021/11/12 09:00,0,25295.302,27893.742,25457.992,25457.992,28167.521,1542.655,1461,19455.1,1839,0,1055,121,1239,0,0,0,304.892,-2,0,0,-15,480.97,1812.85,400.32,15.389,2709.529,2785.44,2212.09,500,25.58,5523.11,47043,6801,11531.866,1565.275,13097.141,0,93.6,48,41.68 +2021/11/12 10:00,0,25261.529,27940.584,25490.13,25490.13,28297.443,1705.729,1499,19485,1838,0,1176,121,1089,0,0,0,299.13,-2,0,0,-15,410.347,1952.842,428.381,15.743,2807.313,2785.44,2212.09,500,25.58,5523.11,47043,6798.083,11622.392,1648.606,13270.998,0,92.7,47.2,39.44 +2021/11/12 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14:00,0,23751.868,26200.748,24128.935,24128.935,26423.623,1265.945,1446,21479,912,0,0,333,0,0,0,0,0,-1,-5.065,0,-35,550.288,1485.605,220.376,38.419,2294.688,3163.37,2212.09,500,50.58,5926.04,47517,2798,14282.654,672.706,14955.36,0,90,48.8,43.65 +2022/06/05 15:00,0,24115.399,26453.506,24713.068,24713.068,26821.128,1263.277,1467,22042,912,0,0,333,0,0,0,0,0,-1,-4.932,0,-35,565.357,1267.838,236.2,38.665,2108.06,3163.37,2212.09,500,50.58,5926.04,47517,2798,14370.257,674.402,15044.659,0,90,48.8,43.71 +2022/06/05 16:00,0,25427.402,27383.077,26313.475,26313.475,28006.239,1301.449,1469,23477.14,913,0,0,333,159,0,0,0,0,-1,-4.666,0,-32,695.088,677.324,280.562,39.79,1692.764,3163.37,2212.09,500,50.58,5926.04,47517,2798,14297.543,699.647,14997.19,0,90,48.8,43.71 +2022/06/05 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20:00,0,26376.275,27601.527,26434.057,26434.057,27909.891,1384.529,1409,23681,912,0,0,511,121,0,0,0,20.989,-1,-4.932,0,-215,1209.253,0,227.398,39.183,1475.834,3163.37,2212.09,500,50.58,5926.04,47517,2805.183,13972.245,654.649,14626.894,0,88.2,48,37.41 +2022/06/05 21:00,0,24066.921,25120.737,24570.801,24570.801,25735.417,1334.223,1418,22850,912,0,0,252,0,0,0,0,0,-1,-5.199,0,-855,1014.305,0,113.472,36.839,1164.616,3163.37,2212.09,500,50.58,5926.04,47517,2798,13847.48,638.154,14485.634,0,88.2,48,37.17 +2022/06/05 22:00,0,22165.41,23113.623,22523.801,22523.801,23445.273,1286.491,1365,21319,912,0,0,144,0,0,0,0,0,-1,-5.199,0,-1210,890.077,0,0.079,31.316,921.472,3163.37,2212.09,500,50.58,5926.04,47517,2798,13824.815,638.154,14462.969,0,89.4,48.8,37.53 +2022/06/05 23:00,0,20661.857,21546.928,21020.068,21020.068,21933.389,1225.528,1377,20553,912,0,0,0,0,0,0,0,0,-1,-4.932,0,-1816,879.447,0,0,33.874,913.321,3163.37,2212.09,500,50.58,5926.04,47517,2242.167,14338.931,638.154,14977.085,0,90.3,50.8,38.49 +2022/06/06 00:00,0,20422.864,21294.655,20099.535,20099.535,21107.792,1257.845,1097,20269,912,0,0,0,0,0,0,0,0,-1,-5.465,0,-2172,972.078,0,0,36.179,1008.257,3163.37,2212.09,500,50.58,5926.04,47517,2105,14076.196,579.221,14655.417,0,91.8,52.8,40.39 +2022/06/06 01:00,0,20078.174,21000.941,20077.935,20077.935,20721.476,1289.121,1045,20278,912,0,0,0,0,0,0,0,0,-1,-5.065,0,-2151,606.768,0,0,36.773,643.541,3163.37,2212.09,500,50.58,5926.04,47517,2105,14076.913,570.154,14647.067,0,93.3,54.4,42.79 +2022/06/06 02:00,0,19936.887,20941.291,20128.801,20128.801,20593.991,1280.063,1030,20362,912,0,0,0,0,0,0,0,0,-1,-5.199,0,-2169,428.192,0,0,36.998,465.19,3163.37,2212.09,500,50.58,5926.04,47517,2105,14068.651,570.154,14638.805,0,94.5,55.9,45.25 +2022/06/06 03:00,0,20278.341,21348.86,20527.935,20527.935,20988.383,1264.156,1048,20509,912,0,0,0,0,0,0,0,0,-1,-5.065,0,-1935,423.402,0,0,37.046,460.448,3163.37,2212.09,500,50.58,5926.04,47517,2105,13637.65,570.154,14207.804,0,96.6,58.5,47.65 +2022/06/06 04:00,0,22017.521,23128.135,21582.945,21582.945,22744.675,1228.125,1221,20822.01,911,0,0,118,0,0,0,0,0,-1,-5.065,0,-1483,1126.769,0,0,34.961,1161.73,3163.37,2212.09,500,50.58,5926.04,47517,2105,13432.294,570.154,14002.448,0,98.1,58.7,49.93 +2022/06/06 05:00,0,25580.829,26763.147,24317.801,24317.801,25973.284,1350.895,1302,21899,911,0,0,245,179,0,0,0,0,-1,-5.199,0,-212,1625.434,0,0,30.049,1655.483,3163.37,2212.09,500,50.58,5926.04,47517,2105,13434.361,570.154,14004.515,0,49.05,58.7,52.26 +2022/06/06 06:00,0,27784.752,29027.717,26669.165,26669.165,28341.766,1398.306,1316,23487.23,912,0,0,476,511,0,0,0,0,-1,-5.065,0,-27,1638.271,0.061,0,34.269,1672.601,3163.37,2212.09,500,50.58,5926.04,47517,2105,13653.458,570.154,14223.612,0,73.575,58.5,52.57 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10:00,0,26683.888,29567.874,25960.935,25960.935,28939.475,1344.201,1418,22401,912,0,0,301,951,0,0,0,0,-1,-5.065,0,-16,1334.99,1423.453,179.77,40.327,2978.54,3163.37,2212.09,500,50.58,5926.04,47517,2105,14969.399,496.769,15466.168,0,94.5,55.2,49.07 +2022/06/06 11:00,0,26109.107,28979.636,25361.468,25361.468,28265.894,1343.922,1436,22046,912,0,0,211,776,0,0,0,0,-1,-4.532,0,-14,1196.489,1481.508,185.767,40.662,2904.426,3163.37,2212.09,500,50.58,5926.04,47517,2105,15235.955,488.699,15724.654,0,93.9,53.6,47.7 +2022/06/06 12:00,0,25587.035,28388.525,24674.088,24674.088,27605.725,1376.247,1419,21714,912,0,0,211,446,0,0,0,0,-1,-4.912,0,-22,1175.83,1517.097,197.111,41.599,2931.637,3163.37,2212.09,500,50.58,5926.04,47517,2105,14963.489,472.199,15435.688,0,93.3,52.8,46.43 +2022/06/06 13:00,0,25429.775,28084.624,24600.378,24600.378,27445.401,1433.741,1448,21629.31,912,0,0,211,428,0,0,0,0,-1,-4.932,0,-22,1128.688,1484.446,189.772,42.117,2845.023,3163.37,2212.09,500,50.58,5926.04,47517,2068.333,14881.775,428.365,15310.14,0,93.3,52,45.75 +2022/06/06 14:00,0,25828.863,28271.218,25059.935,25059.935,27561.562,1434.455,1413,21633,912,0,0,211,914,0,0,0,0,-1,-5.065,0,-17,838.352,1425.107,196.556,41.612,2501.627,3163.37,2212.09,500,50.58,5926.04,47517,2005,14859.862,428.535,15288.397,0,93.3,51.2,45.02 +2022/06/06 15:00,0,26840.024,28984.859,26448.675,26448.675,28387.625,1442.155,1351,23033.34,911,0,0,211,968,0,0,0,0,-1,-4.666,0,-20,513.469,1193.148,192.397,39.936,1938.95,3163.37,2212.09,500,50.58,5926.04,47517,2005,14699.086,433.939,15133.025,0,92.7,50,43.65 +2022/06/06 16:00,0,28403.698,30011.924,28356.444,28356.444,29579.362,1439.212,1356,24090,912,0,34,211,1286,0,0,0,484.176,-1,-3.732,0,-12,355.353,599.1,227.606,40.859,1222.918,3163.37,2212.09,500,50.58,5926.04,47517,2005,14589.957,624.217,15214.174,0,91.5,49.6,42.09 +2022/06/06 17:00,0,31009.858,32044.188,29840.572,30185.522,30876.457,1378.744,1269,24443,912,0,141,425,1748,230.95,0,114,913.904,-1,-3.333,0,-7,330.857,51.467,267.351,41.26,690.935,3163.37,2212.09,500,50.58,5926.04,47517,2005,14339.417,706.436,15045.853,0,90,48,40.57 +2022/06/06 18:00,0,32027.853,32950.69,30634.672,31411.722,32027.648,1174.137,1260,24218,912,0,715,603,1997,663.05,0,114,934.004,-1,-3.333,0,0,363.854,0.008,210.547,41.517,615.926,3163.37,2212.09,500,50.58,5926.04,47517,2005,14398.432,690.843,15089.275,0,87.8,46.8,38.49 +2022/06/06 19:00,0,31060.978,31998.28,30960.888,30960.888,31589.302,1547.503,1364,24277.44,912,0,980,478,2015,0,0,0,938.78,-1,-3.333,0,0,394.489,0,191.283,42.642,628.414,3163.37,2212.09,500,50.58,5926.04,47517,2005,14416.508,744.399,15160.907,0,85.4,44,35.95 +2022/06/06 20:00,0,29078.42,30032.621,28964.491,28964.491,29731.263,1467.993,1335,24228,912,0,739,298,523,0,0,0,946.823,-1,-3.333,0,-13,555.777,0,168.828,42.167,766.772,3163.37,2212.09,500,50.58,5926.04,47517,2005,14466.575,728.806,15195.381,0,83,42.5,33.19 +2022/06/06 21:00,0,26340.169,27219.093,26343.071,26343.071,27166.754,1403.677,1479,24157,912,0,28,0,0,0,0,0,396.87,-1,-4.799,0,-624,725.17,0,58.32,40.193,823.683,3163.37,2212.09,500,50.58,5926.04,47517,2005,14457.401,719.929,15177.33,0,82.6,41.7,32.19 +2022/06/06 22:00,0,23843.026,24642.691,23743.068,23743.068,24552.095,1368.04,1379,23387,912,0,0,0,0,0,0,0,0,-1,-4.932,0,-1929,770.438,0,0,38.589,809.027,3163.37,2212.09,500,50.58,5926.04,47517,2005,14497.415,716.241,15213.656,0,83.4,42.5,32.57 +2022/06/06 23:00,0,22071.364,22883.813,21978.478,21978.478,22818.308,1339.353,1425,21799.41,912,0,0,0,0,0,0,0,0,-1,-4.932,0,-2152,802.484,0,0,37.346,839.83,3163.37,2212.09,500,50.58,5926.04,47517,2005,14477.03,700.914,15177.944,0,85.4,44,34.36 +2022/06/07 00:00,0,21405.578,22279.212,20936.935,20936.935,21809.174,1302.196,1464,20670,912,0,0,0,0,0,0,0,0,-1,-5.065,0,-2103,836.39,0,0,35.849,872.239,3163.37,2212.09,500,50.58,5926.04,47517,2005,14401.638,678.245,15079.883,0,87.4,46,36.8 +2022/06/07 01:00,0,20990.491,21851.305,20495.935,20495.935,21403.049,1283.762,1319,20418,912,0,0,0,0,0,0,0,0,-1,-5.065,0,-2147,871.799,0,0,35.315,907.114,3163.37,2212.09,500,50.58,5926.04,47517,2005,14364.542,678.245,15042.787,0,89,47.2,39.26 +2022/06/07 02:00,0,20927.141,21800.684,20319.068,20319.068,21251.86,1298.558,1055,20520,912,0,0,0,0,0,0,0,0,-1,-4.932,0,-2162,899.879,0,0,32.913,932.792,3163.37,2212.09,500,50.58,5926.04,47517,2005,14364.088,678.245,15042.333,0,90.6,49.6,41.56 +2022/06/07 03:00,0,21369.252,22266.45,20458.068,20458.068,21427.778,1273.643,1118,20552,912,0,0,0,0,0,0,0,0,-1,-4.932,0,-2118,940.161,0,0,29.549,969.71,3163.37,2212.09,500,50.58,5926.04,47517,2005,14364.088,678.245,15042.333,0,92.1,50.8,44.05 +2022/06/07 04:00,0,22866.94,23893.723,22341.801,22341.801,23384.838,1288.115,1036,22348,912,0,0,110,0,0,0,0,0,-1,-5.199,0,-2058,1014.84,0,0,28.197,1043.037,3163.37,2212.09,500,50.58,5926.04,47517,2005,14305.556,680.002,14985.558,0,93.9,52.8,46.26 +2022/06/07 05:00,0,26022.936,27081.206,25612.801,25612.801,26627.176,1422.143,1009,24060,912,0,0,243,81,0,0,0,0,-1,-5.199,0,-686,980.88,0,0,33.495,1014.375,3163.37,2212.09,500,50.58,5926.04,47517,2005,14287.069,704.086,14991.155,0,95.1,54.4,48.47 +2022/06/07 06:00,0,28070.22,29163.497,27873.228,27873.228,28900.974,1457.441,1299,24342.16,912,0,0,595,746,0,0,0,0,-1,-4.932,0,-15,992.273,0.195,0,35.278,1027.746,3163.37,2212.09,500,50.58,5926.04,47517,2005,14317.137,713.499,15030.636,0,96,55.2,48.42 +2022/06/07 07:00,0,27789.016,29062.172,27964.321,27964.321,29084.43,1403.489,1361,24110.52,912,0,0,603,998,0,0,0,0,-1,-5.199,0,-14,1000.073,84.336,0,35.7,1120.109,3163.37,2212.09,500,50.58,5926.04,47517,2005,14262.319,717.91,14980.229,0,95.4,54.4,47.26 +2022/06/07 08:00,0,27277.89,29141.686,27461.201,27461.201,29144.472,1401.527,1346,23601,912,0,0,539,1082,0,0,0,0,-1,-4.799,0,-13,972.391,677.005,0.116,33.759,1683.271,3163.37,2212.09,500,50.58,5926.04,47517,2005,14548.307,717.91,15266.217,0,94.3,53.6,45.8 +2022/06/07 09:00,0,27052.577,29572.717,26829.975,26829.975,29055.515,1392.197,1312,23077,912,0,0,513,1036,0,0,0,0.174,-1,-5.199,0,-14,878.661,1264.777,45.151,36.951,2225.54,3163.37,2212.09,500,50.58,5926.04,47517,2005,14707.705,717.91,15425.615,0,93,52.8,44.34 +2022/06/07 10:00,0,26296.181,29050.638,25924.068,25924.068,28356.192,1439.094,1344,22697,911,0,0,512,485,0,0,0,0,-1,-4.932,0,-19,778.203,1446.397,165.943,41.581,2432.124,3163.37,2212.09,500,50.58,5926.04,47517,2005,14777.106,715.959,15493.065,0,92.1,52,42.84 +2022/06/07 11:00,0,25757.602,28509.773,25191.068,25191.068,27758.647,1428.524,1311,22480,911,0,0,392,125,0,0,0,0,-1,-4.932,0,-22,816.627,1509.209,201.427,40.316,2567.579,3163.37,2212.09,500,50.58,5926.04,47517,2005,14790.087,706.203,15496.29,0,91.8,50.8,42.38 +2022/06/07 12:00,0,25340.255,28088.447,24806.068,24806.068,27398.573,1454.011,1369,22225,912,0,0,333,0,0,0,0,0,-1,-4.932,0,-27,827.632,1524.544,200.39,39.939,2592.505,3163.37,2212.09,500,50.58,5926.04,47517,2005,15329.267,703.753,16033.02,0,91.8,50,41.97 +2022/06/07 13:00,0,25218.668,27893.516,24418.068,24418.068,26967.274,1344.391,1308,21899,912,0,0,333,0,0,0,0,0,-1,-4.932,0,-28,803.584,1503.651,202.772,39.199,2549.206,3163.37,2212.09,500,50.58,5926.04,47517,2005,15302.425,703.203,16005.628,0,91.8,50.8,42.03 +2022/06/07 14:00,0,25540.021,28027.176,24674.068,24674.068,27099.186,1340.611,1326,21996,912,0,0,333,146,0,0,0,0,-1,-4.932,0,-33,753.521,1423.667,210.561,37.369,2425.118,3163.37,2212.09,500,50.58,5926.04,47517,2005,15235.291,715.953,15951.244,0,91.8,50.8,42.09 +2022/06/07 15:00,0,26441.657,28608.565,25993.068,25993.068,28064.16,1372.441,1327,23078,911,0,0,333,381,0,0,0,0,-1,-4.932,0,-31,620.11,1198.48,213.624,38.878,2071.092,3163.37,2212.09,500,50.58,5926.04,47517,2005,15014.192,739.44,15753.632,0,91.5,50.8,42.09 +2022/06/07 16:00,0,28103.044,29700.734,28037.968,28037.968,29500.875,1460.72,1332,23834,912,0,88,333,1263,0,0,0,295.034,-1,-3.066,0,-15,520.074,627.232,275.984,39.617,1462.907,3163.37,2212.09,500,50.58,5926.04,47517,2005,14811.728,782.106,15593.834,0,90.6,48.8,41.74 +2022/06/07 17:00,0,30614.94,31612.519,29946.868,30071.868,30869.249,1573.841,1293,24100,912,0,1022,451,1593,0,0,125,587.868,-1,0,0,-11,424.598,60.666,270.505,41.612,797.381,3163.37,2212.09,500,50.58,5926.04,47517,2005,14478.773,747.705,15226.478,0,89.4,48.2,40.15 +2022/06/07 18:00,0,31775.643,32564.996,30925.1,31340.65,32075.013,1621.804,1275,24165,912,0,1453,603,1913,0,0,415.55,605.1,-1,0,0,0,460.141,0.012,233.051,41.159,734.363,3163.37,2212.09,500,50.58,5926.04,47517,2005,14616.255,583.521,15199.776,0,87,47.6,38.07 +2022/06/07 19:00,0,31043.433,31782.666,30969.844,30969.844,31632.453,1535.605,1360,24082.98,912,0,1485,603,1920,0,0,0,608.864,-1,0,0,-1,425.864,0,194.475,42.27,662.609,3163.37,2212.09,500,50.58,5926.04,47517,2005,14741.118,563.779,15304.897,0,84.2,46.8,35.59 +2022/06/07 20:00,0,28985.22,29710.321,28961.524,28961.524,29581.556,1483.73,1308,24033,912,0,1221,579,405,0,0,0,612.057,-1,-0.533,0,-107,399.089,0,178.868,42.075,620.032,3163.37,2212.09,500,50.58,5926.04,47517,2005,14670.026,474.505,15144.531,0,83,43.7,32.82 +2022/06/07 21:00,0,26426.922,27118.885,26259.525,26259.525,26835.647,1416.664,1407,23962,912,0,267,235,0,0,0,0,522.524,-1,-3.999,0,-1041,418.868,0,115.339,41.915,576.122,3163.37,2212.09,500,50.58,5926.04,47517,2005,14760.698,450.431,15211.129,0,82.6,43.7,32.13 +2022/06/07 22:00,0,23753.52,24494.107,23879.111,23879.111,24403.997,1377.708,1362,23440,912,0,0,4,0,0,0,0,3.176,-1,-5.065,0,-1836,483.213,0,0.096,41.577,524.886,3163.37,2212.09,500,50.58,5926.04,47517,2005,14739.392,447.163,15186.555,0,84.2,44,32.57 +2022/06/07 23:00,0,22019.813,22849.452,21941.201,21941.201,22566.236,1275.969,1385,21805,912,0,0,0,0,0,0,0,0,-1,-4.799,0,-2155,584.489,0,0,40.546,625.035,3163.37,2212.09,500,50.58,5926.04,47517,2005,14622.211,450.721,15072.932,0,86.2,45.6,34.55 +2022/06/08 00:00,0,20693.449,21712.822,20751.801,20751.801,21568.322,1254.677,1402,20585,912,0,0,0,0,0,0,0,0,-1,-5.199,0,-2141,777.422,0,0,39.099,816.521,3163.37,2212.09,500,50.58,5926.04,47517,2005,14574.62,450.721,15025.341,0,87.8,47.2,36.92 +2022/06/08 01:00,0,20202.227,21324.722,20262.298,20262.298,21156.827,1246.251,1309,20223.23,911,0,0,0,0,0,0,0,0,-1,-4.932,0,-2175,855.741,0,0,38.788,894.529,3163.37,2212.09,500,50.58,5926.04,47517,2005,14112.653,450.721,14563.374,0,89.7,48.8,39.32 +2022/06/08 02:00,0,20167.395,21364.507,19965.935,19965.935,20977.545,1230.175,1083,20152,911,0,0,0,0,0,0,0,0,-1,-5.065,0,-2174,972.521,0,0,39.089,1011.61,3163.37,2212.09,500,50.58,5926.04,47517,2005,14049.702,450.721,14500.423,0,91.2,50.8,41.68 +2022/06/08 03:00,0,20479.388,21704.071,20213.935,20213.935,21309.877,1208.252,1127,20343,912,0,0,0,0,0,0,0,0,-1,-5.065,0,-2162,1056.645,0,0,39.297,1095.942,3163.37,2212.09,500,50.58,5926.04,47517,2005,14027.078,450.721,14477.799,0,92.7,52.8,44.11 +2022/06/08 04:00,0,22225.943,23532.726,21900.068,21900.068,23151.474,1255.428,1410,21584,912,0,0,116,0,0,0,0,0,-1,-4.932,0,-2116,1212.401,0,0,39.005,1251.406,3163.37,2212.09,500,50.58,5926.04,47517,2005,14026.814,465.201,14492.015,0,94.2,54.4,46.54 +2022/06/08 05:00,0,25698.882,27083.744,25060.201,25060.201,26446.406,1373.903,1311,23523,912,0,0,243,0,0,0,0,0,-1,-4.799,0,-923,1347.697,0,0,38.508,1386.205,3163.37,2212.09,500,50.58,5926.04,47517,2005,14020.674,484.951,14505.625,0,96,55.9,48.74 +2022/06/08 06:00,0,27609.539,29037.698,27196.935,27196.935,28640.372,1393.968,1295,23935,912,0,0,587,491,0,0,0,0,-1,-5.065,0,-17,1403.654,0.149,0,39.634,1443.437,3163.37,2212.09,500,50.58,5926.04,47517,2145.6,13862.064,506.969,14369.033,0,96.6,55.9,49.77 +2022/06/08 07:00,0,27512.678,29122.391,27172.201,27172.201,28807.122,1360.014,1404,23756,912,0,0,603,522,0,0,0,0,-1,-4.799,0,-19,1509.29,85.015,0,40.616,1634.921,3163.37,2212.09,500,50.58,5926.04,47517,2153,13785.118,526.506,14311.624,0,96.3,55.5,49.4 +2022/06/08 08:00,0,27098.395,29352.727,27002.788,27002.788,29122.518,1411.577,1345,23527.72,912,0,0,603,641,0,0,0,0,-1,-4.932,0,-20,1379.252,697.917,1.763,40.798,2119.73,3163.37,2212.09,500,50.58,5926.04,47517,2153,13711.232,520.506,14231.738,0,95.7,55.2,48.85 +2022/06/08 09:00,0,26625.007,29523.051,26475.801,26475.801,29132.162,1343.769,1357,23008,912,0,0,600,626,0,0,0,0,-1,-5.199,0,-21,1244.342,1296.283,83.645,32.091,2656.361,3163.37,2212.09,500,50.58,5926.04,47517,2153,13615.568,517.147,14132.715,0,94.5,54.4,48.165 +2022/06/08 10:00,0,25724.603,28851.654,25727.601,25727.601,28595.442,1447.136,1336,22353.4,912,0,0,420,731,0,0,0,0,-1,-4.799,0,-19,1177.643,1473.481,196.545,20.172,2867.841,3163.37,2212.09,500,50.58,5926.04,47517,2153,14057.051,512.108,14569.159,0,94.2,53.2,47.48 +2022/06/08 11:00,0,25210.934,28366.191,24940.068,24940.068,28007.932,1503.974,1350,21804,912,0,0,333,565,0,0,0,0,-1,-4.932,0,-18,1303.185,1534.583,209.936,20.16,3067.864,3163.37,2212.09,500,50.58,5926.04,47517,2153,14059.651,512.108,14571.759,0,93.6,52,46.65 +2022/06/08 12:00,0,24667.655,27879.847,24227.935,24227.935,27553.321,1503.61,1368,21510,911,0,0,333,132,0,0,0,0,-1,-5.065,0,-20,1547.212,1547.913,208.131,22.13,3325.386,3163.37,2212.09,500,50.58,5926.04,47517,2153,13773.518,512.108,14285.626,0,93,51.2,46.09 +2022/06/08 13:00,0,24303.628,27507.75,24007.145,24007.145,27277.884,1471.304,1277,21518.81,911,0,0,333,0,0,0,0,0,-1,-4.666,0,-27,1499.559,1526.68,209.995,34.505,3270.739,3163.37,2212.09,500,50.58,5926.04,47517,2153,13593.654,511.024,14104.678,0,92.4,50.8,46.09 +2022/06/08 14:00,0,24586.97,27679.695,24404.801,24404.801,27418.987,1433.638,1374,21367,911,0,0,333,444,0,0,0,0,-1,-5.199,0,-18,1302.092,1451.253,219.251,41.59,3014.186,3163.37,2212.09,500,50.58,5926.04,47517,2153,13595.315,490.436,14085.751,0,92.4,50.8,46.09 +2022/06/08 15:00,0,25837.655,28585.823,25632.068,25632.068,28290.599,1452.489,1387,22027,911,0,0,333,987,0,0,0,0,-1,-4.932,0,-7,1170.574,1223.362,223.426,41.169,2658.531,3163.37,2212.09,500,50.58,5926.04,47517,2153,14021.856,482.25,14504.106,0,92.4,50.8,45.47 +2022/06/08 16:00,0,27465.162,29571.689,27804.066,27804.066,29741.257,1534.208,1398,23727.1,911,0,3,333,1420,0,0,0,23.498,-1,-4.532,0,-6,963.108,643.879,289.375,40.829,1937.191,3163.37,2212.09,500,50.58,5926.04,47517,2153,14289.106,508.214,14797.32,0,91.8,49.6,43.54 +2022/06/08 17:00,0,29620.867,30998.999,29695.546,29785.546,30965.557,1477.325,1331,24315,911,0,708,454,1433,0,0,90,557.012,-1,-3.466,0,-9,812.107,65.187,261.604,41.113,1180.011,3163.37,2212.09,500,50.58,5926.04,47517,2143.133,14356.892,574.307,14931.199,0,90.6,47.2,41.8 +2022/06/08 18:00,0,31183.28,32322.387,30905.862,30995.862,32041.125,1512.47,1305,24393,911,0,1076,603,2016,0,0,90,606.194,-1,-3.333,0,0,758.259,0.015,246.285,40.704,1045.263,3163.37,2212.09,500,50.58,5926.04,47517,2005,14429.275,599.122,15028.397,0,89.4,46,39.8 +2022/06/08 19:00,0,30295.018,31352.917,30667.85,30667.85,31679.346,1485.84,1375,24565,911,0,914,603,1696,0,0,0,611.182,-1,-3.333,0,-3,736.441,0,233.585,41.47,1011.496,3163.37,2212.09,500,50.58,5926.04,47517,2005,14226.277,548.752,14775.029,0,86.2,44,37.17 +2022/06/08 20:00,0,28635.89,29676.258,28781.584,28781.584,29682.429,1427.096,1403,24474,911,0,798,513,311,0,0,0,614.05,-1,-3.466,0,-238,669.501,0,190.004,41.34,900.845,3163.37,2212.09,500,50.58,5926.04,47517,2005,14346.82,542.719,14889.539,0,84.6,42,34.61 +2022/06/08 21:00,0,26105.851,27133.27,26170.03,26170.03,26987.534,1341.632,1461,24452,911,0,32,306,0,0,0,0,217.095,-1,-5.065,0,-1203,650.821,0,124.377,42.306,817.504,3163.37,2212.09,500,50.58,5926.04,47517,2005,14221.14,543.243,14764.383,0,85,42.5,33.93 +2022/06/08 22:00,0,23382.737,24415.919,23559.058,23559.058,24367.436,1309.354,1428,23221.99,911,0,0,112,0,0,0,0,0,-1,-4.932,0,-2108,766.409,0,0,41.969,808.378,3163.37,2212.09,500,50.58,5926.04,47517,2005,14131.294,543.243,14674.537,0,85.8,43.7,35.16 +2022/06/08 23:00,0,21609.471,22731.003,21713.801,21713.801,22693.962,1244.846,1400,21588,911,0,0,0,0,0,0,0,0,-1,-5.199,0,-2179,939.888,0,0,40.273,980.161,3163.37,2212.09,500,50.58,5926.04,47517,2005,14112.586,536.243,14648.829,0,87.8,46,37.53 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04:00,0,21907.392,23344.405,22154.935,22154.935,23426.311,1260.709,1310,21560,910,0,0,2,0,0,0,0,0,-1,-5.065,0,-1621,1231.38,0,0,39.996,1271.376,3163.37,2212.09,500,50.58,5926.04,47517,2628.417,13294.779,512.282,13807.061,0,95.4,53.6,49.45 +2022/06/09 05:00,0,25106.815,26488.965,25537.201,25537.201,26775.186,1417.987,1356,22963,910,0,0,243,217,0,0,0,0,-1,-4.799,0,-146,1197.873,0,0,40.112,1237.985,3163.37,2212.09,500,50.58,5926.04,47517,2656.8,13337.365,511.013,13848.378,0,96.6,55.2,51.16 +2022/06/09 06:00,0,27391.308,28705.604,27701.491,27701.491,28909.149,1359.305,1359,23682.69,911,0,0,593,1172,0,0,0,0,-1,-5.199,0,-10,1167.146,0.168,0,40.344,1207.658,3163.37,2212.09,500,50.58,5926.04,47517,2580,13371.055,518.763,13889.818,0,96.6,55.2,51.16 +2022/06/09 07:00,0,27383.832,28761.843,27963.935,27963.935,29162.299,1340.094,1499,23364,911,0,0,603,1600,0,0,0,0,-1,-5.065,0,-7,1071.508,85.421,0,41.435,1198.364,3163.37,2212.09,500,50.58,5926.04,47517,2580,13706.43,524.69,14231.12,0,95.4,53.6,49.67 +2022/06/09 08:00,0,27058.676,28905.124,27683.068,27683.068,29255.904,1347.114,1453,23565,911,0,0,603,1171,0,0,0,0,-1,-4.932,0,-14,839.077,691.372,0.844,41.543,1572.836,3163.37,2212.09,500,50.58,5926.04,47517,2580,13914.744,512.69,14427.434,0,93.6,52.8,49.93 +2022/06/09 09:00,0,26549.037,28904.697,27292.068,27292.068,29421.865,1361.215,1429,23598,911,0,0,603,776,0,0,0,0,-1,-4.932,0,-19,701.919,1283.719,102.839,41.32,2129.797,3163.37,2212.09,500,50.58,5926.04,47517,2580,13852.647,493.357,14346.004,0,92.4,51.2,45.64 +2022/06/09 10:00,0,25868.026,28441.542,26353.538,26353.538,28721.374,1348.078,1409,23015.47,911,0,0,422,625,0,0,0,0,-1,-4.932,0,-23,684.886,1455.373,189.519,38.058,2367.836,3163.37,2212.09,500,50.58,5926.04,47517,2580,13822.546,454.69,14277.236,0,92.1,49.6,44.85 +2022/06/09 11:00,0,25215.678,27844.247,25679.935,25679.935,28122.164,1369.084,1387,22301,911,0,0,333,772,0,0,0,0,-1,-5.065,0,-18,674.526,1521.269,204.534,41.9,2442.229,3163.37,2212.09,500,50.58,5926.04,47517,2580,13527.249,450.584,13977.833,0,91.5,48,43.99 +2022/06/09 12:00,0,24719.158,27359.872,25235.068,25235.068,27618.191,1366.165,1394,21454,911,0,0,333,1158,0,0,0,0,-1,-4.932,0,-9,598.468,1539.52,204.331,40.804,2383.123,3163.37,2212.09,500,50.58,5926.04,47517,2580,14057.342,437.731,14495.073,0,90.8,47.2,43.25 +2022/06/09 13:00,0,24430.814,27026.572,25194.935,25194.935,27490.12,1374.775,1400,21410,910,0,0,333,1160,0,0,0,0,-1,-5.065,0,-12,528.641,1518.429,207.787,40.328,2295.185,3163.37,2212.09,500,50.58,5926.04,47517,2580,14131.92,446.475,14578.395,0,90.3,45.6,41.56 +2022/06/09 14:00,0,24830.907,27331.415,25497.318,25497.318,27676.657,1360.098,1405,22279.36,910,0,0,333,598,0,0,0,0.023,-1,-5.065,0,-22,483.325,1439.618,217.061,39.335,2179.339,3163.37,2212.09,500,50.58,5926.04,47517,2580,14035.047,455.105,14490.152,0,89.7,43.7,39.86 +2022/06/09 15:00,0,25928.97,28186.511,26736.201,26761.701,28700.678,1411.17,1408,23568,910,0,0,333,547,0,0,25.5,0,-1,-4.799,0,-24,460.936,1219.67,219.661,38.71,1938.977,3163.37,2212.09,500,50.58,5926.04,47517,2580,14214.77,436.243,14651.013,0,89,43.3,37.95 +2022/06/09 16:00,0,27774.93,29454.228,28605.667,28695.667,30008.559,1437.024,1421,23583,910,0,931,333,1442,0,0,90,0,-1,-1.333,0,-12,378.861,641.425,253.585,39.021,1312.892,3163.37,2212.09,500,50.58,5926.04,47517,2580,14665.177,395.268,15060.445,0,88.6,43.3,36.77 +2022/06/09 17:00,0,29917.236,31004.927,30037.145,30202.145,30978.74,1483.159,1369,23871,910,0,1769,447,1292,0,0,165,396.145,-1,0,0,-16,412.698,63.399,259.018,41.48,776.595,3163.37,2212.09,500,50.58,5926.04,47517,2580,14286.943,388.728,14675.671,0,86.6,42,35.59 +2022/06/09 18:00,0,31071.19,31936.786,31176.971,31272.971,32082.885,1536.36,1338,24214.29,910,0,1808,597,1719,0,0,96,596.681,-1,0,0,-5,523.155,0.01,244.526,42.223,809.914,3163.37,2212.09,500,50.58,5926.04,47517,2580,13976.903,409.821,14386.724,0,84.6,41.7,34.36 +2022/06/09 19:00,0,30678.478,31443.758,30576.755,30576.755,31311.363,1462.357,1397,24008,910,0,1808,599,1261,0,0,0,603.755,-1,0,0,-9,463.971,0,228.331,42.306,734.608,3163.37,2212.09,500,50.58,5926.04,47517,2580,13913.496,475.222,14388.718,0,82.6,38.9,31.88 +2022/06/09 20:00,0,28689.204,29391.301,28995.097,28995.097,29566.454,1398.544,1432,23956.83,910,0,702,513,891,0,0,0,604.066,-1,-2.799,0,-10,343.399,0,185.27,42.688,571.357,3163.37,2212.09,500,50.58,5926.04,47517,2580,14066.317,559.406,14625.723,0,81.8,38.1,29.68 +2022/06/09 21:00,0,26135.54,26774.892,26695.315,26695.315,27164.175,1326.619,1473,23867,910,0,4,330,116,0,0,0,253.247,-1,-4.932,0,-252,330.842,0,95.315,42.703,468.86,3163.37,2212.09,500,50.58,5926.04,47517,2580,14084.733,490.52,14575.253,0,81.8,36.9,24.86 +2022/06/09 22:00,0,23772.034,24301.404,24469.935,24469.935,24867.836,1300.35,1389,23958,910,0,0,0,0,0,0,0,0,-1,-5.065,0,-1781,355.419,0,0.211,42.271,397.901,3163.37,2212.09,500,50.58,5926.04,47517,2580,13915.898,486.6,14402.498,0,81.8,36.9,24.66 +2022/06/09 23:00,0,22064.218,22531.999,22547.801,22547.801,22979.783,1220.765,1389,22419,910,0,0,0,0,0,0,0,0,-1,-5.199,0,-2164,391.931,0,0,40.051,431.982,3163.37,2212.09,500,50.58,5926.04,47517,2580,13823.687,475.267,14298.954,0,83.4,37.7,29.93 +2022/06/10 00:00,0,21301.556,21757.682,21521.935,21521.935,21978.143,1251.003,1383,21319,910,0,0,0,0,0,0,0,0,-1,-5.065,0,-2084,416.556,0,0,39.652,456.208,3163.37,2212.09,500,50.58,5926.04,47517,2580,13835.693,471.245,14306.938,0,85,38.9,32.5 +2022/06/10 01:00,0,21024.629,21508.852,21177.345,21177.345,21609.469,1240.639,1457,20927.41,911,0,0,0,0,0,0,0,0,-1,-5.065,0,-2112,392.149,0,0,39.975,432.124,3163.37,2212.09,500,50.58,5926.04,47517,2599.5,13855.176,480.534,14335.71,0,87,40.9,34.85 +2022/06/10 02:00,0,20930.437,21372.059,21018.801,21018.801,21387.995,1249.079,1403,20843,910,0,0,0,0,0,0,0,0,-1,-5.199,0,-2131,327.856,0,0,41.338,369.194,3163.37,2212.09,500,50.58,5926.04,47517,2710,13914.438,480.093,14394.531,0,88.6,42.5,37.29 +2022/06/10 03:00,0,21281.516,21786.066,21246.515,21246.515,21656.227,1232.251,1425,21056.58,910,0,0,0,0,0,0,0,0,-1,-5.065,0,-2139,370.512,0,0,39.2,409.712,3163.37,2212.09,500,50.58,5926.04,47517,2710,13986.852,491.378,14478.23,0,90.6,43.7,39.68 +2022/06/10 04:00,0,22987.958,23575.697,23001.935,23001.935,23522.622,1342.509,1388,22743,910,0,0,0,0,0,0,0,0,-1,-5.065,0,-2033,479.669,0,0,41.018,520.687,3163.37,2212.09,500,50.58,5926.04,47517,2710,13937.754,499.987,14437.741,0,91.8,45.6,42.09 +2022/06/10 05:00,0,26122.758,26746.342,25685.935,25685.935,26285.251,1467.625,1329,23689,910,0,0,243,87,0,0,0,0,-1,-5.065,0,-566,559.121,0,0,40.195,599.316,3163.37,2212.09,500,50.58,5926.04,47517,2710,13986.642,478.58,14465.222,0,93.3,47.6,44.17 +2022/06/10 06:00,0,28195.376,28878.843,27845.935,27845.935,28512.34,1610.685,1458,23935,911,0,0,573,988,0,0,0,0,-1,-5.065,0,-13,611.837,13.696,0,40.872,666.405,3163.37,2212.09,500,50.58,5926.04,47517,2710,14064.05,473.82,14537.87,0,93.6,47.6,44.85 +2022/06/10 07:00,0,28121.992,29039.426,28074.801,28074.801,28937.462,1513.093,1524,23891,911,0,0,602,1165,0,0,0,0,-1,-5.199,0,-12,692.247,128.271,0,42.143,862.661,3163.37,2212.09,500,50.58,5926.04,47517,2710,14082.346,483.153,14565.499,0,92.7,46.8,43.71 +2022/06/10 08:00,0,27566.609,29192.472,28326.795,28326.795,29807.365,1582.521,1523,23920.86,911,0,106,333,1548,0,0,0,0,-1,-5.065,0,-9,713.035,723.702,1.762,42.071,1480.57,3163.37,2212.09,500,50.58,5926.04,47517,2710,14132.95,493.82,14626.77,0,91.5,45.6,41.86 +2022/06/10 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15:00,,24990.612,27713.454,22731.74,25975.272,28166.806,1224.589,1413,16485,922,0,1550,602,1341,253.3,2990.232,0,438.74,-2,0,0,-18,919.458,1104.37,146.048,21.658,2191.534,3442.57,2287.09,500,50.58,6280.24,46686,5739,16652.765,1583.018,18235,783,67,31,34.91 +2023/01/11 16:00,,25145.209,27890.18,21784.7,26523.241,28506.434,1241.261,1437,16707,922,0,1570,596,180,193.7,4544.841,0,443.7,-2,0,0,-69,925.278,911.7,133.95,12.265,1983.193,3442.57,2287.09,500,50.58,6280.24,46686,5739,16440.478,1635.967,18076,445,65.6,29.4,32.94 +2023/01/11 17:00,,25400.435,27865.336,22277.206,26814.608,28478.585,1460.625,1433,16773,922,0,1586,603,547,0,4537.402,0,445.206,-2,0,0,-30,868.459,609.817,174.025,11.676,1663.977,3442.57,2287.09,500,50.58,6280.24,46686,5739,16162.937,1606.1,17769,37,65.1,29,33 +2023/01/11 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21:00,,24320.21,25930.262,21658.889,25716.391,26488.387,1428.438,1420,16711,921,0,1609,605,232,0,4057.502,0,455.889,-2,0,0,-293,675.931,0,83.574,12.491,771.996,3442.57,2287.09,500,50.58,6280.24,46686,5739,16428.102,1484.315,17912,417,62.4,25.8,29.11 +2023/01/11 22:00,,22770.248,24027.522,20361.165,23751.356,24623.998,1358.218,1400,16686,921,0,1590,607,0,0,3390.191,0,457.165,-2,0,0,-1298,808.187,0,37.645,26.81,872.642,3442.57,2287.09,500,50.58,6280.24,46686,5739,16474.47,1451.515,17925,985,61.9,26.2,28.79 +2023/01/11 23:00,,21658.855,22703.355,19196.83,22365.978,23221.315,1298.527,1319,16618,922,0,1541,605,0,0,3169.148,0,402.83,-2,0,0,-2209,780.765,0,37.568,37.004,855.337,3442.57,2287.09,500,50.58,6280.24,46686,5739,16655.704,1391.782,18047,486,62.4,28.2,30.75 +2023/01/12 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15:00,,25594.493,28303.59,22390.994,25703.933,28465.222,1357.861,1459,18191,918,0,540,602,433,0,3312.94,0,288.326,-2,-3.333,0,-35,1174.521,1308.293,242.461,36.014,2761.289,3442.57,2287.09,500,50.58,6280.24,46686,6713,14178.858,1452.643,15631,501,69.4,26.2,31.57 +2023/01/20 16:00,,25413.78,28211.299,22542.826,25618.084,28468.385,1464.679,1393,18083,918,0,485,602,805,0,3075.258,0,289.025,-2,-3.199,0,-27,1535.307,1065.735,210.776,38.483,2850.301,3442.57,2287.09,500,50.58,6280.24,46686,6713,14086.107,1473.116,15559,223,69,25.8,31 +2023/01/20 17:00,,25151.662,27830.573,22201.296,25250.534,28067.676,1391.017,1331,18160,917,0,484,599,458,0,3049.239,0,292.628,-2,-3.333,0,-35,1831.795,579.633,369.45,36.264,2817.142,3442.57,2287.09,500,50.58,6280.24,46686,6713,14037.734,1473.116,15510,85,67.8,25.4,29.93 +2023/01/20 18:00,,25310.735,27629.881,22262.977,25209.792,27936.749,1376.391,1362,18208,917,0,536,600,406,0,2849.815,97,292.176,-2,-3.199,0,-53,2082.31,226.067,383.083,35.497,2726.957,3442.57,2287.09,500,50.58,6280.24,46686,6713,14014.366,1491.536,15505,902,67,25,29.43 +2023/01/20 19:00,,26792.523,28670.495,23350.705,26637.865,28922.196,1402.719,1327,18198,917,0,539,592,1502,0,3190.16,97,292.037,-2,-3.333,0,-11,1923.565,29.303,294.381,37.082,2284.331,3442.57,2287.09,500,50.58,6280.24,46686,6713,14209.805,1539.576,15749,381,66.5,25,28.54 +2023/01/20 20:00,,26272.984,28029.927,22997.38,26315.046,28173.578,1373.84,1398,18005.74,917,0,551,243,1605,0,3317.666,0,292.972,-2,-3.333,0,-10,1541.786,2.464,274.724,39.558,1858.532,3442.57,2287.09,500,50.58,6280.24,46686,6713,14454.314,1499.618,15953,932,65.6,23,26.03 +2023/01/20 21:00,,24638.327,26278.365,22181.92,25282.923,26366.237,1314.265,1373,17792,917,0,575,243,1014,0,3101.003,0,293.119,-2,-3.199,0,-20,907.105,0,133.884,42.325,1083.314,3442.57,2287.09,500,50.58,6280.24,46686,6653.397,14635.708,1451.326,16087,34,64.2,21.8,23.61 +2023/01/20 22:00,,23458.981,24759.073,21594.831,24190.871,24934.632,1285.518,1372,17835.55,918,0,487,243,504,0,2596.041,0,293.48,-2,-3.199,0,-53,646.021,0,55.646,42.094,743.761,3442.57,2287.09,500,50.58,6280.24,46686,6758.3,14409.6,1347.116,15756,716,62.8,21,21.82 +2023/01/20 23:00,,22466.35,23426.773,20650.949,22909.041,23634.47,1255.042,1346,17998,918,0,522,243,0,0,2258.093,0,294.281,-2,-3.333,0,-665,644.329,0,41.23,39.87,725.429,3442.57,2287.09,500,50.58,6280.24,46686,6758.3,14356.319,1347.116,15703,435,63.3,20.6,20.96 +2023/01/21 00:00,,22080.031,22859.799,20288.803,22350.614,23104.519,1220.425,1349,18109,919,0,554,243,0,0,2061.811,0,294.135,-2,-3.333,0,-1174,715.892,0,0,38.013,753.905,3442.57,2287.09,500,50.58,6280.24,46686,6660.3,14373.49,1347.116,15720,606,63.7,21,21.69 +2023/01/21 01:00,,21664.605,22320.322,20051.382,21918.804,22603.61,1199.147,1333,18294.3,919,0,555,243,0,0,1867.423,0,294.414,-2,-3.333,0,-1582,653.224,0,0,31.582,684.806,3442.57,2287.09,500,50.58,6280.24,46686,6660.3,14306.923,1286.616,15593,539,64.7,21.8,22.75 +2023/01/21 02:00,,21523.359,22094.476,19760.872,21790.547,22290.369,1174.568,1382,18494,919,0,514,243,0,0,2029.675,0,294.204,-2,-3.333,0,-2080,462.493,0,0,37.329,499.822,3442.57,2287.09,500,50.58,6280.24,46686,6660.3,14129.76,1214.116,15343,876,65.6,24.2,24.33 +2023/01/21 03:00,,21477.804,21904.649,19632.82,21660.904,22086.454,1182.876,1320,18620.16,919,0,514,243,0,0,2028.084,0,293.992,-2,-3.333,0,-2272,386.958,0,0,38.592,425.55,3442.57,2287.09,500,50.58,6280.24,46686,6660.3,13941.902,1258.283,15200,185,67,25.8,27.25 +2023/01/21 04:00,,21829.571,22179.625,20233.759,22084.437,22462.529,1171.348,1298,18885,919,0,553,243,0,0,1850.678,0,295.225,-2,-3.466,0,-1954,337.999,0,0,40.093,378.092,3442.57,2287.09,500,50.58,6280.24,46686,6640.97,13856.126,1295.116,15151,242,67.8,27.8,30.37 +2023/01/21 05:00,,22339.635,22663.354,20970.248,22425.616,22862.136,1230.109,1301,19212,919,0,552,247,0,0,1455.368,0,296.447,-2,-3.199,0,-1552,395.629,0.981,0,39.91,436.52,3442.57,2287.09,500,50.58,6280.24,46686,6657,13636.414,1271.349,14907,763,69,29.4,32.88 +2023/01/21 06:00,,23151.848,23675.269,21899.777,23324.154,23953.884,1258.562,1354,19237,919,0,513,418,0,0,1424.378,0,295.109,-2,-3.333,0,-831,457.464,133.967,0,38.299,629.73,3442.57,2287.09,500,50.58,6280.24,46686,6667,13525.985,1263.055,14789,4,69.8,30.6,34.91 +2023/01/21 07:00,,24219.203,25287.317,22476.314,24419.371,25448.774,1301.263,1354,19135,918,0,514,243,152,0,1943.057,0,292.513,-2,-3.199,0,-127,408.865,573.896,8.621,38.021,1029.403,3442.57,2287.09,500,50.58,6280.24,46686,6667,13524.298,1288.596,14812,894,70.2,31.4,36.32 +2023/01/21 08:00,,25309.756,26915.129,23263.467,25499.716,27057.076,1394.81,1358,19038.83,918,0,553,243,889,0,2236.249,0,290.103,-2,-3.466,0,-21,440.551,1002.841,74.372,39.596,1557.36,3442.57,2287.09,500,50.58,6280.24,46686,6667,13461.098,1312.663,14773,761,69.8,31.4,36.44 +2023/01/21 09:00,,25408.214,27482.858,23125.338,25514.949,27597.076,1439.099,1361,18790,918,0,548,243,1004,0,2389.611,0,285.537,-2,-3.199,0,-19,544.925,1389.05,108.538,39.614,2082.127,3442.57,2287.09,500,50.58,6280.24,46686,6667,13665.405,1327.552,14992,957,68.6,31.4,34.98 +2023/01/21 10:00,,25201.245,27476.938,22565.09,25141.199,27512.347,1398.245,1346,18725,918,0,490,243,612,0,2576.109,0,261.422,-2,-3.333,0,-25,626.604,1596.728,108.793,39.023,2371.148,3442.57,2287.09,500,50.58,6280.24,46686,6667,13674.05,1392.276,15066,326,67.8,31,33.62 +2023/01/21 11:00,,24869.913,27266.367,22043.745,24795.473,27214.474,1365.692,1330,18548,918,0,518,243,512,0,2751.728,0,7.077,-2,-3.333,0,-27,568.93,1705.95,104,40.121,2419.001,3442.57,2287.09,500,50.58,6280.24,46686,6667,13766.233,1474.108,15240,341,67,29.7,33 +2023/01/21 12:00,,24769.903,27122.012,21986.801,24586.004,27127.707,1436.344,1109,18460,918,0,535,243,749,0,2599.203,0,0,-2,-3.199,0,-22,598.185,1790.16,112.1,41.258,2541.703,3442.57,2287.09,500,50.58,6280.24,46686,6667,13784.329,1549.416,15333,745,66.5,29.4,32.13 +2023/01/21 13:00,,24510.116,26858.497,21591.668,24244.779,26825.648,1432.052,1162,18340,917,0,534,243,430,0,2653.112,0,0,-2,-3.333,0,-29,712.294,1679.142,150.617,38.816,2580.869,3442.57,2287.09,500,50.58,6280.24,46686,6667,13796.799,1573.449,15370,248,66,28.2,31.07 +2023/01/21 14:00,,24172.235,26562.045,21555.018,23943.428,26625.082,1480.357,1192,18253.35,917,0,522,243,460,0,2388.411,0,0,-2,-3.333,0,-27,1040.908,1430.339,183.847,26.56,2681.654,3442.57,2287.09,500,50.58,6280.24,46686,6667,13882.504,1676.824,15559,328,65.6,28.2,30.25 +2023/01/21 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18:00,,26278.69,29298.39,22666.126,27139.148,29436.582,1416.946,1378,17512,924,0,891,604,1071,0,4183.022,290,306.126,-2,0,0,-18,1666.678,268.795,322.118,39.843,2297.434,3442.57,2287.09,500,50.58,6280.24,46686,4654,17528.691,598.2,18126,891,73,38.9,24.46 +2023/01/31 19:00,,27782.2,30394.881,22682.984,28001.765,30284.586,1515.623,1266,17566,923,0,891,602,1149,0,5028.781,290,307.984,-2,0,0,-20,1916.622,25.249,301.431,39.519,2282.821,3442.57,2287.09,500,50.58,6280.24,46686,4654,17287.487,599.766,17887,253,72.2,38.1,22.89 +2023/01/31 20:00,,27039.007,29521.475,21924.892,26959.529,29313.519,1401.416,1252,17317.5,923,0,817,601,728,0,5030.137,4.5,309.125,-2,-1.733,0,-19,2044.47,0.876,275.869,32.775,2353.99,3442.57,2287.09,500,50.58,6280.24,46686,4654,17429.384,625.834,18055,219,70.6,36.9,21.22 +2023/01/31 21:00,,24933.051,27196.188,20063.781,25141.58,27108.804,1260.414,1285,17183,923,0,471,496,15,0,5077.8,0,117.113,-2,-3.333,0,-421,1754.167,0,172.153,40.904,1967.224,3442.57,2287.09,500,50.58,6280.24,46686,4654,17604.789,631.96,18236,749,69.4,36.1,20.69 +2023/01/31 22:00,,23084.044,24898.923,19189.401,23391.229,24888.093,1215.882,1280,17101,923,0,368,333,0,0,4201.828,0,0,-2,-3.599,0,-810,1362.1,0,94.807,39.957,1496.864,3442.57,2287.09,500,50.58,6280.24,46686,4654,17675.659,631.96,18307,619,69.8,37.7,20.96 +2023/01/31 23:00,,22060.309,23532.845,18594.668,22232.983,23584.381,1198.395,1262,17038,923,0,389,333,0,0,3638.316,0,0,-2,-3.333,0,-1345,1241.117,0,70.194,40.087,1351.398,3442.57,2287.09,500,50.58,6280.24,46686,4654,17882.51,631.96,18514,47,69.8,38.5,21.69 +2023/02/01 00:00,,21719.978,22570.206,18293.801,21648.886,23064.695,1190.537,1258,16922,923,0,345,251,0,0,3355.085,0,0,-2,-3.199,0,-1400,1376.264,0,0.252,39.293,1415.809,3442.57,2287.09,500,50.58,6280.24,46686,4836.467,17816.837,627.31,18444,147,70.2,40.3,23.61 +2023/02/01 01:00,,21422.203,22208.355,17884.534,21149.126,22692.853,1196.69,1275,16721,923,0,388,243,0,0,3264.592,0,0,-2,-3.466,0,-1660,1503.761,0,0,39.966,1543.727,3442.57,2287.09,500,50.58,6280.24,46686,4892,17993.574,600.96,18594,534,71,41.7,25.7 +2023/02/01 02:00,,21320.162,22089.073,18214.791,21159.945,22690.229,1198.111,1299,16878.99,924,0,389,243,0,0,2945.154,0,0,-2,-3.199,0,-1514,1490.661,0,0,39.623,1530.284,3442.57,2287.09,500,50.58,6280.24,46686,4892,17907.28,600.96,18508,24,71.4,42.5,28.15 +2023/02/01 03:00,,21540.906,22304.112,18493.534,21547.999,22849.093,1195.665,1302,17163,924,0,385,243,0,0,3054.465,0,0,-2,-3.466,0,-1518,1261.189,0,0,39.905,1301.094,3442.57,2287.09,500,50.58,6280.24,46686,4892,17722.93,600.96,18323,89,72.2,43.7,30.44 +2023/02/01 04:00,,22758.563,23562.049,19670.581,22956.815,24111.244,1227.373,1329,17467.36,924,0,398,243,0,0,3286.234,0,35.42,-2,-3.199,0,-721,1113.857,0,0,40.572,1154.429,3442.57,2287.09,500,50.58,6280.24,46686,4709.533,17552.728,597.36,18150,88,72.6,44.8,32.82 +2023/02/01 05:00,,25482.348,26374.471,22197.379,25661.682,26838.13,1324.526,1357,17547,924,0,960,243,873,0,3464.304,0,323.378,-2,-2,0,-26,1142.651,0.157,0,33.64,1176.448,3442.57,2287.09,500,50.58,6280.24,46686,4654,17458.6,636.693,18095,293,72.6,45.6,34.12 +2023/02/01 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15:00,,25711.815,28331,20825.267,25197.915,29129.061,1358.321,1515,17738,923,0,0,558,121,0,4372.648,0,0,-2,-1.733,0,-26,2070.049,1428.739,395.766,36.592,3931.146,3442.57,2287.09,500,50.58,6280.24,46686,4381,16911.832,745.96,17657,792,69.4,38.9,34.12 +2023/02/01 16:00,,25910.29,28463.158,21236.4,25385.621,29397.176,1387.877,1512,17900,923,0,0,603,325,0,4149.221,0,0,-2,-1.6,0,-23,2315.363,1252.27,405.338,38.584,4011.555,3442.57,2287.09,500,50.58,6280.24,46686,4381,16798.23,826.71,17624,94,69,38.9,34.24 +2023/02/01 17:00,,25994.045,28376.753,21258.267,25555.298,29171.342,1380.46,1493,18053,922,0,0,599,219,0,4297.031,0,0,-2,-1.733,0,-24,2176.746,942.793,456.86,39.645,3616.044,3442.57,2287.09,500,50.58,6280.24,46686,4381,16902.643,840.743,17743,386,68.6,38.1,33.93 +2023/02/01 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21:00,,24929.709,26387.263,20050.534,24406.587,26583.988,1198.123,1398,18018,922,0,0,333,29,0,4356.053,0,0,-2,-3.466,0,-644,1810.649,0,341.1,25.652,2177.401,3442.57,2287.09,500,50.58,6280.24,46686,4061,17310.423,458.96,17769,383,65.1,33.7,28.66 +2023/02/01 22:00,,23132.433,24505.946,19589.668,23024.754,24816.251,1161.065,1338,18332,923,0,0,334,0,0,3435.087,0,0,-2,-3.333,0,-1332,1664.988,0,94.615,31.894,1791.497,3442.57,2287.09,500,50.58,6280.24,46686,4061,17270.947,458.96,17729,907,66,34.1,28.92 +2023/02/01 23:00,,22069.607,23258.612,18911.801,22007.456,23576.174,1116.561,1382,18373,923,0,0,333,0,0,3095.656,0,0,-2,-3.199,0,-2094,1460.668,0,68.105,39.945,1568.718,3442.57,2287.09,500,50.58,6280.24,46686,4061,17087.142,458.96,17546,102,67.8,35.7,30.31 +2023/02/02 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17:00,,26516.75,29078.207,22738.276,26380.168,29050.772,1274.828,1446,18804,921,0,553,601,20,0,3641.892,0,441.876,-2,-1.6,0,-45,1418.161,769.06,445.973,37.41,2670.604,3442.57,2287.09,500,50.58,6280.24,46686,4399,16774.564,522.343,17296,907,67.4,44,24.73 +2023/02/14 18:00,,27142.358,29394.957,23356.132,27421.856,29633.459,1389.814,1369,19005,921,0,676,604,445,0,3753.724,312,442.732,-2,-1.6,0,-103,1500.5,257.412,416.857,36.834,2211.603,3442.57,2287.09,500,50.58,6280.24,46686,4399,16635.887,546.51,17182,397,67.4,44,24.99 +2023/02/14 19:00,,28380.287,30355.341,23826.926,28487.533,30422.212,1444.391,1285,19071,921,0,652,604,871,0,4348.607,312,445.659,-2,-1.733,0,-19,1503.161,15.329,381.631,34.558,1934.679,3442.57,2287.09,500,50.58,6280.24,46686,4260.867,16647.721,546.51,17194,231,67,44.8,24.14 +2023/02/14 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23:00,,21822.593,23008.047,19600.068,21840.171,23067.08,1222.468,992,18296,921,0,0,604,0,0,2240.103,0,0,-2,-4.932,0,-1206,1121.163,0,68.517,37.229,1226.909,3442.57,2287.09,500,50.58,6280.24,46686,4251,17126.144,546.51,17672,654,67.4,46,24.27 +2023/02/15 00:00,,21364.344,22424.747,19362.035,21379.719,22530.105,1143.899,843,18349.1,921,0,0,605,0,0,2017.684,0,0,-2,-5.065,0,-1349,1078.409,0,36.854,35.123,1150.386,3442.57,2287.09,500,50.58,6280.24,46686,4251,17169.288,534.843,17704,132,68.6,47.2,25.64 +2023/02/15 01:00,,21102.932,22106.613,18902.935,21060.782,22125.633,1123.863,835,18220,921,0,0,603,0,0,2157.847,0,0,-2,-5.065,0,-1669,998.455,0,36.828,29.568,1064.851,3442.57,2287.09,500,50.58,6280.24,46686,4251,17291.2,526.51,17817,71,69.8,48,27.06 +2023/02/15 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12:00,,23300.624,26353.482,20420.618,23362.749,26751.397,1299.939,876,16666,923,0,902,600,53,0,2942.131,0,430.218,-2,-1.6,0,-26,1091.368,1770.085,497.011,30.184,3388.648,3442.57,2287.09,500,50.58,6280.24,46686,3566,17059.692,2615.464,19675,156,67.4,43.3,29.87 +2023/02/19 13:00,,22967.297,26182.181,19658.504,22840.213,26467.738,1273.393,1188,16607,923,0,151,603,0,0,3181.708,0,213.104,-2,-1.6,0,-23,1380.942,1750.125,467.115,29.343,3627.525,3442.57,2287.09,500,50.58,6280.24,46686,3566,16997.128,2518.381,19515,509,66.5,43.3,29.81 +2023/02/19 14:00,,22424.6,25753.576,19610.267,22425.826,26164.316,1270.264,1273,16651,923,0,0,603,219,0,2815.559,0,0,-2,-1.733,0,-55,1544.096,1721.284,443.243,29.867,3738.49,3442.57,2287.09,500,50.58,6280.24,46686,3566,17137.644,2488.93,19626,573,67.4,43.3,29.93 +2023/02/19 15:00,,22378.173,25712.464,19827.594,22451.976,26206.613,1289.815,1322,16786.26,923,0,124,601,135,0,2624.382,0,0,-2,-0.667,0,-61,1654.1,1639.948,431.298,29.291,3754.637,3442.57,2287.09,500,50.58,6280.24,46686,3566,17246.964,2448.8,19695,764,70.2,43.3,29.43 +2023/02/19 16:00,,22726.171,26059.897,20190.584,22936.289,26536.83,1290.999,1321,16437,923,0,593,603,210,0,2745.705,0,126.584,-2,0,0,-21,1760.441,1384.251,428.589,27.26,3600.541,3442.57,2287.09,500,50.58,6280.24,46686,3566,17693.274,2226.75,19920,24,67,43.3,29.24 +2023/02/19 17:00,,23241.164,26322.51,20663.485,23623.48,26735.115,1308.15,1278,15765,923,0,1372,604,171,0,2959.995,0,576.485,-2,0,0,-24,1733.466,915.161,431.998,31.01,3111.635,3442.57,2287.09,500,50.58,6280.24,46686,3566,18201.644,2555.45,20757,94,68.2,43.3,28.66 +2023/02/19 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00:00,,20060.108,21988.005,17390.249,20638.329,22498.68,1163.738,1094,15028,922,0,1188,604,0,0,3248.08,0,433.249,-2,0,0,-1877,1795.922,0,35.689,28.74,1860.351,3442.57,2287.09,500,50.58,6280.24,46686,3566,18578.251,2648.6,21226,851,67.8,44,29.3 +2023/02/20 01:00,,19727.582,21678.368,16913.589,20256.693,22107.508,1110.133,1092,15269.72,923,0,935,605,0,0,3343.104,0,9.535,-2,-0.667,0,-1918,1789.17,0,35.825,25.82,1850.815,3442.57,2287.09,500,50.58,6280.24,46686,3566,18490.666,2607.433,21098,99,68.6,45.6,31.94 +2023/02/20 02:00,,19649.377,21528.574,17104.801,20264.496,22016.058,1115.027,1096,15444,923,0,654,608,0,0,3159.696,0,0,-2,-3.199,0,-1615,1693.667,0,35.717,22.178,1751.562,3442.57,2287.09,500,50.58,6280.24,46686,3566,18409.321,2599,21008,321,69.4,47.2,34.36 +2023/02/20 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11:00,,25175.775,28188.356,22092.271,25504.782,28179.758,1435.529,1276,19363,923,0,0,513,48,0,3412.511,0,0.07,-2,-4.799,0,-24,510.685,1864.739,266.765,32.787,2674.976,3442.57,2287.09,500,50.58,6280.24,46686,4322,13975.595,792,14767,595,91.2,28.2,51.69 +2023/03/14 12:00,,25176.93,28100.144,22339.178,25597.31,28147.768,1333.119,1303,19421,923,0,0,515,202,0,3258.132,0,0.11,-2,-4.932,0,-18,417.88,1799.527,299.414,33.637,2550.458,3442.57,2287.09,500,50.58,6280.24,46686,4322,13781.072,792,14573,72,91.2,28.2,51.9 +2023/03/14 13:00,,25215.58,28025.381,22601.917,25719.966,28124.251,1366.412,1316,19116,923,0,0,514,609,0,3118.049,0,146.716,-2,-4.799,0,-16,434.803,1633.887,304.776,30.819,2404.285,3442.57,2287.09,500,50.58,6280.24,46686,4322,14137.34,792,14929,34,91.2,28.2,51.05 +2023/03/14 14:00,,25562.782,28262.657,22906.346,26161.831,28320.585,1385.317,1336,18847,923,0,0,514,1051,0,3255.485,0,256.278,-2,-4.932,0,-14,407.148,1467.672,251.259,32.675,2158.754,3442.57,2287.09,500,50.58,6280.24,46686,4322,14643.741,792,15435,741,90.6,28.2,50.04 +2023/03/14 15:00,,26155.951,28616.285,23659.583,26750.503,28772.672,1532.926,1345,19494,923,0,0,514,1375,0,3090.92,0,29.382,-2,-4.799,0,-14,652.617,1113.654,223.396,32.502,2022.169,3442.57,2287.09,500,50.58,6280.24,46686,4322,14789.727,792,15581,727,90,28.2,47.92 +2023/03/14 16:00,,26874.172,29008.088,24307.177,27192.941,29283.601,1449.03,1387,19801,923,0,42,514,1523,0,2885.764,0,134.109,-2,-4.932,0,-10,1101.023,690.278,285.13,14.229,2090.66,3442.57,2287.09,500,50.58,6280.24,46686,4322,14809.839,799.667,15609,506,88.2,28.2,45.53 +2023/03/14 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23:00,,22258.611,23242.093,20663.801,22504.532,23454.589,1470.441,1321,19772,923,0,0,243,0,0,1840.731,0,0,-2,-5.199,0,-1588,918.414,0,0,31.643,950.057,3442.57,2287.09,500,50.58,6280.24,46686,4322,14892.414,744,15636,414,79.8,28.2,33.5 +2023/03/15 00:00,,22066.303,23094.644,20193.801,22175.344,23231.775,1430.331,1321,19962,923,0,0,243,0,0,1981.542,0,0,-2,-5.199,0,-2248,1025.909,0,0,30.522,1056.431,3442.57,2287.09,500,50.58,6280.24,46686,4322,14406.191,744,15150,191,81.4,28.2,35.28 +2023/03/15 01:00,,21671.393,22636.998,19926.201,21766.078,22793.235,1375.942,1318,19781,923,0,0,243,0,0,1839.877,0,0,-2,-4.799,0,-2332,994.603,0,0,32.554,1027.157,3442.57,2287.09,500,50.58,6280.24,46686,4322,14172.902,726.583,14899,485,83.8,28.2,38.25 +2023/03/15 02:00,,21521.498,22447.732,19741.801,21581.848,22585.294,1319.656,1319,19592,923,0,0,243,0,0,1840.046,0,0,-2,-5.199,0,-2328,970.568,0,0,32.878,1003.446,3442.57,2287.09,500,50.58,6280.24,46686,4322,13832.271,725,14557,271,86.2,28.2,41.56 +2023/03/15 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07:00,,25893.687,27390.646,24701.801,26581.795,27525.063,1373.848,1342,21227,923,0,0,604,638,0,1879.994,0,0,-2,-5.199,0,-25,596.189,315.071,0.066,31.942,943.268,3442.57,2287.09,500,50.58,6280.24,46686,4322,13822.557,646.95,14469,507,89.7,28.2,46.26 +2023/03/15 08:00,,25865.097,28098.898,24728.201,26779.042,28203.246,1356.844,1331,21260,923,0,0,606,639,0,2050.841,0,0,-2,-4.799,0,-24,577.23,756.505,60.157,30.312,1424.204,3442.57,2287.09,500,50.58,6280.24,46686,4322,13784.992,645,14429,992,89,28.2,45.13 +2023/03/15 09:00,,25374.858,28195.312,23837.801,26170.356,28182.744,1362.427,1322,21235,923,0,0,599,2,0,2332.554,0,0,-2,-5.199,0,-236,685.6,1112.086,184.044,30.658,2012.388,3442.57,2287.09,500,50.58,6280.24,46686,4322,13724.235,645,14369,235,87.4,28.2,44.28 +2023/03/15 10:00,,25138.17,28147.305,23475.068,25781.347,28140.531,1346.068,1317,21242,923,0,0,513,0,0,2306.279,0,0,-2,-4.932,0,-513,770.02,1362.588,193.651,32.925,2359.184,3442.57,2287.09,500,50.58,6280.24,46686,4322,13630.121,632.833,14262,954,87.8,28.2,44.51 +2023/03/15 11:00,,25038.16,28163.678,23103.068,25421.802,28150.239,1376.119,1318,20843,926,0,0,512,0,0,2318.734,0,0,-2,-4.932,0,-489,890.871,1587.239,216.847,33.48,2728.437,3442.57,2287.09,500,50.58,6280.24,46686,4322,13571.953,600.333,14172,286,89,28.2,44.51 +2023/03/15 12:00,,24955.711,28126.006,23138.555,25361.938,28148.629,1415.146,1317,20715.62,927,0,0,424,0,0,2223.384,0,0,-2,-5.065,0,-238,815.939,1641.309,297.121,32.322,2786.691,3442.57,2287.09,500,50.58,6280.24,46686,4322,13638.493,600,14238,493,90,28.2,44.51 +2023/03/15 13:00,,24877.734,28025.568,23095.068,25279.172,28056.189,1342.079,1318,20571,927,0,0,424,39,0,2184.104,0,0,-2,-4.932,0,-177,905.609,1558.101,282.055,31.252,2777.017,3442.57,2287.09,500,50.58,6280.24,46686,4322,14045.934,600,14645,934,90.3,28.2,44.56 +2023/03/15 14:00,,25238.248,28221.658,23496.201,25659.528,28271.409,1407.78,1314,20638,926,0,0,423,218,0,2163.326,0,0,-2,-4.799,0,-16,1110.88,1242.028,227.157,31.816,2611.881,3442.57,2287.09,500,50.58,6280.24,46686,4322,14050.334,600,14650,334,90.8,28.2,44.51 +2023/03/15 15:00,,25985.942,28741.746,23967.935,26101.403,28835.348,1455.289,1351,20783,924,0,0,477,452,0,2133.468,0,0,-2,-5.065,0,-12,1468.214,1013.679,223.035,29.017,2733.945,3442.57,2287.09,500,50.58,6280.24,46686,4322,14115.629,665,14780,629,90,28.2,44.51 +2023/03/15 16:00,,26798.535,29334.301,24442.935,26596.571,29454.972,1416.053,1370,20995,923,0,0,512,664,0,2153.637,0,0,-2,-5.065,0,-14,1750.837,816.803,257.767,32.994,2858.401,3442.57,2287.09,500,50.58,6280.24,46686,4322,14064.723,679.25,14743,973,89.4,28.2,44.05 +2023/03/15 17:00,,27256.068,29652.468,24900.201,27191.64,29732.154,1389.288,1376,21362,924,0,0,577,685,0,2291.439,0,0,-2,-4.799,0,-17,1769.587,477.73,259.424,33.773,2540.514,3442.57,2287.09,500,50.58,6280.24,46686,4322,13720.483,680,14400,483,88.2,28.2,43.07 +2023/03/15 18:00,,27717.865,29839.808,25406.935,28101.235,30280.217,1416.571,1386,21361,924,0,0,604,1156,0,2472.3,222,0,-2,-5.065,0,-17,1838.44,65.22,241.011,34.311,2178.982,3442.57,2287.09,500,50.58,6280.24,46686,4322,13603.281,680,14283,281,86.6,28.2,42.26 +2023/03/15 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18:00,,27975.289,29906.925,25032.105,27984.03,30101.306,999.487,1438,19379,917,0,1031,606,1657,402.3,2206.625,343,16.505,-2,-0.4,0,-10,1695.297,35.896,375.661,10.422,2117.276,3442.57,2287.09,500,50.58,6280.24,46686,5772,15091.168,442.935,15534,103,81.4,29.4,46.2 +2023/03/27 19:00,,27876.447,29713.019,24665.729,27690.074,29715.74,1180.774,1401,19103,917,0,1404,591,1097,44.7,2636.645,343,157.729,-2,0,0,-3,1670.135,0,344.616,10.915,2025.666,3442.57,2287.09,500,50.58,6280.24,46686,5772,15308.81,458.597,15767,407,78.2,29.4,44.28 +2023/03/27 20:00,,25656.196,27477.343,23316.299,25628.035,27482.618,1229.402,1443,18992,917,0,1150,328,384,0,2307.236,4.5,113.699,-2,-0.4,0,-9,1503.468,0,329.746,21.369,1854.583,3442.57,2287.09,500,50.58,6280.24,46686,5772,15658.353,420.584,16078,937,75.8,29.4,43.02 +2023/03/27 21:00,,23835.674,25566.524,21342.267,23716.921,25425.167,1106.818,1453,18888,917,0,96,243,15,0,2374.654,0,0,-2,-1.733,0,-266,1381.406,0,293.559,33.281,1708.246,3442.57,2287.09,500,50.58,6280.24,46686,5772,15649.06,400.609,16049,669,75.8,29.4,42.09 +2023/03/27 22:00,,22708.129,24081.001,20485.801,22688.963,23922.742,1151.546,1423,18908,917,0,0,243,0,0,2203.162,0,0,-2,-5.199,0,-998,1157.31,0,39.9,36.569,1233.779,3442.57,2287.09,500,50.58,6280.24,46686,5772,15600.096,400.609,16000,705,75.8,29.4,42.44 +2023/03/27 23:00,,21559.18,22824.623,19812.801,21660.279,22743.133,1156.087,1412,18718,917,0,0,243,0,0,1847.478,0,0,-2,-5.199,0,-1470,1006.679,0,39.246,36.929,1082.854,3442.57,2287.09,500,50.58,6280.24,46686,5772,15621.121,400.609,16021,73,77.8,29.4,42.9 +2023/03/28 00:00,,20739.891,21919.583,19298.668,20922.753,21880.752,1134.044,1422,18374,917,0,0,243,0,0,1624.085,0,0,-2,-5.332,0,-1650,883.087,0,39.157,35.755,957.999,3442.57,2287.09,500,50.58,6280.24,46686,5772,15652.163,400.609,16052,772,79.8,29.4,44.17 +2023/03/28 01:00,,20531.853,21613.315,18868.801,20583.209,21521.186,1119.398,1436,17879,917,0,0,243,0,0,1714.407,0,0,-2,-5.199,0,-1599,863.079,0,39.164,35.734,937.977,3442.57,2287.09,500,50.58,6280.24,46686,5772,16030.205,400.609,16430,814,82.2,29.4,46.03 +2023/03/28 02:00,,20426.122,21438.988,19109.801,20577.035,21446.685,1114.508,1416,18050,917,0,0,243,0,0,1467.233,0,0,-2,-5.199,0,-1509,796.706,0,39.198,33.746,869.65,3442.57,2287.09,500,50.58,6280.24,46686,5772,15939.504,400.609,16340,113,84.6,29.4,47.7 +2023/03/28 03:00,,20699.997,21624.886,19171.668,20757.936,21598.617,1116.84,1404,18069,917,0,0,243,0,0,1586.268,0,0,-2,-5.332,0,-1454,768.405,0,39.22,33.056,840.681,3442.57,2287.09,500,50.58,6280.24,46686,5772,16242.515,400.609,16643,124,86.6,29.4,49.12 +2023/03/28 04:00,,21663.973,22594.158,20075.801,21679.224,22627.947,1196.455,1359,18645,917,0,0,243,0,0,1603.423,0,0,-2,-5.199,0,-1081,876.5,0,39.147,33.076,948.723,3442.57,2287.09,500,50.58,6280.24,46686,5772,15391.202,406.089,15797,291,88.2,29.4,50.95 +2023/03/28 05:00,,22997.038,23961.301,22399.801,23236.823,24368.726,1266.372,1363,18996,918,0,154,245,771,0,837.022,0,0,-2,-5.199,0,-40,1074.169,0,23.062,34.672,1131.903,3442.57,2287.09,500,50.58,6280.24,46686,5772,15058.126,411.049,15469,175,89.4,29.4,52.05 +2023/03/28 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12:00,,24549.94,28035.757,22681.479,23739.618,27338.549,1310.792,1451,19470,917,0,458,243,0,0,1058.139,0,158.212,-2,-1.733,0,-12,1640.991,1596.755,353.152,8.033,3598.931,3442.57,2287.09,500,50.58,6280.24,46686,5772,14729.855,413.257,15143,111,79.4,29.4,43.19 +2023/03/28 13:00,,24186.455,27822.16,22341.935,23396.869,27394.115,1322.932,1476,19356,917,0,372,243,0,0,1054.935,0,0,-2,-5.065,0,-15,2070.088,1552.287,366.736,8.135,3997.246,3442.57,2287.09,500,50.58,6280.24,46686,5772,14712.228,411.129,15123,357,79.4,29.4,43.36 +2023/03/28 14:00,,24186.057,27913.065,22517.935,23574.233,27622.421,1361.082,1458,19514,917,0,369,243,35,0,1056.298,0,0,-2,-5.065,0,-11,2324.448,1343.583,358.567,21.59,4048.188,3442.57,2287.09,500,50.58,6280.24,46686,5772,14281.225,407.244,14688,469,79.4,29.4,43.25 +2023/03/28 15:00,,24489.451,28262.217,23073.935,24219.527,28079.736,1346.413,1496,19685,917,0,374,243,379,0,1145.593,0,0,-2,-5.065,0,-13,2364.392,1155.002,312.944,27.871,3860.209,3442.57,2287.09,500,50.58,6280.24,46686,5772,14420.953,406.169,14827,122,79.4,29.4,43.31 +2023/03/28 16:00,,25272.973,28843.847,23252.935,25246.537,28744.44,1339.697,1434,19778,917,0,499,244,404,0,1993.603,0,0,-2,-5.065,0,-16,2278.609,884.614,306.511,28.169,3497.903,3442.57,2287.09,500,50.58,6280.24,46686,5772,14545.294,405.081,14950,375,78.6,29.4,42.96 +2023/03/28 17:00,,25853.073,29012.023,24436.198,26127.415,29054.517,1416.828,1451,19843,917,0,686,428,949,0,1691.217,0,180.13,-2,-4.932,0,-11,2252.553,305.123,338.449,30.977,2927.102,3442.57,2287.09,500,50.58,6280.24,46686,5772,14498.04,401.149,14899,189,78.2,29.4,42.09 +2023/03/28 18:00,,27483.242,30236.01,25756.739,27822.541,30392.638,1508.084,1420,19711,918,0,689,605,1744,208.6,1559.202,298,675.472,-2,-1.733,0,-2,2210.441,29.113,297.53,33.013,2570.097,3442.57,2287.09,500,50.58,6280.24,46686,5772,14577.974,401.149,14979,123,77,29.4,40.68 +2023/03/28 19:00,,27434.221,30053.15,24899.225,27411.651,30028.403,1359.088,1471,19534,918,0,855,595,628,238.4,1976.026,298,915.424,-2,-5.199,0,-10,2267.899,0,316.474,32.379,2616.752,3442.57,2287.09,500,50.58,6280.24,46686,5772,14427.677,401.149,14828,826,74.2,29.4,38.19 +2023/03/28 20:00,,25241.328,27702.694,23957.128,25321.454,27846.399,1412.398,1501,19626,918,0,796,327,123,0,1359.826,4.5,800.327,-2,-5.199,0,-127,2234.351,0,256.845,33.749,2524.945,3442.57,2287.09,500,50.58,6280.24,46686,5772,14231.102,401.149,14632,251,73.8,29.4,36.74 +2023/03/28 21:00,,23607.822,25879.72,21971.934,23535.926,25862.898,1315,1501,19728,918,0,142,243,28,0,1563.992,0,24.667,-2,-1.733,0,-609,2124.54,0,168.333,34.099,2326.972,3442.57,2287.09,500,50.58,6280.24,46686,5772,14169.333,402.643,14571,976,73.8,29.4,36.8 +2023/03/28 22:00,,22452.709,24238.345,20806.801,22363.589,24159.366,1308.162,1441,19448,918,0,0,243,0,0,1556.788,0,0,-2,-5.199,0,-1236,1725.738,0,36.952,33.087,1795.777,3442.57,2287.09,500,50.58,6280.24,46686,5846.667,14371.57,406.129,14777,699,73.8,29.4,38.19 +2023/03/28 23:00,,21347.767,22955.716,20067.801,21439.901,22906.018,1234.594,1468,19073,918,0,0,243,0,0,1372.1,0,0,-2,-5.199,0,-1627,1396.292,0,36.922,32.903,1466.117,3442.57,2287.09,500,50.58,6280.24,46686,6412,14126.708,406.129,14532,837,75.8,29.4,39.21 +2023/03/29 00:00,,20592.562,22081.911,19561.935,20666.881,22152.295,1232.569,1433,18802,918,0,0,243,0,0,1016.43,88.517,0,-2,-5.065,0,-1827,1440.724,0,13.815,30.875,1485.414,3442.57,2287.09,500,50.58,6280.24,46686,6412,13985.974,406.129,14392,103,77.8,29.4,40.74 +2023/03/29 01:00,,20227.267,21670.89,19107.068,20180.601,21704.286,1175.116,1388,18509,919,0,0,243,0,0,1073.533,0,0,-2,-4.932,0,-1945,1493.045,0,0,30.64,1523.685,3442.57,2287.09,500,50.58,6280.24,46686,6412,13931.945,406.129,14338,74,80.2,29.4,42.79 +2023/03/29 02:00,,20138.867,21553.217,19158.801,20169.363,21613.658,1159.745,1391,18314,919,0,0,243,0,0,1010.561,0,0,-2,-5.199,0,-1701,1415.108,0,0,29.187,1444.295,3442.57,2287.09,500,50.58,6280.24,46686,6412,14141.258,399.778,14541,36,82.2,29.4,45.13 +2023/03/29 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12:00,,24345.71,27736.161,23345.915,24399.559,27476.439,1317.397,1484,18861,920,0,646,247,595,0,1053.645,0,610.247,-2,-3.333,0,-12,1067.567,1627.63,352.888,28.795,3076.88,3442.57,2287.09,500,50.58,6280.24,46686,7147,14754.886,445.55,15200,436,77.8,29.4,38.13 +2023/03/29 13:00,,24179.878,27737.641,23067.25,24120.917,27420.509,1320.596,1542,18664.92,920,0,539,252,829,0,1053.667,0,334.529,-2,-3.199,0,-9,1291.651,1626.212,350.868,30.861,3299.592,3442.57,2287.09,500,50.58,6280.24,46686,7147,14693.249,482.05,15175,299,77,29.4,37.41 +2023/03/29 14:00,,24296.637,27894.922,23319.945,24323.466,27882.758,1377.232,1461,18438,919,0,387,243,1561,0,1003.521,0,315.878,-2,-2.933,0,0,1577.118,1596.796,356.628,28.75,3559.292,3442.57,2287.09,500,50.58,6280.24,46686,7147,15108.71,432.717,15541,426,75.8,29.4,36.32 +2023/03/29 15:00,,24561.107,28011.158,23845.711,24664.066,28085.943,1380.838,1494,18310,919,0,625,243,1537,0,818.355,0,724.711,-2,0,0,-5,1562.015,1455.233,374.366,30.263,3421.877,3442.57,2287.09,500,50.58,6280.24,46686,7147,15293.437,415.55,15708,987,73,29.4,34.36 +2023/03/29 16:00,,25276.709,28438.327,24122.235,25541.967,28689.885,1360.758,1548,18344,919,0,670,355,1377,0,1419.732,0,919.235,-2,0,0,-8,1507.549,1163.714,442.214,34.441,3147.918,3442.57,2287.09,500,50.58,6280.24,46686,7147,15296.58,407.317,15703,897,71,29.4,31.13 +2023/03/29 17:00,,25871.312,28542.816,25226.272,26396.263,28910.984,1323.971,1516,18383,919,71,858,607,1942,0,1169.991,0,931.272,-1,0,0,0,1492.422,530.911,457.36,34.028,2514.721,3442.57,2287.09,500,50.58,6280.24,46686,7147,15259.512,553.9,15813,412,69.8,29.4,29.3 +2023/03/29 18:00,,27626.68,29990.641,25251.164,28413.879,30459.894,1062.139,1465,18414,920,151,1044,605,1712,789.7,2149.015,224,943.164,0,0,0,-3,1622.091,28.831,360.191,34.902,2046.015,3442.57,2287.09,500,50.58,6280.24,46686,7147,15238.831,562.55,15801,381,67,29.4,26.48 +2023/03/29 19:00,,27504.875,30006.115,24634.862,27927.727,30112.784,1296.732,1457,18655,920,100,1085,603,886,59.6,3009.265,224,943.862,0,0,0,-15,1821.906,0,327.755,35.396,2185.057,3442.57,2287.09,500,50.58,6280.24,46686,7147,15120.645,562.55,15683,195,64.2,29.4,23.94 +2023/03/29 20:00,,25359.831,27830.028,23652.779,25933.619,28114.088,1289.6,1545,18562,920,0,1017,595,156,0,2280.84,0,949.779,-2,0,0,-90,1832.304,0,314.416,33.749,2180.469,3442.57,2287.09,500,50.58,6280.24,46686,7147,15120.877,553.9,15674,777,63.3,29.4,22.49 +2023/03/29 21:00,,23502.585,25812.025,21885.885,24034.557,26028.1,1202.986,1474,18232,920,0,874,358,0,0,2148.671,0,933.685,-2,-0.8,0,-903,1724.774,0,236.385,32.384,1993.543,3442.57,2287.09,500,50.58,6280.24,46686,7147,15341.398,390.322,15731,72,62.8,29.4,22.62 +2023/03/29 22:00,,22194.4,24078.123,20579.108,22554.743,24261.991,1245.177,1390,18165.66,920,0,245,48,0,0,1975.635,0,510.447,-2,-3.999,0,-694,1626.09,0,52.169,28.989,1707.248,3442.57,2287.09,500,50.58,6280.24,46686,7147,15361.727,393.76,15755,487,63.3,29.4,24.4 +2023/03/29 23:00,,21234.758,22894.998,19622.044,21476.353,23059.904,1230.149,1353,17836,920,0,272,0,0,0,1854.309,0,487.243,-2,-5.199,0,-1239,1513.102,0,39.457,30.992,1583.551,3442.57,2287.09,500,50.58,6280.24,46686,7147,15557.777,393.76,15951,537,63.3,29.4,25.96 +2023/03/30 00:00,,20561.716,22217.16,19216.229,20822.993,22449.682,1232.169,1357,17771,920,0,253,0,0,0,1606.765,0,486.294,-2,-5.065,0,-1564,1556.697,0,39.398,30.594,1626.689,3442.57,2287.09,500,50.58,6280.24,46686,7147,15736.05,393.76,16129,81,63.3,29.4,28.41 +2023/03/30 01:00,,20183.689,21791.477,19005.731,20519.862,22041.434,1201.454,1386,17761,920,0,253,0,0,0,1514.131,0,487.063,-2,-5.332,0,-1794,1451.335,0,39.383,30.854,1521.572,3442.57,2287.09,500,50.58,6280.24,46686,7147,15723.497,393.76,16117,257,64.7,29.4,31 +2023/03/30 02:00,,20107.001,21645.478,18939.269,20333.106,21942.704,1214.685,1374,17975.44,920,0,187,0,0,0,1393.836,0,426.028,-2,-5.199,0,-1936,1539.201,0,39.339,31.058,1609.598,3442.57,2287.09,500,50.58,6280.24,46686,7147,15571.837,393.76,15965,597,66.5,29.4,33.44 +2023/03/30 03:00,,20238.996,21726.723,18710.625,20259.784,21967.705,1169.849,1373,17978,920,0,235,0,0,0,1549.159,0,160.824,-2,-5.199,0,-1949,1639.675,0,39.294,28.952,1707.921,3442.57,2287.09,500,50.58,6280.24,46686,7147,15492.223,393.76,15885,983,68.2,29.4,36.01 +2023/03/30 04:00,,21165.109,22576.512,20051.641,21663.871,23278.765,1306.306,1349,18470,920,0,205,2,0,0,1612.23,0,160.84,-2,-5.199,0,-1048,1549.109,0,35.073,30.712,1614.894,3442.57,2287.09,500,50.58,6280.24,46686,7147,15460.4,393.76,15854,16,70.2,29.4,38.19 +2023/03/30 05:00,,22726.543,24090.431,21569.293,23275.02,24855.036,1353.937,1361,18897,920,0,246,246,40,0,1705.727,0,161.358,-2,-5.065,0,-295,1548.581,0,0.082,31.353,1580.016,3442.57,2287.09,500,50.58,6280.24,46686,7147,14992.556,393.76,15386,316,70.6,29.4,40.27 +2023/03/30 06:00,,24345.693,25719.404,22880.348,24878.391,26468.551,1238.586,1388,19008,920,0,244,601,563,0,1998.043,0,173.147,-2,-4.799,0,-10,1548.953,16.031,0,25.176,1590.16,3442.57,2287.09,500,50.58,6280.24,46686,7400.767,14843.944,393.76,15237,704,70.2,29.4,40.74 +2023/03/30 07:00,,25254.788,27017.708,23119.747,25378.397,27315.157,1211.387,1426,18909,920,0,423,602,323,0,2258.65,0,532.213,-2,-3.466,0,-10,1475.14,423.461,8.555,29.604,1936.76,3442.57,2287.09,500,50.58,6280.24,46686,7478,14775.817,393.76,15169,577,69.4,29.4,39.98 +2023/03/30 08:00,,25686.204,28123.595,23197.466,25766.6,28364.172,1220.895,1444,18649,920,0,498,606,454,0,2569.134,0,642.932,-2,-3.466,0,-11,1223.094,1193.664,153.448,27.366,2597.572,3442.57,2287.09,500,50.58,6280.24,46686,7478,15085.16,345.76,15430,92,68.6,29.4,39.92 +2023/03/30 09:00,,25214.338,28179.019,22607.204,25388.413,28337.371,1218.543,1474,18295.2,920,0,504,514,269,0,2781.209,0,644.47,-2,-3.466,0,-8,1129.994,1510.566,280.503,27.895,2948.958,3442.57,2287.09,500,50.58,6280.24,46686,7478,15362.904,303.76,15666,664,68.2,29.4,39.21 +2023/03/30 10:00,,24880.057,28002.782,22250.059,25075.393,28185.278,1220.753,1424,18152,920,0,491,344,287,0,2710.335,115,645.391,-2,-3.333,0,-8,1147.372,1701.416,231.922,29.175,3109.885,3442.57,2287.09,500,50.58,6280.24,46686,7478,15638.534,311.724,15950,258,67.8,29.4,38.73 +2023/03/30 11:00,,24676.011,27837.436,22217.52,24934.915,28011.377,1281.733,1397,18220,920,0,474,325,249,0,2717.395,0,643.986,-2,-3.466,0,-6,1108.363,1760.15,177.789,30.16,3076.462,3442.57,2287.09,500,50.58,6280.24,46686,7478,15592.511,364.403,15956,915,67.8,29.4,38.07 +2023/03/30 12:00,,24550.622,27698.845,22570.75,24976.902,28002.367,1359.799,1411,18243,920,0,502,243,621,0,2406.152,0,643.082,-2,-3.333,0,-7,1083.944,1727.424,185.459,28.638,3025.465,3442.57,2287.09,500,50.58,6280.24,46686,7478,15452.829,461.431,15914,26,67,29.4,38.07 +2023/03/30 13:00,,24510.367,27664.514,22556.212,24974.219,27965.848,1378.343,1433,18224,919,0,488,243,617,0,2418.007,0,642.345,-2,-2.133,0,-6,1055.62,1668.232,238.814,28.963,2991.629,3442.57,2287.09,500,50.58,6280.24,46686,7478,15237,500.13,15737,13,65.6,29.4,37.29 +2023/03/30 14:00,,24886.622,28009.503,22508.825,25314.997,28171.758,1291.19,1434,18171,919,0,504,243,610,0,2806.172,0,638.958,-2,-2.133,0,-7,1025.164,1545.267,257.298,29.032,2856.761,3442.57,2287.09,500,50.58,6280.24,46686,7478,15197.245,510.88,15708,125,64.7,29.4,36.38 +2023/03/30 15:00,,25477.035,28452.841,23173.828,25968.317,28653.703,1281.834,1447,17917,919,0,597,243,1255,0,2794.489,0,802.961,-2,-2.133,0,-3,1046.078,1338.514,269.67,31.124,2685.386,3442.57,2287.09,500,50.58,6280.24,46686,7478,15321.363,639.797,15961,16,63.7,29.4,35.53 +2023/03/30 16:00,,26104.84,28749.443,23498.004,26719.507,29218.387,1285.22,1447,17866,919,0,1060,409,856,0,3221.503,0,955.137,-2,-2.133,0,-10,1112.37,969.396,384.226,32.888,2498.88,3442.57,2287.09,500,50.58,6280.24,46686,7196.65,15368.843,661.73,16030,573,61.4,29.4,33.99 +2023/03/30 17:00,,26772.32,28871.44,24201.038,27297.613,29409.482,1377.413,1431,18197,919,0,1120,605,980,0,3096.574,0,963.171,-2,-2.133,0,-10,1212.296,426.724,439.361,33.488,2111.869,3442.57,2287.09,500,50.58,6280.24,46686,7147,15302.605,661.73,15964,335,60.4,29.4,32.63 +2023/03/30 18:00,,28003.738,29754.784,24945.548,28491.469,30284.35,1401.056,1412,18519,919,0,1209,604,1321,0,3304.92,241,974.681,-2,-2.133,0,-9,1374.114,24.787,359.026,34.954,1792.881,3442.57,2287.09,500,50.58,6280.24,46686,7147,14941.445,585.53,15526,975,58.7,29.4,31.25 +2023/03/30 19:00,,27253.4,29170.471,23932.87,27619.919,29594.569,1365.471,1356,18580,919,0,1169,250,691,0,3446.049,241,984.003,-2,-2.133,0,-12,1610.554,0,329.059,35.037,1974.65,3442.57,2287.09,500,50.58,6280.24,46686,7489,14300.258,538.33,14838,588,57,29.4,29.43 +2023/03/30 20:00,,25396.398,27422.974,23148.142,26049.939,27935.637,1236.363,1347,18607,920,0,848,243,221,0,2901.797,0,986.275,-2,-2.133,0,-20,1544.024,0,313.53,28.144,1885.698,3442.57,2287.09,500,50.58,6280.24,46686,7507,14363.048,512.413,14875,461,55.5,29.4,28.66 +2023/03/30 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10:00,,25115.834,27857.251,20629.254,24763.951,27633.199,1216.628,1499.385,17359.834,921.742,0,609.845,0.003,247.66,0,4134.663,0.033,0,-2.074,-1.693,-0.001,-5.447,982.113,1571.341,204.965,10.829,2769.248,3442.57,2287.09,500,50.58,6280.24,46686,3862,18356.589,491.883,18848,472,67.4,24.2,47.26 +2023/05/10 11:00,,24637.705,27489.882,20306.351,24260.55,27294.209,1201.511,1518.675,17086.797,921.719,0,514.24,0.004,271.69,0,3954.2,0,0,-2.079,-1.693,-0.001,-3,1081.996,1619.424,221.513,10.726,2933.659,3442.57,2287.09,500,50.58,6280.24,46686,3862,18787.442,544.383,19331,825,67.4,24.2,46.48 +2023/05/10 12:00,,24330.703,27217.595,20342.854,24006.882,27111.537,1199.907,1207.333,17252.573,921.302,0,324.355,92.003,550.09,0,3664.028,0,0,-2.083,-1.72,-0.001,-1,1178.809,1604.328,209.992,11.526,3004.655,3442.57,2287.09,500,50.58,6280.24,46686,3862,18722.306,545.383,19267,689,67.4,24.2,45.81 +2023/05/10 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01:00,,19426.252,20904.317,18018.406,19718.563,21385.295,1004.377,1365.411,17904.366,923.23,0,0,0.004,0,0,1700.157,0,0,-2.16,-3.479,-0.003,-2168.962,1568.516,0,0,33.874,1602.39,3442.57,2287.09,500,50.58,6280.24,46686,3013,17763.215,457,18220,215,87.8,40.9,45.08 +2023/05/29 02:00,,19377.018,20867.287,18180.723,19538.6,21113.502,991.221,1376.263,18063.659,922.777,0,0,0.003,0,0,1357.877,0,0,-2.158,-3.479,-0.003,-2176.339,1469.084,0,0,33.839,1502.923,3442.57,2287.09,500,50.58,6280.24,46686,3013,17670.11,457,18127,11,90,42.5,47.59 +2023/05/29 03:00,,19808.068,21236.105,18487.034,19867.018,21348.427,1005.619,1404.001,18303.911,923.122,0,0,0.004,0,0,1379.984,0,0,-2.16,-3.479,-0.002,-2138.362,1374.226,0,0,34.229,1408.455,3442.57,2287.09,500,50.58,6280.24,46686,3013,17159.328,457,17616,328,91.2,44,49.93 +2023/05/29 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10:00,,26605.955,29451.192,24281.002,27024.099,29337.259,1195.185,1466.056,19505.753,923.568,0,1037.24,0.003,1364.697,0,2743.097,0,0,-2.126,-1.693,-0.002,-12.493,1511.628,654.662,36.029,36.187,2238.506,3442.57,2287.09,500,50.58,6280.24,46686,2407,17251.919,587,17838,919,86.2,40.9,48.2 +2023/05/29 11:00,,26022.144,29068.375,23468.945,26321.926,28869.5,1214.376,1466.665,19279.258,923.52,0,1039.42,0.003,782.138,0,2852.981,0,0,-2.128,-1.706,-0.002,-18.223,1553.661,773.541,114.339,37.425,2478.966,3442.57,2287.09,500,50.58,6280.24,46686,2407,17769.875,587,18356,875,84.2,39.7,45.87 +2023/05/29 12:00,,25704.136,28745.123,23343.625,25852.172,28672.721,1184.723,1489.35,19115.921,923.67,0,1060.01,0.003,774.405,0,2508.547,0,0,-2.127,-1.693,-0.001,-15.914,1755.386,828.852,130.788,37.144,2752.17,3442.57,2287.09,500,50.58,6280.24,46686,2407,17988.437,587,18575,437,83.4,38.5,45.08 +2023/05/29 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10:00,,26929.886,29807.951,26047.948,26047.948,29134.446,1023.82,1347.948,21419.481,922.537,0,913.27,0.22,1249.546,0,0,0,202.735,-2.069,-1.72,-0.001,-4,1487.709,1383.494,74.223,41.072,2986.498,3442.57,2287.09,500,50.58,6280.24,46686,3259,14841.002,742.93,15583,932,82.6,47.6,40.27 +2023/06/21 11:00,,26395.783,29411.538,25741.217,25741.217,28741.181,1032.676,1356.162,21189.029,922.334,0,906.68,0.003,1228.299,0,0,0,146.975,-2.04,-1.706,-0.001,-4.518,1398.317,1390.572,70.254,40.821,2899.964,3442.57,2287.09,500,50.58,6280.24,46686,3259,15133.864,742.93,15876,794,81,46.8,38.91 +2023/06/21 12:00,,25969.317,29021.134,25248.931,25248.931,28141.045,1078.284,1313.21,21288.547,922.387,0,871.195,0.004,725.765,0,0,0,147.027,-2.039,-1.733,-0.001,-15.431,1328.265,1399.264,24.555,40.03,2792.114,3442.57,2287.09,500,50.58,6280.24,46686,3259,15052.542,742.93,15795,472,79.4,44.8,37.17 +2023/06/21 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13:00,,26194,29292.801,25819.378,28288.879,31255.802,1292.883,1383.88,19823.839,921.564,15.473,1917.965,6.003,784.985,0,2469.501,0,995.616,-1.967,-0.453,-0.001,-27.525,1209.179,1525.321,95.755,36.668,2866.923,3442.57,2287.09,500,50.58,6280.24,46686,4118,14804.941,307,15111,941,57.5,35.7,27.83 +2023/07/10 14:00,,26534,29485.998,25583.397,28689.87,31429.714,1282.289,1401.491,19565.126,921.355,0,1793.58,0.003,920.974,0,3106.473,0,999.497,-2.172,-0.453,-0.001,-16.005,1040.438,1463.628,97.436,38.342,2639.844,3442.57,2287.09,500,50.58,6280.24,46686,4118,15698.996,307,16005,996,57,35.5,26.16 +2023/07/10 15:00,,27197,29949.536,25883.473,29265.221,31795.008,1298.786,1377.427,19741.467,921.437,0,1785.405,0.004,1074.025,0,3381.748,0,998.757,-2.142,-0.453,-0.001,-12.453,992.898,1287.307,111.306,38.276,2429.787,3442.57,2287.09,500,50.58,6280.24,46686,4118,15772.775,307,16079,775,56.5,34.1,24.73 +2023/07/10 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07:00,,25795.01,27825.587,25567.696,25567.696,27835.766,1235.848,1392.225,20883.65,919.583,0,504.245,585.183,647.315,0,0,0,672.567,-2.225,-3.452,-0.001,-31.394,1979.245,114.181,0,41.257,2134.683,3442.57,2287.09,500,50.58,6280.24,46686,4324,14203.424,450,14653,424,87.4,46.8,48.25 +2023/08/10 08:00,,25534.237,28449.634,25135.28,25135.28,28141.227,1243.887,1390.663,20842.067,919.768,0,504.515,217.094,667.221,0,0,0,622.447,-2.212,-3.306,-0.001,-22.976,2068.102,762.505,1.291,40.77,2872.668,3442.57,2287.09,500,50.58,6280.24,46686,4324,14233.837,450,14683,837,87,46.8,46.71 +2023/08/10 09:00,,25251.862,28736.277,24776.515,24776.515,28436.94,1301.528,1398.816,20709.13,919.526,0,515.315,118.003,830.859,0,0,0,313.472,-2.223,-3.426,-0.001,-22.957,2108.064,1307.762,70.427,40.511,3526.764,3442.57,2287.09,500,50.58,6280.24,46686,4324,14512.563,443,14955,563,86.2,46,45.75 +2023/08/10 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01:00,,19040.502,20465.678,17974.334,19034.657,20713.142,1207.065,1159.199,18101.294,916.713,0,180.97,0.004,0,0,1060.323,0,0,-2.183,-1.666,-0.003,-2379.994,1518.973,0,0,32.297,1551.27,3442.57,2287.09,500,50.58,6280.24,46686,5216.333,16063.047,300,16363,47,80.2,36.1,40.86 +2023/08/29 02:00,,18981.935,20428.168,17817.317,18875.329,20728.371,1277.725,1163.322,17879.679,917.025,0,0,0.004,-3.705,0,1058.013,0,0,-2.18,-1.653,-0.003,-2135.172,1698.738,0,0,35.326,1734.064,3442.57,2287.09,500,50.58,6280.24,46686,5770,16014.741,300,16314,741,82.2,38.1,43.3 +2023/08/29 03:00,,19342.533,20812.378,17929.803,19016.602,20827.846,1257.966,1159.006,17920.771,917.067,0,0,0.004,-1.265,0,1086.799,0,0,-2.201,-1.653,-0.002,-2061.925,1648.33,0,0,37.029,1685.359,3442.57,2287.09,500,50.58,6280.24,46686,5770,16105.781,300,16405,781,84.6,39.7,45.14 +2023/08/29 04:00,,21134.674,22696.81,19750.394,20978.495,22912.695,1361.865,1172.22,18018.01,916.745,0,379.115,0.004,-3.836,0,1228.1,0,0,-2.205,-1.533,-0.002,-728.123,1769.616,0,0,37.083,1806.699,3442.57,2287.09,500,50.58,6280.24,46686,5770,15962.818,306.276,16269,94,87,41.7,47.1 +2023/08/29 05:00,,23894.921,25527.148,23040.56,24000.895,26103.303,1412.904,1189.267,18604.698,916.722,0,1486.895,0.004,821.916,0,960.335,0,96.934,-2.245,0,-0.002,-73.629,1939.725,0,0,37.91,1977.635,3442.57,2287.09,500,50.58,6280.24,46686,5770,15411.231,315.062,15726,293,87.8,40.3,48.03 +2023/08/29 06:00,,25557.308,27264.232,24355.496,25424.532,27471.976,1354.58,1192.011,18385.362,916.477,0,1547.93,184.004,1966.19,0,1069.037,0,169.066,-2.241,0,-0.002,-3.3,1878.187,7.045,0,38.366,1923.598,3442.57,2287.09,500,50.58,6280.24,46686,5770,15433.039,315.062,15748,101,86.6,40.3,47.37 +2023/08/29 07:00,,24723.757,26900.883,23543.481,24606.295,27079.183,1289.622,1220.441,17704.18,916.543,0,1542.345,563.362,1448.319,0,1062.814,0,165.951,-2.21,0,-0.002,-15.447,1988.543,321.436,0,40.281,2350.26,3442.57,2287.09,500,50.58,6280.24,46686,5770,16057.361,315.062,16372,423,83.4,38.5,44.62 +2023/08/29 08:00,,24004.226,26939.036,22776.003,23921.144,27042.712,1276.797,1236.569,17572.934,916.424,0,1552.48,211.985,1146.028,0,1145.142,0,163.044,-2.189,0,0,-21.273,1867.986,1041.553,46.542,40.488,2996.569,3442.57,2287.09,500,50.58,6280.24,46686,5770,15961.647,315.062,16276,709,81.4,37.7,43.07 +2023/08/29 09:00,,23727.351,27133.964,22540.173,23694.752,27223.533,1312.873,1238.003,17735.31,916.587,0,1556.14,116.065,844.267,0,1154.579,0,157.928,-2.152,0,-0.001,-21.974,1846.308,1441.042,110.15,40.885,3438.385,3442.57,2287.09,500,50.58,6280.24,46686,5770,16036.294,315.062,16351,356,79.8,36.1,41.8 +2023/08/29 10:00,,23141.81,26831.863,22140.136,23284.549,26919.78,1371.335,1201.208,17918.698,916.365,0,1483.73,0.004,541.347,0,1144.413,0,108.003,-2.103,0,-0.001,-27.114,1743.923,1630.995,130.014,42.216,3547.148,3442.57,2287.09,500,50.58,6280.24,46686,5770,15913.393,315.062,16228,455,78.6,35.5,41.04 +2023/08/29 11:00,,22645.023,26353.028,21277.762,22606.48,26244.877,1349.773,1217.568,17962.784,916.687,0,860.24,0.004,346.661,0,1328.718,0,0,-2.092,-1.4,-0.001,-22.689,1683.144,1698.739,127.787,41.242,3550.912,3442.57,2287.09,500,50.58,6280.24,46686,5933.333,15668.438,315.062,15983,5,78.2,34.9,40.39 +2023/08/29 12:00,,22467.799,26032.359,20922.881,22180.493,25970.928,1372.65,1234.574,17935.609,916.945,0,504.53,0.004,355.147,0,1257.611,0,0.068,-2.112,-1.626,-0.001,-20.257,1764.641,1709.928,185.762,40.141,3700.472,3442.57,2287.09,500,50.58,6280.24,46686,5970,15771.315,315.062,16086,377,77.8,33.7,40.39 +2023/08/29 13:00,,22336.826,25769.51,20862.583,22047.559,25749.208,1415.845,1260.65,17841.131,916.905,0,495.385,0.004,367.162,0,1184.976,0,0.102,-2.102,-1.613,-0.001,-15.039,1679.309,1668.099,225.924,39.96,3613.292,3442.57,2287.09,500,50.58,6280.24,46686,5970,16002.456,315.062,16317,518,77,32.9,40.21 +2023/08/29 14:00,,22715.099,26013.462,21330.367,22547.198,25983.399,1452,1261.437,17770.609,918.086,0,490.87,0.004,908.548,0,1216.831,0,0,-2.106,-1.32,-0.001,-15.761,1522.658,1566.353,236.847,22.161,3348.019,3442.57,2287.09,500,50.58,6280.24,46686,5970,16250.725,315.062,16565,787,76.6,32.1,40.27 +2023/08/29 15:00,,23717.419,26725.26,22222.237,23536.505,26652.623,1460.479,1264.699,17764.331,920.553,0,1092.04,0.004,1197.011,0,1314.268,0,0,-2.125,0,-0.001,-14.275,1418.38,1347.203,248.749,15.673,3030.005,3442.57,2287.09,500,50.58,6280.24,46686,5970,16394.547,315.062,16709,609,75.4,31.4,39.16 +2023/08/29 16:00,,25185.006,27728.84,22650.858,25328.135,27905.584,1460.697,1237.79,18341.612,920.161,0,1297.44,240.004,630.813,0,2677.277,0,0,-2.114,0,-0.001,-14.846,1318.173,900.899,256.383,14.567,2490.022,3442.57,2287.09,500,50.58,6280.24,46686,5970,15995.64,315.062,16310,702,73,30.6,37.83 +2023/08/29 17:00,,26167.385,27987.289,23421.967,26243.068,28084.389,1434.259,1201.519,18553.866,919.719,0,1495.04,255.007,1016.181,0,2807.1,14,0,-2.13,0,-0.005,-17.231,1185.903,251.843,303.139,14.257,1755.142,3442.57,2287.09,500,50.58,6280.24,46686,5970,15451.044,315.062,15766,106,72.6,29.4,37.23 +2023/08/29 18:00,,28511.541,29972.405,25473.808,28630.817,30135.769,1462.262,1184.438,18670.141,916.426,0,1516.08,603.057,2368.725,0,3143.01,14,217.089,-2.149,0,0,0,1080.438,10.602,312.751,15.045,1418.836,3442.57,2287.09,500,50.58,6280.24,46686,5970,15261.404,315.062,15576,466,71.8,27.8,36.02 +2023/08/29 19:00,,28356.346,29841.296,25140.598,28475.596,29794.612,1396.238,1156.095,18689.517,915.77,0,1483.585,441.572,2149.217,0,3329.498,5.5,310.998,-2.153,0,-0.001,-4,950.91,0.475,265.264,15.402,1232.051,3442.57,2287.09,500,50.58,6280.24,46686,5970,15051.48,315.062,15366,542,69,25.4,33.14 +2023/08/29 20:00,,26672.002,28225.761,24354.079,27083.852,28465.272,1352.005,1166.741,18704.411,915.938,0,1514.28,168.004,1585.319,0,2729.772,0,313.304,-2.153,0,-0.002,-11.762,1041.729,0,237.372,15.563,1294.664,3442.57,2287.09,500,50.58,6280.24,46686,5970,15036.856,315.062,15351,918,66.5,23.2,30.41 +2023/08/29 21:00,,24117.211,25730.308,22025.661,24371.772,25855.205,1298.723,1194.107,18595.002,915.775,0,1421.35,0.004,74.286,0,2346.112,0,304.532,-2.159,0,-0.002,-477.233,1203.805,0,178.041,15.624,1397.47,3442.57,2287.09,500,50.58,6280.24,46686,5970,15028.8,315.062,15343,862,64.2,21.4,28.38 +2023/08/29 22:00,,21963.355,23397.41,19951.786,21884.247,23470.418,1337.257,1157.486,18450.723,916.123,0,1166.77,0.004,-5.83,0,1932.461,0,30.966,-2.164,-0.4,-0.003,-1761.891,1446.535,0,39.827,14.765,1501.127,3442.57,2287.09,500,50.58,6280.24,46686,5970,15038.462,315.062,15353,524,64.2,21.8,28.91 +2023/08/29 23:00,,20451.201,21980.36,18541.784,20252.662,22000.649,1348.414,1164.919,18445.818,916.121,0,370.44,0.004,-4.397,0,1710.878,0,0,-2.164,-1.626,-0.002,-2347.327,1609.755,0,38.337,14.292,1662.384,3442.57,2287.09,500,50.58,6280.24,46686,5970,15059.682,308.786,15368,469,65.6,24.2,30.85 +2023/08/30 00:00,,19342,21013.098,18080.688,19549.18,21383.429,1270.751,1170.742,18055.181,915.862,0,0,0.004,-4.465,0,1468.492,0,0,-2.156,-1.64,-0.002,-2052.838,1698.587,0,36.275,12.852,1747.714,3442.57,2287.09,500,50.58,6280.24,46686,5970,15196.886,300,15496,886,67.8,25.8,32.89 +2023/08/30 01:00,,18920,20726.334,17464.733,18920.545,20752.639,1259.535,1169.787,17576.176,915.466,0,0,0.004,-2.398,0,1455.812,0,0,-2.161,-1.653,-0.002,-2190.486,1730.297,0,1.432,12.636,1744.365,3442.57,2287.09,500,50.58,6280.24,46686,5970,15759.05,300,16059,5,69.8,27.4,34.88 +2023/08/30 02:00,,18882,20791.139,17440.877,18909.65,20831.438,1285.162,1162.854,17689.159,915.8,0,0,0.004,0,0,1468.772,0,0,-2.167,-1.666,-0.002,-2323.103,1820.677,0,0,12.713,1833.39,3442.57,2287.09,500,50.58,6280.24,46686,5970,15775.245,300,16075,245,71.8,29.4,37.04 +2023/08/30 03:00,,19309,21272.029,17646.826,19312.165,21207.687,1337.348,1155.59,17863.369,915.906,0,0.75,0.004,0,0,1665.339,0,0,-2.172,-1.666,-0.002,-2284.952,1789.576,0,0,16.951,1806.527,3442.57,2287.09,500,50.58,6280.24,46686,5970,15733.565,376.076,16109,64,73.8,30.6,39.51 +2023/08/30 04:00,,20872,22869.382,19726.912,21381.1,23445.733,1380.113,1174.307,18385.038,915.852,0,668.625,0.004,-1.707,0,1654.188,0,0,-2.196,-2.466,-0.003,-1410.542,1936.505,0,0,34.165,1970.67,3442.57,2287.09,500,50.58,6280.24,46686,5981,15602.947,422.602,16025,549,75.4,32.5,42.12 +2023/08/30 05:00,,24012,26092.116,22976.677,24072.241,26198.767,1455.414,1187.464,18554.293,915.848,0,1202.235,0.004,1180.819,0,1095.564,0,0,-2.194,-0.946,-0.002,-60.843,1993.26,0,0,38.551,2031.811,3442.57,2287.09,500,50.58,6280.24,46686,5990,15270.027,399.765,15669,792,76.6,33.7,43.61 +2023/08/30 06:00,,25698,27804.69,24139.421,25581.738,27738.901,1341.089,1176.577,18422.013,915.464,0,1653.22,236.004,1750.333,0,1442.317,0,0,-2.211,0,-0.002,-11.975,2015.512,8.855,0,39.485,2063.852,3442.57,2287.09,500,50.58,6280.24,46686,5990,15295.884,460.905,15756,789,75,32.1,42.37 +2023/08/30 07:00,,24701,27217.021,23173.716,24618.09,27098.694,1322.846,1217.299,18435.22,915.371,0,1531.555,544.674,554.495,0,1444.375,0,0,-2.203,0,-0.001,-22.695,2019.277,324.716,0,39.793,2383.786,3442.57,2287.09,500,50.58,6280.24,46686,5990,15143.072,460.905,15603,977,72.6,30.6,40.39 +2023/08/30 08:00,,24135,27336.224,22447.36,23939.886,27188.086,1352.272,1194.162,18415.959,915.207,0,990.84,117.861,833.449,0,1492.526,0,0,-2.17,-0.293,0,-17.656,2017.126,1040.703,49.179,38.786,3145.794,3442.57,2287.09,500,50.58,6280.24,46686,5990,15153.384,434.46,15587,844,72.2,29.7,39.32 +2023/08/30 09:00,,24008,27606.634,22380.55,23957.461,27356.855,1366.857,1211.932,18497.955,914.882,0,248.805,45.39,1478.652,0,1576.911,0,0,-2.13,-1.626,-0.001,-13.309,1771.47,1443.116,129.801,38.402,3382.789,3442.57,2287.09,500,50.58,6280.24,46686,5990,15132.864,369.797,15502,66,71,29,38.73 +2023/08/30 10:00,,23393,27224.608,21688.553,23249.564,26959.886,1382.428,1233.365,18272.517,915.363,0,0,0.004,1285.376,0,1561.011,0,0,-2.1,-1.666,-0.001,-14.305,1840.071,1628.185,186.016,38.069,3692.341,3442.57,2287.09,500,50.58,6280.24,46686,5989.855,15332.894,323.145,15656,38,69.8,27,36.99 +2023/08/30 11:00,,22797,26752.883,20967.658,22542.4,26433.105,1372.403,1213.489,18254.956,915.66,0,0,0.004,606.597,0,1574.742,0,0,-2.097,-1.666,-0.001,-19.283,1918.395,1701.098,211.638,39.843,3870.974,3442.57,2287.09,500,50.58,6280.24,46686,5989.764,15456.596,320,15776,596,68.6,24.6,35.6 +2023/08/30 12:00,,22557,26431.684,20748.316,22249.163,26154.464,1324.808,1235.708,17939.951,915.839,0,159.71,0.004,524.408,0,1500.847,0,0,-2.089,-1.653,-0.001,-23.561,1884.246,1734.22,226.42,40.616,3885.502,3442.57,2287.09,500,50.58,6280.24,46686,5989.764,15708.985,323.248,16032,233,67.8,23,34.91 +2023/08/30 13:00,,22305,26085.81,20835.558,22223.439,25889.581,1394.975,1244.893,17873.068,915.711,0,498.675,0.004,327.315,0,1387.882,0,0,-2.09,-1.666,-0.001,-20.35,1694.084,1695.794,228.158,30.9,3648.936,3442.57,2287.09,500,50.58,6280.24,46686,5951.599,15945.529,362.302,16307,831,67.4,23.2,34.12 +2023/08/30 14:00,,22624,26221.726,21347.751,22741.941,26038.37,1352.936,1202.88,17980.754,915.712,0,759.02,0.004,507.932,0,1394.19,0,0,-2.103,-1.653,-0.001,-14.793,1456.882,1601.832,202.989,15.563,3277.266,3442.57,2287.09,500,50.58,6280.24,46686,5936.511,15930.284,362.302,16292,586,67,23.2,33.62 +2023/08/30 15:00,,23532,26788.374,22403.2,23781.059,26676.727,1357.187,1230.167,18324.375,915.62,0,1224.39,0.004,728.785,0,1377.858,0,0,-2.105,-1.653,-0.001,-16.381,1278.46,1402.193,187.512,15.344,2883.509,3442.57,2287.09,500,50.58,6280.24,46686,5936.511,15631.935,362.302,15994,237,66.5,23.2,32.7 +2023/08/30 16:00,,24921,27674.447,22538.306,25381.594,27720.96,1382.868,1222.786,18571.531,915.845,0,1450.68,0.004,401.98,0,2843.288,0,0,-2.067,-0.6,-0.001,-21.853,1136.607,965.539,216.776,13.998,2332.92,3442.57,2287.09,500,50.58,6280.24,46686,5921.724,15213.617,362.302,15575,919,65.6,21.8,32.09 +2023/08/30 17:00,,26211,28189.091,23278.36,26433.855,28046.775,1422.84,1188.87,19081.762,912.975,0,1748.495,50.004,363.653,0,3140.494,15,0,-2.093,0,-0.001,-65.304,1019.042,291.687,281.357,13.878,1605.964,3442.57,2287.09,500,50.58,6280.24,46686,5775.125,14958.075,334.459,15292,535,64.7,21.8,31.58 +2023/08/30 18:00,,28858,30402.976,25556.747,29161.911,30257.773,1352.586,1159.041,19616.959,912.395,0,1753.905,584.576,1540.818,0,3590.164,15,0,-2.099,0,-0.001,-8.847,746.983,11.792,314.72,14.921,1088.416,3442.57,2287.09,500,50.58,6280.24,46686,5775.125,14623.904,332.994,14956,898,64.2,21.4,31.07 +2023/08/30 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22:00,,22068,23626.629,20149.57,22367.754,23514.7,1228.847,1142.174,18868.032,912.286,0,1352.415,0.004,-2.853,0,2218.184,0,0,-2.117,-0.213,-0.003,-2120.156,1103.108,0,20.708,14.166,1137.982,3442.57,2287.09,500,50.58,6280.24,46686,5775.125,15055.814,332.994,15388,808,59.9,18.7,24.64 +2023/08/30 23:00,,20730,22341.025,18540.827,20646.033,22089.349,1200.525,1158.861,18544.31,912.665,0,325.77,0.004,0,0,2105.205,0,0,-2.126,-2.066,-0.003,-2396.589,1419.048,0,0,13.679,1432.727,3442.57,2287.09,500,50.58,6280.24,46686,5775.125,15397.956,321.516,15719,472,62.4,20.25,26.79 +2023/08/31 00:00,,19787.807,21441.667,18190.705,19818.359,21487.024,1187.648,1163.199,18301.096,912.845,0,0,0.004,-3.029,0,1627.654,0,0,-2.116,-3.412,-0.002,-2177.879,1648.767,0,0,12.277,1661.044,3442.57,2287.09,500,50.58,6280.24,46686,5775.125,15382.293,320,15702,293,64.2,21.8,29.08 +2023/08/31 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01:00,,19474.75,21079.175,17771.639,19588.102,21067.315,1233.275,1162.116,18098.507,912.615,0,0,0.004,0,0,1816.463,0,0,-2.147,-1.72,-0.002,-2397.735,1390.593,0,0,39.368,1429.961,3442.57,2287.09,500,50.58,6280.24,46686,6535,14895.827,320,15215,827,74.6,31,31.85 +2023/09/01 02:00,,19565.871,21038.399,18069.112,19806.949,21084.708,1257.32,1162.436,18058.607,912.853,0,0,0.004,-2.752,0,1737.838,0,0,-2.135,-1.706,-0.002,-2058.193,1188.007,0,0,39.314,1227.321,3442.57,2287.09,500,50.58,6280.24,46686,6616.4,14984.691,320,15304,691,77,32.9,34.37 +2023/09/01 03:00,,20195.739,21584.397,18279.516,20288.858,21476.715,1238.369,1163.383,18129.019,913.198,0,20.25,0.004,0,0,2009.342,0,0,-2.144,-1.72,-0.002,-1942.472,1094.967,0,0,39.47,1134.437,3442.57,2287.09,500,50.58,6280.24,46686,6683,14923.623,320,15243,623,78.6,34.9,36.56 +2023/09/01 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16:00,,25476.42,28038.779,22244.656,26198.25,27984.206,1372.88,1362.321,18293.608,912.277,0,0,0.004,1623.971,0,3953.594,0,69.938,-2.087,-3.279,-0.001,-12.097,493.581,862.412,302.064,11.284,1669.341,3442.57,2287.09,500,50.58,6280.24,46686,5474,15939.395,449.833,16389,228,83.8,43.7,44.05 +2023/09/08 17:00,,26717.559,28491.956,23242.747,27264.521,28487.447,1340.177,1370.448,18260.75,912.291,0,0,133.208,2000.421,0,4021.774,0,583.822,-2.092,-3.266,-0.001,-12.833,469.105,248.192,371.556,11.411,1100.264,3442.57,2287.09,500,50.58,6280.24,46686,5474,15995.218,469,16464,218,81.8,42,41.94 +2023/09/08 18:00,,28536.439,29845.138,24566.295,28927.585,29862.666,1442.208,1296.055,18446.439,912.372,0,0,560.292,2749.404,0,4345.29,16,608.351,-2.114,-3.293,-0.001,-1.21,454.727,4.294,340.69,10.788,810.499,3442.57,2287.09,500,50.58,6280.24,46686,5474,16012.838,495.517,16508,355,79,40.3,39.05 +2023/09/08 19:00,,28313.484,29459.005,24115.567,28483.972,29366.682,1430.908,1414.316,18387.858,912.543,0,0,247.781,2550.294,0,4352.405,16,608.32,-2.119,-3.426,-0.002,0,427.82,0,323.039,9.788,760.647,3442.57,2287.09,500,50.58,6280.24,46686,5474,16062.341,512,16574,341,75.8,38.5,35.14 +2023/09/08 20:00,,26996.692,28019.589,23308.826,27142.666,28094.643,1398.234,1497.383,17862.735,912.343,0,0,0.004,2430.478,0,3833.839,0,612.232,-2.131,-3.306,-0.002,-0.909,487.945,0,323.012,9.745,820.702,3442.57,2287.09,500,50.58,6280.24,46686,5474,16477.193,512,16989,193,73,36.1,31.3 +2023/09/08 21:00,,25340.509,26228.502,22048.269,25528.436,26204.269,1357.642,1479.656,17812.359,912.318,0,0,0.004,1316.928,0,3480.167,0,548.489,-2.14,-3.439,-0.003,-15.902,340.754,0,197.558,10.414,548.726,3442.57,2287.09,500,50.58,6280.24,46686,5474,16459.808,512,16971,808,70.6,34.9,27.97 +2023/09/08 22:00,,23827.527,24546.898,20939.08,23956.977,24567.361,1324.871,1401.546,17967.081,912.323,0,0,0.004,492.922,0,3017.897,0,197.411,-2.145,-3.319,-0.003,-26.741,472.392,0,0,11.193,483.585,3442.57,2287.09,500,50.58,6280.24,46686,5474,16522.659,378.05,16900,709,69,34.1,25.65 +2023/09/08 23:00,,22309.577,23099.512,19333.478,22091.086,23017.146,1244.6,1319.036,17856.404,912.619,0,0,0.004,-5.426,0,2757.608,0,0,-2.148,-3.439,-0.002,-743.569,789.821,0,0,11.792,801.613,3442.57,2287.09,500,50.58,6280.24,46686,5474,16565.767,371,16936,767,68.2,34.1,24.64 +2023/09/09 00:00,,21134.318,22208.096,18360.51,20819.193,22210.46,1208.839,1333.18,17746.675,912.725,0,0,0.004,-4.644,0,2458.684,0,0,-2.146,-3.306,-0.002,-1621.976,1252.748,0,0,10.913,1263.661,3442.57,2287.09,500,50.58,6280.24,46686,5534,16572.949,371,16943,949,68.6,35.5,25.36 +2023/09/09 01:00,,20402.731,21659.637,17444.842,19887.73,21531.967,1206.479,1328.388,17266.251,912.86,0,0,0.004,-7.213,0,2442.888,0,0,-2.16,-3.439,-0.002,-2049.847,1513.755,0,0,10.873,1524.628,3442.57,2287.09,500,50.58,6280.24,46686,5644.067,16914.586,363.2,17277,786,70.2,36.9,26.86 +2023/09/09 02:00,,20043.589,21460.954,17497.05,19697.579,21521.423,1182.567,1339.06,17364.552,912.686,0,0,0.004,-3.238,0,2200.528,0,0,-2.163,-3.439,-0.002,-2110.408,1693.096,0,0,9.836,1702.932,3442.57,2287.09,500,50.58,6280.24,46686,5800.917,16660.313,353,17013,313,71.8,38.1,29.38 +2023/09/09 03:00,,20004.502,21518.246,17187.352,19506.088,21472.935,1206.89,1333.628,17667.331,912.826,0,0,0.004,0,0,2318.736,0,0,-2.166,-3.306,-0.002,-2720.964,1835.976,0,0,9.115,1845.091,3442.57,2287.09,500,50.58,6280.24,46686,6328,16060.152,311.633,16371,785,73,38.9,32.09 +2023/09/09 04:00,,20442.917,22052.809,18029.762,20238.05,22257.104,1233.004,1338.678,17657.553,912.895,0,0,0.004,-3.715,0,2208.288,0,0,-2.16,-3.426,-0.002,-1870.066,1885.693,0,0,9.067,1894.76,3442.57,2287.09,500,50.58,6280.24,46686,6195.467,16240.353,280,16520,353,75,40.9,35.45 +2023/09/09 05:00,,21187.587,22859.743,19169.145,20759.944,22837.189,1316.632,1370.744,17703.157,912.736,0,0,0.004,-1.991,0,1590.799,0,0,-2.178,-3.452,-0.003,-809.872,1944.447,0,0,9.51,1953.957,3442.57,2287.09,500,50.58,6280.24,46686,6026,16312.8,280,16592,8,76.6,42.5,37.32 +2023/09/09 06:00,,22540.163,24326.843,20675.097,22259.425,24529.69,1340.163,1402.386,17793.637,912.997,0,0,236.004,449.711,0,1584.328,0,0,-2.173,-3.293,-0.002,-114.172,2117.631,14.939,0,10.914,2143.484,3442.57,2287.09,500,50.58,6280.24,46686,5954,16304.438,280,16584,438,77,43.3,38.93 +2023/09/09 07:00,,24055.336,26330.161,21503.874,23482.824,26436.037,1347.598,1451.136,17791.022,912.987,0,0,496.735,883.967,0,1978.95,0,0,-2.16,-3.426,-0.001,-26.386,2485.404,331.931,0,11.479,2828.814,3442.57,2287.09,500,50.58,6280.24,46686,5954,16305.645,280,16585,645,76.2,42.5,38.88 +2023/09/09 08:00,,24556.572,27438.75,21481.862,23865.56,27313.313,1336.845,1426.916,17778.336,912.97,0,0,237.681,1149.082,0,2383.698,0,0,-2.129,-3.279,0,-17.714,2316.761,983.467,10.178,10.479,3320.885,3442.57,2287.09,500,50.58,6280.24,46686,5887.8,16293.356,280,16573,356,75,41.7,37.81 +2023/09/09 09:00,,24114.269,27547.314,20999.791,23561.771,27256.248,1366.753,1395.515,17655.031,912.963,0,0,90.012,973.717,0,2561.981,0,0,-2.091,-3.426,-0.001,-21.929,2097.704,1351.603,110.36,10.285,3569.952,3442.57,2287.09,500,50.58,6280.24,46686,5623,16364.168,280,16644,168,74.2,40.3,35.87 +2023/09/09 10:00,,23338.437,27063.538,20438.554,22837.712,26881.966,1408.171,1412.319,17458.649,912.973,0,0,0.004,687.096,0,2399.158,0,0,-2.052,-4.079,-0.001,-26.355,2171.637,1545.915,191.07,9.796,3918.418,3442.57,2287.09,500,50.58,6280.24,46686,5623,16543.764,280,16823,764,73.4,38.9,34.32 +2023/09/09 11:00,,22531.853,26514.519,19973.264,22168.25,26459.129,1407.706,1404.756,17316.252,912.901,0,0,0.004,370.153,0,2194.985,0,0,-2.056,-3.412,-0.001,-25.333,2313.561,1650.471,191.674,9.742,4165.448,3442.57,2287.09,500,50.58,6280.24,46686,5623,16694.467,280,16974,467,73.4,38.5,33.09 +2023/09/09 12:00,,22029.648,26095.319,19705.628,21722.594,26157.413,1403.778,1409.956,17172.349,912.884,0,0,0.004,252.117,0,2016.967,0,0,-2.046,-3.412,-0.001,-36.224,2465.065,1660.887,173.235,9.659,4308.846,3442.57,2287.09,500,50.58,6280.24,46686,5623,16699.805,345,17044,805,73,37.7,32.65 +2023/09/09 13:00,,21521.376,25688.475,19047.582,21176.457,25573.828,1358.838,1456.449,17038.956,912.994,0,0,0.004,-4.236,0,2128.875,0,0,-2.046,-3.279,-0.001,-351.259,2490.815,1605.832,170.224,9.844,4276.715,3442.57,2287.09,500,50.58,6280.24,46686,5623,16786.235,432,17218,235,72.6,36.9,32.51 +2023/09/09 14:00,,21320.895,25454.366,19132.717,21179.536,25393.52,1351.985,1458.759,17142.099,912.941,0,0,0.004,-4.619,0,2046.819,0,0,-2.037,-4.066,-0.001,-370.362,2455.591,1456.553,166.631,10.593,4089.368,3442.57,2287.09,500,50.58,6280.24,46686,5623,16639.18,489.667,17128,846,72.6,36.9,33.28 +2023/09/09 15:00,,21351.268,25375.971,19515.991,21412.611,25450.366,1370.047,1507.748,17203.091,913.052,0,0,0.004,60.888,0,1896.619,0,0,-2.052,-3.399,-0.001,-163.34,2491.809,1181.525,229.312,10.806,3913.452,3442.57,2287.09,500,50.58,6280.24,46686,5623,16318.911,530.933,16849,845,72.6,36.9,34.12 +2023/09/09 16:00,,21979.908,25678.429,19734.486,22225.463,25843.743,1371.881,1463.269,17142.686,912.734,0,0,0.004,267.087,0,2490.977,0,0,-2.096,-3.279,-0.001,-45.919,2424.296,751.438,311.538,9.564,3496.836,3442.57,2287.09,500,50.58,6280.24,46686,5623,16244.311,556,16800,311,72.6,37.7,34.02 +2023/09/09 17:00,,23261.253,26347.969,20667.298,23399.771,26398.96,1374.376,1426.158,17378.199,912.836,0,0,0.004,979.768,0,2732.473,0,0,-2.108,-3.426,-0.001,-24.132,2323.227,204.506,339.6,9.791,2877.124,3442.57,2287.09,500,50.58,6280.24,46686,5623,16214.174,556,16770,174,72.2,36.9,33.87 +2023/09/09 18:00,,25649.42,28362.633,22437.238,25593.155,28392.098,1440.608,1389.243,17524.795,912.566,0,0,562.279,2065.903,0,3155.917,0,0,-2.099,-4.106,-0.002,-11.342,2328.672,3.055,334.735,9.028,2675.49,3442.57,2287.09,500,50.58,6280.24,46686,5623,16069.964,585.5,16655,464,71.8,35.5,32.46 +2023/09/09 19:00,,25319.244,28001.234,21782.068,25009.348,27889.937,1423.25,1420.352,17585.045,912.766,0,0,410.586,1481.03,0,3227.281,0,0,-2.115,-3.426,-0.001,-22.171,2427.661,0,319.921,9.594,2757.176,3442.57,2287.09,500,50.58,6280.24,46686,5623,15754.618,603.204,16357,823,69.4,32.9,29.59 +2023/09/09 20:00,,23609.234,26319.203,20612.304,23398.284,26304.029,1372.582,1422.914,17488.214,912.751,0,0,30.004,786.736,0,2785.981,0,0,-2.112,-3.293,-0.002,-22.907,2473.14,0,296.397,10.412,2779.949,3442.57,2287.09,500,50.58,6280.24,46686,5623,15674.113,617.421,16291,534,67.8,32.1,27.53 +2023/09/09 21:00,,21975.498,24587.705,19136.899,21713.072,24441.265,1342.704,1358.135,17174.37,912.65,0,0,0.004,9.627,0,2576.173,0,0,-2.133,-3.439,-0.002,-312.313,2516.936,0,74.186,10.951,2602.073,3442.57,2287.09,500,50.58,6280.24,46686,5623,15980.537,555.021,16535,558,67.4,31,26.25 +2023/09/09 22:00,,20641.805,23153.431,18433.968,20593.42,23135.552,1319.692,1379.892,17106.923,912.819,0,0,0.004,-4.744,0,2159.452,0,0,-2.087,-3.293,-0.002,-955.544,2406.782,0,0,10.804,2417.586,3442.57,2287.09,500,50.58,6280.24,46686,5703.6,16397.79,555.021,16952,811,67.4,31.4,26.29 +2023/09/09 23:00,,19352.983,21878.211,17428.725,19272.232,21922.309,1295.903,1344.919,17227.268,912.978,0,0,0.004,-7.172,0,1843.507,0,0,-2.08,-4.226,-0.002,-2042.963,2517.653,0,0,9.526,2527.179,3442.57,2287.09,500,50.58,6280.24,46686,5704.583,16326.381,555.021,16881,402,68.6,33.7,26.59 +2023/09/10 00:00,,18199.276,20818.033,16773.786,18243.244,21016.797,1308.198,1236.559,17432.785,912.028,0,0,0.004,0,0,1469.457,0,0,-2.118,-3.439,-0.002,-2802.029,2646.518,0,0,7.593,2654.111,3442.57,2287.09,500,50.58,6280.24,46686,5762.6,16205.356,500.754,16706,11,69.8,35.5,28.83 +2023/09/10 01:00,,17820.86,20464.949,16483.145,18053.55,20504.965,1286.952,493.363,17725.527,912.751,0,0,0.004,-0.833,0,1570.405,0,0,-2.124,-3.293,-0.002,-2642.249,2321.357,0,0,7.296,2328.653,3442.57,2287.09,500,50.58,6280.24,46686,5721.6,16037.092,407.903,16444,995,72.2,36.9,32.13 +2023/09/10 02:00,,17756.821,20378.624,16445.806,17932.915,20490.541,1281.101,55.581,17720.029,912.396,0,0,0.004,-6.35,0,1487.109,0,0,-2.148,-3.439,-0.002,-2230.265,2420.725,0,0,6.605,2427.33,3442.57,2287.09,500,50.58,6280.24,46686,5167.927,16664.814,395,17059,814,74.2,38.5,35.08 +2023/09/10 03:00,,17924.635,20439.735,16350.097,17964.268,20436.214,1266.873,49.029,17965.955,912.405,0,0,0.004,0,0,1614.171,0,0,-2.151,-3.293,-0.002,-2571.85,2333.814,0,0,7.322,2341.136,3442.57,2287.09,500,50.58,6280.24,46686,5107,16600.401,395,16995,401,76.6,40.3,37.32 +2023/09/10 04:00,,18180.527,20548.926,17099.391,18521.855,20863.61,1315.433,54.973,17999.497,912.222,0,0,0.004,-6.536,0,1422.463,0,0,-2.145,-3.452,-0.002,-1855.168,2203.156,0,0,8.667,2211.823,3442.57,2287.09,500,50.58,6280.24,46686,5107,16536.882,395,16931,882,78.6,41.7,40.68 +2023/09/10 05:00,,18880.795,21097.599,18899.477,19268.835,21331.65,1472.352,87.721,18064.123,912.094,0,0,0.004,-7.552,0,369.358,0,0,-2.139,-3.439,-0.003,-151.331,1924.589,0.001,0,9.306,1933.896,3442.57,2287.09,500,50.58,6280.24,46686,5107,16346.19,448.302,16794,492,80.6,41.7,42.99 +2023/09/10 06:00,,20409.724,22553.389,20412.597,20818.263,22785.81,1480.932,128.941,18296.63,912.536,0,61.1,234.004,574.323,0,405.665,0,241.746,-2.145,-3.293,-0.002,-31.243,1812.533,15.628,0,10.128,1838.289,3442.57,2287.09,500,50.58,6280.24,46686,5107,16153.501,497.422,16650,923,80.6,41.7,43.05 +2023/09/10 07:00,,22418.521,25063.813,22267.398,22913.09,25037.794,1489.579,153.359,18197.588,912.321,0,688.785,495.624,1273.015,0,645.691,0,567.493,-2.152,-1.786,0,-16.848,1648.637,335.616,0,10.951,1995.204,3442.57,2287.09,500,50.58,6280.24,46686,5107,16221.268,525.368,16746,636,79.8,40.9,42.43 +2023/09/10 08:00,,23402.544,26606.236,22742.356,23649.34,26344.977,1521.745,167.198,18193.192,912.259,0,1134.54,215.429,1567.307,0,906.984,0,571.275,-2.115,0,0,-16.728,1557.686,983.883,11.084,10.739,2563.392,3442.57,2287.09,500,50.58,6280.24,46686,5107,16273.577,459.868,16733,445,79,39.7,40.26 +2023/09/10 09:00,,23111.9,26767.959,22315.133,23226.219,26356.209,1400.542,161.294,18283.143,912.384,0,1228.505,123.275,1082.811,0,911.086,0,550.387,-2.103,0,-0.001,-24.563,1569,1309.33,113.066,10.698,3002.094,3442.57,2287.09,500,50.58,6280.24,46686,5107,16244.585,397.322,16641,908,76.6,38.5,37.92 +2023/09/10 10:00,,22543.713,26458.749,21969.397,22872.72,26203.473,1417.873,151.38,18247.675,912.361,0,1192.8,0.004,958.746,0,903.323,0,539.498,-2.087,0,-0.001,-30.979,1526.072,1514.592,150.189,10.731,3201.584,3442.57,2287.09,500,50.58,6280.24,46686,5107,16262.572,399.402,16661,973,75,38.1,36.4 +2023/09/10 11:00,,22054.675,26170.128,21460.792,22356.909,25924.311,1471.719,129.96,18273.573,912.255,0,1260.585,0.004,356.438,0,896.117,0,563.471,-2.086,0,-0.001,-33.408,1649.014,1658.815,121.777,10.709,3440.315,3442.57,2287.09,500,50.58,6280.24,46686,5107,16275.768,432.002,16707,77,74.2,38.1,34.78 +2023/09/10 12:00,,21667.256,25894.914,21188.281,22004.599,25735.623,1514.162,83.046,18165.665,912.138,0,1270.45,0.004,206.436,0,816.318,0,585.073,-2.092,0,-0.001,-32.439,1801.817,1676.808,114.22,10.726,3603.571,3442.57,2287.09,500,50.58,6280.24,46686,5107,16285.41,499.938,16785,347,73.8,38.1,33.92 +2023/09/10 13:00,,21102.836,25376.919,20718.136,21440.649,25293.937,1442.114,127.618,18027.384,912.003,0,1099.225,0.004,-1.605,0,722.513,0,590.522,-2.092,-0.133,-0.001,-34.789,1980.044,1612.261,119.746,10.863,3722.914,3442.57,2287.09,500,50.58,6280.24,46686,5107,16331.704,473.76,16805,464,73.8,38.1,33.43 +2023/09/10 14:00,,20942.355,25198.749,20676.466,21356.569,25146.263,1397.667,134.764,18036.243,912.228,0,838.435,0.004,199.065,0,680.102,0,593.499,-2.09,-1.733,-0.001,-33.948,2051.923,1472.714,122.565,10.866,3658.068,3442.57,2287.09,500,50.58,6280.24,46686,5107,16293.948,467.865,16761,813,73.8,38.1,33.33 +2023/09/10 15:00,,21044.688,25162.043,20895.976,21471.334,25212.651,1445.702,125.406,17821.748,912.248,0,906.405,0.004,563.641,0,575.358,0,598.48,-2.095,-1.6,-0.001,-28.26,2061.262,1271.161,266.475,10.838,3609.736,3442.57,2287.09,500,50.58,6280.24,46686,5107,16434.821,491.198,16926,19,73.4,38.1,33.33 +2023/09/10 16:00,,21760.43,25514.875,20036.092,22412.049,25764.175,1655.298,118.512,17443.193,911.956,0,854.07,0.004,207.398,0,2375.957,0,606.179,-2.106,-1.733,-0.001,-101.38,2032.106,858.968,319.695,10.042,3220.811,3442.57,2287.09,500,50.58,6280.24,46686,5107,16797.011,501.274,17298,285,72.6,36.9,32.85 +2023/09/10 17:00,,23284.565,26495.159,21013.743,23768.694,26563.459,1582.965,124.552,17302.133,912.166,0,887.9,0.004,1198.692,0,2754.951,0,608.902,-2.115,-0.8,-0.001,-17.689,2023.875,282.274,344.232,10.288,2660.669,3442.57,2287.09,500,50.58,6280.24,46686,5107,16927.379,479,17406,379,72.2,36.9,32.7 +2023/09/10 18:00,,25884.572,28716.548,22922.021,26236.424,28667.873,1588.357,117.625,17387.232,912.086,0,1186.405,526.127,2193.785,0,3314.402,0,610.735,-2.1,0,-0.003,-9.87,1951.564,7.044,328.524,10.256,2297.388,3442.57,2287.09,500,50.58,6280.24,46686,5107,16844.973,479,17323,973,70.6,36.1,30.94 +2023/09/10 19:00,,25874.756,28597.732,21880.211,25657.072,28062.458,1488.006,104.401,17363.448,912.192,0,1156.24,226.15,1523.677,0,3776.861,0,615.168,-2.108,0,-0.001,-18.956,1931.492,0,329.45,10.707,2271.649,3442.57,2287.09,500,50.58,6280.24,46686,5107,16852.587,479,17331,587,68.2,34.1,28.25 +2023/09/10 20:00,,24103.411,26774.114,21062.242,24130.672,26582.297,1419.511,107.967,17206.563,912.052,0,1131.505,0.004,1113.73,0,3068.429,0,617.831,-2.12,0,-0.003,-25.286,1982.213,0,322.088,10.88,2315.181,3442.57,2287.09,500,50.58,6280.24,46686,5107,17062.711,479,17541,711,67,33.7,25.8 +2023/09/10 21:00,,22060.066,24603.673,19594.105,22282.903,24354.351,1332.298,116.08,17185.564,912.896,0,1136.63,0.004,6.975,0,2688.798,0,618.026,-2.131,0,-0.003,-379.935,1744.926,0,181.188,11.449,1937.563,3442.57,2287.09,500,50.58,6280.24,46686,5049.967,17308.581,321.1,17629,681,65.1,32.9,23.87 +2023/09/10 22:00,,20496.828,22797.946,18929.564,21006.2,22804.354,1339.776,62.483,17124.351,912.778,0,1118.435,0.004,-9.632,0,2076.636,0,621.254,-2.13,0,-0.003,-897.976,1645.047,0,4.588,11.709,1661.344,3442.57,2287.09,500,50.58,6280.24,46686,5048,17400.302,310,17710,302,65.6,33.7,24.15 +2023/09/10 23:00,,19298.673,21497.878,17711.546,19563.01,21473.289,1377.41,47.649,17179.305,913.274,0,1177.63,0.004,-2.364,0,1851.464,0,620.865,-2.124,0,-0.003,-2222.69,1759.821,0,0,11.68,1771.501,3442.57,2287.09,500,50.58,6280.24,46686,5048,17446.537,310,17756,537,66,35.5,24.92 +2023/09/11 00:00,,18803.507,20975.469,17439.904,19139.289,20999.502,1387.899,413.878,16918.467,913.039,0,1005.265,0.004,-1.8,0,1699.386,0,622.358,-2.126,-0.147,-0.003,-2429.032,1713.47,0,0,10.987,1724.457,3442.57,2287.09,500,50.58,6280.24,46686,5048,17639.496,310,17949,496,68.2,36.9,27.18 +2023/09/11 01:00,,18458.756,20608.487,16929.463,18634.498,20544.19,1350.364,1114.522,16822.731,913.092,0,58.75,0.004,-2.534,0,1705.035,0,613.685,-2.137,-3.466,-0.003,-2585.182,1768.154,0,0,10.982,1779.136,3442.57,2287.09,500,50.58,6280.24,46686,5073.667,17678.926,310,17988,926,69.8,38.5,30.15 +2023/09/11 02:00,,18489.669,20704.211,17220.735,18875.755,20694.047,1348.868,1326.621,16974.207,913.209,0,0,0.004,0,0,1655.02,0,626.846,-2.139,-3.479,-0.002,-2614.532,1683.466,0,0,10.157,1693.623,3442.57,2287.09,500,50.58,6280.24,46686,4988,17572.919,310,17882,919,71.8,40.3,33.14 +2023/09/11 03:00,,18775.467,20977.167,17296.3,19091.378,20883.016,1286.788,1322.644,17122.857,913.53,0,0,0.004,0,0,1795.077,0,624.065,-2.155,-3.479,-0.003,-2681.164,1654.508,0,0,10.265,1664.773,3442.57,2287.09,500,50.58,6280.24,46686,4988,17356.827,310,17666,827,73.4,42,36.4 +2023/09/11 04:00,,20230.583,22284.988,18879.711,20693.687,22438.045,1412.039,1331.176,17383.103,911.828,0,614.235,0.004,-4.189,0,1813.976,0,627.067,-2.167,-2.039,-0.003,-1979.303,1603.521,0,0,10.384,1613.905,3442.57,2287.09,500,50.58,6280.24,46686,4988,17215.94,310,17525,94,75.8,43.7,39.56 +2023/09/11 05:00,,23453.951,25433.557,21808.248,23777.208,25405.214,1454.398,1341.297,17856.74,911.88,0,986.53,4.004,410.21,0,1968.96,0,628.673,-2.179,-1.733,-0.003,-327.172,1488.927,0.001,0,10.637,1499.565,3442.57,2287.09,500,50.58,6280.24,46686,4988,16521.297,310,16831,297,77.4,44,42.12 +2023/09/11 06:00,,25764.838,27721.642,23866.836,26061.187,27808.136,1423.872,1379.674,17937.748,912.307,0,877.29,243.004,1901.788,0,2194.351,0,629.01,-2.168,-1.733,-0.002,-10.082,1590.058,18.57,0,12.375,1621.003,3442.57,2287.09,500,50.58,6280.24,46686,4988,16663.652,310,16973,652,75.4,44,41.94 +2023/09/11 07:00,,24637.021,26959.363,22873.807,24928.972,27070.991,1357.758,1409.634,18144.859,912.486,0,857.445,488.616,469.903,0,2055.165,0,623.457,-2.157,-1.733,-0.001,-28.702,1582.022,421.224,0,12.159,2015.405,3442.57,2287.09,500,50.58,6280.24,46686,4988,16524.579,310,16834,579,75,42.5,38.88 +2023/09/11 08:00,,24425.648,27413.485,22348.347,24615.425,27377.221,1380.544,1375.861,18226.795,912.502,0,903.78,212.545,138.614,0,2267.077,0,616.753,-2.169,-1.733,-0.001,-34.601,1626.001,994.47,4.349,11.204,2636.024,3442.57,2287.09,500,50.58,6280.24,46686,4988,16432.957,310,16742,957,75,42,38.14 +2023/09/11 09:00,,23793.209,27272.832,21725.715,23987.253,27223.28,1407.624,1395.976,18169.906,912.517,0,551.69,123.216,-1.284,0,2261.538,0,615.199,-2.191,-1.733,-0.001,-37.579,1732.226,1309.643,59.815,11.201,3112.885,3442.57,2287.09,500,50.58,6280.24,46686,4988,16368.078,310,16678,78,74.6,42,38.26 +2023/09/11 10:00,,23637.708,27383.331,21940.685,24050.974,27498.352,1422.953,1367.57,17768.259,912.672,0,277.59,22.004,1003.449,0,2110.289,0,609.145,-2.177,-1.733,-0.001,-16.093,1865.157,1380.473,68.836,11.457,3325.923,3442.57,2287.09,500,50.58,6280.24,46686,4988,16481.529,440.5,16922,29,74.6,42,38.26 +2023/09/11 11:00,,23358.854,27344.524,21223.972,23470.602,27311.845,1413.575,1338.404,17520.942,912.451,0,302.195,0.004,572.425,0,2246.629,0,606.088,-2.161,-1.866,-0.001,-24.508,2102.069,1510.144,103.637,11.771,3727.621,3442.57,2287.09,500,50.58,6280.24,46686,4988,16504.341,624.967,17129,308,73.4,40.9,37.1 +2023/09/11 12:00,,22990.632,27108.868,20525.55,23224.222,27311.847,1474.727,1370.869,17375.482,911.48,0,280.63,0.004,106.386,0,2698.672,0,518.612,-2.168,-1.733,-0.001,-34.011,2349.744,1536.389,91.525,11.846,3989.504,3442.57,2287.09,500,50.58,6280.24,46686,4988,16421.325,708.933,17130,258,72.2,40.9,36.24 +2023/09/11 13:00,,22776.922,26962.258,20402.586,23146.237,27088.641,1345.903,1367.591,17401.942,911.903,0,304.09,0.004,146.561,0,2743.65,0,304.681,-2.171,-1.733,-0.001,-30.281,2345.076,1402.34,83.618,11.939,3842.973,3442.57,2287.09,500,50.58,6280.24,46686,4988,16291.775,742.667,17034,442,72.2,40.9,36.08 +2023/09/11 14:00,,23055.569,27151.249,20726.954,23662.331,27526.426,1386.599,1373.92,16811.457,912.055,0,304.58,0.004,1042.146,0,2935.377,0,308.165,-2.158,-1.733,-0.001,-21.481,2245.998,1353.803,148.624,11.915,3760.34,3442.57,2287.09,500,50.58,6280.24,46686,4988,17271.699,750,18021,699,71.8,40.9,36.08 +2023/09/11 15:00,,23694.115,27640.9,21690.361,24513.472,28231.842,1408.477,1381.836,16318.879,911.878,0,535.47,0.004,2103.85,0,2823.111,0,452.998,-2.169,-1.333,-0.001,-11.051,2154.5,1239.839,202.625,12.036,3609,3442.57,2287.09,500,50.58,6280.24,46686,4988,17908.836,817.767,18726,603,70.6,40.3,34.47 +2023/09/11 16:00,,24657.64,28302.566,22508.859,25411.896,28951.609,1470.441,1371.611,16351.385,911.543,0,1492.76,0.004,1786.509,0,2903.037,0,610.051,-2.177,0,-0.001,-12.824,2181.294,956.664,275.31,11.6,3424.868,3442.57,2287.09,500,50.58,6280.24,46686,4988,17682.071,858,18540,71,68.2,38.5,31.03 +2023/09/11 17:00,,26234.734,29336.935,23897.543,27052.267,29976.407,1571.916,1397.42,16504.814,911.776,135.31,1758.78,40.003,2178.031,37.25,3117.475,0,977.156,-1.161,0,-0.002,-4.585,2046.809,411.792,337.695,11.569,2807.865,3442.57,2287.09,500,50.58,6280.24,46686,4988,17464.549,922.167,18386,715,66,36.9,29.38 +2023/09/11 18:00,,28656.697,31241.108,25338.836,29477.094,31891.064,1674.674,1361.159,16905.714,911.748,327.517,1732.245,497.002,2618.195,409.75,3489.508,239,986.897,0,0,-0.003,-1.639,1967.738,12.427,304.723,11.065,2295.953,3442.57,2287.09,500,50.58,6280.24,46686,4988,17143.257,899.4,18042,657,63.7,34.9,26.44 +2023/09/11 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01:00,,20245.589,21674.503,18068.109,20494.896,22002.077,1203.173,1277.616,18072.469,911.639,0,239.39,0.004,0,0,2426.787,0,329.507,-2.196,-1.786,-0.002,-2758.531,1340.29,0,39.799,10.702,1390.791,3442.57,2287.09,500,50.58,6280.24,46686,5032,16729.657,190,16919,657,58,26.2,29.29 +2023/09/13 02:00,,20187.075,21661.282,17924.157,20373.292,21962.969,1203.171,1286.435,18151.519,912.322,0,248.26,0.004,0,0,2449.135,0,39.406,-2.195,-1.786,-0.002,-2709.805,1412.564,0,39.812,10.808,1463.184,3442.57,2287.09,500,50.58,6280.24,46686,5032,16514.734,190,16704,734,59.9,27.8,32.56 +2023/09/13 03:00,,20519.641,21970.291,18079.938,20664.601,22222.81,1222.602,1293.264,18217.482,911.829,0,0.675,0.004,-1.102,0,2584.663,0,0,-2.202,-1.813,-0.003,-2338.197,1377.253,0,39.825,10.756,1427.834,3442.57,2287.09,500,50.58,6280.24,46686,5032,16425.064,190,16615,64,62.4,29.7,35.81 +2023/09/13 04:00,,22157.416,23631.494,19684.464,22539.359,24099.04,1298.428,1304.498,18552.373,911.856,0,3.25,0.004,-7.362,0,2854.895,0,2.046,-2.198,-3.586,-0.003,-1076.416,1402.117,0,20.521,10.457,1433.095,3442.57,2287.09,500,50.58,6280.24,46686,5032,16010.545,190,16200,545,64.7,31,38.43 +2023/09/13 05:00,,25105.643,26653.658,22144.904,25700.648,27313.722,1464.259,1303.1,18494.741,912.304,0,365.465,4.004,815.71,0,3555.744,0,284.108,-2.199,-1.786,-0.003,-30.54,1478.273,0,0,10.662,1488.935,3442.57,2287.09,500,50.58,6280.24,46686,5032,16232.658,190,16422,658,66,31.4,39.28 +2023/09/13 06:00,,27027.382,28737.539,22604.477,27696.699,29694.606,1445.427,1372.834,18362.919,912.262,0,420.515,243.004,979.917,0,5092.222,0,335.59,-2.206,-1.773,-0.002,-18.582,1836.69,22.014,0,9.976,1868.68,3442.57,2287.09,500,50.58,6280.24,46686,5032,16234.27,190,16424,27,65.1,30.6,38.09 +2023/09/13 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10:00,,24443.526,28386.845,20199.526,25227.579,29260.817,1420.733,1515.587,18375.491,912.069,0,0,0.004,-4.023,0,5028.052,0,0,-2.137,-3.466,-0.002,-593.996,1873.07,1758.107,259.795,10.821,3901.793,3442.57,2287.09,500,50.58,6280.24,46686,5032,16043.648,190,16233,648,63.7,27,35.39 +2023/09/13 11:00,,24069.226,28158.455,19266.574,24483.26,28764.22,1391.349,1599.951,17978.226,912.618,0,0,0.004,-6.901,0,5216.686,0,0,-2.141,-3.466,-0.002,-1211.715,2085.004,1824.152,229.001,11.537,4149.694,3442.57,2287.09,500,50.58,6280.24,46686,5032,16260.03,190,16450,3,64.2,27.8,35.71 +2023/09/13 12:00,,23746.455,27878.969,19410.444,24261.058,28726.629,1539.472,1611.322,17849.385,915.909,0,0,0.004,-5.116,0,4850.614,0,0,-2.126,-3.319,-0.002,-955.612,2268.957,1835.992,257.235,11.366,4373.55,3442.57,2287.09,500,50.58,6280.24,46686,5032,16415.766,190,16605,766,65.6,29,36.77 +2023/09/13 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01:00,,20607,22600.352,17545.422,20319.445,22390.068,1394.018,1315.406,18025.421,911.733,0,0,0.004,-1.964,0,2774.023,0,0,-2.172,-3.519,-0.002,-2699.485,1935.149,0,38.549,9.47,1983.168,3442.57,2287.09,500,50.58,6280.24,46686,4426,16786.057,190,16976,57,67.8,29,37.21 +2023/09/15 02:00,,20501,22616.096,17381.985,20224.538,22332.454,1311.54,1274.852,17982.679,911.979,0,0,0.004,0,0,2842.553,0,0,-2.166,-3.519,-0.002,-2781.841,1972.254,0,38.618,9.106,2019.978,3442.57,2287.09,500,50.58,6280.24,46686,4563.7,16260.393,190,16450,393,69.8,31,40.26 +2023/09/15 03:00,,20795,23006.634,17405.004,20412.909,22670.32,1334.665,1048.734,18216.11,911.9,0,0,0.004,0,0,3007.904,0,0,-2.186,-3.519,-0.002,-2766.036,2120.409,0,38.876,8.995,2168.28,3442.57,2287.09,500,50.58,6280.24,46686,4732,15817.199,190,16007,199,72.2,32.5,43.49 +2023/09/15 04:00,,22252,24578.58,18761.005,22043.045,24439.861,1368.121,1297.502,18840.407,912.356,0,0,0.004,-1.254,0,3282.039,0,0,-2.226,-3.359,-0.002,-2282.424,2253.782,0,38.878,9.266,2301.926,3442.57,2287.09,500,50.58,6280.24,46686,4732,15726.86,190,15916,86,74.2,34.9,46.77 +2023/09/15 05:00,,25277,27623.652,20741.401,24926.492,27500.079,1358.457,1328.409,19258.656,912.527,0,0,2.004,8.478,0,4185.091,0,0,-2.194,-3.506,-0.002,-762.972,2462.058,0.018,5.723,9.412,2477.211,3442.57,2287.09,500,50.58,6280.24,46686,4732,15557.375,190,15747,375,76.2,35.7,49.32 +2023/09/15 06:00,,27263,29609.516,22272.876,26511.077,29137.265,1369.492,1334.207,19235.159,911.934,0,0,239.004,583.143,0,4238.202,0,0,-2.215,-3.479,-0.002,-24.876,2478.238,42.407,0,9.676,2530.321,3442.57,2287.09,500,50.58,6280.24,46686,4732,15450.767,190,15640,767,77.4,35.7,49.94 +2023/09/15 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13:00,,23298,28345.324,19044.205,22772.347,27983.772,1635.272,1506.166,18436.972,910.324,0,0,0.004,-0.813,0,3728.142,0,0,-2.109,-3.519,-0.001,-1802.82,2846.856,1800.827,472.119,9.962,5129.764,3442.57,2287.09,500,50.58,6280.24,46686,4601,15695.5,979.3,16674,8,84.2,41.7,52.89 +2023/09/15 14:00,,23216,28227.946,19670.085,22639.029,27773.778,1699.679,1548.54,18335.304,910.911,0,0,0.004,-2.073,0,2968.944,0,0,-2.084,-3.492,-0.001,-1117.023,2894.33,1730.857,427.786,9.932,5062.905,3442.57,2287.09,500,50.58,6280.24,46686,4601,15402.392,1056.717,16459,108,85.8,43.3,54.48 +2023/09/15 15:00,,23509,28438.734,19495.627,22710.641,27786.543,1675.637,1551.755,18154.26,911.374,0,0,0.004,-5.908,0,3215.014,0,0,-2.081,-3.492,-0.001,-1110.285,2988.428,1565.824,429.516,9.668,4993.436,3442.57,2287.09,500,50.58,6280.24,46686,4601,15306.332,1126.25,16432,582,87,44,55.44 +2023/09/15 16:00,,24480,29058.06,20502.839,23786.322,28448.623,1555.69,1451.454,18223.805,912.418,0,0,0.004,105.27,0,3283.483,0,0,-2.084,-3.479,-0.001,-184.548,2991.955,1147.425,430.42,8.917,4578.717,3442.57,2287.09,500,50.58,6280.24,46686,4601,15245.059,1213.8,16458,859,88.2,46,56.03 +2023/09/15 17:00,,25778,29569.654,21440.479,24874.953,28902.314,1462.189,1354.631,18503.262,911.815,0,0,0.004,703.161,0,3434.474,0,0,-2.107,-3.506,-0.001,-26.78,3080.051,437.074,414.058,9.283,3940.466,3442.57,2287.09,500,50.58,6280.24,46686,4601,15110.456,1246,16356,456,88.6,46,55.51 +2023/09/15 18:00,,27760,31011.971,23115.14,27041.023,30463.33,1543.51,1336.006,18712.079,912.083,0,0,285.472,1885.542,0,3590.882,335,0,-2.126,-3.492,-0.001,-10.423,2940.586,13.845,371.371,10.133,3335.935,3442.57,2287.09,500,50.58,6280.24,46686,4601,15131.488,1246,16377,488,88.6,46,53.39 +2023/09/15 19:00,,27517,30590.808,22655.72,26688.589,29674.27,1447.831,1310.601,18764.715,911.677,0,0,511.303,1179.795,0,3865.369,167.5,0,-2.132,-3.506,0,-16.733,2546.702,0,343.042,11.151,2900.895,3442.57,2287.09,500,50.58,6280.24,46686,4601,15180.922,1182,16362,922,86.6,44.8,50.56 +2023/09/15 20:00,,26160,29105.266,22859.266,25857.051,28749.742,1445.113,1364.316,18950.792,911.521,0,0,138.252,1508.81,0,2997.785,0,0,-2.14,-3.506,-0.002,-8.778,2453.327,0,341.339,11.125,2805.791,3442.57,2287.09,500,50.58,6280.24,46686,4601,15371.461,910.867,16282,328,86.2,44,47.43 +2023/09/15 21:00,,24552,27452.141,21388.407,24139.544,26996.692,1370.234,1380.951,18786.427,911.554,0,0,0.004,396.069,0,2751.137,0,0,-2.138,-3.639,-0.002,-80.819,2448.094,0,314.95,11.074,2774.118,3442.57,2287.09,500,50.58,6280.24,46686,4601,15455.579,705.833,16161,413,85.8,43.7,44.44 +2023/09/15 22:00,,22909,25481.909,20223.531,22507.219,25086.065,1354.745,1299.167,18880.407,911.435,0,0,0.004,-7.435,0,2283.688,0,0,-2.147,-3.519,-0.002,-854.379,2447.692,0,42.65,10.647,2500.989,3442.57,2287.09,500,50.58,6280.24,46686,4601,15469.954,590.5,16060,454,85.8,43.3,43.42 +2023/09/15 23:00,,21482,23942.65,18927.163,20885.43,23557.601,1339.93,1288.837,18936.156,911.845,0,0,0.004,-4.002,0,1958.267,0,0,-2.162,-3.492,-0.002,-2200.019,2541.782,0,39.013,10.209,2591.004,3442.57,2287.09,500,50.58,6280.24,46686,4601,15460.201,581,16041,201,87,44.8,43.93 +2023/09/16 00:00,,19862,22291.868,18319.84,19920.019,22615.711,1204.145,1284.597,18512.971,911.677,0,0,0.004,-3.353,0,1600.18,0,0,-2.175,-3.626,-0.002,-2380.254,2561.329,0,39.029,8.556,2608.914,3442.57,2287.09,500,50.58,6280.24,46686,4601,15983.186,581,16564,186,89.4,46,45.92 +2023/09/16 01:00,,19407,21828.22,17878.517,19432.594,22158.117,1186.878,1290.182,18398.785,911.994,0,0,0.004,0,0,1554.077,0,0,-2.177,-3.506,-0.002,-2716.762,2574.984,0,38.99,8.617,2622.591,3442.57,2287.09,500,50.58,6280.24,46686,4601,16217.588,461.15,16678,738,91.2,47.6,49.05 +2023/09/16 02:00,,19336,21722.639,18176.961,19070.431,21909.344,1227.551,1301.991,18294.996,912.235,0,0,0.004,-2.868,0,893.47,0,0,-2.182,-3.506,-0.003,-2323.707,2658.418,0,38.282,8.72,2705.42,3442.57,2287.09,500,50.58,6280.24,46686,4601,16287.32,426.8,16714,12,93.3,49.6,51.82 +2023/09/16 03:00,,19328,21746.595,18057.362,18665.978,21483.763,1236.257,1303.856,18306.885,912.333,0,0,0.004,0,0,608.616,0,0,-2.187,-3.506,-0.003,-2460.021,2633.916,0,38.004,8.75,2680.67,3442.57,2287.09,500,50.58,6280.24,46686,4601,16301.517,375.4,16676,917,95.1,51.2,54.41 +2023/09/16 04:00,,19882,22347.726,18745.301,19314.881,22128.229,1270.544,1314.711,18767.409,912.26,0,0,0.004,-1.161,0,569.58,0,0,-2.194,-3.639,-0.003,-2242.088,2642.249,0,26.857,8.719,2677.825,3442.57,2287.09,500,50.58,6280.24,46686,4601,16149.119,190,16339,119,96.6,53.2,57.54 +2023/09/16 05:00,,20730,23243.937,19139.742,20034.874,22805.772,1277.236,1342.197,18940.568,912.178,0,0,4.004,-2.271,0,895.132,0,0,-2.163,-4.306,-0.003,-2050.461,2623.251,0.029,1.038,9.093,2633.411,3442.57,2287.09,500,50.58,6280.24,46686,4601,15838.875,190,16028,875,97.8,53.2,60.56 +2023/09/16 06:00,,22076,24638.95,20681.179,21598.333,24405.131,1323.454,1371.051,19134.326,912.202,0,0,232.003,-8.991,0,917.154,0,0,-2.176,-3.506,-0.002,-953.728,2614.721,44.04,0,10.189,2668.95,3442.57,2287.09,500,50.58,6280.24,46686,4601,15712.67,190,15902,67,102,55.9,63.52 +2023/09/16 07:00,,23616,26626.27,21671.008,22913.464,26198.42,1341.632,1420.845,19245.629,911.999,0,0,417.965,-8.846,0,1242.456,0,0,-2.184,-2.706,-0.003,-311.691,2563.935,575.374,0,10.945,3150.254,3442.57,2287.09,500,50.58,6280.24,46686,4808.2,15625.43,189,15814,43,102,57.5,64.99 +2023/09/16 08:00,,24107,27921.674,21975.986,23393.39,27462.51,1349.822,1442.433,19373.842,911.911,0,0,249.648,39.041,0,1417.404,0,0,-2.142,-1.76,0,-36.987,2652.15,1210.1,60.689,9.415,3932.354,3442.57,2287.09,500,50.58,6280.24,46686,5045,15078.018,255,15333,18,102,57.5,65.49 +2023/09/16 09:00,,23626,27960.704,21447.051,22958.303,27423.143,1385.917,1442.113,18500.029,911.7,0,0,168.197,456.963,0,1511.251,0,0,-2.131,-1.76,-0.001,-28.059,2619.783,1605.088,93.885,9.34,4328.096,3442.57,2287.09,500,50.58,6280.24,46686,5045,15188.787,270,15458,787,102,57.5,65.24 +2023/09/16 10:00,,23000,27701.916,21056.49,22301.18,26914.178,1395.586,1458.76,18370.701,911.427,0,0,4.004,343.73,0,1244.691,0,0,-2.122,-1.773,-0.001,-28.237,2549.802,1733.709,184.656,9.649,4477.816,3442.57,2287.09,500,50.58,6280.24,46686,5045,15233.397,270,15503,397,98.1,58.5,64.83 +2023/09/16 11:00,,22462,27155.616,21675.575,21676.4,26584.728,1454.156,1580.318,18157.664,911.309,0,0,0.004,1049.84,0,0,0.825,0,-2.105,-1.733,-0.001,-19.722,2555.926,1886.656,323.67,10.707,4776.959,3442.57,2287.09,500,50.58,6280.24,46686,5045,15134.949,412.267,15547,216,97.5,56.7,64.75 +2023/09/16 12:00,,22023,26780.946,21327.862,21327.862,26177.339,1447.498,1532.332,17981.607,911.442,0,0,0.004,922.08,0,0,0,0,-2.107,-1.773,-0.001,-15.722,2518.952,1856.37,328.335,10.68,4714.337,3442.57,2287.09,500,50.58,6280.24,46686,5045,15166.32,667,15833,32,96,55.9,63.36 +2023/09/16 13:00,,21606,26433.51,20818.326,20818.326,25762.969,1428.802,1522.729,17722.633,911.456,0,0,0.004,689.714,0,0,0,0,-2.104,-1.773,-0.001,-24.331,2643.998,1838.873,313.587,10.881,4807.339,3442.57,2287.09,500,50.58,6280.24,46686,5045,15205.556,667,15872,556,95.4,55.2,61.75 +2023/09/16 14:00,,21448,26281.563,20604.567,20604.567,25480.162,1415.865,1448.005,17464.533,908.79,0,0,0.004,805.669,0,0,0,0,-2.104,-1.786,-0.001,-18.542,2639.344,1729.119,361.276,10.809,4740.548,3442.57,2287.09,500,50.58,6280.24,46686,5045,15205.556,667,15872,556,94.5,54.4,60.56 +2023/09/16 15:00,,21579,26287.433,20550.506,20550.506,25443.634,1498.564,1499.681,17417.3,909.047,0,50.61,0.004,703.961,0,0,0,0,-2.109,-1.786,-0.001,-26.201,2748.897,1544.143,454.099,10.773,4757.912,3442.57,2287.09,500,50.58,6280.24,46686,5045,15205.556,711.167,15916,723,94.2,53.2,59.39 +2023/09/16 16:00,,22319,26570.4,21403.227,21403.227,25814.945,1384.176,1438.08,17852.76,909.05,0,0.435,0.004,1229.58,0,0,0,0,-2.135,-1.773,-0.001,-22.773,2744.709,1050.719,469.289,11.024,4275.741,3442.57,2287.09,500,50.58,6280.24,46686,5045,15197.829,773,15970,829,93.3,52.8,58.38 +2023/09/16 17:00,,23773,27287.687,23056.982,23056.982,26760.76,1374.902,1384.245,18748.033,909.288,0,0,132.734,1896.105,0,0,0,0,-2.15,-2.426,-0.001,-8.847,2707.395,411.588,434.878,11.068,3564.929,3442.57,2287.09,500,50.58,6280.24,46686,4712,15362.99,773,16135,99,92.4,51.2,56.56 +2023/09/16 18:00,,26137,29024.101,24567.951,25803.946,28820.184,1442.61,1402.5,19062.919,909.284,0,0,501.426,2697.448,0,1235.995,0,0,-2.147,-3.479,0,0,2486.501,14.432,362.908,10.975,2874.816,3442.57,2287.09,500,50.58,6280.24,46686,4601,15544.263,773,16317,263,90.6,49.6,53.97 +2023/09/16 19:00,,25908,28589.418,23839.887,25926.817,28514.756,1401.462,1373.463,18900.726,908.878,0,0,411.184,2251.739,0,2086.93,0,0,-2.145,-3.492,-0.001,-0.465,2092.052,0,345.137,11.011,2448.2,3442.57,2287.09,500,50.58,6280.24,46686,4601,15689.366,773,16462,366,87.4,47.2,50.01 +2023/09/16 20:00,,24444,26897.799,22900.553,24574.02,27026.077,1356.711,1341.209,18830.148,908.785,0,0,4.004,1827.031,0,1673.466,0,0,-2.159,-3.519,-0.003,-4.944,1962.213,0,338.705,10.999,2311.917,3442.57,2287.09,500,50.58,6280.24,46686,4601,15585.817,773,16358,817,84.2,46,46.77 +2023/09/16 21:00,,22857,25135.997,21903.316,22817.288,24886.306,1311.795,1422.43,18556.787,908.836,0,0,0.004,1036.62,0,913.973,0,0,-2.156,-3.519,-0.003,-15.684,1607.682,0,307.967,10.192,1925.841,3442.57,2287.09,500,50.58,6280.24,46686,4601,15670.391,773,16443,391,82.2,44.8,43.74 +2023/09/16 22:00,,21647,23539.847,20799.149,21401.173,23047.646,1233.78,1332.84,18177.234,909.027,0,0,0.004,407.027,0,602.024,0,0,-2.155,-3.519,-0.003,-21.305,1454.61,0,41.005,10.547,1506.162,3442.57,2287.09,500,50.58,6280.24,46686,4601,15399.774,831,16230,774,81.8,44.8,41.39 +2023/09/16 23:00,,20434,22179.783,19621.267,20147.218,21806.503,1199.637,1309.696,18027.212,908.971,0,0,0.004,-4.292,0,525.951,0,0,-2.164,-3.532,-0.003,-614.624,1469.556,0,37.627,10.884,1518.067,3442.57,2287.09,500,50.58,6280.24,46686,4601,15191.224,831,16022,224,81.4,44,40.21 +2023/09/17 00:00,,19185.554,20886.343,19027.777,19027.777,20675.329,1236.756,1297.624,18103.289,910.471,0,0,0.004,-2.983,0,0,0,0,-2.169,-3.519,-0.003,-1274.936,1469.029,0,31.545,9.157,1509.731,3442.57,2287.09,500,50.58,6280.24,46686,4695.417,15040.209,798.883,15839,92,81.8,46,40.5 +2023/09/17 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01:00,,19551,20284.046,19171.335,20054.987,20450.734,1236.929,1262.048,19685.468,908.269,0,0,0.004,0,0,697.403,186.25,0,-2.181,-3.652,-0.003,-2678.619,206.898,0,39.096,11.441,257.435,3442.57,2287.09,500,50.58,6280.24,46686,3847,14729.061,270,14999,61,84.2,46.8,40.15 +2023/09/18 02:00,,19658,20368.385,19023.066,19918.322,20372.354,1193.72,1272.912,19583.902,907.993,0,0,0.004,0,0,701.556,193.7,0,-2.175,-3.532,-0.003,-2736.035,265.385,0,38.747,11.772,315.904,3442.57,2287.09,500,50.58,6280.24,46686,3715.9,14380.038,270,14650,38,86.6,48,43.55 +2023/09/18 03:00,,19805,20500.935,19590.732,20298.918,20847.76,1230.019,1260.653,20185.13,907.937,0,0,0.004,0,0,708.185,0,0,-2.19,-3.679,-0.002,-2757.12,361.019,0,38.63,11.466,411.115,3442.57,2287.09,500,50.58,6280.24,46686,3749,14262.381,270,14532,381,89,50,46.64 +2023/09/18 04:00,,21422,22125.19,20702.722,21492.022,22109.176,1231.594,1271.081,20785.574,908.227,0,0,0.004,-1.281,0,789.3,0,0,-2.191,-3.666,-0.002,-2255.024,431.686,0,39.01,10.557,481.253,3442.57,2287.09,500,50.58,6280.24,46686,3749,14380.41,270,14650,41,90.8,52,49.94 +2023/09/18 05:00,,24424,25143.232,24072.493,25012.747,25663.992,1466.081,1313.518,21353.681,908.693,0,0,18.004,633.892,0,940.254,0,0,-2.198,-3.532,-0.002,-149.561,498.991,0.026,7.415,10.563,516.995,3442.57,2287.09,500,50.58,6280.24,46686,3749,14378.161,340.667,14718,827,93,53.6,52.46 +2023/09/18 06:00,,26681,27526.137,25979.605,27039.037,27823.25,1374.886,1349.929,21683.764,908.543,0,0,243.003,1812.777,0,1059.432,0,0,-2.193,-3.532,-0.002,-12.685,588.359,50.328,0,11.723,650.41,3442.57,2287.09,500,50.58,6280.24,46686,3749,14051.318,350,14401,318,92.1,52.8,52.18 +2023/09/18 07:00,,25398,26930.129,24847.665,25877.266,27352.896,1286.375,1376.809,21867.054,908.573,0,0,491.324,240.736,0,1029.601,0,0,-2.167,-3.399,0,-31.263,603.349,668.883,59.005,12.409,1343.646,3442.57,2287.09,500,50.58,6280.24,46686,3749,13767.663,350,14117,663,90.3,50.8,49.53 +2023/09/18 08:00,,25027,27392.431,24798.329,25850.916,28056.368,1330.876,1374.713,21954.791,908.531,0.021,0,222.632,367.284,0,1052.587,0,0,-2.017,-3.506,0,-24.121,444.304,1382.006,236.304,12.427,2075.041,3442.57,2287.09,500,50.58,6280.24,46686,3749,13653.466,350,14003,466,90.3,50,49.05 +2023/09/18 09:00,,24452,27305.387,24159.448,25207.822,27803.671,1357.921,1364.246,21648.442,908.183,0,0,122.004,151.659,0,1048.375,0,0,-2.092,-3.532,-0.001,-29.46,400.301,1673.588,370.713,12.036,2456.638,3442.57,2287.09,500,50.58,6280.24,46686,3903.383,13604.073,350,13954,73,90,50,48.57 +2023/09/18 10:00,,24494,27583.422,23437.049,24655.004,27537.008,1428.905,1400.87,21249.357,907.708,0,0,0.004,-0.085,0,1217.955,0,0,-1.979,-3.532,-0.001,-115.293,436.94,1837.884,456.563,12.143,2743.53,3442.57,2287.09,500,50.58,6280.24,46686,3906,13719.702,350,14069,702,89.4,50,48.57 +2023/09/18 11:00,,24164,27410.607,22655.104,24042.635,27163.012,1455.942,1377.361,21051.895,907.063,0,0,0.004,-3.177,0,1387.532,0,0,-1.925,-3.519,-0.001,-672.598,586.75,1894.513,488.932,12.576,2982.771,3442.57,2287.09,500,50.58,6280.24,46686,3906,13786.589,350,14136,589,89.7,50,48.57 +2023/09/18 12:00,,24020,27360.649,22688.686,23530.535,26895.156,1420.692,1390.28,21035.986,907.732,0,0,0.004,-1.846,0,841.85,0,0,-1.923,-3.506,-0.001,-638.04,831.117,1894.944,492.81,11.354,3230.225,3442.57,2287.09,500,50.58,6280.24,46686,3906,13709.968,350,14059,968,90.3,50.8,49.39 +2023/09/18 13:00,,23874,27195.881,22408.05,23179.37,26765.146,1418.519,1379.038,20931.504,909.565,0,0,0.004,-1.341,0,771.319,0,0,-1.918,-3.626,-0.001,-805.176,1110.289,1860.62,492.457,10.997,3474.363,3442.57,2287.09,500,50.58,6280.24,46686,3862.95,13705.243,350,14055,243,90.6,50.8,50.15 +2023/09/18 14:00,,24308,27663.73,22522.537,23455.712,27010.455,1416.894,1399.841,20996.935,912.675,0,0,0.004,-1.973,0,933.175,0,0,-1.924,-3.359,-0.001,-779.662,1158.774,1775.042,493.047,11.84,3438.703,3442.57,2287.09,500,50.58,6280.24,46686,3619,13498.305,350,13848,305,91.2,51.2,51.05 +2023/09/18 15:00,,25058,28289.597,23501.033,24431.626,27740.675,1440.964,1413.134,21431.499,913.135,0,0,0.004,-3.053,0,930.593,0,0,-1.91,-3.492,-0.001,-248.282,1105.388,1591.183,492.128,11.835,3200.534,3442.57,2287.09,500,50.58,6280.24,46686,3619,13569.655,350,13919,655,91.8,51.2,51.75 +2023/09/18 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10:00,,23975.384,27403.724,22994.088,22994.121,26566.022,1442.844,1396.051,20052.21,908.283,0,0,10.004,666.375,0,0,0.033,0,-1.903,-3.306,-0.001,-33.627,1193.082,1826.486,483.849,27.555,3530.972,3442.57,2287.09,500,50.58,6280.24,46686,5381,13271.497,330,13601,497,81.8,44.8,43.11 +2023/09/21 11:00,,23530.508,27176.041,22563.117,22565.117,26416.091,1443.977,1409.555,19871.877,908.135,0,0,0.004,403.526,0,0,2,0,-1.898,-3.426,-0.001,-24.655,1410.617,1873.971,488.757,34.767,3808.112,3442.57,2287.09,500,50.58,6280.24,46686,5381,13250.617,330,13580,617,81.4,44,42.31 +2023/09/21 12:00,,23119.231,26996.268,22333.262,22335.262,26228.426,1451.687,1409.615,19778.469,908.29,0,0,0.004,271.501,0,0,2,0.095,-1.899,-3.279,-0.001,-29.533,1491.295,1861.171,486.269,10.882,3849.617,3442.57,2287.09,500,50.58,6280.24,46686,5381,13292.415,330,13622,415,81.4,43.3,41.51 +2023/09/21 13:00,,22988.791,27017.734,22228.169,22230.169,26270.441,1438.834,1432.047,19749.158,909.32,0,0,0.004,173.47,0,0,2,0,-1.906,-3.399,-0.001,-30.524,1704.646,1802.55,479.263,10.849,3997.308,3442.57,2287.09,500,50.58,6280.24,46686,5381,13368.048,330,13698,48,81.4,43.3,40.62 +2023/09/21 14:00,,23281.203,27353.206,22362.822,22364.788,26479.79,1462.973,1396.137,19778.406,908.756,0,0,0.004,309.753,0,0,1.967,0,-1.913,-3.266,-0.001,-25.054,1845.044,1735.45,481.552,10.647,4072.693,3442.57,2287.09,500,50.58,6280.24,46686,5381,13276.973,449.483,13726,457,81.4,43.3,40.21 +2023/09/21 15:00,,24169.974,28067.675,23244.327,23244.327,27172.269,1533.559,1437.076,19617.329,908.357,0,0,0.004,1299.331,0,0,0,0,-1.944,-3.412,-0.001,-12.412,1827.268,1565.277,481.648,10.715,3884.908,3442.57,2287.09,500,50.58,6280.24,46686,5381,13466.54,525,13991,54,80.6,42.5,39.91 +2023/09/21 16:00,,25371.128,28777.592,22600.639,24649.484,28286.684,1549.61,1418.224,19931.945,908.12,0,0,0.004,366.68,0,2048.845,0,0,-2.096,-3.279,-0.001,-18.959,1889.354,1216.545,478.077,10.647,3594.623,3442.57,2287.09,500,50.58,6280.24,46686,5381,13481.822,478.8,13960,622,79,42,38.03 +2023/09/21 17:00,,26637.845,29275.866,23766.73,25974.882,28680.249,1504.234,1390.404,20477.073,908.351,0,0,196.004,818.206,0,2208.152,0,0,-2.112,-3.412,-0.001,-17.783,1701.317,491.645,458.263,10.634,2661.859,3442.57,2287.09,500,50.58,6280.24,46686,5381,13548.833,448,13996,833,79,41.7,37.37 +2023/09/21 18:00,,28996.424,31103.85,25270.308,28231.913,30210.088,1545.065,1363.008,20547.955,908.234,0,0,412.696,2049.392,0,2762.104,199.5,0,-2.135,-3.293,-0.001,-5.548,1508.248,20.527,392.603,12.495,1933.873,3442.57,2287.09,500,50.58,6280.24,46686,5381,13581.86,442.167,14024,27,77.4,41.7,36.34 +2023/09/21 19:00,,28452.938,30574.18,24874.49,27760.513,29657.495,1433.08,1355.378,20594.639,908.323,0,0,421.175,1614.374,0,2686.523,199.5,0,-2.145,-3.452,-0.001,-13.8,1466.65,0,362.78,22.422,1851.852,3442.57,2287.09,500,50.58,6280.24,46686,5381,13552.921,438,13990,921,75.8,38.9,33.04 +2023/09/21 20:00,,26600.067,28676.677,24266.896,26348.862,28058.585,1394.441,1405.772,20685.103,908.33,0,0,150.859,1142.028,0,2081.966,0,0,-2.147,-3.426,-0.002,-19.621,1284.201,0,350.988,29.66,1664.849,3442.57,2287.09,500,50.58,6280.24,46686,5381,13567.067,438,14005,67,73.8,38.1,30.81 +2023/09/21 21:00,,24527.211,26442.234,22366.967,24125.306,25792.187,1351.809,1400.415,20476.404,908.299,0,0,0.004,84.779,0,1758.339,0,0,-2.157,-3.426,-0.002,-497.349,1244.733,0,341.42,35.852,1622.005,3442.57,2287.09,500,50.58,6280.24,46686,5381,13614.435,438,14052,435,72.6,36.9,29.21 +2023/09/21 22:00,,22863.147,24157.311,21201.368,22540.667,23890.352,1403.487,1300.21,20553.026,908.342,0,0,0.004,-3.985,0,1339.298,0,0,-2.152,-3.293,-0.002,-1550.782,1215.294,0,55.777,35.639,1306.71,3442.57,2287.09,500,50.58,6280.24,46686,5381,13737.935,438,14175,935,73,37.7,29.72 +2023/09/21 23:00,,21649.989,22707.564,20512.95,21743.517,22827.973,1332.737,1265.482,20450.528,908.202,0,0,0.004,-5.061,0,1230.567,0,0,-2.161,-3.439,-0.002,-2100.603,963.452,0,42.461,35.312,1041.225,3442.57,2287.09,500,50.58,6280.24,46686,5381,13819.443,424.7,14244,143,74.2,38.9,30.99 +2023/09/22 00:00,,20962.239,21862.802,20251.564,21418.774,22283.965,1315.016,1268.569,20498.082,908.234,0,0,0.004,-3.383,0,1167.21,0,0,-2.156,-3.452,-0.002,-2414.331,747.42,0,39.79,35.078,822.288,3442.57,2287.09,500,50.58,6280.24,46686,5480.167,13614.051,419,14033,51,75.8,40.9,33.33 +2023/09/22 01:00,,20738.877,21533.081,19942.576,21085.058,21842.977,1292.91,1267.176,20288.488,908.074,0,0,0.004,0,0,1142.481,0,0,-2.162,-3.306,-0.002,-2515.694,640.5,0,39.657,35.11,715.267,3442.57,2287.09,500,50.58,6280.24,46686,5731,13326.377,419,13745,377,77.4,42.5,36.29 +2023/09/22 02:00,,20762.317,21483.412,19802.893,20945.432,21649.242,1275.876,1278.658,20142.834,908.132,0,0,0.004,0,0,1142.54,0,0,-2.166,-3.319,-0.002,-2521.248,586.641,0,39.502,35.091,661.234,3442.57,2287.09,500,50.58,6280.24,46686,5731,13442.782,419,13861,782,79,44,39.68 +2023/09/22 03:00,,21278.908,21952.985,20072.454,21250.522,21949.374,1277.908,1289.177,20269.004,908.445,0,0,0.004,-0.821,0,1178.068,0,0,-2.171,-3.452,-0.003,-2387.73,582.698,0,39.417,35.087,657.202,3442.57,2287.09,500,50.58,6280.24,46686,5731,13504.087,419,13923,87,81,46,42.86 +2023/09/22 04:00,,22610.922,23254.2,21774.814,23050.376,23683.142,1436.813,1306.118,20444.966,908.338,0,3.64,0.004,18.502,0,1275.562,0,0,-2.17,-3.452,-0.002,-901.129,517.058,0,39.24,34.319,590.617,3442.57,2287.09,500,50.58,6280.24,46686,5731,13592.164,380.483,13972,648,82.6,47.6,45.79 +2023/09/22 05:00,,25482.108,26052.604,24969.533,25703.055,26207.316,1519.761,1335.597,20727.305,908.563,0,323.615,0.004,1437.697,0,495.122,238.4,260.732,-2.199,-3.306,-0.003,-18.471,420.927,0.053,5.779,34.387,461.146,3442.57,2287.09,500,50.58,6280.24,46686,5731,13420.703,320,13740,703,83,48,46.7 +2023/09/22 06:00,,27323.617,27967.755,26499.435,27042.447,27583.943,1375.432,1368.05,20779.006,908.356,0,796.275,239.004,1817.437,0,543.012,0,612.257,-2.215,-3.439,-0.001,-15.295,378.89,74.297,10.005,35.349,498.541,3442.57,2287.09,500,50.58,6280.24,46686,5731,13222.83,320,13542,83,81.4,47.2,44.95 +2023/09/22 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10:00,,22574.492,25878.231,22248.73,22248.73,25561.793,1281.501,1348.692,18260.014,911.125,0,997,0.002,436.355,0,0,0,321.995,-2.164,-1.666,-0.003,-22.62,2703.802,505.587,9.823,9.162,3228.374,3442.57,2287.09,500,50.58,6280.24,46686,6361,14392.637,1025.667,15418,304,54,30.6,42.62 +2023/09/24 11:00,,22200.003,25521.702,21971.073,21978.473,25313.721,1237.002,1362.164,18317.933,911.534,0,984.34,0.002,106.263,0,0,7.4,321.541,-2.157,-1.653,-0.003,-28.891,2702.54,534.261,0,9.141,3245.942,3442.57,2287.09,500,50.58,6280.24,46686,6361,14308.615,1055.25,15363,865,54,29.7,41.7 +2023/09/24 12:00,,21681.71,25223.545,21940.71,21952.71,25293.34,1240.986,1330.094,18199.945,911.587,0,978.84,0.003,228.917,0,0,12,321.79,-2.142,-1.666,-0.002,-26.656,2719.944,518.125,1.976,8.906,3248.951,3442.57,2287.09,500,50.58,6280.24,46686,6361,14321.608,1064,15385,608,54,29,41.64 +2023/09/24 13:00,,21184.448,24822.743,21406.326,21418.326,24979.557,1211.652,1330.476,18133.005,911.501,0,903.53,0.003,-1.247,0,0,12,166.391,-2.149,-1.693,-0.002,-33.488,2812.929,629.378,18.553,8.545,3469.405,3442.57,2287.09,500,50.58,6280.24,46686,6331.6,14353.409,1081.5,15434,909,54,29.4,40.91 +2023/09/24 14:00,,20841.864,24613.567,21111.625,21123.625,24637.562,1201.28,1330.534,17932.895,911.691,0,874.945,0.002,93.936,0,0,12,0,-2.132,-1.693,-0.003,-28.55,2804.69,609.145,0,8.549,3422.384,3442.57,2287.09,500,50.58,6280.24,46686,6214,14662.117,1040.667,15702,783,54,29,40.97 +2023/09/24 15:00,,20750.592,24285.213,21362.4,21374.4,24831.036,1231.868,1354.788,17849.201,911.558,0,1054.63,0.003,39.516,0,0,12,187.127,-2.161,-1.693,-0.002,-30.567,2891.249,457.284,8,8.422,3364.955,3442.57,2287.09,500,50.58,6280.24,46686,6214,14722.298,1029,15751,298,54,29,40.8 +2023/09/24 16:00,,21551.461,24795.305,21941.193,21953.193,25016.601,1338.104,1367.5,17322.158,912.014,0,1268.53,0.004,573.038,0,0,12,523.309,-2.134,-0.973,-0.002,-22.249,2567.618,360.41,39.241,8.495,2975.764,3442.57,2287.09,500,50.58,6280.24,46686,6214,15240.487,1029,16269,487,54,29.4,40.5 +2023/09/24 17:00,,22804.617,25672.789,23402.05,23403.65,26154.98,1454.581,1353.642,17181.548,912.138,0,1689.03,199.181,1305.94,0,0,1.6,779.09,-2.145,0,-0.002,-16.373,2399.81,185.355,75.073,7.422,2667.66,3442.57,2287.09,500,50.58,6280.24,46686,6214,15401.036,1029,16430,36,54,27.8,39.39 +2023/09/24 18:00,,25160.524,27892.714,24347.533,24347.533,27055.975,1568.349,1335.239,17345.434,912.299,0,1779.73,481.092,1721.302,0,0,0,787.878,-2.143,0,0,-13.297,2539.964,8.753,63.25,6.702,2618.669,3442.57,2287.09,500,50.58,6280.24,46686,6214,15027.009,1021.167,16048,176,53.5,26.2,37.48 +2023/09/24 19:00,,24930.328,27705.178,23608.643,23608.643,26179.957,1454.666,1342.061,17522.622,912.208,0,1701.095,345.129,1014.65,0,0,0,789.206,-2.143,0,-0.002,-16.184,2466.761,0,3.84,7.601,2478.202,3442.57,2287.09,500,50.58,6280.24,46686,6214,15113.088,1019,16132,88,52,24.2,34.83 +2023/09/24 20:00,,23106.179,25876.371,20234.322,22907.342,25575.978,1324.527,1420.135,17605.056,912.059,0,1544.05,24.386,-13.26,0,2673.02,0,744.157,-2.163,0,-0.003,-2000.094,2569.704,0,0,8.943,2578.647,3442.57,2287.09,500,50.58,6280.24,46686,6214,14989.847,1019,16008,847,51,23.2,33.28 +2023/09/24 21:00,,21366.807,24229.797,18928.723,21284.948,24041.973,1313.559,1422.92,17571.349,912.082,0,1235.735,0.003,-0.262,0,2356.225,0,442.457,-2.193,-1.426,-0.003,-2651.939,2658.837,0,0,9.33,2668.167,3442.57,2287.09,500,50.58,6280.24,46686,6214,15068.958,1019,16087,958,52.5,25,35.55 +2023/09/24 22:00,,20096.873,22905.052,18010.239,19996.758,22833.984,1262.47,1331.523,17588.555,912.097,0,516.515,0.003,-5.412,0,1986.518,0,0,-2.158,-1.68,-0.003,-2329.2,2739.799,0,0,9.131,2748.93,3442.57,2287.09,500,50.58,6280.24,46686,6382,14551.284,1001.4,15552,684,55,27,38.48 +2023/09/24 23:00,,18922.312,21741.799,16936.491,18745.502,21631.901,1242.529,1319.139,17305.922,911.919,0,2.21,0.003,-1.357,0,1809.011,0,0,-2.173,-3.426,-0.004,-2595.741,2790.495,0,0,8.742,2799.237,3442.57,2287.09,500,50.58,6280.24,46686,6490.333,14353.459,982.667,15336,126,57,27.8,40.68 +2023/09/25 00:00,,18080.343,20841.058,16526.196,18023.233,20872.008,1217.989,1263.24,16961.772,912.118,0,0,0.002,-2.987,0,1497.038,0,0,-2.147,-3.279,-0.006,-2602.518,2755.631,0,0,7.966,2763.597,3442.57,2287.09,500,50.58,6280.24,46686,6303,14455.929,1041,15496,929,59.5,29.4,43.86 +2023/09/25 01:00,,17622.083,20219.732,16386.075,17794.399,20222.821,1220.838,1224.458,16906.865,911.899,0,0,0.002,-6.864,0,1408.323,0,0,-2.139,-3.426,-0.004,-2644.715,2333.842,0,0,8.166,2342.008,3442.57,2287.09,500,50.58,6280.24,46686,5254,15451.924,1041,16492,924,61.9,31.4,46.84 +2023/09/25 02:00,,17438.962,19946.218,16665.773,17820.275,20133.126,1262.373,1064.557,17294.1,911.599,0,0,0.003,-0.448,0,1154.502,0,0,-2.158,-3.439,-0.003,-2598.439,2219.65,0,0,8.349,2227.999,3442.57,2287.09,500,50.58,6280.24,46686,5074,15088.928,1217.667,16306,595,64.2,33.7,50.01 +2023/09/25 03:00,,17516.375,20055.668,16242.493,17569.116,20064.749,1220.163,720.421,17182.385,911.947,0,0,0.004,-0.533,0,1326.623,0,0,-2.148,-3.426,-0.002,-2566.154,2398.524,0,0,8.418,2406.942,3442.57,2287.09,500,50.58,6280.24,46686,5074,15126.497,1241,16367,497,66.5,34.9,53.03 +2023/09/25 04:00,,17855.214,20455.13,16964.655,18286.163,20498.917,1381.669,687.487,17659.372,911.842,0,0,0.004,-2.905,0,1321.508,0,0,-2.125,-3.426,-0.002,-2285.592,2117.502,0,0,8.144,2125.646,3442.57,2287.09,500,50.58,6280.24,46686,5074,15141.243,1406.667,16547,91,68.6,35.7,56.26 +2023/09/25 05:00,,18728.256,21368.09,17338.349,18898.543,21277.523,1351.586,693.615,18065.97,911.702,0,0,0.004,-0.133,0,1560.194,0,0,-2.139,-3.279,-0.003,-2327.387,2287.614,0,0,8.77,2296.384,3442.57,2287.09,500,50.58,6280.24,46686,5074,14986.593,1406,16392,593,70.6,35.7,59.31 +2023/09/25 06:00,,19533.607,22271.003,18331.172,19879.843,22309.258,1262.081,726.661,18238.736,911.968,0,0,230.004,-3.592,0,1548.671,0,0,-2.138,-3.412,-0.002,-1767.053,2300.361,33.899,0,9.072,2343.332,3442.57,2287.09,500,50.58,6280.24,46686,5209.667,14880.927,1406,16286,927,72.6,35.7,62.47 +2023/09/25 07:00,,20712.882,23696.624,19216.042,20921.966,23767.38,1237.595,742.495,18299.772,911.733,0,0,498.166,-5.92,0,1705.923,0,0,-2.179,-3.826,0,-1224.198,2377.638,371.663,0,9.08,2758.381,3442.57,2287.09,500,50.58,6280.24,46686,5222,14856.024,1406,16262,24,74.6,36.1,64.26 +2023/09/25 08:00,,22057.513,25436.392,20338.468,22246.198,25534.095,1319.47,743.489,18769.066,911.682,0,0,391.8,-1.289,0,1907.73,0,0,-2.167,-3.426,0,-470.687,2448.329,747.377,0,8.951,3204.657,3442.57,2287.09,500,50.58,6280.24,46686,5222,14791.165,1406,16197,165,76.6,36.1,64.585 +2023/09/25 09:00,,22399.804,26143.73,20674.504,22552.181,26346.051,1330.275,733.992,18864.703,911.156,0,0,103.068,109.025,0,1877.677,0,0,-2.138,-3.293,-0.001,-42.007,2759.089,941.644,0,8.964,3709.697,3442.57,2287.09,500,50.58,6280.24,46686,5222,14736.715,1406,16142,715,77.8,36.1,64.91 +2023/09/25 10:00,,22446.479,26431.899,20415.818,22364.033,26584.653,1306.253,742.56,19002.242,911.251,0,0,0.004,-0.974,0,1948.215,0,0,-2.134,-3.426,-0.001,-233.704,2885.018,1239.578,0,8.716,4133.312,3442.57,2287.09,500,50.58,6280.24,46686,5222,14909.927,1406,16315,927,77.8,36.1,64.5 +2023/09/25 11:00,,22268.451,26251.027,20530.987,22325.125,26497.144,1329.351,730.106,19007.027,910.936,0,0,0.004,-1.012,0,1794.138,0,0,-2.13,-3.279,-0.001,-110.663,2784.392,1292.521,0,9.122,4086.035,3442.57,2287.09,500,50.58,6280.24,46686,5222,15048.956,1450.65,16499,606,78.2,36.1,64.58 +2023/09/25 12:00,,21911.932,25960.129,20536.759,22186.668,26276.821,1326.263,734.809,18601.614,910.784,0,0,0.004,345.833,0,1649.909,0,0,-2.122,-3.426,-0.001,-50.736,2704.837,1287.271,3.36,9.041,4004.509,3442.57,2287.09,500,50.58,6280.24,46686,5222,15090.187,1463,16553,187,78.6,36.1,64.58 +2023/09/25 13:00,,21624.109,25633.363,20218.091,21844.387,25890.118,1289.983,724.652,18549.507,911.017,0,0,0.004,79.928,0,1626.296,0,0,-2.109,-3.293,-0.001,-41.615,2743.306,1215.097,0,9.1,3967.503,3442.57,2287.09,500,50.58,6280.24,46686,5222,15182.597,1463,16645,597,78.6,36.1,63.52 +2023/09/25 14:00,,21641.76,25528.378,20628.867,22072.515,25920.786,1354.15,711.198,18904.578,910.681,0,0,0.004,415.074,0,1443.647,0,0,-2.1,-3.412,-0.001,-307.154,2777.87,987.857,0,8.929,3774.656,3442.57,2287.09,500,50.58,6280.24,46686,5132,15173.886,1551.5,16725,386,78.6,36.1,63.28 +2023/09/25 15:00,,21922.937,25675.292,21093.912,22547.683,26222.075,1356.619,730.461,18938.854,910.45,0,0,0.004,912.557,0,1453.771,0,0,-2.095,-3.412,-0.001,-392.906,2761.663,822.523,0,8.852,3593.038,3442.57,2287.09,500,50.58,6280.24,46686,4729,15437.882,1609,17046,882,79.4,36.1,61.99 +2023/09/25 16:00,,22775.715,26276.795,21561.883,23070.772,26679.066,1378.625,739.159,19160.744,910.134,0,0,0.003,1169.649,0,1508.889,0,0,-2.091,-3.279,-0.002,-412.434,2898.418,615.808,0.12,8.086,3522.432,3442.57,2287.09,500,50.58,6280.24,46686,4360,15805.783,1420.85,17226,633,80.2,36.1,59.15 +2023/09/25 17:00,,23907.089,27032.636,22647.78,24234.325,27447.27,1392.38,761.165,19422.401,910.03,0,635.04,0.003,744.173,0,1586.545,0,201.344,-2.117,-0.107,-0.002,-24.15,2853.721,218.318,47.748,8.272,3128.059,3442.57,2287.09,500,50.58,6280.24,46686,4426.517,15338.183,977,16315,183,81.4,36.1,56.11 +2023/09/25 18:00,,25889.59,28846.894,24597.438,26529.001,29155.832,1385.828,791.762,20085.133,910.187,0,928.42,438.192,1143.236,0,1931.563,0,308.943,-2.112,0,0,-6.322,2416.058,10.401,105.554,8.781,2540.794,3442.57,2287.09,500,50.58,6280.24,46686,4667,14462.679,937.333,15400,12,81.4,36.1,53.9 +2023/09/25 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10:00,,24506.291,27530.123,23410.976,24755.769,27524.975,1254.629,197.426,20964.855,908.681,0,546.57,0.004,758.26,0,1344.793,0,61.753,-2.126,-1.666,-0.001,-22.78,626.438,1815.316,299.273,16.328,2757.355,3442.57,2287.09,500,50.58,6280.24,46686,4227,13511.258,1839.7,15350,958,74.2,36.9,38.76 +2023/09/28 11:00,,24333.835,27386.315,22949.169,24411.151,27249.021,1237.308,180.988,20867.948,908.837,0,547.575,0.004,472.695,0,1461.983,0,0,-2.126,-1.653,-0.001,-25.098,641.565,1865.513,298.372,24.021,2829.471,3442.57,2287.09,500,50.58,6280.24,46686,4227,13557.766,1839.7,15397,466,73,36.9,37.81 +2023/09/28 12:00,,24067.398,27066.341,22665.84,24119.23,26914.387,1228.036,194.696,20798.268,909.789,0,329.865,0.004,464.967,0,1453.39,0,0,-2.13,-1.666,-0.001,-27.952,605.722,1868.158,298.175,12.938,2784.993,3442.57,2287.09,500,50.58,6280.24,46686,4227,13610.511,1839.7,15450,211,72.6,36.9,37.21 +2023/09/28 13:00,,23950.237,26987.634,22459.389,24019.737,26718.687,1209.145,143.203,20923.641,910.309,0,258.215,0.004,251.628,0,1560.348,0,0,-2.128,-1.666,-0.001,-23.817,548.235,1831.816,298.071,11.023,2689.145,3442.57,2287.09,500,50.58,6280.24,46686,4227,13591.579,1839.7,15431,279,71.4,36.9,36.66 +2023/09/28 14:00,,24266.955,27213.26,22689.059,24483.606,27130.064,1270.442,198.656,20895.377,910.528,0,256.245,0.004,461.478,0,1794.547,0,0,-2.129,-1.653,-0.001,-29.446,564.524,1766.891,298.19,10.605,2640.21,3442.57,2287.09,500,50.58,6280.24,46686,4227,13576.15,1839.7,15415,85,71.4,36.9,36.02 +2023/09/28 15:00,,25101.036,27864.392,23245.771,25208.849,27676.417,1311.788,250.986,20786.922,910.356,0,238.14,0.004,1072.163,0,1963.078,0,0,-2.127,-1.653,-0.001,-9.019,590.426,1561.243,296.727,11.309,2459.705,3442.57,2287.09,500,50.58,6280.24,46686,4227,13583.106,1839.7,15422,806,70.6,36.9,35.29 +2023/09/28 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10:00,,24961.013,28262.225,22502.069,24293.364,27895.945,1189.895,870.031,20571.498,909.166,0,0,122.004,278.64,0,1791.295,0,0,-2.125,-3.306,-0.001,-243.84,1352.481,1836.516,373.277,19.16,3581.434,3442.57,2287.09,500,50.58,6280.24,46686,5343,12528.125,2392.7,14920,825,72.6,36.9,40.38 +2023/09/29 11:00,,24605.213,28086.759,21376.914,23270.832,27089.529,1186.761,857.701,20475.535,909.082,0,0,122.004,-0.977,0,1893.918,0,0,-2.095,-3.426,-0.001,-980.909,1511.715,1873.457,384.532,25.727,3795.431,3442.57,2287.09,500,50.58,6280.24,46686,5343,12635.297,2387,15022,297,73,36.9,41.09 +2023/09/29 12:00,,24259.181,27839.298,21424.888,23306.345,27180.56,1167.521,866.345,20441.319,909.155,0,0,116.004,-3.575,0,1881.457,0,0,-2.077,-3.293,-0.001,-898.989,1660.08,1861.705,311.406,14.967,3848.158,3442.57,2287.09,500,50.58,6280.24,46686,5343,12610.356,2387,14997,356,74.2,36.9,41.82 +2023/09/29 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19:00,,27358.791,29149.272,23682.069,26948.865,28639.62,1118.047,847.447,20424.945,909.048,0,0,475.914,1044.469,96.85,2886.946,283,0,-2.091,-2.786,0,-14.877,1305.175,0,339.795,13.108,1658.078,3442.57,2287.09,500,50.58,6280.24,46686,5343,13464.129,1480,14944,129,81.4,36.9,42.31 +2023/09/29 20:00,,25910.006,27650.819,23393.603,25804.004,27395.357,1295.456,851.047,20439.25,908.964,0,0,282.113,934.979,0,2410.401,0,0,-2.088,-3.452,-0.001,-17.209,1210.798,0,334.884,13.133,1558.815,3442.57,2287.09,500,50.58,6280.24,46686,5413.917,13454.612,1480,14934,612,79.4,36.9,41.03 +2023/09/29 21:00,,24348.387,26013.409,22159.837,24314.786,25764.064,1223.125,865.847,20205.796,908.919,0,0,32.004,209.579,0,2154.949,0,0,-2.098,-3.346,-0.002,-56.861,1168.096,0,235.571,13.175,1416.842,3442.57,2287.09,500,50.58,6280.24,46686,5528,13541.492,1480,15021,492,77.8,36.9,39.68 +2023/09/29 22:00,,22800.963,24129.788,20957.483,22739.733,23965.477,1181.477,363.023,20267.846,908.714,0,0,0.004,-3.287,0,1782.25,0,0,-2.101,-3.479,-0.002,-573.235,1142.576,0,38.62,12.052,1193.248,3442.57,2287.09,500,50.58,6280.24,46686,5528,13541.308,1480,15021,308,77.8,36.9,39.05 +2023/09/29 23:00,,21402.75,22721.459,19897.872,21346.917,22674.037,1121.861,228.377,20228.682,909.067,0,0,0.004,-4.467,0,1449.045,0,0,-2.127,-3.479,-0.002,-1458.182,1245.086,0,37.824,11.715,1294.625,3442.57,2287.09,500,50.58,6280.24,46686,5528,13598.744,1480,15078,744,79,36.9,39.33 +2023/09/30 00:00,,20389.999,21797.996,19301.082,20469.91,21961.643,1082.714,204.289,19965.673,909.304,0,0,0.004,-2.424,0,1168.828,0,0,-2.125,-3.359,-0.002,-1770.277,1386.006,0,37.866,36.027,1459.899,3442.57,2287.09,500,50.58,6280.24,46686,5528,13666.685,1522.833,15189,519,81,36.9,41.09 +2023/09/30 01:00,,19874.32,21325.979,18841.306,19475.037,21264.208,1078.658,611.659,19321.737,909.175,0,0,0.004,-0.387,0,633.731,0,0,-2.154,-3.506,-0.002,-1995.22,1688.242,0,37.598,35.771,1761.611,3442.57,2287.09,500,50.58,6280.24,46686,5528,13434.478,1650,15084,478,83,36.9,42.99 +2023/09/30 02:00,,19702.278,21261.182,18916.786,18916.786,21084.162,1129.493,747.332,19281.962,909.114,0,0,0.004,-0.37,0,0,0,0,-2.151,-3.492,-0.002,-2015.611,2066.205,0,37.875,35.715,2139.795,3442.57,2287.09,500,50.58,6280.24,46686,5528,13279.436,1674.733,14954,17,85.4,36.9,45.33 +2023/09/30 03:00,,19642.787,21295.535,18785.289,18785.289,21001.533,1129.318,768.55,19095.694,909.353,0,0,0.004,-0.376,0,0,0,0,-2.148,-3.479,-0.002,-1982.305,2142.54,0,12.251,35.403,2190.194,3442.57,2287.09,500,50.58,6280.24,46686,5528,13134.488,2100.367,15234,854,87.8,36.9,47.77 +2023/09/30 04:00,,20190.704,21877.069,19258.283,19258.283,21415.253,1136.905,759.674,19563.991,909.313,0,0,0.004,-0.399,0,0,0,0,-2.157,-3.346,-0.002,-1968.796,2093.399,0,0,35.497,2128.896,3442.57,2287.09,500,50.58,6280.24,46686,5528,13068.435,2189,15257,435,90.3,36.9,50.28 +2023/09/30 05:00,,20992.646,22761.557,20061.761,20061.761,22252.645,1158.342,805.274,19995.664,909.382,0,0,0.004,-1.678,0,0,0,0,-2.176,-3.479,-0.002,-1641.227,2112.478,0.364,0,36.313,2149.155,3442.57,2287.09,500,50.58,6280.24,46686,5528,12994.237,2189,15183,237,92.1,36.9,52.6 +2023/09/30 06:00,,22243.122,24219.662,21657.12,21657.12,23898.927,1216.185,824.463,20303.939,909.334,0,0,122.003,31.799,0,0,0,0,-2.126,-3.479,-0.001,-528.812,2048.411,113.573,0,37.177,2199.161,3442.57,2287.09,500,50.58,6280.24,46686,5675,12960.229,2167.45,15127,679,93.9,36.9,54.63 +2023/09/30 07:00,,23267.517,25914.83,22198.033,22198.033,25146.592,1249.259,835.442,20210.648,908.927,0,0,384.451,19.343,0,0,0,0,-2.13,-3.333,0,-155.315,1984.218,861.122,50.261,24.893,2920.494,3442.57,2287.09,500,50.58,6280.24,46686,5675,13036.799,1496.333,14533,132,94.2,36.9,55.44 +2023/09/30 08:00,,23854.794,27307.899,22016.76,22016.76,25955.135,1231.321,821.854,19918.028,908.796,0,0,213.301,187.228,0,0,0,0,-2.116,-3.466,0,-26.866,2107.834,1489.51,291.708,16.833,3905.885,3442.57,2287.09,500,50.58,6280.24,46686,5675,13136.776,1460,14596,776,94.2,36.9,55.81 +2023/09/30 09:00,,23478.881,27384.262,21593,21593,25939.949,1238.198,774.816,19580.701,908.702,0,0,124.705,230.444,0,0,0,0,-2.096,-3.466,-0.001,-20.806,2207.567,1718.041,380.7,10.675,4316.983,3442.57,2287.09,500,50.58,6280.24,46686,5675,13219.694,1460,14679,694,93.9,36.9,55.73 +2023/09/30 10:00,,22872.553,27107.634,20892.317,20892.317,25617.555,1241.256,790.794,18889.782,908.723,0,0,122.004,210.335,0,0,0,0,-2.097,-3.333,-0.001,-23.891,2454.41,1842.236,385.186,16.316,4698.148,3442.57,2287.09,500,50.58,6280.24,46686,5675,13167.492,1460,14627,492,93,36.9,55.59 +2023/09/30 11:00,,22372.96,26839.183,20299.141,20299.141,25172.522,1248.866,787.852,18530.108,909.065,0,0,122.004,-1.683,0,0,0,0,-2.118,-3.479,-0.001,-42.608,2550.318,1883.888,384.184,23.765,4842.155,3442.57,2287.09,500,50.58,6280.24,46686,5675,13100.258,1460,14560,258,93,36.9,54.99 +2023/09/30 12:00,,21853.144,26471.586,20006.819,20006.819,24942.897,1231.223,627.237,18283.142,909.32,0,0,122.83,94.722,0,0,0,0,-2.108,-3.466,-0.001,-24.858,2633.974,1881.996,380.273,12.215,4908.458,3442.57,2287.09,500,50.58,6280.24,46686,5675,13097.204,1460,14557,204,92.7,36.9,55.14 +2023/09/30 13:00,,21292.834,26048.111,20137.742,20137.742,24318.906,1227.221,557.041,18101.631,909.188,0,0,4.118,595.625,0,0,0,0,-2.11,-3.479,-0.001,-24.27,1881.531,1869.261,390.734,10.109,4151.635,3442.57,2287.09,500,50.58,6280.24,46686,5675,13077.387,1460,14537,387,92.7,36.9,55.14 +2023/09/30 14:00,,21013.933,25760.42,20197.736,20197.736,24155.464,1221.223,570.3,18103.324,909.182,0,0,0.004,644.303,0,0,0,0,-2.119,-3.479,-0.001,-23.778,1775.669,1749.217,392.44,9.891,3927.217,3442.57,2287.09,500,50.58,6280.24,46686,5675,13306.321,1057.717,14364,38,92.1,36.9,53.9 +2023/09/30 15:00,,21166.724,25735.461,20468.591,20468.591,24219.965,1223.682,588.134,18321.012,909.248,0,0,83.567,595.591,0,0,0,0,-2.116,-3.346,-0.001,-23.499,1807.99,1550.342,355.178,8.998,3722.508,3442.57,2287.09,500,50.58,6280.24,46686,5675,13386.59,1099,14485,59,91.5,36.9,52.75 +2023/09/30 16:00,,21862.273,25969.879,21240.69,21240.69,24528.357,1233.749,567.661,18732.811,909.276,0,0,122.004,930.484,0,0,0,0,-2.13,-3.333,-0.001,-16.083,1716.73,1184.855,356.269,7.939,3265.793,3442.57,2287.09,500,50.58,6280.24,46686,5557.4,13487.971,1112.05,14600,21,90.8,36.9,51.4 +2023/09/30 17:00,,23300.208,26599.901,22551.299,22551.299,25313.245,1295.301,674.572,19983.453,908.926,0,0,122.004,897.783,0,0,0,0,-2.148,-3.479,-0.001,-29.811,1898.198,484.516,358.053,9.2,2749.967,3442.57,2287.09,500,50.58,6280.24,46686,5529.167,13534.82,1133.383,14668,203,90.3,36.9,49.59 +2023/09/30 18:00,,25455.513,28164.238,24214.692,24214.692,26768.182,1458.748,867.833,20750.084,908.983,0,0,317.611,1387.244,0,0,0,0,-2.143,-3.466,-0.002,-11.453,2143.941,26.454,348.615,11.275,2530.285,3442.57,2287.09,500,50.58,6280.24,46686,5563,13433.786,1125.667,14559,453,89,36.9,48.24 +2023/09/30 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07:00,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2023/12/30 08:00,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2023/12/30 09:00,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2023/12/30 10:00,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2023/12/30 11:00,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2023/12/30 12:00,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2023/12/30 13:00,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2023/12/30 14:00,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2023/12/30 15:00,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2023/12/30 16:00,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2023/12/30 17:00,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2023/12/30 18:00,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2023/12/30 19:00,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2023/12/30 20:00,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2023/12/30 21:00,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2023/12/30 22:00,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2023/12/30 23:00,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2023/12/31 00:00,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, diff --git a/data/eskom_pu_profiles.csv b/data/eskom_pu_profiles.csv new file mode 100755 index 0000000..c6e1ab0 --- /dev/null +++ b/data/eskom_pu_profiles.csv @@ -0,0 +1,39362 @@ +date,wind,solar_pv,solar_csp,hydro,hydro_import,bioenergy +time (SAST),normalised feed-in [MW/MW],normalised feed-in [MW/MW],normalised feed-in [MW/MW],normalised feed-in [MW/MW],normalised feed-in [MW/MW],normalised feed-in [MW/MW] +2018/04/01 00:00,0.21897272,0,0.058516667,0.6,0.634560907,0.575711662 +2018/04/01 01:00,0.18912943,0,0.130436667,0.6,0.626628895,0.569513315 +2018/04/01 02:00,0.162369328,0,0.130543333,0.6,0.63286119,0.554729109 +2018/04/01 03:00,0.143057775,0,0.129806667,0.6,0.633427762,0.563728191 +2018/04/01 04:00,0.149191421,0,0.083413333,0.6,0.62776204,0.573370064 +2018/04/01 05:00,0.16619275,0,0,0.6,0.637393768,0.557759412 +2018/04/01 06:00,0.161430799,0.006002618,0,0.6,0.667422096,0.557392103 +2018/04/01 07:00,0.17544183,0.196368175,0.000856667,0.791666667,0.687818697,0.548438935 +2018/04/01 08:00,0.156830564,0.513733644,0.1402,0.801666667,0.700283286,0.540955005 +2018/04/01 09:00,0.143481316,0.694192743,0.32867,0.603333333,0.699150142,0.568135904 +2018/04/01 10:00,0.19547196,0.773266675,0.478943333,0.6,0.689518414,0.568686869 +2018/04/01 11:00,0.216491154,0.808535535,0.497113333,0.6,0.684985836,0.579660239 +2018/04/01 12:00,0.213837283,0.791792103,0.648303333,0.6,0.682719547,0.580991736 +2018/04/01 13:00,0.207064956,0.775883027,0.5945,0.6,0.69121813,0.573507805 +2018/04/01 14:00,0.247906359,0.753908248,0.617493333,0.6,0.699150142,0.573461892 +2018/04/01 15:00,0.285809926,0.650505701,0.679333333,0.6,0.709915014,0.580073462 +2018/04/01 16:00,0.326212868,0.466762765,0.812826667,0.6,0.696883853,0.573094582 +2018/04/01 17:00,0.31360241,0.187037627,0.766256667,0.6,0.701416431,0.5728191 +2018/04/01 18:00,0.297065052,0.006976713,0.673526667,0.791666667,0.657223796,0.586225895 +2018/04/01 19:00,0.298409314,0,0.342723333,0.8,0.643626062,0.476951331 +2018/04/01 20:00,0.284782839,0,0.41348,0.8,0.648725212,0.48292011 +2018/04/01 21:00,0.21827869,0,0.461,0.603333333,0.650424929,0.622130395 +2018/04/01 22:00,0.216888705,0,0.0776,0.6,0.627195467,0.62594123 +2018/04/01 23:00,0.235353176,0,0,0.6,0.643626062,0.569237833 +2018/04/02 00:00,0.183800993,0,0,0.6,0.629461756,0.569742883 +2018/04/02 01:00,0.168300348,0,0,0.6,0.633427762,0.59775023 +2018/04/02 02:00,0.153884547,0,0,0.48,0.603966006,0.60137741 +2018/04/02 03:00,0.149836359,0,0,0.588333333,0.54674221,0.571625344 +2018/04/02 04:00,0.217596211,0,0,0.6,0.371104816,0.579109275 +2018/04/02 05:00,0.332486091,0,0,0.6,0.251558074,0.594031221 +2018/04/02 06:00,0.36178359,0.005327671,0,0.6,0.419830028,0.59476584 +2018/04/02 07:00,0.345996573,0.111116613,0,0.771666667,0.632294618,0.628787879 +2018/04/02 08:00,0.299406561,0.320865017,0.15382,0.803333333,0.690651558,0.627915519 +2018/04/02 09:00,0.210614038,0.464312606,0.518403333,0.645,0.698016997,0.604453627 +2018/04/02 10:00,0.241078682,0.51751606,0.611673333,0.6,0.673087819,0.61584022 +2018/04/02 11:00,0.301519935,0.572454704,0.616093333,0.6,0.668555241,0.6271809 +2018/04/02 12:00,0.369376528,0.571435161,0.69162,0.6,0.669121813,0.619421488 +2018/04/02 13:00,0.430287045,0.576440622,0.72434,0.6,0.677053824,0.614830119 +2018/04/02 14:00,0.425822536,0.55037953,0.677033333,0.6,0.678186969,0.623048669 +2018/04/02 15:00,0.404104499,0.392045123,0.550996667,0.6,0.675354108,0.619834711 +2018/04/02 16:00,0.530466088,0.21129773,0.631423333,0.6,0.682719547,0.617217631 +2018/04/02 17:00,0.65531111,0.09181381,0.53085,0.6,0.689518414,0.621487603 +2018/04/02 18:00,0.596055773,0.00401373,0.518586667,0.756666667,0.658356941,0.590312213 +2018/04/02 19:00,0.521384498,0,0.504466667,0.801666667,0.638526912,0.605601469 +2018/04/02 20:00,0.332969313,0,0.44865,0.8,0.632294618,0.622727273 +2018/04/02 21:00,0.298458888,0,0.332083333,0.64,0.633427762,0.629568411 +2018/04/02 22:00,0.271093314,0,0.025563333,0.6,0.621529745,0.624793388 +2018/04/02 23:00,0.232465876,0,0,0.6,0.621529745,0.613269054 +2018/04/03 00:00,0.21261864,0,0,0.6,0.521246459,0.606565657 +2018/04/03 01:00,0.217806057,0,0,0.6,0.504815864,0.605280073 +2018/04/03 02:00,0.231710721,0,0,0.6,0.511614731,0.600137741 +2018/04/03 03:00,0.226335599,0,0,0.6,0.619830028,0.596418733 +2018/04/03 04:00,0.209503687,0,0,0.6,0.662322946,0.60835629 +2018/04/03 05:00,0.194186416,0,0,0.6,0.664022663,0.614233242 +2018/04/03 06:00,0.183266754,0.005674981,0,0.6,0.717847025,0.606841139 +2018/04/03 07:00,0.160212637,0.151766055,0,0.791666667,0.770538244,0.600137741 +2018/04/03 08:00,0.128527906,0.45204553,0,0.801666667,0.747308782,0.61446281 +2018/04/03 09:00,0.119568566,0.602906681,0,0.606666667,0.743909348,0.608218549 +2018/04/03 10:00,0.115189246,0.727902781,0.099336667,0.6,0.694050992,0.610789715 +2018/04/03 11:00,0.111455827,0.769205462,0.27337,0.6,0.693484419,0.60922865 +2018/04/03 12:00,0.097955932,0.728853811,0.28684,0.6,0.699150142,0.624609734 +2018/04/03 13:00,0.091636024,0.745818382,0.322456667,0.6,0.698016997,0.62979798 +2018/04/03 14:00,0.128760853,0.660002442,0.247476667,0.6,0.695750708,0.614921947 +2018/04/03 15:00,0.102759275,0.57128864,0.102943333,0.6,0.699150142,0.623278237 +2018/04/03 16:00,0.141357835,0.346754489,0.080316667,0.6,0.703116147,0.632690542 +2018/04/03 17:00,0.191840094,0.113168587,0.21899,0.6,0.707648725,0.636547291 +2018/04/03 18:00,0.215323528,0.00230703,0.29018,0.913333333,0.677620397,0.641781451 +2018/04/03 19:00,0.250726277,0,0.280443333,0.998333333,0.665155807,0.641230487 +2018/04/03 20:00,0.250848526,0,0.181266667,0.675,0.641926346,0.643985308 +2018/04/03 21:00,0.284969582,0,0,0.6,0.638526912,0.660009183 +2018/04/03 22:00,0.254422636,0,0,0.6,0.633427762,0.659687787 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13:00,0.154674355,0.312214843,0,0.6,0.694617564,0.696372819 +2018/04/04 14:00,0.114824423,0.283901668,0,0.6,0.695750708,0.711157025 +2018/04/04 15:00,0.112405425,0.295347954,0,0.6,0.702549575,0.752479339 +2018/04/04 16:00,0.104155517,0.193276986,0.087513333,0.6,0.704249292,0.72020202 +2018/04/04 17:00,0.081631307,0.073977574,0.371,0.6,0.715014164,0.73677686 +2018/04/04 18:00,0.11231446,0.00497697,0.258056667,0.791666667,0.685552408,0.769283747 +2018/04/04 19:00,0.17351183,0,0.03156,0.798333333,0.685552408,0.796648301 +2018/04/04 20:00,0.128553896,0,0,0.8,0.648725212,0.780211203 +2018/04/04 21:00,0.095172593,0,0,0.8,0.649291785,0.759504132 +2018/04/04 22:00,0.069327436,0,0,0.6,0.639660057,0.778787879 +2018/04/04 23:00,0.06726171,0,0,0.6,0.631161473,0.778145087 +2018/04/05 00:00,0.159284697,0,0,0.6,0.633427762,0.777777778 +2018/04/05 01:00,0.221212194,0,0,0.6,0.636260623,0.777869605 +2018/04/05 02:00,0.239554897,0,0,0.6,0.637393768,0.796464646 +2018/04/05 03:00,0.223355409,0,0,0.6,0.641359773,0.799678604 +2018/04/05 04:00,0.196843656,0,0,0.6,0.648725212,0.783241506 +2018/04/05 05:00,0.160916293,0,0,0.6,0.662889518,0.788383838 +2018/04/05 06:00,0.130765936,0.002958913,0,0.6,0.69631728,0.816161616 +2018/04/05 07:00,0.110853243,0.115786296,0,0.803333333,0.728045326,0.779384757 +2018/04/05 08:00,0.090159887,0.301464533,0.040506667,0.796666667,0.742209632,0.808034894 +2018/04/05 09:00,0.074060509,0.464990944,0.561703333,0.6,0.734844193,0.805693297 +2018/04/05 10:00,0.079579058,0.623201216,0.801713333,0.6,0.69121813,0.800459137 +2018/04/05 11:00,0.082828774,0.675956288,0.72456,0.6,0.678753541,0.504453627 +2018/04/05 12:00,0.123721194,0.698300762,0.691906667,0.6,0.674787535,0.414370983 +2018/04/05 13:00,0.140312458,0.663044791,0.688916667,0.6,0.693484419,0.414187328 +2018/04/05 14:00,0.185024931,0.614133863,0.681966667,0.6,0.69631728,0.414508724 +2018/04/05 15:00,0.188747762,0.552528507,0.342736667,0.6,0.681586402,0.414370983 +2018/04/05 16:00,0.19783272,0.394384713,0.3406,0.6,0.697450425,0.413957759 +2018/04/05 17:00,0.207212233,0.147695345,0.555763333,0.6,0.711614731,0.650596878 +2018/04/05 18:00,0.195983578,0.003032852,0.537246667,0.926666667,0.671388102,0.710055096 +2018/04/05 19:00,0.173272144,0,0.563623333,0.861666667,0.656090652,0.767676768 +2018/04/05 20:00,0.141233179,0,0.45231,0.6,0.647025496,0.828420569 +2018/04/05 21:00,0.126201317,0,0.43907,0.6,0.640226629,0.824977043 +2018/04/05 22:00,0.153159232,0,0.138986667,0.6,0.626628895,0.786271809 +2018/04/05 23:00,0.192142348,0,0.123353333,0.6,0.613031161,0.802433425 +2018/04/06 00:00,0.243450513,0,0.122646667,0.6,0.621529745,0.786593205 +2018/04/06 01:00,0.283107445,0,0.049016667,0.6,0.628895184,0.758907254 +2018/04/06 02:00,0.317230426,0,0,0.6,0.633427762,0.770752984 +2018/04/06 03:00,0.400156421,0,0,0.6,0.631161473,0.788062443 +2018/04/06 04:00,0.405464644,0,0,0.6,0.636260623,0.768503214 +2018/04/06 05:00,0.414666558,0,0,0.6,0.659490085,0.773140496 +2018/04/06 06:00,0.420827157,0.004207734,0,0.6,0.69121813,0.774426079 +2018/04/06 07:00,0.447674374,0.142276776,0,0.79,0.720113314,0.761662075 +2018/04/06 08:00,0.395860366,0.35701843,0.147446667,0.8,0.713314448,0.760376492 +2018/04/06 09:00,0.386266677,0.522912922,0.53334,0.6,0.692917847,0.779522498 +2018/04/06 10:00,0.431181776,0.706817303,0.72816,0.6,0.667422096,0.755555556 +2018/04/06 11:00,0.493997266,0.769829534,0.69056,0.6,0.667422096,0.773875115 +2018/04/06 12:00,0.521627072,0.738792829,0.68194,0.6,0.674787535,0.787741047 +2018/04/06 13:00,0.522805768,0.650625089,0.708063333,0.6,0.677620397,0.714141414 +2018/04/06 14:00,0.479391833,0.614205767,0.662673333,0.6,0.673087819,0.749908173 +2018/04/06 15:00,0.519385673,0.551318351,0.705646667,0.6,0.67592068,0.754545455 +2018/04/06 16:00,0.530202818,0.399259933,0.69494,0.6,0.689518414,0.754637282 +2018/04/06 17:00,0.441850201,0.140114911,0.699653333,0.6,0.700849858,0.750642792 +2018/04/06 18:00,0.354962651,0.00429117,0.51732,0.793333333,0.667422096,0.74214876 +2018/04/06 19:00,0.331752594,0,0.23055,0.8,0.653824363,0.756198347 +2018/04/06 20:00,0.299436883,0,0.4617,0.798333333,0.601133144,0.770110193 +2018/04/06 21:00,0.243982827,0,0.4442,0.608333333,0.597167139,0.770477502 +2018/04/06 22:00,0.19541276,0,0.152056667,0.6,0.596600567,0.770752984 +2018/04/06 23:00,0.173029571,0,0.1333,0.6,0.600566572,0.771533517 +2018/04/07 00:00,0.113741505,0,0.133523333,0.6,0.613597734,0.771028466 +2018/04/07 01:00,0.096979863,0,0.133063333,0.6,0.628328612,0.785123967 +2018/04/07 02:00,0.104218567,0,0.12969,0.6,0.633427762,0.791368228 +2018/04/07 03:00,0.129348998,0,0.01279,0.6,0.636827195,0.763131313 +2018/04/07 04:00,0.146526481,0,0,0.6,0.635694051,0.793755739 +2018/04/07 05:00,0.133006854,0,0,0.6,0.636827195,0.789210285 +2018/04/07 06:00,0.144464124,0.004757189,0,0.6,0.673087819,0.771120294 +2018/04/07 07:00,0.160726181,0.134547786,0,0.801666667,0.701983003,0.801561065 +2018/04/07 08:00,0.164786882,0.411809875,0.185583333,0.795,0.70878187,0.787878788 +2018/04/07 09:00,0.175411027,0.493587665,0.645673333,0.6,0.706515581,0.784894399 +2018/04/07 10:00,0.218057775,0.576762154,0.611296667,0.6,0.686685552,0.788337925 +2018/04/07 11:00,0.276784649,0.601475386,0.911963333,0.6,0.683852691,0.800321396 +2018/04/07 12:00,0.397187783,0.597353801,0.959046667,0.6,0.684985836,0.796602388 +2018/04/07 13:00,0.486000039,0.673602453,0.963843333,0.6,0.686685552,0.745362718 +2018/04/07 14:00,0.594829428,0.593238999,0.92605,0.6,0.686685552,0.720752984 +2018/04/07 15:00,0.593004351,0.525132446,0.944573333,0.6,0.690651558,0.777318641 +2018/04/07 16:00,0.609162447,0.379025092,0.860836667,0.6,0.703116147,0.770982553 +2018/04/07 17:00,0.583728318,0.131542746,0.770543333,0.6,0.710481586,0.817125803 +2018/04/07 18:00,0.492603431,0.003226857,0.701076667,0.766666667,0.670254958,0.796969697 +2018/04/07 19:00,0.526312978,0,0.62006,0.8,0.661756374,0.787419651 +2018/04/07 20:00,0.522626725,0,0.598866667,0.8,0.651558074,0.816161616 +2018/04/07 21:00,0.461314807,0,0.476813333,0.63,0.663456091,0.804775023 +2018/04/07 22:00,0.378252123,0,0.154256667,0.6,0.644759207,0.774609734 +2018/04/07 23:00,0.369489152,0,0.127233333,0.6,0.628328612,0.791873278 +2018/04/08 00:00,0.35528127,0,0.127176667,0.6,0.624929178,0.802387511 +2018/04/08 01:00,0.342421982,0,0.06622,0.6,0.630594901,0.777134986 +2018/04/08 02:00,0.326035751,0,0,0.6,0.633994334,0.807667585 +2018/04/08 03:00,0.297128102,0,0,0.6,0.636827195,0.784022039 +2018/04/08 04:00,0.260355101,0,0,0.6,0.633994334,0.797015611 +2018/04/08 05:00,0.256754038,0,0,0.6,0.640226629,0.813269054 +2018/04/08 06:00,0.248453112,0.004456006,0,0.6,0.660623229,0.816942149 +2018/04/08 07:00,0.222219548,0.147537292,0.00008,0.79,0.687252125,0.818870523 +2018/04/08 08:00,0.198488247,0.402761516,0.247486667,0.803333333,0.708215297,0.82056933 +2018/04/08 09:00,0.173888686,0.593384842,0.813173333,0.601666667,0.711614731,0.820752984 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13:00,0.261024585,0.694673007,0.881923333,0.6,0.667422096,0.687465565 +2018/04/10 14:00,0.315901565,0.697739097,0.874923333,0.6,0.674220963,0.7087236 +2018/04/10 15:00,0.330592188,0.498644679,0.926973333,0.6,0.67592068,0.709044995 +2018/04/10 16:00,0.349056177,0.354505864,0.728846667,0.6,0.684419263,0.684435262 +2018/04/10 17:00,0.44183865,0.125574044,0.642733333,0.6,0.698016997,0.697337006 +2018/04/10 18:00,0.438981191,0.002462369,0.634963333,0.788333333,0.675354108,0.704407713 +2018/04/10 19:00,0.413721772,0,0.593,0.906666667,0.663456091,0.671212121 +2018/04/10 20:00,0.404718153,0,0.55586,0.74,0.644759207,0.69775023 +2018/04/10 21:00,0.3559753,0,0.61059,0.74,0.636827195,0.696372819 +2018/04/10 22:00,0.329248888,0,0.186933333,0.6,0.628328612,0.65785124 +2018/04/10 23:00,0.308040544,0,0.157463333,0.6,0.61529745,0.687511478 +2018/04/11 00:00,0.331528791,0,0.12286,0.6,0.630028329,0.682323232 +2018/04/11 01:00,0.349068209,0,0.092796667,0.6,0.618130312,0.632966024 +2018/04/11 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08:00,0.455661013,0.221633575,0.15586,0.803333333,0.505382436,0.567768595 +2018/04/13 09:00,0.465964134,0.333777193,0.445353333,0.603333333,0.444759207,0.57979798 +2018/04/13 10:00,0.463116782,0.417777898,0.6503,0.6,0.4101983,0.544077135 +2018/04/13 11:00,0.423301504,0.466573508,0.75991,0.6,0.411331445,0.566069789 +2018/04/13 12:00,0.388474867,0.535235621,0.808673333,0.6,0.623229462,0.586960514 +2018/04/13 13:00,0.392416688,0.554357308,0.845083333,0.6,0.660056657,0.593067034 +2018/04/13 14:00,0.426594536,0.526232033,0.799176667,0.6,0.659490085,0.513682277 +2018/04/13 15:00,0.437462699,0.41217957,0.766803333,0.6,0.668555241,0.593434343 +2018/04/13 16:00,0.494166201,0.284957841,0.788533333,0.6,0.673654391,0.599586777 +2018/04/13 17:00,0.493823037,0.079132269,0.79538,0.6,0.684985836,0.632874197 +2018/04/13 18:00,0.442439308,0.001001906,0.644033333,0.826666667,0.664589235,0.633562902 +2018/04/13 19:00,0.36640452,0,0.51243,1.001666667,0.647025496,0.633700643 +2018/04/13 20:00,0.273649,0,0.480483333,1.001666667,0.645892351,0.64738292 +2018/04/13 21:00,0.239506286,0,0.47723,1.001666667,0.64815864,0.665197429 +2018/04/13 22:00,0.244909324,0,0.09373,1.001666667,0.634560907,0.568089991 +2018/04/13 23:00,0.249470092,0,0,1.001666667,0.622096317,0.235445363 +2018/04/14 00:00,0.231815163,0,0,1.001666667,0.627195467,0.541368228 +2018/04/14 01:00,0.187647999,0,0,1.001666667,0.633427762,0.628145087 +2018/04/14 02:00,0.157892786,0,0,1.001666667,0.634560907,0.690312213 +2018/04/14 03:00,0.131274666,0,0,1.001666667,0.637393768,0.699403122 +2018/04/14 04:00,0.108783185,0,0,1.001666667,0.638526912,0.679981635 +2018/04/14 05:00,0.108085786,0,0,1.001666667,0.632294618,0.652157943 +2018/04/14 06:00,0.099595229,0.002324666,0,1,0.67082153,0.666528926 +2018/04/14 07:00,0.103928345,0.116697983,0.11935,1.001666667,0.687818697,0.68953168 +2018/04/14 08:00,0.108810138,0.403548389,0.34518,1.003333333,0.679320113,0.672451791 +2018/04/14 09:00,0.096255511,0.61737293,0.737333333,1,0.673654391,0.568135904 +2018/04/14 10:00,0.09958801,0.694192065,0.865483333,1.001666667,0.650424929,0.559550046 +2018/04/14 11:00,0.079359105,0.764570374,0.700503333,1.001666667,0.644759207,0.730486685 +2018/04/14 12:00,0.073771249,0.765228363,0.730203333,1.001666667,0.669688385,0.726629936 +2018/04/14 13:00,0.075514506,0.702884296,0.7984,1.001666667,0.672521246,0.740955005 +2018/04/14 14:00,0.101131047,0.577392331,0.790353333,1,0.675354108,0.744306703 +2018/04/14 15:00,0.117478294,0.50211506,0.773663333,1.003333333,0.682719547,0.751423324 +2018/04/14 16:00,0.160939876,0.368632944,0.831733333,1.001666667,0.692351275,0.777915519 +2018/04/14 17:00,0.204878424,0.085794911,0.795936667,1.001666667,0.698583569,0.764049587 +2018/04/14 18:00,0.255437691,0.000942891,0.675526667,1.001666667,0.654957507,0.759136823 +2018/04/14 19:00,0.240089617,0,0.614193333,1,0.649858357,0.759412305 +2018/04/14 20:00,0.241636024,0,0.598663333,1.001666667,0.650991501,0.758999082 +2018/04/14 21:00,0.272632501,0,0.59086,1.001666667,0.648725212,0.701101928 +2018/04/14 22:00,0.300888474,0,0.27029,1.001666667,0.638526912,0.682460973 +2018/04/14 23:00,0.285070654,0,0.022846667,1.001666667,0.626628895,0.679843893 +2018/04/15 00:00,0.262921375,0,0,1.001666667,0.592067989,0.676262626 +2018/04/15 01:00,0.22574216,0,0,1.001666667,0.532011331,0.665886134 +2018/04/15 02:00,0.210496602,0,0,1,0.514447592,0.665518825 +2018/04/15 03:00,0.201312496,0,0,1.001666667,0.408498584,0.664921947 +2018/04/15 04:00,0.189179967,0,0,1.001666667,0.407365439,0.664554637 +2018/04/15 05:00,0.196145775,0,0,1.001666667,0.5898017,0.663131313 +2018/04/15 06:00,0.193781164,0.002939241,0,1.001666667,0.690084986,0.667998163 +2018/04/15 07:00,0.188144697,0.157678454,0,1.001666667,0.720679887,0.718686869 +2018/04/15 08:00,0.153645823,0.476538981,0.306786667,1.001666667,0.744475921,0.740955005 +2018/04/15 09:00,0.124098531,0.658057645,0.87272,1.001666667,0.744475921,0.736363636 +2018/04/15 10:00,0.104162255,0.749617078,0.908716667,1,0.733711048,0.738980716 +2018/04/15 11:00,0.108227769,0.795573162,0.890793333,1.001666667,0.733144476,0.729706152 +2018/04/15 12:00,0.106873881,0.798484592,0.85129,1.001666667,0.732011331,0.725390266 +2018/04/15 13:00,0.127970564,0.673835123,0.79764,1.001666667,0.729745042,0.716437098 +2018/04/15 14:00,0.180190305,0.596497059,0.791406667,1.001666667,0.728045326,0.691138659 +2018/04/15 15:00,0.246587606,0.518252057,0.71293,1.001666667,0.728611898,0.711157025 +2018/04/15 16:00,0.311927016,0.316428683,0.84706,1.001666667,0.726345609,0.70922865 +2018/04/15 17:00,0.343746992,0.077228173,0.74492,1.001666667,0.70368272,0.697612489 +2018/04/15 18:00,0.405759198,0.001373636,0.622616667,1.001666667,0.661189802,0.69687787 +2018/04/15 19:00,0.386817762,0,0.61627,1.001666667,0.64815864,0.696556474 +2018/04/15 20:00,0.321136631,0,0.61475,1.001666667,0.643626062,0.696189164 +2018/04/15 21:00,0.293193019,0,0.563513333,1.001666667,0.647592068,0.684067952 +2018/04/15 22:00,0.264397513,0,0.16351,1,0.619263456,0.672222222 +2018/04/15 23:00,0.270508538,0,0.127046667,1.001666667,0.636260623,0.687235996 +2018/04/16 00:00,0.263276091,0,0.125753333,1.001666667,0.567705382,0.658815427 +2018/04/16 01:00,0.256708315,0,0.044543333,1.001666667,0.507082153,0.678879706 +2018/04/16 02:00,0.232771018,0,0,1.001666667,0.509915014,0.671533517 +2018/04/16 03:00,0.254422636,0,0,1.001666667,0.511614731,0.661157025 +2018/04/16 04:00,0.280642724,0,0,1.001666667,0.626628895,0.641827365 +2018/04/16 05:00,0.303042758,0,0,1.003333333,0.671388102,0.644306703 +2018/04/16 06:00,0.318218047,0.000814685,0,1.003333333,0.692917847,0.644582185 +2018/04/16 07:00,0.302794891,0.04307111,0,1.003333333,0.697450425,0.654315886 +2018/04/16 08:00,0.242839747,0.141348808,0,1.001666667,0.683852691,0.617998163 +2018/04/16 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20:00,0.582998672,0,0.613026667,1.001666667,0.635694051,0.656703398 +2018/04/18 21:00,0.558439539,0,0.455506667,1,0.630028329,0.622451791 +2018/04/18 22:00,0.47666625,0,0.01578,1.001666667,0.61529745,0.624150597 +2018/04/18 23:00,0.411191113,0,0,1,0.603399433,0.614279155 +2018/04/19 00:00,0.380404001,0,0,1.003333333,0.603966006,0.6043618 +2018/04/19 01:00,0.30648018,0,0,1,0.607365439,0.597612489 +2018/04/19 02:00,0.22685203,0,0,1,0.606798867,0.59825528 +2018/04/19 03:00,0.186099186,0,0,1.003333333,0.614164306,0.607667585 +2018/04/19 04:00,0.176501646,0,0,1.003333333,0.620963173,0.616253444 +2018/04/19 05:00,0.229524671,0,0,1.001666667,0.644192635,0.598943985 +2018/04/19 06:00,0.250327763,0.002418955,0,0.961666667,0.675354108,0.601423324 +2018/04/19 07:00,0.224235219,0.145121728,0,1.001666667,0.676487252,0.612855831 +2018/04/19 08:00,0.199978342,0.468008873,0.040926667,1.001666667,0.673654391,0.564233242 +2018/04/19 09:00,0.225763818,0.667276945,0.27649,1.001666667,0.669121813,0.561983471 +2018/04/19 10:00,0.227277496,0.765064883,0.323806667,1.001666667,0.649858357,0.654224059 +2018/04/19 11:00,0.228710317,0.821926617,0.194973333,1.001666667,0.643626062,0.681634527 +2018/04/19 12:00,0.224505227,0.846466195,0.17925,1.001666667,0.652124646,0.63553719 +2018/04/19 13:00,0.221728626,0.833408855,0.316603333,1.001666667,0.653824363,0.606014692 +2018/04/19 14:00,0.229616118,0.768021761,0.39478,0.918333333,0.649291785,0.673507805 +2018/04/19 15:00,0.224563464,0.664261052,0.615803333,0.851666667,0.645892351,0.700459137 +2018/04/19 16:00,0.214936084,0.448081998,0.813923333,0.851666667,0.656657224,0.714279155 +2018/04/19 17:00,0.193965982,0.123508503,0.831496667,0.851666667,0.669121813,0.713406795 +2018/04/19 18:00,0.201572878,0.001223723,0.65313,0.853333333,0.647592068,0.713865932 +2018/04/19 19:00,0.214157346,0,0.525706667,0.851666667,0.630594901,0.713314968 +2018/04/19 20:00,0.196297384,0,0.46994,0.851666667,0.634560907,0.713452709 +2018/04/19 21:00,0.184333308,0,0.33894,0.851666667,0.605665722,0.712764004 +2018/04/19 22:00,0.160141886,0,0.136033333,0.788333333,0.604532578,0.720936639 +2018/04/19 23:00,0.148676434,0,0.135073333,0.85,0.597167139,0.725482094 +2018/04/20 00:00,0.116817473,0,0.13518,0.853333333,0.603399433,0.718732782 +2018/04/20 01:00,0.098211982,0,0.135573333,1.001666667,0.630028329,0.710238751 +2018/04/20 02:00,0.080966155,0,0.071013333,0.851666667,0.631728045,0.735583104 +2018/04/20 03:00,0.050613653,0,0,0.851666667,0.636260623,0.722222222 +2018/04/20 04:00,0.034713051,0,0,0.851666667,0.647592068,0.713774105 +2018/04/20 05:00,0.041751054,0,0,0.851666667,0.672521246,0.723324151 +2018/04/20 06:00,0.050929865,0.00112672,0,0.851666667,0.699716714,0.730853994 +2018/04/20 07:00,0.0526351,0.148895326,0,0.851666667,0.700849858,0.724609734 +2018/04/20 08:00,0.055905512,0.471086495,0.21609,1.001666667,0.685552408,0.717539027 +2018/04/20 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20:00,0.082094796,0,0.65491,0.851666667,0.635694051,0.89389348 +2018/04/20 21:00,0.066982077,0,0.629973333,0.851666667,0.644192635,0.893663912 +2018/04/20 22:00,0.044394336,0,0.264213333,0.851666667,0.622096317,0.894582185 +2018/04/20 23:00,0.04225786,0,0.13507,0.851666667,0.620963173,0.894628099 +2018/04/21 00:00,0.043964538,0,0.13371,0.851666667,0.625495751,0.894582185 +2018/04/21 01:00,0.038343954,0,0.13225,0.845,0.320679887,0.894306703 +2018/04/21 02:00,0.052232736,0,0.13093,0.851666667,0.02776204,0.894123049 +2018/04/21 03:00,0.062875652,0,0.04553,0.851666667,0.311048159,0.894031221 +2018/04/21 04:00,0.062193655,0,0,0.853333333,0.380736544,0.894352617 +2018/04/21 05:00,0.065271066,0,0,0.85,0.379603399,0.894674013 +2018/04/21 06:00,0.074071578,0.001050068,0,0.851666667,0.411331445,0.894903581 +2018/04/21 07:00,0.081915754,0.136942999,0,0.851666667,0.45325779,0.894903581 +2018/04/21 08:00,0.084803053,0.457358278,0.197913333,0.851666667,0.692917847,0.894857668 +2018/04/21 09:00,0.074000347,0.642735333,0.870853333,0.851666667,0.693484419,0.894352617 +2018/04/21 10:00,0.059721233,0.742754326,0.948976667,0.851666667,0.676487252,0.882598714 +2018/04/21 11:00,0.052718364,0.792726853,0.94219,0.781666667,0.677620397,0.881129477 +2018/04/21 12:00,0.039479814,0.806252247,0.909433333,0.736666667,0.678753541,0.891460055 +2018/04/21 13:00,0.047360568,0.796252858,0.888596667,0.851666667,0.679886686,0.893480257 +2018/04/21 14:00,0.058621951,0.738905433,0.89654,0.851666667,0.676487252,0.893434343 +2018/04/21 15:00,0.082039928,0.637712914,0.942346667,0.851666667,0.677620397,0.893204775 +2018/04/21 16:00,0.118402865,0.43852285,0.967406667,0.945,0.685552408,0.893801653 +2018/04/21 17:00,0.167228019,0.116710872,0.82512,1.001666667,0.694617564,0.893296602 +2018/04/21 18:00,0.240193578,0.000948317,0.68039,1.001666667,0.663456091,0.89389348 +2018/04/21 19:00,0.185342106,0,0.65973,1.001666667,0.652691218,0.892975207 +2018/04/21 20:00,0.14268862,0,0.645603333,1.001666667,0.645325779,0.89338843 +2018/04/21 21:00,0.178201586,0,0.631726667,1.001666667,0.650424929,0.893801653 +2018/04/21 22:00,0.196959648,0,0.226853333,1.003333333,0.624929178,0.8912764 +2018/04/21 23:00,0.209220203,0,0.1336,1.001666667,0.608498584,0.872635445 +2018/04/22 00:00,0.198048823,0,0.133436667,1.001666667,0.607932011,0.873140496 +2018/04/22 01:00,0.16808569,0,0.13234,1.001666667,0.611331445,0.8728191 +2018/04/22 02:00,0.17002291,0,0.13271,1.001666667,0.612464589,0.872727273 +2018/04/22 03:00,0.136850009,0,0.024593333,1.001666667,0.618130312,0.873002755 +2018/04/22 04:00,0.109785245,0,0,1.001666667,0.631161473,0.873048669 +2018/04/22 05:00,0.087647036,0,0,1.001666667,0.628895184,0.874471993 +2018/04/22 06:00,0.077533065,0.001838298,0,1.001666667,0.682152975,0.892929293 +2018/04/22 07:00,0.081113432,0.14386341,0,1.001666667,0.707082153,0.89338843 +2018/04/22 08:00,0.065987236,0.486643513,0.280413333,1.003333333,0.712181303,0.893847567 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20:00,0.13028512,0,0.65322,1.001666667,0.645892351,0.891092746 +2018/04/22 21:00,0.099036925,0,0.61883,1.001666667,0.652124646,0.890036731 +2018/04/22 22:00,0.094926169,0,0.205233333,1.003333333,0.608498584,0.889302112 +2018/04/22 23:00,0.089568854,0,0.136143333,1.003333333,0.616430595,0.888475666 +2018/04/23 00:00,0.075330651,0,0.138383333,1.001666667,0.620963173,0.88953168 +2018/04/23 01:00,0.059478659,0,0.138313333,1.001666667,0.622096317,0.88865932 +2018/04/23 02:00,0.056305951,0,0.08959,1.001666667,0.624362606,0.88865932 +2018/04/23 03:00,0.055471382,0,0,1.001666667,0.628328612,0.88865932 +2018/04/23 04:00,0.056941263,0,0,1,0.631728045,0.887465565 +2018/04/23 05:00,0.07590195,0,0,1.003333333,0.669688385,0.886317723 +2018/04/23 06:00,0.108919874,0.001745365,0,1.001666667,0.705382436,0.885996327 +2018/04/23 07:00,0.176074736,0.13256568,0,1.001666667,0.698016997,0.886363636 +2018/04/23 08:00,0.235480238,0.454965099,0.20394,1.001666667,0.682719547,0.8859045 +2018/04/23 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20:00,0.556407504,0,0.52074,1.001666667,0.657223796,0.894214876 +2018/04/25 21:00,0.526399611,0,0.457303333,0.998333333,0.677620397,0.894582185 +2018/04/25 22:00,0.609985465,0,0.13312,0.998333333,0.647592068,0.894811754 +2018/04/25 23:00,0.663623106,0,0.125083333,0.996666667,0.585835694,0.89513315 +2018/04/26 00:00,0.693416822,0,0.124453333,0.99,0.436260623,0.871854913 +2018/04/26 01:00,0.686993916,0,0.070223333,1,0.379603399,0.830486685 +2018/04/26 02:00,0.629870242,0,0,0.996666667,0.380736544,0.830808081 +2018/04/26 03:00,0.665886645,0,0,0.996666667,0.389235127,0.830808081 +2018/04/26 04:00,0.660769497,0,0,1.001666667,0.392067989,0.830440771 +2018/04/26 05:00,0.604368731,0,0,1.003333333,0.68101983,0.830486685 +2018/04/26 06:00,0.541429066,0.001629369,0,1.003333333,0.709915014,0.852387511 +2018/04/26 07:00,0.46437056,0.095017603,0,1.003333333,0.712181303,0.873048669 +2018/04/26 08:00,0.505919951,0.400956457,0.077476667,1.001666667,0.69121813,0.873278237 +2018/04/26 09:00,0.606515796,0.571073607,0.596586667,1.001666667,0.724645892,0.874334252 +2018/04/26 10:00,0.765854879,0.670421045,0.585336667,1.001666667,0.722946176,0.873875115 +2018/04/26 11:00,0.745175962,0.76785489,0.720416667,1.003333333,0.725212465,0.87369146 +2018/04/26 12:00,0.715439039,0.792754665,0.84751,1.001666667,0.704815864,0.873278237 +2018/04/26 13:00,0.745915234,0.779655947,0.899313333,1.001666667,0.709915014,0.874196511 +2018/04/26 14:00,0.71784456,0.699643194,0.92903,1.001666667,0.706515581,0.874012856 +2018/04/26 15:00,0.664423503,0.583605912,0.963046667,1.001666667,0.692917847,0.873507805 +2018/04/26 16:00,0.616672603,0.364911579,0.967006667,1.003333333,0.697450425,0.874609734 +2018/04/26 17:00,0.548524344,0.077840034,0.800266667,1.001666667,0.701416431,0.874150597 +2018/04/26 18:00,0.47636207,0.000550133,0.684426667,1.003333333,0.651558074,0.875895317 +2018/04/26 19:00,0.51534663,0,0.655836667,1.001666667,0.639093484,0.872910927 +2018/04/26 20:00,0.494190266,0,0.622653333,1.001666667,0.641359773,0.871900826 +2018/04/26 21:00,0.455157577,0,0.50674,1.001666667,0.675354108,0.872451791 +2018/04/26 22:00,0.463749687,0,0.174193333,1.001666667,0.627195467,0.8728191 +2018/04/26 23:00,0.430429028,0,0.02496,1.001666667,0.620396601,0.873094582 +2018/04/27 00:00,0.382139557,0,0,0.94,0.640793201,0.873002755 +2018/04/27 01:00,0.317979805,0,0,0.416666667,0.645325779,0.872681359 +2018/04/27 02:00,0.251225382,0,0,0.401666667,0.64305949,0.872451791 +2018/04/27 03:00,0.254809599,0,0,0.401666667,0.645325779,0.872681359 +2018/04/27 04:00,0.248285621,0,0,0.42,0.633427762,0.872038567 +2018/04/27 05:00,0.220485436,0,0,0.966666667,0.637393768,0.872084481 +2018/04/27 06:00,0.174641915,0.001582564,0,1.001666667,0.67082153,0.871717172 +2018/04/27 07:00,0.153004736,0.095023708,0,1.001666667,0.685552408,0.873370064 +2018/04/27 08:00,0.116965231,0.371665796,0,1.001666667,0.684985836,0.87456382 +2018/04/27 09:00,0.097895289,0.561062007,0,1.001666667,0.699716714,0.873829201 +2018/04/27 10:00,0.10479131,0.655361928,0.009603333,1.001666667,0.684419263,0.873415978 +2018/04/27 11:00,0.163249138,0.715774764,0.189776667,1.001666667,0.662889518,0.890220386 +2018/04/27 12:00,0.181427238,0.714133185,0.359056667,1.001666667,0.665155807,0.893572084 +2018/04/27 13:00,0.191642281,0.701550004,0.400286667,1.001666667,0.680453258,0.889393939 +2018/04/27 14:00,0.204544886,0.65009395,0.529323333,1.003333333,0.668555241,0.85312213 +2018/04/27 15:00,0.212153226,0.508971706,0.657363333,1.001666667,0.672521246,0.876446281 +2018/04/27 16:00,0.20404915,0.309848798,0.676136667,1.001666667,0.682152975,0.89214876 +2018/04/27 17:00,0.212396281,0.061698967,0.692746667,1.001666667,0.692917847,0.873048669 +2018/04/27 18:00,0.235254991,0.000390045,0.516703333,1.001666667,0.654957507,0.872681359 +2018/04/27 19:00,0.242847929,0,0.423413333,1.001666667,0.644759207,0.872773186 +2018/04/27 20:00,0.252177868,0,0.339056667,1.001666667,0.644192635,0.872910927 +2018/04/27 21:00,0.24468889,0,0.329926667,1.001666667,0.65325779,0.872956841 +2018/04/27 22:00,0.2733299,0,0.041436667,0.98,0.628328612,0.894490358 +2018/04/27 23:00,0.328291589,0,0,1.003333333,0.581869688,0.894811754 +2018/04/28 00:00,0.368761431,0,0,0.91,0.355807365,0.895041322 +2018/04/28 01:00,0.291306817,0,0,0.308333333,0.360906516,0.89476584 +2018/04/28 02:00,0.206781953,0,0,0.195,0.36713881,0.894857668 +2018/04/28 03:00,0.112853994,0,0,0.013333333,0.367705382,0.894719927 +2018/04/28 04:00,0.384151377,0,0,0.245,0.356373938,0.894628099 +2018/04/28 05:00,0.438740061,0,0,0.65,0.373937677,0.894352617 +2018/04/28 06:00,0.430260574,0.001399413,0,0.821666667,0.660623229,0.893572084 +2018/04/28 07:00,0.390166625,0.082167156,0,1,0.709348442,0.894444444 +2018/04/28 08:00,0.333285043,0.326847964,0.006453333,1.003333333,0.712747875,0.895913682 +2018/04/28 09:00,0.365177695,0.528789369,0.172846667,1.003333333,0.705949008,0.885169881 +2018/04/28 10:00,0.466899293,0.655322584,0.580706667,1,0.681586402,0.892240588 +2018/04/28 11:00,0.428190998,0.747430114,0.705116667,1,0.694050992,0.895362718 +2018/04/28 12:00,0.385375315,0.784689898,0.755743333,1.001666667,0.70368272,0.894995409 +2018/04/28 13:00,0.364143388,0.770094086,0.865496667,1.001666667,0.67592068,0.895546373 +2018/04/28 14:00,0.359727971,0.675269809,0.96075,1.001666667,0.678186969,0.89513315 +2018/04/28 15:00,0.301349556,0.560319226,0.967106667,1.001666667,0.673087819,0.894536272 +2018/04/28 16:00,0.265683538,0.341846031,0.958336667,1.003333333,0.672521246,0.893663912 +2018/04/28 17:00,0.262610939,0.067289155,0.82052,1.003333333,0.688385269,0.893847567 +2018/04/28 18:00,0.273739002,0.000288972,0.660713333,1,0.649291785,0.893801653 +2018/04/28 19:00,0.259319831,0,0.63068,1.001666667,0.653824363,0.893204775 +2018/04/28 20:00,0.212131086,0,0.629956667,1,0.649858357,0.893572084 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10:00,0.142152456,0.733961701,0.90514,1.001666667,0.718413598,0.894168962 +2018/04/29 11:00,0.178749302,0.801501842,0.90693,1.001666667,0.724645892,0.894306703 +2018/04/29 12:00,0.21454142,0.812073071,0.81299,1.001666667,0.721813031,0.894398531 +2018/04/29 13:00,0.285450879,0.783894206,0.72733,1.001666667,0.717847025,0.89426079 +2018/04/29 14:00,0.339093333,0.696554718,0.78461,1.001666667,0.721813031,0.894536272 +2018/04/29 15:00,0.389809503,0.531436246,0.781783333,1.003333333,0.720679887,0.894123049 +2018/04/29 16:00,0.445251044,0.310257837,0.797163333,1.001666667,0.712747875,0.89389348 +2018/04/29 17:00,0.440247002,0.062387481,0.71848,1.001666667,0.684985836,0.894123049 +2018/04/29 18:00,0.400654082,0.000380548,0.634176667,1.001666667,0.640226629,0.89389348 +2018/04/29 19:00,0.463167799,0,0.592233333,1.001666667,0.630594901,0.893480257 +2018/04/29 20:00,0.545240937,0,0.582386667,1.001666667,0.650424929,0.893801653 +2018/04/29 21:00,0.537062261,0,0.460246667,1.001666667,0.658923513,0.894031221 +2018/04/29 22:00,0.477351135,0,0.144563333,1.001666667,0.633427762,0.894398531 +2018/04/29 23:00,0.427559536,0,0.00021,1.001666667,0.637393768,0.87681359 +2018/04/30 00:00,0.39645573,0,0,1,0.470254958,0.872635445 +2018/04/30 01:00,0.309973432,0,0,1.003333333,0.335977337,0.872543618 +2018/04/30 02:00,0.286026991,0,0,0.828333333,0.336543909,0.872956841 +2018/04/30 03:00,0.306513871,0,0,1,0.32917847,0.872727273 +2018/04/30 04:00,0.36536155,0,0,1.001666667,0.483286119,0.872727273 +2018/04/30 05:00,0.341576343,0,0,1.003333333,0.659490085,0.871808999 +2018/04/30 06:00,0.306874844,0.00127392,0,1.001666667,0.68611898,0.872359963 +2018/04/30 07:00,0.259117687,0.085923795,0,1.001666667,0.702549575,0.871808999 +2018/04/30 08:00,0.231227018,0.363574573,0.08433,1.001666667,0.687252125,0.860009183 +2018/04/30 09:00,0.235100495,0.552999274,0.802603333,1.001666667,0.683852691,0.83503214 +2018/04/30 10:00,0.223156152,0.719795277,0.92081,1.001666667,0.669688385,0.804040404 +2018/04/30 11:00,0.212786612,0.708273018,0.914333333,1.001666667,0.674220963,0.656060606 +2018/04/30 12:00,0.198658626,0.717606957,0.91179,1.001666667,0.690084986,0.744077135 +2018/04/30 13:00,0.180315442,0.690562953,0.91774,1.001666667,0.69121813,0.856290174 +2018/04/30 14:00,0.190908303,0.591316587,0.90652,1.001666667,0.688385269,0.826033058 +2018/04/30 15:00,0.21150155,0.497630563,0.89339,1.001666667,0.675354108,0.733241506 +2018/04/30 16:00,0.260965866,0.293325826,0.89563,1.001666667,0.683852691,0.813131313 +2018/04/30 17:00,0.324355544,0.050220121,0.776446667,1.003333333,0.684419263,0.893755739 +2018/04/30 18:00,0.394058391,6.78E-07,0.65641,1.001666667,0.64815864,0.893755739 +2018/04/30 19:00,0.372544424,0,0.625876667,1.001666667,0.641926346,0.893204775 +2018/04/30 20:00,0.33224833,0,0.602113333,1.001666667,0.640793201,0.892883379 +2018/04/30 21:00,0.28576324,0,0.468413333,1.003333333,0.675354108,0.892883379 +2018/04/30 22:00,0.22235383,0,0.14187,1.001666667,0.659490085,0.892561983 +2018/04/30 23:00,0.18591533,0,0.066066667,1,0.664022663,0.893112948 +2018/05/01 00:00,0.184322719,0,0,1.003333333,0.690651558,0.892745638 +2018/05/01 01:00,0.194602256,0,0,1.001666667,0.68101983,0.893158861 +2018/05/01 02:00,0.244257648,0,0,1.001666667,0.692351275,0.893112948 +2018/05/01 03:00,0.278015324,0,0,1.003333333,0.69631728,0.893296602 +2018/05/01 04:00,0.297536242,0,0,1.001666667,0.699150142,0.892837466 +2018/05/01 05:00,0.360638103,0,0,1.001666667,0.676487252,0.893204775 +2018/05/01 06:00,0.425634349,0.001119937,0,1.003333333,0.700849858,0.892745638 +2018/05/01 07:00,0.464459119,0.092981909,0,0.853333333,0.720113314,0.893158861 +2018/05/01 08:00,0.441141251,0.39423887,0.082733333,0.853333333,0.692917847,0.893204775 +2018/05/01 09:00,0.448212945,0.605851349,0.590656667,0.851666667,0.708215297,0.894031221 +2018/05/01 10:00,0.442431126,0.722474037,0.77384,0.85,0.709915014,0.894582185 +2018/05/01 11:00,0.461949637,0.761746451,0.687266667,0.85,0.723512748,0.89389348 +2018/05/01 12:00,0.527181237,0.771824527,0.628456667,0.851666667,0.720679887,0.880257117 +2018/05/01 13:00,0.508821208,0.700214355,0.632516667,0.851666667,0.728611898,0.872589532 +2018/05/01 14:00,0.407229559,0.634765532,0.54568,0.853333333,0.751274788,0.878099174 +2018/05/01 15:00,0.335497083,0.522745372,0.401866667,0.851666667,0.732577904,0.893480257 +2018/05/01 16:00,0.281553337,0.292838779,0.409186667,1.001666667,0.732011331,0.894031221 +2018/05/01 17:00,0.197326396,0.047734688,0.503103333,1.003333333,0.698016997,0.893112948 +2018/05/01 18:00,0.182885086,0.000206215,0.472783333,1.001666667,0.644759207,0.892791552 +2018/05/01 19:00,0.209839151,0,0.455103333,0.996666667,0.66572238,0.893112948 +2018/05/01 20:00,0.22345985,0,0.425493333,1.001666667,0.647025496,0.892791552 +2018/05/01 21:00,0.234701018,0,0.2162,1.001666667,0.678753541,0.892791552 +2018/05/01 22:00,0.271824404,0,0,1.001666667,0.709348442,0.892883379 +2018/05/01 23:00,0.351792831,0,0,1.001666667,0.707082153,0.892791552 +2018/05/02 00:00,0.412203762,0,0,1.001666667,0.708215297,0.893342516 +2018/05/02 01:00,0.499697746,0,0,0.998333333,0.63796034,0.89338843 +2018/05/02 02:00,0.514387887,0,0,1.001666667,0.446458924,0.89302112 +2018/05/02 03:00,0.531822864,0,0,1.001666667,0.444192635,0.892883379 +2018/05/02 04:00,0.491445912,0,0,1.003333333,0.662322946,0.892699725 +2018/05/02 05:00,0.42488497,0,0,1,0.704249292,0.89251607 +2018/05/02 06:00,0.448798202,0.001238646,0,1.001666667,0.674220963,0.892240588 +2018/05/02 07:00,0.462975281,0.090275338,0,1.001666667,0.657790368,0.893342516 +2018/05/02 08:00,0.489959667,0.331328391,0.019176667,1.001666667,0.660623229,0.892286501 +2018/05/02 09:00,0.536850971,0.503754604,0.366246667,0.528333333,0.674787535,0.892424242 +2018/05/02 10:00,0.554366806,0.65247831,0.7138,0.2,0.657223796,0.89389348 +2018/05/02 11:00,0.570963845,0.727704706,0.771796667,0.2,0.661189802,0.893526171 +2018/05/02 12:00,0.566410777,0.732088808,0.527746667,0.26,0.669121813,0.893480257 +2018/05/02 13:00,0.58466444,0.680894593,0.478103333,0.245,0.693484419,0.893296602 +2018/05/02 14:00,0.62440993,0.57521622,0.509303333,0.226666667,0.69631728,0.891046832 +2018/05/02 15:00,0.593528483,0.466471079,0.548453333,0.21,0.687252125,0.893112948 +2018/05/02 16:00,0.522487149,0.248087424,0.688873333,0.401666667,0.694050992,0.893755739 +2018/05/02 17:00,0.480879522,0.038325453,0.73273,0.378333333,0.685552408,0.893204775 +2018/05/02 18:00,0.474892671,0.000187221,0.581833333,1,0.627195467,0.894031221 +2018/05/02 19:00,0.48078615,0,0.472096667,0.816666667,0.623229462,0.89426079 +2018/05/02 20:00,0.579424562,0,0.3479,0.401666667,0.660623229,0.893709826 +2018/05/02 21:00,0.529256589,0,0.288736667,0.401666667,0.688385269,0.894123049 +2018/05/02 22:00,0.451621008,0,0,0.405,0.667988669,0.893847567 +2018/05/02 23:00,0.466977745,0,0,0.401666667,0.682719547,0.884573003 +2018/05/03 00:00,0.43100514,0,0,0.401666667,0.700283286,0.872451791 +2018/05/03 01:00,0.38246732,0,0,0.401666667,0.696883853,0.873140496 +2018/05/03 02:00,0.374521591,0,0,0.401666667,0.695184136,0.872865014 +2018/05/03 03:00,0.425977514,0,0,0.401666667,0.716147309,0.87318641 +2018/05/03 04:00,0.480584006,0,0,0.401666667,0.717847025,0.872497704 +2018/05/03 05:00,0.43926275,0,0,0.401666667,0.712747875,0.872222222 +2018/05/03 06:00,0.435159694,0.000941534,0,0.403333333,0.790934844,0.872865014 +2018/05/03 07:00,0.500106367,0.109869148,0,0.52,0.796033994,0.865289256 +2018/05/03 08:00,0.481170706,0.451677192,0.071446667,0.551666667,0.769971671,0.850596878 +2018/05/03 09:00,0.404166105,0.652063167,0.74227,0.551666667,0.764872521,0.851056015 +2018/05/03 10:00,0.360149106,0.76784268,0.89252,0.551666667,0.779603399,0.806152433 +2018/05/03 11:00,0.358568046,0.816170236,0.871416667,0.538333333,0.755240793,0.795592287 +2018/05/03 12:00,0.317434496,0.818212035,0.858573333,0.445,0.741076487,0.770707071 +2018/05/03 13:00,0.23960062,0.805778088,0.859973333,0.401666667,0.755240793,0.687327824 +2018/05/03 14:00,0.254712858,0.750932376,0.843153333,0.401666667,0.752974504,0.685307622 +2018/05/03 15:00,0.268592496,0.63443993,0.850386667,0.401666667,0.735410765,0.79040404 +2018/05/03 16:00,0.277564831,0.383926767,0.9327,0.401666667,0.758073654,0.872543618 +2018/05/03 17:00,0.253489883,0.067341387,0.788876667,0.703333333,0.767705382,0.871808999 +2018/05/03 18:00,0.258854417,0.000212998,0.627916667,1.005,0.728611898,0.871579431 +2018/05/03 19:00,0.257054367,0,0.608046667,0.55,0.740509915,0.870844812 +2018/05/03 20:00,0.209572512,0,0.565556667,0.401666667,0.774504249,0.869834711 +2018/05/03 21:00,0.194869376,0,0.4701,0.401666667,0.747308782,0.865472911 +2018/05/03 22:00,0.211980921,0,0.195313333,0.401666667,0.699150142,0.83328742 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11:00,0.141438692,0.817539123,0.837076667,0.551666667,0.706515581,0.855647383 +2018/05/04 12:00,0.149735287,0.831976204,0.81869,0.421666667,0.717280453,0.788429752 +2018/05/04 13:00,0.141780413,0.807841594,0.82861,0.401666667,0.741643059,0.727869605 +2018/05/04 14:00,0.130891073,0.747795739,0.838186667,0.403333333,0.738810198,0.798898072 +2018/05/04 15:00,0.154151185,0.630599176,0.844336667,0.403333333,0.742209632,0.603764922 +2018/05/04 16:00,0.180171534,0.398888881,0.92239,0.401666667,0.737677054,0.831772268 +2018/05/04 17:00,0.218067882,0.071553192,0.756416667,0.553333333,0.711614731,0.863498623 +2018/05/04 18:00,0.238059026,0.000219782,0.648463333,0.971666667,0.660056657,0.861662075 +2018/05/04 19:00,0.221064917,0,0.559743333,0.7,0.656657224,0.862488522 +2018/05/04 20:00,0.190855842,0,0.47012,0.401666667,0.689518414,0.861983471 +2018/05/04 21:00,0.173285139,0,0.469816667,0.006666667,0.71388102,0.863177227 +2018/05/04 22:00,0.160932176,0,0.189556667,0,0.688951841,0.862534435 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12:00,0.203754596,0.799855514,0.79217,0,0.689518414,0.862855831 +2018/05/05 13:00,0.180974819,0.794101167,0.791823333,0,0.67082153,0.862672176 +2018/05/05 14:00,0.172314364,0.736683874,0.801923333,0,0.660056657,0.862121212 +2018/05/05 15:00,0.163809368,0.619384883,0.897873333,0,0.664589235,0.862534435 +2018/05/05 16:00,0.15839141,0.376349046,0.948646667,0,0.700849858,0.862672176 +2018/05/05 17:00,0.106127871,0.063757046,0.73668,0.328333333,0.69121813,0.861753903 +2018/05/05 18:00,0.090080473,0.000175011,0.636896667,0.838333333,0.658923513,0.83728191 +2018/05/05 19:00,0.093705119,0,0.556356667,0.755,0.650991501,0.820064279 +2018/05/05 20:00,0.143193501,0,0.48217,0.415,0.646458924,0.820477502 +2018/05/05 21:00,0.242540381,0,0.434873333,0.01,0.701416431,0.825528007 +2018/05/05 22:00,0.263340104,0,0.133323333,0,0.699716714,0.826859504 +2018/05/05 23:00,0.245918122,0,0.129966667,0,0.698016997,0.828099174 +2018/05/06 00:00,0.186024103,0,0.089873333,0,0.710481586,0.809687787 +2018/05/06 01:00,0.194667713,0,0,0,0.720679887,0.743985308 +2018/05/06 02:00,0.268189169,0,0,0,0.728611898,0.618181818 +2018/05/06 03:00,0.304087172,0,0,0,0.721813031,0.673140496 +2018/05/06 04:00,0.247277304,0,0,0,0.700283286,0.760146924 +2018/05/06 05:00,0.243685867,0,0,0,0.739376771,0.789623508 +2018/05/06 06:00,0.230294265,0.000761774,0,0,0.75184136,0.807300275 +2018/05/06 07:00,0.191327032,0.097836778,0,0.345,0.75694051,0.828236915 +2018/05/06 08:00,0.161998729,0.43644442,0.118043333,0.543333333,0.746175637,0.827915519 +2018/05/06 09:00,0.139817203,0.641740888,0.6349,0.548333333,0.75184136,0.827272727 +2018/05/06 10:00,0.154645958,0.740473073,0.83368,0.35,0.756373938,0.827272727 +2018/05/06 11:00,0.203815721,0.785079942,0.863596667,0.15,0.773937677,0.823048669 +2018/05/06 12:00,0.179318676,0.798086407,0.85627,0.003333333,0.743342776,0.853305785 +2018/05/06 13:00,0.16817088,0.775328825,0.856306667,0,0.74674221,0.861707989 +2018/05/06 14:00,0.157679091,0.702483398,0.860213333,0,0.795467422,0.862167126 +2018/05/06 15:00,0.185023487,0.587570802,0.870396667,0,0.781303116,0.862121212 +2018/05/06 16:00,0.158686926,0.352151351,0.903296667,0,0.763172805,0.862258953 +2018/05/06 17:00,0.15028204,0.056386897,0.72994,0.34,0.70368272,0.861753903 +2018/05/06 18:00,0.132420634,0.00015127,0.63296,0.813333333,0.666288952,0.861983471 +2018/05/06 19:00,0.164518318,0,0.54486,0.836666667,0.652691218,0.861524334 +2018/05/06 20:00,0.193717151,0,0.50214,0.243333333,0.712747875,0.861157025 +2018/05/06 21:00,0.202644245,0,0.39322,0.006666667,0.747875354,0.861019284 +2018/05/06 22:00,0.21936594,0,0.127776667,0,0.733711048,0.860881543 +2018/05/06 23:00,0.255726951,0,0.127736667,0,0.766005666,0.860927456 +2018/05/07 00:00,0.323347708,0,0.07922,0,0.77223796,0.861432507 +2018/05/07 01:00,0.378843636,0,0,0,0.769405099,0.859641873 +2018/05/07 02:00,0.450915427,0,0,0,0.666855524,0.861524334 +2018/05/07 03:00,0.474736731,0,0,0,0.673654391,0.861157025 +2018/05/07 04:00,0.45749716,0,0,0,0.754674221,0.860743802 +2018/05/07 05:00,0.508909285,0,0,0,0.765439093,0.860238751 +2018/05/07 06:00,0.519138767,0.000709542,0,0,0.789235127,0.860192837 +2018/05/07 07:00,0.518057775,0.093796593,0,0.348333333,0.769971671,0.858264463 +2018/05/07 08:00,0.522719616,0.419667071,0.098893333,0.538333333,0.713314448,0.872865014 +2018/05/07 09:00,0.482722407,0.62100679,0.57477,0.55,0.694617564,0.877777778 +2018/05/07 10:00,0.456938856,0.716136997,0.750286667,0.348333333,0.692351275,0.877226814 +2018/05/07 11:00,0.564434091,0.754062231,0.67003,0.175,0.695750708,0.877410468 +2018/05/07 12:00,0.633942976,0.756077575,0.54117,0,0.69631728,0.877226814 +2018/05/07 13:00,0.560767572,0.723903296,0.545446667,0,0.725779037,0.877548209 +2018/05/07 14:00,0.589466338,0.679865553,0.554036667,0,0.726345609,0.877226814 +2018/05/07 15:00,0.629430818,0.563792998,0.472123333,0,0.715580737,0.877364555 +2018/05/07 16:00,0.605640799,0.335583609,0.63217,0,0.711614731,0.877226814 +2018/05/07 17:00,0.563694819,0.051162333,0.678963333,0.566666667,0.704815864,0.877226814 +2018/05/07 18:00,0.529624781,0.000136346,0.55752,0.95,0.677053824,0.877915519 +2018/05/07 19:00,0.501876576,0,0.48999,0.651666667,0.652124646,0.877548209 +2018/05/07 20:00,0.518026491,0,0.451016667,0.356666667,0.678753541,0.877226814 +2018/05/07 21:00,0.624572608,0,0.378213333,0.25,0.780736544,0.877961433 +2018/05/07 22:00,0.638974453,0,0.137926667,0.046666667,0.772804533,0.877869605 +2018/05/07 23:00,0.658867894,0,0.116633333,0,0.747308782,0.87805326 +2018/05/08 00:00,0.712652812,0,0,0,0.737677054,0.878099174 +2018/05/08 01:00,0.712880465,0,0,0,0.745042493,0.878604224 +2018/05/08 02:00,0.754586277,0,0,0,0.782436261,0.878099174 +2018/05/08 03:00,0.796964461,0,0,0,0.746175637,0.877777778 +2018/05/08 04:00,0.797605067,0,0,0,0.732011331,0.877594123 +2018/05/08 05:00,0.698607608,0,0,0,0.75184136,0.877594123 +2018/05/08 06:00,0.576954546,0.000721074,0,0,0.768271955,0.877548209 +2018/05/08 07:00,0.484982096,0.085016178,0,0.343333333,0.772804533,0.877594123 +2018/05/08 08:00,0.460524036,0.39269158,0.02331,0.531666667,0.754674221,0.878191001 +2018/05/08 09:00,0.453327205,0.594396245,0.21159,0.551666667,0.76713881,0.859090909 +2018/05/08 10:00,0.493601159,0.691276565,0.31346,0.353333333,0.738243626,0.877410468 +2018/05/08 11:00,0.575967407,0.731014998,0.486733333,0.166666667,0.713314448,0.882139578 +2018/05/08 12:00,0.61216237,0.747677029,0.733383333,0,0.720679887,0.88328742 +2018/05/08 13:00,0.583965597,0.714485921,0.730006667,0,0.733711048,0.88328742 +2018/05/08 14:00,0.537074293,0.656007028,0.72507,0,0.738243626,0.883103765 +2018/05/08 15:00,0.490050632,0.519606021,0.73026,0,0.71388102,0.883654729 +2018/05/08 16:00,0.435298308,0.314958723,0.897413333,0,0.712181303,0.883379247 +2018/05/08 17:00,0.39952496,0.047193374,0.761926667,0.501666667,0.716713881,0.883654729 +2018/05/08 18:00,0.415273954,0.000117353,0.662996667,1,0.688951841,0.883930211 +2018/05/08 19:00,0.413848353,0,0.530853333,0.73,0.691784703,0.883516988 +2018/05/08 20:00,0.375042354,0,0.48977,0.4,0.709915014,0.883700643 +2018/05/08 21:00,0.334868991,0,0.413646667,0.4,0.798300283,0.884251607 +2018/05/08 22:00,0.307413415,0,0.061456667,0.015,0.769971671,0.883746556 +2018/05/08 23:00,0.293226229,0,0,0,0.750141643,0.883425161 +2018/05/09 00:00,0.302120594,0,0,0,0.718413598,0.884022039 +2018/05/09 01:00,0.373429047,0,0,0,0.695184136,0.884481175 +2018/05/09 02:00,0.407693048,0,0,0,0.69121813,0.884527089 +2018/05/09 03:00,0.40359625,0,0,0,0.695750708,0.884435262 +2018/05/09 04:00,0.393264732,0,0,0,0.69631728,0.884343434 +2018/05/09 05:00,0.365192615,0,0,0,0.736543909,0.884022039 +2018/05/09 06:00,0.337879021,0.000613218,0,0.31,0.732577904,0.883838384 +2018/05/09 07:00,0.349911441,0.089012949,0,0.431666667,0.766005666,0.884297521 +2018/05/09 08:00,0.27862609,0.408772275,0.029083333,0.551666667,0.730878187,0.882874197 +2018/05/09 09:00,0.309455557,0.61217143,0.566873333,0.551666667,0.737677054,0.858264463 +2018/05/09 10:00,0.35472826,0.708043061,0.81942,0.38,0.699716714,0.857621671 +2018/05/09 11:00,0.339977475,0.758965262,0.818983333,0.21,0.701983003,0.857897153 +2018/05/09 12:00,0.355905031,0.777590406,0.815643333,0.065,0.701983003,0.854820937 +2018/05/09 13:00,0.420218798,0.764570374,0.81612,0,0.698016997,0.857024793 +2018/05/09 14:00,0.450213214,0.717904748,0.848106667,0,0.698583569,0.856657484 +2018/05/09 15:00,0.433103113,0.603717296,0.88408,0,0.712181303,0.855922865 +2018/05/09 16:00,0.364264193,0.358799748,0.941836667,0.003333333,0.712181303,0.873415978 +2018/05/09 17:00,0.328830641,0.052459995,0.762273333,0.623333333,0.745609065,0.883516988 +2018/05/09 18:00,0.311764338,0.000103786,0.673656667,1.001666667,0.684419263,0.884527089 +2018/05/09 19:00,0.266636024,0,0.655556667,0.601666667,0.707648725,0.883976125 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10:00,0.148731783,0.720321668,0.6775,0.545,0.652691218,0.879017447 +2018/05/10 11:00,0.18853936,0.758029833,0.675133333,0.161666667,0.654390935,0.877410468 +2018/05/10 12:00,0.220258745,0.775969855,0.55474,0.005,0.65325779,0.877594123 +2018/05/10 13:00,0.24994802,0.740291957,0.396356667,0,0.644192635,0.877915519 +2018/05/10 14:00,0.290756214,0.648067752,0.355446667,0,0.649291785,0.878007346 +2018/05/10 15:00,0.298408833,0.480193191,0.271726667,0,0.657223796,0.878007346 +2018/05/10 16:00,0.287449223,0.235246474,0.355173333,0.226666667,0.663456091,0.878512397 +2018/05/10 17:00,0.277769382,0.026009537,0.39711,0.636666667,0.661756374,0.878374656 +2018/05/10 18:00,0.257930327,9.02E-05,0.268576667,0.991666667,0.663456091,0.878007346 +2018/05/10 19:00,0.227694781,0,0.245553333,0.646666667,0.667988669,0.878007346 +2018/05/10 20:00,0.241571049,0,0.24424,0.4,0.637393768,0.878191001 +2018/05/10 21:00,0.250388888,0,0.17435,0.016666667,0.663456091,0.878282828 +2018/05/10 22:00,0.260454248,0,0,0,0.644192635,0.878282828 +2018/05/10 23:00,0.285982712,0,0,0,0.640793201,0.879155188 +2018/05/11 00:00,0.346989488,0,0,0,0.635694051,0.878099174 +2018/05/11 01:00,0.350798471,0,0,0,0.639660057,0.875298439 +2018/05/11 02:00,0.317775735,0,0,0,0.63796034,0.877089073 +2018/05/11 03:00,0.331901315,0,0,0,0.649291785,0.876905418 +2018/05/11 04:00,0.318392276,0,0,0,0.632294618,0.878466483 +2018/05/11 05:00,0.315099243,0,0,0,0.671388102,0.877548209 +2018/05/11 06:00,0.31359471,0.000676304,0,0,0.66572238,0.876767677 +2018/05/11 07:00,0.344236952,0.050694958,0,0.348333333,0.681586402,0.87768595 +2018/05/11 08:00,0.387435266,0.23559514,0,0.551666667,0.698016997,0.878236915 +2018/05/11 09:00,0.429304719,0.416746824,0,0.551666667,0.717847025,0.878787879 +2018/05/11 10:00,0.423579693,0.516082052,0,0.35,0.677053824,0.878191001 +2018/05/11 11:00,0.47270277,0.54341028,0.00586,0.35,0.673087819,0.878971534 +2018/05/11 12:00,0.537549814,0.538191142,0.07228,0,0.669688385,0.878282828 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02:00,0.353027357,0,0,0,0.630028329,0.875068871 +2018/05/12 03:00,0.337382804,0,0,0,0.618130312,0.876078972 +2018/05/12 04:00,0.291521475,0,0,0,0.61529745,0.875114784 +2018/05/12 05:00,0.272375007,0,0,0,0.615864023,0.874655647 +2018/05/12 06:00,0.232473096,0.000436172,0,0,0.639660057,0.874793388 +2018/05/12 07:00,0.206703983,0.048506638,0,0.338333333,0.658923513,0.877869605 +2018/05/12 08:00,0.20422723,0.306123363,0,0.54,0.659490085,0.879017447 +2018/05/12 09:00,0.249355062,0.547994492,0.291586667,0.54,0.657223796,0.87892562 +2018/05/12 10:00,0.270290992,0.657550926,0.644186667,0.356666667,0.660056657,0.879384757 +2018/05/12 11:00,0.26869068,0.708201792,0.77746,0.156666667,0.666855524,0.878787879 +2018/05/12 12:00,0.233358682,0.745393742,0.802903333,0,0.662889518,0.87681359 +2018/05/12 13:00,0.242389735,0.713419573,0.80613,0,0.680453258,0.878466483 +2018/05/12 14:00,0.264800839,0.702224272,0.80926,0,0.690651558,0.878971534 +2018/05/12 15:00,0.262296652,0.588292554,0.79772,0,0.673087819,0.877731864 +2018/05/12 16:00,0.244983925,0.326168269,0.88456,0,0.656657224,0.878374656 +2018/05/12 17:00,0.225084708,0.048706069,0.744333333,0.333333333,0.645892351,0.878191001 +2018/05/12 18:00,0.255691335,0.000102429,0.664886667,0.546666667,0.619263456,0.878833792 +2018/05/12 19:00,0.281477774,0,0.55038,0.965,0.652124646,0.878650138 +2018/05/12 20:00,0.250204551,0,0.50949,0.386666667,0.666288952,0.878879706 +2018/05/12 21:00,0.244210481,0,0.352826667,0.013333333,0.678753541,0.878741965 +2018/05/12 22:00,0.231647671,0,0.13161,0,0.650424929,0.87855831 +2018/05/12 23:00,0.212548852,0,0.113826667,0,0.658923513,0.879384757 +2018/05/13 00:00,0.174745875,0,0,0,0.629461756,0.87855831 +2018/05/13 01:00,0.169153688,0,0,0,0.648725212,0.877134986 +2018/05/13 02:00,0.146104384,0,0,0,0.554674221,0.876767677 +2018/05/13 03:00,0.124205379,0,0,0,0.464022663,0.85312213 +2018/05/13 04:00,0.118124675,0,0,0,0.469121813,0.853213958 +2018/05/13 05:00,0.108865487,0,0,0,0.541643059,0.852525253 +2018/05/13 06:00,0.080254317,0.000529104,0,0,0.647592068,0.866253444 +2018/05/13 07:00,0.113809368,0.082517857,0,0.345,0.657223796,0.874426079 +2018/05/13 08:00,0.095407466,0.382441883,0.013833333,0.615,0.665155807,0.856703398 +2018/05/13 09:00,0.038875787,0.619178668,0.126123333,0.541666667,0.671388102,0.840312213 +2018/05/13 10:00,0.023218239,0.68956783,0.201846667,0.356666667,0.664022663,0.85573921 +2018/05/13 11:00,0.026559402,0.74192404,0.224613333,0.15,0.657223796,0.871533517 +2018/05/13 12:00,0.043811486,0.694114734,0.34318,0.003333333,0.660056657,0.878282828 +2018/05/13 13:00,0.077304449,0.640339441,0.459063333,0,0.657790368,0.878099174 +2018/05/13 14:00,0.113168762,0.631963994,0.444583333,0,0.664022663,0.87855831 +2018/05/13 15:00,0.121011975,0.488152138,0.471216667,0,0.658923513,0.878191001 +2018/05/13 16:00,0.11569557,0.26751572,0.67537,0,0.656657224,0.878328742 +2018/05/13 17:00,0.135910036,0.040163751,0.56779,0.336666667,0.650991501,0.878145087 +2018/05/13 18:00,0.216575862,9.70E-05,0.472503333,0.608333333,0.647025496,0.878374656 +2018/05/13 19:00,0.282806634,0,0.36485,0.945,0.639093484,0.878191001 +2018/05/13 20:00,0.262961804,0,0.339636667,0.35,0.64305949,0.875298439 +2018/05/13 21:00,0.23971565,0,0.255666667,0.006666667,0.639093484,0.875068871 +2018/05/13 22:00,0.203530793,0,0,0,0.623796034,0.874471993 +2018/05/13 23:00,0.169948309,0,0,0,0.613597734,0.874426079 +2018/05/14 00:00,0.173855957,0,0,0,0.617563739,0.874288338 +2018/05/14 01:00,0.189179967,0,0,0,0.621529745,0.875206612 +2018/05/14 02:00,0.205336138,0,0,0,0.624362606,0.874655647 +2018/05/14 03:00,0.193605972,0,0,0,0.624929178,0.876951331 +2018/05/14 04:00,0.21804478,0,0,0,0.631728045,0.876170799 +2018/05/14 05:00,0.228623684,0,0,0,0.656090652,0.873921028 +2018/05/14 06:00,0.231091292,0.000353414,0,0,0.663456091,0.873645546 +2018/05/14 07:00,0.243142964,0.068857474,0,0.438333333,0.641926346,0.877456382 +2018/05/14 08:00,0.252084978,0.322623949,0.031203333,0.551666667,0.628328612,0.879660239 +2018/05/14 09:00,0.203192442,0.480861354,0.45001,0.551666667,0.639093484,0.881818182 +2018/05/14 10:00,0.161184856,0.595113249,0.758506667,0.231666667,0.657790368,0.880578512 +2018/05/14 11:00,0.143604528,0.62375881,0.83356,0.231666667,0.652124646,0.880578512 +2018/05/14 12:00,0.123161927,0.65369525,0.82889,0.033333333,0.65325779,0.880945822 +2018/05/14 13:00,0.11629671,0.635891574,0.833646667,0,0.661189802,0.881404959 +2018/05/14 14:00,0.141663458,0.610784906,0.84488,0,0.670254958,0.881588613 +2018/05/14 15:00,0.200925052,0.517054789,0.85058,0,0.666855524,0.881083563 +2018/05/14 16:00,0.249691007,0.305843209,0.924496667,0,0.682719547,0.880991736 +2018/05/14 17:00,0.269485301,0.042903561,0.739483333,0.563333333,0.63796034,0.880899908 +2018/05/14 18:00,0.349003234,7.33E-05,0.650756667,0.918333333,0.583569405,0.88204775 +2018/05/14 19:00,0.403287257,0,0.519406667,0.536666667,0.602266289,0.877548209 +2018/05/14 20:00,0.379174287,0,0.496256667,0.4,0.607932011,0.864692378 +2018/05/14 21:00,0.362100764,0,0.44236,0.186666667,0.62266289,0.880945822 +2018/05/14 22:00,0.360316116,0,0.123873333,0,0.660056657,0.881313131 +2018/05/14 23:00,0.34119275,0,0.102193333,0,0.698016997,0.874334252 +2018/05/15 00:00,0.318776351,0,0,0,0.645892351,0.860055096 +2018/05/15 01:00,0.316596076,0,0,0,0.641359773,0.860009183 +2018/05/15 02:00,0.287025682,0,0,0,0.611898017,0.859825528 +2018/05/15 03:00,0.304314826,0,0,0,0.615864023,0.859871442 +2018/05/15 04:00,0.315854398,0,0,0,0.594334278,0.858953168 +2018/05/15 05:00,0.315578134,0,0,0,0.609631728,0.858310376 +2018/05/15 06:00,0.294396743,1.22E-05,0,0,0.67592068,0.859641873 +2018/05/15 07:00,0.278034095,0.063282888,0,0.338333333,0.660056657,0.860514233 +2018/05/15 08:00,0.232227153,0.370435968,0.018376667,0.55,0.647025496,0.860238751 +2018/05/15 09:00,0.16729877,0.60021639,0.405743333,0.55,0.660056657,0.860238751 +2018/05/15 10:00,0.145877212,0.700487725,0.782,0.355,0.680453258,0.860284665 +2018/05/15 11:00,0.1262172,0.747025824,0.82954,0.191666667,0.675354108,0.860055096 +2018/05/15 12:00,0.069751458,0.761641308,0.829536667,0.005,0.679320113,0.857713499 +2018/05/15 13:00,0.05290607,0.737084772,0.832913333,0,0.683286119,0.859733701 +2018/05/15 14:00,0.071347439,0.691031685,0.831036667,0,0.679886686,0.859779614 +2018/05/15 15:00,0.093826887,0.567340031,0.835373333,0,0.670254958,0.873737374 +2018/05/15 16:00,0.120682768,0.32484076,0.92516,0.09,0.684985836,0.889439853 +2018/05/15 17:00,0.231320871,0.04216485,0.748753333,0.736666667,0.648725212,0.880073462 +2018/05/15 18:00,0.292668887,9.90E-05,0.659176667,0.998333333,0.629461756,0.88067034 +2018/05/15 19:00,0.315351443,0,0.537366667,0.506666667,0.630028329,0.880762167 +2018/05/15 20:00,0.310939395,0,0.482196667,0.08,0.656657224,0.881588613 +2018/05/15 21:00,0.256697245,0,0.396106667,0,0.699716714,0.881404959 +2018/05/15 22:00,0.263271759,0,0.08414,0,0.647592068,0.880945822 +2018/05/15 23:00,0.260063916,0,0,0,0.628328612,0.88067034 +2018/05/16 00:00,0.297150723,0,0,0,0.645325779,0.880624426 +2018/05/16 01:00,0.303221801,0,0,0,0.664589235,0.880899908 +2018/05/16 02:00,0.294305296,0,0,0,0.662322946,0.881267218 +2018/05/16 03:00,0.289038947,0,0,0,0.685552408,0.880808081 +2018/05/16 04:00,0.29749485,0,0,0,0.674787535,0.880853994 +2018/05/16 05:00,0.301585873,0,0,0,0.696883853,0.880394858 +2018/05/16 06:00,0.314596288,0.000284902,0,0,0.68611898,0.880853994 +2018/05/16 07:00,0.316390563,0.069924501,0,0.276666667,0.662322946,0.880348944 +2018/05/16 08:00,0.317612094,0.368692638,0.035666667,0.55,0.657223796,0.88030303 +2018/05/16 09:00,0.276506459,0.592347662,0.559243333,0.551666667,0.664022663,0.849494949 +2018/05/16 10:00,0.259189881,0.687792618,0.799476667,0.385,0.667422096,0.843755739 +2018/05/16 11:00,0.264443236,0.730016484,0.81789,0.153333333,0.660056657,0.846189164 +2018/05/16 12:00,0.239078413,0.781844945,0.812903333,0.15,0.66572238,0.849035813 +2018/05/16 13:00,0.220613942,0.772897659,0.822056667,0.043333333,0.671954674,0.845270891 +2018/05/16 14:00,0.179253701,0.710229346,0.831703333,0,0.661756374,0.847842057 +2018/05/16 15:00,0.147956895,0.587870627,0.82854,0,0.66572238,0.872497704 +2018/05/16 16:00,0.139291627,0.333128023,0.882473333,0,0.487818697,0.869283747 +2018/05/16 17:00,0.12681112,0.040767472,0.70933,0.718333333,0.49121813,0.821120294 +2018/05/16 18:00,0.106433976,4.21E-05,0.516563333,0.908333333,0.405665722,0.813682277 +2018/05/16 19:00,0.110219856,0,0.479153333,0.443333333,0.437393768,0.816391185 +2018/05/16 20:00,0.149976416,0,0.46298,0.215,0.482719547,0.8228191 +2018/05/16 21:00,0.166144139,0,0.337053333,0,0.490084986,0.824977043 +2018/05/16 22:00,0.162460293,0,0.038133333,0,0.538243626,0.824288338 +2018/05/16 23:00,0.17630287,0,0,0,0.657790368,0.822956841 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13:00,0.123271182,0.740671148,0.664133333,0,0.625495751,0.8456382 +2018/05/17 14:00,0.146155882,0.676013947,0.747936667,0,0.627195467,0.878604224 +2018/05/17 15:00,0.16027328,0.582857705,0.878793333,0,0.647592068,0.879981635 +2018/05/17 16:00,0.163660647,0.326655994,0.8218,0,0.667422096,0.879843893 +2018/05/17 17:00,0.18604143,0.040051825,0.687756667,0.696666667,0.659490085,0.879614325 +2018/05/17 18:00,0.218290723,4.21E-05,0.523586667,1,0.595467422,0.880348944 +2018/05/17 19:00,0.286008702,0,0.47816,0.48,0.63286119,0.87979798 +2018/05/17 20:00,0.306609168,0,0.46787,0.271666667,0.652691218,0.879568411 +2018/05/17 21:00,0.326112758,0,0.389383333,0,0.682152975,0.879109275 +2018/05/17 22:00,0.335877308,0,0.019986667,0,0.67592068,0.878420569 +2018/05/17 23:00,0.310126966,0,0,0,0.657790368,0.877043159 +2018/05/18 00:00,0.317217431,0,0,0,0.662889518,0.876538108 +2018/05/18 01:00,0.332180467,0,0,0,0.667988669,0.87630854 +2018/05/18 02:00,0.329632,0,0,0,0.67082153,0.876721763 +2018/05/18 03:00,0.289563079,0,0,0,0.67082153,0.877594123 +2018/05/18 04:00,0.283494889,0,0,0,0.659490085,0.877731864 +2018/05/18 05:00,0.291772231,0,0,0,0.698583569,0.878282828 +2018/05/18 06:00,0.325324394,0.00038394,0,0,0.694050992,0.87855831 +2018/05/18 07:00,0.357410046,0.075027642,0,0.348333333,0.674220963,0.878466483 +2018/05/18 08:00,0.338386789,0.393627687,0.008963333,0.765,0.671388102,0.878833792 +2018/05/18 09:00,0.271565947,0.628821929,0.266973333,0.543333333,0.664022663,0.878099174 +2018/05/18 10:00,0.260301196,0.730746376,0.514663333,0.286666667,0.660056657,0.878374656 +2018/05/18 11:00,0.252198564,0.760303624,0.527166667,0,0.661756374,0.878191001 +2018/05/18 12:00,0.268770575,0.758650513,0.550516667,0,0.66572238,0.860651974 +2018/05/18 13:00,0.279133377,0.720713748,0.545736667,0,0.664589235,0.857575758 +2018/05/18 14:00,0.298152783,0.642679031,0.518776667,0,0.664022663,0.856932966 +2018/05/18 15:00,0.352726546,0.531914475,0.608113333,0,0.663456091,0.856427916 +2018/05/18 16:00,0.419903548,0.304608633,0.822093333,0.196666667,0.682152975,0.872176309 +2018/05/18 17:00,0.471550546,0.036468162,0.647746667,0.5,0.672521246,0.876033058 +2018/05/18 18:00,0.479391833,4.21E-05,0.532066667,0.986666667,0.646458924,0.876216713 +2018/05/18 19:00,0.452074389,0,0.501416667,0.706666667,0.638526912,0.876538108 +2018/05/18 20:00,0.4692769,0,0.48661,0.05,0.652124646,0.877272727 +2018/05/18 21:00,0.471289202,0,0.384803333,0,0.702549575,0.877823691 +2018/05/18 22:00,0.414345051,0,0.035753333,0,0.677053824,0.877272727 +2018/05/18 23:00,0.370013765,0,0,0,0.662322946,0.877915519 +2018/05/19 00:00,0.392295882,0,0,0,0.655524079,0.87768595 +2018/05/19 01:00,0.432906744,0,0,0,0.657223796,0.877961433 +2018/05/19 02:00,0.436939049,0,0,0,0.657223796,0.877961433 +2018/05/19 03:00,0.426765397,0,0,0,0.657790368,0.877823691 +2018/05/19 04:00,0.428103402,0,0,0,0.622096317,0.878099174 +2018/05/19 05:00,0.446829217,0,0,0,0.591501416,0.878191001 +2018/05/19 06:00,0.471112566,0.000274049,0,0,0.590934844,0.877961433 +2018/05/19 07:00,0.526824596,0.055287989,0,0.316666667,0.644759207,0.876859504 +2018/05/19 08:00,0.548138825,0.316273343,0,0.518333333,0.658923513,0.877272727 +2018/05/19 09:00,0.616430992,0.484622742,0.06765,0.55,0.669121813,0.878007346 +2018/05/19 10:00,0.701825559,0.589435554,0.150643333,0.361666667,0.682719547,0.877640037 +2018/05/19 11:00,0.746082725,0.638849131,0.150906667,0.176666667,0.677053824,0.877089073 +2018/05/19 12:00,0.682098165,0.598593126,0.020043333,0.018333333,0.600566572,0.876400367 +2018/05/19 13:00,0.587873727,0.499415272,0,0,0.600566572,0.877089073 +2018/05/19 14:00,0.509406946,0.35764725,0,0,0.6,0.876400367 +2018/05/19 15:00,0.437835705,0.266383573,0.00809,0,0.598300283,0.875895317 +2018/05/19 16:00,0.395943149,0.147179807,0.117016667,0,0.600566572,0.876216713 +2018/05/19 17:00,0.320472441,0.012549943,0.103226667,0.566666667,0.601133144,0.876033058 +2018/05/19 18:00,0.194983925,0,0,1.005,0.632294618,0.876538108 +2018/05/19 19:00,0.177191826,0,0,0.611666667,0.635127479,0.876675849 +2018/05/19 20:00,0.289974588,0,0,0.276666667,0.586402266,0.876170799 +2018/05/19 21:00,0.265545887,0,0,0,0.610764873,0.876492195 +2018/05/19 22:00,0.209155709,0,0,0,0.628328612,0.875849403 +2018/05/19 23:00,0.255613365,0,0,0,0.624362606,0.874150597 +2018/05/20 00:00,0.318925072,0,0,0,0.652691218,0.875757576 +2018/05/20 01:00,0.352770826,0,0,0,0.664589235,0.875160698 +2018/05/20 02:00,0.398887242,0,0,0,0.676487252,0.875252525 +2018/05/20 03:00,0.432604008,0,0,0,0.674220963,0.875573921 +2018/05/20 04:00,0.417243421,0,0,0,0.662889518,0.866161616 +2018/05/20 05:00,0.414706987,0,0,0,0.658923513,0.874701561 +2018/05/20 06:00,0.418869723,0.000314749,0,0.145,0.647025496,0.874334252 +2018/05/20 07:00,0.441257725,0.017937986,0,0.35,0.652691218,0.874196511 +2018/05/20 08:00,0.489899987,0.12468135,0,0.55,0.648725212,0.877089073 +2018/05/20 09:00,0.543317675,0.200487725,0.053446667,0.55,0.692351275,0.87892562 +2018/05/20 10:00,0.544697072,0.308985273,0.376933333,0.365,0.710481586,0.878466483 +2018/05/20 11:00,0.501766359,0.307011986,0.49283,0.15,0.709348442,0.878145087 +2018/05/20 12:00,0.474965347,0.287685441,0.469506667,0.005,0.708215297,0.878328742 +2018/05/20 13:00,0.51628949,0.284014272,0.37815,0,0.716147309,0.87768595 +2018/05/20 14:00,0.56054425,0.328475977,0.306033333,0,0.705949008,0.878282828 +2018/05/20 15:00,0.577114818,0.273137113,0.40664,0,0.703116147,0.870615243 +2018/05/20 16:00,0.574948983,0.144220894,0.516603333,0,0.708215297,0.824793388 +2018/05/20 17:00,0.520985503,0.016856715,0.639146667,0.303333333,0.677620397,0.818870523 +2018/05/20 18:00,0.53336927,7.46E-06,0.500243333,0.65,0.655524079,0.821349862 +2018/05/20 19:00,0.491698111,0,0.342056667,0.906666667,0.64815864,0.827777778 +2018/05/20 20:00,0.444319735,0,0.333073333,0.491666667,0.652691218,0.829155188 +2018/05/20 21:00,0.383096856,0,0.26868,0.096666667,0.663456091,0.828971534 +2018/05/20 22:00,0.355966637,0,0,0,0.660623229,0.828007346 +2018/05/20 23:00,0.34212069,0,0,0,0.665155807,0.825987144 +2018/05/21 00:00,0.334237048,0,0,0,0.677620397,0.825711662 +2018/05/21 01:00,0.365332672,0,0,0,0.68101983,0.84077135 +2018/05/21 02:00,0.384286141,0,0,0,0.68101983,0.874380165 +2018/05/21 03:00,0.395934486,0,0,0,0.690651558,0.877915519 +2018/05/21 04:00,0.434295285,0,0,0,0.687818697,0.877869605 +2018/05/21 05:00,0.39307077,0,0,0,0.708215297,0.877272727 +2018/05/21 06:00,0.405058429,0.000358163,0,0,0.752407932,0.877869605 +2018/05/21 07:00,0.426591649,0.046922717,0,0.338333333,0.743342776,0.876078972 +2018/05/21 08:00,0.456765108,0.264473372,0.001646667,0.528333333,0.700283286,0.875252525 +2018/05/21 09:00,0.438284273,0.442303231,0.367953333,0.555,0.701983003,0.868778696 +2018/05/21 10:00,0.504781684,0.604788392,0.75482,0.355,0.724645892,0.853627181 +2018/05/21 11:00,0.563834395,0.635011091,0.78588,0.166666667,0.726912181,0.853902663 +2018/05/21 12:00,0.58395549,0.680102293,0.796276667,0.003333333,0.720113314,0.8640955 +2018/05/21 13:00,0.589702174,0.675933224,0.745623333,0,0.750708215,0.874196511 +2018/05/21 14:00,0.603526462,0.629692916,0.619293333,0,0.699150142,0.873461892 +2018/05/21 15:00,0.606703502,0.527479497,0.746996667,0,0.69121813,0.869237833 +2018/05/21 16:00,0.61874266,0.291412233,0.707393333,0,0.684985836,0.869605142 +2018/05/21 17:00,0.600067382,0.031954497,0.663426667,0.546666667,0.70878187,0.869237833 +2018/05/21 18:00,0.589459119,3.26E-05,0.524953333,0.998333333,0.633994334,0.869972452 +2018/05/21 19:00,0.547884219,0,0.483316667,0.606666667,0.618130312,0.869834711 +2018/05/21 20:00,0.514625166,0,0.41768,0.333333333,0.619263456,0.870431589 +2018/05/21 21:00,0.534085921,0,0.220423333,0,0.695184136,0.871349862 +2018/05/21 22:00,0.534593689,0,0,0,0.647025496,0.870018365 +2018/05/21 23:00,0.506497988,0,0,0,0.638526912,0.868962351 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13:00,0.504737886,0.71281653,0.79061,0,0.736543909,0.39862259 +2018/05/22 14:00,0.486818724,0.672589015,0.79446,0,0.758640227,0.398806244 +2018/05/22 15:00,0.45554839,0.559562879,0.77273,0,0.742776204,0.398852158 +2018/05/22 16:00,0.372743199,0.307886365,0.891043333,0,0.721813031,0.634573003 +2018/05/22 17:00,0.269454498,0.033256229,0.71456,0.508333333,0.710481586,0.739256198 +2018/05/22 18:00,0.205249504,2.85E-05,0.544136667,0.883333333,0.679320113,0.846235078 +2018/05/22 19:00,0.151841442,0,0.501346667,0.648333333,0.66572238,0.862855831 +2018/05/22 20:00,0.139958223,0,0.468066667,0.291666667,0.657223796,0.86271809 +2018/05/22 21:00,0.144170052,0,0.33095,0.011666667,0.70878187,0.863269054 +2018/05/22 22:00,0.16220665,0,0,0,0.712747875,0.862488522 +2018/05/22 23:00,0.169267755,0,0,0,0.702549575,0.862396694 +2018/05/23 00:00,0.22103267,0,0,0,0.715580737,0.862442608 +2018/05/23 01:00,0.288167318,0,0,0,0.726912181,0.862258953 +2018/05/23 02:00,0.346092351,0,0,0,0.703116147,0.807116621 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16:00,0.26705764,0.301280025,0.92256,0,0.727478754,0.865243343 +2018/05/23 17:00,0.27810629,0.031835109,0.721653333,0.653333333,0.709915014,0.86584022 +2018/05/23 18:00,0.309865141,2.24E-05,0.555126667,1,0.677053824,0.839761249 +2018/05/23 19:00,0.315377433,0,0.506166667,0.49,0.660623229,0.832506887 +2018/05/23 20:00,0.309810273,0,0.455503333,0.306666667,0.666288952,0.837465565 +2018/05/23 21:00,0.244152244,0,0.25034,0,0.716713881,0.844398531 +2018/05/23 22:00,0.201574322,0,0,0,0.703116147,0.844031221 +2018/05/23 23:00,0.210479757,0,0,0,0.702549575,0.843847567 +2018/05/24 00:00,0.216266388,0,0,0,0.715014164,0.844306703 +2018/05/24 01:00,0.21369867,0,0,0,0.730878187,0.789393939 +2018/05/24 02:00,0.203280038,0,0,0,0.747308782,0.765518825 +2018/05/24 03:00,0.201172439,0,0,0,0.733711048,0.7640955 +2018/05/24 04:00,0.18365516,0,0,0,0.698016997,0.764003673 +2018/05/24 05:00,0.175239205,0,0,0,0.723512748,0.763636364 +2018/05/24 06:00,0.194876595,0.000174333,0,0,0.732577904,0.76322314 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19:00,0.23228539,0,0.48124,0.61,0.672521246,0.866850321 +2018/05/24 20:00,0.240513159,0,0.47117,0.246666667,0.69121813,0.867263545 +2018/05/24 21:00,0.229165624,0,0.318886667,0,0.704249292,0.867493113 +2018/05/24 22:00,0.199136554,0,0,0,0.724645892,0.865381084 +2018/05/24 23:00,0.237024238,0,0,0,0.71388102,0.865151515 +2018/05/25 00:00,0.243572762,0,0,0,0.702549575,0.866850321 +2018/05/25 01:00,0.175889918,0,0,0,0.72407932,0.867309458 +2018/05/25 02:00,0.11490865,0,0,0,0.716147309,0.864784206 +2018/05/25 03:00,0.142539418,0,0,0,0.704249292,0.864370983 +2018/05/25 04:00,0.180783744,0,0,0,0.697450425,0.864325069 +2018/05/25 05:00,0.154478948,0,0,0,0.714447592,0.864646465 +2018/05/25 06:00,0.131194771,0.000210963,0,0,0.723512748,0.864600551 +2018/05/25 07:00,0.101055003,0.055796743,0,0.311666667,0.716713881,0.866345271 +2018/05/25 08:00,0.067039832,0.351042946,0,0.54,0.711048159,0.867493113 +2018/05/25 09:00,0.045105211,0.582290614,0.139033333,0.54,0.717847025,0.862396694 +2018/05/25 10:00,0.042099032,0.671047151,0.41639,0.366666667,0.711048159,0.851331497 +2018/05/25 11:00,0.040151223,0.735190172,0.481246667,0.153333333,0.709915014,0.559641873 +2018/05/25 12:00,0.027804998,0.751948528,0.67398,0.015,0.699716714,0.834067952 +2018/05/25 13:00,0.027832913,0.735021944,0.87835,0,0.719546742,0.865564738 +2018/05/25 14:00,0.056263597,0.673257857,0.8945,0,0.738243626,0.867401286 +2018/05/25 15:00,0.072189227,0.53295776,0.858266667,0,0.729745042,0.867355372 +2018/05/25 16:00,0.065866431,0.291208053,0.924793333,0,0.713314448,0.867676768 +2018/05/25 17:00,0.070530197,0.031898873,0.689636667,0.38,0.677620397,0.867263545 +2018/05/25 18:00,0.084874285,1.76E-05,0.571306667,0.97,0.603399433,0.867676768 +2018/05/25 19:00,0.073098396,0,0.493913333,0.753333333,0.640793201,0.867355372 +2018/05/25 20:00,0.084216834,0,0.468436667,0.35,0.661189802,0.868916437 +2018/05/25 21:00,0.074034519,0,0.37675,0,0.717280453,0.870339761 +2018/05/25 22:00,0.059311649,0,0.00965,0,0.694617564,0.870615243 +2018/05/25 23:00,0.070422867,0,0,0,0.684985836,0.870156107 +2018/05/26 00:00,0.078843155,0,0,0,0.714447592,0.869926538 +2018/05/26 01:00,0.068431261,0,0,0,0.730311615,0.869972452 +2018/05/26 02:00,0.058699921,0,0,0,0.75184136,0.869926538 +2018/05/26 03:00,0.063120151,0,0,0,0.699150142,0.870707071 +2018/05/26 04:00,0.063444064,0,0,0,0.684985836,0.869926538 +2018/05/26 05:00,0.050892806,0,0,0,0.692351275,0.869651056 +2018/05/26 06:00,0.046106309,0.000149913,0,0,0.700283286,0.869467401 +2018/05/26 07:00,0.042996169,0.054287439,0,0.338333333,0.70368272,0.869972452 +2018/05/26 08:00,0.040932849,0.353647766,0,0.53,0.703116147,0.870615243 +2018/05/26 09:00,0.02707102,0.593190837,0.255173333,0.551666667,0.726912181,0.870798898 +2018/05/26 10:00,0.033348093,0.698441178,0.61277,0.35,0.738810198,0.870523416 +2018/05/26 11:00,0.038993705,0.749254167,0.655963333,0.168333333,0.741643059,0.869972452 +2018/05/26 12:00,0.044044433,0.770969821,0.845913333,0.01,0.710481586,0.869972452 +2018/05/26 13:00,0.045600947,0.751211852,0.991773333,0,0.732577904,0.870293848 +2018/05/26 14:00,0.059960919,0.683576744,0.983493333,0,0.726345609,0.869926538 +2018/05/26 15:00,0.064246385,0.563515558,0.966646667,0,0.730311615,0.870156107 +2018/05/26 16:00,0.063578345,0.3038706,0.930806667,0,0.715014164,0.870615243 +2018/05/26 17:00,0.091566236,0.031043488,0.711046667,0.29,0.680453258,0.870431589 +2018/05/26 18:00,0.155385711,1.49E-05,0.553316667,0.548333333,0.646458924,0.870752984 +2018/05/26 19:00,0.214809021,0,0.510283333,0.973333333,0.647592068,0.870339761 +2018/05/26 20:00,0.218967907,0,0.47592,0.59,0.650991501,0.87056933 +2018/05/26 21:00,0.195316019,0,0.356386667,0.015,0.671954674,0.871166208 +2018/05/26 22:00,0.140350962,0,0.0141,0,0.699716714,0.871028466 +2018/05/26 23:00,0.085168358,0,0,0,0.687252125,0.870615243 +2018/05/27 00:00,0.070770364,0,0,0,0.711614731,0.871258035 +2018/05/27 01:00,0.077736172,0,0,0,0.742209632,0.871120294 +2018/05/27 02:00,0.074598117,0,0,0,0.763739377,0.870982553 +2018/05/27 03:00,0.062862176,0,0,0,0.76713881,0.870798898 +2018/05/27 04:00,0.093424042,0,0,0,0.753541076,0.870339761 +2018/05/27 05:00,0.12373082,0,0,0,0.728611898,0.870431589 +2018/05/27 06:00,0.115690276,0.000162123,0,0,0.738243626,0.870385675 +2018/05/27 07:00,0.112245635,0.052328397,0,0.328333333,0.715014164,0.870661157 +2018/05/27 08:00,0.110641472,0.345427659,0.00855,0.378333333,0.726912181,0.870798898 +2018/05/27 09:00,0.122087192,0.587696294,0.34181,0.4,0.735977337,0.870385675 +2018/05/27 10:00,0.085186166,0.69873829,0.621046667,0.211666667,0.769405099,0.869880624 +2018/05/27 11:00,0.06664565,0.746981732,0.660433333,0.028333333,0.771671388,0.869742883 +2018/05/27 12:00,0.078425871,0.763598993,0.61727,0,0.754107649,0.867539027 +2018/05/27 13:00,0.092575034,0.7422259,0.539253333,0,0.755240793,0.869421488 +2018/05/27 14:00,0.103489402,0.674171579,0.581193333,0,0.768838527,0.869467401 +2018/05/27 15:00,0.108381784,0.527892605,0.80533,0,0.769405099,0.869605142 +2018/05/27 16:00,0.11699459,0.253955053,0.81041,0,0.72917847,0.869926538 +2018/05/27 17:00,0.145623568,0.029134643,0.705796667,0.246666667,0.683852691,0.867814509 +2018/05/27 18:00,0.188054695,1.22E-05,0.55676,0.55,0.609065156,0.868778696 +2018/05/27 19:00,0.252848314,0,0.51169,0.49,0.626628895,0.843663912 +2018/05/27 20:00,0.275063531,0,0.462946667,0.378333333,0.640226629,0.830165289 +2018/05/27 21:00,0.270548005,0,0.21743,0.031666667,0.663456091,0.833930211 +2018/05/27 22:00,0.285427295,0,0,0,0.686685552,0.834710744 +2018/05/27 23:00,0.359341008,0,0,0,0.726345609,0.832966024 +2018/05/28 00:00,0.439517356,0,0,0,0.596033994,0.83292011 +2018/05/28 01:00,0.475808097,0,0,0,0.322946176,0.833425161 +2018/05/28 02:00,0.526621489,0,0,0,0.217563739,0.830716253 +2018/05/28 03:00,0.540684982,0,0,0,0.274787535,0.829614325 +2018/05/28 04:00,0.571142406,0,0,0,0.490651558,0.828374656 +2018/05/28 05:00,0.568192057,0,0,0,0.515580737,0.82630854 +2018/05/28 06:00,0.616722176,0.000125493,0,0,0.509915014,0.826492195 +2018/05/28 07:00,0.651884277,0.045939804,0,0.345,0.518413598,0.822910927 +2018/05/28 08:00,0.63163227,0.292881515,0,0.201666667,0.684419263,0.808218549 +2018/05/28 09:00,0.670170187,0.488781636,0,0,0.687818697,0.789761249 +2018/05/28 10:00,0.678197736,0.527111838,0.02736,0,0.68611898,0.868089991 +2018/05/28 11:00,0.726523786,0.569244806,0.069296667,0,0.694050992,0.857254362 +2018/05/28 12:00,0.704213754,0.538648342,0.006733333,0,0.712747875,0.867768595 +2018/05/28 13:00,0.700140539,0.4642658,0,0,0.732011331,0.867722681 +2018/05/28 14:00,0.682190574,0.344821224,0,0,0.747875354,0.86758494 +2018/05/28 15:00,0.684333789,0.221016965,0,0,0.709348442,0.867309458 +2018/05/28 16:00,0.592652042,0.084563727,0.000573333,0,0.698583569,0.867447199 +2018/05/28 17:00,0.585916293,0.007129339,0.026706667,0.573333333,0.673087819,0.86707989 +2018/05/28 18:00,0.530146025,0,0.2528,0.826666667,0.630594901,0.86671258 +2018/05/28 19:00,0.409585507,0,0.151666667,0.06,0.650424929,0.866942149 +2018/05/28 20:00,0.387443929,0,0,0,0.658923513,0.866896235 +2018/05/28 21:00,0.400375412,0,0,0,0.701416431,0.867401286 +2018/05/28 22:00,0.381884951,0,0,0,0.711614731,0.842883379 +2018/05/28 23:00,0.406107175,0,0,0,0.702549575,0.788980716 +2018/05/29 00:00,0.390079992,0,0,0,0.498583569,0.788980716 +2018/05/29 01:00,0.411837495,0,0,0,0.325212465,0.788934803 +2018/05/29 02:00,0.309029128,0,0,0,0.316147309,0.788934803 +2018/05/29 03:00,0.254991529,0,0,0,0.548441926,0.711294766 +2018/05/29 04:00,0.271241553,0,0,0,0.701983003,0.596969697 +2018/05/29 05:00,0.267840229,0,0,0,0.70368272,0.786317723 +2018/05/29 06:00,0.334116243,0.00018383,0,0,0.709348442,0.789393939 +2018/05/29 07:00,0.353136611,0.030909177,0,0.176666667,0.716713881,0.803581267 +2018/05/29 08:00,0.305254799,0.164124027,0,0.201666667,0.704815864,0.857988981 +2018/05/29 09:00,0.335027819,0.38882912,0.027456667,0.02,0.705382436,0.867493113 +2018/05/29 10:00,0.378696841,0.49995523,0.13905,0,0.70368272,0.867217631 +2018/05/29 11:00,0.349682825,0.581908031,0.15338,0,0.703116147,0.867125803 +2018/05/29 12:00,0.340538667,0.600898799,0.061916667,0,0.715580737,0.866896235 +2018/05/29 13:00,0.370851222,0.576683467,0.044476667,0,0.715580737,0.866666667 +2018/05/29 14:00,0.368591533,0.530683969,0.07378,0,0.701983003,0.867171717 +2018/05/29 15:00,0.313992742,0.472473697,0.092866667,0,0.704249292,0.867217631 +2018/05/29 16:00,0.249796893,0.257384055,0.45041,0,0.704249292,0.866345271 +2018/05/29 17:00,0.186620911,0.030574078,0.499456667,0.45,0.635127479,0.866620753 +2018/05/29 18:00,0.149705446,1.42E-05,0.361103333,0.838333333,0.564872521,0.866620753 +2018/05/29 19:00,0.127733766,0,0.299213333,0.321666667,0.602266289,0.869559229 +2018/05/29 20:00,0.092515353,0,0.071576667,0,0.637393768,0.869100092 +2018/05/29 21:00,0.072250351,0,0,0,0.724645892,0.869742883 +2018/05/29 22:00,0.063414705,0,0,0,0.708215297,0.869421488 +2018/05/29 23:00,0.057108754,0,0,0,0.720679887,0.869100092 +2018/05/30 00:00,0.042260747,0,0,0,0.732011331,0.869651056 +2018/05/30 01:00,0.03363254,0,0,0,0.72407932,0.869926538 +2018/05/30 02:00,0.053444641,0,0,0,0.729745042,0.869651056 +2018/05/30 03:00,0.073019464,0,0,0,0.719546742,0.869651056 +2018/05/30 04:00,0.110747358,0,0,0,0.694050992,0.868503214 +2018/05/30 05:00,0.153811871,0,0,0,0.705382436,0.868044077 +2018/05/30 06:00,0.211940011,6.92E-05,0,0,0.709348442,0.867447199 +2018/05/30 07:00,0.224364688,0.049851105,0,0.193333333,0.67082153,0.873921028 +2018/05/30 08:00,0.211232986,0.342184522,0,0.203333333,0.651558074,0.853902663 +2018/05/30 09:00,0.236555455,0.600025777,0.088836667,0.003333333,0.660623229,0.800596878 +2018/05/30 10:00,0.327929654,0.717031048,0.571556667,0,0.679320113,0.807759412 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00:00,0.153108215,0,0,0,0.73427762,0.874380165 +2018/05/31 01:00,0.176181584,0,0,0,0.730311615,0.874747475 +2018/05/31 02:00,0.187742814,0,0,0,0.747875354,0.874196511 +2018/05/31 03:00,0.167541343,0,0,0,0.743909348,0.873829201 +2018/05/31 04:00,0.159129238,0,0,0,0.712181303,0.873140496 +2018/05/31 05:00,0.160895597,0,0,0,0.705949008,0.872956841 +2018/05/31 06:00,0.16439655,0.000127528,0,0,0.709915014,0.873094582 +2018/05/31 07:00,0.145981653,0.022143007,0,0.341666667,0.716713881,0.874380165 +2018/05/31 08:00,0.164334463,0.144015358,0.00115,0.211666667,0.695750708,0.874334252 +2018/05/31 09:00,0.190861136,0.384674974,0.16677,0,0.71388102,0.868503214 +2018/05/31 10:00,0.242820977,0.589475576,0.552543333,0,0.726912181,0.869972452 +2018/05/31 11:00,0.252679379,0.653879079,0.651013333,0,0.720113314,0.869283747 +2018/05/31 12:00,0.305290414,0.738757555,0.567526667,0,0.732011331,0.867630854 +2018/05/31 13:00,0.3572002,0.713448741,0.56057,0,0.762606232,0.864187328 +2018/05/31 14:00,0.424373352,0.620254513,0.85409,0,0.785269122,0.866896235 +2018/05/31 15:00,0.42588703,0.505053623,0.9899,0,0.733711048,0.86707989 +2018/05/31 16:00,0.336425024,0.279730564,0.947883333,0,0.711614731,0.867309458 +2018/05/31 17:00,0.340892902,0.026613259,0.72259,0.288333333,0.643626062,0.824747475 +2018/05/31 18:00,0.373498354,1.22E-05,0.544563333,0.348333333,0.558640227,0.867906336 +2018/05/31 19:00,0.398360703,0,0.500163333,0.06,0.609631728,0.867676768 +2018/05/31 20:00,0.41114539,0,0.47445,0,0.653824363,0.867906336 +2018/05/31 21:00,0.495097992,0,0.420426667,0,0.730878187,0.86795225 +2018/05/31 22:00,0.576517529,0,0.000556667,0,0.701983003,0.867630854 +2018/05/31 23:00,0.723528194,0,0,0,0.705949008,0.868135904 +2018/06/01 00:00,0.803457636,0,0,0,0.750708215,0.755188246 +2018/06/01 01:00,0.790361069,0,0,0,0.732011331,0.867217631 +2018/06/01 02:00,0.747251314,0,0,0,0.737110482,0.867814509 +2018/06/01 03:00,0.752064282,0,0,0,0.715580737,0.867401286 +2018/06/01 04:00,0.762602276,0,0,0,0.741643059,0.865518825 +2018/06/01 05:00,0.781830083,0,0,0,0.703116147,0.863636364 +2018/06/01 06:00,0.799787267,0.000122101,0,0,0.694617564,0.86446281 +2018/06/01 07:00,0.747970853,0.051125703,0,0.341666667,0.704815864,0.863452709 +2018/06/01 08:00,0.744118072,0.33550153,0.000383333,0.351666667,0.700283286,0.869559229 +2018/06/01 09:00,0.75772337,0.567159593,0.1883,0.005,0.701416431,0.876078972 +2018/06/01 10:00,0.742473481,0.679625421,0.53211,0,0.697450425,0.873737374 +2018/06/01 11:00,0.693305161,0.742067169,0.625166667,0,0.698016997,0.870707071 +2018/06/01 12:00,0.68429336,0.767432963,0.638136667,0,0.735977337,0.870156107 +2018/06/01 13:00,0.69075477,0.710217815,0.85425,0,0.748441926,0.87020202 +2018/06/01 14:00,0.689514468,0.605094323,0.995553333,0,0.764305949,0.870156107 +2018/06/01 15:00,0.647496294,0.470454283,0.989626667,0,0.73427762,0.870385675 +2018/06/01 16:00,0.594236471,0.236500722,0.933293333,0,0.725212465,0.870477502 +2018/06/01 17:00,0.486911615,0.020913858,0.714343333,0.071666667,0.641359773,0.870523416 +2018/06/01 18:00,0.368355698,0,0.54113,0.55,0.578470255,0.869375574 +2018/06/01 19:00,0.25264617,0,0.506416667,0.266666667,0.624362606,0.86932966 +2018/06/01 20:00,0.236531871,0,0.481026667,0,0.656090652,0.86932966 +2018/06/01 21:00,0.193878867,0,0.354296667,0,0.714447592,0.869605142 +2018/06/01 22:00,0.207025971,0,0.00607,0,0.721246459,0.87056933 +2018/06/01 23:00,0.191929134,0,0,0,0.716147309,0.845179063 +2018/06/02 00:00,0.165812044,0,0,0,0.652124646,0.806703398 +2018/06/02 01:00,0.199082648,0,0,0,0.650991501,0.805004591 +2018/06/02 02:00,0.22146295,0,0,0,0.688951841,0.80785124 +2018/06/02 03:00,0.291497892,0,0,0,0.687818697,0.813636364 +2018/06/02 04:00,0.34313767,0,0,0,0.640793201,0.813636364 +2018/06/02 05:00,0.413229887,0,0,0,0.64815864,0.814784206 +2018/06/02 06:00,0.438909959,0.000149234,0,0,0.656090652,0.812442608 +2018/06/02 07:00,0.460320447,0.053702033,0,0.138333333,0.716147309,0.811707989 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20:00,0.328740639,0,0.491576667,0.055,0.607932011,0.870247934 +2018/06/02 21:00,0.329678686,0,0.321733333,0,0.618696884,0.870385675 +2018/06/02 22:00,0.334244749,0,0,0,0.632294618,0.870385675 +2018/06/02 23:00,0.320821862,0,0,0,0.613031161,0.868870523 +2018/06/03 00:00,0.334999904,0,0,0,0.616997167,0.868044077 +2018/06/03 01:00,0.336411066,0,0,0,0.599433428,0.86795225 +2018/06/03 02:00,0.345436825,0,0,0,0.398300283,0.868044077 +2018/06/03 03:00,0.328510098,0,0,0,0.341076487,0.868181818 +2018/06/03 04:00,0.295205321,0,0,0,0.49631728,0.8684573 +2018/06/03 05:00,0.290118495,0,0,0,0.64815864,0.868227732 +2018/06/03 06:00,0.30459831,0.000147199,0,0,0.662322946,0.868135904 +2018/06/03 07:00,0.30489912,0.052957896,0,0.171666667,0.679320113,0.868181818 +2018/06/03 08:00,0.27310706,0.337905562,0.009406667,0.201666667,0.678753541,0.868686869 +2018/06/03 09:00,0.287337562,0.585071124,0.192136667,0.023333333,0.677620397,0.86932966 +2018/06/03 10:00,0.334234161,0.696193842,0.552896667,0,0.663456091,0.868732782 +2018/06/03 11:00,0.364782069,0.749658457,0.643733333,0,0.656090652,0.868962351 +2018/06/03 12:00,0.381926342,0.764891907,0.672893333,0,0.66572238,0.868135904 +2018/06/03 13:00,0.371127005,0.750017976,0.925826667,0,0.66572238,0.868227732 +2018/06/03 14:00,0.356329534,0.691467857,0.942233333,0,0.664022663,0.867998163 +2018/06/03 15:00,0.354132896,0.555231687,0.924856667,0,0.66572238,0.86795225 +2018/06/03 16:00,0.344375566,0.27361602,0.916886667,0,0.677620397,0.868732782 +2018/06/03 17:00,0.352476753,0.023330778,0.707603333,0.328333333,0.65325779,0.868319559 +2018/06/03 18:00,0.34038369,0,0.55902,0.77,0.620396601,0.868595041 +2018/06/03 19:00,0.384674547,0,0.51159,0.103333333,0.609631728,0.867630854 +2018/06/03 20:00,0.360237664,0,0.47585,0,0.607365439,0.867033976 +2018/06/03 21:00,0.351465067,0,0.255676667,0,0.613031161,0.866115702 +2018/06/03 22:00,0.320941705,0,0,0,0.603966006,0.866988062 +2018/06/03 23:00,0.298276476,0,0,0,0.618130312,0.866299357 +2018/06/04 00:00,0.294537281,0,0,0,0.633994334,0.866345271 +2018/06/04 01:00,0.301510791,0,0,0,0.63286119,0.865977961 +2018/06/04 02:00,0.339939453,0,0,0,0.588101983,0.866391185 +2018/06/04 03:00,0.371173209,0,0,0,0.503116147,0.866483012 +2018/06/04 04:00,0.328425871,0,0,0,0.632294618,0.866345271 +2018/06/04 05:00,0.303365227,0,0,0,0.649291785,0.86533517 +2018/06/04 06:00,0.300387444,0.000132276,0,0,0.697450425,0.865013774 +2018/06/04 07:00,0.318455807,0.048300423,0,0.35,0.702549575,0.868089991 +2018/06/04 08:00,0.323906012,0.339861212,0.00804,0.348333333,0.690084986,0.838108356 +2018/06/04 09:00,0.282067362,0.615220562,0.256193333,0.003333333,0.709915014,0.8412764 +2018/06/04 10:00,0.271091389,0.730972941,0.588583333,0,0.691784703,0.825206612 +2018/06/04 11:00,0.252401671,0.777777627,0.63771,0,0.701416431,0.831359045 +2018/06/04 12:00,0.26697967,0.784286286,0.647156667,0,0.720113314,0.842194674 +2018/06/04 13:00,0.243013014,0.762675774,0.92178,0,0.743342776,0.840633609 +2018/06/04 14:00,0.220859885,0.688928157,0.996946667,0,0.732011331,0.860881543 +2018/06/04 15:00,0.211814393,0.550741085,0.988143333,0,0.722946176,0.874242424 +2018/06/04 16:00,0.241024777,0.28056492,0.940343333,0,0.703116147,0.873829201 +2018/06/04 17:00,0.310821959,0.023616359,0.714363333,0.288333333,0.628895184,0.874380165 +2018/06/04 18:00,0.411420692,0,0.549256667,0.545,0.62776204,0.875068871 +2018/06/04 19:00,0.446120748,0,0.51863,0.036666667,0.654390935,0.87543618 +2018/06/04 20:00,0.49190555,0,0.483413333,0,0.649291785,0.875573921 +2018/06/04 21:00,0.476212387,0,0.245483333,0,0.695750708,0.874747475 +2018/06/04 22:00,0.448903125,0,0,0,0.636260623,0.874288338 +2018/06/04 23:00,0.432691123,0,0,0,0.63286119,0.874012856 +2018/06/05 00:00,0.400769112,0,0,0,0.669121813,0.873783287 +2018/06/05 01:00,0.385156325,0,0,0,0.687252125,0.873553719 +2018/06/05 02:00,0.352050324,0,0,0,0.690651558,0.873875115 +2018/06/05 03:00,0.327320332,0,0,0,0.687818697,0.87405877 +2018/06/05 04:00,0.327178831,0,0,0,0.692351275,0.873829201 +2018/06/05 05:00,0.371179466,0,0,0,0.710481586,0.841873278 +2018/06/05 06:00,0.373361666,5.16E-05,0,0,0.700283286,0.815748393 +2018/06/05 07:00,0.358610881,0.045223479,0,0.286666667,0.692917847,0.834802571 +2018/06/05 08:00,0.341326069,0.334270345,0.008613333,0.353333333,0.65325779,0.835674931 +2018/06/05 09:00,0.30641713,0.604681215,0.257376667,0.063333333,0.662889518,0.832093664 +2018/06/05 10:00,0.275140539,0.712771759,0.591073333,0,0.660623229,0.853856749 +2018/06/05 11:00,0.263793004,0.764632103,0.650996667,0,0.656657224,0.856657484 +2018/06/05 12:00,0.255266831,0.774090857,0.65993,0,0.671954674,0.840863177 +2018/06/05 13:00,0.243837957,0.745971686,0.914906667,0,0.708215297,0.8640955 +2018/06/05 14:00,0.239378742,0.685945502,0.999873333,0,0.691784703,0.830762167 +2018/06/05 15:00,0.247529985,0.550282528,0.97569,0,0.671388102,0.854912764 +2018/06/05 16:00,0.266528214,0.272202362,0.94614,0,0.660056657,0.829706152 +2018/06/05 17:00,0.275930347,0.022282745,0.710423333,0.246666667,0.618130312,0.831359045 +2018/06/05 18:00,0.303730532,0,0.557063333,0.596666667,0.570538244,0.843709826 +2018/06/05 19:00,0.28711761,0,0.518066667,0.05,0.573937677,0.816299357 +2018/06/05 20:00,0.263735248,0,0.486256667,0,0.574504249,0.821763085 +2018/06/05 21:00,0.258838535,0,0.290443333,0,0.693484419,0.834802571 +2018/06/05 22:00,0.273226421,0,0,0,0.81529745,0.801790634 +2018/06/05 23:00,0.303500953,0,0,0,0.707648725,0.824701561 +2018/06/06 00:00,0.349479237,0,0,0,0.698016997,0.805555556 +2018/06/06 01:00,0.36590349,0,0,0,0.707648725,0.808861341 +2018/06/06 02:00,0.403325761,0,0,0,0.701983003,0.831818182 +2018/06/06 03:00,0.423108504,0,0,0,0.699716714,0.804637282 +2018/06/06 04:00,0.4685049,0,0,0,0.71388102,0.807116621 +2018/06/06 05:00,0.517905204,0,0,0,0.71898017,0.844444444 +2018/06/06 06:00,0.536747011,0.000120744,0,0,0.721246459,0.837741047 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19:00,0.175477928,0,0.505156667,0.07,0.631161473,0.781037649 +2018/06/06 20:00,0.191214889,0,0.39592,0,0.68611898,0.719513315 +2018/06/06 21:00,0.257584756,0,0.27224,0,0.756373938,0.762213039 +2018/06/06 22:00,0.313614443,0,0,0,0.714447592,0.772130395 +2018/06/06 23:00,0.430200412,0,0,0,0.70368272,0.772635445 +2018/06/07 00:00,0.498429529,0,0,0,0.752974504,0.7728191 +2018/06/07 01:00,0.475637718,0,0,0,0.755240793,0.77231405 +2018/06/07 02:00,0.511116512,0,0,0,0.752974504,0.772359963 +2018/06/07 03:00,0.544290376,0,0,0,0.735977337,0.772773186 +2018/06/07 04:00,0.538485937,0,0,0,0.710481586,0.772176309 +2018/06/07 05:00,0.516168204,0,0,0,0.733711048,0.771258035 +2018/06/07 06:00,0.551672506,9.84E-05,0,0,0.733711048,0.794811754 +2018/06/07 07:00,0.541394413,0.044176802,0,0.29,0.724645892,0.811386593 +2018/06/07 08:00,0.523330381,0.318429103,0.005063333,0.331666667,0.706515581,0.81134068 +2018/06/07 09:00,0.491782338,0.573945014,0.24823,0.065,0.705949008,0.826492195 +2018/06/07 10:00,0.451089656,0.667912549,0.48364,0,0.704249292,0.870293848 +2018/06/07 11:00,0.427240437,0.712037119,0.534326667,0,0.703116147,0.847842057 +2018/06/07 12:00,0.4504529,0.73291706,0.529713333,0,0.711614731,0.869237833 +2018/06/07 13:00,0.437049747,0.703953357,0.504413333,0,0.723512748,0.867906336 +2018/06/07 14:00,0.394595999,0.655720769,0.51963,0,0.726345609,0.868044077 +2018/06/07 15:00,0.376380359,0.514873931,0.695963333,0,0.714447592,0.86758494 +2018/06/07 16:00,0.36051826,0.233511963,0.868763333,0,0.688951841,0.867722681 +2018/06/07 17:00,0.34195753,0.016321505,0.599573333,0.308333333,0.667988669,0.868411387 +2018/06/07 18:00,0.334580694,0,0.5451,0.543333333,0.645325779,0.868365473 +2018/06/07 19:00,0.326572397,0,0.480553333,0.043333333,0.653824363,0.868503214 +2018/06/07 20:00,0.333543018,0,0.355676667,0,0.652124646,0.865289256 +2018/06/07 21:00,0.295430568,0,0.322566667,0,0.723512748,0.842975207 +2018/06/07 22:00,0.21283763,0,0.004743333,0,0.707082153,0.856519743 +2018/06/07 23:00,0.197845715,0,0,0,0.724645892,0.8684573 +2018/06/08 00:00,0.168385057,0,0,0,0.716713881,0.868181818 +2018/06/08 01:00,0.171808521,0,0,0,0.745609065,0.868732782 +2018/06/08 02:00,0.166091677,0,0,0,0.74674221,0.868962351 +2018/06/08 03:00,0.136024103,0,0,0,0.720113314,0.868549128 +2018/06/08 04:00,0.129233968,0,0,0,0.705949008,0.863544536 +2018/06/08 05:00,0.13456048,0,0,0,0.720679887,0.848714417 +2018/06/08 06:00,0.126881871,9.77E-05,0,0.025,0.711048159,0.845959596 +2018/06/08 07:00,0.112217719,0.042904239,0,0.34,0.669688385,0.82405877 +2018/06/08 08:00,0.093547254,0.300754991,0,0.351666667,0.640226629,0.808448118 +2018/06/08 09:00,0.07547119,0.532411697,0.09939,0.003333333,0.674787535,0.809687787 +2018/06/08 10:00,0.084838669,0.659946818,0.29185,0,0.663456091,0.798163453 +2018/06/08 11:00,0.089748378,0.712299636,0.357466667,0,0.660056657,0.797566575 +2018/06/08 12:00,0.100079895,0.742543363,0.37835,0,0.677620397,0.786042241 +2018/06/08 13:00,0.127277496,0.716809231,0.391456667,0,0.677620397,0.772543618 +2018/06/08 14:00,0.178401806,0.606147105,0.37501,0,0.66572238,0.773966942 +2018/06/08 15:00,0.174459022,0.425398354,0.364746667,0,0.680453258,0.768044077 +2018/06/08 16:00,0.165983386,0.194252437,0.52528,0,0.672521246,0.749081726 +2018/06/08 17:00,0.166094084,0.016552819,0.498996667,0.391666667,0.647592068,0.746831956 +2018/06/08 18:00,0.155652831,0,0.3801,0.481666667,0.596600567,0.744628099 +2018/06/08 19:00,0.171625628,0,0.336946667,0.023333333,0.637393768,0.744582185 +2018/06/08 20:00,0.246071655,0,0.333026667,0,0.678186969,0.731588613 +2018/06/08 21:00,0.301001579,0,0.31406,0,0.700849858,0.723599633 +2018/06/08 22:00,0.367022505,0,0.000353333,0,0.548441926,0.729109275 +2018/06/08 23:00,0.495049862,0,0,0,0.512747875,0.706887052 +2018/06/09 00:00,0.591800146,0,0,0,0.523512748,0.703168044 +2018/06/09 01:00,0.609131644,0,0,0,0.527478754,0.70610652 +2018/06/09 02:00,0.644144543,0,0,0,0.584135977,0.66496786 +2018/06/09 03:00,0.686977552,0,0,0,0.566572238,0.654499541 +2018/06/09 04:00,0.666689448,0,0,0,0.543342776,0.659917355 +2018/06/09 05:00,0.662363552,0,0,0,0.705949008,0.653673095 +2018/06/09 06:00,0.667784398,9.43E-05,0,0,0.711614731,0.656565657 +2018/06/09 07:00,0.617919161,0.039277162,0,0.343333333,0.711048159,0.687373737 +2018/06/09 08:00,0.578825828,0.271614242,0,0.351666667,0.710481586,0.68415978 +2018/06/09 09:00,0.553614058,0.497726887,0,0.005,0.707648725,0.685766758 +2018/06/09 10:00,0.532299347,0.584650554,0.005803333,0,0.710481586,0.684618916 +2018/06/09 11:00,0.538982154,0.632326227,0.13595,0,0.711048159,0.635812672 +2018/06/09 12:00,0.627299636,0.661173933,0.286013333,0,0.717847025,0.677502296 +2018/06/09 13:00,0.630004043,0.655159104,0.439983333,0,0.716147309,0.69476584 +2018/06/09 14:00,0.636290742,0.58457865,0.495986667,0,0.720679887,0.676538108 +2018/06/09 15:00,0.61654554,0.445702386,0.46201,0,0.716713881,0.661616162 +2018/06/09 16:00,0.60395626,0.201948867,0.469973333,0,0.712747875,0.685629017 +2018/06/09 17:00,0.585877789,0.016489055,0.526763333,0.126666667,0.694617564,0.674839302 +2018/06/09 18:00,0.55300618,0,0.48233,0.511666667,0.660623229,0.654132231 +2018/06/09 19:00,0.4686387,0,0.43464,0.253333333,0.646458924,0.683930211 +2018/06/09 20:00,0.425766225,0,0.2906,0,0.656090652,0.658264463 +2018/06/09 21:00,0.395875768,0,0.12609,0,0.668555241,0.645179063 +2018/06/09 22:00,0.33256021,0,0.125836667,0,0.526912181,0.67194674 +2018/06/09 23:00,0.290907341,0,0.125243333,0,0.519546742,0.659917355 +2018/06/10 00:00,0.279563175,0,0.052326667,0,0.539943343,0.594168962 +2018/06/10 01:00,0.269312516,0,0,0,0.538810198,0.585445363 +2018/06/10 02:00,0.227452689,0,0,0,0.545609065,0.609044995 +2018/06/10 03:00,0.224420519,0,0,0,0.532011331,0.628282828 +2018/06/10 04:00,0.215300425,0,0,0,0.489518414,0.648806244 +2018/06/10 05:00,0.180629729,0,0,0,0.549575071,0.649724518 +2018/06/10 06:00,0.171777237,8.55E-05,0,0,0.730311615,0.648714417 +2018/06/10 07:00,0.168604047,0.038524207,0,0.34,0.738810198,0.647015611 +2018/06/10 08:00,0.146113528,0.261249228,0,0.351666667,0.738810198,0.647245179 +2018/06/10 09:00,0.156830083,0.541221281,0.010356667,0.013333333,0.731444759,0.647107438 +2018/06/10 10:00,0.137300021,0.67129271,0.188306667,0,0.72407932,0.646694215 +2018/06/10 11:00,0.138128814,0.727632802,0.501726667,0,0.730878187,0.647199265 +2018/06/10 12:00,0.153309878,0.742539971,0.557763333,0,0.735410765,0.646786042 +2018/06/10 13:00,0.131574996,0.710838494,0.58259,0,0.719546742,0.64912764 +2018/06/10 14:00,0.121871571,0.640019943,0.511596667,0,0.709348442,0.588062443 +2018/06/10 15:00,0.109994128,0.495533819,0.52602,0,0.716147309,0.561753903 +2018/06/10 16:00,0.09919816,0.235351617,0.774246667,0,0.728611898,0.580899908 +2018/06/10 17:00,0.124825289,0.019005691,0.635596667,0.16,0.686685552,0.608494031 +2018/06/10 18:00,0.180431916,0,0.441016667,0.606666667,0.610764873,0.623875115 +2018/06/10 19:00,0.162776505,0,0.345396667,0.125,0.631161473,0.640220386 +2018/06/10 20:00,0.136051537,0,0.333366667,0,0.655524079,0.649862259 +2018/06/10 21:00,0.115344705,0,0.312353333,0,0.681586402,0.626997245 +2018/06/10 22:00,0.111567487,0,0.001443333,0,0.694617564,0.622956841 +2018/06/10 23:00,0.127282309,0,0,0,0.745042493,0.64825528 +2018/06/11 00:00,0.109142233,0,0,0,0.71388102,0.638108356 +2018/06/11 01:00,0.094021812,0,0,0,0.739943343,0.619237833 +2018/06/11 02:00,0.0975579,0,0,0,0.730311615,0.63067034 +2018/06/11 03:00,0.108781742,0,0,0,0.723512748,0.648209366 +2018/06/11 04:00,0.14962892,0,0,0,0.69631728,0.612855831 +2018/06/11 05:00,0.169983443,0,0,0,0.709348442,0.625022957 +2018/06/11 06:00,0.217279037,5.90E-05,0,0,0.683286119,0.639393939 +2018/06/11 07:00,0.24182758,0.039661102,0,0.335,0.698016997,0.632874197 +2018/06/11 08:00,0.261157423,0.311094228,0.00179,0.351666667,0.690084986,0.6184573 +2018/06/11 09:00,0.219857825,0.578502771,0.233083333,0.015,0.676487252,0.619237833 +2018/06/11 10:00,0.176825559,0.694533269,0.52223,0,0.665155807,0.636960514 +2018/06/11 11:00,0.145710202,0.748242085,0.593666667,0,0.671388102,0.632874197 +2018/06/11 12:00,0.148654294,0.762447853,0.589876667,0,0.682152975,0.605555556 +2018/06/11 13:00,0.143511638,0.738620531,0.61108,0,0.69121813,0.620661157 +2018/06/11 14:00,0.148309204,0.676901214,0.70435,0,0.690651558,0.63865932 +2018/06/11 15:00,0.16261142,0.515250409,0.938186667,0,0.688385269,0.615748393 +2018/06/11 16:00,0.150473596,0.251468942,0.822996667,0,0.644192635,0.609687787 +2018/06/11 17:00,0.199860424,0.019509697,0.641373333,0.188333333,0.639660057,0.63640955 +2018/06/11 18:00,0.205704811,0,0.54261,0.638333333,0.576770538,0.625573921 +2018/06/11 19:00,0.234322719,0,0.480053333,0.33,0.566572238,0.608539945 +2018/06/11 20:00,0.255248542,0,0.391593333,0,0.615864023,0.632690542 +2018/06/11 21:00,0.2930597,0,0.265086667,0,0.704249292,0.630853994 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12:00,0.568836032,0.707201243,0.353466667,0,0.708215297,0.4815427 +2018/06/12 13:00,0.550655526,0.661110847,0.316133333,0,0.735410765,0.464187328 +2018/06/12 14:00,0.483404886,0.588255245,0.356676667,0,0.741643059,0.413544536 +2018/06/12 15:00,0.457274801,0.450488065,0.536706667,0,0.732011331,0.402571166 +2018/06/12 16:00,0.377312631,0.190979453,0.791896667,0,0.709348442,0.53204775 +2018/06/12 17:00,0.304448626,0.014491348,0.556013333,0.155,0.631728045,0.593526171 +2018/06/12 18:00,0.301813045,0,0.398906667,0.69,0.567705382,0.607208448 +2018/06/12 19:00,0.305438173,0,0.339733333,0.206666667,0.6,0.630440771 +2018/06/12 20:00,0.33827946,0,0.332776667,0,0.644759207,0.615610652 +2018/06/12 21:00,0.376780798,0,0.333,0,0.739376771,0.608677686 +2018/06/12 22:00,0.456011397,0,0.02447,0,0.724645892,0.613406795 +2018/06/12 23:00,0.562024719,0,0,0,0.71898017,0.612764004 +2018/06/13 00:00,0.63506151,0,0,0,0.714447592,0.612213039 +2018/06/13 01:00,0.652127813,0,0,0,0.626628895,0.621303949 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15:00,0.545351154,0.476916815,0.933686667,0,0.732577904,0.61359045 +2018/06/13 16:00,0.511703213,0.23682429,0.894926667,0,0.693484419,0.644719927 +2018/06/13 17:00,0.487524787,0.018416215,0.626173333,0.253333333,0.643626062,0.644857668 +2018/06/13 18:00,0.51739166,0,0.487173333,0.723333333,0.586402266,0.644857668 +2018/06/13 19:00,0.543584314,0,0.403803333,0.066666667,0.630028329,0.644490358 +2018/06/13 20:00,0.64745779,0,0.333173333,0,0.674220963,0.637649219 +2018/06/13 21:00,0.746250698,0,0.322116667,0,0.739376771,0.635766758 +2018/06/13 22:00,0.809567218,0,0.008863333,0,0.733711048,0.639302112 +2018/06/13 23:00,0.836760006,0,0,0,0.752407932,0.639807163 +2018/06/14 00:00,0.843991009,0,0,0,0.737110482,0.63989899 +2018/06/14 01:00,0.829737404,0,0,0,0.76203966,0.638567493 +2018/06/14 02:00,0.808720136,0,0,0,0.763739377,0.638429752 +2018/06/14 03:00,0.818991009,0,0,0,0.730878187,0.640082645 +2018/06/14 04:00,0.906730455,0,0,0,0.726345609,0.648760331 +2018/06/14 05:00,0.900348459,0,0,0,0.714447592,0.64426079 +2018/06/14 06:00,0.861010146,1.63E-05,0,0,0.714447592,0.633011938 +2018/06/14 07:00,0.81491972,0.029359174,0,0.186666667,0.695184136,0.628145087 +2018/06/14 08:00,0.801612344,0.271616956,7.67E-05,0.208333333,0.680453258,0.636134068 +2018/06/14 09:00,0.799005641,0.51566623,0.124933333,0,0.722379603,0.647979798 +2018/06/14 10:00,0.786472672,0.625976977,0.356553333,0,0.723512748,0.62594123 +2018/06/14 11:00,0.714649231,0.673757792,0.412983333,0,0.702549575,0.638062443 +2018/06/14 12:00,0.770250563,0.6849748,0.427216667,0,0.703116147,0.636042241 +2018/06/14 13:00,0.839072156,0.673740834,0.4422,0,0.721813031,0.656749311 +2018/06/14 14:00,0.839829717,0.613815723,0.525513333,0,0.72407932,0.639807163 +2018/06/14 15:00,0.861703213,0.489525773,0.583153333,0.048333333,0.715014164,0.641505969 +2018/06/14 16:00,0.81483068,0.232274673,0.436513333,0.258333333,0.662322946,0.646235078 +2018/06/14 17:00,0.742231388,0.017821312,0.533156667,0.795,0.601133144,0.638429752 +2018/06/14 18:00,0.683492482,0,0.47565,0.943333333,0.561473088,0.636639118 +2018/06/14 19:00,0.655305335,0,0.349163333,0.198333333,0.551274788,0.638429752 +2018/06/14 20:00,0.758418844,0,0.329153333,0,0.623229462,0.636225895 +2018/06/14 21:00,0.781512427,0,0.175163333,0,0.682152975,0.639669421 +2018/06/14 22:00,0.712124348,0,0,0,0.725779037,0.628604224 +2018/06/14 23:00,0.662644148,0,0,0,0.732577904,0.618181818 +2018/06/15 00:00,0.612161889,0,0,0,0.732577904,0.618503214 +2018/06/15 01:00,0.558715804,0,0,0,0.733711048,0.618044077 +2018/06/15 02:00,0.606723235,0,0,0,0.731444759,0.618089991 +2018/06/15 03:00,0.654281135,0,0,0,0.733144476,0.617355372 +2018/06/15 04:00,0.649159174,0,0,0,0.693484419,0.616253444 +2018/06/15 05:00,0.636291704,0,0,0,0.705382436,0.616161616 +2018/06/15 06:00,0.588641395,5.49E-05,0,0.161666667,0.682152975,0.617263545 +2018/06/15 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20:00,0.648572474,0,0,1,0.655524079,0.566023875 +2018/06/15 21:00,0.642529792,0,0,0.168333333,0.750708215,0.59426079 +2018/06/15 22:00,0.629592534,0,0,0,0.733144476,0.589761249 +2018/06/15 23:00,0.641516181,0,0,0,0.742776204,0.562993572 +2018/06/16 00:00,0.60510319,0,0,0,0.754674221,0.566391185 +2018/06/16 01:00,0.607973644,0,0,0,0.772804533,0.595224977 +2018/06/16 02:00,0.609395395,0,0,0,0.776770538,0.577456382 +2018/06/16 03:00,0.595009915,0,0,0,0.750141643,0.56322314 +2018/06/16 04:00,0.546448511,0,0,0,0.75184136,0.594352617 +2018/06/16 05:00,0.480707218,0,0,0,0.74674221,0.589348026 +2018/06/16 06:00,0.438793004,5.02E-05,0,0,0.721246459,0.565426997 +2018/06/16 07:00,0.436262827,0.034526079,0,0.141666667,0.720113314,0.585445363 +2018/06/16 08:00,0.42205687,0.284914428,0,0.348333333,0.672521246,0.595224977 +2018/06/16 09:00,0.425147758,0.549185654,0.02121,0.4,0.661189802,0.57805326 +2018/06/16 10:00,0.422006815,0.692178756,0.235016667,0.401666667,0.673654391,0.576997245 +2018/06/16 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14:00,0.726796681,0.617567613,0.88317,0,0.811331445,0.612764004 +2018/06/17 15:00,0.704195464,0.489082818,0.990376667,0,0.798866856,0.600964187 +2018/06/17 16:00,0.630320255,0.237708165,0.918186667,0,0.791501416,0.613682277 +2018/06/17 17:00,0.569343319,0.019099302,0.649086667,0.518333333,0.718413598,0.621533517 +2018/06/17 18:00,0.54680082,0,0.523106667,1,0.614730878,0.547566575 +2018/06/17 19:00,0.54101082,0,0.473633333,1,0.645325779,0.52681359 +2018/06/17 20:00,0.561625724,0,0.35208,0.813333333,0.673087819,0.59862259 +2018/06/17 21:00,0.56944776,0,0.332726667,0.02,0.708215297,0.617676768 +2018/06/17 22:00,0.608790405,0,0.024833333,0,0.72407932,0.595913682 +2018/06/17 23:00,0.663174056,0,0,0,0.513314448,0.593342516 +2018/06/18 00:00,0.568165104,0,0,0,0.368838527,0.613682277 +2018/06/18 01:00,0.4624035,0,0,0,0.381303116,0.604407713 +2018/06/18 02:00,0.410582754,0,0,0,0.346175637,0.585399449 +2018/06/18 03:00,0.490789904,0,0,0,0.343342776,0.600918274 +2018/06/18 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07:00,0.332069769,0.028546524,0,0.193333333,0.649858357,0.579247016 +2018/06/19 08:00,0.303789731,0.223268371,0.001676667,0.395,0.641926346,0.591138659 +2018/06/19 09:00,0.300285409,0.441827716,0.09678,0.403333333,0.60509915,0.608218549 +2018/06/19 10:00,0.352369905,0.545753261,0.170193333,0.4,0.623229462,0.597015611 +2018/06/19 11:00,0.453487477,0.638378364,0.27845,0.2,0.634560907,0.608034894 +2018/06/19 12:00,0.491387675,0.648474077,0.276366667,0.005,0.654390935,0.60610652 +2018/06/19 13:00,0.50754914,0.675469241,0.27799,0,0.660056657,0.603397612 +2018/06/19 14:00,0.525433648,0.630062611,0.175213333,0,0.659490085,0.579292929 +2018/06/19 15:00,0.510942283,0.490611115,0.28958,0,0.633427762,0.592653811 +2018/06/19 16:00,0.446396531,0.25188205,0.400843333,0,0.608498584,0.599586777 +2018/06/19 17:00,0.305421809,0.022157931,0.486066667,0.396666667,0.589235127,0.600459137 +2018/06/19 18:00,0.273272626,0,0.359783333,1.005,0.563172805,0.599954086 +2018/06/19 19:00,0.253773848,0,0.185076667,1.005,0.540509915,0.596051423 +2018/06/19 20:00,0.202121556,0,0.017736667,0.595,0.5898017,0.592286501 +2018/06/19 21:00,0.156617831,0,0,0,0.712747875,0.591919192 +2018/06/19 22:00,0.145480142,0,0,0,0.701983003,0.590679522 +2018/06/19 23:00,0.138096086,0,0,0,0.712181303,0.586501377 +2018/06/20 00:00,0.1194776,0,0,0,0.731444759,0.586317723 +2018/06/20 01:00,0.107426891,0,0,0,0.735410765,0.577272727 +2018/06/20 02:00,0.096244922,0,0,0,0.732577904,0.571120294 +2018/06/20 03:00,0.069850124,0,0,0,0.704815864,0.572222222 +2018/06/20 04:00,0.057461063,0,0,0,0.683286119,0.57231405 +2018/06/20 05:00,0.052685155,0,0,0,0.680453258,0.571303949 +2018/06/20 06:00,0.057769574,2.37E-05,0,0,0.641359773,0.576629936 +2018/06/20 07:00,0.058049689,0.033511284,0,0.193333333,0.658923513,0.585123967 +2018/06/20 08:00,0.060206861,0.291677464,0.00072,0.391666667,0.636827195,0.569375574 +2018/06/20 09:00,0.031004178,0.569068438,0.195516667,0.401666667,0.611898017,0.563452709 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22:00,0.139286333,0,0.017843333,0,0.67082153,0.583011938 +2018/06/20 23:00,0.135246328,0,0,0,0.708215297,0.597520661 +2018/06/21 00:00,0.173379955,0,0,0,0.73427762,0.612901745 +2018/06/21 01:00,0.167598618,0,0,0,0.758640227,0.598806244 +2018/06/21 02:00,0.159132607,0,0,0,0.749575071,0.594536272 +2018/06/21 03:00,0.156766071,0,0,0,0.72917847,0.598438935 +2018/06/21 04:00,0.151931925,0,0,0,0.701983003,0.59600551 +2018/06/21 05:00,0.185801263,0,0,0,0.650991501,0.59687787 +2018/06/21 06:00,0.233149318,1.97E-05,0,0,0.611331445,0.599403122 +2018/06/21 07:00,0.269838573,0.029667139,0,0.186666667,0.625495751,0.599173554 +2018/06/21 08:00,0.309491654,0.278408482,0,0.2,0.61529745,0.600459137 +2018/06/21 09:00,0.313964827,0.558683073,0.212373333,0.198333333,0.603966006,0.57107438 +2018/06/21 10:00,0.30056793,0.675285411,0.58305,0.2,0.607932011,0.558126722 +2018/06/21 11:00,0.319016999,0.730260007,0.6337,0.198333333,0.619263456,0.552295684 +2018/06/21 12:00,0.369808733,0.74816272,0.636303333,0.2,0.624929178,0.565105601 +2018/06/21 13:00,0.411953969,0.735456759,0.645216667,0.2,0.63286119,0.590128558 +2018/06/21 14:00,0.423403057,0.675840292,0.887623333,0.201666667,0.680453258,0.588751148 +2018/06/21 15:00,0.483475637,0.535789824,1.00256,0.02,0.68101983,0.59825528 +2018/06/21 16:00,0.423098396,0.255067529,0.955263333,0,0.634560907,0.592883379 +2018/06/21 17:00,0.382055811,0.021012217,0.713573333,0.468333333,0.597733711,0.588567493 +2018/06/21 18:00,0.331683287,0,0.555996667,1,0.545609065,0.597979798 +2018/06/21 19:00,0.242895578,0,0.50222,1.001666667,0.566572238,0.609136823 +2018/06/21 20:00,0.223546965,0,0.35101,0.526666667,0.586402266,0.56969697 +2018/06/21 21:00,0.236734497,0,0.334396667,0,0.658923513,0.578741965 +2018/06/21 22:00,0.239086595,0,0.038476667,0,0.705949008,0.608126722 +2018/06/21 23:00,0.268014458,0,0,0,0.725779037,0.591138659 +2018/06/22 00:00,0.301287469,0,0,0,0.678753541,0.579247016 +2018/06/22 01:00,0.296770498,0,0,0,0.522379603,0.595684114 +2018/06/22 02:00,0.246775311,0,0,0,0.456090652,0.611616162 +2018/06/22 03:00,0.278772886,0,0,0,0.420396601,0.585445363 +2018/06/22 04:00,0.321692047,0,0,0,0.626062323,0.577823691 +2018/06/22 05:00,0.306714572,0,0,0,0.677053824,0.605831038 +2018/06/22 06:00,0.288930173,1.56E-05,0,0,0.669121813,0.604453627 +2018/06/22 07:00,0.238006084,0.031646531,0,0.188333333,0.629461756,0.559641873 +2018/06/22 08:00,0.190390909,0.283780924,0.00342,0.36,0.63796034,0.585215794 +2018/06/22 09:00,0.129684943,0.557695412,0.201,0.4,0.590934844,0.603764922 +2018/06/22 10:00,0.118798491,0.678406447,0.32235,0.401666667,0.601699717,0.542607897 +2018/06/22 11:00,0.11985975,0.729644076,0.32639,0.206666667,0.619830028,0.454958678 +2018/06/22 12:00,0.129172843,0.744737788,0.325286667,0.038333333,0.625495751,0.487144169 +2018/06/22 13:00,0.099237626,0.72958506,0.396836667,0,0.671954674,0.420661157 +2018/06/22 14:00,0.091208151,0.673171708,0.65088,0,0.67592068,0.564279155 +2018/06/22 15:00,0.082412452,0.542727871,0.667236667,0,0.687252125,0.569283747 +2018/06/22 16:00,0.08289423,0.274449698,0.621956667,0,0.652124646,0.569880624 +2018/06/22 17:00,0.072777371,0.024178023,0.50296,0.62,0.657790368,0.567722681 +2018/06/22 18:00,0.05934149,0,0.494846667,0.998333333,0.65325779,0.565105601 +2018/06/22 19:00,0.053071636,0,0.505283333,1.001666667,0.532577904,0.549219467 +2018/06/22 20:00,0.065699902,0,0.472826667,0.375,0.564872521,0.559458219 +2018/06/22 21:00,0.100778257,0,0.284186667,0,0.660056657,0.564416896 +2018/06/22 22:00,0.109169185,0,0,0,0.699716714,0.566069789 +2018/06/22 23:00,0.176205167,0,0,0,0.722379603,0.565610652 +2018/06/23 00:00,0.241998922,0,0,0,0.758640227,0.566850321 +2018/06/23 01:00,0.288550912,0,0,0,0.738243626,0.565610652 +2018/06/23 02:00,0.329165624,0,0,0,0.533711048,0.565197429 +2018/06/23 03:00,0.422918391,0,0,0,0.46572238,0.565656566 +2018/06/23 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08:00,0.223715419,0.284487753,0.003693333,0.391666667,0.661189802,0.527731864 +2018/06/24 09:00,0.161733535,0.558499244,0.13497,0.391666667,0.661189802,0.460927456 +2018/06/24 10:00,0.167410912,0.666462261,0.28928,0.405,0.690084986,0.470615243 +2018/06/24 11:00,0.170193289,0.717630021,0.328776667,0.208333333,0.695750708,0.557162534 +2018/06/24 12:00,0.16380263,0.734264918,0.32939,0.005,0.695184136,0.516620753 +2018/06/24 13:00,0.177708738,0.714971612,0.332806667,0,0.714447592,0.526400367 +2018/06/24 14:00,0.187784687,0.664691797,0.53327,0,0.72407932,0.554086318 +2018/06/24 15:00,0.162014612,0.533656449,0.658966667,0,0.711614731,0.555004591 +2018/06/24 16:00,0.126429452,0.266623705,0.611033333,0,0.691784703,0.52892562 +2018/06/24 17:00,0.139133762,0.022886466,0.5001,0.668333333,0.64305949,0.526859504 +2018/06/24 18:00,0.127320813,0,0.49273,0.995,0.580736544,0.551423324 +2018/06/24 19:00,0.129026529,0,0.4993,1.001666667,0.609631728,0.549311295 +2018/06/24 20:00,0.141270239,0,0.419573333,0.311666667,0.633427762,0.517217631 +2018/06/24 21:00,0.134921452,0,0.266443333,0.011666667,0.666288952,0.542883379 +2018/06/24 22:00,0.130724544,0,0,0,0.695750708,0.549862259 +2018/06/24 23:00,0.140822633,0,0,0,0.649858357,0.522635445 +2018/06/25 00:00,0.152656277,0,0,0,0.450424929,0.513544536 +2018/06/25 01:00,0.14154554,0,0,0,0.43796034,0.535169881 +2018/06/25 02:00,0.161388445,0,0,0,0.466855524,0.521028466 +2018/06/25 03:00,0.176604162,0,0,0,0.461189802,0.517814509 +2018/06/25 04:00,0.176267736,0,0,0,0.657790368,0.519926538 +2018/06/25 05:00,0.165354331,0,0,0,0.695184136,0.52405877 +2018/06/25 06:00,0.158956452,2.10E-05,0,0,0.712747875,0.520936639 +2018/06/25 07:00,0.14013149,0.02841764,0,0.303333333,0.718413598,0.52107438 +2018/06/25 08:00,0.1388214,0.226259166,0.000423333,0.401666667,0.730311615,0.524196511 +2018/06/25 09:00,0.124651541,0.478289773,0.128276667,0.401666667,0.678186969,0.526767677 +2018/06/25 10:00,0.09617369,0.583144642,0.28277,0.366666667,0.677053824,0.528145087 +2018/06/25 11:00,0.088356949,0.641057801,0.222783333,0.115,0.698016997,0.527869605 +2018/06/25 12:00,0.104400015,0.666863837,0.152936667,0,0.705382436,0.527364555 +2018/06/25 13:00,0.098969544,0.645753261,0.14317,0,0.693484419,0.527915519 +2018/06/25 14:00,0.105224477,0.558434123,0.185006667,0,0.691784703,0.532093664 +2018/06/25 15:00,0.0913896,0.415522422,0.19695,0,0.683286119,0.536134068 +2018/06/25 16:00,0.114312323,0.195404256,0.24762,0,0.673654391,0.536914601 +2018/06/25 17:00,0.17830699,0.015974874,0.387606667,0.661666667,0.677053824,0.536730946 +2018/06/25 18:00,0.2055301,0,0.288296667,1,0.631728045,0.550413223 +2018/06/25 19:00,0.228627534,0,0.282816667,1,0.568271955,0.55573921 +2018/06/25 20:00,0.274238107,0,0.2831,0.326666667,0.55694051,0.554683196 +2018/06/25 21:00,0.304620449,0,0.177753333,0,0.664022663,0.553673095 +2018/06/25 22:00,0.274352174,0,0,0,0.726912181,0.551652893 +2018/06/25 23:00,0.308691258,0,0,0,0.717847025,0.574793388 +2018/06/26 00:00,0.378243459,0,0,0,0.402832861,0.571579431 +2018/06/26 01:00,0.396293533,0,0,0,0.351274788,0.571166208 +2018/06/26 02:00,0.398917563,0,0,0,0.35694051,0.57144169 +2018/06/26 03:00,0.37359702,0,0,0,0.354107649,0.58902663 +2018/06/26 04:00,0.301604644,0,0,0,0.450424929,0.585169881 +2018/06/26 05:00,0.262915118,0,0,0,0.69121813,0.600964187 +2018/06/26 06:00,0.29308954,8.82E-06,0,0,0.691784703,0.605831038 +2018/06/26 07:00,0.306325684,0.023081828,0,0.116666667,0.704815864,0.626859504 +2018/06/26 08:00,0.339832124,0.205916469,0,0.401666667,0.700283286,0.648438935 +2018/06/26 09:00,0.343535221,0.429220792,0.012206667,0.401666667,0.633994334,0.688888889 +2018/06/26 10:00,0.342641453,0.527497134,0.23186,0.401666667,0.645892351,0.717768595 +2018/06/26 11:00,0.391427141,0.619454073,0.317503333,0.268333333,0.68101983,0.720982553 +2018/06/26 12:00,0.436935679,0.636905691,0.301433333,0.268333333,0.678753541,0.719467401 +2018/06/26 13:00,0.445680361,0.609524552,0.154063333,0,0.698016997,0.792194674 +2018/06/26 14:00,0.439101515,0.562700195,0.210666667,0,0.721813031,0.857943067 +2018/06/26 15:00,0.407464913,0.430146046,0.31707,0,0.698583569,0.858907254 +2018/06/26 16:00,0.386261383,0.205803865,0.5115,0,0.633994334,0.860422406 +2018/06/26 17:00,0.380105597,0.017294243,0.371386667,0.385,0.628895184,0.866528926 +2018/06/26 18:00,0.388757869,0,0.333646667,1.001666667,0.593201133,0.866345271 +2018/06/26 19:00,0.388838246,0,0.333106667,1.001666667,0.545609065,0.866528926 +2018/06/26 20:00,0.392197697,0,0.332683333,0.576666667,0.6101983,0.866620753 +2018/06/26 21:00,0.442501877,0,0.253083333,0,0.678186969,0.867263545 +2018/06/26 22:00,0.495071521,0,0,0,0.479886686,0.867263545 +2018/06/26 23:00,0.505360684,0,0,0,0.483852691,0.866896235 +2018/06/27 00:00,0.46650463,0,0,0,0.474220963,0.867401286 +2018/06/27 01:00,0.497905396,0,0,0,0.340509915,0.866345271 +2018/06/27 02:00,0.374340142,0,0,0,0.35694051,0.865381084 +2018/06/27 03:00,0.338778084,0,0,0,0.396600567,0.865289256 +2018/06/27 04:00,0.435738694,0,0,0,0.567705382,0.866299357 +2018/06/27 05:00,0.405165277,0,0,0,0.702549575,0.866758494 +2018/06/27 06:00,0.433106963,2.51E-05,0,0,0.669688385,0.866988062 +2018/06/27 07:00,0.498529157,0.025361046,0,0.293333333,0.67592068,0.866758494 +2018/06/27 08:00,0.534918083,0.232575177,0,0.525,0.644192635,0.860055096 +2018/06/27 09:00,0.456496544,0.45798235,0.069496667,0.551666667,0.652691218,0.842929293 +2018/06/27 10:00,0.410105308,0.523573623,0.304266667,0.418333333,0.677620397,0.868411387 +2018/06/27 11:00,0.434739041,0.590938074,0.321016667,0.293333333,0.670254958,0.853673095 +2018/06/27 12:00,0.418559767,0.61857766,0.324193333,0,0.678186969,0.848852158 +2018/06/27 13:00,0.506269372,0.608523325,0.326703333,0,0.720679887,0.858953168 +2018/06/27 14:00,0.606918642,0.539402655,0.40575,0,0.734844193,0.866161616 +2018/06/27 15:00,0.593494792,0.447932085,0.651146667,0,0.72917847,0.866896235 +2018/06/27 16:00,0.553075968,0.228063547,0.602216667,0,0.674220963,0.866896235 +2018/06/27 17:00,0.472304257,0.023320603,0.48291,0.625,0.652691218,0.864600551 +2018/06/27 18:00,0.441403558,0,0.45127,1,0.531444759,0.864600551 +2018/06/27 19:00,0.396334444,0,0.44488,0.795,0.568838527,0.770156107 +2018/06/27 20:00,0.387984907,0,0.33773,0.315,0.592067989,0.754499541 +2018/06/27 21:00,0.389289221,0,0.25437,0,0.6101983,0.766666667 +2018/06/27 22:00,0.425019733,0,0,0,0.477053824,0.823232323 +2018/06/27 23:00,0.4141997,0,0,0,0.42776204,0.822681359 +2018/06/28 00:00,0.328467262,0,0,0,0.440793201,0.822222222 +2018/06/28 01:00,0.325811948,0,0,0,0.451558074,0.822451791 +2018/06/28 02:00,0.338570645,0,0,0,0.484985836,0.822497704 +2018/06/28 03:00,0.342817126,0,0,0,0.542776204,0.82231405 +2018/06/28 04:00,0.351429452,0,0,0,0.616997167,0.823370064 +2018/06/28 05:00,0.356280923,0,0,0,0.622096317,0.822084481 +2018/06/28 06:00,0.316485378,1.70E-05,0,0,0.633994334,0.821763085 +2018/06/28 07:00,0.28132424,0.028424423,0,0.253333333,0.614164306,0.823553719 +2018/06/28 08:00,0.259124906,0.274497182,0.000526667,0.511666667,0.599433428,0.827272727 +2018/06/28 09:00,0.193558805,0.545797353,0.08443,0.55,0.595467422,0.824288338 +2018/06/28 10:00,0.143090503,0.661204458,0.260526667,0.456666667,0.590368272,0.834756657 +2018/06/28 11:00,0.112951216,0.720748343,0.325823333,0.216666667,0.591501416,0.853030303 +2018/06/28 12:00,0.093114568,0.736973524,0.322156667,0,0.597733711,0.878328742 +2018/06/28 13:00,0.064440348,0.71129366,0.356423333,0,0.600566572,0.87020202 +2018/06/28 14:00,0.050591032,0.648754231,0.61228,0,0.6,0.86046832 +2018/06/28 15:00,0.060035038,0.482807508,0.662746667,0,0.646458924,0.861386593 +2018/06/28 16:00,0.071753653,0.222221016,0.615853333,0,0.671388102,0.861707989 +2018/06/28 17:00,0.121369578,0.022995679,0.50031,0.633333333,0.62776204,0.862350781 +2018/06/28 18:00,0.144557496,0,0.50209,1.001666667,0.569971671,0.861891644 +2018/06/28 19:00,0.144731244,0,0.49988,0.791666667,0.604532578,0.862213039 +2018/06/28 20:00,0.14140067,0,0.377773333,0.321666667,0.644192635,0.862442608 +2018/06/28 21:00,0.157291165,0,0.279726667,0,0.677620397,0.862901745 +2018/06/28 22:00,0.168434149,0,0.000793333,0,0.392634561,0.862672176 +2018/06/28 23:00,0.18898071,0,0,0,0.068555241,0.862350781 +2018/06/29 00:00,0.192938413,0,0,0,0.209065156,0.862855831 +2018/06/29 01:00,0.173858364,0,0,0,0.368838527,0.862075298 +2018/06/29 02:00,0.182637218,0,0,0,0.471388102,0.862350781 +2018/06/29 03:00,0.235127929,0,0,0,0.445325779,0.862993572 +2018/06/29 04:00,0.237846774,0,0,0,0.575637394,0.862488522 +2018/06/29 05:00,0.252945055,0,0,0,0.621529745,0.862075298 +2018/06/29 06:00,0.257439405,2.71E-06,0,0,0.613597734,0.862580349 +2018/06/29 07:00,0.285913886,0.026317503,0,0.566666667,0.629461756,0.861524334 +2018/06/29 08:00,0.315225343,0.250169245,0.000126667,0.701666667,0.625495751,0.85922865 +2018/06/29 09:00,0.301738925,0.472260021,0.13061,0.471666667,0.616997167,0.858218549 +2018/06/29 10:00,0.264555378,0.594460687,0.21654,0.255,0.581869688,0.840863177 +2018/06/29 11:00,0.262624415,0.647683134,0.321906667,0,0.545609065,0.859641873 +2018/06/29 12:00,0.306794948,0.668036685,0.32542,0,0.554674221,0.857943067 +2018/06/29 13:00,0.332224265,0.659191149,0.45581,0,0.569405099,0.859779614 +2018/06/29 14:00,0.329764838,0.611676921,0.57404,0,0.568271955,0.859641873 +2018/06/29 15:00,0.27506305,0.491079847,0.634776667,0,0.549008499,0.839990817 +2018/06/29 16:00,0.259049824,0.247219151,0.612043333,0,0.554674221,0.840679522 +2018/06/29 17:00,0.29035048,0.023355877,0.505773333,0.415,0.498583569,0.860238751 +2018/06/29 18:00,0.287377029,0,0.514703333,0.851666667,0.467988669,0.860192837 +2018/06/29 19:00,0.26803756,0,0.502393333,0.891666667,0.488951841,0.860606061 +2018/06/29 20:00,0.290531929,0,0.35799,0.506666667,0.554674221,0.858539945 +2018/06/29 21:00,0.260168358,0,0.266296667,0.078333333,0.580736544,0.858953168 +2018/06/29 22:00,0.265046301,0,0,0,0.417563739,0.858631772 +2018/06/29 23:00,0.277546541,0,0,0,0.226628895,0.858861341 +2018/06/30 00:00,0.286396026,0,0,0,0.261756374,0.858953168 +2018/06/30 01:00,0.349039312,0,0,0,0.248725212,0.8587236 +2018/06/30 02:00,0.449581202,0,0,0,0.239660057,0.858953168 +2018/06/30 03:00,0.456305535,0,0,0,0.234560907,0.858631772 +2018/06/30 04:00,0.412361522,0,0,0,0.240226629,0.858080808 +2018/06/30 05:00,0.384212121,0,0,0,0.260623229,0.857162534 +2018/06/30 06:00,0.393628111,1.36E-05,0,0,0.432294618,0.856703398 +2018/06/30 07:00,0.384469362,0.026970065,0,0.658333333,0.649291785,0.844214876 +2018/06/30 08:00,0.403991807,0.25248238,0.001233333,0.511666667,0.632294618,0.797979798 +2018/06/30 09:00,0.361321979,0.522779967,0.177363333,0.4,0.62266289,0.861386593 +2018/06/30 10:00,0.382702331,0.631188653,0.321773333,0.215,0.626628895,0.860881543 +2018/06/30 11:00,0.425018271,0.67618421,0.325006667,0.198333333,0.636260623,0.860697888 +2018/06/30 12:00,0.451398719,0.695280798,0.325363333,0.008333333,0.640793201,0.86046832 +2018/06/30 13:00,0.457320556,0.676025478,0.38171,0,0.656090652,0.860238751 +2018/06/30 14:00,0.451249183,0.629619656,0.646006667,0,0.660623229,0.859963269 +2018/06/30 15:00,0.393946417,0.50809258,0.663576667,0,0.633427762,0.860192837 +2018/06/30 16:00,0.369761415,0.262516365,0.618563333,0,0.605665722,0.860514233 +2018/06/30 17:00,0.353942282,0.026299866,0.50487,0.48,0.598300283,0.860238751 +2018/06/30 18:00,0.297914663,0,0.50322,0.955,0.521246459,0.860560147 +2018/06/30 19:00,0.270817787,0,0.49096,0.82,0.539376771,0.860881543 +2018/06/30 20:00,0.289204524,0,0.42662,0.401666667,0.591501416,0.860606061 +2018/06/30 21:00,0.276832423,0,0.276653333,0.078333333,0.624362606,0.860651974 +2018/06/30 22:00,0.324971151,0,0,0,0.633427762,0.860927456 +2018/06/30 23:00,0.428798034,0,0,0,0.620963173,0.848163453 +2018/07/01 00:00,0.545997615,0,0,0,0.626628895,0.800688705 +2018/07/01 01:00,0.554096627,0,0,0,0.624362606,0.794444444 +2018/07/01 02:00,0.578340289,0,0,0,0.467422096,0.798438935 +2018/07/01 03:00,0.60591751,0,0,0,0.398866856,0.828787879 +2018/07/01 04:00,0.598084394,0,0,0,0.411331445,0.858448118 +2018/07/01 05:00,0.639100185,0,0,0,0.410764873,0.858494031 +2018/07/01 06:00,0.68298169,1.63E-05,0,0,0.419830028,0.857943067 +2018/07/01 07:00,0.696906374,0.030906464,0,0.166666667,0.651558074,0.859550046 +2018/07/01 08:00,0.743638208,0.281222231,0.000653333,0.201666667,0.661189802,0.860330579 +2018/07/01 09:00,0.718565604,0.536004179,0.168703333,0.03,0.666855524,0.860238751 +2018/07/01 10:00,0.701150133,0.64352424,0.320313333,0,0.667988669,0.855142332 +2018/07/01 11:00,0.723872466,0.680717547,0.329746667,0,0.666855524,0.859182736 +2018/07/01 12:00,0.782670597,0.693134535,0.328626667,0,0.668555241,0.855509642 +2018/07/01 13:00,0.803167673,0.675632042,0.44423,0,0.671388102,0.859044995 +2018/07/01 14:00,0.793168443,0.615131021,0.65653,0,0.678186969,0.859779614 +2018/07/01 15:00,0.748464727,0.489484395,0.643833333,0,0.68611898,0.858861341 +2018/07/01 16:00,0.770460534,0.2387311,0.586413333,0,0.68611898,0.857713499 +2018/07/01 17:00,0.898429626,0.019560572,0.49002,0,0.636827195,0.830624426 +2018/07/01 18:00,0.879907778,0,0.472523333,0.34,0.593201133,0.787741047 +2018/07/01 19:00,0.78747644,0,0.36813,0.35,0.584135977,0.807254362 +2018/07/01 20:00,0.68642728,0,0.33193,0.346666667,0.632294618,0.85573921 +2018/07/01 21:00,0.595276859,0,0.220863333,0.15,0.650424929,0.860009183 +2018/07/01 22:00,0.550380813,0,0,0.146666667,0.651558074,0.860146924 +2018/07/01 23:00,0.583050929,0,0,0,0.663456091,0.859550046 +2018/07/02 00:00,0.666652883,0,0,0,0.53427762,0.859779614 +2018/07/02 01:00,0.725641901,0,0,0,0.474220963,0.859458219 +2018/07/02 02:00,0.750349079,0,0,0,0.487252125,0.857988981 +2018/07/02 03:00,0.736553256,0,0,0,0.490084986,0.434940312 +2018/07/02 04:00,0.850595261,0,0,0,0.593201133,0.404591368 +2018/07/02 05:00,0.854564469,0,0,0,0.661756374,0.759733701 +2018/07/02 06:00,0.85670462,1.76E-05,0,0,0.725212465,0.823966942 +2018/07/02 07:00,0.829083163,0.019504948,0,0.193333333,0.730311615,0.82456382 +2018/07/02 08:00,0.792120725,0.207503103,0,0.201666667,0.686685552,0.83241506 +2018/07/02 09:00,0.748808036,0.454004572,0.051783333,0.006666667,0.689518414,0.774931129 +2018/07/02 10:00,0.72133275,0.620057794,0.112213333,0,0.708215297,0.778741965 +2018/07/02 11:00,0.752310844,0.657483092,0.145683333,0,0.703116147,0.433654729 +2018/07/02 12:00,0.804563988,0.688876603,0.235873333,0,0.715014164,0.394444444 +2018/07/02 13:00,0.818217487,0.729133965,0.27556,0,0.72407932,0.397520661 +2018/07/02 14:00,0.826525657,0.646498077,0.29184,0,0.744475921,0.397658402 +2018/07/02 15:00,0.803224411,0.501223723,0.219436667,0,0.715580737,0.388200184 +2018/07/02 16:00,0.752276224,0.229903879,0.175096667,0,0.66572238,0.39687787 +2018/07/02 17:00,0.691746644,0.021333071,0.15785,0.018333333,0.59490085,0.586730946 +2018/07/02 18:00,0.662311517,0,0.28768,0.49,0.494050992,0.655417815 +2018/07/02 19:00,0.629455322,0,0.036096667,0.651666667,0.563172805,0.753948577 +2018/07/02 20:00,0.616260049,0,0,0.171666667,0.628328612,0.841827365 +2018/07/02 21:00,0.579950571,0,0,0,0.679886686,0.848806244 +2018/07/02 22:00,0.51891901,0,0,0,0.645325779,0.829522498 +2018/07/02 23:00,0.475091838,0,0,0,0.664589235,0.814370983 +2018/07/03 00:00,0.399291264,0,0,0,0.618696884,0.831359045 +2018/07/03 01:00,0.395176367,0,0,0,0.584135977,0.841689624 +2018/07/03 02:00,0.369246452,0,0,0,0.439093484,0.805922865 +2018/07/03 03:00,0.35657624,0,0,0,0.419830028,0.853764922 +2018/07/03 04:00,0.371941955,0,0,0,0.593201133,0.8315427 +2018/07/03 05:00,0.348818133,0,0,0,0.596033994,0.836317723 +2018/07/03 06:00,0.346621245,1.02E-05,0,0,0.649291785,0.850275482 +2018/07/03 07:00,0.354190868,0.029630509,0,0.195,0.654390935,0.846051423 +2018/07/03 08:00,0.340541216,0.276635305,0,0.201666667,0.509348442,0.836179982 +2018/07/03 09:00,0.312323057,0.579109206,0.009966667,0.001666667,0.530311615,0.836593205 +2018/07/03 10:00,0.290577759,0.696969861,0.231143333,0,0.548441926,0.836730946 +2018/07/03 11:00,0.298202196,0.754076476,0.327993333,0,0.542209632,0.836639118 +2018/07/03 12:00,0.284701119,0.760281239,0.332053333,0,0.549008499,0.835215794 +2018/07/03 13:00,0.233700523,0.7508001,0.333433333,0,0.622096317,0.83640955 +2018/07/03 14:00,0.179332711,0.703606048,0.3331,0,0.696883853,0.836134068 +2018/07/03 15:00,0.125377928,0.569481546,0.548173333,0,0.699150142,0.84338843 +2018/07/03 16:00,0.073628207,0.293342107,0.625063333,0,0.693484419,0.826859504 +2018/07/03 17:00,0.058950552,0.028265692,0.501453333,0.246666667,0.637393768,0.795592287 +2018/07/03 18:00,0.063930454,0,0.487906667,0.845,0.603399433,0.795041322 +2018/07/03 19:00,0.11138064,0,0.48972,0.245,0.605665722,0.79513315 +2018/07/03 20:00,0.094851329,0,0.376953333,0,0.616997167,0.794444444 +2018/07/03 21:00,0.085609878,0,0.29375,0,0.664022663,0.793480257 +2018/07/03 22:00,0.082319595,0,0,0,0.5898017,0.79338843 +2018/07/03 23:00,0.088730911,0,0,0,0.584135977,0.794123049 +2018/07/04 00:00,0.10315421,0,0,0,0.588101983,0.794398531 +2018/07/04 01:00,0.119083452,0,0,0,0.584135977,0.795316804 +2018/07/04 02:00,0.151577586,0,0,0,0.585269122,0.795730028 +2018/07/04 03:00,0.263168827,0,0,0,0.588668555,0.795041322 +2018/07/04 04:00,0.322116013,0,0,0,0.596033994,0.795179063 +2018/07/04 05:00,0.324018637,0,0,0,0.598866856,0.794398531 +2018/07/04 06:00,0.346765492,1.36E-05,0,0,0.628895184,0.793572084 +2018/07/04 07:00,0.396931377,0.030075499,0,0.195,0.63796034,0.793434343 +2018/07/04 08:00,0.415615744,0.291399345,0.002673333,0.201666667,0.638526912,0.793434343 +2018/07/04 09:00,0.324247509,0.560245966,0.169016667,0,0.651558074,0.802571166 +2018/07/04 10:00,0.229869793,0.67221525,0.317126667,0,0.650991501,0.831267218 +2018/07/04 11:00,0.191923107,0.726324287,0.331346667,0,0.64815864,0.837190083 +2018/07/04 12:00,0.180193869,0.749862636,0.379546667,0,0.651558074,0.838888889 +2018/07/04 13:00,0.179119225,0.732658613,0.628873333,0,0.650991501,0.838429752 +2018/07/04 14:00,0.192763588,0.672464879,0.67042,0,0.655524079,0.838842975 +2018/07/04 15:00,0.164093453,0.540251257,0.666606667,0,0.654390935,0.838567493 +2018/07/04 16:00,0.109665058,0.276640732,0.622326667,0,0.652691218,0.854499541 +2018/07/04 17:00,0.100833269,0.026871027,0.507933333,0.048333333,0.646458924,0.848301194 +2018/07/04 18:00,0.14615773,0,0.49055,0.7,0.618696884,0.863085399 +2018/07/04 19:00,0.154005751,0,0.496776667,0.475,0.620396601,0.862901745 +2018/07/04 20:00,0.143477132,2.04E-06,0.493876667,0.12,0.634560907,0.863360882 +2018/07/04 21:00,0.158299996,0,0.316926667,0,0.63796034,0.864370983 +2018/07/04 22:00,0.178088337,0,0,0,0.609631728,0.865289256 +2018/07/04 23:00,0.19602358,0,0,0,0.578470255,0.864921947 +2018/07/05 00:00,0.199674962,0,0,0,0.607365439,0.864554637 +2018/07/05 01:00,0.199346559,0,0,0,0.620396601,0.864370983 +2018/07/05 02:00,0.227593568,0,0,0,0.545042493,0.843204775 +2018/07/05 03:00,0.219074316,0,0,0,0.581869688,0.842424242 +2018/07/05 04:00,0.224893257,0,0,0,0.631161473,0.841919192 +2018/07/05 05:00,0.248859484,0,0,0,0.620963173,0.84077135 +2018/07/05 06:00,0.253531657,3.39E-06,0,0,0.631728045,0.862075298 +2018/07/05 07:00,0.254216833,0.024977106,0,0.196666667,0.638526912,0.863728191 +2018/07/05 08:00,0.257563854,0.264954992,0.0015,0.2,0.63796034,0.864554637 +2018/07/05 09:00,0.213874678,0.545917419,0.094766667,0,0.653824363,0.864233242 +2018/07/05 10:00,0.191214852,0.664439455,0.160776667,0,0.666855524,0.850413223 +2018/07/05 11:00,0.156155518,0.719859041,0.164806667,0,0.685552408,0.866161616 +2018/07/05 12:00,0.142251991,0.736422713,0.212243333,0,0.694617564,0.863452709 +2018/07/05 13:00,0.12818306,0.722041257,0.401776667,0,0.704815864,0.865013774 +2018/07/05 14:00,0.111856176,0.659866774,0.61711,0,0.699716714,0.864554637 +2018/07/05 15:00,0.10550352,0.525637808,0.607676667,0,0.68101983,0.864921947 +2018/07/05 16:00,0.102018502,0.273190701,0.56025,0,0.673654391,0.864830119 +2018/07/05 17:00,0.139135766,0.025527239,0.488046667,0.221666667,0.650991501,0.864279155 +2018/07/05 18:00,0.195992807,0,0.49155,0.951666667,0.620963173,0.863911846 +2018/07/05 19:00,0.278213832,0,0.38563,0.173333333,0.627195467,0.8640955 +2018/07/05 20:00,0.365846059,0,0.329596667,0,0.631161473,0.864600551 +2018/07/05 21:00,0.361980228,0,0.181136667,0,0.304249292,0.864508724 +2018/07/05 22:00,0.375767877,0,0,0,0.289518414,0.863820018 +2018/07/05 23:00,0.351730488,0,0,0,0.425495751,0.861753903 +2018/07/06 00:00,0.357495576,0,0,0,0.451558074,0.862764004 +2018/07/06 01:00,0.339735354,0,0,0,0.457223796,0.862534435 +2018/07/06 02:00,0.313481363,0,0,0,0.464589235,0.862626263 +2018/07/06 03:00,0.318380486,0,0,0,0.557507082,0.829752066 +2018/07/06 04:00,0.349522541,0,0,0,0.624929178,0.828787879 +2018/07/06 05:00,0.350292822,0,0,0,0.641926346,0.827823691 +2018/07/06 06:00,0.35468179,2.31E-05,0,0,0.641359773,0.855876951 +2018/07/06 07:00,0.358420202,0.027793568,0,0.196666667,0.64305949,0.858126722 +2018/07/06 08:00,0.361635958,0.26510694,0,0.201666667,0.64305949,0.862442608 +2018/07/06 09:00,0.316800496,0.544913478,0.073386667,0.001666667,0.656657224,0.862258953 +2018/07/06 10:00,0.244803247,0.65890082,0.274756667,0,0.66572238,0.863131313 +2018/07/06 11:00,0.22021916,0.708886914,0.323823333,0,0.673654391,0.863360882 +2018/07/06 12:00,0.184974709,0.716360849,0.328383333,0,0.659490085,0.862534435 +2018/07/06 13:00,0.137376428,0.694198848,0.316166667,0,0.664589235,0.864233242 +2018/07/06 14:00,0.114396853,0.630563903,0.31506,0,0.666288952,0.863865932 +2018/07/06 15:00,0.10875726,0.507319274,0.41296,0,0.664589235,0.863360882 +2018/07/06 16:00,0.096216871,0.268060426,0.533823333,0,0.660056657,0.864049587 +2018/07/06 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20:00,0.174180194,0,0.331416667,0,0.60509915,0.830394858 +2018/07/07 21:00,0.171277936,0,0.27874,0,0.603399433,0.830716253 +2018/07/07 22:00,0.154190868,0,0,0,0.618130312,0.830532599 +2018/07/07 23:00,0.161699908,0,0,0,0.639093484,0.822497704 +2018/07/08 00:00,0.229267319,0,0,0,0.634560907,0.778328742 +2018/07/08 01:00,0.269389256,0,0,0,0.644192635,0.769375574 +2018/07/08 02:00,0.267545775,0,0,0,0.661756374,0.773553719 +2018/07/08 03:00,0.272273724,0,0,0,0.660056657,0.818227732 +2018/07/08 04:00,0.285740182,0,0,0,0.649291785,0.83328742 +2018/07/08 05:00,0.266725968,0,0,0,0.645325779,0.833241506 +2018/07/08 06:00,0.270962996,2.04E-06,0,0,0.644759207,0.833333333 +2018/07/08 07:00,0.301213602,0.020664229,0,0.183333333,0.652124646,0.818227732 +2018/07/08 08:00,0.308532715,0.230064646,0.000436667,0.203333333,0.650991501,0.833195592 +2018/07/08 09:00,0.252264684,0.480307152,0.15224,0.015,0.657790368,0.833608815 +2018/07/08 10:00,0.207489807,0.620363725,0.31916,0,0.667988669,0.833608815 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00:00,0.19203033,0,0,0,0.295750708,0.787373737 +2018/07/09 01:00,0.223509443,0,0,0,0.350708215,0.824242424 +2018/07/09 02:00,0.279970285,0,0,0,0.35184136,0.83292011 +2018/07/09 03:00,0.310000192,0,0,0,0.364305949,0.832460973 +2018/07/09 04:00,0.318296823,0,0,0,0.445892351,0.832690542 +2018/07/09 05:00,0.276888199,0,0,0,0.62266289,0.831818182 +2018/07/09 06:00,0.329873158,0,0,0,0.626062323,0.832369146 +2018/07/09 07:00,0.398141612,0.014087058,0,0.2,0.647025496,0.831588613 +2018/07/09 08:00,0.394352714,0.147426722,0,0.198333333,0.658356941,0.811202938 +2018/07/09 09:00,0.384345309,0.319964862,0,0.2,0.668555241,0.810422406 +2018/07/09 10:00,0.361346502,0.44628847,0.146586667,0,0.671954674,0.826124885 +2018/07/09 11:00,0.4474699,0.460537651,0.005473333,0,0.673087819,0.801101928 +2018/07/09 12:00,0.478400392,0.457592305,0.01089,0,0.671388102,0.788842975 +2018/07/09 13:00,0.430048179,0.390304506,0.26951,0,0.687818697,0.803030303 +2018/07/09 14:00,0.286268127,0.274572477,0.560853333,0,0.662889518,0.768503214 +2018/07/09 15:00,0.270054718,0.196060888,0.526536667,0,0.669121813,0.793985308 +2018/07/09 16:00,0.191362465,0.108261486,0.550126667,0,0.674220963,0.782782369 +2018/07/09 17:00,0.137735604,0.014277671,0.522576667,0.101666667,0.649858357,0.77805326 +2018/07/09 18:00,0.173850348,0,0.399713333,0.891666667,0.637393768,0.778145087 +2018/07/09 19:00,0.154037966,0,0.3452,0.541666667,0.665155807,0.769375574 +2018/07/09 20:00,0.161140709,0,0.33262,0.008333333,0.646458924,0.754591368 +2018/07/09 21:00,0.173034869,0,0.27384,0,0.690084986,0.775206612 +2018/07/09 22:00,0.201734816,0,0,0,0.629461756,0.753030303 +2018/07/09 23:00,0.240431107,0,0,0,0.619263456,0.746694215 +2018/07/10 00:00,0.230892988,0,0,0,0.580736544,0.752020202 +2018/07/10 01:00,0.225658249,0,0,0,0.536543909,0.754591368 +2018/07/10 02:00,0.2236008,0,0,0,0.445892351,0.748760331 +2018/07/10 03:00,0.243168923,0,0,0,0.449858357,0.733103765 +2018/07/10 04:00,0.259803054,0,0,0,0.577903683,0.734067952 +2018/07/10 05:00,0.248700331,0,0,0,0.632294618,0.748943985 +2018/07/10 06:00,0.207935531,0,0,0,0.613597734,0.729017447 +2018/07/10 07:00,0.184921818,0.012277251,0,0.201666667,0.614730878,0.718227732 +2018/07/10 08:00,0.169931146,0.158466683,0,0.198333333,0.619830028,0.740817264 +2018/07/10 09:00,0.120492749,0.379126843,0.030143333,0,0.647592068,0.718916437 +2018/07/10 10:00,0.100445725,0.490257701,0.357323333,0,0.666855524,0.713911846 +2018/07/10 11:00,0.100459668,0.576842198,0.57493,0,0.673654391,0.738062443 +2018/07/10 12:00,0.107757626,0.528896547,0.55159,0,0.69631728,0.700964187 +2018/07/10 13:00,0.104052871,0.504120907,0.520753333,0,0.663456091,0.711570248 +2018/07/10 14:00,0.105499192,0.424027432,0.543353333,0,0.650424929,0.722910927 +2018/07/10 15:00,0.089049698,0.370307762,0.792923333,0,0.639093484,0.712855831 +2018/07/10 16:00,0.056310344,0.216025071,0.855473333,0,0.65325779,0.691689624 +2018/07/10 17:00,0.055693445,0.028644205,0.67505,0.073333333,0.64815864,0.704315886 +2018/07/10 18:00,0.071988114,0,0.523836667,0.991666667,0.620963173,0.71271809 +2018/07/10 19:00,0.083089876,0,0.384053333,0.475,0.629461756,0.684251607 +2018/07/10 20:00,0.102817633,0,0.342193333,0.006666667,0.628895184,0.675252525 +2018/07/10 21:00,0.143071316,1.36E-06,0.272533333,0,0.666288952,0.695500459 +2018/07/10 22:00,0.173294034,0,0,0,0.622096317,0.670890725 +2018/07/10 23:00,0.205916067,0,0,0,0.617563739,0.669559229 +2018/07/11 00:00,0.248906605,0,0,0,0.600566572,0.677823691 +2018/07/11 01:00,0.285682002,0,0,0,0.422096317,0.659136823 +2018/07/11 02:00,0.114416567,0,0,0,0.433994334,0.664233242 +2018/07/11 03:00,0.19732421,0,0,0,0.426062323,0.663039486 +2018/07/11 04:00,0.451952148,0,0,0,0.457790368,0.666437098 +2018/07/11 05:00,0.490982613,0,0,0,0.636827195,0.655509642 +2018/07/11 06:00,0.512876005,2.85E-05,0,0,0.647025496,0.642240588 +2018/07/11 07:00,0.574774493,0.027917026,0,0.196666667,0.654390935,0.652938476 +2018/07/11 08:00,0.541576432,0.275733114,0,0.203333333,0.64815864,0.632460973 +2018/07/11 09:00,0.495549486,0.550309662,0.08622,0.001666667,0.669688385,0.611983471 +2018/07/11 10:00,0.584819883,0.663145185,0.397286667,0,0.683286119,0.613682277 +2018/07/11 11:00,0.667185156,0.702399284,0.554236667,0,0.708215297,0.591414141 +2018/07/11 12:00,0.80320085,0.678696776,0.60613,0,0.722946176,0.596326905 +2018/07/11 13:00,0.847542505,0.630214559,0.506046667,0,0.728045326,0.61322314 +2018/07/11 14:00,0.796039447,0.550119048,0.672736667,0,0.728045326,0.602066116 +2018/07/11 15:00,0.72093607,0.400536566,0.778793333,0,0.718413598,0.611983471 +2018/07/11 16:00,0.621680867,0.199427482,0.80192,0,0.698583569,0.617814509 +2018/07/11 17:00,0.519011328,0.024805486,0.676603333,0.005,0.63796034,0.635078053 +2018/07/11 18:00,0.516940416,0,0.48092,0.616666667,0.613597734,0.628420569 +2018/07/11 19:00,0.512997654,0,0.35728,0.625,0.621529745,0.626078972 +2018/07/11 20:00,0.557513367,0,0.33321,0.225,0.633994334,0.623645546 +2018/07/11 21:00,0.634630919,0,0.282133333,0.053333333,0.675354108,0.615059688 +2018/07/11 22:00,0.606805112,0,0,0,0.295750708,0.581680441 +2018/07/11 23:00,0.631427665,0,0,0,0.050991501,0.577915519 +2018/07/12 00:00,0.673665231,0,0,0,0.075354108,0.573966942 +2018/07/12 01:00,0.708031696,0,0,0,0.047025496,0.575987144 +2018/07/12 02:00,0.687210063,0,0,0,0.07592068,0.549081726 +2018/07/12 03:00,0.721865023,0,0,0,0.064022663,0.551285583 +2018/07/12 04:00,0.71270387,0,0,0,0.069121813,0.5684573 +2018/07/12 05:00,0.724727853,0,0,0,0.067988669,0.56882461 +2018/07/12 06:00,0.728544159,1.90E-05,0,0,0.421529745,0.54825528 +2018/07/12 07:00,0.625906835,0.027359431,0,0.2,0.614730878,0.593572084 +2018/07/12 08:00,0.579916913,0.277523928,0.00045,0.2,0.612464589,0.585353535 +2018/07/12 09:00,0.528118629,0.502477293,0.189573333,0,0.652124646,0.575160698 +2018/07/12 10:00,0.482914856,0.620905718,0.401953333,0,0.678753541,0.573002755 +2018/07/12 11:00,0.558222583,0.668173031,0.31428,0,0.699150142,0.550413223 +2018/07/12 12:00,0.683654364,0.676066857,0.309146667,0,0.69121813,0.519559229 +2018/07/12 13:00,0.727373351,0.600843175,0.26602,0,0.717847025,0.570064279 +2018/07/12 14:00,0.66262838,0.484605105,0.273146667,0,0.687818697,0.582506887 +2018/07/12 15:00,0.646819345,0.370513299,0.247713333,0,0.676487252,0.560743802 +2018/07/12 16:00,0.605506405,0.165773747,0.356286667,0,0.676487252,0.555280073 +2018/07/12 17:00,0.54864167,0.021116681,0.442046667,0.015,0.644759207,0.562993572 +2018/07/12 18:00,0.547080913,0,0.30651,0.893333333,0.639093484,0.573553719 +2018/07/12 19:00,0.504298092,0,0.294283333,0.601666667,0.637393768,0.572359963 +2018/07/12 20:00,0.437486056,0,0.287976667,0.038333333,0.64305949,0.57456382 +2018/07/12 21:00,0.440435916,0,0.090916667,0,0.687818697,0.562901745 +2018/07/12 22:00,0.464054025,0,0,0,0.62776204,0.571900826 +2018/07/12 23:00,0.443658884,0,0,0,0.626628895,0.567033976 +2018/07/13 00:00,0.422001096,0,0,0,0.647025496,0.549770432 +2018/07/13 01:00,0.421264473,0,0,0,0.651558074,0.562947658 +2018/07/13 02:00,0.438594357,0,0,0,0.653824363,0.570431589 +2018/07/13 03:00,0.41364244,0,0,0,0.65325779,0.560009183 +2018/07/13 04:00,0.412963515,0,0,0,0.625495751,0.551193756 +2018/07/13 05:00,0.422881486,0,0,0,0.633994334,0.552846648 +2018/07/13 06:00,0.389472343,2.31E-05,0,0,0.639093484,0.551882461 +2018/07/13 07:00,0.374542255,0.021943576,0,0.143333333,0.642492918,0.552892562 +2018/07/13 08:00,0.321486133,0.123254126,0,0.203333333,0.642492918,0.546189164 +2018/07/13 09:00,0.306983017,0.243737917,0,0.06,0.656657224,0.547520661 +2018/07/13 10:00,0.304814979,0.35501801,0,0,0.701983003,0.541735537 +2018/07/13 11:00,0.334034696,0.38628535,0,0,0.710481586,0.534251607 +2018/07/13 12:00,0.361673943,0.417651727,0,0,0.693484419,0.543847567 +2018/07/13 13:00,0.415634015,0.35786364,0,0,0.69121813,0.540082645 +2018/07/13 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04:00,0.393440108,0,0,0,0.698016997,0.529614325 +2018/07/14 05:00,0.413197677,0,0,0,0.664589235,0.525390266 +2018/07/14 06:00,0.397347771,2.98E-05,0,0,0.649291785,0.518549128 +2018/07/14 07:00,0.443648306,0.036817507,0,0.191666667,0.643626062,0.518044077 +2018/07/14 08:00,0.448314229,0.318207965,0,0.201666667,0.647592068,0.522176309 +2018/07/14 09:00,0.322101108,0.598784417,0.009043333,0.005,0.648725212,0.529522498 +2018/07/14 10:00,0.266131669,0.71478846,0.191303333,0,0.659490085,0.528741965 +2018/07/14 11:00,0.260398315,0.77327278,0.308683333,0,0.667422096,0.519651056 +2018/07/14 12:00,0.25983575,0.782601971,0.50128,0,0.669121813,0.51620753 +2018/07/14 13:00,0.274622072,0.779092247,0.603403333,0,0.674787535,0.518686869 +2018/07/14 14:00,0.265070489,0.712705282,0.65567,0,0.674787535,0.525895317 +2018/07/14 15:00,0.275664019,0.586033008,0.834113333,0,0.674220963,0.527272727 +2018/07/14 16:00,0.294755164,0.323062835,0.967476667,0,0.634560907,0.51758494 +2018/07/14 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20:00,0.575844328,0,0.318693333,0.356666667,0.626628895,0.562304867 +2018/07/15 21:00,0.515451783,0,0.232103333,0,0.635127479,0.562809917 +2018/07/15 22:00,0.48324374,0,0,0,0.639660057,0.562350781 +2018/07/15 23:00,0.489539178,0,0,0,0.632294618,0.562442608 +2018/07/16 00:00,0.47484854,0,0,0,0.283286119,0.561891644 +2018/07/16 01:00,0.288734277,0,0,0,0.253824363,0.561662075 +2018/07/16 02:00,0.25855291,0,0,0,0.277053824,0.561799816 +2018/07/16 03:00,0.312377871,0,0,0,0.277620397,0.561432507 +2018/07/16 04:00,0.405578047,0,0,0,0.541643059,0.561983471 +2018/07/16 05:00,0.42195686,0,0,0,0.660623229,0.561616162 +2018/07/16 06:00,0.457697042,3.93E-05,0,0,0.68101983,0.560330579 +2018/07/16 07:00,0.470520637,0.029446679,0,0.148333333,0.669688385,0.561019284 +2018/07/16 08:00,0.457798977,0.210315495,0,0.201666667,0.657223796,0.537786961 +2018/07/16 09:00,0.444624861,0.389597677,0,0.376666667,0.671388102,0.517630854 +2018/07/16 10:00,0.411326307,0.534224218,0,0,0.645325779,0.537373737 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15:00,0.290204158,0.404293883,0.091633333,0,0.650991501,0.546235078 +2018/07/17 16:00,0.267048602,0.212042545,0.06489,0,0.673087819,0.540725436 +2018/07/17 17:00,0.257714832,0.024998813,0.062253333,0.315,0.661756374,0.539944904 +2018/07/17 18:00,0.239223757,0,0.061803333,1.003333333,0.657223796,0.536271809 +2018/07/17 19:00,0.251513155,0,0.195596667,0.391666667,0.684985836,0.545362718 +2018/07/17 20:00,0.271587587,0,0.020986667,0,0.666288952,0.55 +2018/07/17 21:00,0.256150229,0,0,0,0.715014164,0.550091827 +2018/07/17 22:00,0.305120302,0,0,0,0.645325779,0.546786042 +2018/07/17 23:00,0.340645555,0,0,0,0.64305949,0.543067034 +2018/07/18 00:00,0.376368427,0,0,0,0.64815864,0.54164371 +2018/07/18 01:00,0.416900989,0,0,0,0.570538244,0.544306703 +2018/07/18 02:00,0.430641036,0,0,0,0.512747875,0.547337006 +2018/07/18 03:00,0.478898046,0,0,0,0.507082153,0.544444444 +2018/07/18 04:00,0.435396392,0,0,0,0.625495751,0.538521579 +2018/07/18 05:00,0.396450071,0,0,0,0.664589235,0.536042241 +2018/07/18 06:00,0.426764146,2.65E-05,0,0,0.66572238,0.545179063 +2018/07/18 07:00,0.486626822,0.031417931,0,0.185,0.652124646,0.411799816 +2018/07/18 08:00,0.49277032,0.267677843,0,0.201666667,0.653824363,0.356060606 +2018/07/18 09:00,0.531043005,0.536527856,0.08976,0.016666667,0.629461756,0.355325987 +2018/07/18 10:00,0.55546265,0.66141203,0.30606,0,0.632294618,0.354224059 +2018/07/18 11:00,0.564770935,0.721196047,0.489043333,0,0.648725212,0.336271809 +2018/07/18 12:00,0.532919183,0.728191074,0.498946667,0,0.661189802,0.344031221 +2018/07/18 13:00,0.486066662,0.707458333,0.436493333,0,0.684419263,0.34775023 +2018/07/18 14:00,0.429438012,0.644521398,0.556206667,0,0.669688385,0.350642792 +2018/07/18 15:00,0.34972016,0.529247926,0.596783333,0,0.677620397,0.332369146 +2018/07/18 16:00,0.312019656,0.284994472,0.690173333,0,0.654390935,0.342607897 +2018/07/18 17:00,0.315617187,0.032876359,0.569896667,0.178333333,0.633994334,0.345821855 +2018/07/18 18:00,0.334455418,0,0.471306667,0.701666667,0.606232295,0.358677686 +2018/07/18 19:00,0.375289937,0,0.423606667,0.496666667,0.614730878,0.53865932 +2018/07/18 20:00,0.385110782,0,0.399166667,0,0.630028329,0.538062443 +2018/07/18 21:00,0.430593434,0,0.244223333,0,0.669121813,0.538246097 +2018/07/18 22:00,0.456880602,0,0,0,0.637393768,0.538246097 +2018/07/18 23:00,0.472545871,0,0,0,0.543342776,0.535720845 +2018/07/19 00:00,0.505581894,0,0,0,0.167705382,0.537327824 +2018/07/19 01:00,0.552369985,0,0,0,0.077053824,0.537144169 +2018/07/19 02:00,0.573784475,0,0,0,0.191501416,0.531864096 +2018/07/19 03:00,0.578697542,0,0,0,0.269121813,0.51758494 +2018/07/19 04:00,0.580413605,0,0,0,0.337110482,0.527640037 +2018/07/19 05:00,0.620209063,0,0,0,0.48611898,0.531955923 +2018/07/19 06:00,0.621144747,5.16E-05,0,0,0.639093484,0.538200184 +2018/07/19 07:00,0.61545611,0.035816279,0,0.015,0.657223796,0.51533517 +2018/07/19 08:00,0.634866042,0.281243259,2.33E-05,0.198333333,0.661756374,0.520156107 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18:00,0.469307035,0,0.427146667,0.81,0.423796034,0.542975207 +2018/07/22 19:00,0.432851387,0,0.372203333,0.616666667,0.538243626,0.542424242 +2018/07/22 20:00,0.476499692,0,0.34406,0.001666667,0.644192635,0.542607897 +2018/07/22 21:00,0.537572605,0,0.2332,0,0.645892351,0.543342516 +2018/07/22 22:00,0.564114609,0,0,0,0.727478754,0.543572084 +2018/07/22 23:00,0.609447244,0,0,0,0.633994334,0.530578512 +2018/07/23 00:00,0.627829173,0,0,0,0.471388102,0.494398531 +2018/07/23 01:00,0.518366542,0,0,0,0.504815864,0.517493113 +2018/07/23 02:00,0.465360426,0,0,0,0.501983003,0.527502296 +2018/07/23 03:00,0.62734402,0,0,0,0.504815864,0.528099174 +2018/07/23 04:00,0.703076316,0,0,0,0.664022663,0.527548209 +2018/07/23 05:00,0.685248298,0,0,0,0.700283286,0.52681359 +2018/07/23 06:00,0.740779705,1.49E-05,0,0,0.671954674,0.527272727 +2018/07/23 07:00,0.763961707,0.039518651,0,0.141666667,0.662889518,0.524839302 +2018/07/23 08:00,0.761314767,0.305690583,0,0.201666667,0.634560907,0.522727273 +2018/07/23 09:00,0.758212967,0.547940903,0,0.056666667,0.601133144,0.521258035 +2018/07/23 10:00,0.796398623,0.652402336,0,0,0.603966006,0.522130395 +2018/07/23 11:00,0.799699004,0.697487434,0.032263333,0,0.609065156,0.533654729 +2018/07/23 12:00,0.799060469,0.698622294,0.139193333,0,0.613597734,0.600413223 +2018/07/23 13:00,0.791952918,0.65308678,0.182586667,0,0.605665722,0.573645546 +2018/07/23 14:00,0.684069797,0.555210658,0.189683333,0,0.610764873,0.507254362 +2018/07/23 15:00,0.605474189,0.406409622,0.243523333,0,0.610764873,0.497979798 +2018/07/23 16:00,0.518095357,0.204403096,0.302893333,0,0.536543909,0.556060606 +2018/07/23 17:00,0.46537437,0.028981339,0.39481,0.15,0.522379603,0.557897153 +2018/07/23 18:00,0.398120456,0,0.322006667,0.988333333,0.471388102,0.553443526 +2018/07/23 19:00,0.395229738,0,0.294113333,0.608333333,0.439660057,0.550413223 +2018/07/23 20:00,0.427184867,0,0.290693333,0.035,0.468555241,0.549862259 +2018/07/23 21:00,0.465713832,0,0.130566667,0,0.572804533,0.550321396 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12:00,0.491653364,0.778917914,0.502976667,0,0.598866856,0.527318641 +2018/07/24 13:00,0.463769377,0.760621765,0.725083333,0,0.603399433,0.531083563 +2018/07/24 14:00,0.453670135,0.704698173,0.771513333,0,0.605665722,0.534435262 +2018/07/24 15:00,0.388187579,0.587376797,0.40381,0,0.661189802,0.537741047 +2018/07/24 16:00,0.289145382,0.347045496,0.34868,0,0.665155807,0.554040404 +2018/07/24 17:00,0.233589933,0.052549536,0.577096667,0.016666667,0.649291785,0.557346189 +2018/07/24 18:00,0.202197369,0,0.423343333,0.683333333,0.627195467,0.55922865 +2018/07/24 19:00,0.218965169,0,0.356063333,0.666666667,0.610764873,0.559550046 +2018/07/24 20:00,0.253442705,0,0.333343333,0.168333333,0.620963173,0.573415978 +2018/07/24 21:00,0.262654826,0,0.290853333,0,0.687252125,0.564876033 +2018/07/24 22:00,0.273992672,0,0,0,0.649858357,0.564692378 +2018/07/24 23:00,0.312198042,0,0,0,0.667422096,0.565059688 +2018/07/25 00:00,0.294300304,0,0,0,0.721813031,0.569191919 +2018/07/25 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12:00,0.176126572,0.786536335,0.8031,0,0.694617564,0.507300275 +2018/07/28 13:00,0.23961034,0.772034812,0.839476667,0,0.688951841,0.52979798 +2018/07/28 14:00,0.318385294,0.717884398,0.83204,0,0.69631728,0.528787879 +2018/07/28 15:00,0.381907047,0.600158731,0.829046667,0,0.711614731,0.537741047 +2018/07/28 16:00,0.430926165,0.357934866,0.805283333,0,0.697450425,0.538292011 +2018/07/28 17:00,0.452378159,0.056956702,0.633263333,0,0.670254958,0.546923783 +2018/07/28 18:00,0.495335039,6.78E-07,0.4019,0.38,0.624362606,0.525573921 +2018/07/28 19:00,0.463556372,0,0.357923333,0.923333333,0.640226629,0.539072544 +2018/07/28 20:00,0.297279013,0,0.35838,0.248333333,0.678186969,0.559687787 +2018/07/28 21:00,0.240705178,0,0.25536,0,0.694050992,0.550918274 +2018/07/28 22:00,0.229753914,0,0.008326667,0,0.732577904,0.559871442 +2018/07/28 23:00,0.168876216,0,0,0,0.728611898,0.565426997 +2018/07/29 00:00,0.11762463,0,0,0,0.608498584,0.515059688 +2018/07/29 01:00,0.039086241,0,0,0,0.428895184,0.484343434 +2018/07/29 02:00,0.046652498,0,0,0,0.386968839,0.545775941 +2018/07/29 03:00,0.074503789,0,0,0,0.382436261,0.582828283 +2018/07/29 04:00,0.116675963,0,0,0,0.431161473,0.558264463 +2018/07/29 05:00,0.155407836,0,0,0,0.43286119,0.567217631 +2018/07/29 06:00,0.247517502,5.90E-05,0,0,0.606798867,0.615059688 +2018/07/29 07:00,0.290998481,0.043836955,0,0.2,0.741076487,0.609963269 +2018/07/29 08:00,0.341449975,0.307536342,0,0.201666667,0.715014164,0.600688705 +2018/07/29 09:00,0.358650037,0.557405083,0.12557,0.005,0.711614731,0.626446281 +2018/07/29 10:00,0.375073566,0.67686594,0.387893333,0,0.733711048,0.625619835 +2018/07/29 11:00,0.417005808,0.72717221,0.463186667,0,0.77223796,0.561707989 +2018/07/29 12:00,0.527218044,0.742444325,0.472296667,0,0.776770538,0.5684573 +2018/07/29 13:00,0.582071489,0.723626534,0.519076667,0,0.786968839,0.604269972 +2018/07/29 14:00,0.599138843,0.669094893,0.712923333,0,0.804532578,0.617768595 +2018/07/29 15:00,0.570086452,0.561368616,0.68102,0,0.76713881,0.60312213 +2018/07/29 16:00,0.491992345,0.338703966,0.650673333,0,0.744475921,0.591781451 +2018/07/29 17:00,0.410899815,0.050222834,0.550556667,0,0.72917847,0.591689624 +2018/07/29 18:00,0.369179136,2.71E-06,0.383963333,0.33,0.673087819,0.615289256 +2018/07/29 19:00,0.357699446,0,0.352713333,0.701666667,0.661756374,0.59912764 +2018/07/29 20:00,0.311717217,0,0.34063,0.505,0.667988669,0.576078972 +2018/07/29 21:00,0.281899354,0,0.21902,0.005,0.662322946,0.600183655 +2018/07/29 22:00,0.249794688,0,0,0,0.700849858,0.607392103 +2018/07/29 23:00,0.194107493,0,0,0,0.695184136,0.579522498 +2018/07/30 00:00,0.172437685,0,0,0,0.730878187,0.585491276 +2018/07/30 01:00,0.184214525,0,0,0,0.649858357,0.604637282 +2018/07/30 02:00,0.181339674,0,0,0,0.440793201,0.585583104 +2018/07/30 03:00,0.164170385,0,0,0,0.464022663,0.567401286 +2018/07/30 04:00,0.146648171,0,0,0,0.643626062,0.576354454 +2018/07/30 05:00,0.137445186,0,0,0,0.728045326,0.590955005 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18:00,0.136011367,2.71E-06,0.398523333,0.841666667,0.662889518,0.569834711 +2018/07/30 19:00,0.123395969,0,0.35274,0.616666667,0.633994334,0.564784206 +2018/07/30 20:00,0.12045236,0,0.333046667,0.031666667,0.694050992,0.560009183 +2018/07/30 21:00,0.161852329,0,0.229713333,0,0.791501416,0.558264463 +2018/07/30 22:00,0.158652441,0,0,0,0.778470255,0.556795225 +2018/07/30 23:00,0.170468708,0,0,0,0.791501416,0.548714417 +2018/07/31 00:00,0.183767358,0,0,0,0.818696884,0.549035813 +2018/07/31 01:00,0.209974709,0,0,0,0.796600567,0.556336088 +2018/07/31 02:00,0.197787726,0,0,0,0.780736544,0.548714417 +2018/07/31 03:00,0.214787283,0,0,0,0.787535411,0.554086318 +2018/07/31 04:00,0.23833952,0,0,0,0.772804533,0.55087236 +2018/07/31 05:00,0.270445148,0,0,0,0.752974504,0.548071625 +2018/07/31 06:00,0.347630496,3.80E-05,0,0,0.717847025,0.548071625 +2018/07/31 07:00,0.428376351,0.044531573,0,0.023333333,0.717847025,0.546923783 +2018/07/31 08:00,0.422886295,0.318571555,0,0.201666667,0.695750708,0.53292011 +2018/07/31 09:00,0.398098819,0.559278655,0.037056667,0.165,0.68611898,0.533700643 +2018/07/31 10:00,0.390265704,0.673629586,0.322883333,0,0.69121813,0.534481175 +2018/07/31 11:00,0.464182886,0.717561508,0.41607,0,0.717847025,0.551974288 +2018/07/31 12:00,0.45917702,0.731907013,0.453223333,0,0.743342776,0.522084481 +2018/07/31 13:00,0.418460303,0.706619907,0.42714,0,0.732577904,0.530119376 +2018/07/31 14:00,0.393124207,0.645425624,0.422273333,0,0.737110482,0.538475666 +2018/07/31 15:00,0.375752491,0.528295539,0.55919,0,0.754674221,0.523645546 +2018/07/31 16:00,0.36785783,0.30657785,0.678963333,0,0.74674221,0.515564738 +2018/07/31 17:00,0.47638766,0.045848229,0.475233333,0.001666667,0.705949008,0.438108356 +2018/07/31 18:00,0.52060382,6.78E-06,0.362836667,0.603333333,0.631161473,0.427456382 +2018/07/31 19:00,0.524739874,0,0.35633,0.721666667,0.611898017,0.400734619 +2018/07/31 20:00,0.525523137,0,0.335746667,0.226666667,0.623796034,0.413911846 +2018/07/31 21:00,0.532821095,0,0.22825,0,0.721246459,0.44338843 +2018/07/31 22:00,0.554415413,0,0,0,0.781303116,0.512488522 +2018/07/31 23:00,0.530816056,0,0,0,0.817563739,0.517447199 +2018/08/01 00:00,0.444830173,0,0,0,0.820396601,0.518778696 +2018/08/01 01:00,0.407168616,0,0,0,0.802832861,0.518595041 +2018/08/01 02:00,0.347074182,0,0,0,0.786402266,0.518732782 +2018/08/01 03:00,0.310355522,0,0,0,0.779036827,0.496418733 +2018/08/01 04:00,0.308667827,0,0,0,0.758640227,0.455555556 +2018/08/01 05:00,0.292004366,0,0,0,0.747875354,0.443985308 +2018/08/01 06:00,0.287520195,0.000135668,0,0,0.721813031,0.407024793 +2018/08/01 07:00,0.28837462,0.056298035,0,0.16,0.637393768,0.442240588 +2018/08/01 08:00,0.25623822,0.345291991,0,0.203333333,0.617563739,0.510192837 +2018/08/01 09:00,0.236395065,0.572929541,0.115146667,0.201666667,0.683852691,0.506014692 +2018/08/01 10:00,0.28361734,0.679383255,0.45059,0.201666667,0.722946176,0.505968779 +2018/08/01 11:00,0.302223333,0.733938637,0.570193333,0.038333333,0.733711048,0.504637282 +2018/08/01 12:00,0.322676655,0.759793514,0.825926667,0,0.745042493,0.462580349 +2018/08/01 13:00,0.323774859,0.739667207,0.837293333,0,0.759773371,0.490495868 +2018/08/01 14:00,0.312302381,0.69487583,0.83603,0,0.764305949,0.506749311 +2018/08/01 15:00,0.322283821,0.602410137,0.831633333,0,0.754107649,0.48415978 +2018/08/01 16:00,0.317017829,0.381625842,0.81936,0,0.727478754,0.482552801 +2018/08/01 17:00,0.272525676,0.067693445,0.68034,0.043333333,0.684985836,0.497428834 +2018/08/01 18:00,0.287204774,8.14E-06,0.44384,0.773333333,0.605665722,0.497428834 +2018/08/01 19:00,0.339940666,0,0.40296,0.808333333,0.601699717,0.480486685 +2018/08/01 20:00,0.308377409,0,0.37061,0.07,0.631161473,0.480716253 +2018/08/01 21:00,0.282657614,0,0.278556667,0,0.754107649,0.506152433 +2018/08/01 22:00,0.239291553,0,0.000756667,0,0.798866856,0.404775023 +2018/08/01 23:00,0.223558488,0,0,0,0.764305949,0.375849403 +2018/08/02 00:00,0.207312382,0,0,0,0.78470255,0.389990817 +2018/08/02 01:00,0.190827307,0,0,0,0.798866856,0.404820937 +2018/08/02 02:00,0.210866158,0,0,0,0.813597734,0.378099174 +2018/08/02 03:00,0.234523695,0,0,0,0.826062323,0.375528007 +2018/08/02 04:00,0.211618648,0,0,0,0.800566572,0.404269972 +2018/08/02 05:00,0.202361811,0,0,0,0.743909348,0.395087236 +2018/08/02 06:00,0.23583827,0.000141773,0,0,0.745042493,0.370064279 +2018/08/02 07:00,0.220211948,0.057422042,0,0.133333333,0.735410765,0.397658402 +2018/08/02 08:00,0.19611734,0.366222807,0.000513333,0.201666667,0.730878187,0.49251607 +2018/08/02 09:00,0.152062257,0.615605858,0.229493333,0.201666667,0.752407932,0.467906336 +2018/08/02 10:00,0.140076259,0.728783264,0.496503333,0.201666667,0.773371105,0.466253444 +2018/08/02 11:00,0.103342213,0.784092281,0.641876667,0.065,0.779036827,0.475252525 +2018/08/02 12:00,0.080190503,0.797746559,0.834613333,0,0.79490085,0.481680441 +2018/08/02 13:00,0.060218968,0.776481322,0.837206667,0,0.795467422,0.464279155 +2018/08/02 14:00,0.065618148,0.722338369,0.83815,0,0.794334278,0.448576676 +2018/08/02 15:00,0.080889141,0.598804089,0.83886,0,0.790934844,0.485858586 +2018/08/02 16:00,0.108503866,0.356281755,0.819846667,0,0.802832861,0.494719927 +2018/08/02 17:00,0.124287418,0.062070696,0.675923333,0.038333333,0.724645892,0.459963269 +2018/08/02 18:00,0.181103108,1.02E-05,0.452783333,0.481666667,0.604532578,0.485353535 +2018/08/02 19:00,0.237971208,0,0.407736667,0.501666667,0.655524079,0.505142332 +2018/08/02 20:00,0.220291764,0,0.36414,0.486666667,0.667988669,0.470798898 +2018/08/02 21:00,0.23565748,0,0.330393333,0.195,0.78470255,0.462809917 +2018/08/02 22:00,0.270560065,0,0.003823333,0,0.78470255,0.497474747 +2018/08/02 23:00,0.293785341,0,0,0,0.780169972,0.502341598 +2018/08/03 00:00,0.326086183,0,0,0,0.818696884,0.477226814 +2018/08/03 01:00,0.314114609,0,0,0,0.830028329,0.486134068 +2018/08/03 02:00,0.312451918,0,0,0,0.81529745,0.489853076 +2018/08/03 03:00,0.357496538,0,0,0,0.809631728,0.502525253 +2018/08/03 04:00,0.383946225,0,0,0,0.822096317,0.498576676 +2018/08/03 05:00,0.386643651,0,0,0,0.796033994,0.486639118 +2018/08/03 06:00,0.402969093,5.49E-05,0,0,0.762606232,0.484481175 +2018/08/03 07:00,0.407965823,0.036015032,0,0.255,0.770538244,0.497704316 +2018/08/03 08:00,0.378366254,0.246523854,0,0.383333333,0.725779037,0.450596878 +2018/08/03 09:00,0.340321479,0.444456956,0.1345,0.18,0.747875354,0.367447199 +2018/08/03 10:00,0.330019329,0.609736872,0.386493333,0,0.776203966,0.371625344 +2018/08/03 11:00,0.337842828,0.718954816,0.531016667,0,0.744475921,0.371900826 +2018/08/03 12:00,0.321783764,0.713181476,0.81725,0,0.749575071,0.371120294 +2018/08/03 13:00,0.307037831,0.700781446,0.83376,0,0.764305949,0.371349862 +2018/08/03 14:00,0.334490518,0.650354432,0.836776667,0,0.77733711,0.370982553 +2018/08/03 15:00,0.376078009,0.51310618,0.779113333,0,0.754107649,0.370890725 +2018/08/03 16:00,0.406395449,0.269885157,0.767083333,0,0.743342776,0.369742883 +2018/08/03 17:00,0.459276551,0.046944424,0.649426667,0.071666667,0.710481586,0.4543618 +2018/08/03 18:00,0.564291553,5.43E-06,0.422886667,0.85,0.654957507,0.528145087 +2018/08/03 19:00,0.561342174,0,0.359713333,0.681666667,0.660056657,0.520661157 +2018/08/03 20:00,0.580571316,0,0.333123333,0.063333333,0.696883853,0.495408632 +2018/08/03 21:00,0.535125688,0,0.25825,0,0.704815864,0.496923783 +2018/08/03 22:00,0.529738047,0,0,0,0.635127479,0.496740129 +2018/08/03 23:00,0.506265627,0,0,0,0.645325779,0.496923783 +2018/08/04 00:00,0.411366696,0,0,0,0.585269122,0.498071625 +2018/08/04 01:00,0.339246836,0,0,0,0.585269122,0.505004591 +2018/08/04 02:00,0.301243894,0,0,0,0.604532578,0.510284665 +2018/08/04 03:00,0.327319979,0,0,0,0.614164306,0.485858586 +2018/08/04 04:00,0.279082202,0,0,0,0.588668555,0.450642792 +2018/08/04 05:00,0.255472266,0,0,0,0.716147309,0.462029385 +2018/08/04 06:00,0.315380621,0.000128206,0,0,0.733711048,0.456336088 +2018/08/04 07:00,0.401281879,0.026079406,0,0.363333333,0.727478754,0.483884298 +2018/08/04 08:00,0.346589991,0.174041338,0,0.223333333,0.717280453,0.48902663 +2018/08/04 09:00,0.298728699,0.374619961,0.11532,0.193333333,0.720113314,0.519237833 +2018/08/04 10:00,0.355606416,0.572407899,0.36388,0,0.715014164,0.492424242 +2018/08/04 11:00,0.383358176,0.651047694,0.409223333,0,0.731444759,0.492653811 +2018/08/04 12:00,0.412367292,0.651101961,0.369066667,0,0.725779037,0.506198347 +2018/08/04 13:00,0.392062065,0.641536708,0.242193333,0,0.751274788,0.500596878 +2018/08/04 14:00,0.412805805,0.570165311,0.327363333,0,0.764872521,0.494811754 +2018/08/04 15:00,0.521448629,0.464224422,0.530316667,0,0.733711048,0.490266299 +2018/08/04 16:00,0.535990691,0.290942144,0.806763333,0,0.739376771,0.493342516 +2018/08/04 17:00,0.455488133,0.053563652,0.51718,0.29,0.726912181,0.505280073 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09:00,0.093054006,0.545734946,0.217543333,0.201666667,0.735977337,0.488888889 +2018/08/05 10:00,0.138615994,0.631314145,0.541546667,0.015,0.751274788,0.506657484 +2018/08/05 11:00,0.179056237,0.698863104,0.65452,0,0.754107649,0.487741047 +2018/08/05 12:00,0.199699965,0.658393423,0.77449,0,0.760906516,0.48902663 +2018/08/05 13:00,0.261608551,0.641835856,0.53093,0,0.760906516,0.503673095 +2018/08/05 14:00,0.263719371,0.638789437,0.382453333,0,0.8,0.495362718 +2018/08/05 15:00,0.292549621,0.478316228,0.419636667,0,0.780736544,0.495270891 +2018/08/05 16:00,0.30953812,0.33000156,0.61123,0,0.748441926,0.495316804 +2018/08/05 17:00,0.195281186,0.069151873,0.634913333,0.14,0.709348442,0.500505051 +2018/08/05 18:00,0.130554968,3.32E-05,0.44362,0.83,0.647025496,0.505555556 +2018/08/05 19:00,0.095476882,0,0.391366667,0.688333333,0.640793201,0.505371901 +2018/08/05 20:00,0.085771435,0,0.352616667,0.028333333,0.672521246,0.504729109 +2018/08/05 21:00,0.105461207,0,0.319756667,0,0.71388102,0.503902663 +2018/08/05 22:00,0.067089472,0,0.01391,0,0.807932011,0.503535354 +2018/08/05 23:00,0.080414086,0,0,0,0.810764873,0.502938476 +2018/08/06 00:00,0.111501327,0,0,0,0.801133144,0.503076217 +2018/08/06 01:00,0.134519848,0,0,0,0.67592068,0.502938476 +2018/08/06 02:00,0.167793399,0,0,0,0.532577904,0.499357208 +2018/08/06 03:00,0.180423703,0,0,0,0.69121813,0.498163453 +2018/08/06 04:00,0.190113282,0,0,0,0.773371105,0.497842057 +2018/08/06 05:00,0.234527061,0,0,0,0.786402266,0.49040404 +2018/08/06 06:00,0.283324037,7.67E-05,0,0.138333333,0.732577904,0.468870523 +2018/08/06 07:00,0.301872812,0.072361772,0,0.33,0.690651558,0.477915519 +2018/08/06 08:00,0.339110763,0.401806416,0.00002,0.245,0.677053824,0.469421488 +2018/08/06 09:00,0.273581086,0.643771156,0.252873333,0.201666667,0.68611898,0.492194674 +2018/08/06 10:00,0.340163288,0.755950047,0.490303333,0.026666667,0.652691218,0.500550964 +2018/08/06 11:00,0.511324384,0.809326478,0.50948,0,0.660623229,0.499311295 +2018/08/06 12:00,0.618403085,0.80965208,0.748393333,0,0.67082153,0.503535354 +2018/08/06 13:00,0.621084164,0.789317524,0.81315,0,0.727478754,0.476170799 +2018/08/06 14:00,0.627872928,0.73699184,0.837336667,0,0.774504249,0.487465565 +2018/08/06 15:00,0.590138766,0.623849029,0.83586,0,0.763172805,0.48902663 +2018/08/06 16:00,0.532100339,0.390267876,0.81183,0,0.742776204,0.496786042 +2018/08/06 17:00,0.456227642,0.076232372,0.674293333,0.023333333,0.661756374,0.493526171 +2018/08/06 18:00,0.403619648,2.92E-05,0.442303333,0.945,0.608498584,0.495592287 +2018/08/06 19:00,0.426226103,0,0.390296667,0.708333333,0.605665722,0.503030303 +2018/08/06 20:00,0.453156133,0,0.366516667,0.016666667,0.669688385,0.48204775 +2018/08/06 21:00,0.473994596,0,0.24718,0,0.765439093,0.479889807 +2018/08/06 22:00,0.559604474,0,0,0,0.801699717,0.504178145 +2018/08/06 23:00,0.601166481,0,0,0,0.776770538,0.494306703 +2018/08/07 00:00,0.648094011,0,0,0,0.683852691,0.469375574 +2018/08/07 01:00,0.606860888,0,0,0,0.499150142,0.480991736 +2018/08/07 02:00,0.646436608,0,0,0,0.473087819,0.5043618 +2018/08/07 03:00,0.714672847,0,0,0,0.519546742,0.479155188 +2018/08/07 04:00,0.718840635,0,0,0,0.733144476,0.464738292 +2018/08/07 05:00,0.701004924,0,0,0,0.758640227,0.497566575 +2018/08/07 06:00,0.713727065,0.000105142,0,0,0.75184136,0.494857668 +2018/08/07 07:00,0.672803593,0.053025051,0,0.193333333,0.747875354,0.448117539 +2018/08/07 08:00,0.629031715,0.293371953,0,0.201666667,0.677053824,0.452938476 +2018/08/07 09:00,0.626621341,0.514049071,0,0.203333333,0.689518414,0.478466483 +2018/08/07 10:00,0.609662653,0.653629451,0,0.201666667,0.69121813,0.442607897 +2018/08/07 11:00,0.621640959,0.693235607,0.161693333,0.006666667,0.697450425,0.450550964 +2018/08/07 12:00,0.656359868,0.775342391,0.105686667,0,0.734844193,0.465105601 +2018/08/07 13:00,0.652784937,0.784164863,0.22962,0,0.74674221,0.452020202 +2018/08/07 14:00,0.609562161,0.746773482,0.538726667,0,0.744475921,0.469146006 +2018/08/07 15:00,0.575015867,0.608338138,0.720726667,0,0.715580737,0.484756657 +2018/08/07 16:00,0.521429396,0.395411039,0.695243333,0,0.707648725,0.479752066 +2018/08/07 17:00,0.490496019,0.082142058,0.679836667,0.07,0.644759207,0.460789715 +2018/08/07 18:00,0.441513925,4.14E-05,0.457833333,0.851666667,0.607932011,0.468273646 +2018/08/07 19:00,0.401987249,0,0.397496667,0.698333333,0.606232295,0.487235996 +2018/08/07 20:00,0.403198446,0,0.35905,0.075,0.648725212,0.465289256 +2018/08/07 21:00,0.382005616,0,0.313386667,0,0.766572238,0.449219467 +2018/08/07 22:00,0.378126322,0,0.002326667,0,0.763172805,0.478741965 +2018/08/07 23:00,0.366813478,0,0,0,0.764872521,0.473829201 +2018/08/08 00:00,0.337437012,0,0,0,0.787535411,0.42855831 +2018/08/08 01:00,0.296676059,0,0,0,0.759773371,0.439072544 +2018/08/08 02:00,0.284121245,0,0,0,0.765439093,0.464508724 +2018/08/08 03:00,0.275857791,0,0,0,0.763739377,0.444444444 +2018/08/08 04:00,0.273339712,0,0,0,0.766005666,0.425528007 +2018/08/08 05:00,0.291634131,0,0,0,0.728611898,0.453719008 +2018/08/08 06:00,0.324404739,9.77E-05,0,0,0.751274788,0.464692378 +2018/08/08 07:00,0.359591972,0.074317422,0,0.19,0.727478754,0.456382002 +2018/08/08 08:00,0.31126428,0.377416073,0,0.201666667,0.68101983,0.455601469 +2018/08/08 09:00,0.292877544,0.5955657,0.098396667,0.203333333,0.710481586,0.483241506 +2018/08/08 10:00,0.304374062,0.710303285,0.624963333,0.201666667,0.693484419,0.482690542 +2018/08/08 11:00,0.314938262,0.732480209,0.692916667,0.028333333,0.707648725,0.459733701 +2018/08/08 12:00,0.297075143,0.768991785,0.414286667,0,0.62266289,0.474380165 +2018/08/08 13:00,0.279464938,0.734404656,0.53459,0,0.721246459,0.484756657 +2018/08/08 14:00,0.252677713,0.650300843,0.459053333,0,0.74674221,0.485261708 +2018/08/08 15:00,0.240831634,0.509441795,0.591303333,0,0.730878187,0.471120294 +2018/08/08 16:00,0.255194349,0.276555261,0.590506667,0,0.691784703,0.46533517 +2018/08/08 17:00,0.248618591,0.044742537,0.583096667,0.061666667,0.632294618,0.467539027 +2018/08/08 18:00,0.267314498,6.04E-05,0.454223333,0.95,0.588101983,0.474793388 +2018/08/08 19:00,0.31116475,0,0.412576667,0.658333333,0.607365439,0.452708907 +2018/08/08 20:00,0.353601377,0,0.386216667,0.003333333,0.643626062,0.364692378 +2018/08/08 21:00,0.369367619,0,0.15642,0,0.74674221,0.424793388 +2018/08/08 22:00,0.376708851,0,0.09948,0,0.72917847,0.407346189 +2018/08/08 23:00,0.382839847,0,0.10059,0,0.731444759,0.375206612 +2018/08/09 00:00,0.368791591,0,0.102196667,0,0.730878187,0.46097337 +2018/08/09 01:00,0.365628726,0,0.10194,0,0.757507082,0.469651056 +2018/08/09 02:00,0.398900835,0,0.09197,0,0.737677054,0.494031221 +2018/08/09 03:00,0.390034427,0,0.000146667,0,0.741076487,0.471028466 +2018/08/09 04:00,0.389495423,0,0,0,0.711614731,0.444031221 +2018/08/09 05:00,0.400224064,0,0,0,0.669688385,0.450826446 +2018/08/09 06:00,0.392708774,0,0,0,0.728611898,0.458126722 +2018/08/09 07:00,0.380429953,0.022048718,0,0.38,0.73427762,0.421763085 +2018/08/09 08:00,0.328993249,0.136263304,0,0.235,0.705382436,0.45486685 +2018/08/09 09:00,0.260168481,0.256821034,0.17684,0.185,0.72407932,0.492561983 +2018/08/09 10:00,0.237766858,0.352883278,0.573106667,0,0.738810198,0.453397612 +2018/08/09 11:00,0.216699042,0.424687455,0.596463333,0,0.762606232,0.463131313 +2018/08/09 12:00,0.189116533,0.444463061,0.658176667,0,0.792067989,0.485215794 +2018/08/09 13:00,0.172243913,0.470817195,0.881583333,0,0.813597734,0.452800735 +2018/08/09 14:00,0.205807882,0.452958574,0.93752,0,0.8101983,0.457897153 +2018/08/09 15:00,0.278997096,0.360501699,0.965,0,0.769405099,0.475619835 +2018/08/09 16:00,0.335262242,0.225456013,0.988773333,0,0.748441926,0.474517906 +2018/08/09 17:00,0.425264934,0.044220894,0.816986667,0.04,0.695184136,0.433700643 +2018/08/09 18:00,0.502700792,7.12E-05,0.578963333,0.926666667,0.638526912,0.406152433 +2018/08/09 19:00,0.522266031,0,0.514583333,0.725,0.634560907,0.421120294 +2018/08/09 20:00,0.51094309,0,0.351556667,0.006666667,0.707648725,0.284848485 +2018/08/09 21:00,0.484092876,0,0.2405,0,0.766572238,0.307667585 +2018/08/09 22:00,0.460668539,0,0,0,0.777903683,0.415197429 +2018/08/09 23:00,0.402039658,0,0,0,0.803399433,0.419467401 +2018/08/10 00:00,0.35697292,0,0,0,0.784135977,0.393617998 +2018/08/10 01:00,0.321026465,0,0,0,0.659490085,0.390128558 +2018/08/10 02:00,0.288241913,0,0,0,0.566005666,0.40661157 +2018/08/10 03:00,0.292278917,0,0,0,0.619263456,0.410284665 +2018/08/10 04:00,0.302276705,0,0,0,0.773371105,0.408218549 +2018/08/10 05:00,0.291177347,0,0,0,0.756373938,0.40785124 +2018/08/10 06:00,0.402691176,4.95E-05,0,0,0.747308782,0.40661157 +2018/08/10 07:00,0.431813286,0.061412708,0,0.141666667,0.768838527,0.403673095 +2018/08/10 08:00,0.37328009,0.399516345,0.02963,0.201666667,0.727478754,0.404453627 +2018/08/10 09:00,0.36454639,0.576470469,0.513686667,0.278333333,0.738243626,0.357208448 +2018/08/10 10:00,0.35682146,0.695249595,0.920353333,0.201666667,0.741643059,0.235399449 +2018/08/10 11:00,0.379852964,0.787874019,0.957306667,0,0.758640227,0.296831956 +2018/08/10 12:00,0.422761761,0.762488553,0.952716667,0,0.779603399,0.41496786 +2018/08/10 13:00,0.373395969,0.718405362,0.948816667,0,0.8101983,0.413452709 +2018/08/10 14:00,0.326567489,0.63078165,0.959183333,0,0.802832861,0.401101928 +2018/08/10 15:00,0.324081625,0.519473745,0.96301,0,0.804532578,0.387006428 +2018/08/10 16:00,0.304881813,0.351028701,0.98102,0,0.776203966,0.41184573 +2018/08/10 17:00,0.318867081,0.086037756,0.823963333,0.013333333,0.722946176,0.406336088 +2018/08/10 18:00,0.32048169,0.000143129,0.588743333,0.885,0.674220963,0.387878788 +2018/08/10 19:00,0.323238739,0,0.551776667,0.761666667,0.688385269,0.408034894 +2018/08/10 20:00,0.301741547,0,0.512416667,0.011666667,0.707082153,0.477410468 +2018/08/10 21:00,0.284951148,0,0.370463333,0,0.748441926,0.463682277 +2018/08/10 22:00,0.274759107,0,0.11001,0,0.785835694,0.443572084 +2018/08/10 23:00,0.225967419,0,0,0,0.810764873,0.464370983 +2018/08/11 00:00,0.191795688,0,0,0,0.698583569,0.474012856 +2018/08/11 01:00,0.146375543,0,0,0,0.4101983,0.445500459 +2018/08/11 02:00,0.120077797,0,0,0,0.559773371,0.455142332 +2018/08/11 03:00,0.098697446,0,0,0,0.788101983,0.477364555 +2018/08/11 04:00,0.11210909,0,0,0,0.797733711,0.454958678 +2018/08/11 05:00,0.152606551,0,0,0,0.781303116,0.436547291 +2018/08/11 06:00,0.222578567,0.000352058,0,0,0.755807365,0.450642792 +2018/08/11 07:00,0.322800227,0.089419953,0,0.123333333,0.733711048,0.452020202 +2018/08/11 08:00,0.3937964,0.43531363,0.054513333,0.201666667,0.698583569,0.465105601 +2018/08/11 09:00,0.39022868,0.66446998,0.449393333,0.203333333,0.692917847,0.467309458 +2018/08/11 10:00,0.431131477,0.779515531,0.552543333,0.201666667,0.689518414,0.468411387 +2018/08/11 11:00,0.454536581,0.826870349,0.544733333,0.066666667,0.700849858,0.47107438 +2018/08/11 12:00,0.478816306,0.83806565,0.800553333,0,0.717847025,0.476354454 +2018/08/11 13:00,0.53696388,0.808943895,0.823593333,0,0.742209632,0.456382002 +2018/08/11 14:00,0.555669404,0.75607554,0.867903333,0,0.756373938,0.469375574 +2018/08/11 15:00,0.555664115,0.653503958,0.817593333,0,0.741643059,0.479247016 +2018/08/11 16:00,0.527998423,0.432244826,0.806736667,0,0.749008499,0.477364555 +2018/08/11 17:00,0.467278917,0.097874765,0.810226667,0.046666667,0.733144476,0.478971534 +2018/08/11 18:00,0.441231681,8.55E-05,0.612336667,0.931666667,0.671388102,0.474517906 +2018/08/11 19:00,0.460880582,0,0.55127,0.71,0.675354108,0.473278237 +2018/08/11 20:00,0.458050929,0,0.478346667,0.011666667,0.707648725,0.486088154 +2018/08/11 21:00,0.5313315,0,0.33356,0,0.722946176,0.491551882 +2018/08/11 22:00,0.609949225,0,0.016016667,0,0.786968839,0.470936639 +2018/08/11 23:00,0.675364465,0,0,0,0.788101983,0.481359045 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14:00,0.422594434,0.750149574,1.002473333,0,0.780736544,0.5587236 +2018/08/12 15:00,0.407701369,0.631069943,1.001183333,0,0.79490085,0.551056015 +2018/08/12 16:00,0.377599819,0.399730021,0.991573333,0,0.76203966,0.544995409 +2018/08/12 17:00,0.365727776,0.087609467,0.852973333,0.405,0.726345609,0.564692378 +2018/08/12 18:00,0.270728353,0.000128206,0.592576667,0.925,0.662889518,0.581450872 +2018/08/12 19:00,0.266115802,0,0.508826667,0.733333333,0.663456091,0.578512397 +2018/08/12 20:00,0.3023671,0,0.48116,0.015,0.688385269,0.572956841 +2018/08/12 21:00,0.331067527,0,0.46226,0,0.731444759,0.579752066 +2018/08/12 22:00,0.386924934,0,0.15024,0,0.778470255,0.603673095 +2018/08/12 23:00,0.397517021,0,0.050246667,0,0.803399433,0.583976125 +2018/08/13 00:00,0.363810247,0,0,0,0.805665722,0.571258035 +2018/08/13 01:00,0.31148546,0,0,0,0.678186969,0.598163453 +2018/08/13 02:00,0.237632708,0,0,0,0.664589235,0.606060606 +2018/08/13 03:00,0.209138074,0,0,0,0.661189802,0.570798898 +2018/08/13 04:00,0.152529138,0,0,0,0.79490085,0.590174472 +2018/08/13 05:00,0.124313382,0,0,0,0.754674221,0.61533517 +2018/08/13 06:00,0.100166846,0.000382583,0,0,0.764305949,0.589439853 +2018/08/13 07:00,0.081712313,0.071458903,0,0.348333333,0.759206799,0.581083563 +2018/08/13 08:00,0.059976151,0.335023301,0.003783333,0.231666667,0.726345609,0.603259871 +2018/08/13 09:00,0.073838327,0.521663422,0.534356667,0.201666667,0.720113314,0.606703398 +2018/08/13 10:00,0.086354195,0.640992681,0.951106667,0.013333333,0.712747875,0.578971534 +2018/08/13 11:00,0.094712371,0.698678596,0.93851,0,0.727478754,0.592240588 +2018/08/13 12:00,0.12058651,0.699912494,0.990523333,0,0.75184136,0.592561983 +2018/08/13 13:00,0.188563584,0.648716923,0.962946667,0,0.773937677,0.596235078 +2018/08/13 14:00,0.237698581,0.574185824,0.851883333,0,0.789235127,0.595684114 +2018/08/13 15:00,0.269951341,0.482725429,0.705063333,0,0.788668555,0.594628099 +2018/08/13 16:00,0.268482421,0.260165922,0.483706667,0,0.752974504,0.582874197 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07:00,0.116649517,0.045323873,0,0.368333333,0.75694051,0.559733701 +2018/08/14 08:00,0.090956649,0.273114049,0.06748,0.216666667,0.738243626,0.569054178 +2018/08/14 09:00,0.087590395,0.492864556,0.432533333,0.203333333,0.749575071,0.593250689 +2018/08/14 10:00,0.100556795,0.648141013,0.760003333,0.006666667,0.738810198,0.553397612 +2018/08/14 11:00,0.104150479,0.725023911,0.826056667,0,0.796600567,0.572268136 +2018/08/14 12:00,0.144048833,0.769747455,0.84182,0,0.773371105,0.59302112 +2018/08/14 13:00,0.182145055,0.759074475,0.943466667,0,0.795467422,0.565702479 +2018/08/14 14:00,0.223925357,0.694763226,0.995486667,0,0.792634561,0.576997245 +2018/08/14 15:00,0.232744644,0.58077317,0.970143333,0,0.768271955,0.611157025 +2018/08/14 16:00,0.196973689,0.362782952,0.970353333,0,0.739943343,0.582828283 +2018/08/14 17:00,0.186016175,0.079698682,0.83864,0.066666667,0.690651558,0.56969697 +2018/08/14 18:00,0.217369793,0.000214355,0.590673333,0.695,0.652124646,0.608264463 +2018/08/14 19:00,0.27037062,0,0.550163333,0.816666667,0.63796034,0.596189164 +2018/08/14 20:00,0.291651441,0,0.50902,0.12,0.687818697,0.57318641 +2018/08/14 21:00,0.252987845,0,0.376983333,0,0.771104816,0.583149679 +2018/08/14 22:00,0.208940455,0,0.148083333,0,0.77223796,0.608402204 +2018/08/14 23:00,0.187061969,0,0.079583333,0,0.80509915,0.585307622 +2018/08/15 00:00,0.170637958,0,0,0,0.535977337,0.579660239 +2018/08/15 01:00,0.156413721,0,0,0,0.392067989,0.562855831 +2018/08/15 02:00,0.138825634,0,0,0,0.411898017,0.542194674 +2018/08/15 03:00,0.122696369,0,0,0,0.407365439,0.52194674 +2018/08/15 04:00,0.10851204,0,0,0,0.689518414,0.555004591 +2018/08/15 05:00,0.09899123,0,0,0,0.735410765,0.556749311 +2018/08/15 06:00,0.089962303,0.000389366,0,0,0.752974504,0.549954086 +2018/08/15 07:00,0.09481671,0.078445791,0,0.128333333,0.708215297,0.590128558 +2018/08/15 08:00,0.091609128,0.36725049,0.011096667,0.201666667,0.679886686,0.621900826 +2018/08/15 09:00,0.091378813,0.562350172,0.619723333,0.201666667,0.69631728,0.619742883 +2018/08/15 10:00,0.086427761,0.684947666,0.96618,0.203333333,0.682719547,0.601239669 +2018/08/15 11:00,0.144970574,0.76568692,0.962236667,0.063333333,0.692917847,0.602295684 +2018/08/15 12:00,0.193025638,0.786536335,0.954706667,0,0.684419263,0.618181818 +2018/08/15 13:00,0.242995826,0.766414777,0.967363333,0,0.712181303,0.619191919 +2018/08/15 14:00,0.289893065,0.715729316,0.98053,0,0.727478754,0.612488522 +2018/08/15 15:00,0.265501308,0.593287839,0.99875,0,0.705382436,0.596235078 +2018/08/15 16:00,0.205035677,0.378685244,0.991706667,0,0.677620397,0.609687787 +2018/08/15 17:00,0.154785168,0.092397181,0.853916667,0.055,0.663456091,0.615702479 +2018/08/15 18:00,0.139726218,0.000225887,0.598103333,0.811666667,0.610764873,0.599954086 +2018/08/15 19:00,0.15057122,0,0.53849,0.765,0.62266289,0.590449954 +2018/08/15 20:00,0.10910105,0,0.50815,0.071666667,0.683852691,0.614049587 +2018/08/15 21:00,0.13951129,0,0.472073333,0,0.747308782,0.61620753 +2018/08/15 22:00,0.08344809,0,0.143383333,0,0.797733711,0.594031221 +2018/08/15 23:00,0.105902123,0,0.138646667,0,0.822096317,0.599954086 +2018/08/16 00:00,0.113729469,0,0.10863,0,0.838526912,0.610743802 +2018/08/16 01:00,0.099508597,0,0.00095,0,0.760339943,0.618135904 +2018/08/16 02:00,0.085516117,0,0,0,0.75184136,0.601010101 +2018/08/16 03:00,0.093447321,0,0,0,0.735977337,0.586225895 +2018/08/16 04:00,0.106537293,0,0,0,0.726345609,0.614233242 +2018/08/16 05:00,0.124587933,0,0,0,0.658356941,0.61097337 +2018/08/16 06:00,0.13529061,0.000398863,0,0,0.69631728,0.588521579 +2018/08/16 07:00,0.202783013,0.102129983,0,0.173333333,0.700849858,0.582277319 +2018/08/16 08:00,0.257622033,0.450374104,0.09956,0.201666667,0.67592068,0.581359045 +2018/08/16 09:00,0.288717929,0.650798065,0.754613333,0.203333333,0.685552408,0.567998163 +2018/08/16 10:00,0.353458572,0.741231456,0.937153333,0.201666667,0.660623229,0.567676768 +2018/08/16 11:00,0.4304338,0.792189609,0.886696667,0.025,0.667988669,0.565702479 +2018/08/16 12:00,0.470822114,0.788932227,0.876213333,0,0.725779037,0.565518825 +2018/08/16 13:00,0.502144478,0.773070635,0.88627,0,0.758640227,0.584986226 +2018/08/16 14:00,0.621040409,0.712001167,0.909993333,0,0.745609065,0.58865932 +2018/08/16 15:00,0.669068546,0.611806484,0.934516667,0,0.707648725,0.574334252 +2018/08/16 16:00,0.659318864,0.401623943,0.974296667,0,0.687252125,0.570982553 +2018/08/16 17:00,0.632245548,0.09886921,0.86045,0.038333333,0.674220963,0.590266299 +2018/08/16 18:00,0.695929338,0.000180438,0.609083333,0.78,0.641359773,0.58953168 +2018/08/16 19:00,0.624380217,0,0.559363333,0.821666667,0.637393768,0.568044077 +2018/08/16 20:00,0.524799496,0,0.52263,0.061666667,0.672521246,0.582001837 +2018/08/16 21:00,0.41144459,0,0.459313333,0,0.741076487,0.600367309 +2018/08/16 22:00,0.429654864,0,0.211103333,0,0.785835694,0.56271809 +2018/08/16 23:00,0.475802977,0,0.16994,0,0.80509915,0.570982553 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13:00,0.522287668,0.791890462,0.44316,0,0.695750708,0.350734619 +2018/08/17 14:00,0.492728007,0.742107869,0.45998,0,0.696883853,0.332552801 +2018/08/17 15:00,0.444515233,0.589008879,0.608953333,0,0.699150142,0.582828283 +2018/08/17 16:00,0.460369947,0.412080532,0.636206667,0,0.686685552,0.589439853 +2018/08/17 17:00,0.408737547,0.110771339,0.518546667,0.168333333,0.729745042,0.602662994 +2018/08/17 18:00,0.351499692,0.00037987,0.25298,0.825,0.626628895,0.564876033 +2018/08/17 19:00,0.342858791,0,0.188873333,0.58,0.654390935,0.541873278 +2018/08/17 20:00,0.300967419,0,0.018013333,0.125,0.727478754,0.569788797 +2018/08/17 21:00,0.312666365,0,0,0,0.829461756,0.577731864 +2018/08/17 22:00,0.336017617,0,0,0,0.820963173,0.557024793 +2018/08/17 23:00,0.357140247,0,0,0,0.852691218,0.554086318 +2018/08/18 00:00,0.385180502,0,0,0,0.834560907,0.573966942 +2018/08/18 01:00,0.382196023,0,0,0,0.847592068,0.556382002 +2018/08/18 02:00,0.329504366,0,0,0,0.841359773,0.556198347 +2018/08/18 03:00,0.334074605,0,0,0,0.82266289,0.547520661 +2018/08/18 04:00,0.381070412,0,0,0,0.806798867,0.558080808 +2018/08/18 05:00,0.375473132,0,0,0,0.777903683,0.571900826 +2018/08/18 06:00,0.3962688,0.000519607,0,0.135,0.776770538,0.562213039 +2018/08/18 07:00,0.490103666,0.114757935,0,0.203333333,0.724645892,0.547933884 +2018/08/18 08:00,0.42879563,0.456609392,0.064783333,0.026666667,0.700283286,0.556703398 +2018/08/18 09:00,0.365363311,0.665227684,0.54717,0,0.699716714,0.57681359 +2018/08/18 10:00,0.314638227,0.758689178,0.663016667,0,0.699716714,0.55697888 +2018/08/18 11:00,0.31942628,0.790469342,0.66171,0,0.707648725,0.547474747 +2018/08/18 12:00,0.303852848,0.805305965,0.66214,0,0.711614731,0.572497704 +2018/08/18 13:00,0.303535985,0.796613734,0.664766667,0,0.759206799,0.570293848 +2018/08/18 14:00,0.340757107,0.74408387,0.663876667,0,0.75694051,0.564370983 +2018/08/18 15:00,0.371593357,0.622918348,0.661843333,0,0.76713881,0.564554637 +2018/08/18 16:00,0.385914721,0.427872934,0.653343333,0,0.727478754,0.564921947 +2018/08/18 17:00,0.331877717,0.115535311,0.530406667,0.101666667,0.691784703,0.57020202 +2018/08/18 18:00,0.315685945,0.000439563,0.255266667,0.823333333,0.65325779,0.565105601 +2018/08/18 19:00,0.334346752,0,0.239256667,0.881666667,0.636827195,0.556703398 +2018/08/18 20:00,0.38152431,0,0.202316667,0.316666667,0.67592068,0.567171717 +2018/08/18 21:00,0.495348983,0,0.136333333,0.015,0.732011331,0.588797062 +2018/08/18 22:00,0.540780186,0,0.056236667,0,0.766572238,0.565059688 +2018/08/18 23:00,0.592043794,0,0.138773333,0,0.754674221,0.548898072 +2018/08/19 00:00,0.608210082,0,0.14426,0,0.512181303,0.529476584 +2018/08/19 01:00,0.346558257,0,0.144436667,0,0.478186969,0.519191919 +2018/08/19 02:00,0.297806958,0,0.082076667,0,0.482719547,0.52020202 +2018/08/19 03:00,0.310018944,0,0,0,0.475354108,0.54687787 +2018/08/19 04:00,0.310812786,0,0,0,0.488385269,0.584481175 +2018/08/19 05:00,0.515247432,0,0,0,0.647592068,0.598943985 +2018/08/19 06:00,0.499244144,0.000500614,0,0.003333333,0.808498584,0.584205693 +2018/08/19 07:00,0.472019848,0.086045218,0,0.201666667,0.786402266,0.590266299 +2018/08/19 08:00,0.476483825,0.362259275,0.063396667,0.045,0.782436261,0.591735537 +2018/08/19 09:00,0.475661615,0.554244704,0.55813,0,0.780169972,0.58728191 +2018/08/19 10:00,0.481693561,0.73495818,0.65722,0,0.775070822,0.593434343 +2018/08/19 11:00,0.519538793,0.760382312,0.66227,0,0.775637394,0.618870523 +2018/08/19 12:00,0.500576509,0.800535209,0.667786667,0,0.783569405,0.591827365 +2018/08/19 13:00,0.506422856,0.777390974,0.657636667,0,0.785835694,0.601698806 +2018/08/19 14:00,0.519922972,0.703432393,0.631096667,0,0.801133144,0.601331497 +2018/08/19 15:00,0.622075143,0.540843446,0.51031,0,0.8,0.597107438 +2018/08/19 16:00,0.601792995,0.322685678,0.382803333,0,0.792067989,0.593434343 +2018/08/19 17:00,0.50362638,0.071780435,0.290716667,0.045,0.766005666,0.581955923 +2018/08/19 18:00,0.472245355,0.000156018,0.17935,0.753333333,0.728611898,0.589577594 +2018/08/19 19:00,0.399870177,0,0.151763333,0.848333333,0.714447592,0.61046832 +2018/08/19 20:00,0.386454687,0,0.142096667,0.465,0.707082153,0.589623508 +2018/08/19 21:00,0.388879486,0,0.143083333,0.145,0.749008499,0.584894399 +2018/08/19 22:00,0.379523599,0,0.142946667,0,0.809065156,0.605922865 +2018/08/19 23:00,0.31346213,0,0.036156667,0,0.817563739,0.597015611 +2018/08/20 00:00,0.324946148,0,0,0,0.700849858,0.570293848 +2018/08/20 01:00,0.262579336,0,0,0,0.557507082,0.59738292 +2018/08/20 02:00,0.232635496,0,0,0,0.792067989,0.601515152 +2018/08/20 03:00,0.198066123,0,0,0,0.803966006,0.574242424 +2018/08/20 04:00,0.191207639,0,0,0,0.779603399,0.568089991 +2018/08/20 05:00,0.164973843,0,0,0,0.764872521,0.597061524 +2018/08/20 06:00,0.167051487,0.000888624,0,0,0.768271955,0.582598714 +2018/08/20 07:00,0.180492461,0.098462885,0,0.185,0.743909348,0.56882461 +2018/08/20 08:00,0.1407648,0.341352879,0.01049,0.396666667,0.735410765,0.595087236 +2018/08/20 09:00,0.138744374,0.531431498,0.159443333,0.27,0.700849858,0.576997245 +2018/08/20 10:00,0.18338414,0.636127636,0.277493333,0,0.687252125,0.561248852 +2018/08/20 11:00,0.219192599,0.688719229,0.313233333,0,0.685552408,0.577915519 +2018/08/20 12:00,0.233818325,0.696709379,0.339933333,0,0.681586402,0.586685032 +2018/08/20 13:00,0.231170904,0.640121694,0.37617,0,0.703116147,0.558999082 +2018/08/20 14:00,0.276302554,0.567035457,0.365443333,0,0.714447592,0.552479339 +2018/08/20 15:00,0.289957014,0.436409825,0.24014,0,0.726912181,0.580394858 +2018/08/20 16:00,0.300860195,0.26767513,0.172796667,0,0.708215297,0.565151515 +2018/08/20 17:00,0.301683367,0.06296339,0.143236667,0.005,0.674787535,0.536455464 +2018/08/20 18:00,0.266962053,0.000215033,0.146783333,0.915,0.647025496,0.555647383 +2018/08/20 19:00,0.267219295,0,0.027606667,0.713333333,0.67592068,0.572130395 +2018/08/20 20:00,0.284565527,0,0,0.005,0.67592068,0.552708907 +2018/08/20 21:00,0.236043582,0,0,0,0.738810198,0.534435262 +2018/08/20 22:00,0.161026753,0,0,0,0.781303116,0.551469238 +2018/08/20 23:00,0.154487537,0,0,0,0.775637394,0.568640955 +2018/08/21 00:00,0.154966919,0,0,0,0.779603399,0.539439853 +2018/08/21 01:00,0.15701956,0,0,0,0.792067989,0.530348944 +2018/08/21 02:00,0.195017694,0,0,0,0.781303116,0.557988981 +2018/08/21 03:00,0.202311805,0,0,0,0.742209632,0.564279155 +2018/08/21 04:00,0.185958476,0,0,0,0.664022663,0.523737374 +2018/08/21 05:00,0.173514732,0,0,0,0.656657224,0.553351699 +2018/08/21 06:00,0.175128861,0.000856063,0,0,0.673087819,0.564876033 +2018/08/21 07:00,0.159880467,0.045547725,0,0.17,0.662889518,0.53204775 +2018/08/21 08:00,0.121868389,0.199095096,0,0.201666667,0.625495751,0.516574839 +2018/08/21 09:00,0.097431915,0.342733298,0,0.203333333,0.635694051,0.551239669 +2018/08/21 10:00,0.077217083,0.440136617,0,0.201666667,0.635127479,0.546143251 +2018/08/21 11:00,0.059286168,0.508072908,0,0.033333333,0.630028329,0.507759412 +2018/08/21 12:00,0.042101973,0.50899884,0.03215,0,0.639093484,0.526767677 +2018/08/21 13:00,0.0472016,0.484776047,0.118436667,0,0.671954674,0.556795225 +2018/08/21 14:00,0.074512444,0.424513801,0.12775,0.003333333,0.656090652,0.544398531 +2018/08/21 15:00,0.116072528,0.321582021,0.084483333,0.005,0.659490085,0.538842975 +2018/08/21 16:00,0.137419221,0.150545045,0.006246667,0,0.646458924,0.569880624 +2018/08/21 17:00,0.163437127,0.034597983,0,0.075,0.671954674,0.577777778 +2018/08/21 18:00,0.202913317,0.00026116,0,0.92,0.626062323,0.53865932 +2018/08/21 19:00,0.238141901,0,0,0.675,0.654390935,0.578374656 +2018/08/21 20:00,0.242737143,0,0,0.016666667,0.664589235,0.575022957 +2018/08/21 21:00,0.2337688,0,0,0,0.703116147,0.548668503 +2018/08/21 22:00,0.219287802,0,0,0,0.728611898,0.581680441 +2018/08/21 23:00,0.208501943,0,0,0,0.698016997,0.57805326 +2018/08/22 00:00,0.19932925,0,0,0,0.698583569,0.57194674 +2018/08/22 01:00,0.199178751,0,0,0,0.728611898,0.593939394 +2018/08/22 02:00,0.15233777,0,0,0,0.761473088,0.587924702 +2018/08/22 03:00,0.111826845,0,0,0,0.768838527,0.572405877 +2018/08/22 04:00,0.134144324,0,0,0,0.743342776,0.586914601 +2018/08/22 05:00,0.153372505,0,0,0,0.746175637,0.597107438 +2018/08/22 06:00,0.158890449,0.000744816,0,0,0.706515581,0.555876951 +2018/08/22 07:00,0.127065142,0.107407458,0,0.198333333,0.681586402,0.51134068 +2018/08/22 08:00,0.079852964,0.420101886,0.03037,0.201666667,0.65325779,0.519283747 +2018/08/22 09:00,0.079530811,0.624999491,0.177756667,0.203333333,0.661756374,0.340036731 +2018/08/22 10:00,0.082090241,0.736051662,0.29148,0.198333333,0.66572238,0.364508724 +2018/08/22 11:00,0.083953437,0.783683921,0.501636667,0,0.675354108,0.559871442 +2018/08/22 12:00,0.095950494,0.822094845,0.591226667,0,0.669121813,0.596740129 +2018/08/22 13:00,0.125588049,0.816503978,0.606653333,0,0.69121813,0.558126722 +2018/08/22 14:00,0.153367696,0.770592664,0.5962,0,0.686685552,0.553259871 +2018/08/22 15:00,0.185023753,0.659155197,0.595486667,0,0.700283286,0.5587236 +2018/08/22 16:00,0.188611667,0.444623149,0.560743333,0,0.678186969,0.536822773 +2018/08/22 17:00,0.16598646,0.123657737,0.501496667,0.04,0.707648725,0.554820937 +2018/08/22 18:00,0.174864407,0.000575231,0.307916667,0.918333333,0.641926346,0.59214876 +2018/08/22 19:00,0.177173328,0,0.300156667,0.71,0.664022663,0.581726354 +2018/08/22 20:00,0.155512655,0,0.289176667,0.033333333,0.726912181,0.552525253 +2018/08/22 21:00,0.167917933,0,0.196693333,0,0.748441926,0.571579431 +2018/08/22 22:00,0.130416971,0,0.13989,0,0.778470255,0.59738292 +2018/08/22 23:00,0.122337193,0,0.139306667,0,0.768838527,0.5456382 +2018/08/23 00:00,0.105495346,0,0.13999,0,0.781303116,0.568870523 +2018/08/23 01:00,0.112916875,0,0.14054,0,0.765439093,0.568181818 +2018/08/23 02:00,0.128647055,0,0.103376667,0,0.754107649,0.523278237 +2018/08/23 03:00,0.123720045,0,0,0,0.76713881,0.511386593 +2018/08/23 04:00,0.139951725,0,0,0,0.756373938,0.537006428 +2018/08/23 05:00,0.166249471,0,0,0,0.743342776,0.53989899 +2018/08/23 06:00,0.175827019,0.001440791,0,0,0.739376771,0.51446281 +2018/08/23 07:00,0.146992441,0.137367639,0,0.313333333,0.722379603,0.528879706 +2018/08/23 08:00,0.117027926,0.477736927,0.10881,0.245,0.642492918,0.574931129 +2018/08/23 09:00,0.121326018,0.677139989,0.524016667,0.245,0.644192635,0.550183655 +2018/08/23 10:00,0.130855003,0.77640874,0.557966667,0.043333333,0.64305949,0.5184573 +2018/08/23 11:00,0.130838174,0.812834167,0.56315,0,0.644759207,0.506519743 +2018/08/23 12:00,0.138021695,0.841010996,0.562886667,0,0.645325779,0.571028466 +2018/08/23 13:00,0.144854214,0.824545004,0.564773333,0,0.652691218,0.525252525 +2018/08/23 14:00,0.149125861,0.764455057,0.56259,0,0.650424929,0.534573003 +2018/08/23 15:00,0.161983594,0.652900237,0.56318,0,0.652124646,0.558631772 +2018/08/23 16:00,0.156892141,0.447924623,0.554126667,0,0.647025496,0.528328742 +2018/08/23 17:00,0.150599108,0.128351841,0.448056667,0.131666667,0.640226629,0.512350781 +2018/08/23 18:00,0.191481709,0.000647813,0.28479,0.956666667,0.61529745,0.548806244 +2018/08/23 19:00,0.248771493,0,0.274636667,0.591666667,0.636260623,0.549265381 +2018/08/23 20:00,0.243378082,0,0.265036667,0.011666667,0.656657224,0.509963269 +2018/08/23 21:00,0.222042928,0,0.16521,0,0.730311615,0.544306703 +2018/08/23 22:00,0.172160249,0,0.14491,0,0.745042493,0.554132231 +2018/08/23 23:00,0.14637362,0,0.14273,0,0.73427762,0.499908173 +2018/08/24 00:00,0.131235816,0,0.1413,0,0.724645892,0.516299357 +2018/08/24 01:00,0.113764569,0,0.140123333,0,0.742776204,0.523599633 +2018/08/24 02:00,0.116131188,0,0.142053333,0,0.749575071,0.487603306 +2018/08/24 03:00,0.119528696,0,0.052133333,0,0.771671388,0.50137741 +2018/08/24 04:00,0.093710332,0,0,0,0.735410765,0.511799816 +2018/08/24 05:00,0.095707678,0,0,0,0.733144476,0.517998163 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08:00,0.543285764,0.37428554,0.142283333,0.201666667,0.707082153,0.525849403 +2018/08/25 09:00,0.516763954,0.550659006,0.54726,0.201666667,0.687818697,0.525711662 +2018/08/25 10:00,0.579225007,0.667494014,0.558233333,0.185,0.680453258,0.524747475 +2018/08/25 11:00,0.652481536,0.741225351,0.55703,0,0.71898017,0.533195592 +2018/08/25 12:00,0.701558834,0.772842035,0.598423333,0,0.710481586,0.551698806 +2018/08/25 13:00,0.745707197,0.767146704,0.644966667,0,0.71898017,0.554040404 +2018/08/25 14:00,0.716262934,0.708038313,0.65932,0,0.710481586,0.54600551 +2018/08/25 15:00,0.695458611,0.59314064,0.65628,0,0.71388102,0.543526171 +2018/08/25 16:00,0.728012848,0.397538309,0.64774,0,0.719546742,0.519880624 +2018/08/25 17:00,0.625028849,0.115124916,0.52603,0.056666667,0.714447592,0.515610652 +2018/08/25 18:00,0.477930146,0.001341075,0.35877,0.948333333,0.687818697,0.548484848 +2018/08/25 19:00,0.497145344,0,0.34414,0.685,0.66572238,0.552479339 +2018/08/25 20:00,0.594183944,0,0.332373333,0.008333333,0.669121813,0.554224059 +2018/08/25 21:00,0.582239297,0,0.309613333,0,0.700283286,0.553764922 +2018/08/25 22:00,0.520902412,0,0.278116667,0,0.705949008,0.552892562 +2018/08/25 23:00,0.573850829,0,0.147833333,0,0.701416431,0.552938476 +2018/08/26 00:00,0.622504039,0,0.14143,0,0.687818697,0.548025712 +2018/08/26 01:00,0.794200773,0,0.141636667,0,0.688385269,0.527961433 +2018/08/26 02:00,0.795773551,0,0.128566667,0,0.669121813,0.516253444 +2018/08/26 03:00,0.808989499,0,0.007716667,0,0.737677054,0.516988062 +2018/08/26 04:00,0.804217794,0,0,0,0.728045326,0.499724518 +2018/08/26 05:00,0.811028676,0,0,0,0.726912181,0.486455464 +2018/08/26 06:00,0.782870139,0.001900705,0,0,0.73427762,0.49338843 +2018/08/26 07:00,0.726986768,0.114074848,0,0.181666667,0.743909348,0.511570248 +2018/08/26 08:00,0.74644382,0.364695867,0.00446,0.201666667,0.75184136,0.5271809 +2018/08/26 09:00,0.801621341,0.548894647,0.04529,0.201666667,0.744475921,0.513957759 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22:00,0.4768656,0,0,0,0.750708215,0.493526171 +2018/08/26 23:00,0.493991134,0,0,0,0.709915014,0.49862259 +2018/08/27 00:00,0.510023272,0,0,0,0.712181303,0.482093664 +2018/08/27 01:00,0.480173674,0,0,0,0.716147309,0.474885216 +2018/08/27 02:00,0.469690253,0,0,0,0.743909348,0.475849403 +2018/08/27 03:00,0.474411471,0,0,0,0.730878187,0.478971534 +2018/08/27 04:00,0.486402758,0,0,0,0.728611898,0.483746556 +2018/08/27 05:00,0.501725199,0,0,0,0.740509915,0.490266299 +2018/08/27 06:00,0.489376659,0.002728278,0,0,0.738810198,0.502662994 +2018/08/27 07:00,0.473119495,0.169714894,0,0.506666667,0.707648725,0.50785124 +2018/08/27 08:00,0.497973805,0.498043671,0.0128,0.375,0.652691218,0.522635445 +2018/08/27 09:00,0.50851204,0.6861178,0.44268,0.203333333,0.672521246,0.523415978 +2018/08/27 10:00,0.533311536,0.784278824,0.65719,0.015,0.674220963,0.521579431 +2018/08/27 11:00,0.565388795,0.821425325,0.654593333,0,0.67082153,0.520385675 +2018/08/27 12:00,0.615386872,0.82564934,0.556196667,0,0.688385269,0.525206612 +2018/08/27 13:00,0.642000519,0.810194073,0.579306667,0,0.726912181,0.540128558 +2018/08/27 14:00,0.66731017,0.761161723,0.655343333,0,0.736543909,0.564554637 +2018/08/27 15:00,0.674059988,0.639479307,0.65932,0,0.73427762,0.556290174 +2018/08/27 16:00,0.657606647,0.436028599,0.652336667,0,0.722379603,0.550780533 +2018/08/27 17:00,0.619506097,0.124093231,0.521713333,0,0.683286119,0.570385675 +2018/08/27 18:00,0.576796842,0.001326152,0.385626667,0.591666667,0.633994334,0.565059688 +2018/08/27 19:00,0.506980613,0,0.334453333,0.673333333,0.643626062,0.516942149 +2018/08/27 20:00,0.491974074,0,0.326246667,0.123333333,0.669688385,0.52805326 +2018/08/27 21:00,0.502464227,0,0.30146,0,0.69631728,0.554086318 +2018/08/27 22:00,0.507907643,0,0.246083333,0,0.750708215,0.521717172 +2018/08/27 23:00,0.456178117,0,0.13613,0,0.713314448,0.515059688 +2018/08/28 00:00,0.462071104,0,0.135543333,0,0.691784703,0.53953168 +2018/08/28 01:00,0.43946465,0,0.137086667,0,0.543909348,0.515794307 +2018/08/28 02:00,0.416718275,0,0.136093333,0,0.518413598,0.498117539 +2018/08/28 03:00,0.386369581,0,0.12836,0,0.516713881,0.525482094 +2018/08/28 04:00,0.366832711,0,0.00142,0,0.662889518,0.51932966 +2018/08/28 05:00,0.362755799,0,0,0,0.704249292,0.504683196 +2018/08/28 06:00,0.366177347,0.003552459,0,0,0.704249292,0.523966942 +2018/08/28 07:00,0.340015675,0.17176212,0.000983333,0.356666667,0.701416431,0.548025712 +2018/08/28 08:00,0.33255039,0.491725626,0.18306,0.226666667,0.684985836,0.542837466 +2018/08/28 09:00,0.36282648,0.672678556,0.60134,0.201666667,0.701416431,0.522084481 +2018/08/28 10:00,0.375987133,0.787886907,0.605613333,0.011666667,0.704815864,0.54040404 +2018/08/28 11:00,0.344191637,0.844162557,0.564013333,0,0.696883853,0.552525253 +2018/08/28 12:00,0.322870908,0.85672471,0.65936,0,0.720113314,0.504269972 +2018/08/28 13:00,0.303141228,0.83984154,0.666776667,0,0.722379603,0.540541781 +2018/08/28 14:00,0.325638054,0.783673746,0.662046667,0,0.721813031,0.545224977 +2018/08/28 15:00,0.324583606,0.670891812,0.66088,0,0.716147309,0.522543618 +2018/08/28 16:00,0.304989037,0.458707494,0.641666667,0,0.724645892,0.528696051 +2018/08/28 17:00,0.25932271,0.140802068,0.515833333,0,0.64815864,0.553213958 +2018/08/28 18:00,0.226020791,0.003107469,0.370716667,0.513333333,0.608498584,0.523232323 +2018/08/28 19:00,0.209140478,0,0.36737,0.651666667,0.61529745,0.517401286 +2018/08/28 20:00,0.172198715,0,0.38482,0.415,0.643626062,0.548898072 +2018/08/28 21:00,0.177500769,0,0.309056667,0.315,0.698016997,0.530119376 +2018/08/28 22:00,0.190628726,0,0.24336,0.008333333,0.747875354,0.513131313 +2018/08/28 23:00,0.173307978,0,0.137826667,0,0.747875354,0.53902663 +2018/08/29 00:00,0.14812863,0,0.137366667,0,0.729745042,0.528879706 +2018/08/29 01:00,0.130630938,0,0.13683,0,0.730311615,0.493067034 +2018/08/29 02:00,0.145836539,0,0.13604,0,0.745609065,0.492011019 +2018/08/29 03:00,0.140565738,0,0.13035,0,0.717280453,0.519054178 +2018/08/29 04:00,0.146673655,0,0.004093333,0,0.712747875,0.512672176 +2018/08/29 05:00,0.167326518,0,0,0,0.721246459,0.492011019 +2018/08/29 06:00,0.213396738,0.00339305,0,0,0.715580737,0.516161616 +2018/08/29 07:00,0.226645863,0.170342357,0.000266667,0.363333333,0.700283286,0.456152433 +2018/08/29 08:00,0.194146921,0.499171749,0.207636667,0.205,0.674220963,0.473324151 +2018/08/29 09:00,0.152176693,0.692650201,0.87509,0.201666667,0.673087819,0.512947658 +2018/08/29 10:00,0.172668481,0.799496673,0.975993333,0.026666667,0.67082153,0.513177227 +2018/08/29 11:00,0.215404181,0.850001018,0.95522,0,0.670254958,0.488521579 +2018/08/29 12:00,0.237452398,0.855494204,0.958426667,0,0.681586402,0.47456382 +2018/08/29 13:00,0.239627649,0.834535575,0.962093333,0,0.70368272,0.472865014 +2018/08/29 14:00,0.243525214,0.775564208,0.94783,0,0.699150142,0.450734619 +2018/08/29 15:00,0.256762319,0.627323479,0.950006667,0,0.700849858,0.43328742 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22:00,0.332722045,0,0,0,0.603966006,0.493204775 +2018/09/06 23:00,0.348006982,0,0,0,0.611898017,0.483654729 +2018/09/07 00:00,0.330696811,0,0,0,0.626628895,0.432323232 +2018/09/07 01:00,0.308337981,0,0,0,0.628328612,0.427823691 +2018/09/07 02:00,0.316191291,0,0,0,0.64815864,0.432736455 +2018/09/07 03:00,0.342829461,0,0,0,0.656657224,0.432966024 +2018/09/07 04:00,0.372042447,0,0,0,0.656657224,0.434067952 +2018/09/07 05:00,0.381325249,0,0,0,0.682152975,0.437603306 +2018/09/07 06:00,0.37651027,0.006688419,0,0,0.684985836,0.467125803 +2018/09/07 07:00,0.380536697,0.185212218,0,0.331666667,0.671954674,0.47456382 +2018/09/07 08:00,0.360285321,0.46099146,0.017026667,0.545,0.666288952,0.469972452 +2018/09/07 09:00,0.330849713,0.697304961,0.41017,0.353333333,0.652124646,0.465656566 +2018/09/07 10:00,0.413067373,0.79977954,0.693816667,0.353333333,0.656657224,0.458953168 +2018/09/07 11:00,0.455980979,0.781936521,0.747836667,0.016666667,0.661189802,0.453535354 +2018/09/07 12:00,0.491073008,0.761923497,0.819433333,0,0.656090652,0.455417815 +2018/09/07 13:00,0.526439108,0.72016565,0.821083333,0,0.660623229,0.454820937 +2018/09/07 14:00,0.497188618,0.659242024,0.62538,0,0.657790368,0.455968779 +2018/09/07 15:00,0.491783667,0.508555885,0.500693333,0,0.610764873,0.451010101 +2018/09/07 16:00,0.580933858,0.368305985,0.440306667,0,0.5898017,0.421533517 +2018/09/07 17:00,0.634553987,0.130855588,0.63505,0,0.63796034,0.444352617 +2018/09/07 18:00,0.668701196,0.001514052,0.592513333,0.655,0.561473088,0.464784206 +2018/09/07 19:00,0.654877967,0,0.564436667,0.753333333,0.558640227,0.448209366 +2018/09/07 20:00,0.603006597,0,0.512646667,0.463333333,0.589235127,0.462672176 +2018/09/07 21:00,0.543976228,0,0.24326,0.073333333,0.648725212,0.491827365 +2018/09/07 22:00,0.505332346,0,0.130233333,0,0.644192635,0.515243343 +2018/09/07 23:00,0.460394949,0,0.131,0,0.657223796,0.473966942 +2018/09/08 00:00,0.463877563,0,0.13052,0,0.656657224,0.421671258 +2018/09/08 01:00,0.462508655,0,0.030773333,0,0.666288952,0.405463728 +2018/09/08 02:00,0.478642728,0,0,0,0.666288952,0.414279155 +2018/09/08 03:00,0.498510405,0,0,0,0.664589235,0.424380165 +2018/09/08 04:00,0.485137227,0,0,0,0.680453258,0.426675849 +2018/09/08 05:00,0.480009232,0,0,0,0.684985836,0.430624426 +2018/09/08 06:00,0.498219025,0.006592773,0,0,0.67592068,0.484710744 +2018/09/08 07:00,0.425732296,0.146683263,0,0.213333333,0.674787535,0.515932048 +2018/09/08 08:00,0.377231027,0.350863864,0.021323333,0.35,0.648725212,0.473094582 +2018/09/08 09:00,0.403056122,0.493624974,0.535106667,0.35,0.620963173,0.468365473 +2018/09/08 10:00,0.426687695,0.551135878,0.668403333,0.348333333,0.614164306,0.487557392 +2018/09/08 11:00,0.470103281,0.586206663,0.6564,0.26,0.619263456,0.483011938 +2018/09/08 12:00,0.475609686,0.63536247,0.66451,0.073333333,0.666288952,0.498117539 +2018/09/08 13:00,0.466156191,0.584055651,0.787903333,0,0.678753541,0.520064279 +2018/09/08 14:00,0.462704831,0.548092851,0.702446667,0,0.674220963,0.52543618 +2018/09/08 15:00,0.483530792,0.462088333,0.76969,0,0.674787535,0.523370064 +2018/09/08 16:00,0.497127072,0.357083551,0.807433333,0,0.685552408,0.52020202 +2018/09/08 17:00,0.504129803,0.116933367,0.86654,0.016666667,0.68101983,0.533746556 +2018/09/08 18:00,0.534137112,0.002214776,0.688736667,0.765,0.580169972,0.540036731 +2018/09/08 19:00,0.499765838,0,0.554706667,0.765,0.541643059,0.526951331 +2018/09/08 20:00,0.483114398,0,0.50246,0.383333333,0.596600567,0.531726354 +2018/09/08 21:00,0.486460938,0,0.486956667,0.025,0.62776204,0.55348944 +2018/09/08 22:00,0.47126303,0,0.146773333,0,0.658923513,0.546418733 +2018/09/08 23:00,0.453029196,0,0.000166667,0,0.658923513,0.538429752 +2018/09/09 00:00,0.43811786,0,0,0,0.539376771,0.501606979 +2018/09/09 01:00,0.491567296,0,0,0,0.444759207,0.493526171 +2018/09/09 02:00,0.433360099,0,0,0,0.426062323,0.505509642 +2018/09/09 03:00,0.401809343,0,0,0,0.438526912,0.528236915 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16:00,0.156562776,0.508939146,0.989943333,0,0.658923513,0.529155188 +2018/09/09 17:00,0.150654883,0.172530678,0.907203333,0,0.649858357,0.525895317 +2018/09/09 18:00,0.152972939,0.003169198,0.722936667,0.75,0.568838527,0.54738292 +2018/09/09 19:00,0.178184983,0,0.692386667,0.786666667,0.546175637,0.542470156 +2018/09/09 20:00,0.212021099,0,0.66963,0.39,0.581869688,0.515748393 +2018/09/09 21:00,0.236586914,0,0.63495,0.018333333,0.623796034,0.511616162 +2018/09/09 22:00,0.265524387,0,0.29976,0,0.664022663,0.511294766 +2018/09/09 23:00,0.251953591,0,0.142223333,0,0.684419263,0.480853994 +2018/09/10 00:00,0.291302843,0,0.14161,0,0.699716714,0.440587695 +2018/09/10 01:00,0.333345675,0,0.14173,0,0.711048159,0.45486685 +2018/09/10 02:00,0.336108974,0,0.14112,0,0.718413598,0.446969697 +2018/09/10 03:00,0.352051198,0,0.14132,0,0.718413598,0.442424242 +2018/09/10 04:00,0.342166885,0,0.104493333,0,0.64305949,0.447107438 +2018/09/10 05:00,0.364069893,0,0,0,0.598300283,0.451469238 +2018/09/10 06:00,0.356310824,0.018011247,0.146623333,0.13,0.604532578,0.48503214 +2018/09/10 07:00,0.358997673,0.247035999,0.309383333,0.326666667,0.633994334,0.503351699 +2018/09/10 08:00,0.326414105,0.575261669,0.46934,0.551666667,0.692351275,0.505142332 +2018/09/10 09:00,0.291249952,0.754868097,0.969356667,0.361666667,0.690084986,0.514921947 +2018/09/10 10:00,0.287324499,0.85271505,0.99461,0.348333333,0.706515581,0.516942149 +2018/09/10 11:00,0.216447571,0.895596226,0.99421,0.01,0.696883853,0.516758494 +2018/09/10 12:00,0.160382448,0.907387107,0.99563,0,0.700283286,0.504178145 +2018/09/10 13:00,0.142320268,0.890271946,0.99224,0,0.711614731,0.479155188 +2018/09/10 14:00,0.128502808,0.83368019,0.9946,0,0.705949008,0.47943067 +2018/09/10 15:00,0.120307632,0.718375515,0.997976667,0,0.696883853,0.479981635 +2018/09/10 16:00,0.10959678,0.504196881,0.993866667,0,0.670254958,0.479889807 +2018/09/10 17:00,0.087780321,0.174208888,0.918933333,0,0.635127479,0.477548209 +2018/09/10 18:00,0.094316171,0.003299439,0.737713333,0.663333333,0.608498584,0.477961433 +2018/09/10 19:00,0.100671712,0,0.69744,0.803333333,0.598866856,0.479247016 +2018/09/10 20:00,0.093054968,0,0.697746667,0.446666667,0.603399433,0.497015611 +2018/09/10 21:00,0.120896642,0,0.68692,0.025,0.623796034,0.488200184 +2018/09/10 22:00,0.13438666,0,0.341576667,0,0.663456091,0.476905418 +2018/09/10 23:00,0.137096588,0,0.18557,0,0.684985836,0.443480257 +2018/09/11 00:00,0.143482421,0,0.160686667,0,0.699150142,0.41010101 +2018/09/11 01:00,0.153675905,0,0.158193333,0,0.667988669,0.411937557 +2018/09/11 02:00,0.17450427,0,0.151493333,0,0.697450425,0.416896235 +2018/09/11 03:00,0.19811661,0,0.01955,0,0.69121813,0.417033976 +2018/09/11 04:00,0.191691349,0,0,0,0.656657224,0.420431589 +2018/09/11 05:00,0.1932021,0,0,0,0.618696884,0.438475666 +2018/09/11 06:00,0.207619148,0.01732816,0.154636667,0.001666667,0.641359773,0.475619835 +2018/09/11 07:00,0.212419702,0.266614208,0.26307,0.343333333,0.682152975,0.483654729 +2018/09/11 08:00,0.186792707,0.586441368,0.62849,0.535,0.682719547,0.485261708 +2018/09/11 09:00,0.175721718,0.749811083,0.98555,0.356666667,0.705382436,0.511248852 +2018/09/11 10:00,0.228931704,0.842930694,0.994666667,0.35,0.720113314,0.545867769 +2018/09/11 11:00,0.292398161,0.892918823,0.993793333,0.006666667,0.737677054,0.523875115 +2018/09/11 12:00,0.285915683,0.883293877,0.994613333,0,0.714447592,0.491046832 +2018/09/11 13:00,0.269521002,0.82575923,0.994913333,0,0.729745042,0.520064279 +2018/09/11 14:00,0.291725488,0.768316838,0.99571,0,0.721813031,0.537465565 +2018/09/11 15:00,0.326730488,0.636212429,0.994933333,0,0.707082153,0.546786042 +2018/09/11 16:00,0.327113705,0.426156737,0.98716,0,0.682152975,0.559779614 +2018/09/11 17:00,0.31461611,0.148933991,0.91115,0.043333333,0.643626062,0.562580349 +2018/09/11 18:00,0.328603781,0.002773048,0.739393333,0.688333333,0.560906516,0.562764004 +2018/09/11 19:00,0.320584587,0,0.705683333,0.601666667,0.553541076,0.563957759 +2018/09/11 20:00,0.340528715,0,0.699276667,0.348333333,0.554107649,0.599862259 +2018/09/11 21:00,0.323749856,0,0.674143333,0.018333333,0.626628895,0.610697888 +2018/09/11 22:00,0.283341347,0,0.316803333,0,0.681586402,0.609779614 +2018/09/11 23:00,0.314534369,0,0.159636667,0,0.669121813,0.570064279 +2018/09/12 00:00,0.312331231,0,0.146983333,0,0.68611898,0.520156107 +2018/09/12 01:00,0.369158941,0,0.145173333,0,0.688385269,0.534710744 +2018/09/12 02:00,0.344935473,0,0.145353333,0,0.697450425,0.570615243 +2018/09/12 03:00,0.343439628,0,0.143856667,0,0.668555241,0.558034894 +2018/09/12 04:00,0.383579355,0,0.051533333,0,0.661189802,0.570844812 +2018/09/12 05:00,0.467544332,0,0,0,0.616997167,0.58117539 +2018/09/12 06:00,0.456600762,0.017735163,0.06758,0,0.615864023,0.602800735 +2018/09/12 07:00,0.397517502,0.244614331,0.32624,0.325,0.669121813,0.605004591 +2018/09/12 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20:00,0.398732546,0,0.693123333,0.43,0.579036827,0.622681359 +2018/09/12 21:00,0.347623764,0,0.671906667,0.05,0.680453258,0.620385675 +2018/09/12 22:00,0.276680482,0,0.31871,0,0.670254958,0.614921947 +2018/09/12 23:00,0.272273243,0,0.16364,0,0.578470255,0.586179982 +2018/09/13 00:00,0.252671462,0,0.151873333,0,0.664589235,0.57107438 +2018/09/13 01:00,0.218561276,0,0.14582,0,0.692351275,0.554453627 +2018/09/13 02:00,0.193646863,0,0.14583,0,0.720113314,0.549403122 +2018/09/13 03:00,0.190045486,0,0.14509,0,0.666855524,0.575803489 +2018/09/13 04:00,0.170511982,0,0.132693333,0,0.635694051,0.574426079 +2018/09/13 05:00,0.190663346,0,0.01527,0,0.601133144,0.575068871 +2018/09/13 06:00,0.232228719,0.019519872,0.114886667,0,0.645892351,0.601652893 +2018/09/13 07:00,0.246682309,0.274692543,0.323993333,0.328333333,0.673087819,0.613957759 +2018/09/13 08:00,0.24551054,0.580927832,0.492303333,0.54,0.666855524,0.612213039 +2018/09/13 09:00,0.317921779,0.738083965,0.90896,0.361666667,0.707648725,0.614003673 +2018/09/13 10:00,0.299812959,0.821833685,0.991833333,0.34,0.668555241,0.638980716 +2018/09/13 11:00,0.267051968,0.858489069,0.9915,0.013333333,0.675354108,0.559136823 +2018/09/13 12:00,0.351596819,0.880065663,0.989173333,0,0.37223796,0.574747475 +2018/09/13 13:00,0.426596338,0.859053446,0.98732,0,0.393201133,0.612901745 +2018/09/13 14:00,0.483788033,0.803711869,0.99022,0,0.386968839,0.623507805 +2018/09/13 15:00,0.550076451,0.696664609,0.993326667,0,0.375070822,0.615013774 +2018/09/13 16:00,0.546113975,0.48802054,0.99105,0,0.36713881,0.612488522 +2018/09/13 17:00,0.496581336,0.169109816,0.929276667,0.065,0.361473088,0.614416896 +2018/09/13 18:00,0.41154989,0.003913335,0.726356667,0.936666667,0.315014164,0.634435262 +2018/09/13 19:00,0.357849944,0,0.688293333,0.6,0.311048159,0.628236915 +2018/09/13 20:00,0.304922203,0,0.681553333,0.345,0.312181303,0.628328742 +2018/09/13 21:00,0.273407989,0,0.652903333,0.01,0.326912181,0.65959596 +2018/09/13 22:00,0.269701312,0,0.325766667,0,0.407932011,0.671258035 +2018/09/13 23:00,0.252693099,0,0.164666667,0,0.497450425,0.57369146 +2018/09/14 00:00,0.231537774,0,0.145943333,0,0.722379603,0.544306703 +2018/09/14 01:00,0.183495692,0,0.137406667,0,0.693484419,0.548117539 +2018/09/14 02:00,0.151955514,0,0.137193333,0,0.717280453,0.532782369 +2018/09/14 03:00,0.146960707,0,0.137113333,0,0.695184136,0.545500459 +2018/09/14 04:00,0.173178636,0,0.112866667,0,0.678186969,0.565426997 +2018/09/14 05:00,0.185341578,0,0.004173333,0,0.602266289,0.547704316 +2018/09/14 06:00,0.236088299,0.020857556,0.146053333,0,0.613031161,0.619513315 +2018/09/14 07:00,0.245659115,0.282984554,0.240343333,0.348333333,0.638526912,0.627731864 +2018/09/14 08:00,0.247299688,0.580428574,0.591863333,0.351666667,0.673087819,0.641689624 +2018/09/14 09:00,0.316576913,0.736721182,0.970406667,0.351666667,0.681586402,0.647933884 +2018/09/14 10:00,0.354959226,0.831331104,0.990833333,0.351666667,0.702549575,0.660284665 +2018/09/14 11:00,0.428759088,0.883806022,0.97996,0.203333333,0.706515581,0.646464646 +2018/09/14 12:00,0.494836904,0.893382807,0.879063333,0,0.661189802,0.614049587 +2018/09/14 13:00,0.51434829,0.857898914,0.953333333,0,0.720113314,0.610651974 +2018/09/14 14:00,0.539722853,0.795866883,0.995886667,0,0.71898017,0.626492195 +2018/09/14 15:00,0.569410894,0.656245124,0.957256667,0,0.701983003,0.628420569 +2018/09/14 16:00,0.528090741,0.457274842,0.723203333,0,0.695750708,0.60661157 +2018/09/14 17:00,0.454916433,0.133212815,0.651923333,0.021666667,0.666855524,0.627502296 +2018/09/14 18:00,0.383632727,0.002175432,0.663066667,0.761666667,0.50878187,0.629292929 +2018/09/14 19:00,0.395769704,0,0.663493333,0.736666667,0.624362606,0.611111111 +2018/09/14 20:00,0.431562776,0,0.602376667,0.396666667,0.58470255,0.611616162 +2018/09/14 21:00,0.399909605,0,0.363336667,0.02,0.578470255,0.627318641 +2018/09/14 22:00,0.348601762,0,0.151283333,0,0.571671388,0.629568411 +2018/09/14 23:00,0.322801669,0,0.14547,0,0.577903683,0.644444444 +2018/09/15 00:00,0.302905143,0,0.14524,0,0.629461756,0.658907254 +2018/09/15 01:00,0.274135477,0,0.141793333,0,0.563172805,0.660192837 +2018/09/15 02:00,0.235005962,0,0.140986667,0,0.419830028,0.659412305 +2018/09/15 03:00,0.22863792,0,0.141726667,0,0.332577904,0.652571166 +2018/09/15 04:00,0.244008924,0,0.025166667,0,0.209631728,0.652020202 +2018/09/15 05:00,0.272022733,0,0,0,0.136543909,0.652479339 +2018/09/15 06:00,0.264444455,0.021893379,0,0,0.077053824,0.655509642 +2018/09/15 07:00,0.250207235,0.268052965,0.003293333,0.273333333,0.084419263,0.657805326 +2018/09/15 08:00,0.22665596,0.554579803,0.17927,0.348333333,0.09121813,0.657621671 +2018/09/15 09:00,0.248568104,0.699888752,0.654893333,0.35,0.071388102,0.615151515 +2018/09/15 10:00,0.292487114,0.80475244,0.785783333,0.35,0.067988669,0.619834711 +2018/09/15 11:00,0.295570162,0.842932051,0.782866667,0.231666667,0.069121813,0.636179982 +2018/09/15 12:00,0.320351868,0.849235852,0.626886667,0.041666667,0.067988669,0.658080808 +2018/09/15 13:00,0.349560526,0.821955786,0.66679,0,0.069688385,0.681864096 +2018/09/15 14:00,0.330154441,0.752240213,0.701533333,0,0.07082153,0.586317723 +2018/09/15 15:00,0.297302093,0.633005244,0.765,0,0.067422096,0.568227732 +2018/09/15 16:00,0.28582673,0.412284034,0.812533333,0,0.079320113,0.575482094 +2018/09/15 17:00,0.288889103,0.142457214,0.80706,0,0.104249292,0.63865932 +2018/09/15 18:00,0.262891872,0.003881454,0.69751,0.573333333,0.082719547,0.678420569 +2018/09/15 19:00,0.278723507,0,0.638386667,0.7,0.083852691,0.670982553 +2018/09/15 20:00,0.244691695,0,0.636963333,0.61,0.083286119,0.650275482 +2018/09/15 21:00,0.181867619,0,0.617526667,0.065,0.075354108,0.673048669 +2018/09/15 22:00,0.152075239,0,0.301183333,0,0.057790368,0.681083563 +2018/09/15 23:00,0.133247105,0,0.16901,0,0.056657224,0.649586777 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13:00,0.330879525,0.861961484,0.825326667,0,0.102549575,0.609182736 +2018/09/16 14:00,0.350830865,0.807039798,0.807986667,0,0.098016997,0.608494031 +2018/09/16 15:00,0.384314055,0.671047151,0.681736667,0,0.092351275,0.636822773 +2018/09/16 16:00,0.434472247,0.423271084,0.730113333,0,0.083286119,0.637557392 +2018/09/16 17:00,0.483650517,0.158997823,0.79161,0.005,0.071954674,0.629706152 +2018/09/16 18:00,0.50763742,0.003538214,0.731643333,0.673333333,0.109915014,0.639302112 +2018/09/16 19:00,0.475779417,0,0.651226667,0.701666667,0.240226629,0.639256198 +2018/09/16 20:00,0.429814498,0,0.64115,0.378333333,0.64815864,0.637373737 +2018/09/16 21:00,0.313728507,0,0.625503333,0.095,0.676487252,0.611616162 +2018/09/16 22:00,0.258982286,0,0.205263333,0,0.675354108,0.621487603 +2018/09/16 23:00,0.2783701,0,0.14366,0,0.688951841,0.615105601 +2018/09/17 00:00,0.331312748,0,0.14392,0,0.700283286,0.547061524 +2018/09/17 01:00,0.391658653,0,0.14412,0,0.649858357,0.541735537 +2018/09/17 02:00,0.45790572,0,0.144186667,0,0.56203966,0.562258953 +2018/09/17 03:00,0.469232988,0,0.144566667,0,0.602266289,0.553581267 +2018/09/17 04:00,0.479743336,0,0.12919,0,0.682152975,0.549816345 +2018/09/17 05:00,0.534300592,0,0.001123333,0,0.650424929,0.564784206 +2018/09/17 06:00,0.470059045,0.02505715,0.025413333,0,0.676487252,0.592791552 +2018/09/17 07:00,0.401762703,0.266020662,0.237863333,0.276666667,0.703116147,0.58241506 +2018/09/17 08:00,0.321890987,0.546965452,0.65427,0.35,0.703116147,0.606887052 +2018/09/17 09:00,0.400560161,0.712245369,0.823356667,0.35,0.698583569,0.611616162 +2018/09/17 10:00,0.505901642,0.813429748,0.82564,0.348333333,0.677620397,0.616483012 +2018/09/17 11:00,0.539680059,0.862667634,0.822703333,0.223333333,0.673087819,0.622865014 +2018/09/17 12:00,0.580441493,0.861369294,0.824683333,0.038333333,0.684985836,0.55573921 +2018/09/17 13:00,0.682797534,0.83258603,0.822673333,0,0.700283286,0.526400367 +2018/09/17 14:00,0.665392641,0.783310835,0.828543333,0,0.702549575,0.52805326 +2018/09/17 15:00,0.71587587,0.672434354,0.829273333,0,0.688951841,0.531588613 +2018/09/17 16:00,0.701667019,0.462031353,0.833986667,0,0.690651558,0.534940312 +2018/09/17 17:00,0.647060238,0.15418908,0.827166667,0,0.683286119,0.534113866 +2018/09/17 18:00,0.533635131,0.00405443,0.691443333,0.626666667,0.656090652,0.564692378 +2018/09/17 19:00,0.456301208,0,0.672546667,0.845,0.640793201,0.582231405 +2018/09/17 20:00,0.443408374,0,0.653023333,0.401666667,0.607365439,0.583930211 +2018/09/17 21:00,0.435514194,0,0.6368,0.066666667,0.625495751,0.604545455 +2018/09/17 22:00,0.337125918,0,0.313076667,0,0.638526912,0.610881543 +2018/09/17 23:00,0.249035946,0,0.18862,0,0.64305949,0.596051423 +2018/09/18 00:00,0.202083894,0,0.145446667,0,0.660056657,0.547061524 +2018/09/18 01:00,0.185151171,0,0.144216667,0,0.63796034,0.541000918 +2018/09/18 02:00,0.187448071,0,0.143196667,0,0.678753541,0.544719927 +2018/09/18 03:00,0.239858445,0,0.142493333,0,0.706515581,0.550550964 +2018/09/18 04:00,0.274898546,0,0.141536667,0,0.682152975,0.550964187 +2018/09/18 05:00,0.305423703,0,0.012396667,0,0.659490085,0.557438017 +2018/09/18 06:00,0.320572566,0.022005305,0.136526667,0,0.732577904,0.589164371 +2018/09/18 07:00,0.315624399,0.259087363,0.348476667,0.328333333,0.733144476,0.580394858 +2018/09/18 08:00,0.329641401,0.533524173,0.70588,0.545,0.721813031,0.59862259 +2018/09/18 09:00,0.386572489,0.696767038,0.971013333,0.351666667,0.668555241,0.617447199 +2018/09/18 10:00,0.403608109,0.791406128,0.955466667,0.348333333,0.688385269,0.618227732 +2018/09/18 11:00,0.467287572,0.840431695,0.994426667,0.01,0.71898017,0.593572084 +2018/09/18 12:00,0.515892218,0.844427787,0.99649,0,0.72407932,0.568089991 +2018/09/18 13:00,0.554571201,0.819858363,0.99808,0,0.707648725,0.561202938 +2018/09/18 14:00,0.612979382,0.763349365,0.99829,0,0.699716714,0.606014692 +2018/09/18 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04:00,0.311408047,0,0.146676667,0,0.695184136,0.5456382 +2018/09/19 05:00,0.328468189,0,0.018646667,0,0.652124646,0.537327824 +2018/09/19 06:00,0.41164269,0.022528982,0,0,0.716147309,0.583562902 +2018/09/19 07:00,0.468497807,0.252906342,0.00152,0.323333333,0.719546742,0.534435262 +2018/09/19 08:00,0.536873005,0.480337677,0.044393333,0.54,0.699150142,0.48553719 +2018/09/19 09:00,0.569332038,0.645532123,0.13363,0.378333333,0.682719547,0.490541781 +2018/09/19 10:00,0.644103166,0.70388688,0.045526667,0.34,0.68611898,0.495821855 +2018/09/19 11:00,0.735283398,0.786134759,0.07303,0.013333333,0.698016997,0.495913682 +2018/09/19 12:00,0.753835539,0.817891859,0.413506667,0,0.720679887,0.485766758 +2018/09/19 13:00,0.751268416,0.799036759,0.62589,0,0.729745042,0.524747475 +2018/09/19 14:00,0.8165346,0.756171864,0.888896667,0,0.725212465,0.563544536 +2018/09/19 15:00,0.783398565,0.655672607,0.947053333,0,0.722946176,0.578328742 +2018/09/19 16:00,0.778472997,0.464747421,0.916516667,0,0.709915014,0.576124885 +2018/09/19 17:00,0.722891584,0.161265509,0.894086667,0.211666667,0.722379603,0.570247934 +2018/09/19 18:00,0.700191849,0.004487888,0.732563333,0.986666667,0.687818697,0.58241506 +2018/09/19 19:00,0.635510347,0,0.681036667,0.516666667,0.66572238,0.590587695 +2018/09/19 20:00,0.552698388,0,0.64101,0.231666667,0.657223796,0.606841139 +2018/09/19 21:00,0.489102108,0,0.567903333,0,0.682152975,0.61446281 +2018/09/19 22:00,0.440759511,0,0.150876667,0,0.673654391,0.599586777 +2018/09/19 23:00,0.422987268,0,0.116866667,0,0.694050992,0.58292011 +2018/09/20 00:00,0.377076201,0,0,0,0.695750708,0.553535354 +2018/09/20 01:00,0.337885621,0,0,0,0.695184136,0.548576676 +2018/09/20 02:00,0.314522349,0,0,0,0.695184136,0.536271809 +2018/09/20 03:00,0.296842424,0,0,0,0.690651558,0.54476584 +2018/09/20 04:00,0.271399585,0,0,0,0.692917847,0.570523416 +2018/09/20 05:00,0.289350694,0,0,0,0.67592068,0.543755739 +2018/09/20 06:00,0.270898084,0.02456332,0.019523333,0,0.712181303,0.579522498 +2018/09/20 07:00,0.223477228,0.279126164,0.280603333,0.323333333,0.703116147,0.594031221 +2018/09/20 08:00,0.156223314,0.592881515,0.79195,0.545,0.688951841,0.609044995 +2018/09/20 09:00,0.123076701,0.76558449,0.994806667,0.351666667,0.662322946,0.626033058 +2018/09/20 10:00,0.079360118,0.857481736,0.99463,0.35,0.642492918,0.615886134 +2018/09/20 11:00,0.050261569,0.891003195,0.993916667,0.021666667,0.652124646,0.612075298 +2018/09/20 12:00,0.043822364,0.899014374,0.996766667,0,0.652691218,0.609182736 +2018/09/20 13:00,0.066384102,0.872584267,0.996833333,0,0.680453258,0.605050505 +2018/09/20 14:00,0.076904066,0.778015724,0.994666667,0,0.709915014,0.602525253 +2018/09/20 15:00,0.094170481,0.603908587,0.99412,0,0.703116147,0.622543618 +2018/09/20 16:00,0.117549621,0.398025356,0.993013333,0.06,0.710481586,0.62855831 +2018/09/20 17:00,0.151324672,0.132631479,0.6707,0.433333333,0.715014164,0.632323232 +2018/09/20 18:00,0.250422164,0.003371343,0.485763333,0.923333333,0.66572238,0.618503214 +2018/09/20 19:00,0.268432896,0,0.528863333,0.481666667,0.649291785,0.592332415 +2018/09/20 20:00,0.22142026,0,0.61656,0.048333333,0.643626062,0.626859504 +2018/09/20 21:00,0.158175943,0,0.513033333,0,0.660623229,0.624747475 +2018/09/20 22:00,0.132513848,0,0.145756667,0,0.69121813,0.602295684 +2018/09/20 23:00,0.106268031,0,0.14242,0,0.670254958,0.590955005 +2018/09/21 00:00,0.12548419,0,0.142343333,0,0.651558074,0.554040404 +2018/09/21 01:00,0.142233719,0,0.141856667,0,0.728611898,0.518044077 +2018/09/21 02:00,0.186421029,0,0.142493333,0,0.719546742,0.523737374 +2018/09/21 03:00,0.2233325,0,0.141966667,0,0.733144476,0.532506887 +2018/09/21 04:00,0.245226853,0,0.126373333,0,0.76713881,0.533930211 +2018/09/21 05:00,0.191851464,0,0.002876667,0,0.702549575,0.542102847 +2018/09/21 06:00,0.189030946,0.009300701,0,0,0.71898017,0.580716253 +2018/09/21 07:00,0.151829057,0.12404439,0,0.32,0.717847025,0.539256198 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20:00,0.432222949,0,0.390136667,0.396666667,0.650991501,0.553673095 +2018/09/21 21:00,0.392240932,0,0.256356667,0.075,0.666288952,0.551101928 +2018/09/21 22:00,0.366558161,0,0,0,0.668555241,0.550964187 +2018/09/21 23:00,0.360534389,0,0,0,0.714447592,0.539118457 +2018/09/22 00:00,0.376313132,0,0,0,0.733144476,0.488797062 +2018/09/22 01:00,0.396795303,0,0,0,0.728045326,0.475573921 +2018/09/22 02:00,0.412414894,0,0,0,0.728045326,0.478604224 +2018/09/22 03:00,0.427517117,0,0,0,0.75184136,0.485445363 +2018/09/22 04:00,0.416398527,0,0,0,0.732577904,0.4859045 +2018/09/22 05:00,0.407934089,0,0,0,0.718413598,0.483930211 +2018/09/22 06:00,0.392545294,0.01649923,0,0,0.712181303,0.530073462 +2018/09/22 07:00,0.352979671,0.16318385,0,0.318333333,0.717847025,0.554132231 +2018/09/22 08:00,0.287509616,0.377359092,0.08716,0.498333333,0.704815864,0.535169881 +2018/09/22 09:00,0.252836385,0.513135349,0.33824,0.551666667,0.699150142,0.484710744 +2018/09/22 10:00,0.212411047,0.595881128,0.550906667,0.206666667,0.716147309,0.482506887 +2018/09/22 11:00,0.148165654,0.640703708,0.64725,0.018333333,0.720113314,0.504958678 +2018/09/22 12:00,0.099303285,0.649647603,0.657696667,0,0.690084986,0.508769513 +2018/09/22 13:00,0.102356041,0.627600241,0.72796,0,0.683852691,0.492470156 +2018/09/22 14:00,0.153251818,0.535136583,0.719,0,0.68611898,0.488751148 +2018/09/22 15:00,0.206480555,0.428312497,0.77032,0,0.684985836,0.502938476 +2018/09/22 16:00,0.290815767,0.276435873,0.814626667,0,0.683286119,0.497933884 +2018/09/22 17:00,0.368671866,0.102109633,0.773126667,0,0.680453258,0.497933884 +2018/09/22 18:00,0.44708476,0.003733576,0.591733333,0.736666667,0.621529745,0.501423324 +2018/09/22 19:00,0.516549025,0,0.513033333,0.783333333,0.6,0.476629936 +2018/09/22 20:00,0.472990634,0,0.492513333,0.395,0.606798867,0.506519743 +2018/09/22 21:00,0.421972728,0,0.46463,0.023333333,0.671954674,0.526951331 +2018/09/22 22:00,0.41100752,0,0.138806667,0,0.724645892,0.533884298 +2018/09/22 23:00,0.319138747,0,0.00712,0,0.791501416,0.506060606 +2018/09/23 00:00,0.269594569,0,0,0,0.791501416,0.483976125 +2018/09/23 01:00,0.242206793,0,0,0,0.817563739,0.494857668 +2018/09/23 02:00,0.213914105,0,0,0,0.764305949,0.500964187 +2018/09/23 03:00,0.209175097,0,0,0,0.788668555,0.506336088 +2018/09/23 04:00,0.204463977,0,0,0,0.764872521,0.506198347 +2018/09/23 05:00,0.228874005,0,0,0,0.763739377,0.505280073 +2018/09/23 06:00,0.282523464,0.020274863,0,0,0.741076487,0.530899908 +2018/09/23 07:00,0.265863369,0.210778801,0.018156667,0.353333333,0.739943343,0.571717172 +2018/09/23 08:00,0.182623957,0.44943664,0.505323333,0.545,0.747875354,0.572727273 +2018/09/23 09:00,0.154261069,0.636809366,0.891203333,0.35,0.74674221,0.556152433 +2018/09/23 10:00,0.147018406,0.731700798,0.733656667,0.348333333,0.740509915,0.564416896 +2018/09/23 11:00,0.17079038,0.765303658,0.77518,0.01,0.733711048,0.563728191 +2018/09/23 12:00,0.198135843,0.803010467,0.82147,0,0.732577904,0.564049587 +2018/09/23 13:00,0.197140535,0.792746525,0.611423333,0,0.736543909,0.568595041 +2018/09/23 14:00,0.237337481,0.698452031,0.370106667,0,0.734844193,0.574701561 +2018/09/23 15:00,0.283277878,0.518115711,0.185493333,0,0.729745042,0.568273646 +2018/09/23 16:00,0.309704485,0.257778848,0.145016667,0,0.722946176,0.568732782 +2018/09/23 17:00,0.349547063,0.064541206,0.308253333,0,0.720113314,0.567998163 +2018/09/23 18:00,0.36887814,0.001836941,0.3018,0.535,0.662322946,0.57805326 +2018/09/23 19:00,0.353639362,0,0.299263333,0.696666667,0.650424929,0.568732782 +2018/09/23 20:00,0.302084375,0,0.296983333,0.625,0.652691218,0.56620753 +2018/09/23 21:00,0.306641632,0,0.078253333,0.058333333,0.674220963,0.567860422 +2018/09/23 22:00,0.318550698,0,0,0,0.728611898,0.57369146 +2018/09/23 23:00,0.329359638,0,0,0,0.795467422,0.571992654 +2018/09/24 00:00,0.339984421,0,0,0,0.778470255,0.534986226 +2018/09/24 01:00,0.332773974,0,0,0,0.792634561,0.507713499 +2018/09/24 02:00,0.2798972,0,0,0,0.785269122,0.506887052 +2018/09/24 03:00,0.248103147,0,0,0,0.80509915,0.511248852 +2018/09/24 04:00,0.240365234,0,0,0,0.797167139,0.517814509 +2018/09/24 05:00,0.276394392,0,0,0,0.711048159,0.518135904 +2018/09/24 06:00,0.249780263,0.00730028,0,0.105,0.721813031,0.559825528 +2018/09/24 07:00,0.220493711,0.079864197,0,0.3,0.726345609,0.569742883 +2018/09/24 08:00,0.180426107,0.218668557,0,0.463333333,0.710481586,0.564784206 +2018/09/24 09:00,0.178286918,0.361623671,0.002176667,0.433333333,0.698583569,0.559871442 +2018/09/24 10:00,0.142365946,0.531137099,0.072626667,0.348333333,0.700283286,0.561157025 +2018/09/24 11:00,0.144161346,0.593814909,0.135393333,0.045,0.702549575,0.558769513 +2018/09/24 12:00,0.197824268,0.538650377,0.13972,0,0.706515581,0.555922865 +2018/09/24 13:00,0.288165942,0.433696471,0.203873333,0,0.694617564,0.533930211 +2018/09/24 14:00,0.309512636,0.319284488,0.156766667,0,0.69631728,0.534067952 +2018/09/24 15:00,0.3626981,0.254637462,0.167156667,0,0.709348442,0.54862259 +2018/09/24 16:00,0.336657595,0.139083836,0.013163333,0,0.715580737,0.555325987 +2018/09/24 17:00,0.229895757,0.040706422,0.072666667,0.113333333,0.721246459,0.528420569 +2018/09/24 18:00,0.203856214,0.001578494,0.08379,0.981666667,0.656090652,0.539439853 +2018/09/24 19:00,0.227701273,0,0.024216667,0.578333333,0.61529745,0.548393021 +2018/09/24 20:00,0.221847232,0,0,0.331666667,0.598866856,0.562213039 +2018/09/24 21:00,0.290074816,0,0,0,0.630594901,0.540128558 +2018/09/24 22:00,0.299676405,0,0,0,0.644759207,0.537419651 +2018/09/24 23:00,0.322267473,0,0,0,0.684985836,0.55312213 +2018/09/25 00:00,0.374611013,0,0,0,0.703116147,0.493985308 +2018/09/25 01:00,0.404490903,0,0,0,0.701416431,0.489944904 +2018/09/25 02:00,0.47548419,0,0,0,0.694617564,0.508218549 +2018/09/25 03:00,0.562696657,0,0,0,0.684985836,0.523599633 +2018/09/25 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08:00,0.100814036,0.554077154,0.773723333,0.365,0.706515581,0.577823691 +2018/09/27 09:00,0.116624034,0.709306127,0.870523333,0.26,0.703116147,0.576629936 +2018/09/27 10:00,0.152820518,0.7766292,0.883806667,0.201666667,0.695184136,0.515886134 +2018/09/27 11:00,0.156848867,0.8192716,0.902916667,0.203333333,0.698016997,0.53953168 +2018/09/27 12:00,0.181798861,0.832792924,0.902933333,0.201666667,0.707648725,0.550826446 +2018/09/27 13:00,0.216211967,0.812101561,0.87928,0.02,0.71898017,0.518273646 +2018/09/27 14:00,0.20756193,0.765814447,0.958943333,0,0.720679887,0.52805326 +2018/09/27 15:00,0.204962111,0.652729974,0.987623333,0,0.723512748,0.556703398 +2018/09/27 16:00,0.18910355,0.460300911,0.989896667,0,0.725779037,0.481588613 +2018/09/27 17:00,0.181855118,0.173278207,0.926003333,0.126666667,0.731444759,0.554591368 +2018/09/27 18:00,0.176570374,0.005923931,0.742723333,0.735,0.69631728,0.567676768 +2018/09/27 19:00,0.254791418,0,0.669043333,0.781666667,0.694050992,0.539944904 +2018/09/27 20:00,0.272167942,0,0.660976667,0.39,0.68611898,0.533930211 +2018/09/27 21:00,0.260315613,0,0.63022,0.076666667,0.681586402,0.556473829 +2018/09/27 22:00,0.207577797,0,0.334236667,0,0.682152975,0.533884298 +2018/09/27 23:00,0.194145478,0,0.20094,0,0.726912181,0.534527089 +2018/09/28 00:00,0.217091395,0,0.14086,0,0.713314448,0.530119376 +2018/09/28 01:00,0.298847944,0,0.021903333,0,0.70878187,0.526675849 +2018/09/28 02:00,0.370801919,0,0,0,0.706515581,0.515610652 +2018/09/28 03:00,0.403730238,0,0,0,0.702549575,0.512121212 +2018/09/28 04:00,0.392934762,0,0,0,0.700283286,0.534618916 +2018/09/28 05:00,0.384648709,8.14E-06,0.095186667,0,0.692917847,0.527869605 +2018/09/28 06:00,0.402150729,0.046180614,0.300293333,0,0.722379603,0.52681359 +2018/09/28 07:00,0.484989133,0.335608707,0.334786667,0.351666667,0.712747875,0.532736455 +2018/09/28 08:00,0.613055833,0.594000095,0.889403333,0.55,0.705382436,0.545316804 +2018/09/28 09:00,0.692850137,0.738757555,0.997706667,0.541666667,0.704249292,0.547566575 +2018/09/28 10:00,0.763197196,0.843241373,0.997543333,0.346666667,0.715014164,0.530394858 +2018/09/28 11:00,0.811838385,0.88264335,0.99465,0.003333333,0.705382436,0.500367309 +2018/09/28 12:00,0.791692311,0.886892463,0.997286667,0,0.700849858,0.430165289 +2018/09/28 13:00,0.795525926,0.873390811,0.99537,0,0.700283286,0.434710744 +2018/09/28 14:00,0.760756049,0.808513828,0.995233333,0,0.703116147,0.441689624 +2018/09/28 15:00,0.751029927,0.69273635,0.839293333,0,0.715014164,0.511616162 +2018/09/28 16:00,0.712813017,0.488879317,0.84139,0,0.699150142,0.489256198 +2018/09/28 17:00,0.605205408,0.185300402,0.927226667,0.001666667,0.698016997,0.47144169 +2018/09/28 18:00,0.538401066,0.006889885,0.75094,0.661666667,0.555807365,0.524609734 +2018/09/28 19:00,0.506265146,0,0.692923333,0.835,0.542209632,0.532093664 +2018/09/28 20:00,0.485564681,0,0.671606667,0.426666667,0.569405099,0.53067034 +2018/09/28 21:00,0.475894334,0,0.644113333,0.036666667,0.649291785,0.530440771 +2018/09/28 22:00,0.467551544,0,0.346133333,0,0.645892351,0.530716253 +2018/09/28 23:00,0.464865658,0,0.219763333,0,0.674220963,0.531680441 +2018/09/29 00:00,0.477871004,0,0.143856667,0,0.691784703,0.534022039 +2018/09/29 01:00,0.472814652,0,0.145036667,0,0.690084986,0.55661157 +2018/09/29 02:00,0.453361926,0,0.145763333,0,0.700849858,0.545730028 +2018/09/29 03:00,0.435456014,0,0.14555,0,0.683852691,0.545362718 +2018/09/29 04:00,0.426645863,0,0.0803,0,0.682152975,0.544352617 +2018/09/29 05:00,0.464459842,1.36E-05,0.130236667,0,0.68611898,0.544123049 +2018/09/29 06:00,0.45734604,0.052139141,0.2943,0,0.669121813,0.55087236 +2018/09/29 07:00,0.377356041,0.35718598,0.39105,0.295,0.678753541,0.552938476 +2018/09/29 08:00,0.294741701,0.617642909,0.93474,0.351666667,0.672521246,0.553305785 +2018/09/29 09:00,0.27708149,0.772599868,0.995483333,0.353333333,0.68101983,0.556703398 +2018/09/29 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02:00,0.426980998,0,0,0,0.660623229,0.506152433 +2018/10/02 03:00,0.482809074,0,0,0,0.66572238,0.511707989 +2018/10/02 04:00,0.478477324,0,0,0,0.653824363,0.505004591 +2018/10/02 05:00,0.513592434,7.19E-05,0,0,0.620963173,0.475160698 +2018/10/02 06:00,0.513169789,0.042824873,0,0,0.700283286,0.524839302 +2018/10/02 07:00,0.535696907,0.276082459,0.00699,0.191666667,0.715014164,0.513039486 +2018/10/02 08:00,0.534250587,0.544184264,0.253523333,0.501666667,0.712747875,0.50661157 +2018/10/02 09:00,0.61270964,0.713541674,0.60266,0.55,0.711048159,0.50748393 +2018/10/02 10:00,0.665075297,0.81643411,0.865413333,0.355,0.715580737,0.514600551 +2018/10/02 11:00,0.764285783,0.851902401,0.958893333,0.046666667,0.707648725,0.514508724 +2018/10/02 12:00,0.796089933,0.858024407,0.887273333,0,0.709348442,0.513498623 +2018/10/02 13:00,0.825130784,0.826187262,0.987593333,0,0.707082153,0.510422406 +2018/10/02 14:00,0.865029138,0.762451923,0.988526667,0,0.705949008,0.509504132 +2018/10/02 15:00,0.907634535,0.637242825,0.956383333,0,0.686685552,0.509917355 +2018/10/02 16:00,0.914667077,0.423235133,0.922106667,0,0.657223796,0.510927456 +2018/10/02 17:00,0.914207889,0.136784268,0.82854,0.036666667,0.650424929,0.512580349 +2018/10/02 18:00,0.880406393,0.006106404,0.668176667,0.615,0.637393768,0.51322314 +2018/10/02 19:00,0.862661557,0,0.62497,0.83,0.628328612,0.510560147 +2018/10/02 20:00,0.821192349,0,0.62101,0.466666667,0.654957507,0.50835629 +2018/10/02 21:00,0.749814882,0,0.61254,0.146666667,0.662889518,0.508861341 +2018/10/02 22:00,0.749239335,0,0.275966667,0,0.614164306,0.508264463 +2018/10/02 23:00,0.783772647,0,0.136556667,0,0.640226629,0.503168044 +2018/10/03 00:00,0.750896257,0,0.136076667,0,0.644759207,0.461294766 +2018/10/03 01:00,0.713703985,0,0.135803333,0,0.650424929,0.450183655 +2018/10/03 02:00,0.670410528,0,0.088406667,0,0.656657224,0.453305785 +2018/10/03 03:00,0.662488941,0,0,0,0.669688385,0.46097337 +2018/10/03 04:00,0.61003962,0,0,0,0.662322946,0.462672176 +2018/10/03 05:00,0.579548121,0.000118031,0,0,0.636827195,0.468227732 +2018/10/03 06:00,0.533583202,0.060378242,0.093563333,0,0.708215297,0.507392103 +2018/10/03 07:00,0.510159826,0.356880049,0.37506,0.258333333,0.725212465,0.512993572 +2018/10/03 08:00,0.538560218,0.634908662,0.627813333,0.55,0.722946176,0.507667585 +2018/10/03 09:00,0.54274724,0.808543675,0.623876667,0.55,0.715014164,0.505601469 +2018/10/03 10:00,0.522465092,0.896152463,0.7931,0.24,0.709348442,0.505509642 +2018/10/03 11:00,0.493224699,0.938032411,0.819266667,0.055,0.70368272,0.494077135 +2018/10/03 12:00,0.48062036,0.944297546,0.820416667,0,0.711048159,0.486822773 +2018/10/03 13:00,0.506056949,0.922275962,0.823713333,0,0.712181303,0.493847567 +2018/10/03 14:00,0.533659653,0.857368453,0.824906667,0,0.709348442,0.499357208 +2018/10/03 15:00,0.533410105,0.733715464,0.809343333,0,0.713314448,0.489669421 +2018/10/03 16:00,0.539927203,0.504489245,0.904576667,0,0.717280453,0.486179982 +2018/10/03 17:00,0.531375255,0.193100618,0.893216667,0.151666667,0.720679887,0.48728191 +2018/10/03 18:00,0.505154441,0.0088028,0.71597,0.803333333,0.565439093,0.48989899 +2018/10/03 19:00,0.427230546,0,0.671843333,0.788333333,0.650991501,0.480211203 +2018/10/03 20:00,0.439312228,0,0.64243,0.356666667,0.653824363,0.473875115 +2018/10/03 21:00,0.442497692,0,0.63536,0,0.641926346,0.48953168 +2018/10/03 22:00,0.45766098,0,0.33035,0,0.61529745,0.488934803 +2018/10/03 23:00,0.463905931,0,0.154796667,0,0.642492918,0.475206612 +2018/10/04 00:00,0.441858676,0,0.140196667,0,0.635694051,0.435123967 +2018/10/04 01:00,0.445447071,0,0.13947,0,0.641926346,0.428099174 +2018/10/04 02:00,0.430523714,0,0.1393,0,0.643626062,0.430257117 +2018/10/04 03:00,0.43078961,0,0.139246667,0,0.624929178,0.436179982 +2018/10/04 04:00,0.438843424,0,0.139516667,0,0.609631728,0.44389348 +2018/10/04 05:00,0.42691801,2.24E-05,0.075943333,0,0.585835694,0.460697888 +2018/10/04 06:00,0.415896546,0.062487196,0.073556667,0,0.697450425,0.478236915 +2018/10/04 07:00,0.377797919,0.362353564,0.415623333,0.333333333,0.745609065,0.478971534 +2018/10/04 08:00,0.316933685,0.611735258,0.907066667,0.551666667,0.746175637,0.466574839 +2018/10/04 09:00,0.298519541,0.759384476,0.990333333,0.551666667,0.740509915,0.470385675 +2018/10/04 10:00,0.297318441,0.846448558,0.99344,0.285,0.732011331,0.465886134 +2018/10/04 11:00,0.293029965,0.845872649,0.991693333,0.001666667,0.728045326,0.463406795 +2018/10/04 12:00,0.285155018,0.841497365,0.991696667,0,0.717847025,0.454086318 +2018/10/04 13:00,0.272808401,0.849615043,0.994123333,0,0.725779037,0.444582185 +2018/10/04 14:00,0.28475401,0.785096222,0.992173333,0,0.726912181,0.448668503 +2018/10/04 15:00,0.342318825,0.673125581,0.992156667,0,0.732577904,0.46097337 +2018/10/04 16:00,0.395175405,0.477875308,0.97415,0,0.733144476,0.461019284 +2018/10/04 17:00,0.457939378,0.186022155,0.912513333,0.176666667,0.725779037,0.446786042 +2018/10/04 18:00,0.54431569,0.008250633,0.733056667,0.785,0.68101983,0.455371901 +2018/10/04 19:00,0.535050198,0,0.7013,0.831666667,0.674787535,0.45174472 +2018/10/04 20:00,0.524972112,0,0.681006667,0.238333333,0.667988669,0.450964187 +2018/10/04 21:00,0.474497538,0,0.648423333,0,0.665155807,0.450413223 +2018/10/04 22:00,0.41978786,0,0.325956667,0,0.601133144,0.466253444 +2018/10/04 23:00,0.393129496,0,0.166643333,0,0.615864023,0.484481175 +2018/10/05 00:00,0.365072893,0,0.140663333,0,0.661189802,0.452387511 +2018/10/05 01:00,0.365052698,0,0.140596667,0,0.673654391,0.413039486 +2018/10/05 02:00,0.367439512,0,0.140736667,0,0.674220963,0.436501377 +2018/10/05 03:00,0.355819421,0,0.141663333,0,0.672521246,0.464600551 +2018/10/05 04:00,0.338011597,0,0.14178,0,0.672521246,0.452157943 +2018/10/05 05:00,0.305225603,0.000160088,0.2531,0,0.579036827,0.459779614 +2018/10/05 06:00,0.307008501,0.069036556,0.279496667,0,0.626628895,0.503719008 +2018/10/05 07:00,0.271165423,0.368607846,0.36657,0.331666667,0.709348442,0.482323232 +2018/10/05 08:00,0.195131169,0.621356813,0.89341,0.551666667,0.709915014,0.487373737 +2018/10/05 09:00,0.184145767,0.766743093,0.98257,0.54,0.702549575,0.501331497 +2018/10/05 10:00,0.175889045,0.846025953,0.99234,0.208333333,0.661756374,0.501193756 +2018/10/05 11:00,0.16644709,0.880745358,0.993126667,0.008333333,0.086685552,0.500596878 +2018/10/05 12:00,0.123759953,0.882696939,0.993693333,0,0.289518414,0.502846648 +2018/10/05 13:00,0.105197234,0.850907956,0.994136667,0,0.305382436,0.495316804 +2018/10/05 14:00,0.101327557,0.787435134,0.988456667,0,0.641359773,0.502112029 +2018/10/05 15:00,0.123462803,0.668797102,0.97319,0,0.661756374,0.476492195 +2018/10/05 16:00,0.133391353,0.461937064,0.9538,0,0.668555241,0.481910009 +2018/10/05 17:00,0.141904354,0.17495913,0.905453333,0.068333333,0.668555241,0.48292011 +2018/10/05 18:00,0.189296361,0.008171945,0.73659,0.765,0.668555241,0.482369146 +2018/10/05 19:00,0.203795149,0,0.697233333,0.821666667,0.667988669,0.483700643 +2018/10/05 20:00,0.182507116,0,0.67376,0.441666667,0.644759207,0.484710744 +2018/10/05 21:00,0.177840232,0,0.648476667,0,0.640793201,0.485169881 +2018/10/05 22:00,0.168858907,0,0.328376667,0,0.633427762,0.474747475 +2018/10/05 23:00,0.128905739,0,0.152463333,0,0.656090652,0.461478421 +2018/10/06 00:00,0.110421876,0,0.140426667,0,0.650424929,0.417217631 +2018/10/06 01:00,0.107648479,0,0.139743333,0,0.658356941,0.409871442 +2018/10/06 02:00,0.093634362,0,0.140086667,0,0.668555241,0.411570248 +2018/10/06 03:00,0.11085606,0,0.142466667,0,0.67592068,0.419651056 +2018/10/06 04:00,0.123060353,0,0.14368,0,0.679320113,0.417722681 +2018/10/06 05:00,0.138906412,0.000211642,0.24273,0,0.646458924,0.424426079 +2018/10/06 06:00,0.149800458,0.072204397,0.246403333,0,0.637393768,0.468549128 +2018/10/06 07:00,0.176520368,0.37149282,0.31685,0.348333333,0.62776204,0.473048669 +2018/10/06 08:00,0.141922626,0.61547019,0.83328,0.351666667,0.64305949,0.463820018 +2018/10/06 09:00,0.136850887,0.755820484,0.982553333,0.353333333,0.646458924,0.458218549 +2018/10/06 10:00,0.151570854,0.83595059,0.98866,0.21,0.662889518,0.459458219 +2018/10/06 11:00,0.185256472,0.868655329,0.98843,0.201666667,0.673087819,0.453764922 +2018/10/06 12:00,0.212571162,0.870277915,0.9882,0.196666667,0.627195467,0.459320478 +2018/10/06 13:00,0.245692772,0.81115053,0.978393333,0,0.623796034,0.469421488 +2018/10/06 14:00,0.29021714,0.724871285,0.936276667,0,0.628895184,0.456382002 +2018/10/06 15:00,0.353318171,0.61708735,0.83208,0,0.628328612,0.438934803 +2018/10/06 16:00,0.396980902,0.406171525,0.91462,0,0.635127479,0.469834711 +2018/10/06 17:00,0.429888545,0.165073701,0.81992,0.025,0.630594901,0.459504132 +2018/10/06 18:00,0.446680386,0.008064768,0.68589,0.725,0.592067989,0.456795225 +2018/10/06 19:00,0.454923645,0,0.65684,0.841666667,0.584135977,0.446051423 +2018/10/06 20:00,0.460466111,0,0.6349,0.49,0.574504249,0.448347107 +2018/10/06 21:00,0.428223449,0,0.622836667,0.011666667,0.568838527,0.449908173 +2018/10/06 22:00,0.375078855,0,0.22956,0,0.613031161,0.450642792 +2018/10/06 23:00,0.30173722,0,0.144043333,0,0.646458924,0.441092746 +2018/10/07 00:00,0.260519483,0,0.142813333,0,0.662889518,0.406290174 +2018/10/07 01:00,0.230256376,0,0.140646667,0,0.64305949,0.395270891 +2018/10/07 02:00,0.232493653,0,0.138393333,0,0.620963173,0.39775023 +2018/10/07 03:00,0.227578663,0,0.139153333,0,0.631161473,0.404683196 +2018/10/07 04:00,0.183050448,0,0.14269,0,0.635694051,0.381910009 +2018/10/07 05:00,0.168059776,0.000253699,0.052476667,0,0.616430595,0.358034894 +2018/10/07 06:00,0.168914202,0.073061817,0,0,0.611898017,0.363820018 +2018/10/07 07:00,0.140186848,0.357877207,0.070223333,0.31,0.618696884,0.421395776 +2018/10/07 08:00,0.173068046,0.598741004,0.77303,0.353333333,0.614164306,0.435215794 +2018/10/07 09:00,0.242285648,0.748716923,0.97908,0.351666667,0.619830028,0.431083563 +2018/10/07 10:00,0.267005808,0.827415055,0.991806667,0.228333333,0.636260623,0.407575758 +2018/10/07 11:00,0.296413048,0.859512682,0.99106,0.201666667,0.626628895,0.461753903 +2018/10/07 12:00,0.316642305,0.845099343,0.990643333,0.201666667,0.642492918,0.460055096 +2018/10/07 13:00,0.325585644,0.782873985,0.98844,0.011666667,0.656657224,0.463544536 +2018/10/07 14:00,0.341490364,0.739726901,0.98152,0,0.655524079,0.46010101 +2018/10/07 15:00,0.370988479,0.619470353,0.965443333,0,0.652124646,0.469100092 +2018/10/07 16:00,0.38371639,0.432279421,0.923853333,0,0.652124646,0.467906336 +2018/10/07 17:00,0.442276032,0.141048983,0.84452,0.005,0.70368272,0.468227732 +2018/10/07 18:00,0.462148517,0.00837002,0.675966667,0.706666667,0.645892351,0.472176309 +2018/10/07 19:00,0.493905547,0,0.66701,0.838333333,0.634560907,0.468365473 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09:00,0.106674328,0.738596789,0.745183333,0.351666667,0.709348442,0.553305785 +2018/10/08 10:00,0.097927645,0.819596524,0.73049,0.238333333,0.715014164,0.567309458 +2018/10/08 11:00,0.085359849,0.844098793,0.467566667,0.201666667,0.711048159,0.55959596 +2018/10/08 12:00,0.075760665,0.838597467,0.39391,0.201666667,0.71388102,0.565702479 +2018/10/08 13:00,0.090251279,0.80348259,0.468836667,0.065,0.710481586,0.551836547 +2018/10/08 14:00,0.119977305,0.743755554,0.545026667,0,0.710481586,0.533471074 +2018/10/08 15:00,0.140761915,0.58890238,0.56472,0,0.717280453,0.553213958 +2018/10/08 16:00,0.153717256,0.392224204,0.533733333,0,0.721813031,0.554591368 +2018/10/08 17:00,0.194899411,0.15890489,0.561096667,0.081666667,0.728045326,0.523783287 +2018/10/08 18:00,0.234565527,0.008113608,0.42772,0.738333333,0.684419263,0.52979798 +2018/10/08 19:00,0.174815363,0,0.35618,0.851666667,0.674220963,0.536225895 +2018/10/08 20:00,0.109431858,0,0.343713333,0.44,0.675354108,0.502066116 +2018/10/08 21:00,0.126062623,0,0.22046,0.028333333,0.671388102,0.525206612 +2018/10/08 22:00,0.115804227,0,0.01233,0,0.667422096,0.537741047 +2018/10/08 23:00,0.101301592,0,0,0,0.656657224,0.522451791 +2018/10/09 00:00,0.100046159,0,0,0,0.676487252,0.474747475 +2018/10/09 01:00,0.172730988,0,0,0,0.688951841,0.468181818 +2018/10/09 02:00,0.144554179,0,0,0,0.635694051,0.467125803 +2018/10/09 03:00,0.110967612,0,0,0,0.644759207,0.456887052 +2018/10/09 04:00,0.105366485,0,0,0,0.667988669,0.46359045 +2018/10/09 05:00,0.090071931,0.000373086,0,0,0.652124646,0.474012856 +2018/10/09 06:00,0.08909153,0.074128844,0,0,0.699150142,0.486317723 +2018/10/09 07:00,0.100490922,0.345917419,0.006216667,0.32,0.711614731,0.528191001 +2018/10/09 08:00,0.122316517,0.56869603,0.225546667,0.351666667,0.702549575,0.531450872 +2018/10/09 09:00,0.135863273,0.706944152,0.715186667,0.351666667,0.698583569,0.529522498 +2018/10/09 10:00,0.155874716,0.795423249,0.838306667,0.22,0.69631728,0.514187328 +2018/10/09 11:00,0.207874947,0.808673238,0.736843333,0.201666667,0.700283286,0.517814509 +2018/10/09 12:00,0.283365869,0.784708213,0.694086667,0.353333333,0.70368272,0.480394858 +2018/10/09 13:00,0.327127649,0.709294596,0.71526,0.015,0.699716714,0.49600551 +2018/10/09 14:00,0.33961082,0.620086285,0.628956667,0,0.693484419,0.50697888 +2018/10/09 15:00,0.348758991,0.523227671,0.602983333,0,0.694050992,0.510881543 +2018/10/09 16:00,0.372329019,0.370739186,0.633893333,0,0.69631728,0.501928375 +2018/10/09 17:00,0.376379486,0.132662004,0.67019,0.095,0.698016997,0.493663912 +2018/10/09 18:00,0.338925645,0.007593322,0.624526667,0.713333333,0.660623229,0.488980716 +2018/10/09 19:00,0.306008386,0,0.556716667,0.851666667,0.647592068,0.494214876 +2018/10/09 20:00,0.339543024,0,0.462136667,0.458333333,0.644759207,0.498760331 +2018/10/09 21:00,0.336132054,0,0.39136,0,0.640226629,0.498301194 +2018/10/09 22:00,0.294361369,0,0.0904,0,0.640793201,0.501469238 +2018/10/09 23:00,0.24552256,0,0.07831,0,0.656090652,0.492102847 +2018/10/10 00:00,0.239643036,0,0.07765,0,0.666855524,0.455647383 +2018/10/10 01:00,0.223524349,0,0.077036667,0,0.666288952,0.44476584 +2018/10/10 02:00,0.185860869,0,0.076896667,0,0.671388102,0.443572084 +2018/10/10 03:00,0.160298304,0,0.067043333,0,0.666288952,0.442240588 +2018/10/10 04:00,0.125593338,0,0.00075,0,0.666855524,0.455555556 +2018/10/10 05:00,0.122724737,0.000389366,0,0,0.644759207,0.477134986 +2018/10/10 06:00,0.136576336,0.076606815,0,0,0.728611898,0.51271809 +2018/10/10 07:00,0.136396988,0.354151093,0.085033333,0.331666667,0.735410765,0.509504132 +2018/10/10 08:00,0.197695407,0.588335968,0.68852,0.351666667,0.72917847,0.473094582 +2018/10/10 09:00,0.2220035,0.712960338,0.816426667,0.351666667,0.721813031,0.474931129 +2018/10/10 10:00,0.245416298,0.789641091,0.734776667,0.208333333,0.687818697,0.482139578 +2018/10/10 11:00,0.257910528,0.847993814,0.73255,0.201666667,0.68101983,0.473966942 +2018/10/10 12:00,0.285571412,0.83701626,0.72912,0.201666667,0.695184136,0.452341598 +2018/10/10 13:00,0.350263492,0.77747441,0.642783333,0.01,0.705382436,0.458172635 +2018/10/10 14:00,0.389317998,0.689721135,0.710123333,0,0.71388102,0.465381084 +2018/10/10 15:00,0.414273282,0.553169537,0.704163333,0,0.736543909,0.491414141 +2018/10/10 16:00,0.44001279,0.385832898,0.716043333,0,0.749575071,0.487603306 +2018/10/10 17:00,0.428741778,0.13465632,0.748923333,0.088333333,0.747875354,0.485399449 +2018/10/10 18:00,0.39626303,0.007135444,0.623383333,0.775,0.703116147,0.492607897 +2018/10/10 19:00,0.335039139,0,0.60577,0.845,0.684985836,0.490495868 +2018/10/10 20:00,0.298150748,0,0.573653333,0.43,0.673654391,0.476170799 +2018/10/10 21:00,0.308642824,0,0.568213333,0,0.671388102,0.470064279 +2018/10/10 22:00,0.263737643,0,0.262736667,0,0.72917847,0.473921028 +2018/10/10 23:00,0.263286629,0,0.091543333,0,0.714447592,0.444811754 +2018/10/11 00:00,0.264032869,0,0.07638,0,0.74674221,0.42020202 +2018/10/11 01:00,0.236455649,0,0.07603,0,0.735410765,0.419605142 +2018/10/11 02:00,0.233271627,0,0.075383333,0,0.745609065,0.425711662 +2018/10/11 03:00,0.259588126,0,0.075116667,0,0.728611898,0.429706152 +2018/10/11 04:00,0.245794226,0,0.075543333,0,0.711048159,0.430440771 +2018/10/11 05:00,0.27260405,0.000567091,0.037243333,0,0.650991501,0.441965106 +2018/10/11 06:00,0.249236931,0.06893277,0,0,0.717847025,0.459687787 +2018/10/11 07:00,0.207932165,0.336521073,0.175376667,0.338333333,0.712181303,0.463360882 +2018/10/11 08:00,0.244716217,0.561841418,0.6471,0.351666667,0.704815864,0.497933884 +2018/10/11 09:00,0.236616244,0.708359167,0.77694,0.351666667,0.703116147,0.49651056 +2018/10/11 10:00,0.331462284,0.792092607,0.85301,0.211666667,0.698016997,0.489072544 +2018/10/11 11:00,0.413107282,0.836088971,0.817186667,0.201666667,0.692351275,0.483241506 +2018/10/11 12:00,0.478962957,0.828506502,0.902403333,0.201666667,0.695184136,0.481313131 +2018/10/11 13:00,0.5638641,0.774170901,0.90441,0.003333333,0.695750708,0.466942149 +2018/10/11 14:00,0.638684752,0.70537719,0.90055,0,0.694617564,0.46584022 +2018/10/11 15:00,0.721706832,0.568109945,0.893156667,0,0.700283286,0.463269054 +2018/10/11 16:00,0.772436723,0.393202369,0.85294,0,0.70878187,0.459182736 +2018/10/11 17:00,0.793539158,0.150124475,0.79333,0.101666667,0.711048159,0.459182736 +2018/10/11 18:00,0.739197311,0.008481268,0.630706667,0.705,0.684985836,0.46097337 +2018/10/11 19:00,0.676421318,0,0.58713,0.845,0.682152975,0.462350781 +2018/10/11 20:00,0.625842886,0,0.5729,0.463333333,0.658356941,0.451056015 +2018/10/11 21:00,0.572017925,0,0.559486667,0,0.664589235,0.449357208 +2018/10/11 22:00,0.509762184,0,0.21418,0,0.662889518,0.447842057 +2018/10/11 23:00,0.503382121,0,0.095443333,0,0.695184136,0.424426079 +2018/10/12 00:00,0.465580644,0,0.076223333,0,0.716147309,0.391827365 +2018/10/12 01:00,0.405344847,0,0.075936667,0,0.719546742,0.391965106 +2018/10/12 02:00,0.41118831,0,0.075953333,0,0.715014164,0.398163453 +2018/10/12 03:00,0.485317056,0,0.075976667,0,0.71388102,0.402112029 +2018/10/12 04:00,0.451380929,0,0.076226667,0,0.698583569,0.40224977 +2018/10/12 05:00,0.441546621,0.000482299,0.03484,0,0.658923513,0.399357208 +2018/10/12 06:00,0.397590107,0.052199513,0,0,0.720113314,0.419834711 +2018/10/12 07:00,0.406103589,0.223132025,0,0.338333333,0.71388102,0.451331497 +2018/10/12 08:00,0.395383602,0.395976095,0,0.538333333,0.70368272,0.453076217 +2018/10/12 09:00,0.357961976,0.455209301,0,0.551666667,0.704249292,0.439210285 +2018/10/12 10:00,0.401922337,0.51676039,0,0.211666667,0.703116147,0.386547291 +2018/10/12 11:00,0.427368062,0.545491422,0,0.01,0.705382436,0.388429752 +2018/10/12 12:00,0.437683194,0.433286754,0,0,0.705949008,0.423783287 +2018/10/12 13:00,0.424740355,0.374384577,0,0,0.711614731,0.42405877 +2018/10/12 14:00,0.43679463,0.287564018,0,0,0.715014164,0.427548209 +2018/10/12 15:00,0.448403181,0.252335859,0,0,0.721246459,0.421671258 +2018/10/12 16:00,0.5042327,0.146534707,0,0,0.728611898,0.415105601 +2018/10/12 17:00,0.486367658,0.049210753,0.04465,0.125,0.72917847,0.414141414 +2018/10/12 18:00,0.455180886,0.003699659,0.235036667,0.673333333,0.682719547,0.411753903 +2018/10/12 19:00,0.468705524,0,0.146343333,0.735,0.662889518,0.412672176 +2018/10/12 20:00,0.396640959,0,0,0.49,0.653824363,0.413314968 +2018/10/12 21:00,0.459434262,0,0,0.073333333,0.653824363,0.399724518 +2018/10/12 22:00,0.497384314,0,0,0,0.654957507,0.409136823 +2018/10/12 23:00,0.495320614,0,0,0,0.67082153,0.385215794 +2018/10/13 00:00,0.556427184,0,0,0,0.667988669,0.348989899 +2018/10/13 01:00,0.622649248,0,0,0,0.664589235,0.332966024 +2018/10/13 02:00,0.65945686,0,0,0,0.658923513,0.355509642 +2018/10/13 03:00,0.703192676,0,0,0,0.657790368,0.375665748 +2018/10/13 04:00,0.691449494,0,0,0,0.666855524,0.34775023 +2018/10/13 05:00,0.686744624,0.000130241,0,0,0.540509915,0.346786042 +2018/10/13 06:00,0.672019848,0.027206805,0,0,0.512747875,0.350413223 +2018/10/13 07:00,0.644702754,0.118165908,0,0.343333333,0.66572238,0.276170799 +2018/10/13 08:00,0.68722593,0.237187201,0,0.338333333,0.666288952,0.449724518 +2018/10/13 09:00,0.702004558,0.366410707,0.074133333,0.456666667,0.667422096,0.442745638 +2018/10/13 10:00,0.678633592,0.492905935,0.417596667,0.045,0.663456091,0.444811754 +2018/10/13 11:00,0.628743701,0.576884255,0.519396667,0,0.669688385,0.431910009 +2018/10/13 12:00,0.580187618,0.58673034,0.2925,0,0.669121813,0.407897153 +2018/10/13 13:00,0.592328923,0.555650221,0.350513333,0,0.674220963,0.406887052 +2018/10/13 14:00,0.654450994,0.47709454,0.32909,0,0.679320113,0.420247934 +2018/10/13 15:00,0.660510347,0.391759543,0.60324,0,0.670254958,0.344168962 +2018/10/13 16:00,0.736729719,0.222293599,0.745566667,0,0.67082153,0.306290174 +2018/10/13 17:00,0.767930434,0.081245294,0.73731,0.38,0.63286119,0.407346189 +2018/10/13 18:00,0.719147882,0.004867758,0.6442,0.813333333,0.566005666,0.455188246 +2018/10/13 19:00,0.6925376,0,0.548156667,0.763333333,0.563172805,0.402387511 +2018/10/13 20:00,0.744754202,0,0.44071,0.4,0.541643059,0.414508724 +2018/10/13 21:00,0.668963727,0,0.324696667,0.401666667,0.584135977,0.428466483 +2018/10/13 22:00,0.596138497,0,0.020126667,0.05,0.623229462,0.411019284 +2018/10/13 23:00,0.610252144,0,0,0,0.642492918,0.407759412 +2018/10/14 00:00,0.531859926,0,0,0,0.705382436,0.385215794 +2018/10/14 01:00,0.469740739,0,0,0,0.682152975,0.426400367 +2018/10/14 02:00,0.495670173,0,0,0,0.702549575,0.420431589 +2018/10/14 03:00,0.545605743,0,0,0,0.70878187,0.402525253 +2018/10/14 04:00,0.59860657,0,0,0,0.691784703,0.4184573 +2018/10/14 05:00,0.647206408,0.000182473,0,0,0.660056657,0.443296602 +2018/10/14 06:00,0.571830884,0.053702033,0.12227,0,0.635694051,0.451285583 +2018/10/14 07:00,0.567991499,0.25113927,0.362276667,0.523333333,0.602266289,0.467814509 +2018/10/14 08:00,0.539099704,0.414599882,0.66558,0.165,0.602832861,0.472865014 +2018/10/14 09:00,0.568302112,0.57365672,0.677903333,0.15,0.624929178,0.467539027 +2018/10/14 10:00,0.551653075,0.575358672,0.72006,0.058333333,0.628895184,0.458861341 +2018/10/14 11:00,0.50304939,0.54770145,0.792923333,0,0.615864023,0.469651056 +2018/10/14 12:00,0.469704197,0.594772723,0.929056667,0,0.620963173,0.47369146 +2018/10/14 13:00,0.489454552,0.633621175,0.96046,0,0.621529745,0.479338843 +2018/10/14 14:00,0.559272705,0.606982818,0.963703333,0,0.623229462,0.480211203 +2018/10/14 15:00,0.561881179,0.502083178,0.98758,0,0.630594901,0.486730946 +2018/10/14 16:00,0.53417077,0.342577958,0.978876667,0,0.617563739,0.473599633 +2018/10/14 17:00,0.431091568,0.187817039,0.932446667,0.393333333,0.657790368,0.47543618 +2018/10/14 18:00,0.392849175,0.012532984,0.74121,0.855,0.595467422,0.47805326 +2018/10/14 19:00,0.341323037,0,0.667403333,0.8,0.566005666,0.478191001 +2018/10/14 20:00,0.407402777,0,0.64225,0.4,0.527478754,0.478604224 +2018/10/14 21:00,0.426405451,0,0.630473333,0.401666667,0.547875354,0.477226814 +2018/10/14 22:00,0.381256491,0,0.302906667,0.018333333,0.639660057,0.448760331 +2018/10/14 23:00,0.370902893,0,0.161603333,0,0.701983003,0.472589532 +2018/10/15 00:00,0.406859445,0,0.079936667,0,0.725212465,0.480762167 +2018/10/15 01:00,0.42863792,0,0,0,0.69631728,0.414049587 +2018/10/15 02:00,0.394546486,0,0,0,0.699150142,0.422589532 +2018/10/15 03:00,0.292836193,0,0,0,0.708215297,0.442561983 +2018/10/15 04:00,0.220566315,0,0,0,0.70878187,0.421166208 +2018/10/15 05:00,0.183673116,0.000784159,0.1839,0,0.619830028,0.418503214 +2018/10/15 06:00,0.198019483,0.092416853,0.33064,0,0.629461756,0.461019284 +2018/10/15 07:00,0.22465573,0.384683114,0.526843333,0.325,0.615864023,0.459412305 +2018/10/15 08:00,0.271102435,0.590420502,0.959686667,0.551666667,0.609065156,0.47107438 +2018/10/15 09:00,0.288432319,0.721082086,0.99127,0.528333333,0.587535411,0.481037649 +2018/10/15 10:00,0.322010713,0.835020588,0.990573333,0.353333333,0.584135977,0.375022957 +2018/10/15 11:00,0.326159749,0.886055393,0.98073,0.028333333,0.590368272,0.348714417 +2018/10/15 12:00,0.330208293,0.892624424,0.99263,0,0.602266289,0.31969697 +2018/10/15 13:00,0.35840722,0.873134399,0.99295,0,0.601133144,0.320798898 +2018/10/15 14:00,0.40012261,0.795275372,0.99051,0,0.593767705,0.319926538 +2018/10/15 15:00,0.421368812,0.685758959,0.989956667,0,0.626062323,0.396097337 +2018/10/15 16:00,0.418430492,0.497953452,0.940443333,0,0.638526912,0.396280992 +2018/10/15 17:00,0.517396238,0.202100815,0.802153333,0,0.627195467,0.393663912 +2018/10/15 18:00,0.55605166,0.013709902,0.656276667,0.74,0.630594901,0.387098255 +2018/10/15 19:00,0.54331269,0,0.65215,0.776666667,0.650991501,0.378282828 +2018/10/15 20:00,0.500452456,0,0.647923333,0.401666667,0.598866856,0.377640037 +2018/10/15 21:00,0.447086683,0,0.589506667,0.06,0.588668555,0.37768595 +2018/10/15 22:00,0.434990576,0,0.1493,0,0.614164306,0.377777778 +2018/10/15 23:00,0.445941839,0,0.139,0,0.654957507,0.360514233 +2018/10/16 00:00,0.358895738,0,0.139046667,0,0.655524079,0.328007346 +2018/10/16 01:00,0.30755616,0,0.138746667,0,0.708215297,0.325711662 +2018/10/16 02:00,0.276880986,0,0.13831,0,0.716147309,0.327226814 +2018/10/16 03:00,0.255890584,0,0.13809,0,0.688385269,0.332736455 +2018/10/16 04:00,0.259855464,0,0.136686667,0,0.677053824,0.335169881 +2018/10/16 05:00,0.224429742,0.001179631,0.036563333,0,0.588668555,0.340955005 +2018/10/16 06:00,0.180325614,0.110810004,0,0,0.65325779,0.371900826 +2018/10/16 07:00,0.138227969,0.420343375,0.19502,0.31,0.63796034,0.3728191 +2018/10/16 08:00,0.109726122,0.640928917,0.474886667,0.35,0.618130312,0.397245179 +2018/10/16 09:00,0.125109147,0.752448463,0.544176667,0.348333333,0.619263456,0.412350781 +2018/10/16 10:00,0.075206755,0.79116464,0.826533333,0.353333333,0.623229462,0.40399449 +2018/10/16 11:00,0.064180963,0.838038516,0.91337,0.215,0.616997167,0.404178145 +2018/10/16 12:00,0.069691214,0.780565599,0.961493333,0.201666667,0.623796034,0.399954086 +2018/10/16 13:00,0.102407009,0.736799191,0.93301,0.02,0.637393768,0.385950413 +2018/10/16 14:00,0.195902893,0.696555397,0.958723333,0,0.64305949,0.304453627 +2018/10/16 15:00,0.282505674,0.531556312,0.81456,0,0.649858357,0.353351699 +2018/10/16 16:00,0.337269204,0.361161723,0.793813333,0,0.661189802,0.400550964 +2018/10/16 17:00,0.36494307,0.162992559,0.744893333,0.02,0.659490085,0.406657484 +2018/10/16 18:00,0.391188887,0.009556434,0.690383333,0.7,0.650991501,0.411662075 +2018/10/16 19:00,0.372777628,0,0.667903333,0.863333333,0.645892351,0.428466483 +2018/10/16 20:00,0.320486979,0,0.652286667,0.385,0.637393768,0.442378329 +2018/10/16 21:00,0.301185233,0,0.621666667,0,0.597167139,0.410330579 +2018/10/16 22:00,0.27186358,0,0.16994,0,0.61529745,0.422497704 +2018/10/16 23:00,0.216734142,0,0.136673333,0,0.635694051,0.419237833 +2018/10/17 00:00,0.200623149,0,0.13622,0,0.678186969,0.391322314 +2018/10/17 01:00,0.150738547,0,0.133346667,0,0.644192635,0.394444444 +2018/10/17 02:00,0.126675193,0,0.008696667,0,0.677620397,0.380808081 +2018/10/17 03:00,0.13062036,0,0,0,0.672521246,0.395730028 +2018/10/17 04:00,0.175275993,0,0,0,0.627195467,0.400550964 +2018/10/17 05:00,0.187127842,0.001092804,0,0,0.583569405,0.410606061 +2018/10/17 06:00,0.188361157,0.085361453,6.67E-06,0,0.640793201,0.449219467 +2018/10/17 07:00,0.176455937,0.371327984,0.30067,0.308333333,0.651558074,0.454637282 +2018/10/17 08:00,0.139485806,0.598213256,0.933403333,0.478333333,0.640793201,0.463957759 +2018/10/17 09:00,0.124975478,0.768740122,0.989486667,0.551666667,0.630028329,0.459320478 +2018/10/17 10:00,0.125575066,0.848962481,0.994146667,0.243333333,0.63286119,0.439072544 +2018/10/17 11:00,0.099997115,0.847145212,0.992273333,0.066666667,0.626062323,0.44214876 +2018/10/17 12:00,0.099568219,0.860683494,0.99298,0,0.633994334,0.453213958 +2018/10/17 13:00,0.125644786,0.850570822,0.992633333,0,0.639093484,0.450642792 +2018/10/17 14:00,0.159336173,0.780975994,0.994643333,0,0.637393768,0.44775023 +2018/10/17 15:00,0.194369543,0.648172217,0.992246667,0,0.635694051,0.431772268 +2018/10/17 16:00,0.234513598,0.448507316,0.989686667,0.236666667,0.642492918,0.435766758 +2018/10/17 17:00,0.284820845,0.198306867,0.9514,0.6,0.642492918,0.435674931 +2018/10/17 18:00,0.345950975,0.014891568,0.74195,0.788333333,0.640226629,0.4359045 +2018/10/17 19:00,0.398947475,0,0.713896667,0.435,0.639093484,0.436088154 +2018/10/17 20:00,0.441002327,0,0.687623333,0.201666667,0.632294618,0.436593205 +2018/10/17 21:00,0.457420568,0,0.670516667,0.198333333,0.595467422,0.436822773 +2018/10/17 22:00,0.387178809,0,0.357396667,0.2,0.588668555,0.436822773 +2018/10/17 23:00,0.332045044,0,0.222146667,0.201666667,0.586968839,0.42768595 +2018/10/18 00:00,0.308561084,0,0.151783333,0.016666667,0.597167139,0.379522498 +2018/10/18 01:00,0.255637189,0,0.13995,0,0.614730878,0.362121212 +2018/10/18 02:00,0.208701004,0,0.13693,0,0.595467422,0.362764004 +2018/10/18 03:00,0.174198946,0,0.137496667,0,0.596033994,0.366391185 +2018/10/18 04:00,0.146293322,0,0.138143333,0,0.581869688,0.369008264 +2018/10/18 05:00,0.126354964,0.001277312,0.224403333,0,0.588668555,0.39302112 +2018/10/18 06:00,0.167519329,0.101969217,0.338356667,0,0.64305949,0.449816345 +2018/10/18 07:00,0.148911413,0.370389163,0.56626,0.233333333,0.646458924,0.423966942 +2018/10/18 08:00,0.112887545,0.552748289,0.971676667,0.545,0.640226629,0.429752066 +2018/10/18 09:00,0.09281744,0.628108317,0.9827,0.351666667,0.636260623,0.446235078 +2018/10/18 10:00,0.092814556,0.689864264,0.987726667,0.263333333,0.63796034,0.438062443 +2018/10/18 11:00,0.100833269,0.736578053,0.990653333,0.061666667,0.639660057,0.420156107 +2018/10/18 12:00,0.131397373,0.733490256,0.98985,0,0.647592068,0.39651056 +2018/10/18 13:00,0.15101454,0.699938271,0.992753333,0,0.644759207,0.409963269 +2018/10/18 14:00,0.16555516,0.629651537,0.994263333,0,0.641359773,0.428833792 +2018/10/18 15:00,0.166661538,0.550391062,0.993153333,0,0.645325779,0.400642792 +2018/10/18 16:00,0.231740201,0.402988082,0.99172,0,0.648725212,0.305693297 +2018/10/18 17:00,0.277177174,0.175896594,0.95066,0.28,0.645325779,0.349311295 +2018/10/18 18:00,0.276985325,0.014275636,0.762073333,0.995,0.627195467,0.456244261 +2018/10/18 19:00,0.24197167,0,0.71629,0.701666667,0.651558074,0.43415978 +2018/10/18 20:00,0.212859657,0,0.710553333,0.216666667,0.628895184,0.380945822 +2018/10/18 21:00,0.231097338,0,0.70189,0,0.601133144,0.429660239 +2018/10/18 22:00,0.339267031,0,0.36581,0,0.586402266,0.451882461 +2018/10/18 23:00,0.386123399,0,0.19618,0,0.598866856,0.418916437 +2018/10/19 00:00,0.412000904,0,0.160573333,0,0.613597734,0.360835629 +2018/10/19 01:00,0.441521137,0,0.147796667,0,0.640793201,0.379660239 +2018/10/19 02:00,0.486134939,0,0.14503,0,0.647025496,0.380624426 +2018/10/19 03:00,0.493364138,0,0.14331,0,0.63796034,0.386685032 +2018/10/19 04:00,0.474487441,0,0.118266667,0,0.62266289,0.387465565 +2018/10/19 05:00,0.493537716,0.001299018,0.19681,0,0.597733711,0.401285583 +2018/10/19 06:00,0.443063142,0.106936691,0.31067,0.125,0.655524079,0.443204775 +2018/10/19 07:00,0.427681559,0.382985233,0.532426667,0.15,0.65325779,0.427594123 +2018/10/19 08:00,0.486434973,0.58720382,0.81621,0.321666667,0.640226629,0.426997245 +2018/10/19 09:00,0.493530984,0.751466907,0.824746667,0.351666667,0.639660057,0.459320478 +2018/10/19 10:00,0.486069546,0.834705838,0.826213333,0.346666667,0.636260623,0.456749311 +2018/10/19 11:00,0.525987614,0.875511298,0.824406667,0.201666667,0.639660057,0.416345271 +2018/10/19 12:00,0.591186002,0.869304499,0.825876667,0.201666667,0.650991501,0.410835629 +2018/10/19 13:00,0.6955692,0.839536288,0.834466667,0.028333333,0.655524079,0.423461892 +2018/10/19 14:00,0.803352791,0.767989879,0.92361,0,0.658356941,0.424104683 +2018/10/19 15:00,0.843210274,0.624745793,0.98528,0,0.651558074,0.410146924 +2018/10/19 16:00,0.850448609,0.455216763,0.98129,0,0.650424929,0.381129477 +2018/10/19 17:00,0.874606205,0.195454453,0.946426667,0,0.64815864,0.38328742 +2018/10/19 18:00,0.837233623,0.015783583,0.725386667,0.683333333,0.648725212,0.39600551 +2018/10/19 19:00,0.757965342,0,0.719956667,0.821666667,0.649291785,0.349081726 +2018/10/19 20:00,0.680345328,0,0.708713333,0.395,0.640226629,0.344949495 +2018/10/19 21:00,0.608724564,0,0.614926667,0.056666667,0.618130312,0.387511478 +2018/10/19 22:00,0.574607166,0,0.358396667,0,0.613031161,0.37979798 +2018/10/19 23:00,0.545536023,0,0.190656667,0,0.64305949,0.367125803 +2018/10/20 00:00,0.534423203,0,0.157036667,0,0.638526912,0.359274564 +2018/10/20 01:00,0.536987441,0,0.148966667,0,0.636260623,0.357759412 +2018/10/20 02:00,0.51762463,0,0.14904,0,0.625495751,0.358126722 +2018/10/20 03:00,0.549098934,0,0.14871,0,0.606232295,0.361386593 +2018/10/20 04:00,0.639758914,0,0.103846667,0,0.601133144,0.363865932 +2018/10/20 05:00,0.664401181,0.002017379,0,0,0.565439093,0.364554637 +2018/10/20 06:00,0.68104589,0.123935178,0,0,0.56203966,0.377089073 +2018/10/20 07:00,0.661335443,0.437599631,0.17909,0.325,0.593767705,0.392286501 +2018/10/20 08:00,0.649097973,0.65912942,0.26979,0.546666667,0.568838527,0.384251607 +2018/10/20 09:00,0.656776263,0.808707154,0.242233333,0.55,0.552974504,0.387327824 +2018/10/20 10:00,0.61237739,0.876218805,0.364626667,0.353333333,0.546175637,0.415794307 +2018/10/20 11:00,0.606643555,0.903104756,0.489483333,0.023333333,0.5898017,0.428650138 +2018/10/20 12:00,0.589946917,0.898631113,0.672296667,0,0.578470255,0.386225895 +2018/10/20 13:00,0.592200542,0.881150327,0.60439,0,0.576770538,0.41097337 +2018/10/20 14:00,0.608726488,0.799650656,0.553103333,0,0.579036827,0.433149679 +2018/10/20 15:00,0.648095934,0.661152226,0.688356667,0,0.582436261,0.443250689 +2018/10/20 16:00,0.689586779,0.489168289,0.69029,0,0.583002833,0.439164371 +2018/10/20 17:00,0.728213832,0.192150944,0.67593,0.016666667,0.572804533,0.434113866 +2018/10/20 18:00,0.717716948,0.016071877,0.62679,0.751666667,0.575637394,0.445500459 +2018/10/20 19:00,0.699063834,0,0.63383,0.771666667,0.582436261,0.447933884 +2018/10/20 20:00,0.668956995,0,0.58242,0.43,0.552407932,0.447704316 +2018/10/20 21:00,0.661835981,0,0.29383,0.015,0.555240793,0.448576676 +2018/10/20 22:00,0.626099165,0,0.172056667,0,0.585835694,0.444490358 +2018/10/20 23:00,0.619336366,0,0.146203333,0,0.630028329,0.442561983 +2018/10/21 00:00,0.646000019,0,0.147283333,0,0.666288952,0.441873278 +2018/10/21 01:00,0.638481363,0,0.104733333,0,0.687818697,0.441046832 +2018/10/21 02:00,0.604456283,0,0.00002,0,0.678186969,0.440909091 +2018/10/21 03:00,0.601163115,0,0,0,0.695184136,0.450780533 +2018/10/21 04:00,0.59532398,0,0,0,0.683852691,0.45174472 +2018/10/21 05:00,0.581839732,0.002591254,0,0,0.602266289,0.446969697 +2018/10/21 06:00,0.56025551,0.106960433,0,0,0.579036827,0.446602388 +2018/10/21 07:00,0.56156143,0.385501869,0.112683333,0.348333333,0.612464589,0.460009183 +2018/10/21 08:00,0.663932858,0.602137445,0.62577,0.546666667,0.60509915,0.471349862 +2018/10/21 09:00,0.666761549,0.737115297,0.87116,0.551666667,0.61529745,0.461294766 +2018/10/21 10:00,0.656486325,0.817579823,0.90708,0.35,0.631161473,0.465059688 +2018/10/21 11:00,0.697336712,0.840151541,0.86882,0.008333333,0.633427762,0.463820018 +2018/10/21 12:00,0.748171904,0.836707616,0.675956667,0,0.651558074,0.448347107 +2018/10/21 13:00,0.774099896,0.749650316,0.66746,0,0.630594901,0.4859045 +2018/10/21 14:00,0.796463534,0.646924752,0.550593333,0,0.648725212,0.46707989 +2018/10/21 15:00,0.801709332,0.533287432,0.573956667,0,0.629461756,0.46533517 +2018/10/21 16:00,0.819533504,0.410949742,0.591796667,0,0.610764873,0.462075298 +2018/10/21 17:00,0.84141776,0.164062299,0.517396667,0.023333333,0.589235127,0.460835629 +2018/10/21 18:00,0.850329846,0.01349419,0.485063333,0.728333333,0.528045326,0.478650138 +2018/10/21 19:00,0.864944994,0,0.476686667,0.78,0.51898017,0.46322314 +2018/10/21 20:00,0.874740355,0,0.473876667,0.431666667,0.524645892,0.474012856 +2018/10/21 21:00,0.82991499,0,0.21424,0.01,0.589235127,0.45610652 +2018/10/21 22:00,0.794043543,0,0,0,0.64815864,0.450275482 +2018/10/21 23:00,0.758273551,0,0,0,0.714447592,0.454269972 +2018/10/22 00:00,0.697333346,0,0,0,0.667422096,0.45523416 +2018/10/22 01:00,0.649992307,0,0,0,0.645325779,0.42892562 +2018/10/22 02:00,0.643668981,0,0,0,0.65325779,0.437144169 +2018/10/22 03:00,0.62382246,0,0,0,0.644759207,0.462947658 +2018/10/22 04:00,0.604693811,0,0,0,0.607932011,0.439853076 +2018/10/22 05:00,0.660473324,0.002303638,0,0,0.576770538,0.421900826 +2018/10/22 06:00,0.671854445,0.087161085,0,0,0.606232295,0.477272727 +2018/10/22 07:00,0.66960707,0.288015113,0,0.326666667,0.607365439,0.474104683 +2018/10/22 08:00,0.637042736,0.461572796,0,0.545,0.583569405,0.470339761 +2018/10/22 09:00,0.621455841,0.670746647,0.047696667,0.556666667,0.570538244,0.477134986 +2018/10/22 10:00,0.606653172,0.812580468,0.07893,0.361666667,0.588101983,0.500780533 +2018/10/22 11:00,0.602431531,0.841468874,0.138926667,0.011666667,0.614730878,0.49687787 +2018/10/22 12:00,0.564479555,0.853356759,0.089866667,0,0.645325779,0.454132231 +2018/10/22 13:00,0.512021579,0.810406393,0.146936667,0,0.654390935,0.440541781 +2018/10/22 14:00,0.426959361,0.737518909,0.138323333,0,0.654390935,0.453397612 +2018/10/22 15:00,0.433755818,0.591391883,0.211786667,0,0.667422096,0.457575758 +2018/10/22 16:00,0.455029907,0.35929697,0.440063333,0,0.653824363,0.463682277 +2018/10/22 17:00,0.514498307,0.113341564,0.425553333,0.121666667,0.658356941,0.445821855 +2018/10/22 18:00,0.584041909,0.00961138,0.031156667,0.788333333,0.661756374,0.443985308 +2018/10/22 19:00,0.595995211,0,0,0.773333333,0.658923513,0.437190083 +2018/10/22 20:00,0.50981219,0,0,0.285,0.613031161,0.452433425 +2018/10/22 21:00,0.471373139,0,0,0,0.63796034,0.462626263 +2018/10/22 22:00,0.458973632,0,0,0,0.648725212,0.455647383 +2018/10/22 23:00,0.523547429,0,0,0,0.647592068,0.419834711 +2018/10/23 00:00,0.492841001,0,0,0,0.635694051,0.412258953 +2018/10/23 01:00,0.482781186,0,0,0,0.644759207,0.414003673 +2018/10/23 02:00,0.438908816,0,0,0,0.653824363,0.420798898 +2018/10/23 03:00,0.433957284,0,0,0,0.657223796,0.423002755 +2018/10/23 04:00,0.456074259,0,0,0,0.632294618,0.422956841 +2018/10/23 05:00,0.492707332,0.004133796,0,0,0.627195467,0.415564738 +2018/10/23 06:00,0.520499,0.114008371,0,0.003333333,0.646458924,0.428650138 +2018/10/23 07:00,0.493901219,0.352196121,0,0.351666667,0.639660057,0.436455464 +2018/10/23 08:00,0.482273435,0.5369837,4.67E-05,0.535,0.638526912,0.432460973 +2018/10/23 09:00,0.547206408,0.650287276,0.034603333,0.518333333,0.642492918,0.437098255 +2018/10/23 10:00,0.589903162,0.739589198,0.039453333,0.351666667,0.643626062,0.442011019 +2018/10/23 11:00,0.549761511,0.811354032,0,0.05,0.639660057,0.425206612 +2018/10/23 12:00,0.410682002,0.809169781,0,0,0.645325779,0.401698806 +2018/10/23 13:00,0.363017367,0.745412057,0.046013333,0,0.652124646,0.386868687 +2018/10/23 14:00,0.332502789,0.674141732,0.119363333,0,0.656090652,0.394719927 +2018/10/23 15:00,0.295066258,0.544588554,0.087826667,0,0.660056657,0.403535354 +2018/10/23 16:00,0.292839558,0.367566596,0,0,0.694050992,0.399449036 +2018/10/23 17:00,0.295829326,0.143954985,0.07933,0.173333333,0.734844193,0.39251607 +2018/10/23 18:00,0.328243643,0.012152436,0.225416667,0.805,0.705382436,0.384067952 +2018/10/23 19:00,0.282228238,0,0.108236667,0.768333333,0.701983003,0.381588613 +2018/10/23 20:00,0.253178732,0,0,0.215,0.676487252,0.381359045 +2018/10/23 21:00,0.231312748,0,0,0,0.682719547,0.380532599 +2018/10/23 22:00,0.278531657,0,0,0,0.645892351,0.381083563 +2018/10/23 23:00,0.265863369,0,0,0,0.668555241,0.381313131 +2018/10/24 00:00,0.273241143,0,0,0,0.683852691,0.384251607 +2018/10/24 01:00,0.347977651,0,0,0,0.689518414,0.377134986 +2018/10/24 02:00,0.397926684,0,0,0,0.700283286,0.376584022 +2018/10/24 03:00,0.466273032,0,0,0,0.692917847,0.388246097 +2018/10/24 04:00,0.449578798,0,0,0,0.672521246,0.404315886 +2018/10/24 05:00,0.466825018,0.003372021,0,0,0.623796034,0.398668503 +2018/10/24 06:00,0.426435743,0.136343348,0,0,0.644759207,0.408815427 +2018/10/24 07:00,0.317065911,0.43686092,0.090916667,0.235,0.647025496,0.440495868 +2018/10/24 08:00,0.29456043,0.633731066,0.793593333,0.531666667,0.64815864,0.420247934 +2018/10/24 09:00,0.281849348,0.762084942,0.978383333,0.551666667,0.648725212,0.413452709 +2018/10/24 10:00,0.262487499,0.835485928,0.984073333,0.415,0.650991501,0.409641873 +2018/10/24 11:00,0.229368292,0.870074414,0.98981,0.108333333,0.644759207,0.414600551 +2018/10/24 12:00,0.225397161,0.861772227,0.98513,0,0.649858357,0.409090909 +2018/10/24 13:00,0.21332798,0.836842605,0.980063333,0,0.649858357,0.431634527 +2018/10/24 14:00,0.17803737,0.780492338,0.990986667,0,0.649858357,0.467998163 +2018/10/24 15:00,0.190571989,0.670601483,0.9843,0,0.649858357,0.45573921 +2018/10/24 16:00,0.253310478,0.478266709,0.976546667,0,0.656090652,0.459687787 +2018/10/24 17:00,0.29572066,0.201342432,0.916156667,0.176666667,0.657790368,0.466115702 +2018/10/24 18:00,0.273873909,0.017061573,0.69727,0.696666667,0.657790368,0.468595041 +2018/10/24 19:00,0.258505789,0,0.674603333,0.846666667,0.649858357,0.446556474 +2018/10/24 20:00,0.285445917,0,0.686686667,0.18,0.640793201,0.468686869 +2018/10/24 21:00,0.305132323,0,0.65811,0,0.633427762,0.470385675 +2018/10/24 22:00,0.222750702,0,0.29848,0,0.624362606,0.447107438 +2018/10/24 23:00,0.202570489,0,0.153833333,0,0.647025496,0.457024793 +2018/10/25 00:00,0.169535427,0,0.153073333,0,0.683286119,0.454315886 +2018/10/25 01:00,0.117322191,0,0.14263,0,0.69121813,0.447337006 +2018/10/25 02:00,0.077750317,0,0.140013333,0,0.664589235,0.42543618 +2018/10/25 03:00,0.053088337,0,0.145283333,0,0.649858357,0.441184573 +2018/10/25 04:00,0.043348752,0,0.150563333,0,0.610764873,0.449403122 +2018/10/25 05:00,0.071938589,0.003511759,0.039113333,0,0.566005666,0.446235078 +2018/10/25 06:00,0.116287937,0.129485344,0.230676667,0,0.631728045,0.471395776 +2018/10/25 07:00,0.104954899,0.411290268,0.595893333,0.303333333,0.642492918,0.472130395 +2018/10/25 08:00,0.067147171,0.59512478,0.96196,0.545,0.647025496,0.438751148 +2018/10/25 09:00,0.059727084,0.713744497,0.989643333,0.371666667,0.645325779,0.437832874 +2018/10/25 10:00,0.05378938,0.79084989,0.989373333,0.031666667,0.645892351,0.435078053 +2018/10/25 11:00,0.071960226,0.825409886,0.9859,0,0.642492918,0.42194674 +2018/10/25 12:00,0.090424376,0.810419281,0.984473333,0,0.645892351,0.399816345 +2018/10/25 13:00,0.113455399,0.791988821,0.980616667,0,0.651558074,0.397199265 +2018/10/25 14:00,0.131356983,0.718551204,0.98413,0,0.652691218,0.445592287 +2018/10/25 15:00,0.137302862,0.620023199,0.986833333,0,0.654957507,0.438842975 +2018/10/25 16:00,0.159623226,0.441424104,0.984726667,0.071666667,0.657223796,0.435215794 +2018/10/25 17:00,0.114714679,0.187658986,0.93573,0.436666667,0.665155807,0.443709826 +2018/10/25 18:00,0.233919298,0.016500587,0.768846667,0.74,0.635127479,0.446969697 +2018/10/25 19:00,0.428076316,0,0.709656667,0.815,0.628895184,0.44426079 +2018/10/25 20:00,0.359832385,0,0.716783333,0.438333333,0.645325779,0.432828283 +2018/10/25 21:00,0.30618004,0,0.684026667,0,0.628328612,0.464003673 +2018/10/25 22:00,0.281790687,0,0.357593333,0,0.652124646,0.455371901 +2018/10/25 23:00,0.298454149,0,0.195483333,0,0.635694051,0.417906336 +2018/10/26 00:00,0.285504097,0,0.15704,0,0.654390935,0.409641873 +2018/10/26 01:00,0.294848925,0,0.14917,0,0.678186969,0.420844812 +2018/10/26 02:00,0.281137727,0,0.148503333,0,0.644759207,0.426997245 +2018/10/26 03:00,0.293686772,0,0.148593333,0,0.55694051,0.426446281 +2018/10/26 04:00,0.29959178,0,0.08605,0,0.402266289,0.424977043 +2018/10/26 05:00,0.27871966,0.003984561,0.19469,0,0.574504249,0.423140496 +2018/10/26 06:00,0.262171116,0.134603409,0.336426667,0,0.631161473,0.420890725 +2018/10/26 07:00,0.192696753,0.418989411,0.551336667,0.316666667,0.649858357,0.427594123 +2018/10/26 08:00,0.106461322,0.609028009,0.969823333,0.545,0.642492918,0.454178145 +2018/10/26 09:00,0.086110417,0.722677538,0.99116,0.55,0.642492918,0.455922865 +2018/10/26 10:00,0.0854012,0.781878184,0.988136667,0.021666667,0.640226629,0.451652893 +2018/10/26 11:00,0.101910797,0.808802122,0.984963333,0,0.640793201,0.442470156 +2018/10/26 12:00,0.130751625,0.812918959,0.977753333,0,0.655524079,0.415381084 +2018/10/26 13:00,0.138208255,0.782316391,0.868323333,0,0.659490085,0.410927456 +2018/10/26 14:00,0.162230257,0.724237717,0.903623333,0,0.654957507,0.409917355 +2018/10/26 15:00,0.215170981,0.630779615,0.966446667,0,0.650424929,0.318135904 +2018/10/26 16:00,0.258751491,0.469166797,0.96164,0,0.654390935,0.297015611 +2018/10/26 17:00,0.273856599,0.19896689,0.923836667,0.003333333,0.663456091,0.314784206 +2018/10/26 18:00,0.318735335,0.018510504,0.77944,0.691666667,0.651558074,0.325849403 +2018/10/26 19:00,0.337958226,0,0.696426667,0.855,0.654390935,0.387419651 +2018/10/26 20:00,0.369588799,0,0.708066667,0.526666667,0.650991501,0.421808999 +2018/10/26 21:00,0.367011578,0,0.683236667,0.228333333,0.500283286,0.426584022 +2018/10/26 22:00,0.334591972,0,0.32425,0.003333333,0.434560907,0.386730946 +2018/10/26 23:00,0.307144574,0,0.152403333,0,0.604532578,0.362121212 +2018/10/27 00:00,0.285343501,0,0.146653333,0,0.64305949,0.363682277 +2018/10/27 01:00,0.287431242,0,0.144326667,0,0.650991501,0.369880624 +2018/10/27 02:00,0.280836731,0,0.144066667,0,0.673654391,0.373875115 +2018/10/27 03:00,0.265558526,0,0.14489,0,0.677620397,0.374242424 +2018/10/27 04:00,0.290960976,0,0.067276667,0,0.645892351,0.373783287 +2018/10/27 05:00,0.34570912,0.003863138,0.172616667,0,0.587535411,0.371258035 +2018/10/27 06:00,0.29889795,0.136299934,0.326596667,0,0.573371105,0.369008264 +2018/10/27 07:00,0.232886968,0.429498911,0.539113333,0.308333333,0.603966006,0.368181818 +2018/10/27 08:00,0.255671808,0.635049078,0.948753333,0.54,0.595467422,0.376905418 +2018/10/27 09:00,0.254062969,0.764521534,0.97302,0.551666667,0.596600567,0.380578512 +2018/10/27 10:00,0.242164,0.831845285,0.990573333,0.365,0.598300283,0.381037649 +2018/10/27 11:00,0.270023945,0.856545628,0.951146667,0.028333333,0.537110482,0.372176309 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13:00,0.231166577,0.818773021,0.978563333,0,0.616997167,0.395454545 +2018/10/28 14:00,0.286701831,0.754765668,0.96863,0,0.62266289,0.395913682 +2018/10/28 15:00,0.338000058,0.633171437,0.883456667,0,0.615864023,0.379338843 +2018/10/28 16:00,0.360044909,0.436574661,0.820613333,0,0.620396601,0.393939394 +2018/10/28 17:00,0.331335827,0.182574838,0.77005,0.165,0.635127479,0.381910009 +2018/10/28 18:00,0.365799419,0.016845183,0.650443333,0.67,0.631161473,0.378145087 +2018/10/28 19:00,0.334103935,0,0.66625,0.841666667,0.620963173,0.420064279 +2018/10/28 20:00,0.259904508,0,0.663923333,0.293333333,0.524645892,0.390817264 +2018/10/28 21:00,0.209309247,0,0.651696667,0,0.509915014,0.393939394 +2018/10/28 22:00,0.199222026,0,0.231876667,0,0.583002833,0.39426079 +2018/10/28 23:00,0.187898123,0,0.14859,0,0.623796034,0.394719927 +2018/10/29 00:00,0.196197157,0,0.1485,0,0.667988669,0.401147842 +2018/10/29 01:00,0.154312998,0,0.148396667,0,0.671954674,0.410514233 +2018/10/29 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04:00,0.266774051,0,0.18037,0,0.694050992,0.316437098 +2018/11/09 05:00,0.257510963,0.010111315,0.31187,0.265,0.621529745,0.346923783 +2018/11/09 06:00,0.232204677,0.183892171,0.337966667,0.55,0.642492918,0.380991736 +2018/11/09 07:00,0.17748346,0.474299107,0.753806667,0.551666667,0.635694051,0.376584022 +2018/11/09 08:00,0.162782725,0.664892585,0.985206667,0.405,0.628895184,0.303627181 +2018/11/09 09:00,0.153238835,0.787867236,0.993783333,0.401666667,0.590934844,0.35312213 +2018/11/09 10:00,0.143930069,0.851044302,0.99149,0.226666667,0.588668555,0.472268136 +2018/11/09 11:00,0.11494884,0.888597806,0.995653333,0,0.587535411,0.452662994 +2018/11/09 12:00,0.125216371,0.887829249,0.99312,0,0.592067989,0.403856749 +2018/11/09 13:00,0.169345982,0.863723808,0.933796667,0,0.596600567,0.397245179 +2018/11/09 14:00,0.226198215,0.810468121,0.831176667,0,0.596033994,0.400367309 +2018/11/09 15:00,0.254820749,0.688079556,0.965923333,0,0.589235127,0.403948577 +2018/11/09 16:00,0.266162442,0.514466249,0.997526667,0,0.587535411,0.415656566 +2018/11/09 17:00,0.314465131,0.247983638,0.960603333,0.09,0.615864023,0.420385675 +2018/11/09 18:00,0.394027676,0.035027371,0.82291,0.54,0.64815864,0.419008264 +2018/11/09 19:00,0.460620456,5.43E-06,0.72619,0.78,0.635694051,0.341368228 +2018/11/09 20:00,0.447108801,0,0.71185,0.701666667,0.634560907,0.470110193 +2018/11/09 21:00,0.433445205,0,0.704893333,0.156666667,0.623796034,0.481955923 +2018/11/09 22:00,0.419923453,0,0.427986667,0,0.607365439,0.456060606 +2018/11/09 23:00,0.336677309,0,0.24008,0,0.618696884,0.435720845 +2018/11/10 00:00,0.254918837,0,0.14803,0,0.6,0.414554637 +2018/11/10 01:00,0.215964342,0,0.144333333,0,0.60509915,0.416345271 +2018/11/10 02:00,0.195037408,0,0.14368,0,0.60509915,0.445408632 +2018/11/10 03:00,0.16440647,0,0.143713333,0,0.60509915,0.446786042 +2018/11/10 04:00,0.185070874,0,0.154833333,0,0.606232295,0.443755739 +2018/11/10 05:00,0.213142382,0.009949871,0.315733333,0,0.614164306,0.444352617 +2018/11/10 06:00,0.205993961,0.172616827,0.34004,0,0.613597734,0.455876951 +2018/11/10 07:00,0.221673174,0.461102707,0.72493,0.461666667,0.634560907,0.462029385 +2018/11/10 08:00,0.213608782,0.666765478,0.93589,0.426666667,0.639093484,0.461616162 +2018/11/10 09:00,0.196389968,0.788221328,0.97649,0.401666667,0.647592068,0.472910927 +2018/11/10 10:00,0.193686291,0.845469716,0.983666667,0.126666667,0.647592068,0.47194674 +2018/11/10 11:00,0.191174462,0.855087879,0.98438,0,0.649858357,0.460009183 +2018/11/10 12:00,0.204828923,0.868811347,0.984246667,0,0.642492918,0.470936639 +2018/11/10 13:00,0.219462823,0.847972785,0.98509,0,0.644192635,0.470156107 +2018/11/10 14:00,0.259745836,0.790642997,0.910586667,0,0.645325779,0.445316804 +2018/11/10 15:00,0.353262876,0.681821882,0.863713333,0,0.643626062,0.464784206 +2018/11/10 16:00,0.364315113,0.512355938,0.984653333,0,0.640793201,0.487327824 +2018/11/10 17:00,0.350494769,0.245697637,0.947453333,0.19,0.647025496,0.479338843 +2018/11/10 18:00,0.451335731,0.038342412,0.798173333,0.701666667,0.643626062,0.479338843 +2018/11/10 19:00,0.485624303,0.000107178,0.723966667,0.625,0.628895184,0.486960514 +2018/11/10 20:00,0.48723747,0,0.70826,0.401666667,0.630594901,0.529017447 +2018/11/10 21:00,0.423071412,0,0.687583333,0.213333333,0.607932011,0.538751148 +2018/11/10 22:00,0.336760972,0,0.380683333,0,0.566572238,0.499494949 +2018/11/10 23:00,0.387767339,0,0.203926667,0,0.457223796,0.473737374 +2018/11/11 00:00,0.345491788,0,0.144743333,0,0.571671388,0.493939394 +2018/11/11 01:00,0.313638112,0,0.14337,0,0.602266289,0.488383838 +2018/11/11 02:00,0.307831673,0,0.14327,0,0.609065156,0.488521579 +2018/11/11 03:00,0.324701889,0,0.14307,0,0.617563739,0.488383838 +2018/11/11 04:00,0.338404431,0,0.11477,0,0.605665722,0.488934803 +2018/11/11 05:00,0.397708389,0.010160156,0.289753333,0,0.606232295,0.489761249 +2018/11/11 06:00,0.412433646,0.173057747,0.346026667,0,0.610764873,0.493801653 +2018/11/11 07:00,0.375265896,0.452171023,0.703556667,0.396666667,0.635694051,0.499908173 +2018/11/11 08:00,0.383688022,0.66269002,0.979863333,0.551666667,0.645325779,0.512167126 +2018/11/11 09:00,0.35852935,0.790229211,0.952113333,0.411666667,0.644192635,0.487190083 +2018/11/11 10:00,0.388877563,0.861599251,0.96624,0.34,0.640793201,0.493434343 +2018/11/11 11:00,0.406491134,0.888985138,0.82536,0,0.636260623,0.488613407 +2018/11/11 12:00,0.426654999,0.885115216,0.82356,0,0.635127479,0.491138659 +2018/11/11 13:00,0.444470035,0.850043753,0.817296667,0,0.633427762,0.493204775 +2018/11/11 14:00,0.489229046,0.777069442,0.81002,0,0.628895184,0.495867769 +2018/11/11 15:00,0.558122091,0.649998982,0.807926667,0,0.606232295,0.500550964 +2018/11/11 16:00,0.579269723,0.463080743,0.811866667,0,0.639660057,0.498301194 +2018/11/11 17:00,0.579178848,0.21091786,0.831946667,0.186666667,0.650991501,0.487465565 +2018/11/11 18:00,0.568388179,0.035913281,0.76153,0.555,0.647592068,0.488062443 +2018/11/11 19:00,0.548531081,5.49E-05,0.685363333,0.696666667,0.640793201,0.490679522 +2018/11/11 20:00,0.52253962,0,0.675736667,0.395,0.631161473,0.517814509 +2018/11/11 21:00,0.457006578,0,0.67042,0.021666667,0.620963173,0.493617998 +2018/11/11 22:00,0.384040947,0,0.375163333,0,0.602266289,0.494306703 +2018/11/11 23:00,0.301903585,0,0.169663333,0,0.602266289,0.521625344 +2018/11/12 00:00,0.250352445,0,0.141596667,0,0.60509915,0.510009183 +2018/11/12 01:00,0.213443378,0,0.14175,0,0.60509915,0.497291093 +2018/11/12 02:00,0.175739508,0,0.142283333,0,0.601133144,0.497796143 +2018/11/12 03:00,0.120158095,0,0.141746667,0,0.602832861,0.498347107 +2018/11/12 04:00,0.128582625,0,0.15481,0,0.600566572,0.499173554 +2018/11/12 05:00,0.161114263,0.009297309,0.30261,0,0.625495751,0.50261708 +2018/11/12 06:00,0.178202293,0.167319681,0.319623333,0.15,0.649291785,0.508769513 +2018/11/12 07:00,0.20824422,0.449008608,0.547376667,0.288333333,0.647025496,0.510055096 +2018/11/12 08:00,0.221422664,0.635965513,0.95698,0.246666667,0.65325779,0.514508724 +2018/11/12 09:00,0.224081625,0.763316804,0.98233,0.203333333,0.656090652,0.536730946 +2018/11/12 10:00,0.255764127,0.860686207,0.97874,0.015,0.661756374,0.544077135 +2018/11/12 11:00,0.29444359,0.890328248,0.980333333,0,0.661756374,0.545867769 +2018/11/12 12:00,0.308807266,0.874199391,0.96316,0,0.667422096,0.52318641 +2018/11/12 13:00,0.313767454,0.841685264,0.955366667,0,0.671954674,0.395546373 +2018/11/12 14:00,0.368745913,0.734488092,0.81819,0,0.675354108,0.470523416 +2018/11/12 15:00,0.383036985,0.564881732,0.75726,0,0.665155807,0.554591368 +2018/11/12 16:00,0.389065084,0.408877417,0.700346667,0,0.671388102,0.497291093 +2018/11/12 17:00,0.39577307,0.192713287,0.578283333,0.083333333,0.67082153,0.489853076 +2018/11/12 18:00,0.413052468,0.033131415,0.695036667,0.396666667,0.654390935,0.502571166 +2018/11/12 19:00,0.40824999,7.46E-05,0.674673333,0.756666667,0.625495751,0.504132231 +2018/11/12 20:00,0.319727276,0,0.67228,0.358333333,0.609065156,0.538705234 +2018/11/12 21:00,0.300402931,0,0.667046667,0.045,0.629461756,0.591368228 +2018/11/12 22:00,0.338933819,0,0.360583333,0,0.627195467,0.583241506 +2018/11/12 23:00,0.307530677,0,0.137646667,0,0.611898017,0.527134986 +2018/11/13 00:00,0.259811709,0,0.135483333,0,0.618696884,0.532277319 +2018/11/13 01:00,0.205541505,0,0.100183333,0,0.618130312,0.532001837 +2018/11/13 02:00,0.185690657,0,0,0,0.63796034,0.526721763 +2018/11/13 03:00,0.12595011,0,0,0,0.620963173,0.557529844 +2018/11/13 04:00,0.173489249,0,0.017006667,0,0.621529745,0.533057851 +2018/11/13 05:00,0.226304958,0.011092871,0.26155,0.181666667,0.639660057,0.554453627 +2018/11/13 06:00,0.238112571,0.161530061,0.303166667,0.551666667,0.657223796,0.559136823 +2018/11/13 07:00,0.240643151,0.40985626,0.524186667,0.551666667,0.652124646,0.541689624 +2018/11/13 08:00,0.24516675,0.617647657,0.73037,0.196666667,0.651558074,0.559641873 +2018/11/13 09:00,0.269258472,0.762839932,0.973296667,0,0.655524079,0.607300275 +2018/11/13 10:00,0.305599204,0.828154444,0.975736667,0,0.666855524,0.615426997 +2018/11/13 11:00,0.358730334,0.81776908,0.957083333,0,0.663456091,0.569880624 +2018/11/13 12:00,0.39304439,0.784733311,0.951493333,0,0.663456091,0.501928375 +2018/11/13 13:00,0.427267569,0.675579132,0.92127,0,0.639660057,0.528374656 +2018/11/13 14:00,0.523152191,0.561150869,0.811793333,0,0.650991501,0.522268136 +2018/11/13 15:00,0.664705543,0.439707907,0.611153333,0,0.649291785,0.515794307 +2018/11/13 16:00,0.681252645,0.370543824,0.583523333,0,0.652124646,0.521900826 +2018/11/13 17:00,0.690159441,0.190187154,0.65386,0,0.652124646,0.523921028 +2018/11/13 18:00,0.639822383,0.033671372,0.629353333,0.36,0.647592068,0.520064279 +2018/11/13 19:00,0.503785052,2.78E-05,0.634933333,0.78,0.632294618,0.530073462 +2018/11/13 20:00,0.418364138,0,0.45172,0.4,0.608498584,0.577226814 +2018/11/13 21:00,0.343823326,0,0.248686667,0.108333333,0.615864023,0.582231405 +2018/11/13 22:00,0.30011684,0,0.135536667,0,0.608498584,0.56271809 +2018/11/13 23:00,0.205558334,0,0.1334,0,0.60509915,0.530211203 +2018/11/14 00:00,0.144413298,0,0.089853333,0,0.632294618,0.515289256 +2018/11/14 01:00,0.107284494,0,0,0,0.619830028,0.520431589 +2018/11/14 02:00,0.06518204,0,0,0,0.624362606,0.526629936 +2018/11/14 03:00,0.057378255,0,0,0,0.636260623,0.526538108 +2018/11/14 04:00,0.034989133,0,0,0,0.6101983,0.525528007 +2018/11/14 05:00,0.030729507,0.009228118,0,0.17,0.624929178,0.524655647 +2018/11/14 06:00,0.037481248,0.151089073,0.01063,0.55,0.644759207,0.554407713 +2018/11/14 07:00,0.038571758,0.412839593,0.310043333,0.526666667,0.645325779,0.570477502 +2018/11/14 08:00,0.056096377,0.62222373,0.57915,0.201666667,0.645892351,0.572130395 +2018/11/14 09:00,0.051063584,0.745973043,0.774183333,0.03,0.653824363,0.568870523 +2018/11/14 10:00,0.068504058,0.823413536,0.77518,0,0.661189802,0.560422406 +2018/11/14 11:00,0.120296573,0.811278736,0.803676667,0,0.663456091,0.508585859 +2018/11/14 12:00,0.18148296,0.751234915,0.748996667,0,0.663456091,0.474426079 +2018/11/14 13:00,0.23401354,0.70645507,0.771486667,0,0.657790368,0.462121212 +2018/11/14 14:00,0.285063661,0.577338064,0.771996667,0,0.660623229,0.453581267 +2018/11/14 15:00,0.340093088,0.473093021,0.79526,0,0.656657224,0.459733701 +2018/11/14 16:00,0.414903162,0.308449386,0.820913333,0,0.657790368,0.452708907 +2018/11/14 17:00,0.491771166,0.126387372,0.73032,0,0.656090652,0.438292011 +2018/11/14 18:00,0.46686108,0.032024366,0.76602,0.203333333,0.643626062,0.433838384 +2018/11/14 19:00,0.428840347,7.80E-05,0.69247,0.771666667,0.623796034,0.442470156 +2018/11/14 20:00,0.341959168,0,0.653823333,0.401666667,0.623229462,0.483103765 +2018/11/14 21:00,0.297238143,0,0.527466667,0.266666667,0.630594901,0.48865932 +2018/11/14 22:00,0.269572451,0,0.150066667,0,0.611331445,0.488797062 +2018/11/14 23:00,0.176429492,0,0,0,0.632294618,0.461983471 +2018/11/15 00:00,0.101276109,0,0,0,0.623229462,0.415426997 +2018/11/15 01:00,0.104933742,0,0,0,0.611331445,0.40523416 +2018/11/15 02:00,0.106876274,0,0,0,0.61529745,0.401606979 +2018/11/15 03:00,0.078400873,0,0,0,0.620963173,0.396280992 +2018/11/15 04:00,0.052989287,0,0,0,0.600566572,0.406198347 +2018/11/15 05:00,0.062475478,0.010439631,0,0.37,0.623229462,0.405831038 +2018/11/15 06:00,0.043937762,0.180341069,0.14116,0.538333333,0.64815864,0.388567493 +2018/11/15 07:00,0.025097607,0.461310957,0.733076667,0.353333333,0.649858357,0.423094582 +2018/11/15 08:00,0.026089068,0.644395906,0.98823,0.201666667,0.647025496,0.456382002 +2018/11/15 09:00,0.044934512,0.76954938,0.973603333,0.2,0.660056657,0.454269972 +2018/11/15 10:00,0.077514713,0.84391632,0.989076667,0,0.662322946,0.431083563 +2018/11/15 11:00,0.105306862,0.873255144,0.982406667,0,0.662322946,0.389302112 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01:00,0.183387987,0,0.131283333,0,0.643626062,0.323278237 +2018/11/16 02:00,0.185001635,0,0.124236667,0,0.629461756,0.329201102 +2018/11/16 03:00,0.116928396,0,0.007546667,0,0.630594901,0.329109275 +2018/11/16 04:00,0.095226372,0,0.0243,0,0.627195467,0.328833792 +2018/11/16 05:00,0.077374312,0.010967379,0.245596667,0.111666667,0.617563739,0.326400367 +2018/11/16 06:00,0.073155556,0.187127846,0.320996667,0.54,0.644759207,0.301147842 +2018/11/16 07:00,0.062947167,0.456800005,0.57016,0.551666667,0.643626062,0.321349862 +2018/11/16 08:00,0.051292938,0.633140233,0.81697,0.41,0.644192635,0.330899908 +2018/11/16 09:00,0.041833192,0.768930057,0.837243333,0.246666667,0.646458924,0.329247016 +2018/11/16 10:00,0.054556295,0.824310978,0.837076667,0,0.647025496,0.325344353 +2018/11/16 11:00,0.104689003,0.867915262,0.83426,0,0.649858357,0.28241506 +2018/11/16 12:00,0.15510732,0.871806891,0.831026667,0,0.650424929,0.251331497 +2018/11/16 13:00,0.200014906,0.848980796,0.82988,0,0.652124646,0.251147842 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03:00,0.393899777,0,0,0,0.624929178,0.146372819 +2018/11/17 04:00,0.402008405,0,0,0,0.611898017,0.290817264 +2018/11/17 05:00,0.395570162,0.01152226,0.141646667,0,0.617563739,0.324793388 +2018/11/17 06:00,0.350870293,0.180737897,0.34233,0.521666667,0.618696884,0.277043159 +2018/11/17 07:00,0.319724872,0.456605322,0.69146,0.55,0.638526912,0.266804408 +2018/11/17 08:00,0.344959995,0.651966164,0.871853333,0.41,0.640793201,0.269146006 +2018/11/17 09:00,0.358073528,0.783198909,0.66353,0,0.611331445,0.278282828 +2018/11/17 10:00,0.365401777,0.855381599,0.799953333,0,0.60509915,0.279614325 +2018/11/17 11:00,0.404383198,0.883527903,0.927773333,0.003333333,0.603966006,0.278007346 +2018/11/17 12:00,0.413404912,0.882407966,0.973366667,0.191666667,0.6,0.274288338 +2018/11/17 13:00,0.403661961,0.850626446,0.840226667,0,0.60509915,0.273140496 +2018/11/17 14:00,0.435824326,0.778751043,0.860836667,0.05,0.6,0.272405877 +2018/11/17 15:00,0.481030504,0.634524044,0.931993333,0.16,0.604532578,0.272773186 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18:00,0.726885795,0.04641939,0.714113333,0.471666667,0.585269122,0.374242424 +2018/11/18 19:00,0.768723314,0.000117353,0.561996667,0.538333333,0.581303116,0.368778696 +2018/11/18 20:00,0.715180117,0,0.55519,0.101666667,0.55184136,0.389669421 +2018/11/18 21:00,0.653199408,0,0.54144,0,0.564305949,0.426262626 +2018/11/18 22:00,0.645744701,0,0.251583333,0,0.6101983,0.430899908 +2018/11/18 23:00,0.56691926,0,0.082873333,0,0.618696884,0.429935721 +2018/11/19 00:00,0.541283129,0,0,0,0.620396601,0.431772268 +2018/11/19 01:00,0.476583837,0,0,0,0.526912181,0.451652893 +2018/11/19 02:00,0.419507539,0,0,0,0.582436261,0.41932966 +2018/11/19 03:00,0.390102223,0,0,0,0.633994334,0.365656566 +2018/11/19 04:00,0.411941282,0,0,0,0.620963173,0.365656566 +2018/11/19 05:00,0.424509078,0.011457818,0.068693333,0,0.608498584,0.37805326 +2018/11/19 06:00,0.390217621,0.148792896,0.283326667,0.526666667,0.645325779,0.412075298 +2018/11/19 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22:00,0.501778571,0,0.416353333,0,0.616430595,0.450137741 +2018/11/21 23:00,0.446855887,0,0.213693333,0,0.639093484,0.44251607 +2018/11/22 00:00,0.396649133,0,0.143646667,0,0.65325779,0.381818182 +2018/11/22 01:00,0.369861426,0,0.14082,0,0.639093484,0.357529844 +2018/11/22 02:00,0.33024724,0,0.14084,0,0.639093484,0.358769513 +2018/11/22 03:00,0.305186175,0,0.14037,0,0.537110482,0.363360882 +2018/11/22 04:00,0.289269435,0,0.21135,0,0.484419263,0.366896235 +2018/11/22 05:00,0.24360984,0.01480474,0.347093333,0.243333333,0.543342776,0.369513315 +2018/11/22 06:00,0.240185887,0.194188673,0.357866667,0.781666667,0.648725212,0.379201102 +2018/11/22 07:00,0.18579163,0.470755466,0.779773333,0.406666667,0.654957507,0.370890725 +2018/11/22 08:00,0.214505039,0.664706042,0.985976667,0.396666667,0.637393768,0.396235078 +2018/11/22 09:00,0.186977824,0.792129915,0.993886667,0.186666667,0.620963173,0.441046832 +2018/11/22 10:00,0.159593415,0.872238992,0.99311,0,0.619263456,0.451101928 +2018/11/22 11:00,0.158667827,0.909927486,0.993436667,0,0.618130312,0.446556474 +2018/11/22 12:00,0.148261819,0.909277637,0.99309,0,0.622096317,0.399540863 +2018/11/22 13:00,0.143466554,0.879196033,0.99291,0,0.62266289,0.397337006 +2018/11/22 14:00,0.167666942,0.816709515,0.98915,0,0.62266289,0.408218549 +2018/11/22 15:00,0.21304237,0.711273988,0.993366667,0.001666667,0.628895184,0.398576676 +2018/11/22 16:00,0.222066008,0.538372937,0.996143333,0.345,0.630028329,0.379338843 +2018/11/22 17:00,0.228981709,0.289626846,0.973786667,0.4,0.661756374,0.385399449 +2018/11/22 18:00,0.25452985,0.059828787,0.857943333,0.518333333,0.667422096,0.40523416 +2018/11/22 19:00,0.351061661,0.000138381,0.735896667,0.801666667,0.67082153,0.39302112 +2018/11/22 20:00,0.399954802,0,0.723436667,0.358333333,0.653824363,0.38989899 +2018/11/22 21:00,0.400780859,0,0.72526,0,0.634560907,0.399219467 +2018/11/22 22:00,0.423682059,0,0.43767,0,0.607365439,0.416666667 +2018/11/22 23:00,0.369922491,0,0.267913333,0,0.6101983,0.405004591 +2018/11/23 00:00,0.322183329,0,0.16355,0,0.619263456,0.305968779 +2018/11/23 01:00,0.30984729,0,0.14884,0,0.625495751,0.276859504 +2018/11/23 02:00,0.316055218,0,0.147073333,0,0.639093484,0.280119376 +2018/11/23 03:00,0.293443474,0,0.147676667,0,0.641359773,0.301928375 +2018/11/23 04:00,0.248814767,0,0.224186667,0,0.614730878,0.381864096 +2018/11/23 05:00,0.24728286,0.013604081,0.319423333,0.178333333,0.624929178,0.353856749 +2018/11/23 06:00,0.233910644,0.18392134,0.367863333,0.55,0.648725212,0.293434343 +2018/11/23 07:00,0.21588164,0.451273581,0.72468,0.351666667,0.660623229,0.302754821 +2018/11/23 08:00,0.209943936,0.627550044,0.850266667,0.203333333,0.637393768,0.293112948 +2018/11/23 09:00,0.172912259,0.745640657,0.97059,0.201666667,0.63286119,0.336271809 +2018/11/23 10:00,0.160189156,0.813372089,0.99322,0.2,0.635127479,0.370523416 +2018/11/23 11:00,0.174674482,0.847109938,0.993716667,0,0.631728045,0.434802571 +2018/11/23 12:00,0.267476055,0.853160719,0.99138,0,0.635127479,0.389577594 +2018/11/23 13:00,0.35457697,0.836067942,0.99092,0,0.636827195,0.349081726 +2018/11/23 14:00,0.397182367,0.787417497,0.986603333,0,0.639093484,0.342607897 +2018/11/23 15:00,0.442388545,0.686064212,0.98903,0,0.641926346,0.34251607 +2018/11/23 16:00,0.482920145,0.519477815,0.992676667,0,0.646458924,0.343480257 +2018/11/23 17:00,0.629322614,0.285269877,0.954316667,0,0.646458924,0.345270891 +2018/11/23 18:00,0.666393719,0.059327495,0.840496667,0.358333333,0.637393768,0.34687787 +2018/11/23 19:00,0.613076509,0.000127528,0.711523333,0.706666667,0.630594901,0.347153352 +2018/11/23 20:00,0.578676386,0,0.72408,0.45,0.629461756,0.346831956 +2018/11/23 21:00,0.440078182,0,0.70353,0.358333333,0.626628895,0.345500459 +2018/11/23 22:00,0.324444167,0,0.513273333,0.058333333,0.599433428,0.343480257 +2018/11/23 23:00,0.274004693,0,0.37016,0,0.617563739,0.336868687 +2018/11/24 00:00,0.203656672,0,0.22315,0,0.649291785,0.294214876 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13:00,0.40118908,0.805338525,0.957783333,0,0.64305949,0.348530762 +2018/11/24 14:00,0.479992403,0.683898955,0.947283333,0,0.639093484,0.350229568 +2018/11/24 15:00,0.513880448,0.536242275,0.971626667,0,0.635694051,0.35087236 +2018/11/24 16:00,0.545138862,0.41884289,0.897523333,0,0.638526912,0.261662075 +2018/11/24 17:00,0.603731681,0.217452974,0.85538,0.2,0.638526912,0.284205693 +2018/11/24 18:00,0.603277782,0.050746512,0.794106667,0.403333333,0.629461756,0.306014692 +2018/11/24 19:00,0.549006616,0.000191291,0.69251,0.701666667,0.617563739,0.352846648 +2018/11/24 20:00,0.445561026,0,0.699863333,0.485,0.616997167,0.351882461 +2018/11/24 21:00,0.411454687,0,0.569106667,0.048333333,0.643626062,0.352157943 +2018/11/24 22:00,0.364050179,0,0.431726667,0,0.692351275,0.353168044 +2018/11/24 23:00,0.304362042,0,0.30618,0,0.70368272,0.3543618 +2018/11/25 00:00,0.24472343,0,0.197816667,0,0.717280453,0.354820937 +2018/11/25 01:00,0.178175366,0,0.196913333,0,0.716713881,0.354637282 +2018/11/25 02:00,0.157320075,0,0.196913333,0,0.710481586,0.354591368 +2018/11/25 03:00,0.136140228,0,0.197316667,0,0.688385269,0.354683196 +2018/11/25 04:00,0.152755606,0,0.092873333,0,0.675354108,0.35399449 +2018/11/25 05:00,0.184928069,0.009673109,0.065313333,0.19,0.687252125,0.353673095 +2018/11/25 06:00,0.183280763,0.16696491,0.064706667,0.551666667,0.628328612,0.353351699 +2018/11/25 07:00,0.173934492,0.406739294,0.06356,0.405,0.638526912,0.353535354 +2018/11/25 08:00,0.235170885,0.617288816,0.472133333,0.201666667,0.650424929,0.353535354 +2018/11/25 09:00,0.261804247,0.716837721,0.678533333,0.203333333,0.644759207,0.352387511 +2018/11/25 10:00,0.262624534,0.761460192,0.741933333,0.201666667,0.647592068,0.352341598 +2018/11/25 11:00,0.288906893,0.769490364,0.82816,0.145,0.644192635,0.352938476 +2018/11/25 12:00,0.34007097,0.76193842,0.90477,0,0.645892351,0.334986226 +2018/11/25 13:00,0.396172635,0.700351379,0.714136667,0,0.641359773,0.309733701 +2018/11/25 14:00,0.456096857,0.673567179,0.90944,0,0.639660057,0.31584022 +2018/11/25 15:00,0.538560218,0.572866455,0.85168,0,0.640793201,0.354637282 +2018/11/25 16:00,0.579124995,0.394666902,0.82004,0,0.634560907,0.305647383 +2018/11/25 17:00,0.618889199,0.246767377,0.810606667,0.161666667,0.642492918,0.361248852 +2018/11/25 18:00,0.596767415,0.048824778,0.734126667,0.465,0.637393768,0.360284665 +2018/11/25 19:00,0.510017021,0.000467375,0.65606,0.615,0.630594901,0.360284665 +2018/11/25 20:00,0.442051006,0,0.62682,0.495,0.620963173,0.358126722 +2018/11/25 21:00,0.402447398,0,0.546023333,0.225,0.628328612,0.351928375 +2018/11/25 22:00,0.282200831,0,0.38828,0,0.678753541,0.351239669 +2018/11/25 23:00,0.211265723,0,0.285106667,0,0.715580737,0.351652893 +2018/11/26 00:00,0.146474112,0,0.187933333,0,0.68611898,0.343342516 +2018/11/26 01:00,0.103987479,0,0.125903333,0,0.707082153,0.296235078 +2018/11/26 02:00,0.08794284,0,0.065243333,0,0.700283286,0.27943067 +2018/11/26 03:00,0.097993038,0,0.06531,0,0.714447592,0.278971534 +2018/11/26 04:00,0.123329134,0,0.065383333,0,0.662322946,0.281955923 +2018/11/26 05:00,0.159069316,0.009234902,0.06505,0.073333333,0.642492918,0.286134068 +2018/11/26 06:00,0.148602723,0.12610654,0.078696667,0.526666667,0.644192635,0.287144169 +2018/11/26 07:00,0.122444417,0.278451217,0.106606667,0.548333333,0.649291785,0.286593205 +2018/11/26 08:00,0.14372668,0.436707616,0.464913333,0.196666667,0.651558074,0.287924702 +2018/11/26 09:00,0.166133112,0.57562458,0.79109,0,0.652124646,0.328833792 +2018/11/26 10:00,0.215516213,0.686871434,0.692603333,0,0.64815864,0.344214876 +2018/11/26 11:00,0.226662692,0.696633405,0.6305,0,0.652124646,0.343342516 +2018/11/26 12:00,0.231163692,0.649648281,0.576283333,0,0.657790368,0.339072544 +2018/11/26 13:00,0.25980642,0.661703037,0.634123333,0,0.295750708,0.314049587 +2018/11/26 14:00,0.323868619,0.586660471,0.7518,0,0.228328612,0.279155188 +2018/11/26 15:00,0.448177674,0.511776637,0.848526667,0,0.648725212,0.275298439 +2018/11/26 16:00,0.559616494,0.293135213,0.801166667,0,0.661756374,0.278787879 +2018/11/26 17:00,0.615595549,0.157983706,0.814383333,0.181666667,0.658356941,0.284618916 +2018/11/26 18:00,0.595676905,0.037636261,0.72519,0.48,0.64305949,0.285858586 +2018/11/26 19:00,0.589087683,0.000274727,0.638166667,0.71,0.623796034,0.285720845 +2018/11/26 20:00,0.575028849,0,0.527923333,0.403333333,0.620396601,0.283425161 +2018/11/26 21:00,0.544814786,0,0.37431,0.4,0.63796034,0.281404959 +2018/11/26 22:00,0.479502923,0,0.250303333,0.05,0.635694051,0.280899908 +2018/11/26 23:00,0.431721929,0,0.13667,0,0.718413598,0.281083563 +2018/11/27 00:00,0.351650671,0,0.06639,0,0.716147309,0.269788797 +2018/11/27 01:00,0.294766704,0,0.06562,0,0.715014164,0.264692378 +2018/11/27 02:00,0.258105262,0,0.065693333,0,0.720113314,0.265426997 +2018/11/27 03:00,0.243661288,0,0.06573,0,0.711614731,0.265013774 +2018/11/27 04:00,0.235448802,0,0.065706667,0,0.245892351,0.264784206 +2018/11/27 05:00,0.248721487,0.012408848,0.07906,0.27,0.057790368,0.261616162 +2018/11/27 06:00,0.267546255,0.162294548,0.27966,0.513333333,0.085552408,0.26184573 +2018/11/27 07:00,0.331177636,0.378951153,0.685653333,0.201666667,0.355240793,0.279935721 +2018/11/27 08:00,0.429032196,0.559973273,0.961306667,0.203333333,0.428895184,0.305280073 +2018/11/27 09:00,0.578435973,0.651487936,0.98518,0.201666667,0.508215297,0.344995409 +2018/11/27 10:00,0.68738316,0.714251216,0.985256667,0.01,0.514447592,0.352020202 +2018/11/27 11:00,0.756642113,0.757289766,0.982156667,0,0.542209632,0.314784206 +2018/11/27 12:00,0.74595963,0.727585996,0.974216667,0,0.590934844,0.280945822 +2018/11/27 13:00,0.693407412,0.702275826,0.972826667,0,0.620396601,0.270798898 +2018/11/27 14:00,0.739534369,0.608863851,0.989446667,0,0.595467422,0.264921947 +2018/11/27 15:00,0.751941089,0.560613625,0.984143333,0,0.679320113,0.295730028 +2018/11/27 16:00,0.773713794,0.422380426,0.92473,0.038333333,0.597167139,0.306014692 +2018/11/27 17:00,0.843623784,0.232203447,0.905183333,0.201666667,0.121813031,0.28865932 +2018/11/27 18:00,0.851475651,0.051338701,0.65808,0.431666667,0.621529745,0.286639118 +2018/11/27 19:00,0.748013713,0.000361554,0.617016667,0.82,0.678186969,0.305096419 +2018/11/27 20:00,0.643839674,0,0.648,0.398333333,0.658923513,0.351606979 +2018/11/27 21:00,0.563988152,0,0.609996667,0.026666667,0.662322946,0.356703398 +2018/11/27 22:00,0.49681694,0,0.384073333,0,0.669121813,0.312901745 +2018/11/27 23:00,0.519220487,0,0.22315,0,0.72407932,0.284251607 +2018/11/28 00:00,0.54626303,0,0.209333333,0,0.755807365,0.281818182 +2018/11/28 01:00,0.523537331,0,0.208803333,0,0.763739377,0.294719927 +2018/11/28 02:00,0.5251981,0,0.20904,0,0.747875354,0.298301194 +2018/11/28 03:00,0.510484864,0,0.211976667,0,0.743342776,0.297933884 +2018/11/28 04:00,0.508388949,0,0.212316667,0,0.733711048,0.296143251 +2018/11/28 05:00,0.554587068,0.015438987,0.099586667,0.258333333,0.709348442,0.293755739 +2018/11/28 06:00,0.596419298,0.194188673,0.252106667,0.545,0.733144476,0.292929293 +2018/11/28 07:00,0.595075874,0.461692862,0.782376667,0.201666667,0.728611898,0.291230487 +2018/11/28 08:00,0.622121783,0.662503476,0.98871,0.203333333,0.71388102,0.301974288 +2018/11/28 09:00,0.598182002,0.814271566,0.998916667,0.201666667,0.70878187,0.344582185 +2018/11/28 10:00,0.567828019,0.893489984,0.996463333,0,0.710481586,0.351652893 +2018/11/28 11:00,0.53674222,0.933196535,0.99692,0,0.707648725,0.315426997 +2018/11/28 12:00,0.532197946,0.928393219,0.9981,0,0.718413598,0.285629017 +2018/11/28 13:00,0.518063623,0.893791167,0.996206667,0,0.695750708,0.284710744 +2018/11/28 14:00,0.513199119,0.839551211,0.99377,0.085,0.654957507,0.278604224 +2018/11/28 15:00,0.517964092,0.718420963,0.992336667,0,0.666855524,0.274150597 +2018/11/28 16:00,0.532242663,0.54565558,1.003156667,0,0.669688385,0.275573921 +2018/11/28 17:00,0.576394392,0.30320515,0.98038,0.16,0.450424929,0.27594123 +2018/11/28 18:00,0.604326942,0.070942687,0.87038,0.435,0.308215297,0.286547291 +2018/11/28 19:00,0.600522176,0.000279476,0.722226667,0.808333333,0.300283286,0.295867769 +2018/11/28 20:00,0.559197696,0,0.710283333,0.553333333,0.295750708,0.346372819 +2018/11/28 21:00,0.541988499,0,0.67254,0.146666667,0.294617564,0.35523416 +2018/11/28 22:00,0.490886929,0,0.465013333,0,0.301983003,0.325665748 +2018/11/28 23:00,0.458464919,0,0.378963333,0,0.307082153,0.28503214 +2018/11/29 00:00,0.390045005,0,0.158206667,0,0.311614731,0.270890725 +2018/11/29 01:00,0.347669443,0,0.147026667,0,0.310481586,0.267217631 +2018/11/29 02:00,0.336348425,0,0.146583333,0,0.28101983,0.272681359 +2018/11/29 03:00,0.329675539,0,0.145786667,0,0.298016997,0.27369146 +2018/11/29 04:00,0.350766915,0,0.16611,0,0.296883853,0.273232323 +2018/11/29 05:00,0.369030561,0.016640325,0.20204,0,0.277053824,0.270982553 +2018/11/29 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18:00,0.561839828,0.053092885,0.687716667,0.401666667,0.29631728,0.281818182 +2018/11/29 19:00,0.567866004,0.000538601,0.601746667,0.803333333,0.290084986,0.371120294 +2018/11/29 20:00,0.566166769,0,0.479806667,0.47,0.284419263,0.401515152 +2018/11/29 21:00,0.535585837,0,0.352236667,0,0.301416431,0.350045914 +2018/11/29 22:00,0.442439031,0,0.21346,0,0.17733711,0.314508724 +2018/11/29 23:00,0.410720468,0,0.198126667,0,0.107648725,0.281313131 +2018/11/30 00:00,0.403801881,0,0.1025625,0,0.136543909,0.316666667 +2018/11/30 01:00,0.40550929,0,0.001735,0,0.111614731,0.37594123 +2018/11/30 02:00,0.424252798,0,0,0,0.115014164,0.328512397 +2018/11/30 03:00,0.443192965,0,0,0,0.107648725,0.291138659 +2018/11/30 04:00,0.444754683,0,0,0,0.197167139,0.319054178 +2018/11/30 05:00,0.45642478,0.013635284,0.00981,0.3,0.065155807,0.410055096 +2018/11/30 06:00,0.464063161,0.163814027,0.144225,0.543333333,0.090084986,0.385858586 +2018/11/30 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12:00,0.683705812,0.676530162,0.6448375,0,0.789235127,0.537924702 +2018/12/18 13:00,0.690264261,0.671365292,0.8136675,0,0.780736544,0.541781451 +2018/12/18 14:00,0.686348425,0.620673048,0.8593875,0,0.816997167,0.539990817 +2018/12/18 15:00,0.740727295,0.590773917,0.7875725,0,0.835127479,0.566758494 +2018/12/18 16:00,0.780354464,0.421499264,0.7273675,0,0.853824363,0.56932966 +2018/12/18 17:00,0.786039255,0.271103453,0.72388,0,0.826062323,0.551882461 +2018/12/18 18:00,0.734337135,0.081611597,0.699975,0.186666667,0.77223796,0.546235078 +2018/12/18 19:00,0.652958514,0.002480006,0.637185,0.55,0.76713881,0.562304867 +2018/12/18 20:00,0.613950167,0,0.59676,0.551666667,0.699150142,0.540358127 +2018/12/18 21:00,0.585038177,0,0.499915,0.495,0.671388102,0.546556474 +2018/12/18 22:00,0.522793015,0,0.1877,0.051666667,0.658356941,0.548989899 +2018/12/18 23:00,0.447756472,0,0.1016325,0,0.642492918,0.547015611 +2018/12/19 00:00,0.345839424,0,0,0,0.61529745,0.539990817 +2018/12/19 01:00,0.310190118,0,0,0,0.625495751,0.546556474 +2018/12/19 02:00,0.281972439,0,0,0,0.692917847,0.55261708 +2018/12/19 03:00,0.265667192,0,0,0,0.713314448,0.547796143 +2018/12/19 04:00,0.276833385,0,0.0241275,0,0.726912181,0.512442608 +2018/12/19 05:00,0.277422876,0.006978069,0.2150675,0.09,0.739943343,0.463865932 +2018/12/19 06:00,0.218770435,0.127581248,0.248235,0.545,0.766005666,0.52855831 +2018/12/19 07:00,0.180181367,0.369615179,0.448735,0.201666667,0.737677054,0.520247934 +2018/12/19 08:00,0.156179559,0.534410083,0.8424825,0.201666667,0.71898017,0.532644628 +2018/12/19 09:00,0.194381563,0.698218004,0.877375,0.201666667,0.726912181,0.544811754 +2018/12/19 10:00,0.24003058,0.77306046,0.87882,0.201666667,0.730878187,0.513269054 +2018/12/19 11:00,0.31008049,0.838968518,0.878925,0.198333333,0.721246459,0.502112029 +2018/12/19 12:00,0.414773339,0.809661577,0.878725,0,0.725212465,0.527272727 +2018/12/19 13:00,0.431940224,0.822908173,0.878805,0,0.718413598,0.50224977 +2018/12/19 14:00,0.525795765,0.77645758,0.8569,0,0.714447592,0.492240588 +2018/12/19 15:00,0.579057199,0.676856443,0.85242,0,0.751274788,0.492929293 +2018/12/19 16:00,0.574234046,0.55463,0.8713325,0,0.751274788,0.47594123 +2018/12/19 17:00,0.571451033,0.352476953,0.8499625,0.068333333,0.761473088,0.474334252 +2018/12/19 18:00,0.562411047,0.111275344,0.8007625,0.43,0.724645892,0.474885216 +2018/12/19 19:00,0.477699831,0.004626269,0.6935,0.678333333,0.72917847,0.482369146 +2018/12/19 20:00,0.368747355,0,0.6611625,0.523333333,0.750708215,0.487327824 +2018/12/19 21:00,0.368017944,0,0.635185,0.148333333,0.763172805,0.480073462 +2018/12/19 22:00,0.346435166,0,0.208035,0,0.788668555,0.474380165 +2018/12/19 23:00,0.302319498,0,0.13,0,0.802832861,0.48902663 +2018/12/20 00:00,0.283068239,0,0.0237825,0,0.788101983,0.487052342 +2018/12/20 01:00,0.288178444,0,0,0,0.810764873,0.475390266 +2018/12/20 02:00,0.273813325,0,0,0,0.781303116,0.508172635 +2018/12/20 03:00,0.253946609,0,0,0,0.823229462,0.512258953 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18:00,0.685360811,0.111708803,0.7397425,0.426666667,0.732011331,0.56010101 +2018/12/21 19:00,0.69941676,0.004079528,0.66749,0.631666667,0.704815864,0.560055096 +2018/12/21 20:00,0.666917337,0,0.6591975,0.643333333,0.755240793,0.534251607 +2018/12/21 21:00,0.603809093,0,0.64127,0.358333333,0.77733711,0.572773186 +2018/12/21 22:00,0.504898642,0,0.2079275,0,0.809631728,0.562993572 +2018/12/21 23:00,0.322365081,0,0.1039925,0,0.799433428,0.553351699 +2018/12/22 00:00,0.257426338,0,0.0026725,0,0.783002833,0.563636364 +2018/12/22 01:00,0.245737489,0,0,0,0.828895184,0.562304867 +2018/12/22 02:00,0.243596857,0,0,0,0.826062323,0.5543618 +2018/12/22 03:00,0.263631861,0,0,0,0.816430595,0.571671258 +2018/12/22 04:00,0.271714044,0,0.0352425,0,0.783569405,0.572773186 +2018/12/22 05:00,0.209085664,0.00861897,0.22994,0.088333333,0.783569405,0.569146006 +2018/12/22 06:00,0.197963707,0.143729777,0.2486275,0.295,0.738243626,0.556152433 +2018/12/22 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23:00,0.290165692,0,0.1160675,0,0.783002833,0.497337006 +2018/12/25 00:00,0.225825095,0,0.0068,0,0.733711048,0.497107438 +2018/12/25 01:00,0.200363984,0,0,0,0.724645892,0.496556474 +2018/12/25 02:00,0.166418721,0,0,0,0.726912181,0.496372819 +2018/12/25 03:00,0.113574643,0,0,0,0.714447592,0.496235078 +2018/12/25 04:00,0.105181848,0,0.0107075,0,0.810764873,0.496740129 +2018/12/25 05:00,0.082548467,0.007481397,0.23383,0.001666667,0.864022663,0.49738292 +2018/12/25 06:00,0.056021368,0.141398327,0.346335,0.386666667,0.876487252,0.497337006 +2018/12/25 07:00,0.02792678,0.398192906,0.6747975,0.245,0.851558074,0.49775023 +2018/12/25 08:00,0.048162288,0.611006044,0.870725,0.203333333,0.849858357,0.493526171 +2018/12/25 09:00,0.081315152,0.742695311,0.8826175,0.201666667,0.867422096,0.482369146 +2018/12/25 10:00,0.092948225,0.823876163,0.8811475,0.163333333,0.860623229,0.482185491 +2018/12/25 11:00,0.153430203,0.869620605,0.875345,0,0.835694051,0.481680441 +2018/12/25 12:00,0.199699485,0.875991561,0.875735,0,0.855524079,0.480716253 +2018/12/25 13:00,0.244537831,0.868025153,0.8757575,0,0.854957507,0.479476584 +2018/12/25 14:00,0.298850829,0.810635671,0.8710375,0,0.867988669,0.477272727 +2018/12/25 15:00,0.32690647,0.71607052,0.8715025,0,0.865155807,0.476262626 +2018/12/25 16:00,0.411303227,0.556925498,0.8648725,0,0.821529745,0.476721763 +2018/12/25 17:00,0.444515713,0.356743025,0.8498075,0,0.807365439,0.474701561 +2018/12/25 18:00,0.435861349,0.119507662,0.7960625,0,0.824362606,0.475573921 +2018/12/25 19:00,0.428862465,0.005295111,0.6862225,0.575,0.833994334,0.477272727 +2018/12/25 20:00,0.422049179,0,0.6672925,0.7,0.842492918,0.479109275 +2018/12/25 21:00,0.365584971,0,0.6570625,0.471666667,0.882152975,0.479752066 +2018/12/25 22:00,0.332156595,0,0.2450775,0.038333333,0.944475921,0.47943067 +2018/12/25 23:00,0.279095665,0,0.1261925,0,0.902549575,0.485950413 +2018/12/26 00:00,0.237171597,0,0.0198425,0,0.902549575,0.485766758 +2018/12/26 01:00,0.220556218,0,0,0,0.881586402,0.487006428 +2018/12/26 02:00,0.151604031,0,0,0,0.86572238,0.487235996 +2018/12/26 03:00,0.121091857,0,0,0,0.877053824,0.488337925 +2018/12/26 04:00,0.121086087,0,0.011345,0,0.857790368,0.490449954 +2018/12/26 05:00,0.087898604,0.007660478,0.2198075,0,0.849858357,0.496051423 +2018/12/26 06:00,0.071392853,0.145070174,0.348555,0.378333333,0.846458924,0.496372819 +2018/12/26 07:00,0.091740874,0.402410815,0.6448825,0.401666667,0.849858357,0.494168962 +2018/12/26 08:00,0.101465554,0.60101683,0.8624325,0.381666667,0.819263456,0.492378329 +2018/12/26 09:00,0.11963015,0.717891859,0.880805,0.035,0.837393768,0.484986226 +2018/12/26 10:00,0.174069123,0.809097199,0.8792775,0,0.851558074,0.470752984 +2018/12/26 11:00,0.252921491,0.843271898,0.879175,0,0.850991501,0.470661157 +2018/12/26 12:00,0.300730854,0.829370027,0.87746,0,0.812464589,0.470064279 +2018/12/26 13:00,0.36301881,0.832406271,0.8764425,0,0.818696884,0.469651056 +2018/12/26 14:00,0.367024561,0.774355409,0.871425,0,0.809631728,0.456795225 +2018/12/26 15:00,0.388415971,0.679965269,0.8646675,0,0.815864023,0.455555556 +2018/12/26 16:00,0.426309286,0.53623617,0.8606325,0,0.83286119,0.477318641 +2018/12/26 17:00,0.525971266,0.335053826,0.81981,0,0.801133144,0.480899908 +2018/12/26 18:00,0.571753472,0.117377679,0.776805,0.498333333,0.798300283,0.481680441 +2018/12/26 19:00,0.548601762,0.004927452,0.6898125,0.701666667,0.828895184,0.474747475 +2018/12/26 20:00,0.489982498,0,0.65873,0.523333333,0.839093484,0.474517906 +2018/12/26 21:00,0.483004289,0,0.64791,0.055,0.871954674,0.475573921 +2018/12/26 22:00,0.440416683,0,0.2656425,0,0.922379603,0.484205693 +2018/12/26 23:00,0.345278301,0,0.137585,0,0.870254958,0.475665748 +2018/12/27 00:00,0.251064065,0,0.0120075,0,0.878753541,0.466666667 +2018/12/27 01:00,0.23610657,0,0,0,0.850991501,0.476951331 +2018/12/27 02:00,0.185003558,0,0,0,0.847025496,0.480394858 +2018/12/27 03:00,0.170975978,0,0,0,0.849291785,0.471166208 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06:00,0.375303881,0.133927106,0.108125,0.37,0.869121813,0.423002755 +2018/12/28 07:00,0.327600781,0.401013438,0.570325,0.4,0.833427762,0.428466483 +2018/12/28 08:00,0.288567431,0.607614351,0.9181475,0.401666667,0.816997167,0.440449954 +2018/12/28 09:00,0.228958149,0.750715308,0.9776625,0.3,0.802266289,0.443112948 +2018/12/28 10:00,0.176979075,0.848475434,0.9816175,0.098333333,0.864022663,0.453397612 +2018/12/28 11:00,0.130967996,0.858730557,0.9837675,0,0.864022663,0.464370983 +2018/12/28 12:00,0.150945301,0.862390194,0.98265,0,0.860623229,0.441184573 +2018/12/28 13:00,0.184209236,0.843828136,0.9813575,0,0.859490085,0.464921947 +2018/12/28 14:00,0.262353348,0.780978707,0.981865,0,0.880453258,0.430348944 +2018/12/28 15:00,0.331180521,0.696988855,0.9835025,0,0.887252125,0.413498623 +2018/12/28 16:00,0.434425607,0.574083395,0.963225,0,0.894050992,0.463865932 +2018/12/28 17:00,0.565424857,0.376983971,0.8894,0.196666667,0.898583569,0.422176309 +2018/12/28 18:00,0.595731719,0.133768374,0.832765,0.436666667,0.84305949,0.464416896 +2018/12/28 19:00,0.606192541,0.007862623,0.72992,0.685,0.90368272,0.476400367 +2018/12/28 20:00,0.671037043,0,0.678865,0.621666667,0.910481586,0.478466483 +2018/12/28 21:00,0.701951668,0,0.6708025,0.055,0.895184136,0.472038567 +2018/12/28 22:00,0.683730334,0,0.2385875,0,0.935410765,0.460238751 +2018/12/28 23:00,0.633472131,0,0.137965,0,0.931444759,0.490036731 +2018/12/29 00:00,0.575377447,0,0.00311,0,0.934844193,0.493755739 +2018/12/29 01:00,0.504336558,0,0,0,0.928045326,0.467401286 +2018/12/29 02:00,0.395066258,0,0,0,0.890084986,0.489393939 +2018/12/29 03:00,0.32744884,0,0,0,0.925212465,0.489485767 +2018/12/29 04:00,0.309250587,0,0.0028975,0,0.901983003,0.50748393 +2018/12/29 05:00,0.336032523,0.004904388,0.17026,0.065,0.894617564,0.505371901 +2018/12/29 06:00,0.348969593,0.117739233,0.2566775,0.525,0.869121813,0.482874197 +2018/12/29 07:00,0.363010636,0.362841967,0.4899225,0.4,0.877053824,0.514600551 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20:00,0.607968227,0,0.5911275,0.733333333,0.828895184,0.533516988 +2018/12/29 21:00,0.655090491,0,0.3847375,0.13,0.864022663,0.548301194 +2018/12/29 22:00,0.696460168,0,0.2034025,0,0.91898017,0.530716253 +2018/12/29 23:00,0.655169346,0,0.1342775,0,0.89631728,0.525252525 +2018/12/30 00:00,0.560165596,0,0.01669,0,0.927478754,0.541735537 +2018/12/30 01:00,0.500364946,0,0,0,0.905382436,0.544031221 +2018/12/30 02:00,0.537401431,0,0,0,0.892351275,0.525298439 +2018/12/30 03:00,0.452047352,0,0,0,0.856090652,0.533057851 +2018/12/30 04:00,0.435752202,0,0.001435,0,0.854957507,0.548668503 +2018/12/30 05:00,0.389749779,0.004297953,0.146465,0.176666667,0.75184136,0.539807163 +2018/12/30 06:00,0.281356983,0.103596551,0.250025,0.4,0.831728045,0.538980716 +2018/12/30 07:00,0.242252471,0.299017766,0.3374025,0.405,0.840226629,0.537695133 +2018/12/30 08:00,0.233110551,0.430690752,0.44735,0.388333333,0.86572238,0.528512397 +2018/12/30 09:00,0.229135093,0.538247444,0.493055,0.01,0.864589235,0.526446281 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14:00,0.647558853,0.712321343,0.834985,0,0.854390935,0.521625344 +2019/01/01 15:00,0.73966323,0.566698322,0.8051075,0,0.83796034,0.519651056 +2019/01/01 16:00,0.73379188,0.40081672,0.774025,0,0.845892351,0.517355372 +2019/01/01 17:00,0.764498307,0.21817744,0.85564,0.066666667,0.852124646,0.508448118 +2019/01/01 18:00,0.697587222,0.088944437,0.8052125,0.401666667,0.828328612,0.492470156 +2019/01/01 19:00,0.674464842,0.005588832,0.79402,0.148333333,0.860056657,0.503948577 +2019/01/01 20:00,0.573594549,4.07E-06,0.7850975,0.361666667,0.811331445,0.510009183 +2019/01/01 21:00,0.490674886,0,0.75259,0.365,0.817563739,0.51134068 +2019/01/01 22:00,0.466326403,0,0.2963025,0.003333333,0.848725212,0.500137741 +2019/01/01 23:00,0.539801227,0,0.1663325,0,0.77733711,0.4956382 +2019/01/02 00:00,0.556297842,0,0.1027825,0,0.795467422,0.486179982 +2019/01/02 01:00,0.591754818,0,0.1030425,0,0.8101983,0.476492195 +2019/01/02 02:00,0.572823787,0,0.1030175,0,0.779603399,0.478328742 +2019/01/02 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15:00,0.549439839,0.528292147,0.9892625,0,0.764305949,0.425482094 +2019/01/02 16:00,0.657446051,0.443136231,0.98909,0,0.762606232,0.424334252 +2019/01/02 17:00,0.7246966,0.311953005,0.9660475,0.1,0.726912181,0.417033976 +2019/01/02 18:00,0.760458899,0.132229224,0.9088775,0.401666667,0.726912181,0.421028466 +2019/01/02 19:00,0.759337616,0.007506495,0.7976125,0.675,0.725779037,0.414187328 +2019/01/02 20:00,0.730291957,9.56E-05,0.7623275,0.573333333,0.779603399,0.4184573 +2019/01/02 21:00,0.690421491,0,0.761645,0.088333333,0.81529745,0.316850321 +2019/01/02 22:00,0.655060199,0,0.318365,0,0.849291785,0.213774105 +2019/01/02 23:00,0.585552179,0,0.22646,0,0.831728045,0.355004591 +2019/01/03 00:00,0.585440628,0,0.10483,0,0.882719547,0.328741965 +2019/01/03 01:00,0.567234681,0,0.10478,0,0.882152975,0.295224977 +2019/01/03 02:00,0.532863407,0,0.103955,0,0.890651558,0.290495868 +2019/01/03 03:00,0.51574749,0,0.104005,0,0.89631728,0.285215794 +2019/01/03 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19:00,0.614594472,0.008480589,0.805465,0.535,0.620396601,0.295500459 +2019/01/06 20:00,0.60827884,9.23E-05,0.7912625,0.55,0.61529745,0.373461892 +2019/01/06 21:00,0.547701177,0,0.777075,0.103333333,0.671388102,0.363085399 +2019/01/06 22:00,0.532185444,0,0.33737,0,0.71898017,0.36097337 +2019/01/06 23:00,0.498648402,0,0.231775,0,0.742776204,0.361432507 +2019/01/07 00:00,0.404214909,0,0.1164225,0,0.73427762,0.353168044 +2019/01/07 01:00,0.353443186,0,0.108075,0,0.698583569,0.359779614 +2019/01/07 02:00,0.335147806,0,0.107865,0,0.673087819,0.360651974 +2019/01/07 03:00,0.335471401,0,0.1071825,0,0.698583569,0.361570248 +2019/01/07 04:00,0.300061546,0,0.099905,0,0.676487252,0.380073462 +2019/01/07 05:00,0.271267358,0.001574424,0.11534,0.19,0.626062323,0.409412305 +2019/01/07 06:00,0.299214813,0.094567864,0.3851425,0.52,0.651558074,0.404545455 +2019/01/07 07:00,0.195937993,0.323083185,0.6417875,0.411666667,0.658923513,0.422222222 +2019/01/07 08:00,0.127971497,0.474126809,0.9021325,0.296666667,0.645325779,0.456519743 +2019/01/07 09:00,0.136873966,0.598776955,0.8515025,0.095,0.629461756,0.462672176 +2019/01/07 10:00,0.139223276,0.652115399,0.82212,0,0.624929178,0.468778696 +2019/01/07 11:00,0.173529638,0.701697203,0.8803025,0,0.581303116,0.476216713 +2019/01/07 12:00,0.21161961,0.701732477,0.8269325,0,0.72917847,0.474747475 +2019/01/07 13:00,0.287534619,0.68198604,0.7811425,0,0.758073654,0.468640955 +2019/01/07 14:00,0.384619379,0.609410592,0.77418,0,0.755240793,0.463131313 +2019/01/07 15:00,0.432088799,0.527328228,0.6786375,0,0.758073654,0.4684573 +2019/01/07 16:00,0.448053622,0.429966287,0.6452175,0,0.763739377,0.47318641 +2019/01/07 17:00,0.457149863,0.259360055,0.6880975,0,0.765439093,0.474334252 +2019/01/07 18:00,0.419476767,0.093056526,0.690465,0.338333333,0.770538244,0.471212121 +2019/01/07 19:00,0.379603897,0.005508788,0.7021625,0.723333333,0.756373938,0.459641873 +2019/01/07 20:00,0.405869908,0.000139059,0.57978,0.488333333,0.748441926,0.470890725 +2019/01/07 21:00,0.383760626,0,0.231065,0.003333333,0.761473088,0.424012856 +2019/01/07 22:00,0.335007886,0,0.0994225,0,0.790368272,0.417309458 +2019/01/07 23:00,0.307468169,0,0.099455,0,0.83796034,0.419146006 +2019/01/08 00:00,0.32695888,0,0.100565,0,0.841359773,0.423002755 +2019/01/08 01:00,0.366392757,0,0.099405,0,0.712181303,0.422543618 +2019/01/08 02:00,0.379579855,0,0.0715525,0,0.605665722,0.4228191 +2019/01/08 03:00,0.343114109,0,0,0,0.558073654,0.420431589 +2019/01/08 04:00,0.366233604,0,0,0,0.712181303,0.433930211 +2019/01/08 05:00,0.352279109,0.003566704,0,0.093333333,0.747308782,0.425390266 +2019/01/08 06:00,0.322620879,0.091516697,0.004685,0.4,0.769405099,0.424288338 +2019/01/08 07:00,0.31659278,0.318900549,0.2431075,0.21,0.772804533,0.430853994 +2019/01/08 08:00,0.302244009,0.526655994,0.8108425,0.198333333,0.762606232,0.427915519 +2019/01/08 09:00,0.27932021,0.676381606,0.8788525,0.201666667,0.764305949,0.402295684 +2019/01/08 10:00,0.250790957,0.823473229,0.8787775,0.19,0.758073654,0.403581267 +2019/01/08 11:00,0.272936781,0.871747875,0.8798575,0,0.759206799,0.406932966 +2019/01/08 12:00,0.311916279,0.871766869,0.8968,0,0.753541076,0.397015611 +2019/01/08 13:00,0.347549236,0.836700832,0.9646775,0,0.779036827,0.395362718 +2019/01/08 14:00,0.421013963,0.762468881,0.9755775,0,0.752407932,0.394719927 +2019/01/08 15:00,0.519069027,0.694013662,0.977,0,0.657790368,0.274426079 +2019/01/08 16:00,0.601348713,0.555852366,0.9850725,0,0.754674221,0.331313131 +2019/01/08 17:00,0.650167327,0.357513618,0.9620625,0,0.759773371,0.295775941 +2019/01/08 18:00,0.647222276,0.130208453,0.8970175,0.111666667,0.748441926,0.270707071 +2019/01/08 19:00,0.558831788,0.008975777,0.784555,0.693333333,0.730311615,0.307438017 +2019/01/08 20:00,0.519565238,8.68E-05,0.765085,0.508333333,0.739376771,0.382369146 +2019/01/08 21:00,0.480179444,0,0.76353,0.121666667,0.750141643,0.392745638 +2019/01/08 22:00,0.541252356,0,0.302655,0,0.776203966,0.377823691 +2019/01/08 23:00,0.490496019,0,0.2264,0,0.814730878,0.366115702 +2019/01/09 00:00,0.440591703,0,0.0424475,0,0.695750708,0.350459137 +2019/01/09 01:00,0.365530638,0,0,0,0.611898017,0.337052342 +2019/01/09 02:00,0.356680098,0,0,0,0.582436261,0.375482094 +2019/01/09 03:00,0.330726622,0,0,0,0.618130312,0.385674931 +2019/01/09 04:00,0.315202235,0,0,0,0.793767705,0.393526171 +2019/01/09 05:00,0.320810574,0.003568739,0.0955,0.181666667,0.776203966,0.386868687 +2019/01/09 06:00,0.311487864,0.102802895,0.32428,0.398333333,0.766572238,0.445500459 +2019/01/09 07:00,0.279363965,0.354093434,0.549905,0.401666667,0.794334278,0.468503214 +2019/01/09 08:00,0.278503289,0.555159104,0.852915,0.388333333,0.785835694,0.497566575 +2019/01/09 09:00,0.289731988,0.715864983,0.8831225,0.005,0.761473088,0.451974288 +2019/01/09 10:00,0.254822191,0.824264851,0.90878,0,0.764305949,0.480578512 +2019/01/09 11:00,0.296263511,0.878175133,0.8821175,0,0.759206799,0.479981635 +2019/01/09 12:00,0.406419972,0.875107008,0.97117,0,0.754674221,0.49600551 +2019/01/09 13:00,0.501829057,0.764248842,0.9870025,0,0.763172805,0.489623508 +2019/01/09 14:00,0.548710909,0.703123071,0.9865625,0,0.773937677,0.477410468 +2019/01/09 15:00,0.615673924,0.630546944,0.98293,0,0.78470255,0.491781451 +2019/01/09 16:00,0.666888968,0.526482339,0.9914175,0,0.794334278,0.498117539 +2019/01/09 17:00,0.643639651,0.326826257,0.9636075,0,0.775637394,0.484113866 +2019/01/09 18:00,0.607435473,0.123148984,0.899295,0.175,0.773371105,0.491597796 +2019/01/09 19:00,0.548300285,0.007433235,0.78638,0.725,0.75184136,0.482185491 +2019/01/09 20:00,0.477082933,0.000143808,0.7632175,0.44,0.747875354,0.458448118 +2019/01/09 21:00,0.381463246,0,0.753195,0.103333333,0.837393768,0.451790634 +2019/01/09 22:00,0.344859503,0,0.3212175,0,0.856090652,0.461524334 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12:00,0.351932915,0.902391822,0.99155,0.175,0.759206799,0.479292929 +2019/01/10 13:00,0.434006328,0.879035945,0.9938825,0,0.823229462,0.487235996 +2019/01/10 14:00,0.461716737,0.834374809,0.9924725,0,0.778470255,0.466804408 +2019/01/10 15:00,0.573003616,0.736234135,0.996095,0,0.823229462,0.467539027 +2019/01/10 16:00,0.634273185,0.592769589,0.9968075,0,0.801699717,0.472773186 +2019/01/10 17:00,0.624063834,0.373067244,0.9844875,0.033333333,0.794334278,0.467860422 +2019/01/10 18:00,0.651921376,0.129789919,0.9219775,0.28,0.773937677,0.460009183 +2019/01/10 19:00,0.561348425,0.007927065,0.7982375,0.783333333,0.763172805,0.458264463 +2019/01/10 20:00,0.49396565,8.28E-05,0.7825975,0.47,0.796033994,0.454591368 +2019/01/10 21:00,0.420461015,0,0.7807375,0.085,0.836827195,0.453764922 +2019/01/10 22:00,0.373191618,0,0.3375625,0,0.816430595,0.453948577 +2019/01/10 23:00,0.304313959,0,0.238885,0,0.831728045,0.453902663 +2019/01/11 00:00,0.231255529,0,0.116645,0,0.814730878,0.453856749 +2019/01/11 01:00,0.125365427,0,0.1039975,0,0.787535411,0.451561065 +2019/01/11 02:00,0.102179098,0,0.1044775,0,0.795467422,0.451836547 +2019/01/11 03:00,0.086387852,0,0.1047525,0,0.787535411,0.450734619 +2019/01/11 04:00,0.06048294,0,0.0748725,0,0.766005666,0.450275482 +2019/01/11 05:00,0.053548967,0.002753376,0.1655075,0.193333333,0.752407932,0.450229568 +2019/01/11 06:00,0.067867927,0.103382875,0.37892,0.4,0.790934844,0.450045914 +2019/01/11 07:00,0.060327153,0.355226938,0.650815,0.4,0.818696884,0.449816345 +2019/01/11 08:00,0.119996057,0.553642339,0.9549025,0.4,0.8,0.463636364 +2019/01/11 09:00,0.246400065,0.695606401,0.9756075,0.273333333,0.779036827,0.463085399 +2019/01/11 10:00,0.36078586,0.799995252,0.977385,0.2,0.821529745,0.440863177 +2019/01/11 11:00,0.469838347,0.841327102,0.9728675,0.12,0.817563739,0.457621671 +2019/01/11 12:00,0.509184714,0.86019509,0.968815,0,0.80509915,0.450367309 +2019/01/11 13:00,0.53961659,0.847884601,0.988995,0,0.818130312,0.447933884 +2019/01/11 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03:00,0.297780513,0,0.1097375,0,0.632294618,0.439072544 +2019/01/12 04:00,0.188773705,0,0.1092875,0,0.63286119,0.439669421 +2019/01/12 05:00,0.133315383,0.00296027,0.07763,0,0.634560907,0.439761249 +2019/01/12 06:00,0.068787745,0.107009951,0.22055,0.285,0.754107649,0.44513315 +2019/01/12 07:00,0.064993557,0.365094052,0.493735,0.243333333,0.785835694,0.437465565 +2019/01/12 08:00,0.077545005,0.567629003,0.979335,0.221666667,0.777903683,0.436593205 +2019/01/12 09:00,0.119546005,0.708202471,1.0011575,0.328333333,0.758073654,0.436363636 +2019/01/12 10:00,0.157957649,0.803191583,0.99962,0,0.758640227,0.436501377 +2019/01/12 11:00,0.24194859,0.822750799,0.99742,0,0.766572238,0.435812672 +2019/01/12 12:00,0.35404037,0.844002469,0.994365,0,0.75694051,0.435261708 +2019/01/12 13:00,0.434155383,0.813415503,0.9949775,0,0.77223796,0.439944904 +2019/01/12 14:00,0.499580721,0.777341455,0.998395,0,0.801699717,0.438842975 +2019/01/12 15:00,0.550258684,0.71418406,0.9924675,0,0.791501416,0.438567493 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05:00,0.188130842,0.002334163,0.0635775,0,0.650424929,0.426905418 +2019/01/13 06:00,0.162267762,0.10434408,0.3449125,0.385,0.641926346,0.442056933 +2019/01/13 07:00,0.188645805,0.36569099,0.6344625,0.21,0.72407932,0.426721763 +2019/01/13 08:00,0.263820345,0.58369274,0.970955,0.2,0.717280453,0.440679522 +2019/01/13 09:00,0.290294553,0.738373615,1.0002675,0.2,0.715580737,0.448209366 +2019/01/13 10:00,0.304345694,0.833256907,1.00043,0.183333333,0.711614731,0.429752066 +2019/01/13 11:00,0.363225564,0.872468949,0.9988825,0,0.701416431,0.430578512 +2019/01/13 12:00,0.459461188,0.892755344,0.9975,0,0.69121813,0.43067034 +2019/01/13 13:00,0.473320479,0.884245586,0.9972425,0,0.647025496,0.429017447 +2019/01/13 14:00,0.472780032,0.837798384,0.994375,0,0.641359773,0.424747475 +2019/01/13 15:00,0.483874101,0.755535582,0.9967,0,0.640793201,0.432369146 +2019/01/13 16:00,0.50694936,0.610372476,0.9987025,0,0.651558074,0.430899908 +2019/01/13 17:00,0.512695215,0.400839783,0.9880175,0,0.649291785,0.426721763 +2019/01/13 18:00,0.507698004,0.145175317,0.938705,0.341666667,0.641926346,0.423324151 +2019/01/13 19:00,0.530978574,0.008772953,0.8161475,0.543333333,0.64305949,0.422543618 +2019/01/13 20:00,0.484412144,8.21E-05,0.7810575,0.548333333,0.630594901,0.423507805 +2019/01/13 21:00,0.404331269,0,0.7771,0.2,0.666855524,0.429017447 +2019/01/13 22:00,0.357589337,0,0.35063,0.008333333,0.699716714,0.429568411 +2019/01/13 23:00,0.305667,0,0.2233575,0,0.684985836,0.418640955 +2019/01/14 00:00,0.260141074,0,0.11421,0,0.692917847,0.421487603 +2019/01/14 01:00,0.193060738,0,0.10672,0,0.699150142,0.437741047 +2019/01/14 02:00,0.17442253,0,0.1059875,0,0.669121813,0.430808081 +2019/01/14 03:00,0.127353156,0,0.10606,0,0.675354108,0.411891644 +2019/01/14 04:00,0.079088933,0,0.1115325,0,0.666855524,0.4315427 +2019/01/14 05:00,0.052762819,0.001959042,0.2042625,0.063333333,0.664589235,0.433379247 +2019/01/14 06:00,0.032117167,0.095305218,0.3933075,0.316666667,0.716713881,0.426078972 +2019/01/14 07:00,0.020141747,0.346237595,0.666795,0.4,0.722379603,0.422222222 +2019/01/14 08:00,0.013565508,0.569174258,0.973665,0.401666667,0.673087819,0.30573921 +2019/01/14 09:00,0.019224334,0.72166003,1.00022,0.361666667,0.665155807,0.315748393 +2019/01/14 10:00,0.059864119,0.822385174,1.0002025,0.025,0.666288952,0.307346189 +2019/01/14 11:00,0.116344674,0.872181333,0.9983225,0,0.660623229,0.317906336 +2019/01/14 12:00,0.170867792,0.884020377,0.9944325,0,0.662322946,0.394306703 +2019/01/14 13:00,0.214999808,0.870425793,0.9966425,0,0.664589235,0.417171717 +2019/01/14 14:00,0.255637189,0.828897225,0.9903875,0,0.667988669,0.410743802 +2019/01/14 15:00,0.332941301,0.733767696,0.9891775,0,0.675354108,0.411753903 +2019/01/14 16:00,0.472372774,0.596215549,0.9920675,0,0.68611898,0.41496786 +2019/01/14 17:00,0.54593655,0.393455389,0.9827675,0,0.697450425,0.39825528 +2019/01/14 18:00,0.560658922,0.142971394,0.930175,0.16,0.676487252,0.396280992 +2019/01/14 19:00,0.525523618,0.008105468,0.79804,0.55,0.68611898,0.411294766 +2019/01/14 20:00,0.484055853,7.39E-05,0.778385,0.533333333,0.678753541,0.411707989 +2019/01/14 21:00,0.42890622,0,0.7738775,0.056666667,0.711614731,0.388383838 +2019/01/14 22:00,0.380460245,0,0.331575,0,0.729745042,0.403351699 +2019/01/14 23:00,0.322701177,0,0.2498975,0,0.684985836,0.405555556 +2019/01/15 00:00,0.244862388,0,0.1256075,0,0.667988669,0.406382002 +2019/01/15 01:00,0.172879563,0,0.1104425,0,0.647592068,0.406014692 +2019/01/15 02:00,0.133587529,0,0.1077625,0,0.645325779,0.403213958 +2019/01/15 03:00,0.123728699,0,0.1058325,0,0.649858357,0.40348944 +2019/01/15 04:00,0.146813094,0,0.1147375,0,0.64305949,0.402938476 +2019/01/15 05:00,0.139003539,0.001134182,0.2121625,0.198333333,0.67592068,0.402295684 +2019/01/15 06:00,0.100174539,0.087023382,0.38366,0.548333333,0.684985836,0.410606061 +2019/01/15 07:00,0.090349367,0.340569397,0.670465,0.4,0.690084986,0.40959596 +2019/01/15 08:00,0.093548775,0.5531519,0.98155,0.4,0.690084986,0.376216713 +2019/01/15 09:00,0.094330115,0.717252864,1.0018825,0.323333333,0.687818697,0.377318641 +2019/01/15 10:00,0.093432415,0.8222685,0.99594,0.098333333,0.682719547,0.397796143 +2019/01/15 11:00,0.142275551,0.854227745,0.994595,0.065,0.640226629,0.379843893 +2019/01/15 12:00,0.194062296,0.871831989,0.996645,0,0.628328612,0.364279155 +2019/01/15 13:00,0.258462034,0.868631588,0.9910675,0,0.641359773,0.374885216 +2019/01/15 14:00,0.382989864,0.826059056,0.9875275,0,0.633427762,0.372359963 +2019/01/15 15:00,0.460884429,0.739277162,0.9884275,0,0.630028329,0.381818182 +2019/01/15 16:00,0.517978998,0.601987532,0.9936,0,0.64305949,0.383608815 +2019/01/15 17:00,0.537589914,0.397121131,0.988315,0,0.658923513,0.385215794 +2019/01/15 18:00,0.579102396,0.143223736,0.9391325,0.09,0.678186969,0.378833792 +2019/01/15 19:00,0.556477671,0.008069516,0.8088275,0.548333333,0.631728045,0.377869605 +2019/01/15 20:00,0.512823114,8.28E-05,0.7800525,0.603333333,0.635694051,0.377043159 +2019/01/15 21:00,0.555059238,0,0.771535,0.096666667,0.64815864,0.375573921 +2019/01/15 22:00,0.593713217,0,0.3517375,0,0.667422096,0.372176309 +2019/01/15 23:00,0.58450927,0,0.226655,0,0.673087819,0.3640955 +2019/01/16 00:00,0.566406701,0,0.1393325,0,0.669121813,0.354269972 +2019/01/16 01:00,0.522686752,0,0.11164,0,0.665155807,0.35523416 +2019/01/16 02:00,0.47465621,0,0.11164,0,0.672521246,0.362167126 +2019/01/16 03:00,0.51220862,0,0.1116925,0,0.673654391,0.326721763 +2019/01/16 04:00,0.554097588,0,0.09422,0,0.659490085,0.30573921 +2019/01/16 05:00,0.545933185,0.000883875,0.120895,0.206666667,0.647592068,0.305188246 +2019/01/16 06:00,0.526308805,0.084113988,0.255345,0.373333333,0.679320113,0.341230487 +2019/01/16 07:00,0.483656287,0.333344413,0.418395,0.061666667,0.712747875,0.390679522 +2019/01/16 08:00,0.444845559,0.550639334,0.892445,0.201666667,0.680453258,0.317309458 +2019/01/16 09:00,0.424901431,0.710662805,0.9975825,0.201666667,0.669121813,0.298117539 +2019/01/16 10:00,0.4243355,0.810239521,0.997775,0.201666667,0.705382436,0.298760331 +2019/01/16 11:00,0.432224391,0.852877173,0.996135,0.136666667,0.700283286,0.332323232 +2019/01/16 12:00,0.475025484,0.874286218,0.993045,0,0.70878187,0.382231405 +2019/01/16 13:00,0.533635131,0.857478344,0.993385,0,0.707082153,0.32144169 +2019/01/16 14:00,0.577711851,0.813358522,0.9928125,0,0.713314448,0.299816345 +2019/01/16 15:00,0.647115533,0.725768727,0.9881075,0,0.703116147,0.298943985 +2019/01/16 16:00,0.70824951,0.591291489,0.9913,0,0.704249292,0.297979798 +2019/01/16 17:00,0.750478421,0.382148163,0.9689825,0,0.733144476,0.297658402 +2019/01/16 18:00,0.772943994,0.136415252,0.9223525,0.103333333,0.709915014,0.297704316 +2019/01/16 19:00,0.76842328,0.007828706,0.7904325,0.693333333,0.64305949,0.298163453 +2019/01/16 20:00,0.732856676,8.07E-05,0.78912,0.536666667,0.647592068,0.298576676 +2019/01/16 21:00,0.714862773,0,0.7587075,0.211666667,0.696883853,0.299494949 +2019/01/16 22:00,0.722618956,0,0.3709725,0,0.669121813,0.299586777 +2019/01/16 23:00,0.665809997,0,0.2270775,0,0.660056657,0.299816345 +2019/01/17 00:00,0.534517444,0,0.1154325,0,0.669121813,0.299908173 +2019/01/17 01:00,0.474204716,0,0.1101175,0,0.660056657,0.299403122 +2019/01/17 02:00,0.435632958,0,0.1104275,0,0.673654391,0.299449036 +2019/01/17 03:00,0.350304843,0,0.110185,0,0.661756374,0.298576676 +2019/01/17 04:00,0.299996634,0,0.1101575,0,0.654390935,0.298393021 +2019/01/17 05:00,0.277029561,0.000842497,0.10121,0.208333333,0.671954674,0.298071625 +2019/01/17 06:00,0.238225564,0.082456807,0.25061,0.398333333,0.70878187,0.297842057 +2019/01/17 07:00,0.175253395,0.336630285,0.53298,0.4,0.709915014,0.29862259 +2019/01/17 08:00,0.161346021,0.553613849,0.8029325,0.461666667,0.659490085,0.334618916 +2019/01/17 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21:00,0.389825749,0,0.7633775,0.118333333,0.628895184,0.297796143 +2019/01/17 22:00,0.339502154,0,0.311215,0,0.674787535,0.297291093 +2019/01/17 23:00,0.331241586,0,0.2316725,0,0.657223796,0.297796143 +2019/01/18 00:00,0.382937454,0,0.1186725,0,0.664589235,0.297796143 +2019/01/18 01:00,0.378576855,0,0.1090475,0,0.667422096,0.29825528 +2019/01/18 02:00,0.332255164,0,0.1096025,0,0.671388102,0.299724518 +2019/01/18 03:00,0.294936916,0,0.1095375,0,0.700283286,0.300275482 +2019/01/18 04:00,0.325641901,0,0.102295,0,0.680453258,0.300505051 +2019/01/18 05:00,0.3664293,0.000854707,0.1572,0.198333333,0.661189802,0.300091827 +2019/01/18 06:00,0.37182848,0.082668448,0.38124,0.398333333,0.691784703,0.299724518 +2019/01/18 07:00,0.433160557,0.330211167,0.5523225,0.4,0.70368272,0.29862259 +2019/01/18 08:00,0.484330884,0.544374877,0.92034,0.391666667,0.66572238,0.297842057 +2019/01/18 09:00,0.544658518,0.699396957,0.9969,0.001666667,0.640226629,0.297704316 +2019/01/18 10:00,0.622657903,0.806316011,0.99562,0,0.650991501,0.298025712 +2019/01/18 11:00,0.701006847,0.843730455,0.9950825,0,0.641926346,0.298576676 +2019/01/18 12:00,0.773978247,0.862346102,0.994785,0,0.641926346,0.299265381 +2019/01/18 13:00,0.82834077,0.84202579,0.997715,0,0.669688385,0.299954086 +2019/01/18 14:00,0.843906989,0.79720728,0.9933275,0,0.713314448,0.299816345 +2019/01/18 15:00,0.879370216,0.686695066,0.9947175,0,0.66572238,0.299494949 +2019/01/18 16:00,0.887124957,0.574539238,0.997045,0,0.680453258,0.299632691 +2019/01/18 17:00,0.868705524,0.378025221,0.979415,0,0.698016997,0.301423324 +2019/01/18 18:00,0.824310978,0.149745962,0.9237475,0.408333333,0.669121813,0.309090909 +2019/01/18 19:00,0.812302862,0.008384265,0.8091525,0.701666667,0.66572238,0.326170799 +2019/01/18 20:00,0.768793034,0.000103786,0.8000825,0.468333333,0.656090652,0.339348026 +2019/01/18 21:00,0.697013598,0,0.775765,0.068333333,0.721246459,0.34775023 +2019/01/18 22:00,0.670911067,0,0.31639,0,0.660056657,0.347520661 +2019/01/18 23:00,0.635030484,0,0.22564,0,0.652124646,0.346786042 +2019/01/19 00:00,0.593956033,0,0.1124375,0,0.707082153,0.346556474 +2019/01/19 01:00,0.573858522,0,0.11247,0,0.709915014,0.345867769 +2019/01/19 02:00,0.523835923,0,0.112745,0,0.674787535,0.34600551 +2019/01/19 03:00,0.496829442,0,0.1124375,0,0.682719547,0.346051423 +2019/01/19 04:00,0.454114898,0,0.070275,0,0.678753541,0.345775941 +2019/01/19 05:00,0.425548621,0.000813328,0.202135,0,0.679886686,0.346235078 +2019/01/19 06:00,0.35713063,0.088390235,0.2623425,0.385,0.660623229,0.346097337 +2019/01/19 07:00,0.36490797,0.353979473,0.5409775,0.398333333,0.699150142,0.349173554 +2019/01/19 08:00,0.438314036,0.588784349,0.9745575,0.398333333,0.673087819,0.352984389 +2019/01/19 09:00,0.509425126,0.76311059,0.9986025,0.15,0.684419263,0.354453627 +2019/01/19 10:00,0.489130957,0.871294067,0.9986675,0,0.68101983,0.354637282 +2019/01/19 11:00,0.481358907,0.923545133,0.997965,0,0.667422096,0.35399449 +2019/01/19 12:00,0.480541986,0.933143625,0.9962175,0,0.666288952,0.353397612 +2019/01/19 13:00,0.478831692,0.905073973,0.9942725,0,0.690084986,0.351882461 +2019/01/19 14:00,0.517218814,0.85293958,0.9947875,0,0.687818697,0.351285583 +2019/01/19 15:00,0.5336986,0.770001153,0.99696,0,0.667988669,0.350183655 +2019/01/19 16:00,0.591215813,0.629200442,1.0019725,0,0.679320113,0.349954086 +2019/01/19 17:00,0.676511713,0.419388274,0.9925075,0,0.679320113,0.351056015 +2019/01/19 18:00,0.715723449,0.155415516,0.9423475,0.2,0.699716714,0.351561065 +2019/01/19 19:00,0.673700812,0.008948643,0.82092,0.7,0.64305949,0.351469238 +2019/01/19 20:00,0.611883102,8.14E-05,0.7879275,0.525,0.649291785,0.352112029 +2019/01/19 21:00,0.584955476,0,0.78021,0.061666667,0.649291785,0.352387511 +2019/01/19 22:00,0.576521329,0,0.3233775,0,0.687818697,0.35261708 +2019/01/19 23:00,0.515348406,0,0.2426975,0,0.739943343,0.35224977 +2019/01/20 00:00,0.453008039,0,0.1143,0,0.692917847,0.352387511 +2019/01/20 01:00,0.406546909,0,0.1133875,0,0.683852691,0.352571166 +2019/01/20 02:00,0.338457803,0,0.1125175,0,0.694617564,0.35261708 +2019/01/20 03:00,0.330268877,0,0.109215,0,0.673654391,0.352754821 +2019/01/20 04:00,0.309520329,0,0.0839575,0,0.690084986,0.352433425 +2019/01/20 05:00,0.300959245,0.000692584,0.201635,0,0.678753541,0.352800735 +2019/01/20 06:00,0.292504904,0.081057394,0.380925,0.381666667,0.684419263,0.352800735 +2019/01/20 07:00,0.298406547,0.340167143,0.6545975,0.398333333,0.707648725,0.352387511 +2019/01/20 08:00,0.266769723,0.560661787,0.9581475,0.193333333,0.703116147,0.35224977 +2019/01/20 09:00,0.229499558,0.712071714,0.997865,0,0.704815864,0.35224977 +2019/01/20 10:00,0.168963246,0.80467918,0.997895,0,0.706515581,0.427640037 +2019/01/20 11:00,0.197441051,0.837794993,0.9961775,0.153333333,0.717280453,0.41322314 +2019/01/20 12:00,0.241667308,0.831786269,0.98049,0.046666667,0.712181303,0.393663912 +2019/01/20 13:00,0.289107878,0.803036244,0.9798575,0,0.701983003,0.404224059 +2019/01/20 14:00,0.341702408,0.789562404,0.989725,0,0.697450425,0.425849403 +2019/01/20 15:00,0.376625188,0.737015581,0.9915075,0,0.688385269,0.425803489 +2019/01/20 16:00,0.437264877,0.616947612,0.9980125,0,0.694617564,0.42594123 +2019/01/20 17:00,0.48891651,0.402891758,0.9907925,0,0.702549575,0.429247016 +2019/01/20 18:00,0.509481382,0.141424782,0.929935,0.181666667,0.684985836,0.457897153 +2019/01/20 19:00,0.506329096,0.007822601,0.78814,0.7,0.645325779,0.46010101 +2019/01/20 20:00,0.519632073,4.41E-05,0.7581775,0.525,0.673654391,0.460146924 +2019/01/20 21:00,0.527559911,0,0.73442,0.028333333,0.707648725,0.461524334 +2019/01/20 22:00,0.430111167,0,0.277985,0,0.689518414,0.477502296 +2019/01/20 23:00,0.312111494,0,0.1924275,0,0.655524079,0.444857668 +2019/01/21 00:00,0.242010136,0,0.0845575,0,0.640793201,0.419834711 +2019/01/21 01:00,0.207321518,0,0.06052,0,0.663456091,0.444398531 +2019/01/21 02:00,0.167795803,0,0,0,0.638526912,0.44775023 +2019/01/21 03:00,0.200073085,0,0,0,0.626062323,0.452984389 +2019/01/21 04:00,0.220582183,0,0.0093075,0,0.658923513,0.463314968 +2019/01/21 05:00,0.277712332,0.000601686,0.18898,0.015,0.671954674,0.465977961 +2019/01/21 06:00,0.347282379,0.07473053,0.26255,0.386666667,0.686685552,0.466345271 +2019/01/21 07:00,0.358188445,0.326821509,0.519565,0.203333333,0.692351275,0.468549128 +2019/01/21 08:00,0.393579067,0.561728814,0.95627,0.201666667,0.662889518,0.474701561 +2019/01/21 09:00,0.433856791,0.727720986,0.9929525,0.2,0.666855524,0.484389348 +2019/01/21 10:00,0.416288899,0.830002917,0.9557375,0,0.675354108,0.483103765 +2019/01/21 11:00,0.449678328,0.867023247,0.95789,0,0.667422096,0.477456382 +2019/01/21 12:00,0.444033446,0.860357891,0.957845,0,0.678753541,0.473829201 +2019/01/21 13:00,0.496027907,0.809302736,0.9230325,0,0.701416431,0.45224977 +2019/01/21 14:00,0.454344251,0.723597365,0.9222325,0,0.685552408,0.434389348 +2019/01/21 15:00,0.526526138,0.644013323,0.9047775,0,0.683286119,0.468044077 +2019/01/21 16:00,0.584354926,0.507470543,0.9330875,0,0.692917847,0.442240588 +2019/01/21 17:00,0.706927722,0.327056214,0.9363275,0,0.707648725,0.300505051 +2019/01/21 18:00,0.710448802,0.105440276,0.8942525,0.156666667,0.684419263,0.300459137 +2019/01/21 19:00,0.586738374,0.006740651,0.782265,0.75,0.642492918,0.407392103 +2019/01/21 20:00,0.469952783,8.07E-05,0.74972,0.498333333,0.648725212,0.476446281 +2019/01/21 21:00,0.364344444,0,0.68734,0.233333333,0.689518414,0.477548209 +2019/01/21 22:00,0.314880563,0,0.1594725,0,0.720113314,0.437924702 +2019/01/21 23:00,0.297103031,0,0.1047275,0,0.730311615,0.430991736 +2019/01/22 00:00,0.278797073,0,0.1047825,0,0.701983003,0.432277319 +2019/01/22 01:00,0.23863667,0,0.10498,0,0.707082153,0.440312213 +2019/01/22 02:00,0.257123418,0,0.1047475,0,0.715014164,0.437373737 +2019/01/22 03:00,0.199877871,0,0.1046,0,0.700849858,0.424012856 +2019/01/22 04:00,0.17344309,0,0.11095,0,0.695184136,0.423094582 +2019/01/22 05:00,0.180973766,0.001565606,0.1914425,0.086666667,0.667422096,0.426124885 +2019/01/22 06:00,0.159242893,0.082117637,0.26003,0.303333333,0.704249292,0.431359045 +2019/01/22 07:00,0.108833712,0.331934147,0.46113,0.2,0.719546742,0.412029385 +2019/01/22 08:00,0.101203023,0.554842999,0.7700375,0.2,0.67592068,0.416666667 +2019/01/22 09:00,0.130252048,0.715964021,0.7463675,0.196666667,0.677053824,0.416528926 +2019/01/22 10:00,0.157964861,0.820420027,0.916055,0,0.690084986,0.407300275 +2019/01/22 11:00,0.224709101,0.841518393,0.993965,0,0.697450425,0.396786042 +2019/01/22 12:00,0.241945224,0.878719839,0.9970325,0,0.700849858,0.397474747 +2019/01/22 13:00,0.299441763,0.843573759,0.9961825,0,0.692917847,0.397796143 +2019/01/22 14:00,0.352443551,0.753322163,0.986105,0,0.694050992,0.394903581 +2019/01/22 15:00,0.388437127,0.625747699,0.9828325,0,0.688951841,0.377594123 +2019/01/22 16:00,0.44444407,0.486424409,0.98045,0,0.671388102,0.37543618 +2019/01/22 17:00,0.496280821,0.29403062,0.967055,0,0.651558074,0.375482094 +2019/01/22 18:00,0.518153537,0.09147464,0.911735,0.233333333,0.618130312,0.372084481 +2019/01/22 19:00,0.502639728,0.007515992,0.7959575,0.783333333,0.614730878,0.35610652 +2019/01/22 20:00,0.457277763,7.12E-05,0.7800375,0.39,0.634560907,0.355417815 +2019/01/22 21:00,0.431107435,0,0.75823,0.045,0.62776204,0.355922865 +2019/01/22 22:00,0.364000173,0,0.29366,0,0.613597734,0.355555556 +2019/01/22 23:00,0.300830384,0,0.23081,0,0.613597734,0.355555556 +2019/01/23 00:00,0.279125476,0,0.1124325,0,0.68101983,0.354407713 +2019/01/23 01:00,0.242997269,0,0.1105375,0,0.669121813,0.341735537 +2019/01/23 02:00,0.22208476,0,0.1103575,0,0.709915014,0.344306703 +2019/01/23 03:00,0.202835423,0,0.1101075,0,0.673654391,0.345224977 +2019/01/23 04:00,0.223123822,0,0.0894475,0,0.694617564,0.344857668 +2019/01/23 05:00,0.191303804,0.001558144,0.17547,0.186666667,0.637393768,0.343663912 +2019/01/23 06:00,0.184143363,0.07023518,0.3650475,0.398333333,0.63286119,0.343663912 +2019/01/23 07:00,0.203607147,0.297045835,0.5551775,0.201666667,0.674220963,0.344490358 +2019/01/23 08:00,0.225051448,0.524475135,0.88518,0.201666667,0.640793201,0.335812672 +2019/01/23 09:00,0.266335539,0.692363942,0.8680375,0.191666667,0.626062323,0.296235078 +2019/01/23 10:00,0.325538524,0.816028463,0.7528175,0,0.688385269,0.295224977 +2019/01/23 11:00,0.391864446,0.87412613,0.8769025,0,0.688385269,0.297199265 +2019/01/23 12:00,0.460507462,0.880815227,0.9736025,0,0.69121813,0.317768595 +2019/01/23 13:00,0.53849723,0.847711625,0.9788975,0,0.693484419,0.290633609 +2019/01/23 14:00,0.593947859,0.813933753,0.9721425,0,0.693484419,0.312075298 +2019/01/23 15:00,0.701472766,0.73107944,0.97053,0,0.693484419,0.316115702 +2019/01/23 16:00,0.703914875,0.559319355,0.9691275,0,0.674787535,0.315013774 +2019/01/23 17:00,0.735545928,0.369656557,0.96309,0.065,0.657223796,0.313682277 +2019/01/23 18:00,0.718537235,0.136485121,0.91633,0.278333333,0.611331445,0.315426997 +2019/01/23 19:00,0.653565796,0.0070961,0.79563,0.77,0.580736544,0.316620753 +2019/01/23 20:00,0.627202658,7.12E-05,0.7734425,0.33,0.58470255,0.318227732 +2019/01/23 21:00,0.604469266,0,0.7533575,0,0.639660057,0.318640955 +2019/01/23 22:00,0.571576047,0,0.3428,0,0.638526912,0.31758494 +2019/01/23 23:00,0.57039995,0,0.2235375,0,0.649291785,0.317493113 +2019/01/24 00:00,0.581759434,0,0.114025,0,0.70878187,0.316345271 +2019/01/24 01:00,0.561045505,0,0.1109175,0,0.711614731,0.313636364 +2019/01/24 02:00,0.518926703,0,0.10999,0,0.705949008,0.296648301 +2019/01/24 03:00,0.471074066,0,0.109415,0,0.723512748,0.297704316 +2019/01/24 04:00,0.428004193,0,0.094815,0,0.707648725,0.316391185 +2019/01/24 05:00,0.408297592,0.001406196,0.1874425,0.203333333,0.631161473,0.31671258 +2019/01/24 06:00,0.367906393,0.079112597,0.29689,0.395,0.630028329,0.299954086 +2019/01/24 07:00,0.291813959,0.336930789,0.5455725,0.201666667,0.674787535,0.297337006 +2019/01/24 08:00,0.270148479,0.562959998,0.9548025,0.201666667,0.659490085,0.331083563 +2019/01/24 09:00,0.250225026,0.721101079,0.99977,0.2,0.631161473,0.39476584 +2019/01/24 10:00,0.208578874,0.82376288,0.9994125,0,0.629461756,0.336225895 +2019/01/24 11:00,0.184648229,0.873712344,0.994955,0,0.641359773,0.316391185 +2019/01/24 12:00,0.214778628,0.892473833,0.994305,0,0.631728045,0.314508724 +2019/01/24 13:00,0.274522541,0.879900149,0.9967875,0,0.643626062,0.314049587 +2019/01/24 14:00,0.304772666,0.838982763,0.986475,0,0.642492918,0.314049587 +2019/01/24 15:00,0.33896363,0.75797828,0.981615,0,0.647025496,0.315013774 +2019/01/24 16:00,0.418612725,0.614382814,0.984445,0,0.653824363,0.315932048 +2019/01/24 17:00,0.5075326,0.397722139,0.967455,0,0.669121813,0.279201102 +2019/01/24 18:00,0.586002712,0.135451333,0.90959,0.081666667,0.621529745,0.301928375 +2019/01/24 19:00,0.591701927,0.006836975,0.80266,0.7,0.572804533,0.317309458 +2019/01/24 20:00,0.581400258,6.72E-05,0.766705,0.543333333,0.560906516,0.316391185 +2019/01/24 21:00,0.592061103,0,0.75255,0.108333333,0.639093484,0.315702479 +2019/01/24 22:00,0.564169904,0,0.285935,0,0.662322946,0.314187328 +2019/01/24 23:00,0.530524195,0,0.23463,0,0.668555241,0.314738292 +2019/01/25 00:00,0.483094203,0,0.1350225,0,0.696883853,0.314784206 +2019/01/25 01:00,0.459505905,0,0.110165,0,0.707082153,0.315610652 +2019/01/25 02:00,0.417270262,0,0.11069,0,0.725779037,0.316437098 +2019/01/25 03:00,0.375178386,0,0.110955,0,0.695750708,0.317171717 +2019/01/25 04:00,0.307900912,0,0.0924875,0,0.68611898,0.317401286 +2019/01/25 05:00,0.296861176,0.001393308,0.1598075,0.175,0.603399433,0.317355372 +2019/01/25 06:00,0.271994365,0.075332895,0.24924,0.398333333,0.657223796,0.316804408 +2019/01/25 07:00,0.198492134,0.314760648,0.5146375,0.398333333,0.635127479,0.31620753 +2019/01/25 08:00,0.17148421,0.547809305,0.909005,0.4,0.617563739,0.315013774 +2019/01/25 09:00,0.154050948,0.691425122,0.99523,0.281666667,0.603399433,0.315610652 +2019/01/25 10:00,0.142293342,0.788254567,0.9979925,0,0.608498584,0.291368228 +2019/01/25 11:00,0.163849194,0.845998141,0.9948575,0,0.599433428,0.269605142 +2019/01/25 12:00,0.220785091,0.891860615,0.9892275,0,0.607365439,0.279247016 +2019/01/25 13:00,0.27437589,0.877677911,0.9451625,0,0.614164306,0.282828283 +2019/01/25 14:00,0.335930107,0.833766339,0.80995,0,0.628895184,0.308953168 +2019/01/25 15:00,0.458620225,0.740351651,0.90393,0,0.606232295,0.313269054 +2019/01/25 16:00,0.573665711,0.593156242,0.9269325,0,0.626062323,0.312396694 +2019/01/25 17:00,0.665020483,0.38827763,0.9172325,0,0.630028329,0.310927456 +2019/01/25 18:00,0.666070604,0.132180384,0.870685,0.138333333,0.617563739,0.287649219 +2019/01/25 19:00,0.669378678,0.006820695,0.7731675,0.706666667,0.579036827,0.291092746 +2019/01/25 20:00,0.709499654,9.29E-05,0.75204,0.301666667,0.570538244,0.292699725 +2019/01/25 21:00,0.66525176,0,0.7328775,0,0.645892351,0.293755739 +2019/01/25 22:00,0.664060757,0,0.27615,0,0.673087819,0.293572084 +2019/01/25 23:00,0.633925068,0,0.230935,0,0.574504249,0.293067034 +2019/01/26 00:00,0.558665904,0,0.122885,0,0.530878187,0.292883379 +2019/01/26 01:00,0.504234142,0,0.099155,0,0.517280453,0.291919192 +2019/01/26 02:00,0.493258838,0,0.0952925,0,0.491784703,0.291597796 +2019/01/26 03:00,0.500359176,0,0.0019075,0,0.56713881,0.291460055 +2019/01/26 04:00,0.498584933,0,0.0045175,0,0.699150142,0.291322314 +2019/01/26 05:00,0.524980286,0.001079915,0.1739475,0.201666667,0.677053824,0.291965106 +2019/01/26 06:00,0.507291226,0.066064076,0.3457125,0.201666667,0.699716714,0.294352617 +2019/01/26 07:00,0.470762973,0.314982465,0.5084,0.201666667,0.641926346,0.366574839 +2019/01/26 08:00,0.509576586,0.547430793,0.8796375,0.201666667,0.618696884,0.374380165 +2019/01/26 09:00,0.517655883,0.718975166,0.9333025,0.198333333,0.619830028,0.312809917 +2019/01/26 10:00,0.471955418,0.818321248,0.9339,0,0.615864023,0.312442608 +2019/01/26 11:00,0.430705466,0.854431247,0.974895,0,0.614164306,0.31184573 +2019/01/26 12:00,0.445839424,0.880090762,0.9322475,0,0.597167139,0.31271809 +2019/01/26 13:00,0.468045351,0.870897917,0.9365575,0,0.610764873,0.31184573 +2019/01/26 14:00,0.508356733,0.820246373,0.957955,0,0.613031161,0.354178145 +2019/01/26 15:00,0.540835,0.751100604,0.971265,0,0.614730878,0.383149679 +2019/01/26 16:00,0.563715044,0.611740685,0.9647075,0.043333333,0.624929178,0.313039486 +2019/01/26 17:00,0.600161076,0.402602107,0.9508125,0.296666667,0.626062323,0.293204775 +2019/01/26 18:00,0.668521368,0.140083029,0.8995825,0.461666667,0.611898017,0.272681359 +2019/01/26 19:00,0.70674549,0.007315882,0.7708275,0.675,0.579036827,0.28640955 +2019/01/26 20:00,0.771849156,5.90E-05,0.7508475,0.068333333,0.569971671,0.313728191 +2019/01/26 21:00,0.763658307,0,0.7207175,0,0.594334278,0.312947658 +2019/01/26 22:00,0.720151364,0,0.25171,0,0.645325779,0.312672176 +2019/01/26 23:00,0.637257664,0,0.19941,0,0.606232295,0.312901745 +2019/01/27 00:00,0.548808036,0,0.1066325,0,0.508215297,0.325849403 +2019/01/27 01:00,0.472285264,0,0.1024075,0,0.494617564,0.401147842 +2019/01/27 02:00,0.390285418,0,0.1029975,0,0.492917847,0.341597796 +2019/01/27 03:00,0.332393642,0,0.10216,0,0.592067989,0.315197429 +2019/01/27 04:00,0.295734604,0,0.0174975,0,0.682719547,0.31533517 +2019/01/27 05:00,0.270036447,0.000811293,0.02758,0.198333333,0.712181303,0.326629936 +2019/01/27 06:00,0.294935954,0.068158107,0.31573,0.201666667,0.738810198,0.403030303 +2019/01/27 07:00,0.245614398,0.316653891,0.537125,0.39,0.702549575,0.368503214 +2019/01/27 08:00,0.202352675,0.542527083,0.9604075,0.215,0.67082153,0.355004591 +2019/01/27 09:00,0.180500154,0.701980749,1.000755,0,0.669688385,0.354453627 +2019/01/27 10:00,0.148095453,0.78677918,0.998815,0,0.694050992,0.358172635 +2019/01/27 11:00,0.147459803,0.832325548,0.994185,0,0.691784703,0.366391185 +2019/01/27 12:00,0.182288822,0.844894484,0.9903575,0,0.696883853,0.358264463 +2019/01/27 13:00,0.263990557,0.822748085,0.99183,0,0.699716714,0.348347107 +2019/01/27 14:00,0.326843482,0.777279048,0.9855675,0,0.698583569,0.314416896 +2019/01/27 15:00,0.378240759,0.714672464,0.981275,0,0.70368272,0.312304867 +2019/01/27 16:00,0.460999827,0.570150388,0.9801475,0,0.705382436,0.367768595 +2019/01/27 17:00,0.581452187,0.385573094,0.95724,0.095,0.659490085,0.389853076 +2019/01/27 18:00,0.640412355,0.135688751,0.906505,0.381666667,0.634560907,0.402295684 +2019/01/27 19:00,0.684517444,0.006805771,0.776885,0.673333333,0.584135977,0.377226814 +2019/01/27 20:00,0.779433204,5.83E-05,0.785265,0.35,0.601133144,0.37405877 +2019/01/27 21:00,0.79888064,0,0.74025,0,0.682152975,0.403305785 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11:00,0.377476247,0.830738914,0.94341,0,0.650424929,0.369421488 +2019/01/28 12:00,0.355182329,0.825456691,0.962725,0,0.639093484,0.360055096 +2019/01/28 13:00,0.38042226,0.780922405,0.9608525,0,0.647025496,0.365656566 +2019/01/28 14:00,0.405406874,0.759051411,0.934215,0,0.652691218,0.352754821 +2019/01/28 15:00,0.421639997,0.668417911,0.9055925,0,0.637393768,0.361294766 +2019/01/28 16:00,0.47102406,0.524024719,0.8606175,0,0.650424929,0.357346189 +2019/01/28 17:00,0.526712698,0.333090036,0.8530725,0,0.63796034,0.345730028 +2019/01/28 18:00,0.611463823,0.126881203,0.8051275,0.195,0.626628895,0.345821855 +2019/01/28 19:00,0.619529176,0.007519384,0.756065,0.68,0.584135977,0.355371901 +2019/01/28 20:00,0.593480979,0.000427353,0.71473,0.518333333,0.580169972,0.353856749 +2019/01/28 21:00,0.550043274,0,0.639785,0.038333333,0.640226629,0.315748393 +2019/01/28 22:00,0.5508977,0,0.126605,0,0.730311615,0.300413223 +2019/01/28 23:00,0.504018733,0,0.121645,0,0.746175637,0.300596878 +2019/01/29 00:00,0.435298784,0,0.2261675,0,0.755240793,0.345041322 +2019/01/29 01:00,0.415499865,0,0.1371975,0,0.743342776,0.374885216 +2019/01/29 02:00,0.392102454,0,0.102275,0,0.757507082,0.335720845 +2019/01/29 03:00,0.44419308,0.000421927,0.0943325,0,0.714447592,0.303305785 +2019/01/29 04:00,0.512185541,0,0.0382325,0,0.692917847,0.303305785 +2019/01/29 05:00,0.551081856,0.000602365,0.0018525,0.173333333,0.649291785,0.342699725 +2019/01/29 06:00,0.51547919,0.037641688,0.154345,0.398333333,0.656090652,0.389944904 +2019/01/29 07:00,0.439553122,0.143841025,0.2654875,0.258333333,0.696883853,0.311662075 +2019/01/29 08:00,0.498468092,0.26876522,0.34575,0.201666667,0.662322946,0.298760331 +2019/01/29 09:00,0.499937012,0.385408936,0.4594175,0.168333333,0.652124646,0.303259871 +2019/01/29 10:00,0.622998327,0.553307918,0.6658575,0,0.642492918,0.326721763 +2019/01/29 11:00,0.629367812,0.657681846,0.7040925,0,0.650424929,0.389348026 +2019/01/29 12:00,0.642643382,0.725588968,0.7299875,0,0.647592068,0.323875115 +2019/01/29 13:00,0.67884804,0.775598803,0.7546575,0,0.654957507,0.315289256 +2019/01/29 14:00,0.638280379,0.650158392,0.79286,0,0.670254958,0.316023875 +2019/01/29 15:00,0.650690464,0.477756599,0.769765,0,0.650424929,0.317860422 +2019/01/29 16:00,0.658271627,0.398041636,0.7002625,0,0.636260623,0.319605142 +2019/01/29 17:00,0.571475074,0.260555966,0.5985225,0.138333333,0.633427762,0.318365473 +2019/01/29 18:00,0.58363465,0.099077459,0.500555,0.376666667,0.606798867,0.335307622 +2019/01/29 19:00,0.626942051,0.005208284,0.4144125,0.611666667,0.555240793,0.372497704 +2019/01/29 20:00,0.548079105,6.11E-06,0.38966,0.161666667,0.588101983,0.341414141 +2019/01/29 21:00,0.499818248,0,0.37142,0,0.641926346,0.316023875 +2019/01/29 22:00,0.524217698,0,0.157605,0,0.722946176,0.316023875 +2019/01/29 23:00,0.397625688,0,0.075815,0,0.748441926,0.31584022 +2019/01/30 00:00,0.380978094,0,0,0,0.766005666,0.316758494 +2019/01/30 01:00,0.387434608,0,0,0,0.751274788,0.317860422 +2019/01/30 02:00,0.409357811,0,0,0,0.744475921,0.319054178 +2019/01/30 03:00,0.404724103,0,0,0,0.714447592,0.318916437 +2019/01/30 04:00,0.393681482,0,0,0,0.767705382,0.31882461 +2019/01/30 05:00,0.364892103,0.000147878,0.01874,0.19,0.684419263,0.318135904 +2019/01/30 06:00,0.353928338,0.039642787,0.2129375,0.405,0.68101983,0.317171717 +2019/01/30 07:00,0.286356118,0.210963987,0.248505,0.198333333,0.68611898,0.31620753 +2019/01/30 08:00,0.264916625,0.387344236,0.3790375,0.201666667,0.683286119,0.313957759 +2019/01/30 09:00,0.221187541,0.567479769,0.6834925,0.203333333,0.674220963,0.338062443 +2019/01/30 10:00,0.243618494,0.667566596,0.656245,0.196666667,0.661189802,0.390128558 +2019/01/30 11:00,0.297333346,0.734564744,0.60848,0,0.661756374,0.326124885 +2019/01/30 12:00,0.313047179,0.813146881,0.6088575,0,0.648725212,0.312901745 +2019/01/30 13:00,0.318031407,0.800659345,0.611145,0,0.692917847,0.31271809 +2019/01/30 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15:00,0.246819825,0.690736608,0.704606,0,0.630028329,0.367814509 +2019/02/06 16:00,0.280554006,0.54968152,0.729266,0,0.627195467,0.367217631 +2019/02/06 17:00,0.403318652,0.318167265,0.766474,0.041666667,0.621529745,0.367033976 +2019/02/06 18:00,0.509609763,0.105145877,0.714312,0.286666667,0.625495751,0.367263545 +2019/02/06 19:00,0.602404124,0.004223336,0.620224,0.7,0.609631728,0.353856749 +2019/02/06 20:00,0.630297727,0,0.439232,0.235,0.601699717,0.192607897 +2019/02/06 21:00,0.644802766,0,0.39592,0.07,0.646458924,0.367493113 +2019/02/06 22:00,0.571745298,0,0.239856,0,0.716147309,0.367447199 +2019/02/06 23:00,0.484317421,0,0.169958,0,0.729745042,0.367676768 +2019/02/07 00:00,0.487280263,0,0.088658,0,0.743342776,0.367355372 +2019/02/07 01:00,0.477635881,0,0.087644,0,0.704249292,0.367539027 +2019/02/07 02:00,0.50546265,0,0.087912,0,0.671388102,0.356932966 +2019/02/07 03:00,0.479084125,0,0.087616,0,0.647592068,0.328696051 +2019/02/07 04:00,0.40925251,0,0.037638,0.026666667,0.614730878,0.32943067 +2019/02/07 05:00,0.38600752,5.09E-05,0.038316,0.388333333,0.614164306,0.328696051 +2019/02/07 06:00,0.371588068,0.045730198,0.184956,0.401666667,0.618130312,0.34302112 +2019/02/07 07:00,0.342124572,0.277842748,0.247178,0.228333333,0.613031161,0.347337006 +2019/02/07 08:00,0.311989845,0.507570259,0.51672,0.201666667,0.614730878,0.351469238 +2019/02/07 09:00,0.359058257,0.668303272,0.714112,0.176666667,0.620963173,0.406841139 +2019/02/07 10:00,0.393818037,0.764814576,0.786658,0,0.620963173,0.441827365 +2019/02/07 11:00,0.416962534,0.816205509,0.784052,0,0.624929178,0.366988062 +2019/02/07 12:00,0.45397065,0.818585121,0.776968,0,0.628895184,0.367171717 +2019/02/07 13:00,0.476712698,0.810187289,0.724884,0,0.62776204,0.366483012 +2019/02/07 14:00,0.523429626,0.770910127,0.454286,0,0.638526912,0.36671258 +2019/02/07 15:00,0.554767858,0.684836419,0.452676,0,0.633994334,0.367355372 +2019/02/07 16:00,0.560974343,0.522775219,0.444558,0,0.632294618,0.367217631 +2019/02/07 17:00,0.613544351,0.339905982,0.4008,0.058333333,0.639093484,0.36496786 +2019/02/07 18:00,0.576816075,0.103247207,0.382372,0.6,0.638526912,0.366850321 +2019/02/07 19:00,0.527135343,0.003924189,0.384054,0.7,0.635694051,0.36707989 +2019/02/07 20:00,0.454352906,0,0.37471,0.271666667,0.596600567,0.367171717 +2019/02/07 21:00,0.350171174,0,0.329934,0,0.592067989,0.367263545 +2019/02/07 22:00,0.262863503,0,0.11474,0,0.62776204,0.396648301 +2019/02/07 23:00,0.181591145,0,0.076854,0,0.639660057,0.469559229 +2019/02/08 00:00,0.126292457,0,0.07665,0,0.75694051,0.467493113 +2019/02/08 01:00,0.160769031,0,0.07707,0,0.732011331,0.471671258 +2019/02/08 02:00,0.16335106,0,0.07651,0,0.769405099,0.486455464 +2019/02/08 03:00,0.154588991,0,0.0114,0,0.737110482,0.320339761 +2019/02/08 04:00,0.17997894,0,0,0,0.683852691,0.314049587 +2019/02/08 05:00,0.191760588,0.000255734,0,0.291666667,0.619830028,0.508126722 +2019/02/08 06:00,0.226069835,0.027946194,0,0.261666667,0.623229462,0.579660239 +2019/02/08 07:00,0.325228392,0.166686112,0,0.051666667,0.625495751,0.638200184 +2019/02/08 08:00,0.464378101,0.35543044,0,0.201666667,0.630028329,0.644903581 +2019/02/08 09:00,0.478060449,0.523706578,0,0.201666667,0.636827195,0.671395776 +2019/02/08 10:00,0.448154595,0.625916605,0.024632,0.153333333,0.635127479,0.682277319 +2019/02/08 11:00,0.437905335,0.671779757,0.014624,0,0.631728045,0.687603306 +2019/02/08 12:00,0.428709082,0.692719392,0.020162,0,0.636827195,0.687373737 +2019/02/08 13:00,0.412944763,0.560351786,0.067536,0,0.633994334,0.679843893 +2019/02/08 14:00,0.420856253,0.425312884,0.043466,0,0.636260623,0.698714417 +2019/02/08 15:00,0.484666019,0.441320318,0,0,0.636827195,0.713774105 +2019/02/08 16:00,0.541598069,0.304207734,0,0,0.631728045,0.621395776 +2019/02/08 17:00,0.531474305,0.12254594,0.06909,0,0.635127479,0.702571166 +2019/02/08 18:00,0.430597761,0.039705194,0.196394,0.198333333,0.62266289,0.742056933 +2019/02/08 19:00,0.420677386,0.003052524,0.197164,0.743333333,0.618130312,0.739715335 +2019/02/08 20:00,0.503410009,0,0.194558,0.525,0.616997167,0.722222222 +2019/02/08 21:00,0.366290822,0,0.171648,0.12,0.586968839,0.744674013 +2019/02/08 22:00,0.337828884,0,0.005682,0,0.653824363,0.736822773 +2019/02/08 23:00,0.358690426,0,0,0,0.665155807,0.727731864 +2019/02/09 00:00,0.300843847,0,0,0,0.597167139,0.747291093 +2019/02/09 01:00,0.232873024,0,0,0,0.699716714,0.744903581 +2019/02/09 02:00,0.180762203,0,0,0,0.709348442,0.732874197 +2019/02/09 03:00,0.138268358,0,0,0,0.716147309,0.75312213 +2019/02/09 04:00,0.127404604,0,0,0,0.70368272,0.549540863 +2019/02/09 05:00,0.119886429,6.78E-07,0,0.196666667,0.704815864,0.542332415 +2019/02/09 06:00,0.120952898,0.011259743,0,0.4,0.683852691,0.758677686 +2019/02/09 07:00,0.135987806,0.09292425,0,0.205,0.68611898,0.750321396 +2019/02/09 08:00,0.142539524,0.2325494,0,0.201666667,0.678186969,0.758539945 +2019/02/09 09:00,0.161212832,0.346641206,0,0.193333333,0.676487252,0.752066116 +2019/02/09 10:00,0.197354502,0.460279883,0,0,0.673654391,0.763820018 +2019/02/09 11:00,0.228056603,0.589271396,0,0,0.677620397,0.763314968 +2019/02/09 12:00,0.249666308,0.5892619,0,0,0.669688385,0.756749311 +2019/02/09 13:00,0.296763088,0.550741085,0,0,0.670254958,0.762488522 +2019/02/09 14:00,0.296399585,0.423688941,0.001968,0,0.671954674,0.7587236 +2019/02/09 15:00,0.29974372,0.436943678,0.107482,0,0.673087819,0.769742883 +2019/02/09 16:00,0.289273282,0.349534321,0.195578,0,0.677053824,0.765013774 +2019/02/09 17:00,0.362100435,0.204487888,0.262948,0.183333333,0.669688385,0.761386593 +2019/02/09 18:00,0.430650171,0.053643696,0.170392,0.401666667,0.667988669,0.76134068 +2019/02/09 19:00,0.331696927,0.002927709,0.11478,0.851666667,0.638526912,0.775528007 +2019/02/09 20:00,0.275476978,0,0.002784,0.553333333,0.628328612,0.752708907 +2019/02/09 21:00,0.234025561,0,0,0.15,0.616430595,0.775068871 +2019/02/09 22:00,0.20998144,0,0,0.15,0.400566572,0.766896235 +2019/02/09 23:00,0.187160538,0,0,0.095,0.13427762,0.766896235 +2019/02/10 00:00,0.183033138,0,0,0,0.145609065,0.766942149 +2019/02/10 01:00,0.163839578,0,0,0,0.147308782,0.778971534 +2019/02/10 02:00,0.131381025,0,0,0,0.428895184,0.759274564 +2019/02/10 03:00,0.147422299,0,0,0,0.714447592,0.775068871 +2019/02/10 04:00,0.137305266,0,0,0.003333333,0.705382436,0.75087236 +2019/02/10 05:00,0.151821364,2.71E-06,0,0.201666667,0.724645892,0.774931129 +2019/02/10 06:00,0.173463284,0.019672498,0,0.413333333,0.729745042,0.757529844 +2019/02/10 07:00,0.171673655,0.153935381,0.00117,0.26,0.662889518,0.768181818 +2019/02/10 08:00,0.179522156,0.386133402,0.222486,0.203333333,0.648725212,0.763039486 +2019/02/10 09:00,0.198157961,0.513168587,0.448564,0.201666667,0.654957507,0.752112029 +2019/02/10 10:00,0.18492903,0.581878184,0.426382,0.015,0.657790368,0.671992654 +2019/02/10 11:00,0.15398796,0.58462342,0.46192,0,0.662322946,0.67107438 +2019/02/10 12:00,0.160450725,0.623057408,0.378376,0,0.648725212,0.762304867 +2019/02/10 13:00,0.195867792,0.650473141,0.351626,0,0.554674221,0.76134068 +2019/02/10 14:00,0.223633977,0.643306494,0.33104,0,0.067988669,0.752571166 +2019/02/10 15:00,0.268158345,0.537368996,0.41868,0,0.064022663,0.763498623 +2019/02/10 16:00,0.318745913,0.385585304,0.464026,0,0.066288952,0.661616162 +2019/02/10 17:00,0.341642786,0.204959334,0.471288,0,0.23796034,0.644168962 +2019/02/10 18:00,0.342068316,0.066864515,0.466406,0,0.380736544,0.647428834 +2019/02/10 19:00,0.406016079,0.002342303,0.368356,0.568333333,0.375637394,0.630073462 +2019/02/10 20:00,0.444483498,0,0.288672,0.53,0.369405099,0.616620753 +2019/02/10 21:00,0.449274436,0,0.285244,0.148333333,0.365439093,0.684297521 +2019/02/10 22:00,0.459607839,0,0.13636,0,0.377903683,0.710009183 +2019/02/10 23:00,0.35124197,0,0.069812,0,0.388101983,0.700183655 +2019/02/11 00:00,0.271507289,0,0.004484,0,0.447025496,0.701515152 +2019/02/11 01:00,0.209833827,0,0,0,0.44815864,0.687511478 +2019/02/11 02:00,0.220414375,0,0,0,0.417563739,0.706290174 +2019/02/11 03:00,0.221183694,0,0,0,0.43286119,0.69040404 +2019/02/11 04:00,0.242835231,0,0,0,0.406232295,0.685261708 +2019/02/11 05:00,0.238858811,0,0.001546,0.371666667,0.401133144,0.696464646 +2019/02/11 06:00,0.232594145,0.028782586,0.126786,0.55,0.535977337,0.690541781 +2019/02/11 07:00,0.209978555,0.204749727,0.098286,0.201666667,0.63286119,0.675528007 +2019/02/11 08:00,0.15065296,0.435383499,0.159434,0.351666667,0.630594901,0.637695133 +2019/02/11 09:00,0.152169481,0.584156045,0.393324,0.041666667,0.638526912,0.654040404 +2019/02/11 10:00,0.152451244,0.720449196,0.530328,0,0.63286119,0.672910927 +2019/02/11 11:00,0.15825576,0.731440316,0.573148,0,0.641359773,0.674380165 +2019/02/11 12:00,0.244345501,0.572420787,0.553844,0,0.657790368,0.696235078 +2019/02/11 13:00,0.347772339,0.646426173,0.58227,0,0.647592068,0.663544536 +2019/02/11 14:00,0.406893584,0.594488499,0.602934,0,0.659490085,0.558585859 +2019/02/11 15:00,0.472573278,0.447395519,0.657572,0,0.650991501,0.499954086 +2019/02/11 16:00,0.543913721,0.348862087,0.596154,0,0.649858357,0.657346189 +2019/02/11 17:00,0.590211371,0.268940232,0.651524,0.06,0.63286119,0.701423324 +2019/02/11 18:00,0.536081567,0.071471113,0.58868,0.141666667,0.624929178,0.673278237 +2019/02/11 19:00,0.549246548,0.002751341,0.553646,0.548333333,0.5898017,0.672727273 +2019/02/11 20:00,0.49204187,0,0.471514,0.463333333,0.580169972,0.669742883 +2019/02/11 21:00,0.414373774,0,0.3853,0.15,0.601699717,0.677226814 +2019/02/11 22:00,0.389490614,0,0.230868,0.125,0.654390935,0.674931129 +2019/02/11 23:00,0.3472367,0,0.17119,0,0.69631728,0.656198347 +2019/02/12 00:00,0.302829653,0,0.076442,0,0.74674221,0.649081726 +2019/02/12 01:00,0.243965169,0,0.074256,0,0.735410765,0.648393021 +2019/02/12 02:00,0.233818806,0,0.06203,0,0.712181303,0.648806244 +2019/02/12 03:00,0.202374793,0,0,0,0.714447592,0.648668503 +2019/02/12 04:00,0.187082644,0,0,0,0.669121813,0.648117539 +2019/02/12 05:00,0.175877024,6.11E-06,0.03158,0.27,0.652691218,0.625757576 +2019/02/12 06:00,0.203376832,0.030135871,0.182242,0.4,0.657223796,0.619467401 +2019/02/12 07:00,0.189664192,0.22094981,0.251274,0.205,0.692917847,0.625068871 +2019/02/12 08:00,0.160478132,0.410776766,0.65624,0.201666667,0.63796034,0.61707989 +2019/02/12 09:00,0.161572489,0.552938902,0.771508,0.193333333,0.636827195,0.641230487 +2019/02/12 10:00,0.141474497,0.664230527,0.789676,0,0.630594901,0.630716253 +2019/02/12 11:00,0.146464496,0.726321573,0.79463,0,0.625495751,0.619742883 +2019/02/12 12:00,0.157139766,0.800290329,0.794818,0,0.645325779,0.594352617 +2019/02/12 13:00,0.209151537,0.691376281,0.791896,0,0.650991501,0.588475666 +2019/02/12 14:00,0.273078144,0.552557676,0.779178,0,0.671388102,0.589715335 +2019/02/12 15:00,0.359521291,0.527187812,0.72364,0,0.689518414,0.585858586 +2019/02/12 16:00,0.389672847,0.367535392,0.733324,0,0.670254958,0.54476584 +2019/02/12 17:00,0.446817902,0.233969841,0.774046,0.083333333,0.642492918,0.500459137 +2019/02/12 18:00,0.497961784,0.074264511,0.719856,0.331666667,0.633994334,0.517401286 +2019/02/12 19:00,0.500493326,0.002832742,0.614902,0.653333333,0.62776204,0.510422406 +2019/02/12 20:00,0.495235027,0,0.598172,0.5,0.635127479,0.472956841 +2019/02/12 21:00,0.521753472,0,0.443324,0.03,0.669121813,0.517998163 +2019/02/12 22:00,0.466403816,0,0.256302,0,0.711614731,0.500321396 +2019/02/12 23:00,0.441830307,0,0.172464,0,0.766005666,0.481404959 +2019/02/13 00:00,0.352671943,0,0.088194,0,0.806798867,0.499173554 +2019/02/13 01:00,0.347562219,0,0.087834,0,0.801133144,0.458264463 +2019/02/13 02:00,0.330487172,0,0.08753,0,0.803966006,0.455004591 +2019/02/13 03:00,0.325919337,0,0.061914,0,0.780736544,0.463682277 +2019/02/13 04:00,0.309195292,0,0.001056,0.001666667,0.725779037,0.444168962 +2019/02/13 05:00,0.295406201,2.71E-06,0.132952,0.201666667,0.661189802,0.451101928 +2019/02/13 06:00,0.27804939,0.035631771,0.190736,0.36,0.67082153,0.461891644 +2019/02/13 07:00,0.257921106,0.272642604,0.241008,0.208333333,0.716713881,0.501974288 +2019/02/13 08:00,0.212804362,0.515929426,0.50732,0.203333333,0.658923513,0.489210285 +2019/02/13 09:00,0.184683329,0.675211472,0.747146,0.201666667,0.632294618,0.488751148 +2019/02/13 10:00,0.150684694,0.764964489,0.799576,0.201666667,0.637393768,0.495500459 +2019/02/13 11:00,0.147548275,0.804673075,0.778162,0.2,0.647025496,0.474334252 +2019/02/13 12:00,0.19221641,0.766450729,0.783808,0,0.662322946,0.403443526 +2019/02/13 13:00,0.239670443,0.73462783,0.77602,0,0.677053824,0.465794307 +2019/02/13 14:00,0.268529061,0.733182968,0.769538,0,0.684985836,0.46496786 +2019/02/13 15:00,0.267044274,0.654459737,0.760526,0,0.691784703,0.44825528 +2019/02/13 16:00,0.308268262,0.523454236,0.766766,0,0.663456091,0.353581267 +2019/02/13 17:00,0.375547179,0.314824412,0.76278,0.126666667,0.660623229,0.344628099 +2019/02/13 18:00,0.51803862,0.084511494,0.681826,0.263333333,0.641926346,0.525068871 +2019/02/13 19:00,0.558464919,0.002245301,0.616944,0.628333333,0.592067989,0.52892562 +2019/02/13 20:00,0.548326249,0,0.592852,0.313333333,0.597733711,0.512901745 +2019/02/13 21:00,0.530120783,0,0.573068,0.15,0.71388102,0.498898072 +2019/02/13 22:00,0.511279186,0,0.240478,0.01,0.788668555,0.493709826 +2019/02/13 23:00,0.437146113,0,0.145156,0,0.830028329,0.491000918 +2019/02/14 00:00,0.382444128,0,0.079216,0,0.762606232,0.48553719 +2019/02/14 01:00,0.358749086,0,0.078832,0,0.757507082,0.489944904 +2019/02/14 02:00,0.345071066,0,0.079114,0,0.741076487,0.480808081 +2019/02/14 03:00,0.341313421,0,0.079224,0,0.724645892,0.483608815 +2019/02/14 04:00,0.318768993,0,0.04474,0,0.73427762,0.451331497 +2019/02/14 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18:00,0.151891084,0.000515537,0.555628,0.313333333,0.573371105,0.339853076 +2019/04/27 19:00,0.17520964,0,0.579558,0.278333333,0.569971671,0.345087236 +2019/04/27 20:00,0.137396623,0,0.533502,0,0.549575071,0.349816345 +2019/04/27 21:00,0.129458207,0,0.371598,0,0.545609065,0.347337006 +2019/04/27 22:00,0.130604493,0,0.082418,0,0.537110482,0.335583104 +2019/04/27 23:00,0.130525638,0,0.078608,0,0.541076487,0.333425161 +2019/04/28 00:00,0.123059872,0,0.07803,0,0.528611898,0.346418733 +2019/04/28 01:00,0.144192118,0,0.059836,0,0.532577904,0.374104683 +2019/04/28 02:00,0.211839828,0,0,0,0.534844193,0.391414141 +2019/04/28 03:00,0.289201158,0,0,0,0.436260623,0.391184573 +2019/04/28 04:00,0.320268204,0,0,0,0.447025496,0.373507805 +2019/04/28 05:00,0.322567027,0,0,0.051666667,0.518413598,0.363544536 +2019/04/28 06:00,0.330453995,0.001181666,0.001922,0.523333333,0.562606232,0.387465565 +2019/04/28 07:00,0.37119283,0.121794341,0.012648,0.148333333,0.587535411,0.389118457 +2019/04/28 08:00,0.336839347,0.456455409,0.119154,0.316666667,0.590368272,0.386822773 +2019/04/28 09:00,0.282589818,0.650224191,0.621098,0.45,0.592634561,0.391138659 +2019/04/28 10:00,0.314423299,0.757319613,0.705594,0.45,0.5898017,0.388751148 +2019/04/28 11:00,0.328725911,0.80665518,0.696316,0.45,0.583569405,0.415564738 +2019/04/28 12:00,0.305921837,0.80725144,0.692942,0.45,0.582436261,0.452525253 +2019/04/28 13:00,0.266461515,0.79315285,0.706878,0.45,0.583002833,0.444582185 +2019/04/28 14:00,0.198178155,0.733543844,0.706484,0.45,0.574504249,0.440266299 +2019/04/28 15:00,0.151552102,0.619709128,0.717716,0.45,0.568838527,0.447566575 +2019/04/28 16:00,0.108262011,0.401583242,0.767454,0.45,0.56713881,0.452662994 +2019/04/28 17:00,0.095809132,0.090631465,0.67015,0.45,0.563739377,0.448163453 +2019/04/28 18:00,0.11298996,0.000421248,0.56536,0.738333333,0.560906516,0.448943985 +2019/04/28 19:00,0.168676674,0,0.555904,0.281666667,0.551274788,0.431129477 +2019/04/28 20:00,0.222762723,0,0.481682,0,0.540509915,0.424931129 +2019/04/28 21:00,0.240765281,0,0.343832,0,0.530311615,0.448989899 +2019/04/28 22:00,0.291440839,0,0.079412,0,0.536543909,0.441873278 +2019/04/28 23:00,0.364681983,0,0.079736,0,0.540509915,0.437511478 +2019/04/29 00:00,0.292118321,0,0.080118,0,0.383569405,0.43728191 +2019/04/29 01:00,0.229743336,0,0.063226,0,0.379603399,0.44077135 +2019/04/29 02:00,0.241486998,0,0,0,0.380169972,0.441046832 +2019/04/29 03:00,0.271587106,0,0,0,0.382436261,0.44040404 +2019/04/29 04:00,0.524250394,0,0,0,0.490084986,0.445041322 +2019/04/29 05:00,0.508213929,0,0,0.165,0.555807365,0.410192837 +2019/04/29 06:00,0.484215486,0.000819433,0,0.763333333,0.559773371,0.399816345 +2019/04/29 07:00,0.444017579,0.10819026,0.024538,0.601666667,0.56203966,0.452157943 +2019/04/29 08:00,0.407446532,0.442206907,0.092476,0.6,0.56203966,0.451331497 +2019/04/29 09:00,0.36550275,0.642769928,0.529388,0.6,0.568838527,0.465564738 +2019/04/29 10:00,0.388401066,0.726080085,0.642182,0.6,0.572804533,0.461983471 +2019/04/29 11:00,0.373611378,0.764025668,0.617896,0.6,0.570538244,0.462764004 +2019/04/29 12:00,0.340433031,0.773839193,0.598972,0.6,0.575070822,0.456657484 +2019/04/29 13:00,0.295377832,0.752030607,0.56269,0.6,0.576770538,0.468549128 +2019/04/29 14:00,0.265348406,0.707598071,0.47384,0.6,0.573371105,0.466437098 +2019/04/29 15:00,0.246929934,0.582090504,0.567984,0.6,0.568271955,0.464416896 +2019/04/29 16:00,0.239680059,0.360024149,0.719454,0.6,0.566572238,0.460146924 +2019/04/29 17:00,0.215891257,0.07319138,0.643882,0.6,0.569405099,0.46271809 +2019/04/29 18:00,0.21202783,0.000294399,0.51787,0.925,0.566005666,0.472038567 +2019/04/29 19:00,0.249566296,0,0.450942,0.848333333,0.554674221,0.474931129 +2019/04/29 20:00,0.310256953,0,0.442184,0,0.549008499,0.472130395 +2019/04/29 21:00,0.380673251,0,0.351398,0,0.541076487,0.465518825 +2019/04/29 22:00,0.403514348,0,0.078832,0,0.53427762,0.429935721 +2019/04/29 23:00,0.411149844,0,0.040838,0,0.534844193,0.424655647 +2019/04/30 00:00,0.41881996,0,0,0,0.413031161,0.425344353 +2019/04/30 01:00,0.434162115,0,0,0,0.058356941,0.408631772 +2019/04/30 02:00,0.458154787,0,0,0,0.057223796,0.39600551 +2019/04/30 03:00,0.425403412,0,0,0,0.062322946,0.394903581 +2019/04/30 04:00,0.444695542,0,0,0,0.177903683,0.405601469 +2019/04/30 05:00,0.504501,0,0,0.233333333,0.532011331,0.401147842 +2019/04/30 06:00,0.549698523,0.001170134,0,0.801666667,0.655524079,0.410422406 +2019/04/30 07:00,0.545402354,0.103571453,0,0.6,0.655524079,0.46271809 +2019/04/30 08:00,0.543334808,0.41197946,0.045784,0.6,0.654390935,0.451423324 +2019/04/30 09:00,0.476592972,0.595206859,0.328518,0.6,0.657790368,0.452662994 +2019/04/30 10:00,0.481410836,0.706718944,0.38472,0.6,0.656090652,0.476216713 +2019/04/30 11:00,0.509356849,0.759126707,0.40362,0.6,0.657223796,0.490587695 +2019/04/30 12:00,0.601214563,0.760423012,0.393292,0.6,0.646458924,0.478236915 +2019/04/30 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08:00,0.195904816,0.41819372,0.133544,0.613333333,0.661189802,0.81707989 +2019/05/03 09:00,0.220324941,0.613912725,0.60925,0.6,0.645892351,0.816483012 +2019/05/03 10:00,0.261393622,0.714248503,0.67576,0.6,0.602832861,0.81584022 +2019/05/03 11:00,0.318223257,0.769035877,0.643328,0.6,0.595467422,0.814003673 +2019/05/03 12:00,0.351320345,0.764111139,0.639218,0.6,0.598866856,0.818595041 +2019/05/03 13:00,0.398737835,0.757397622,0.643306,0.6,0.623229462,0.818595041 +2019/05/03 14:00,0.460071835,0.70238436,0.653688,0.6,0.647025496,0.789807163 +2019/05/03 15:00,0.501060699,0.597798113,0.666398,0.6,0.650424929,0.792929293 +2019/05/03 16:00,0.511798477,0.370674065,0.72128,0.6,0.658356941,0.814600551 +2019/05/03 17:00,0.459053929,0.070340322,0.642226,0.615,0.646458924,0.8184573 +2019/05/03 18:00,0.467129861,0.00023674,0.546744,0.91,0.62266289,0.821120294 +2019/05/03 19:00,0.481717121,0,0.549488,0.656666667,0.623796034,0.81010101 +2019/05/03 20:00,0.455605935,0,0.485394,0.6,0.607365439,0.670339761 +2019/05/03 21:00,0.414693522,0,0.379688,0.465,0.588101983,0.667676768 +2019/05/03 22:00,0.419940282,0,0.078516,0.45,0.596033994,0.667998163 +2019/05/03 23:00,0.380667962,0,0.030054,0.45,0.6101983,0.662442608 +2019/05/04 00:00,0.327168519,0,0,0.45,0.622096317,0.661753903 +2019/05/04 01:00,0.310046832,0,0,0.423333333,0.564305949,0.662213039 +2019/05/04 02:00,0.315208486,0,0,0.255,0.39490085,0.662075298 +2019/05/04 03:00,0.295185502,0,0,0.15,0.391501416,0.662626263 +2019/05/04 04:00,0.31907624,0,0,0.15,0.416430595,0.663957759 +2019/05/04 05:00,0.316789437,0,0,0.158333333,0.618130312,0.663774105 +2019/05/04 06:00,0.325725084,0.000956457,0,0.611666667,0.655524079,0.662534435 +2019/05/04 07:00,0.299749971,0.103498871,0.017042,0.781666667,0.681586402,0.661432507 +2019/05/04 08:00,0.268076124,0.431293117,0.125922,0.6,0.688385269,0.657988981 +2019/05/04 09:00,0.255575163,0.626316825,0.55784,0.6,0.68611898,0.654407713 +2019/05/04 10:00,0.24435656,0.734599339,0.662262,0.6,0.687252125,0.671900826 +2019/05/04 11:00,0.210705562,0.782795976,0.643642,0.6,0.658356941,0.669880624 +2019/05/04 12:00,0.187911586,0.777725395,0.625566,0.6,0.657223796,0.674196511 +2019/05/04 13:00,0.174157595,0.760399948,0.621562,0.6,0.673087819,0.688246097 +2019/05/04 14:00,0.187638958,0.704674431,0.63266,0.6,0.678186969,0.688475666 +2019/05/04 15:00,0.213930454,0.586957583,0.688292,0.6,0.673654391,0.689439853 +2019/05/04 16:00,0.24643757,0.353493105,0.651734,0.6,0.672521246,0.694582185 +2019/05/04 17:00,0.29119658,0.059921041,0.635,0.6,0.652691218,0.699724518 +2019/05/04 18:00,0.325447648,0.000164158,0.573562,0.781666667,0.630594901,0.694444444 +2019/05/04 19:00,0.305327538,0,0.528238,0.801666667,0.628895184,0.700918274 +2019/05/04 20:00,0.29927684,0,0.461782,0.078333333,0.624929178,0.700964187 +2019/05/04 21:00,0.276682886,0,0.381062,0,0.626062323,0.700596878 +2019/05/04 22:00,0.243154018,0,0.077318,0,0.630028329,0.700964187 +2019/05/04 23:00,0.252906585,0,0.009416,0,0.635694051,0.694628099 +2019/05/05 00:00,0.261916279,0,0,0,0.623796034,0.638016529 +2019/05/05 01:00,0.279328865,0,0,0,0.62776204,0.620018365 +2019/05/05 02:00,0.2759328,0,0,0,0.63286119,0.669559229 +2019/05/05 03:00,0.267034658,0,0,0,0.63796034,0.687649219 +2019/05/05 04:00,0.290341674,0,0,0,0.647592068,0.687878788 +2019/05/05 05:00,0.297413644,0,0,0,0.554107649,0.683746556 +2019/05/05 06:00,0.287271127,0.000794335,0,0.41,0.51898017,0.680716253 +2019/05/05 07:00,0.288204889,0.084212347,0,0.803333333,0.696883853,0.680486685 +2019/05/05 08:00,0.275681329,0.377794586,0.0604,0.6,0.720113314,0.680762167 +2019/05/05 09:00,0.276625668,0.591756151,0.431236,0.6,0.720113314,0.701239669 +2019/05/05 10:00,0.257761472,0.687061369,0.481686,0.6,0.699716714,0.699816345 +2019/05/05 11:00,0.273512809,0.744273126,0.42498,0.6,0.678753541,0.699678604 +2019/05/05 12:00,0.318546852,0.763415164,0.354344,0.6,0.680453258,0.698025712 +2019/05/05 13:00,0.35797015,0.733537061,0.313426,0.6,0.687252125,0.694582185 +2019/05/05 14:00,0.354772666,0.661171219,0.320014,0.6,0.683286119,0.69338843 +2019/05/05 15:00,0.356880121,0.541887409,0.510124,0.6,0.678186969,0.693572084 +2019/05/05 16:00,0.358985171,0.322912922,0.63348,0.6,0.67592068,0.697015611 +2019/05/05 17:00,0.343798804,0.054988163,0.595472,0.636666667,0.660623229,0.696602388 +2019/05/05 18:00,0.310012694,0.000153305,0.504132,0.801666667,0.630028329,0.702295684 +2019/05/05 19:00,0.286836943,0,0.428988,0.756666667,0.63796034,0.703076217 +2019/05/05 20:00,0.300049044,0,0.407992,0.585,0.644759207,0.70261708 +2019/05/05 21:00,0.300247144,0,0.367442,0.078333333,0.637393768,0.702571166 +2019/05/05 22:00,0.27898796,0,0.085476,0,0.640793201,0.701652893 +2019/05/05 23:00,0.297427588,0,0.082378,0,0.639660057,0.700826446 +2019/05/06 00:00,0.28259078,0,0.081828,0,0.419263456,0.686363636 +2019/05/06 01:00,0.263978536,0,0.080168,0,0.423796034,0.681221304 +2019/05/06 02:00,0.322166981,0,0.013468,0,0.444192635,0.681864096 +2019/05/06 03:00,0.342142843,0,0,0,0.641926346,0.682552801 +2019/05/06 04:00,0.33406595,0,0,0,0.654390935,0.68241506 +2019/05/06 05:00,0.384302516,0,0,0,0.669688385,0.683149679 +2019/05/06 06:00,0.386128688,0.000810615,0,0.731666667,0.679886686,0.700550964 +2019/05/06 07:00,0.343465592,0.080701266,0,0.8,0.691784703,0.70224977 +2019/05/06 08:00,0.326170808,0.373645188,0.026954,0.546666667,0.688385269,0.701239669 +2019/05/06 09:00,0.340304651,0.602678081,0.314578,0.003333333,0.68611898,0.700367309 +2019/05/06 10:00,0.343432415,0.697941921,0.4312,0,0.687252125,0.697796143 +2019/05/06 11:00,0.375260607,0.754292188,0.43418,0,0.680453258,0.69775023 +2019/05/06 12:00,0.401695388,0.750067495,0.40939,0,0.680453258,0.692929293 +2019/05/06 13:00,0.447850714,0.728956919,0.359814,0,0.674787535,0.691689624 +2019/05/06 14:00,0.460621899,0.63791031,0.339434,0,0.752407932,0.68989899 +2019/05/06 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05:00,0.514221833,0,0,0.001666667,0.619830028,0.702020202 +2019/05/07 06:00,0.499386948,0.00057998,0,0.201666667,0.811331445,0.701974288 +2019/05/07 07:00,0.510318498,0.083057136,0,0.336666667,0.807932011,0.702020202 +2019/05/07 08:00,0.4698696,0.376166573,0.004622,0.15,0.802832861,0.700734619 +2019/05/07 09:00,0.405440532,0.579301854,0.139116,0.015,0.80509915,0.699540863 +2019/05/07 10:00,0.454711601,0.680360062,0.362682,0,0.807365439,0.697061524 +2019/05/07 11:00,0.539827192,0.735613456,0.345658,0,0.795467422,0.697474747 +2019/05/07 12:00,0.523681098,0.733060867,0.293402,0,0.790368272,0.699678604 +2019/05/07 13:00,0.500594299,0.727341794,0.270904,0,0.793201133,0.696280992 +2019/05/07 14:00,0.528285475,0.649634036,0.23595,0,0.795467422,0.696602388 +2019/05/07 15:00,0.474437916,0.513005108,0.25795,0,0.800566572,0.696694215 +2019/05/07 16:00,0.408189887,0.285402153,0.249546,0,0.8,0.697933884 +2019/05/07 17:00,0.391172058,0.041449881,0.387262,0.185,0.790934844,0.700550964 +2019/05/07 18:00,0.350190887,9.77E-05,0.417196,0.578333333,0.773937677,0.700918274 +2019/05/07 19:00,0.399485037,0,0.417802,0.495,0.768271955,0.700505051 +2019/05/07 20:00,0.425877986,0,0.310908,0,0.773371105,0.700413223 +2019/05/07 21:00,0.452825326,0,0.208096,0,0.775070822,0.700505051 +2019/05/07 22:00,0.405086645,0,0.00005,0,0.783569405,0.700826446 +2019/05/07 23:00,0.4637011,0,0,0,0.788668555,0.697842057 +2019/05/08 00:00,0.483533677,0,0,0,0.774504249,0.67543618 +2019/05/08 01:00,0.47608426,0,0,0,0.776770538,0.694719927 +2019/05/08 02:00,0.408185079,0,0,0,0.775637394,0.688567493 +2019/05/08 03:00,0.355193869,0,0,0,0.776203966,0.678236915 +2019/05/08 04:00,0.468514636,0,0,0,0.786402266,0.679706152 +2019/05/08 05:00,0.586249375,0,0,0,0.790368272,0.694903581 +2019/05/08 06:00,0.620975978,0.000777376,0,0.335,0.788101983,0.676951331 +2019/05/08 07:00,0.625929434,0.018334136,0,0.348333333,0.798866856,0.671120294 +2019/05/08 08:00,0.673195946,0.077088435,0.010442,0.148333333,0.802266289,0.693617998 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22:00,0.307489326,0,0,0,0.780169972,0.652571166 +2019/05/08 23:00,0.282152268,0,0,0,0.712747875,0.667906336 +2019/05/09 00:00,0.273783994,0,0,0,0.683286119,0.661524334 +2019/05/09 01:00,0.269527253,0,0,0,0.699150142,0.625344353 +2019/05/09 02:00,0.295264357,0,0,0,0.769971671,0.649816345 +2019/05/09 03:00,0.295567758,0,0,0,0.771104816,0.651652893 +2019/05/09 04:00,0.253506174,0,0,0,0.784135977,0.630440771 +2019/05/09 05:00,0.243360292,0,0,0.01,0.799433428,0.665289256 +2019/05/09 06:00,0.24024599,0.000694619,0,0.463333333,0.824929178,0.673094582 +2019/05/09 07:00,0.217948706,0.087945923,0,0.348333333,0.839093484,0.636455464 +2019/05/09 08:00,0.196523637,0.419590419,0.014,0.15,0.835694051,0.658861341 +2019/05/09 09:00,0.198049775,0.647295125,0.406208,0.023333333,0.828895184,0.649724518 +2019/05/09 10:00,0.204126438,0.758783468,0.663848,0,0.809065156,0.63466483 +2019/05/09 11:00,0.205226565,0.809163676,0.613786,0,0.798866856,0.648989899 +2019/05/09 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22:00,0.429163942,0,0.003212,0,0.772804533,0.79476584 +2019/05/13 23:00,0.4269709,0,0,0,0.671388102,0.79476584 +2019/05/14 00:00,0.381797419,0,0,0,0.652124646,0.790266299 +2019/05/14 01:00,0.355849233,0,0,0,0.651558074,0.796923783 +2019/05/14 02:00,0.346917914,0,0,0,0.698583569,0.796602388 +2019/05/14 03:00,0.347556449,0,0,0,0.787535411,0.797015611 +2019/05/14 04:00,0.364731507,0,0,0.026666667,0.799433428,0.794628099 +2019/05/14 05:00,0.35639593,0,0,0.308333333,0.807932011,0.793847567 +2019/05/14 06:00,0.349998077,0.000532496,0,0.691666667,0.820396601,0.792791552 +2019/05/14 07:00,0.334925184,0.071275073,0,0.348333333,0.819263456,0.794995409 +2019/05/14 08:00,0.322567027,0.33536654,0.022758,0.145,0.812464589,0.778512397 +2019/05/14 09:00,0.314309824,0.509733481,0.189554,0.201666667,0.781869688,0.771625344 +2019/05/14 10:00,0.317402489,0.591647617,0.388342,0.3,0.773937677,0.786914601 +2019/05/14 11:00,0.387536543,0.623115745,0.449504,0.3,0.766572238,0.79476584 +2019/05/14 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21:00,0.332396046,0,0.161026,0,0.618130312,0.768135904 +2019/05/17 22:00,0.304345694,0,0.00166,0,0.607932011,0.793067034 +2019/05/17 23:00,0.316422568,0,0,0,0.604532578,0.791919192 +2019/05/18 00:00,0.323498384,0,0,0,0.610764873,0.772038567 +2019/05/18 01:00,0.347237181,0,0,0,0.616997167,0.754545455 +2019/05/18 02:00,0.366264377,0,0,0,0.619830028,0.753535354 +2019/05/18 03:00,0.420316767,0,0,0,0.628328612,0.754729109 +2019/05/18 04:00,0.432123418,0,0,0,0.642492918,0.754729109 +2019/05/18 05:00,0.488401546,0,0,0,0.647592068,0.736179982 +2019/05/18 06:00,0.537060526,0.000351379,0,0.478333333,0.654390935,0.735996327 +2019/05/18 07:00,0.538454437,0.059266445,0,0.345,0.681586402,0.788705234 +2019/05/18 08:00,0.509341943,0.335253258,0.00918,0.15,0.686685552,0.763452709 +2019/05/18 09:00,0.464230007,0.569464587,0.198758,0,0.67592068,0.778466483 +2019/05/18 10:00,0.472479036,0.685324144,0.459754,0,0.66572238,0.79251607 +2019/05/18 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00:00,0.178937474,0,0,0,0.609631728,0.758034894 +2019/05/19 01:00,0.285175213,0,0,0,0.538243626,0.747796143 +2019/05/19 02:00,0.334359734,0,0,0,0.498583569,0.749954086 +2019/05/19 03:00,0.383672635,0,0,0,0.461756374,0.759641873 +2019/05/19 04:00,0.423755626,0,0,0,0.42266289,0.801928375 +2019/05/19 05:00,0.439328576,0,0,0,0.619263456,0.815472911 +2019/05/19 06:00,0.428670616,0.000295756,0,0.478333333,0.735410765,0.815151515 +2019/05/19 07:00,0.471307266,0.058163466,0,0.35,0.754674221,0.812488522 +2019/05/19 08:00,0.506533446,0.342618658,0.008556,0.15,0.75184136,0.810651974 +2019/05/19 09:00,0.498826307,0.564681622,0.161674,0,0.754674221,0.809504132 +2019/05/19 10:00,0.459782379,0.67276267,0.288734,0,0.752407932,0.795959596 +2019/05/19 11:00,0.524974516,0.74160522,0.3351,0,0.749008499,0.726584022 +2019/05/19 12:00,0.671818383,0.750424301,0.373308,0,0.74674221,0.71584022 +2019/05/19 13:00,0.729409643,0.706262422,0.372054,0,0.753541076,0.783562902 +2019/05/19 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15:00,0.114634862,0.480478771,0.468082,0,0.641926346,0.744444444 +2019/05/23 16:00,0.128933627,0.242476207,0.450934,0,0.666855524,0.684022039 +2019/05/23 17:00,0.131058391,0.020029983,0.427436,0.513333333,0.650991501,0.749357208 +2019/05/23 18:00,0.16368379,8.82E-06,0.389164,0.681666667,0.636260623,0.727594123 +2019/05/23 19:00,0.19774926,0,0.329952,0,0.629461756,0.725665748 +2019/05/23 20:00,0.196473151,0,0.267686,0,0.632294618,0.738429752 +2019/05/23 21:00,0.176548736,0,0.007358,0,0.620963173,0.710055096 +2019/05/23 22:00,0.16682021,0,0,0,0.617563739,0.725206612 +2019/05/23 23:00,0.162145632,0,0,0,0.602832861,0.730532599 +2019/05/24 00:00,0.149411951,0,0,0,0.587535411,0.714416896 +2019/05/24 01:00,0.143886795,0,0,0,0.586968839,0.717722681 +2019/05/24 02:00,0.13073095,0,0,0,0.589235127,0.715381084 +2019/05/24 03:00,0.132160922,0,0,0,0.591501416,0.729568411 +2019/05/24 04:00,0.126728084,0,0,0,0.619830028,0.712258953 +2019/05/24 05:00,0.142568854,0,0,0,0.633427762,0.711478421 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23:00,0.19978411,0,0,0,0.645325779,0.639715335 +2019/05/26 00:00,0.254665923,0,0,0,0.628328612,0.562213039 +2019/05/26 01:00,0.381999846,0,0,0,0.534844193,0.56359045 +2019/05/26 02:00,0.421559218,0,0,0,0.467422096,0.577915519 +2019/05/26 03:00,0.430681425,0,0,0,0.613597734,0.568916437 +2019/05/26 04:00,0.442978998,0,0,0,0.623796034,0.607529844 +2019/05/26 05:00,0.455710755,0,0,0.01,0.636827195,0.621212121 +2019/05/26 06:00,0.43697542,0.000217068,0,0.488333333,0.658923513,0.62768595 +2019/05/26 07:00,0.428578297,0.039522721,0,0.351666667,0.68101983,0.620936639 +2019/05/26 08:00,0.414600242,0.243970587,0.00033,0.148333333,0.699716714,0.620385675 +2019/05/26 09:00,0.37256895,0.440220053,0.106314,0,0.702549575,0.61359045 +2019/05/26 10:00,0.350370716,0.566147512,0.379852,0,0.688951841,0.609044995 +2019/05/26 11:00,0.366911567,0.617595425,0.472626,0,0.681586402,0.60610652 +2019/05/26 12:00,0.394820556,0.625267435,0.447276,0,0.682719547,0.601974288 +2019/05/26 13:00,0.419300304,0.611520225,0.437878,0,0.682152975,0.605968779 +2019/05/26 14:00,0.422798304,0.53620768,0.39743,0,0.689518414,0.603856749 +2019/05/26 15:00,0.401431896,0.418112998,0.359862,0,0.682152975,0.603443526 +2019/05/26 16:00,0.320361484,0.211694558,0.36318,0,0.678186969,0.600688705 +2019/05/26 17:00,0.273267108,0.018334814,0.495984,0.055,0.648725212,0.601285583 +2019/05/26 18:00,0.202003597,0,0.508048,0.7,0.631161473,0.606749311 +2019/05/26 19:00,0.171805401,0,0.370506,0.535,0.620963173,0.605188246 +2019/05/26 20:00,0.191896661,0,0.336924,0,0.623796034,0.600459137 +2019/05/26 21:00,0.25542803,0,0.151786,0,0.627195467,0.598484848 +2019/05/26 22:00,0.3657648,0,0,0,0.637393768,0.602984389 +2019/05/26 23:00,0.434018348,0,0,0,0.647592068,0.600367309 +2019/05/27 00:00,0.489112686,0,0,0,0.621529745,0.599816345 +2019/05/27 01:00,0.427607512,0,0,0,0.612464589,0.600826446 +2019/05/27 02:00,0.415017598,0,0,0,0.616430595,0.601147842 +2019/05/27 03:00,0.431897911,0,0,0,0.622096317,0.600413223 +2019/05/27 04:00,0.413190464,0,0,0,0.633994334,0.603673095 +2019/05/27 05:00,0.416799535,0,0,0,0.646458924,0.594490358 +2019/05/27 06:00,0.444325788,0.000202823,0,0.478333333,0.67082153,0.590449954 +2019/05/27 07:00,0.431283417,0.029842829,0,0.496666667,0.67082153,0.607713499 +2019/05/27 08:00,0.379840943,0.147647183,0,0.141666667,0.683286119,0.601606979 +2019/05/27 09:00,0.360428126,0.267449243,0,0,0.679320113,0.607208448 +2019/05/27 10:00,0.353430203,0.36401278,0,0,0.664589235,0.579843893 +2019/05/27 11:00,0.373941705,0.43614256,0,0,0.664589235,0.585720845 +2019/05/27 12:00,0.387200927,0.435889539,0,0,0.67082153,0.576354454 +2019/05/27 13:00,0.37958851,0.381270393,0,0,0.669121813,0.574196511 +2019/05/27 14:00,0.340788841,0.313384978,0,0,0.669121813,0.567860422 +2019/05/27 15:00,0.270297054,0.186237188,0.0092,0,0.665155807,0.579660239 +2019/05/27 16:00,0.280463611,0.081633982,0.093872,0,0.665155807,0.582874197 +2019/05/27 17:00,0.309693426,0.010761842,0.093952,0.333333333,0.648725212,0.582369146 +2019/05/27 18:00,0.338808805,0,0.014566,0.82,0.661189802,0.594903581 +2019/05/27 19:00,0.344151729,0,0,0,0.633427762,0.576400367 +2019/05/27 20:00,0.294652748,0,0,0,0.630594901,0.576538108 +2019/05/27 21:00,0.23650325,0,0,0,0.628328612,0.578420569 +2019/05/27 22:00,0.226178501,0,0,0,0.627195467,0.573232323 +2019/05/27 23:00,0.217855426,0,0,0,0.625495751,0.572681359 +2019/05/28 00:00,0.190419568,0,0,0,0.612464589,0.559320478 +2019/05/28 01:00,0.184611205,0,0,0,0.555240793,0.558126722 +2019/05/28 02:00,0.217861196,0,0,0,0.55184136,0.549357208 +2019/05/28 03:00,0.236451802,0,0,0,0.558073654,0.513682277 +2019/05/28 04:00,0.255012117,0,0,0,0.56713881,0.503076217 +2019/05/28 05:00,0.262566354,0,0,0,0.626062323,0.498806244 +2019/05/28 06:00,0.228426357,0.000194005,0,0.478333333,0.672521246,0.490909091 +2019/05/28 07:00,0.257852829,0.031292439,0,0.5,0.667988669,0.472268136 +2019/05/28 08:00,0.295341289,0.227452364,0,0.15,0.669121813,0.522910927 +2019/05/28 09:00,0.248876793,0.418486084,0.022828,0.003333333,0.668555241,0.556244261 +2019/05/28 10:00,0.212678386,0.438890509,0.178266,0,0.662889518,0.557024793 +2019/05/28 11:00,0.205381871,0.538689043,0.261128,0,0.662322946,0.544628099 +2019/05/28 12:00,0.186490749,0.594786289,0.29324,0,0.657223796,0.539164371 +2019/05/28 13:00,0.165790764,0.478447826,0.31029,0,0.65325779,0.550550964 +2019/05/28 14:00,0.154245682,0.514704346,0.333054,0,0.658356941,0.532690542 +2019/05/28 15:00,0.149888929,0.373360286,0.464112,0,0.664022663,0.525252525 +2019/05/28 16:00,0.158165846,0.194061824,0.61762,0,0.666288952,0.521854913 +2019/05/28 17:00,0.19611686,0.020128342,0.561514,0.435,0.654390935,0.528696051 +2019/05/28 18:00,0.219383967,6.78E-06,0.453986,0.818333333,0.640793201,0.507805326 +2019/05/28 19:00,0.217972747,0,0.391554,0.006666667,0.630028329,0.503535354 +2019/05/28 20:00,0.223042563,0,0.38259,0,0.631161473,0.529247016 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11:00,0.365212332,0.708542996,0.372414,0,0.671388102,0.527869605 +2019/05/29 12:00,0.338368369,0.725780937,0.344746,0,0.672521246,0.491597796 +2019/05/29 13:00,0.334566488,0.699701531,0.339708,0,0.677620397,0.457897153 +2019/05/29 14:00,0.354000942,0.607874155,0.294756,0,0.676487252,0.515243343 +2019/05/29 15:00,0.364349252,0.475464492,0.260864,0,0.675354108,0.506565657 +2019/05/29 16:00,0.390819133,0.200433458,0.385286,0,0.679320113,0.506382002 +2019/05/29 17:00,0.44334202,0.020724601,0.562666,0.275,0.674220963,0.497979798 +2019/05/29 18:00,0.438371735,6.78E-06,0.575826,0.821666667,0.640226629,0.502800735 +2019/05/29 19:00,0.414567065,0,0.517302,0.031666667,0.625495751,0.482736455 +2019/05/29 20:00,0.366929838,0,0.262526,0,0.631728045,0.462993572 +2019/05/29 21:00,0.320402354,0,0.062152,0,0.620963173,0.472589532 +2019/05/29 22:00,0.309513117,0,0,0,0.613031161,0.466850321 +2019/05/29 23:00,0.352706081,0,0,0,0.586968839,0.463774105 +2019/05/30 00:00,0.355007309,0,0,0,0.563739377,0.445867769 +2019/05/30 01:00,0.392267858,0,0,0,0.576770538,0.450642792 +2019/05/30 02:00,0.408401931,0,0,0,0.581869688,0.462947658 +2019/05/30 03:00,0.407247952,0,0,0,0.581869688,0.461616162 +2019/05/30 04:00,0.394183463,0,0,0,0.593201133,0.445867769 +2019/05/30 05:00,0.414556487,0,0,0.02,0.633994334,0.451331497 +2019/05/30 06:00,0.416684137,0.000119388,0,0.456666667,0.677053824,0.484710744 +2019/05/30 07:00,0.419071431,0.037944227,0,0.488333333,0.688951841,0.48466483 +2019/05/30 08:00,0.380140978,0.284674974,0.000024,0.15,0.695750708,0.500229568 +2019/05/30 09:00,0.324504751,0.530536769,0.100042,0.003333333,0.692917847,0.508953168 +2019/05/30 10:00,0.281602685,0.649886378,0.241662,0,0.689518414,0.494857668 +2019/05/30 11:00,0.287897161,0.705006139,0.251258,0,0.686685552,0.429063361 +2019/05/30 12:00,0.373043524,0.716408333,0.251206,0,0.69121813,0.462672176 +2019/05/30 13:00,0.404438974,0.687696973,0.315494,0,0.691784703,0.459779614 +2019/05/30 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20:00,0.774765358,0,0.51441,0.281666667,0.657223796,0.316023875 +2019/06/21 21:00,0.816262934,0,0.300364,0,0.654390935,0.310330579 +2019/06/21 22:00,0.777709928,0,0,0,0.542209632,0.375803489 +2019/06/21 23:00,0.679701023,0,0,0,0.520679887,0.387741047 +2019/06/22 00:00,0.694201254,0,0,0,0.58470255,0.239761249 +2019/06/22 01:00,0.531681059,0,0,0,0.599433428,0.220293848 +2019/06/22 02:00,0.520628823,0,0,0,0.603399433,0.262580349 +2019/06/22 03:00,0.571718371,0,0,0,0.607365439,0.311570248 +2019/06/22 04:00,0.532944667,0,0,0,0.615864023,0.277272727 +2019/06/22 05:00,0.595456206,0,0,0.001666667,0.663456091,0.272222222 +2019/06/22 06:00,0.562501923,1.29E-05,0,0.395,0.683852691,0.331083563 +2019/06/22 07:00,0.513785725,0.027668075,0,0.401666667,0.687252125,0.356565657 +2019/06/22 08:00,0.465423895,0.258476858,0.000898,0.546666667,0.688951841,0.35661157 +2019/06/22 09:00,0.473964304,0.518972453,0.099664,0.551666667,0.69121813,0.375619835 +2019/06/22 10:00,0.491230238,0.636754421,0.36711,0.341666667,0.692917847,0.385399449 +2019/06/22 11:00,0.527105051,0.707673366,0.318564,0,0.689518414,0.377640037 +2019/06/22 12:00,0.549334539,0.718120459,0.317352,0,0.692351275,0.363865932 +2019/06/22 13:00,0.562294688,0.70798201,0.40601,0,0.688385269,0.370064279 +2019/06/22 14:00,0.544112782,0.638372259,0.417024,0,0.688385269,0.383057851 +2019/06/22 15:00,0.501879063,0.523236489,0.520446,0,0.690651558,0.369559229 +2019/06/22 16:00,0.497401623,0.265858539,0.7491,0,0.68611898,0.366023875 +2019/06/22 17:00,0.512203331,0.026008181,0.74877,0.481666667,0.671388102,0.361065197 +2019/06/22 18:00,0.518084779,8.82E-06,0.655552,1,0.652124646,0.384343434 +2019/06/22 19:00,0.511860022,0,0.607892,0.686666667,0.645325779,0.393067034 +2019/06/22 20:00,0.481993115,0,0.534998,0.076666667,0.65325779,0.369191919 +2019/06/22 21:00,0.480292918,0,0.421066,0,0.661189802,0.35573921 +2019/06/22 22:00,0.461804727,0,0.000012,0,0.628328612,0.384297521 +2019/06/22 23:00,0.406397854,0,0,0,0.621529745,0.383425161 +2019/06/23 00:00,0.405988672,0,0,0,0.622096317,0.311065197 +2019/06/23 01:00,0.419584471,0,0,0,0.359773371,0.314646465 +2019/06/23 02:00,0.432915817,0,0,0,0.283286119,0.325619835 +2019/06/23 03:00,0.44565623,0,0,0,0.139943343,0.339577594 +2019/06/23 04:00,0.415647959,0,0,0,0.058356941,0.334067952 +2019/06/23 05:00,0.41029013,0,0,0,0.066855524,0.329843893 +2019/06/23 06:00,0.418710813,1.56E-05,0,0.39,0.077620397,0.369375574 +2019/06/23 07:00,0.383866888,0.029971713,0,0.401666667,0.097450425,0.395592287 +2019/06/23 08:00,0.378513386,0.269887871,0.001596,0.48,0.115014164,0.39513315 +2019/06/23 09:00,0.3059704,0.53982119,0.104492,0.551666667,0.12407932,0.391735537 +2019/06/23 10:00,0.267010617,0.656881406,0.368814,0.286666667,0.105382436,0.385078053 +2019/06/23 11:00,0.279854887,0.706370956,0.422258,0,0.090084986,0.381955923 +2019/06/23 12:00,0.276309286,0.733414282,0.412832,0,0.099716714,0.385261708 +2019/06/23 13:00,0.270286956,0.726814047,0.420036,0,0.100849858,0.39426079 +2019/06/23 14:00,0.227983517,0.661399141,0.52487,0,0.099150142,0.396235078 +2019/06/23 15:00,0.197013598,0.524490059,0.755742,0,0.102549575,0.39687787 +2019/06/23 16:00,0.152802246,0.28132873,0.915748,0,0.115014164,0.397474747 +2019/06/23 17:00,0.138261146,0.028705255,0.75732,0.541666667,0.12407932,0.397291093 +2019/06/23 18:00,0.148791207,1.02E-05,0.65247,1,0.120679887,0.396923783 +2019/06/23 19:00,0.158118244,0,0.623322,0.438333333,0.113314448,0.395684114 +2019/06/23 20:00,0.149811517,0,0.55695,0.101666667,0.110481586,0.395775941 +2019/06/23 21:00,0.164812286,0,0.422392,0,0.095750708,0.396097337 +2019/06/23 22:00,0.161563353,0,0.018436,0,0.084419263,0.39600551 +2019/06/23 23:00,0.166048967,0,0,0,0.160906516,0.395821855 +2019/06/24 00:00,0.168898334,0,0,0,0.383002833,0.396280992 +2019/06/24 01:00,0.190155595,0,0,0,0.388101983,0.396740129 +2019/06/24 02:00,0.245820191,0,0,0,0.386968839,0.396786042 +2019/06/24 03:00,0.252152171,0,0,0,0.388101983,0.39738292 +2019/06/24 04:00,0.25376053,0,0,0,0.387535411,0.396280992 +2019/06/24 05:00,0.238934781,0,0,0,0.436827195,0.395867769 +2019/06/24 06:00,0.285140593,1.70E-05,0,0.633333333,0.453824363,0.398117539 +2019/06/24 07:00,0.321716929,0.029559962,0,0.303333333,0.435127479,0.403673095 +2019/06/24 08:00,0.299880275,0.276427733,0.003424,0.148333333,0.411898017,0.426767677 +2019/06/24 09:00,0.282961015,0.556007028,0.134676,0,0.471954674,0.429935721 +2019/06/24 10:00,0.237267281,0.681271749,0.31052,0,0.467988669,0.44251607 +2019/06/24 11:00,0.242622226,0.734999559,0.334652,0,0.469121813,0.431818182 +2019/06/24 12:00,0.309743432,0.747565782,0.290704,0,0.464589235,0.429889807 +2019/06/24 13:00,0.311362369,0.728984052,0.254858,0,0.469688385,0.418365473 +2019/06/24 14:00,0.331354579,0.659243381,0.312354,0.003333333,0.469121813,0.426997245 +2019/06/24 15:00,0.398196427,0.511012149,0.479064,0,0.540509915,0.429568411 +2019/06/24 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19:00,0.575053852,0,0.541546,0.631666667,0.497450425,0.39476584 +2019/06/25 20:00,0.604421664,0,0.525094,0.12,0.475354108,0.414370983 +2019/06/25 21:00,0.619885468,0,0.345556,0,0.413031161,0.382874197 +2019/06/25 22:00,0.568926703,0,0,0,0.400566572,0.402938476 +2019/06/25 23:00,0.514013636,0,0,0,0.283852691,0.412488522 +2019/06/26 00:00,0.531146863,0,0,0,0.072521246,0.4 +2019/06/26 01:00,0.519702754,0,0,0,0.140509915,0.309182736 +2019/06/26 02:00,0.504988076,0,0,0,0.275354108,0.310009183 +2019/06/26 03:00,0.50094434,0,0,0,0.435694051,0.390082645 +2019/06/26 04:00,0.454329827,0,0,0,0.492917847,0.412764004 +2019/06/26 05:00,0.417740028,0,0,0,0.549575071,0.398806244 +2019/06/26 06:00,0.441380255,1.49E-05,0,0.491666667,0.565439093,0.412396694 +2019/06/26 07:00,0.441591818,0.015067936,0,0.163333333,0.613597734,0.442240588 +2019/06/26 08:00,0.381700292,0.148868192,0,0.15,0.633427762,0.431634527 +2019/06/26 09:00,0.312974574,0.346301359,0.086554,0.135,0.629461756,0.404269972 +2019/06/26 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23:00,0.252435858,0,0,0,0.499716714,0.396280992 +2019/06/27 00:00,0.256644036,0,0,0,0.493484419,0.397015611 +2019/06/27 01:00,0.194265685,0,0,0,0.502549575,0.396602388 +2019/06/27 02:00,0.18342453,0,0,0,0.503116147,0.397979798 +2019/06/27 03:00,0.247591549,0,0,0,0.504249292,0.4043618 +2019/06/27 04:00,0.302013694,0,0,0,0.51898017,0.402800735 +2019/06/27 05:00,0.330665558,0,0,0,0.537677054,0.363452709 +2019/06/27 06:00,0.401871851,6.11E-06,0,0.453333333,0.568838527,0.352708907 +2019/06/27 07:00,0.487233623,0.022575109,0,0.011666667,0.5898017,0.375757576 +2019/06/27 08:00,0.543987287,0.228326064,0,0,0.626062323,0.40261708 +2019/06/27 09:00,0.543685329,0.475456352,0.11034,0.161666667,0.560339943,0.391873278 +2019/06/27 10:00,0.521675578,0.599580108,0.392312,0.125,0.540509915,0.356887052 +2019/06/27 11:00,0.556686348,0.650465679,0.296962,0,0.544475921,0.362304867 +2019/06/27 12:00,0.673175751,0.719051818,0.291574,0,0.545042493,0.385674931 +2019/06/27 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16:00,0.469460899,0.245842123,0.761928,0,0.676487252,0.44164371 +2019/06/28 17:00,0.397338635,0.023757453,0.748874,0.155,0.656657224,0.436363636 +2019/06/28 18:00,0.367232758,4.07E-06,0.664282,0.656666667,0.628328612,0.450918274 +2019/06/28 19:00,0.330886256,0,0.589092,0.45,0.636260623,0.414554637 +2019/06/28 20:00,0.292366908,0,0.542662,0.226666667,0.631728045,0.408034894 +2019/06/28 21:00,0.270462938,0,0.441008,0,0.641359773,0.42630854 +2019/06/28 22:00,0.285103089,0,0.031668,0,0.547875354,0.447520661 +2019/06/28 23:00,0.29282898,0,0,0,0.513314448,0.447566575 +2019/06/29 00:00,0.299895661,0,0,0,0.503116147,0.407070707 +2019/06/29 01:00,0.3091299,0,0,0,0.539943343,0.409182736 +2019/06/29 02:00,0.277136785,0,0,0,0.54674221,0.438062443 +2019/06/29 03:00,0.226905989,0,0,0,0.549575071,0.437098255 +2019/06/29 04:00,0.236250817,0,0,0.008333333,0.561473088,0.412121212 +2019/06/29 05:00,0.249684579,0,0,0.348333333,0.606232295,0.416896235 +2019/06/29 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22:00,0.814806997,0,0,0,0.619830028,0.464830119 +2019/06/30 23:00,0.731726257,0,0,0,0.617563739,0.463544536 +2019/07/01 00:00,0.687813017,0,0,0,0.597733711,0.464784206 +2019/07/01 01:00,0.656914259,0,0,0,0.405665722,0.480348944 +2019/07/01 02:00,0.646114456,0,0,0,0.382436261,0.478236915 +2019/07/01 03:00,0.693689176,0,0,0,0.370538244,0.463682277 +2019/07/01 04:00,0.714502154,0,0,0,0.392634561,0.481083563 +2019/07/01 05:00,0.643118437,0,0,0.121666667,0.598866856,0.472727273 +2019/07/01 06:00,0.566993307,1.22E-05,0,0.5,0.705949008,0.465564738 +2019/07/01 07:00,0.518685329,0.010392148,0,0.183333333,0.701983003,0.474242424 +2019/07/01 08:00,0.517564046,0.122096202,0,0,0.707648725,0.478099174 +2019/07/01 09:00,0.524543217,0.185128104,0,0.11,0.700849858,0.471671258 +2019/07/01 10:00,0.598867177,0.339929046,0,0.045,0.688385269,0.46533517 +2019/07/01 11:00,0.705446782,0.39399399,0,0,0.684985836,0.454775023 +2019/07/01 12:00,0.76545611,0.45848839,0,0,0.694050992,0.452020202 +2019/07/01 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06:00,0.499085952,5.97E-05,0,0.486666667,0.626628895,0.416161616 +2019/07/29 07:00,0.536255626,0.038055475,0,0.35,0.536543909,0.430762167 +2019/07/29 08:00,0.597307862,0.294580753,0.00012,0.196666667,0.466288952,0.460789715 +2019/07/29 09:00,0.613368369,0.536455274,0.067812,0,0.601133144,0.44775023 +2019/07/29 10:00,0.647411721,0.650470428,0.230842,0,0.606798867,0.458677686 +2019/07/29 11:00,0.750999635,0.694628237,0.260112,0,0.606232295,0.469972452 +2019/07/29 12:00,0.748661384,0.71155482,0.260726,0,0.607932011,0.480808081 +2019/07/29 13:00,0.772427107,0.695000644,0.263212,0,0.607932011,0.479522498 +2019/07/29 14:00,0.743842078,0.63641593,0.359142,0,0.607365439,0.478879706 +2019/07/29 15:00,0.691902912,0.528264335,0.448348,0,0.658923513,0.47231405 +2019/07/29 16:00,0.63122668,0.314405877,0.557914,0,0.673087819,0.469834711 +2019/07/29 17:00,0.619025272,0.051614785,0.517878,0.138333333,0.66572238,0.463177227 +2019/07/29 18:00,0.559738143,3.39E-06,0.425676,1.001666667,0.674220963,0.46584022 +2019/07/29 19:00,0.638062565,0,0.428218,0.72,0.646458924,0.467263545 +2019/07/29 20:00,0.676965131,0,0.383508,0.001666667,0.644192635,0.472130395 +2019/07/29 21:00,0.688420779,0,0.223006,0,0.650991501,0.468778696 +2019/07/29 22:00,0.726906951,0,0,0,0.598300283,0.476675849 +2019/07/29 23:00,0.715414279,0,0,0,0.593767705,0.467263545 +2019/07/30 00:00,0.700111071,0,0,0,0.575637394,0.466161616 +2019/07/30 01:00,0.719046428,0,0,0,0.502549575,0.479660239 +2019/07/30 02:00,0.751315536,0,0,0,0.346175637,0.471166208 +2019/07/30 03:00,0.718877659,0,0,0,0.374504249,0.466069789 +2019/07/30 04:00,0.655995884,0,0,0,0.542776204,0.465289256 +2019/07/30 05:00,0.659834789,0,0,0,0.3898017,0.467998163 +2019/07/30 06:00,0.652648863,6.92E-05,0,0,0.396600567,0.464233242 +2019/07/30 07:00,0.587259588,0.036398972,0,0.34,0.402266289,0.462764004 +2019/07/30 08:00,0.540428703,0.276956837,0,0.205,0.596600567,0.464049587 +2019/07/30 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18:00,0.328528773,0.001124007,0.68024,0.543333333,0.611331445,0.369559229 +2019/08/24 19:00,0.307743201,0,0.683354,0.86,0.606798867,0.36795225 +2019/08/24 20:00,0.297100627,0,0.677218,0.106666667,0.615864023,0.368227732 +2019/08/24 21:00,0.215839808,0,0.504684,0,0.600566572,0.368549128 +2019/08/24 22:00,0.228678309,0,0.068292,0,0.535977337,0.369100092 +2019/08/24 23:00,0.211033004,0,0.005532,0,0.547308782,0.370339761 +2019/08/25 00:00,0.275202427,0,0,0,0.530311615,0.371349862 +2019/08/25 01:00,0.298002654,0,0,0,0.533711048,0.374380165 +2019/08/25 02:00,0.288621764,0,0,0,0.537677054,0.377043159 +2019/08/25 03:00,0.285753645,0,0,0,0.539943343,0.375068871 +2019/08/25 04:00,0.289188656,0,0,0,0.541076487,0.374793388 +2019/08/25 05:00,0.236055603,0,0,0.055,0.545042493,0.374471993 +2019/08/25 06:00,0.248342116,0.001414336,0,0.593333333,0.571104816,0.374747475 +2019/08/25 07:00,0.313153441,0.126139778,0,0.358333333,0.664589235,0.375803489 +2019/08/25 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20:00,0.51872091,0,0.68152,0.186666667,0.617563739,0.37892562 +2019/08/25 21:00,0.446011559,0,0.51344,0,0.590934844,0.378787879 +2019/08/25 22:00,0.345050871,0,0.069996,0,0.553541076,0.376997245 +2019/08/25 23:00,0.303161903,0,0.01358,0,0.564305949,0.374793388 +2019/08/26 00:00,0.242966015,0,0,0,0.579036827,0.374242424 +2019/08/26 01:00,0.204636112,0,0,0,0.582436261,0.374242424 +2019/08/26 02:00,0.179960669,0,0,0,0.587535411,0.37594123 +2019/08/26 03:00,0.159819402,0,0,0,0.589235127,0.376446281 +2019/08/26 04:00,0.14820412,0,0,0,0.588668555,0.376767677 +2019/08/26 05:00,0.15011684,0,0,0.02,0.640793201,0.376170799 +2019/08/26 06:00,0.146978498,0.001795562,0,0.486666667,0.676487252,0.375390266 +2019/08/26 07:00,0.162928896,0.132187846,0,0.143333333,0.683852691,0.370156107 +2019/08/26 08:00,0.176193888,0.449911477,0.08136,0,0.680453258,0.377915519 +2019/08/26 09:00,0.22320412,0.632501238,0.455,0.343333333,0.652124646,0.363820018 +2019/08/26 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21:00,0.408741393,0,0.711756,0.21,0.620396601,0.328145087 +2019/08/30 22:00,0.353963919,0,0.111426,0,0.495750708,0.328833792 +2019/08/30 23:00,0.35648921,0,0.075122,0,0.505382436,0.338200184 +2019/08/31 00:00,0.37348973,0,0.075216,0,0.518413598,0.343709826 +2019/08/31 01:00,0.425704408,0,0.07462,0,0.519546742,0.336317723 +2019/08/31 02:00,0.439915183,0,0.021336,0,0.521246459,0.323599633 +2019/08/31 03:00,0.392961688,0,0,0,0.523512748,0.333700643 +2019/08/31 04:00,0.392421722,0,0,0,0.544475921,0.336225895 +2019/08/31 05:00,0.411410451,0,0,0.135,0.576203966,0.33728191 +2019/08/31 06:00,0.413150075,0.002431844,0,0.35,0.603966006,0.338383838 +2019/08/31 07:00,0.426687214,0.166747841,0.011888,0.35,0.656090652,0.33953168 +2019/08/31 08:00,0.476680482,0.494551584,0.140094,0,0.675354108,0.338934803 +2019/08/31 09:00,0.526705485,0.680306473,0.593404,0,0.671954674,0.33865932 +2019/08/31 10:00,0.514946917,0.796748045,0.42733,0,0.535410765,0.337741047 +2019/08/31 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00:00,0.422001577,0,0.079148,0,0.691784703,0.357529844 +2019/09/26 01:00,0.41122341,0,0.078956,0,0.699716714,0.359412305 +2019/09/26 02:00,0.406904643,0,0.07909,0,0.704249292,0.357988981 +2019/09/26 03:00,0.479175963,0,0.078776,0,0.709915014,0.356749311 +2019/09/26 04:00,0.49819258,0,0.00845,0,0.705382436,0.356841139 +2019/09/26 05:00,0.527416144,7.46E-06,0.058866,0,0.717847025,0.358034894 +2019/09/26 06:00,0.56477959,0.036324354,0.087412,0.196666667,0.732577904,0.367722681 +2019/09/26 07:00,0.555045294,0.304435656,0.085162,0.203333333,0.759206799,0.368135904 +2019/09/26 08:00,0.547152075,0.576703139,0.512294,0.19,0.771104816,0.362029385 +2019/09/26 09:00,0.49655441,0.734205225,0.714788,0,0.763739377,0.359871442 +2019/09/26 10:00,0.448683021,0.822940734,0.720564,0,0.719546742,0.350275482 +2019/09/26 11:00,0.359691022,0.85955813,0.750698,0,0.727478754,0.35748393 +2019/09/26 12:00,0.279650056,0.860536295,0.777318,0,0.755807365,0.334756657 +2019/09/26 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01:00,0.121708274,0,0.076842,0,0.635127479,0.230945822 +2019/10/27 02:00,0.153422991,0,0.076314,0,0.607932011,0.247704316 +2019/10/27 03:00,0.18600752,0,0.076682,0,0.610764873,0.260238751 +2019/10/27 04:00,0.195916837,0,0.025496,0,0.611331445,0.241046832 +2019/10/27 05:00,0.20077557,0.001524227,0.158766,0,0.612464589,0.25399449 +2019/10/27 06:00,0.174881717,0.118072297,0.43073,0,0.613597734,0.274517906 +2019/10/27 07:00,0.217921779,0.419382848,0.710522,0.286666667,0.62776204,0.25348944 +2019/10/27 08:00,0.325476016,0.611226504,0.9002,0.216666667,0.629461756,0.254591368 +2019/10/27 09:00,0.429503885,0.737892673,0.900422,0.203333333,0.628328612,0.265656566 +2019/10/27 10:00,0.536337847,0.824001655,0.898328,0.203333333,0.624929178,0.25348944 +2019/10/27 11:00,0.667670308,0.881107591,0.89685,0.203333333,0.621529745,0.260560147 +2019/10/27 12:00,0.811526811,0.878462071,0.89592,0.053333333,0.625495751,0.259733701 +2019/10/27 13:00,0.880040005,0.845361181,0.897306,0,0.625495751,0.250459137 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16:00,0.67167702,0.485340424,0.777302,0,0.694050992,0.259641873 +2019/10/28 17:00,0.737169193,0.222577144,0.887574,0.346666667,0.684419263,0.258631772 +2019/10/28 18:00,0.735045871,0.026083476,0.83685,0.601666667,0.692351275,0.260927456 +2019/10/28 19:00,0.711454687,0,0.776384,0.968333333,0.682152975,0.26134068 +2019/10/28 20:00,0.663646286,0,0.68525,0.405,0.660056657,0.26097337 +2019/10/28 21:00,0.663441936,0,0.518164,0.05,0.656657224,0.252157943 +2019/10/28 22:00,0.65602858,0,0.002714,0,0.648725212,0.25137741 +2019/10/28 23:00,0.640844136,0,0,0,0.647592068,0.251698806 +2019/10/29 00:00,0.613195753,0,0,0,0.64305949,0.251561065 +2019/10/29 01:00,0.563557334,0,0,0,0.647025496,0.256565657 +2019/10/29 02:00,0.520797592,0,0,0,0.650424929,0.257162534 +2019/10/29 03:00,0.517573182,0,0,0,0.655524079,0.256336088 +2019/10/29 04:00,0.542489999,0,0,0,0.663456091,0.247153352 +2019/10/29 05:00,0.491685098,0.003084406,0.119512,0,0.707082153,0.253764922 +2019/10/29 06:00,0.413766492,0.138564228,0.196734,0,0.707648725,0.234848485 +2019/10/29 07:00,0.390336866,0.449086617,0.34594,0,0.702549575,0.225022957 +2019/10/29 08:00,0.385666135,0.650487386,0.8214,0.306666667,0.687818697,0.225114784 +2019/10/29 09:00,0.386660961,0.782172583,0.905316,0.223333333,0.700849858,0.218962351 +2019/10/29 10:00,0.40532273,0.838451624,0.90382,0.203333333,0.690084986,0.194444444 +2019/10/29 11:00,0.42271464,0.887028809,0.902006,0.02,0.715580737,0.194031221 +2019/10/29 12:00,0.455952129,0.88366832,0.902262,0,0.714447592,0.198071625 +2019/10/29 13:00,0.523458957,0.858555546,0.901996,0,0.70368272,0.211111111 +2019/10/29 14:00,0.5637362,0.812916924,0.904502,0,0.704249292,0.209917355 +2019/10/29 15:00,0.564358388,0.689378574,0.905114,0,0.70878187,0.208402204 +2019/10/29 16:00,0.551675193,0.522168106,0.900602,0,0.707648725,0.217676768 +2019/10/29 17:00,0.508275955,0.254309824,0.904514,0.35,0.71898017,0.207116621 +2019/10/29 18:00,0.464198273,0.032512091,0.847982,0.536666667,0.698016997,0.208402204 +2019/10/29 19:00,0.462816383,3.87E-05,0.785606,0.876666667,0.690084986,0.208861341 +2019/10/29 20:00,0.462353829,0,0.685582,0.405,0.679320113,0.209136823 +2019/10/29 21:00,0.460445436,0,0.648782,0.053333333,0.668555241,0.219237833 +2019/10/29 22:00,0.443546852,0,0.137622,0,0.659490085,0.221717172 +2019/10/29 23:00,0.40842453,0,0.078282,0,0.470254958,0.240358127 +2019/10/30 00:00,0.359225584,0,0.078494,0,0.536543909,0.217033976 +2019/10/30 01:00,0.319897969,0,0.078388,0,0.658356941,0.199770432 +2019/10/30 02:00,0.298724372,0,0.078458,0,0.662889518,0.236455464 +2019/10/30 03:00,0.293543967,0,0.078462,0,0.657223796,0.241322314 +2019/10/30 04:00,0.303015733,0,0.07841,0,0.658356941,0.211019284 +2019/10/30 05:00,0.274249913,0.003528039,0.169678,0,0.707082153,0.222405877 +2019/10/30 06:00,0.252847925,0.142084806,0.305612,0,0.711048159,0.247061524 +2019/10/30 07:00,0.256161288,0.448866835,0.371354,0.19,0.700283286,0.219375574 +2019/10/30 08:00,0.276343424,0.649214145,0.494452,0.203333333,0.70368272,0.153673095 +2019/10/30 09:00,0.331779628,0.777545635,0.497156,0.203333333,0.703116147,0.154912764 +2019/10/30 10:00,0.416601916,0.855181489,0.497298,0.003333333,0.707082153,0.156703398 +2019/10/30 11:00,0.458534639,0.910006851,0.49641,0,0.709915014,0.142745638 +2019/10/30 12:00,0.480342924,0.914798635,0.49764,0,0.717280453,0.173921028 +2019/10/30 13:00,0.505942993,0.895678983,0.49797,0,0.721813031,0.200642792 +2019/10/30 14:00,0.497234777,0.836822933,0.497364,0,0.722946176,0.191138659 +2019/10/30 15:00,0.493999788,0.720713748,0.50002,0,0.72917847,0.174885216 +2019/10/30 16:00,0.48172241,0.538286788,0.498448,0,0.729745042,0.212442608 +2019/10/30 17:00,0.545749029,0.258350009,0.620116,0.27,0.738810198,0.240220386 +2019/10/30 18:00,0.550208197,0.034005115,0.681868,0.776666667,0.702549575,0.224196511 +2019/10/30 19:00,0.516911086,2.44E-05,0.674972,0.795,0.677053824,0.204591368 +2019/10/30 20:00,0.485612763,0,0.669866,0.405,0.664589235,0.224977043 +2019/10/30 21:00,0.451246778,0,0.513702,0.316666667,0.67082153,0.221303949 +2019/10/30 22:00,0.461535946,0,0.101196,0,0.656657224,0.215059688 +2019/10/30 23:00,0.436469112,0,0.079972,0,0.656657224,0.207300275 +2019/10/31 00:00,0.366635093,0,0.079264,0,0.661756374,0.233471074 +2019/10/31 01:00,0.331741162,0,0.078038,0,0.658356941,0.229843893 +2019/10/31 02:00,0.340233969,0,0.078064,0,0.662322946,0.207392103 +2019/10/31 03:00,0.350205793,0,0.07783,0,0.666855524,0.224977043 +2019/10/31 04:00,0.343377601,0,0.077838,0,0.669688385,0.229109275 +2019/10/31 05:00,0.326309286,0.00343375,0.164112,0,0.711048159,0.194995409 +2019/10/31 06:00,0.312545678,0.136540744,0.347044,0,0.713314448,0.195454545 +2019/10/31 07:00,0.260501212,0.422824738,0.45361,0.078333333,0.70368272,0.222268136 +2019/10/31 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19:00,0.753176328,0.000337813,0.791664,0.351666667,0.683286119,0.367217631 +2019/11/17 20:00,0.702843597,0,0.685246,0.3,0.684985836,0.371120294 +2019/11/17 21:00,0.641860118,0,0.635866,0.201666667,0.67592068,0.371487603 +2019/11/17 22:00,0.609397719,0,0.090188,0.033333333,0.669121813,0.369100092 +2019/11/17 23:00,0.57571739,0,0.074232,0,0.670254958,0.372681359 +2019/11/18 00:00,0.534355406,0,0.074032,0,0.512747875,0.367217631 +2019/11/18 01:00,0.473614744,0,0.073798,0,0.376203966,0.361524334 +2019/11/18 02:00,0.405102993,0,0.073686,0,0.384135977,0.375665748 +2019/11/18 03:00,0.363666,0,0.073726,0,0.385269122,0.377869605 +2019/11/18 04:00,0.31554362,0,0.085698,0,0.646458924,0.36620753 +2019/11/18 05:00,0.278860061,0.009890855,0.365562,0.196666667,0.711614731,0.328007346 +2019/11/18 06:00,0.220853849,0.174628101,0.53428,0.351666667,0.744475921,0.326492195 +2019/11/18 07:00,0.176244374,0.461083035,0.788066,0.201666667,0.707648725,0.329843893 +2019/11/18 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17:00,0.423856118,0.233674764,0.72916,0.155,0.767705382,0.446786042 +2019/12/29 18:00,0.376069835,0.071964943,0.790088,0.858333333,0.754674221,0.469605142 +2019/12/29 19:00,0.301731931,0.005194717,0.71799,1.005,0.749575071,0.46795225 +2019/12/29 20:00,0.248311824,0,0.456866,0.766666667,0.744475921,0.45661157 +2019/12/29 21:00,0.274999519,0,0.211864,0.07,0.745042493,0.44825528 +2019/12/29 22:00,0.294090183,0,0.07268,0,0.73427762,0.438797062 +2019/12/29 23:00,0.285437262,0,0,0,0.700283286,0.429889807 +2019/12/30 00:00,0.250439474,0,0,0,0.712181303,0.383976125 +2019/12/30 01:00,0.225814036,0,0,0,0.715580737,0.372084481 +2019/12/30 02:00,0.249770647,0,0,0,0.718413598,0.373324151 +2019/12/30 03:00,0.290414279,0,0,0,0.722379603,0.37543618 +2019/12/30 04:00,0.243389141,0,0,0.01,0.727478754,0.379568411 +2019/12/30 05:00,0.260646421,0.003689484,0,0.203333333,0.74674221,0.396464646 +2019/12/30 06:00,0.264112205,0.090395404,0,0.203333333,0.761473088,0.397015611 +2019/12/30 07:00,0.227571451,0.353632842,0.13178,0.203333333,0.772804533,0.398209366 +2019/12/30 08:00,0.219033446,0.571327984,0.786042,0.203333333,0.790934844,0.412304867 +2019/12/30 09:00,0.201143401,0.696724303,0.847716,0.203333333,0.798866856,0.443663912 +2019/12/30 10:00,0.179920279,0.73152443,0.831168,0.203333333,0.79490085,0.449494949 +2019/12/30 11:00,0.205959341,0.740201738,0.786418,0.003333333,0.801699717,0.402984389 +2019/12/30 12:00,0.310304074,0.679276755,0.714474,0,0.8,0.375711662 +2019/12/30 13:00,0.432827826,0.50017976,0.75779,0,0.792067989,0.374104683 +2019/12/30 14:00,0.427070912,0.528141556,0.712198,0,0.789235127,0.365059688 +2019/12/30 15:00,0.498716679,0.525378683,0.821598,0,0.784135977,0.368411387 +2019/12/30 16:00,0.555978574,0.462403761,0.783606,0,0.788668555,0.397658402 +2019/12/30 17:00,0.527854656,0.22334231,0.815032,0.168333333,0.779603399,0.447796143 +2019/12/30 18:00,0.489038158,0.082245843,0.843042,0.72,0.761473088,0.438567493 +2019/12/30 19:00,0.445267242,0.006327543,0.77007,1.005,0.750708215,0.457070707 +2019/12/30 20:00,0.47838741,0,0.726342,0.743333333,0.746175637,0.419008264 +2019/12/30 21:00,0.460079528,0,0.44723,0.276666667,0.732011331,0.433930211 +2019/12/30 22:00,0.434302996,0,0.110702,0,0.703116147,0.441873278 +2019/12/30 23:00,0.398529157,0,0.095976,0,0.692351275,0.428604224 +2019/12/31 00:00,0.360341097,0,0.041756,0,0.69631728,0.363774105 +2019/12/31 01:00,0.342124091,0,0,0,0.69631728,0.36134068 +2019/12/31 02:00,0.339498788,0,0,0,0.69631728,0.371028466 +2019/12/31 03:00,0.334541486,0,0,0,0.694050992,0.353764922 +2019/12/31 04:00,0.323424337,0,0,0,0.695184136,0.357254362 +2019/12/31 05:00,0.279752952,0.003995414,0.06899,0.203333333,0.72917847,0.373645546 +2019/12/31 06:00,0.249015271,0.111862107,0.17852,0.203333333,0.738810198,0.376584022 +2019/12/31 07:00,0.226027522,0.371013234,0.524588,0.203333333,0.744475921,0.371028466 +2019/12/31 08:00,0.203986518,0.590986237,0.894422,0.203333333,0.758640227,0.391965106 +2019/12/31 09:00,0.182840809,0.756873944,0.942972,0.203333333,0.767705382,0.442883379 +2019/12/31 10:00,0.150351964,0.836926041,0.950246,0.195,0.771104816,0.459090909 +2019/12/31 11:00,0.141370639,0.876514561,0.979658,0,0.780736544,0.430853994 +2019/12/31 12:00,0.197344405,0.827370963,0.952164,0,0.780169972,0.434435262 +2019/12/31 13:00,0.271837616,0.762015073,0.917204,0,0.773937677,0.396189164 +2019/12/31 14:00,0.394561873,0.673881928,0.849238,0,0.766005666,0.352892562 +2019/12/31 15:00,0.494140189,0.603035565,0.7709,0,0.760906516,0.339164371 +2019/12/31 16:00,0.582119571,0.484683114,0.823794,0,0.766005666,0.352387511 +2019/12/31 17:00,0.631497384,0.307313169,0.87575,0.033333333,0.766572238,0.411294766 +2019/12/31 18:00,0.58938291,0.113608151,0.83659,0.4,0.752974504,0.433471074 +2019/12/31 19:00,0.519646498,0.006674852,0.783404,0.855,0.749008499,0.438567493 +2019/12/31 20:00,0.59574374,0,0.75902,0.81,0.743909348,0.436455464 +2019/12/31 21:00,0.615594588,0,0.74609,0.366666667,0.733711048,0.422773186 +2019/12/31 22:00,0.57102983,0,0.166672,0,0.696883853,0.434481175 +2019/12/31 23:00,0.513770339,0,0.147252,0,0.695184136,0.411662075 +2020/01/01 00:00,0.444087779,0,0.166304,0,0.704815864,0.356060606 +2020/01/01 01:00,0.378933146,0,0.11078,0,0.704815864,0.347199265 +2020/01/01 02:00,0.310310324,0,0.07872,0,0.70368272,0.348943985 +2020/01/01 03:00,0.256368042,0,0.078068,0,0.649291785,0.354545455 +2020/01/01 04:00,0.229028349,0,0.019406,0,0.588101983,0.372222222 +2020/01/01 05:00,0.214397815,0.003660315,0.144456,0.2,0.594334278,0.452662994 +2020/01/01 06:00,0.177357003,0.117173499,0.270538,0.203333333,0.609631728,0.446786042 +2020/01/01 07:00,0.139372331,0.36938997,0.622082,0.203333333,0.624362606,0.411799816 +2020/01/01 08:00,0.124906239,0.544199866,0.805988,0.203333333,0.675354108,0.395684114 +2020/01/01 09:00,0.131019445,0.678533975,0.832086,0.198333333,0.797733711,0.427869605 +2020/01/01 10:00,0.124876909,0.764248842,0.875622,0,0.801133144,0.401836547 +2020/01/01 11:00,0.142921779,0.845791248,0.905126,0,0.810764873,0.370431589 +2020/01/01 12:00,0.227523849,0.831353489,0.956512,0,0.807932011,0.383471074 +2020/01/01 13:00,0.298604166,0.747524403,0.90418,0,0.790368272,0.389669421 +2020/01/01 14:00,0.387685118,0.709266784,0.775668,0,0.795467422,0.39338843 +2020/01/01 15:00,0.472665596,0.667810798,0.754102,0,0.783569405,0.362396694 +2020/01/01 16:00,0.606640189,0.515178505,0.89362,0,0.778470255,0.40087236 +2020/01/01 17:00,0.710090107,0.322117909,0.922082,0,0.782436261,0.375114784 +2020/01/01 18:00,0.738092376,0.104690033,0.882412,0.213333333,0.777903683,0.372038567 +2020/01/01 19:00,0.694208466,0.007054043,0.788262,0.553333333,0.770538244,0.378328742 +2020/01/01 20:00,0.654884698,0,0.747678,0.555,0.766572238,0.38292011 +2020/01/01 21:00,0.633846694,0,0.758088,0.188333333,0.761473088,0.361478421 +2020/01/01 22:00,0.595006635,0,0.222904,0,0.735977337,0.372773186 +2020/01/01 23:00,0.526304958,0,0.17786,0,0.720679887,0.391322314 +2020/01/02 00:00,0.437981786,0,0.090844,0,0.712181303,0.369788797 +2020/01/02 01:00,0.388867946,0,0.074708,0,0.710481586,0.370293848 +2020/01/02 02:00,0.356119456,0,0.074288,0,0.717280453,0.377731864 +2020/01/02 03:00,0.312450475,0,0.017224,0,0.716713881,0.381864096 +2020/01/02 04:00,0.306172828,0,0.00078,0.006666667,0.716713881,0.371303949 +2020/01/02 05:00,0.261255145,0.003672525,0.109404,0.203333333,0.738810198,0.37107438 +2020/01/02 06:00,0.216002327,0.113597297,0.222374,0.203333333,0.760906516,0.378236915 +2020/01/02 07:00,0.160293495,0.376513204,0.561004,0.203333333,0.766005666,0.39077135 +2020/01/02 08:00,0.122503077,0.584234732,0.918412,0.203333333,0.768271955,0.395546373 +2020/01/02 09:00,0.081306016,0.74240973,0.936826,0.196666667,0.773371105,0.351147842 +2020/01/02 10:00,0.094598896,0.835547657,0.958144,0,0.788101983,0.349632691 +2020/01/02 11:00,0.150601993,0.87733535,0.957168,0,0.784135977,0.360284665 +2020/01/02 12:00,0.222071778,0.822160644,0.92418,0,0.780169972,0.333746556 +2020/01/02 13:00,0.346875601,0.824317761,0.8014,0,0.788101983,0.357713499 +2020/01/02 14:00,0.445955783,0.746071402,0.824402,0,0.779036827,0.360330579 +2020/01/02 15:00,0.523057949,0.628247377,0.921688,0,0.789235127,0.358448118 +2020/01/02 16:00,0.539789687,0.545108161,0.931926,0,0.787535411,0.363360882 +2020/01/02 17:00,0.626869927,0.380212184,0.93706,0,0.787535411,0.375344353 +2020/01/02 18:00,0.643159307,0.132176992,0.905116,0.156666667,0.782436261,0.382001837 +2020/01/02 19:00,0.641747605,0.007378289,0.799076,0.555,0.76713881,0.366988062 +2020/01/02 20:00,0.605849713,0,0.761498,0.543333333,0.763172805,0.355417815 +2020/01/02 21:00,0.546299573,0,0.746324,0.246666667,0.758640227,0.353856749 +2020/01/02 22:00,0.474064315,0,0.228362,0.01,0.716713881,0.353535354 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12:00,0.298405585,0.805141128,0.96885,0,0.802266289,0.360284665 +2020/01/03 13:00,0.336964361,0.712548586,0.90016,0,0.799433428,0.322589532 +2020/01/03 14:00,0.381764723,0.675741255,0.825798,0,0.801133144,0.33204775 +2020/01/03 15:00,0.468363657,0.56787117,0.963504,0,0.797167139,0.325849403 +2020/01/03 16:00,0.523898911,0.444070303,0.946088,0,0.803399433,0.299173554 +2020/01/03 17:00,0.560084817,0.248974691,0.949348,0.276666667,0.802266289,0.265381084 +2020/01/03 18:00,0.556894546,0.093009042,0.901318,0.425,0.770538244,0.422084481 +2020/01/03 19:00,0.487893795,0.006774568,0.819194,0.555,0.770538244,0.376997245 +2020/01/03 20:00,0.457891776,0,0.808424,0.256666667,0.598300283,0.356014692 +2020/01/03 21:00,0.422295361,0,0.708824,0,0.586402266,0.373370064 +2020/01/03 22:00,0.362074951,0,0.228196,0,0.732577904,0.393204775 +2020/01/03 23:00,0.314986825,0,0.166532,0,0.725779037,0.383700643 +2020/01/04 00:00,0.260316094,0,0.074028,0,0.714447592,0.380257117 +2020/01/04 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04:00,0.677105531,0,0,0,0.743342776,0.460146924 +2020/01/18 05:00,0.57028311,0.000142451,0.02866,0,0.748441926,0.460422406 +2020/01/18 06:00,0.484062103,0.022403489,0.13267,0.33,0.781303116,0.461799816 +2020/01/18 07:00,0.365486402,0.101699917,0.1154,0.201666667,0.792067989,0.470798898 +2020/01/18 08:00,0.321940993,0.179327631,0.417512,0.201666667,0.799433428,0.488292011 +2020/01/18 09:00,0.328532619,0.299477001,0.675722,0.201666667,0.804532578,0.469467401 +2020/01/18 10:00,0.368040543,0.532134257,0.649316,0,0.807932011,0.466850321 +2020/01/18 11:00,0.379739489,0.615873124,0.72358,0,0.799433428,0.480211203 +2020/01/18 12:00,0.413492903,0.672050414,0.863698,0,0.793201133,0.460560147 +2020/01/18 13:00,0.447041966,0.606817303,0.86777,0,0.801133144,0.44600551 +2020/01/18 14:00,0.475351483,0.574773944,0.88577,0,0.797733711,0.444168962 +2020/01/18 15:00,0.488659268,0.444624506,0.832032,0,0.787535411,0.46097337 +2020/01/18 16:00,0.529055756,0.297018023,0.695784,0,0.789235127,0.457621671 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19:00,0.808382698,0.007186319,0.818234,0.555,0.785835694,0.471395776 +2020/01/19 20:00,0.819142593,0,0.796576,0.666666667,0.7898017,0.484986226 +2020/01/19 21:00,0.811512386,0,0.790436,0.07,0.76713881,0.503673095 +2020/01/19 22:00,0.772909374,0,0.2402,0,0.760906516,0.509871442 +2020/01/19 23:00,0.691095607,0,0.08511,0,0.758640227,0.506427916 +2020/01/20 00:00,0.68715044,0,0.075932,0,0.759773371,0.51758494 +2020/01/20 01:00,0.687127842,0,0.074232,0,0.766005666,0.511019284 +2020/01/20 02:00,0.681458438,0,0.074004,0,0.767705382,0.505647383 +2020/01/20 03:00,0.672394892,0,0.0736,0,0.773937677,0.505922865 +2020/01/20 04:00,0.626647305,0,0.07418,0,0.777903683,0.505004591 +2020/01/20 05:00,0.59128986,0.000324924,0.258604,0.16,0.809065156,0.505876951 +2020/01/20 06:00,0.550288014,0.067070052,0.550232,0.203333333,0.806798867,0.503948577 +2020/01/20 07:00,0.525347155,0.290980131,0.50501,0.203333333,0.803399433,0.491551882 +2020/01/20 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20:00,0.663927088,0,0.802044,0.621666667,0.781303116,0.482506887 +2020/01/20 21:00,0.618986325,0,0.637628,0,0.77733711,0.460009183 +2020/01/20 22:00,0.506457957,0,0.236558,0,0.764305949,0.466345271 +2020/01/20 23:00,0.363357791,0,0.170454,0,0.752974504,0.472268136 +2020/01/21 00:00,0.284887679,0,0.077748,0,0.761473088,0.444536272 +2020/01/21 01:00,0.235256953,0,0.073988,0,0.760339943,0.431634527 +2020/01/21 02:00,0.190341674,0,0.073472,0,0.759206799,0.440449954 +2020/01/21 03:00,0.17712813,0,0.07313,0,0.761473088,0.449357208 +2020/01/21 04:00,0.208042274,0,0.072738,0,0.771104816,0.425895317 +2020/01/21 05:00,0.220465823,0.000402255,0.224244,0.01,0.80509915,0.419146006 +2020/01/21 06:00,0.232940339,0.065673353,0.450186,0.383333333,0.802832861,0.441092746 +2020/01/21 07:00,0.260907509,0.296511305,0.433494,0.21,0.778470255,0.422359963 +2020/01/21 08:00,0.290436397,0.482854992,0.731762,0.203333333,0.807365439,0.384435262 +2020/01/21 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12:00,0.317546255,0.851036841,0.742348,0,0.633427762,0.282644628 +2020/01/23 13:00,0.333578874,0.785113181,0.722422,0,0.633427762,0.298714417 +2020/01/23 14:00,0.379562065,0.764263765,0.748056,0.243333333,0.637393768,0.315610652 +2020/01/23 15:00,0.482613859,0.69145022,0.748708,0.3,0.792634561,0.313177227 +2020/01/23 16:00,0.551205428,0.548172895,0.755702,0.3,0.796600567,0.279889807 +2020/01/23 17:00,0.602284398,0.358276749,0.768222,0.633333333,0.802832861,0.282277319 +2020/01/23 18:00,0.720847117,0.135960087,0.70501,0.705,0.800566572,0.308172635 +2020/01/23 19:00,0.752506539,0.006941439,0.62704,0.963333333,0.77733711,0.311662075 +2020/01/23 20:00,0.795377832,0,0.60664,0.475,0.770538244,0.310881543 +2020/01/23 21:00,0.73515598,0,0.611492,0,0.765439093,0.296831956 +2020/01/23 22:00,0.694740739,0,0.276784,0,0.76713881,0.292102847 +2020/01/23 23:00,0.638296246,0,0.117328,0,0.759773371,0.304637282 +2020/01/24 00:00,0.582999481,0,0.089052,0,0.735410765,0.298576676 +2020/01/24 01:00,0.536653268,0,0.082806,0,0.742209632,0.278282828 +2020/01/24 02:00,0.482429223,0,0.079394,0,0.74674221,0.276629936 +2020/01/24 03:00,0.427498846,0,0.064178,0,0.749575071,0.28241506 +2020/01/24 04:00,0.440098858,0,0,0,0.755240793,0.286593205 +2020/01/24 05:00,0.491216775,0.000337134,0.000002,0,0.791501416,0.285674931 +2020/01/24 06:00,0.459512636,0.056913966,0,0.398333333,0.790934844,0.279935721 +2020/01/24 07:00,0.400750567,0.241696796,0.058344,0.203333333,0.781303116,0.282782369 +2020/01/24 08:00,0.33791976,0.341768022,0.289284,0.203333333,0.783002833,0.281267218 +2020/01/24 09:00,0.336410932,0.491263677,0.366722,0.2,0.788101983,0.298760331 +2020/01/24 10:00,0.346248606,0.544457634,0.386042,0,0.789235127,0.305463728 +2020/01/24 11:00,0.372477113,0.524212618,0.383936,0,0.782436261,0.303719008 +2020/01/24 12:00,0.35959678,0.698061308,0.487736,0,0.786402266,0.29687787 +2020/01/24 13:00,0.392133227,0.683742937,0.587112,0,0.777903683,0.273140496 +2020/01/24 14:00,0.359440993,0.574564337,0.60691,0,0.774504249,0.257254362 +2020/01/24 15:00,0.333385102,0.530456725,0.63361,0,0.773937677,0.258034894 +2020/01/24 16:00,0.364343482,0.445694924,0.63594,0,0.780736544,0.190541781 +2020/01/24 17:00,0.354659672,0.3049322,0.756866,0.09,0.771671388,0.334986226 +2020/01/24 18:00,0.392972266,0.091868755,0.805794,0.435,0.772804533,0.275573921 +2020/01/24 19:00,0.430060199,0.006170846,0.821464,1.005,0.776770538,0.277915519 +2020/01/24 20:00,0.363753991,0,0.704914,0.966666667,0.772804533,0.281864096 +2020/01/24 21:00,0.500303881,0,0.57693,0.603333333,0.764305949,0.27594123 +2020/01/24 22:00,0.432129188,0,0.221268,0.36,0.712181303,0.280257117 +2020/01/24 23:00,0.379059122,0,0.137384,0,0.72917847,0.300918274 +2020/01/25 00:00,0.420810574,0,0.082492,0,0.721246459,0.294674013 +2020/01/25 01:00,0.384069316,0,0.077078,0,0.72407932,0.282782369 +2020/01/25 02:00,0.42674299,0,0.077474,0,0.720679887,0.268273646 +2020/01/25 03:00,0.375557276,0,0.062662,0,0.722946176,0.279843893 +2020/01/25 04:00,0.306621437,0,0,0.001666667,0.719546742,0.264600551 +2020/01/25 05:00,0.343512232,0.00024488,0,0.203333333,0.742209632,0.267125803 +2020/01/25 06:00,0.339093453,0.062111397,0,0.353333333,0.764872521,0.294628099 +2020/01/25 07:00,0.392881871,0.303847537,0.087158,0.203333333,0.769405099,0.29513315 +2020/01/25 08:00,0.418839674,0.520936243,0.495566,0.203333333,0.78470255,0.286501377 +2020/01/25 09:00,0.403936031,0.663856762,0.614458,0.203333333,0.796600567,0.290725436 +2020/01/25 10:00,0.383442801,0.742731263,0.682148,0,0.809065156,0.308494031 +2020/01/25 11:00,0.350951552,0.797073647,0.732776,0,0.806798867,0.300964187 +2020/01/25 12:00,0.385828172,0.798196298,0.75526,0,0.808498584,0.27594123 +2020/01/25 13:00,0.37422443,0.762430894,0.767788,0,0.808498584,0.275528007 +2020/01/25 14:00,0.396724622,0.69913851,0.728082,0,0.801133144,0.282598714 +2020/01/25 15:00,0.410396392,0.628359981,0.741814,0,0.803966006,0.273645546 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05:00,0.489924799,0.000325603,0.146468,0.28,0.727478754,0.291322314 +2020/01/26 06:00,0.491379775,0.065347072,0.273058,0.406666667,0.744475921,0.282093664 +2020/01/26 07:00,0.414675732,0.29804842,0.377288,0.203333333,0.75184136,0.309182736 +2020/01/26 08:00,0.428874966,0.516929297,0.326556,0.203333333,0.768271955,0.304178145 +2020/01/26 09:00,0.567228911,0.727527659,0.378566,0.2,0.779036827,0.299219467 +2020/01/26 10:00,0.600213486,0.826422646,0.722576,0,0.779603399,0.289761249 +2020/01/26 11:00,0.641003289,0.870011328,0.951106,0,0.788101983,0.289485767 +2020/01/26 12:00,0.724378774,0.86161621,0.935766,0,0.783569405,0.29775023 +2020/01/26 13:00,0.812910143,0.83273323,0.947542,0,0.790368272,0.297291093 +2020/01/26 14:00,0.812351906,0.803279767,0.947848,0,0.796033994,0.305509642 +2020/01/26 15:00,0.812812055,0.733234522,0.961936,0,0.792634561,0.304912764 +2020/01/26 16:00,0.815624399,0.613503008,0.996356,0,0.786402266,0.310055096 +2020/01/26 17:00,0.781027619,0.41203237,0.981742,0.1,0.798300283,0.319467401 +2020/01/26 18:00,0.747329019,0.141185329,0.89789,0.25,0.790368272,0.311019284 +2020/01/26 19:00,0.77364744,0.006792883,0.812616,0.921666667,0.783569405,0.309687787 +2020/01/26 20:00,0.757921587,0,0.777572,0.911666667,0.775637394,0.294857668 +2020/01/26 21:00,0.699389833,0,0.765696,0.093333333,0.75694051,0.291000918 +2020/01/26 22:00,0.627332961,0,0.239948,0,0.724645892,0.288888889 +2020/01/26 23:00,0.605787206,0,0.098236,0,0.713314448,0.288062443 +2020/01/27 00:00,0.576503058,0,0.06654,0,0.70878187,0.287190083 +2020/01/27 01:00,0.510726718,0,0.065708,0,0.728611898,0.290220386 +2020/01/27 02:00,0.458052371,0,0.062164,0,0.736543909,0.29302112 +2020/01/27 03:00,0.445415336,0,0.060576,0,0.739943343,0.293847567 +2020/01/27 04:00,0.429871235,0,0.059942,0.003333333,0.735410765,0.296097337 +2020/01/27 05:00,0.376150614,0.000409717,0.204704,0.356666667,0.79490085,0.293847567 +2020/01/27 06:00,0.36119985,0.068402987,0.441346,0.503333333,0.794334278,0.288016529 +2020/01/27 07:00,0.298077182,0.342633582,0.644478,0.358333333,0.787535411,0.305968779 +2020/01/27 08:00,0.297364119,0.602542413,0.92996,0.353333333,0.803399433,0.304178145 +2020/01/27 09:00,0.242702523,0.765787314,0.993714,0.351666667,0.805665722,0.234343434 +2020/01/27 10:00,0.173223353,0.868206948,0.998928,0,0.807365439,0.236088154 +2020/01/27 11:00,0.139908932,0.900678339,0.996242,0,0.814164306,0.232598714 +2020/01/27 12:00,0.147887256,0.896888461,0.99528,0,0.818130312,0.231221304 +2020/01/27 13:00,0.175902508,0.873992498,0.99757,0,0.813597734,0.221395776 +2020/01/27 14:00,0.191150421,0.799636411,1.000348,0,0.815864023,0.231588613 +2020/01/27 15:00,0.191729815,0.698921442,0.99585,0,0.815864023,0.23379247 +2020/01/27 16:00,0.199554275,0.547964645,0.999882,0,0.678753541,0.239853076 +2020/01/27 17:00,0.200341866,0.349505152,0.984544,0.19,0.631728045,0.272176309 +2020/01/27 18:00,0.208116802,0.116950325,0.940868,0.673333333,0.645325779,0.288475666 +2020/01/27 19:00,0.261584991,0.006300409,0.840282,1.005,0.64815864,0.300137741 +2020/01/27 20:00,0.339432435,0,0.813966,0.661666667,0.769405099,0.307254362 +2020/01/27 21:00,0.290046448,0,0.812858,0.175,0.76713881,0.292056933 +2020/01/27 22:00,0.232308055,0,0.291594,0,0.702549575,0.297337006 +2020/01/27 23:00,0.233764473,0,0.132808,0,0.713314448,0.28328742 +2020/01/28 00:00,0.179456764,0,0.091078,0,0.737110482,0.28328742 +2020/01/28 01:00,0.151131861,0,0.08428,0,0.737110482,0.281359045 +2020/01/28 02:00,0.150078855,0,0.07796,0,0.742209632,0.293480257 +2020/01/28 03:00,0.151122726,0,0.073632,0,0.736543909,0.29912764 +2020/01/28 04:00,0.12733777,0,0.07296,0,0.71898017,0.301193756 +2020/01/28 05:00,0.104404354,0.000286937,0.138834,0.083333333,0.796033994,0.272359963 +2020/01/28 06:00,0.092935723,0.063738731,0.42352,0.76,0.798866856,0.27405877 +2020/01/28 07:00,0.096428915,0.31974915,0.49816,0.718333333,0.793201133,0.287235996 +2020/01/28 08:00,0.110821922,0.54371214,0.760376,0.36,0.802266289,0.33466483 +2020/01/28 09:00,0.109294342,0.698616189,0.989786,0,0.818130312,0.353397612 +2020/01/28 10:00,0.120031157,0.796884391,0.849074,0,0.812464589,0.365610652 +2020/01/28 11:00,0.190990787,0.858904212,0.793226,0,0.807365439,0.345362718 +2020/01/28 12:00,0.248111321,0.876247295,0.80984,0,0.783569405,0.316942149 +2020/01/28 13:00,0.271186098,0.875105651,0.971902,0,0.779036827,0.343939394 +2020/01/28 14:00,0.284033254,0.823634674,0.99307,0,0.78470255,0.340633609 +2020/01/28 15:00,0.343390103,0.743031767,0.988598,0,0.790934844,0.33640955 +2020/01/28 16:00,0.374930761,0.610222563,0.986356,0,0.785835694,0.351974288 +2020/01/28 17:00,0.394781129,0.399232121,0.981902,0.22,0.785835694,0.352295684 +2020/01/28 18:00,0.431480075,0.140496815,0.937944,0.723333333,0.8101983,0.339485767 +2020/01/28 19:00,0.536655672,0.006519512,0.829226,1.005,0.787535411,0.350367309 +2020/01/28 20:00,0.550695753,0,0.808762,0.726666667,0.775637394,0.342011019 +2020/01/28 21:00,0.533956803,0,0.803002,0.033333333,0.773937677,0.314554637 +2020/01/28 22:00,0.542025041,0,0.270238,0,0.759206799,0.312213039 +2020/01/28 23:00,0.490059911,0,0.090812,0,0.722379603,0.337006428 +2020/01/29 00:00,0.425218294,0,0.084324,0,0.717280453,0.321763085 +2020/01/29 01:00,0.364792572,0,0.07836,0,0.722379603,0.292883379 +2020/01/29 02:00,0.317499615,0,0.072874,0,0.72407932,0.316345271 +2020/01/29 03:00,0.252386814,0,0.072756,0,0.723512748,0.334940312 +2020/01/29 04:00,0.207470093,0,0.072776,0,0.724645892,0.306152433 +2020/01/29 05:00,0.191243701,0.000272014,0.179466,0.085,0.793767705,0.301515152 +2020/01/29 06:00,0.185914721,0.065677423,0.423728,0.776666667,0.79490085,0.328650138 +2020/01/29 07:00,0.208708216,0.334443321,0.487198,0.351666667,0.788101983,0.319834711 +2020/01/29 08:00,0.231670962,0.579529776,0.872458,0.351666667,0.806232295,0.306565657 +2020/01/29 09:00,0.242851098,0.739357885,0.995132,0.351666667,0.814730878,0.30224977 +2020/01/29 10:00,0.286990807,0.835958052,0.989924,0,0.797167139,0.302708907 +2020/01/29 11:00,0.319197888,0.883308122,0.989982,0,0.792634561,0.301836547 +2020/01/29 12:00,0.327237277,0.887529423,0.986628,0,0.797167139,0.294582185 +2020/01/29 13:00,0.350853945,0.871919495,0.984496,0,0.790368272,0.29338843 +2020/01/29 14:00,0.395903854,0.828301644,0.97708,0,0.790368272,0.283471074 +2020/01/29 15:00,0.492761665,0.73101839,0.971054,0,0.784135977,0.267401286 +2020/01/29 16:00,0.539027099,0.603275697,0.97752,0,0.785269122,0.304545455 +2020/01/29 17:00,0.544340693,0.38306392,0.953428,0.193333333,0.785269122,0.305647383 +2020/01/29 18:00,0.513958822,0.1368772,0.899756,0.488333333,0.797167139,0.315243343 +2020/01/29 19:00,0.503408566,0.006061634,0.74551,1.005,0.798866856,0.30785124 +2020/01/29 20:00,0.513334712,0,0.79554,0.836666667,0.776203966,0.282828283 +2020/01/29 21:00,0.498627245,0,0.784422,0.23,0.766572238,0.298347107 +2020/01/29 22:00,0.457309978,0,0.245986,0,0.682719547,0.303719008 +2020/01/29 23:00,0.43049775,0,0.15259,0,0.698016997,0.281910009 +2020/01/30 00:00,0.381181002,0,0.083048,0,0.715014164,0.281221304 +2020/01/30 01:00,0.378625418,0,0.07527,0,0.720679887,0.304315886 +2020/01/30 02:00,0.375295707,0,0.071738,0,0.688951841,0.302525253 +2020/01/30 03:00,0.355283302,0,0.07148,0,0.602832861,0.279063361 +2020/01/30 04:00,0.332679732,0,0.075682,0,0.609631728,0.287832874 +2020/01/30 05:00,0.318980555,0.00017162,0.304634,0.008333333,0.790368272,0.314325069 +2020/01/30 06:00,0.344406085,0.057512261,0.57412,0.79,0.788101983,0.306152433 +2020/01/30 07:00,0.325616898,0.316979494,0.633736,0.36,0.644192635,0.267906336 +2020/01/30 08:00,0.299616302,0.561732205,0.931866,0.353333333,0.653824363,0.270707071 +2020/01/30 09:00,0.327587799,0.731415896,0.994946,0.345,0.70878187,0.272910927 +2020/01/30 10:00,0.333738508,0.820078823,0.989424,0,0.773371105,0.242194674 +2020/01/30 11:00,0.312589433,0.867077514,0.984452,0,0.777903683,0.245316804 +2020/01/30 12:00,0.323314229,0.866262151,0.978562,0,0.783002833,0.274288338 +2020/01/30 13:00,0.372635785,0.856707073,0.97743,0,0.780736544,0.264233242 +2020/01/30 14:00,0.421044255,0.810691973,0.955832,0,0.776770538,0.286593205 +2020/01/30 15:00,0.467299111,0.730947843,0.920058,0,0.776203966,0.280808081 +2020/01/30 16:00,0.489098742,0.584944274,0.930396,0,0.779603399,0.29077135 +2020/01/30 17:00,0.488767454,0.372614792,0.944566,0.213333333,0.782436261,0.239164371 +2020/01/30 18:00,0.495398027,0.125800609,0.901248,0.521666667,0.783569405,0.208907254 +2020/01/30 19:00,0.510136266,0.005428744,0.799218,1.005,0.76713881,0.395500459 +2020/01/30 20:00,0.46398671,0,0.795752,0.823333333,0.771104816,0.350918274 +2020/01/30 21:00,0.444258472,0,0.774096,0.186666667,0.737677054,0.274747475 +2020/01/30 22:00,0.415781629,0,0.189496,0,0.705949008,0.267768595 +2020/01/30 23:00,0.37894132,0,0.087248,0,0.705382436,0.254086318 +2020/01/31 00:00,0.350445244,0,0.125694,0,0.728045326,0.257070707 +2020/01/31 01:00,0.297293438,0,0.071314,0,0.730878187,0.26271809 +2020/01/31 02:00,0.273783994,0,0.071312,0,0.743342776,0.272681359 +2020/01/31 03:00,0.327639728,0,0.071312,0,0.742776204,0.273048669 +2020/01/31 04:00,0.377035331,0,0.070968,0,0.749575071,0.271671258 +2020/01/31 05:00,0.383875543,9.16E-05,0.125608,0,0.791501416,0.272956841 +2020/01/31 06:00,0.370317729,0.05118811,0.527092,0.755,0.7898017,0.283838384 +2020/01/31 07:00,0.352838789,0.296830802,0.592526,0.713333333,0.77733711,0.291414141 +2020/01/31 08:00,0.385454572,0.547714338,0.8723,0.365,0.779603399,0.24825528 +2020/01/31 09:00,0.422232373,0.722906817,0.869882,0.008333333,0.780169972,0.253213958 +2020/01/31 10:00,0.470853368,0.835502208,0.873974,0,0.779036827,0.224426079 +2020/01/31 11:00,0.503571085,0.888439075,0.877468,0,0.77733711,0.233976125 +2020/01/31 12:00,0.506899354,0.886494957,0.870992,0,0.773937677,0.252662994 +2020/01/31 13:00,0.48546515,0.834757392,0.873354,0,0.763739377,0.290909091 +2020/01/31 14:00,0.574227315,0.759171477,0.836366,0,0.765439093,0.344077135 +2020/01/31 15:00,0.689136727,0.646805364,0.811688,0,0.76713881,0.294628099 +2020/01/31 16:00,0.718715621,0.453122732,0.836792,0,0.77733711,0.282323232 +2020/01/31 17:00,0.717740028,0.183644578,0.852266,0.088333333,0.783002833,0.284802571 +2020/01/31 18:00,0.669883063,0.049310469,0.756892,0.703333333,0.78470255,0.291414141 +2020/01/31 19:00,0.67897065,0.001808451,0.74799,0.98,0.76203966,0.298714417 +2020/01/31 20:00,0.619271935,0,0.739888,0.66,0.755807365,0.313269054 +2020/01/31 21:00,0.50815046,0,0.701482,0.05,0.760906516,0.287419651 +2020/01/31 22:00,0.404908739,0,0.200484,0,0.759206799,0.289807163 +2020/01/31 23:00,0.325270223,0,0.128532,0,0.781869688,0.302846648 +2020/02/01 00:00,0.269119033,0,0.073792,0,0.751274788,0.294123049 +2020/02/01 01:00,0.242073124,0,0.072438,0,0.758073654,0.228099174 +2020/02/01 02:00,0.205622764,0,0.052046,0,0.758073654,0.223645546 +2020/02/01 03:00,0.159665058,0,0,0,0.752407932,0.2771809 +2020/02/01 04:00,0.137620687,0,0,0,0.759206799,0.2815427 +2020/02/01 05:00,0.171967919,4.14E-05,0,0.023333333,0.760906516,0.270661157 +2020/02/01 06:00,0.169501289,0.048238015,0,0.405,0.779036827,0.312442608 +2020/02/01 07:00,0.164958457,0.27753546,0.040772,0.203333333,0.785269122,0.312672176 +2020/02/01 08:00,0.219436858,0.504578107,0.224368,0.203333333,0.799433428,0.310789715 +2020/02/01 09:00,0.28505116,0.65465849,0.300524,0.203333333,0.801699717,0.339393939 +2020/02/01 10:00,0.313927088,0.777240383,0.445644,0.196666667,0.803966006,0.375711662 +2020/02/01 11:00,0.364585337,0.809538119,0.39015,0,0.8,0.348714417 +2020/02/01 12:00,0.396881371,0.827269212,0.445842,0,0.792067989,0.31010101 +2020/02/01 13:00,0.384738143,0.761506997,0.434344,0,0.784135977,0.284435262 +2020/02/01 14:00,0.433926992,0.740619594,0.409818,0,0.778470255,0.284435262 +2020/02/01 15:00,0.50048371,0.576956159,0.41936,0,0.778470255,0.284113866 +2020/02/01 16:00,0.473210851,0.444602799,0.469168,0,0.788668555,0.236317723 +2020/02/01 17:00,0.534671789,0.218718754,0.481634,0,0.779603399,0.211065197 +2020/02/01 18:00,0.505426107,0.071795359,0.464686,0.358333333,0.776203966,0.209733701 +2020/02/01 19:00,0.520138862,0.003105434,0.462334,0.855,0.768271955,0.22020202 +2020/02/01 20:00,0.409725161,0,0.461666,0.78,0.766005666,0.227364555 +2020/02/01 21:00,0.265565738,0,0.42594,0.143333333,0.769405099,0.226629936 +2020/02/01 22:00,0.349534081,0,0.024272,0,0.759773371,0.226446281 +2020/02/01 23:00,0.43604262,0,0,0,0.74674221,0.224380165 +2020/02/02 00:00,0.425688541,0,0,0,0.747875354,0.204775023 +2020/02/02 01:00,0.257048409,0,0,0,0.75184136,0.203856749 +2020/02/02 02:00,0.251027522,0,0,0,0.749008499,0.205280073 +2020/02/02 03:00,0.262305266,0,0,0,0.756373938,0.205188246 +2020/02/02 04:00,0.316798092,0,0,0,0.758640227,0.208080808 +2020/02/02 05:00,0.256544505,3.93E-05,0,0,0.760339943,0.205785124 +2020/02/02 06:00,0.247225641,0.02827858,0,0.38,0.769405099,0.203810836 +2020/02/02 07:00,0.262124957,0.218778448,0.015586,0.353333333,0.776770538,0.200964187 +2020/02/02 08:00,0.175714506,0.445388993,0.363604,0.203333333,0.784135977,0.190358127 +2020/02/02 09:00,0.182702812,0.544619757,0.389528,0.203333333,0.797167139,0.206749311 +2020/02/02 10:00,0.254263954,0.590908906,0.476162,0.05,0.797733711,0.276446281 +2020/02/02 11:00,0.236184464,0.697547128,0.654762,0,0.788668555,0.225344353 +2020/02/02 12:00,0.191847136,0.684837097,0.59598,0,0.784135977,0.232369146 +2020/02/02 13:00,0.249923549,0.629294731,0.496686,0,0.779603399,0.303030303 +2020/02/02 14:00,0.324203754,0.564573766,0.51075,0,0.776203966,0.2815427 +2020/02/02 15:00,0.261323422,0.425696823,0.728452,0,0.780169972,0.260927456 +2020/02/02 16:00,0.286051275,0.344299581,0.702146,0.003333333,0.782436261,0.293526171 +2020/02/02 17:00,0.311422953,0.242407695,0.75016,0.351666667,0.796600567,0.295316804 +2020/02/02 18:00,0.319865754,0.084654624,0.711346,0.488333333,0.793201133,0.284618916 +2020/02/02 19:00,0.334277994,0.002859876,0.640932,1.005,0.780736544,0.156749311 +2020/02/02 20:00,0.322549236,0,0.575474,0.216666667,0.779603399,0.12369146 +2020/02/02 21:00,0.212573085,0,0.181792,0,0.76713881,0.125849403 +2020/02/02 22:00,0.284492441,0,0,0,0.759773371,0.126538108 +2020/02/02 23:00,0.290757587,0,0,0,0.752407932,0.130119376 +2020/02/03 00:00,0.353094107,0,0,0,0.750708215,0.324931129 +2020/02/03 01:00,0.321705389,0,0,0,0.751274788,0.377456382 +2020/02/03 02:00,0.374017194,0,0,0,0.754674221,0.358172635 +2020/02/03 03:00,0.318219891,0,0,0,0.754107649,0.308172635 +2020/02/03 04:00,0.257780225,0,0,0,0.764305949,0.304820937 +2020/02/03 05:00,0.274338385,5.49E-05,0,0.013333333,0.800566572,0.305188246 +2020/02/03 06:00,0.231952244,0.042516229,0,0.405,0.809631728,0.359274564 +2020/02/03 07:00,0.205835289,0.267018498,0.018258,0.405,0.80509915,0.363911846 +2020/02/03 08:00,0.180193869,0.518494224,0.455172,0.193333333,0.803399433,0.344674013 +2020/02/03 09:00,0.174887968,0.699249757,0.736858,0,0.802832861,0.292470156 +2020/02/03 10:00,0.19727132,0.818406718,0.771164,0,0.79490085,0.293342516 +2020/02/03 11:00,0.209538601,0.872605973,0.784098,0,0.792634561,0.321808999 +2020/02/03 12:00,0.185260318,0.872747746,0.793606,0,0.790368272,0.366528926 +2020/02/03 13:00,0.150323595,0.795622681,0.764598,0,0.789235127,0.297061524 +2020/02/03 14:00,0.134400123,0.726788949,0.73127,0,0.788101983,0.268365473 +2020/02/03 15:00,0.153939397,0.598861748,0.594564,0,0.789235127,0.275895317 +2020/02/03 16:00,0.221647209,0.450641369,0.618812,0.296666667,0.806232295,0.349357208 +2020/02/03 17:00,0.264745932,0.245166498,0.834624,0.723333333,0.816997167,0.345684114 +2020/02/03 18:00,0.370204254,0.06600506,0.837162,1.005,0.800566572,0.297704316 +2020/02/03 19:00,0.363602531,0.002555302,0.759894,1.005,0.785835694,0.29775023 +2020/02/03 20:00,0.355794899,0,0.755954,0.44,0.776203966,0.316483012 +2020/02/03 21:00,0.319549852,0,0.729464,0,0.764872521,0.331404959 +2020/02/03 22:00,0.264179521,0,0.172296,0,0.754107649,0.395867769 +2020/02/03 23:00,0.267158711,0,0.080772,0,0.756373938,0.303443526 +2020/02/04 00:00,0.246425068,0,0.076336,0,0.748441926,0.296143251 +2020/02/04 01:00,0.247252087,0,0.076194,0,0.652691218,0.296923783 +2020/02/04 02:00,0.299092203,0,0.074576,0,0.655524079,0.303168044 +2020/02/04 03:00,0.383307209,0,0.005452,0,0.650991501,0.373875115 +2020/02/04 04:00,0.353785052,0,0,0,0.661189802,0.335583104 +2020/02/04 05:00,0.29487537,8.48E-05,0,0.421666667,0.701983003,0.292424242 +2020/02/04 06:00,0.275578913,0.041437671,0,0.96,0.712747875,0.295087236 +2020/02/04 07:00,0.283501943,0.245353041,0.00128,0.27,0.712747875,0.298301194 +2020/02/04 08:00,0.258509636,0.465902631,0.168026,0.201666667,0.70878187,0.291505969 +2020/02/04 09:00,0.23166375,0.613418894,0.491528,0.19,0.682152975,0.300183655 +2020/02/04 10:00,0.167889564,0.67917704,0.575536,0,0.677620397,0.348347107 +2020/02/04 11:00,0.157307574,0.680029711,0.499244,0,0.67592068,0.322497704 +2020/02/04 12:00,0.17762915,0.753565687,0.610392,0,0.684419263,0.285950413 +2020/02/04 13:00,0.176167442,0.734999559,0.547392,0,0.688385269,0.296969697 +2020/02/04 14:00,0.164348771,0.635761333,0.472104,0,0.683286119,0.280578512 +2020/02/04 15:00,0.256616629,0.523258874,0.377552,0,0.683852691,0.295959596 +2020/02/04 16:00,0.252936397,0.39382237,0.3944,0,0.694617564,0.299035813 +2020/02/04 17:00,0.338465496,0.19997965,0.391662,0,0.701983003,0.301606979 +2020/02/04 18:00,0.391421606,0.074881121,0.470248,0.08,0.694617564,0.302066116 +2020/02/04 19:00,0.353534542,0.00256412,0.297622,0.946666667,0.664589235,0.301606979 +2020/02/04 20:00,0.437478363,0,0.297204,0.73,0.64305949,0.298576676 +2020/02/04 21:00,0.374494653,0,0.41935,0.306666667,0.630028329,0.298576676 +2020/02/04 22:00,0.32388641,0,0.079548,0,0.628328612,0.298301194 +2020/02/04 23:00,0.391416317,0,0.055202,0,0.62776204,0.291597796 +2020/02/05 00:00,0.319947975,0,0.039948,0,0.540509915,0.274242424 +2020/02/05 01:00,0.281221872,0,0,0,0.539376771,0.282185491 +2020/02/05 02:00,0.236380159,0,0,0,0.550708215,0.282460973 +2020/02/05 03:00,0.236677309,0,0,0,0.636827195,0.281955923 +2020/02/05 04:00,0.183422126,0,0,0.015,0.646458924,0.279752066 +2020/02/05 05:00,0.15654739,3.46E-05,0,0.321666667,0.679320113,0.280211203 +2020/02/05 06:00,0.156916663,0.040388959,0,0.83,0.699150142,0.281818182 +2020/02/05 07:00,0.132830711,0.197285967,0,0.298333333,0.679886686,0.298209366 +2020/02/05 08:00,0.171968881,0.39269158,0.004818,0.993333333,0.676487252,0.299311295 +2020/02/05 09:00,0.219268569,0.582156981,0.105506,0.213333333,0.653824363,0.308999082 +2020/02/05 10:00,0.317139478,0.770555356,0.521414,0,0.644192635,0.313085399 +2020/02/05 11:00,0.372832923,0.813432461,0.554922,0,0.646458924,0.302708907 +2020/02/05 12:00,0.396059161,0.802994187,0.451836,0,0.647592068,0.248025712 +2020/02/05 13:00,0.431864254,0.749663205,0.394026,0,0.651558074,0.230945822 +2020/02/05 14:00,0.482834077,0.663124835,0.235916,0,0.660056657,0.222130395 +2020/02/05 15:00,0.468370389,0.477244453,0.098308,0,0.664022663,0.222176309 +2020/02/05 16:00,0.489209813,0.310245626,0.09328,0,0.671954674,0.237557392 +2020/02/05 17:00,0.591128303,0.183763287,0.367952,0,0.681586402,0.116528926 +2020/02/05 18:00,0.630491499,0.045621663,0.630352,0.245,0.673087819,0.286179982 +2020/02/05 19:00,0.559424164,0.00171484,0.578818,1.005,0.654390935,0.312580349 +2020/02/05 20:00,0.539636785,0,0.19309,0.898333333,0.631728045,0.327043159 +2020/02/05 21:00,0.526758376,0,0.000384,0.266666667,0.618696884,0.38953168 +2020/02/05 22:00,0.407929761,0,0,0,0.619263456,0.354820937 +2020/02/05 23:00,0.326995903,0,0,0,0.623229462,0.308172635 +2020/02/06 00:00,0.288025541,0,0,0,0.632294618,0.306060606 +2020/02/06 01:00,0.362470189,0,0,0,0.635127479,0.325252525 +2020/02/06 02:00,0.360895007,0,0,0,0.638526912,0.366758494 +2020/02/06 03:00,0.397142459,0,0,0,0.640226629,0.318319559 +2020/02/06 04:00,0.476046755,0,0,0.013333333,0.646458924,0.264784206 +2020/02/06 05:00,0.508877947,4.68E-05,0,0.633333333,0.671388102,0.26010101 +2020/02/06 06:00,0.510235796,0.025799931,0,0.633333333,0.675354108,0.340909091 +2020/02/06 07:00,0.460959438,0.169236666,0.0099,0.203333333,0.644192635,0.324334252 +2020/02/06 08:00,0.393151614,0.302270399,0.193056,0.203333333,0.641359773,0.331404959 +2020/02/06 09:00,0.382353733,0.507680828,0.41755,0.196666667,0.636827195,0.312993572 +2020/02/06 10:00,0.390278686,0.616693235,0.621678,0,0.639093484,0.33067034 +2020/02/06 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00:00,0.516261011,0,0.034696,0,0.63796034,0.293617998 +2020/02/07 01:00,0.471069258,0,0,0,0.644192635,0.29251607 +2020/02/07 02:00,0.448072374,0,0,0,0.649291785,0.292561983 +2020/02/07 03:00,0.443608878,0,0,0,0.656090652,0.291230487 +2020/02/07 04:00,0.482021002,0,0,0.013333333,0.661756374,0.290955005 +2020/02/07 05:00,0.480261665,6.78E-07,0.0035,0.64,0.686685552,0.291092746 +2020/02/07 06:00,0.463894872,0.028121884,0.137344,0.61,0.705949008,0.29164371 +2020/02/07 07:00,0.444662365,0.161230913,0.103686,0.205,0.705382436,0.31046832 +2020/02/07 08:00,0.427587799,0.27429775,0.204834,0.201666667,0.695184136,0.322956841 +2020/02/07 09:00,0.460253587,0.399205665,0.590216,0.201666667,0.686685552,0.323599633 +2020/02/07 10:00,0.502055526,0.556160332,0.695644,0,0.680453258,0.332323232 +2020/02/07 11:00,0.542570777,0.62853974,0.695966,0,0.669688385,0.324931129 +2020/02/07 12:00,0.569085856,0.612929812,0.76117,0,0.672521246,0.276033058 +2020/02/07 13:00,0.610085779,0.645683392,0.748972,0,0.677053824,0.245867769 +2020/02/07 14:00,0.669500808,0.591114443,0.637498,0,0.681586402,0.241735537 +2020/02/07 15:00,0.659314536,0.38394983,0.544416,0,0.683852691,0.255693297 +2020/02/07 16:00,0.625729411,0.290824114,0.59088,0,0.698583569,0.345362718 +2020/02/07 17:00,0.5755366,0.136997266,0.775592,0.3,0.701416431,0.326216713 +2020/02/07 18:00,0.473626284,0.042572531,0.743334,0.99,0.694617564,0.238567493 +2020/02/07 19:00,0.521817421,0.001995672,0.688132,0.925,0.660056657,0.149494949 +2020/02/07 20:00,0.477015136,0,0.472968,0.488333333,0.63286119,0.267722681 +2020/02/07 21:00,0.504472151,0,0.289994,0.076666667,0.63796034,0.350688705 +2020/02/07 22:00,0.462325941,0,0.111892,0,0.644192635,0.348989899 +2020/02/07 23:00,0.475085587,0,0.029052,0,0.652691218,0.299449036 +2020/02/08 00:00,0.401690099,0,0,0,0.645892351,0.285858586 +2020/02/08 01:00,0.323698888,0,0,0,0.650991501,0.283976125 +2020/02/08 02:00,0.303328749,0,0,0,0.660623229,0.366850321 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16:00,0.337549525,0.327375033,0.91215,0.013333333,0.700283286,0.377915519 +2020/02/08 17:00,0.387433646,0.271128552,0.926472,0.245,0.699150142,0.367768595 +2020/02/08 18:00,0.452269012,0.088367171,0.864424,0.836666667,0.698583569,0.376629936 +2020/02/08 19:00,0.47326278,0.003832613,0.766184,0.998333333,0.673087819,0.369605142 +2020/02/08 20:00,0.498337308,0,0.721716,0.518333333,0.649858357,0.370064279 +2020/02/08 21:00,0.475368312,0,0.528284,0.103333333,0.643626062,0.371717172 +2020/02/08 22:00,0.42636987,0,0.179094,0,0.637393768,0.383241506 +2020/02/08 23:00,0.379062488,0,0.120398,0,0.624362606,0.39040404 +2020/02/09 00:00,0.335903181,0,0.064888,0,0.624362606,0.393112948 +2020/02/09 01:00,0.292041389,0,0.064502,0,0.62776204,0.346740129 +2020/02/09 02:00,0.249202312,0,0.06399,0,0.646458924,0.323048669 +2020/02/09 03:00,0.238731392,0,0.063832,0,0.672521246,0.324334252 +2020/02/09 04:00,0.204266838,0,0.05401,0,0.680453258,0.367814509 +2020/02/09 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21:00,0.548751298,0,0.246014,0.023333333,0.631161473,0.437649219 +2020/02/11 22:00,0.504375024,0,0.006332,0,0.630028329,0.430027548 +2020/02/11 23:00,0.440671039,0,0,0,0.631728045,0.437144169 +2020/02/12 00:00,0.378829769,0,0,0,0.630594901,0.423553719 +2020/02/12 01:00,0.389809882,0,0,0,0.649858357,0.373875115 +2020/02/12 02:00,0.393467996,0,0,0,0.652691218,0.333838384 +2020/02/12 03:00,0.388594838,0,0,0,0.657790368,0.359550046 +2020/02/12 04:00,0.379178367,0,0,0.021666667,0.661189802,0.41707989 +2020/02/12 05:00,0.347301131,0,0,0.436666667,0.68611898,0.427502296 +2020/02/12 06:00,0.329237989,0.03319043,0,0.841666667,0.691784703,0.43415978 +2020/02/12 07:00,0.259656403,0.248429985,0.032934,0.203333333,0.68101983,0.406014692 +2020/02/12 08:00,0.212328346,0.487987302,0.319652,0.203333333,0.67592068,0.400642792 +2020/02/12 09:00,0.2713039,0.634009185,0.53052,0.193333333,0.670254958,0.405417815 +2020/02/12 10:00,0.350646709,0.73682022,0.521506,0,0.676487252,0.380027548 +2020/02/12 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00:00,0.236838385,0,0,0,0.537677054,0.385720845 +2020/02/13 01:00,0.206614706,0,0,0,0.529745042,0.361937557 +2020/02/13 02:00,0.187049467,0,0,0,0.537110482,0.348530762 +2020/02/13 03:00,0.210340616,0,0,0,0.530878187,0.354820937 +2020/02/13 04:00,0.207196503,0,0,0,0.532577904,0.384022039 +2020/02/13 05:00,0.200714506,0,0,0.191666667,0.639093484,0.38989899 +2020/02/13 06:00,0.220382159,0.032541938,0,0.961666667,0.673654391,0.389669421 +2020/02/13 07:00,0.23357022,0.258733949,0.031492,0.203333333,0.660623229,0.389164371 +2020/02/13 08:00,0.290290707,0.506248177,0.517196,0.196666667,0.665155807,0.389348026 +2020/02/13 09:00,0.257717717,0.653769867,0.88528,0.196666667,0.661756374,0.380440771 +2020/02/13 10:00,0.221525561,0.750056641,0.96077,0,0.662889518,0.391046832 +2020/02/13 11:00,0.275293784,0.823226992,0.947828,0,0.660056657,0.388383838 +2020/02/13 12:00,0.382522503,0.81066484,0.903784,0,0.667988669,0.381772268 +2020/02/13 13:00,0.424650921,0.787232311,0.897846,0,0.671954674,0.387695133 +2020/02/13 14:00,0.4654965,0.735148115,0.78201,0,0.67592068,0.387924702 +2020/02/13 15:00,0.489929607,0.630975654,0.725414,0,0.702549575,0.38204775 +2020/02/13 16:00,0.593582433,0.553611136,0.81821,0,0.705382436,0.374288338 +2020/02/13 17:00,0.633638016,0.279199425,0.841686,0.17,0.705382436,0.383884298 +2020/02/13 18:00,0.575015867,0.079807216,0.834076,0.828333333,0.692351275,0.352800735 +2020/02/13 19:00,0.522129476,0.001982784,0.792476,1.005,0.670254958,0.381037649 +2020/02/13 20:00,0.498797938,0,0.721638,0.705,0.652124646,0.386593205 +2020/02/13 21:00,0.449339347,0,0.572276,0.003333333,0.597167139,0.385307622 +2020/02/13 22:00,0.400535158,0,0.197056,0,0.581869688,0.387006428 +2020/02/13 23:00,0.347754068,0,0.078812,0,0.587535411,0.360697888 +2020/02/14 00:00,0.321717891,0,0.075378,0,0.516713881,0.321258035 +2020/02/14 01:00,0.258731777,0,0.029154,0,0.531444759,0.314738292 +2020/02/14 02:00,0.188012559,0,0,0,0.553541076,0.319054178 +2020/02/14 03:00,0.1380015,0,0,0,0.543909348,0.336914601 +2020/02/14 04:00,0.102006482,0,0,0,0.566005666,0.339669421 +2020/02/14 05:00,0.08085356,0,0.00375,0.425,0.668555241,0.344214876 +2020/02/14 06:00,0.058972189,0.034561352,0.08694,0.886666667,0.684419263,0.389990817 +2020/02/14 07:00,0.022411721,0.276727559,0.135482,0.203333333,0.673654391,0.403168044 +2020/02/14 08:00,0.02719785,0.545784465,0.681214,0.203333333,0.675354108,0.397887971 +2020/02/14 09:00,0.062274012,0.720947096,0.937466,0.203333333,0.67592068,0.380578512 +2020/02/14 10:00,0.109051044,0.817234549,0.934398,0.03,0.672521246,0.369513315 +2020/02/14 11:00,0.16397517,0.874447663,0.96165,0,0.67082153,0.385123967 +2020/02/14 12:00,0.175623149,0.879145836,0.942224,0,0.669121813,0.376905418 +2020/02/14 13:00,0.182408066,0.854478052,0.85371,0,0.666288952,0.368227732 +2020/02/14 14:00,0.239786321,0.773221227,0.719994,0,0.666288952,0.375528007 +2020/02/14 15:00,0.271738085,0.697425705,0.686006,0,0.671954674,0.370707071 +2020/02/14 16:00,0.30079865,0.526774025,0.6848,0,0.674787535,0.37231405 +2020/02/14 17:00,0.345385525,0.269262442,0.802194,0.18,0.679886686,0.372405877 +2020/02/14 18:00,0.389285302,0.057780883,0.76536,0.795,0.670254958,0.402479339 +2020/02/14 19:00,0.428226334,0.000838427,0.700852,1.005,0.650424929,0.398438935 +2020/02/14 20:00,0.407435473,0,0.674948,1.005,0.641359773,0.405922865 +2020/02/14 21:00,0.292009174,0,0.589332,0.196666667,0.611331445,0.414600551 +2020/02/14 22:00,0.248428184,0,0.06763,0,0.517280453,0.413452709 +2020/02/14 23:00,0.285496884,0,0,0,0.519546742,0.368962351 +2020/02/15 00:00,0.241462476,0,0,0,0.516147309,0.362626263 +2020/02/15 01:00,0.1772041,0,0,0,0.514447592,0.368227732 +2020/02/15 02:00,0.126036658,0,0,0,0.511614731,0.397015611 +2020/02/15 03:00,0.100862119,0,0,0,0.514447592,0.403397612 +2020/02/15 04:00,0.111442666,0,0,0,0.490651558,0.388292011 +2020/02/15 05:00,0.121988595,6.78E-07,0,0.04,0.592634561,0.384894399 +2020/02/15 06:00,0.127467592,0.033762948,0,0.376666667,0.625495751,0.410927456 +2020/02/15 07:00,0.115468612,0.220238911,0,0.203333333,0.670254958,0.415748393 +2020/02/15 08:00,0.141039351,0.39382644,0,0.203333333,0.688385269,0.4140955 +2020/02/15 09:00,0.173322403,0.588645968,0.018854,0.19,0.68101983,0.458769513 +2020/02/15 10:00,0.188001981,0.59629695,0.139172,0,0.669688385,0.462672176 +2020/02/15 11:00,0.272989191,0.654611685,0.096456,0,0.675354108,0.466896235 +2020/02/15 12:00,0.35791726,0.570008615,0.041002,0,0.679886686,0.470752984 +2020/02/15 13:00,0.333123053,0.587969665,0.216932,0,0.66572238,0.467171717 +2020/02/15 14:00,0.292751087,0.442954436,0.164112,0,0.671388102,0.48204775 +2020/02/15 15:00,0.223085837,0.348349941,0.210156,0,0.671954674,0.489164371 +2020/02/15 16:00,0.196788572,0.268911063,0.124648,0,0.677053824,0.507988981 +2020/02/15 17:00,0.208340385,0.132883821,0.321434,0,0.678753541,0.510514233 +2020/02/15 18:00,0.258049967,0.027932627,0.288424,0.305,0.677053824,0.507346189 +2020/02/15 19:00,0.323562815,0.000627463,0.102784,0.998333333,0.62776204,0.528512397 +2020/02/15 20:00,0.290556122,0,0.111532,1.005,0.608498584,0.521166208 +2020/02/15 21:00,0.350760665,0,0,0.45,0.604532578,0.505463728 +2020/02/15 22:00,0.404808247,0,0,0,0.618696884,0.50087236 +2020/02/15 23:00,0.346386121,0,0,0,0.656090652,0.526905418 +2020/02/16 00:00,0.405341001,0,0,0,0.657790368,0.457529844 +2020/02/16 01:00,0.511321018,0,0,0,0.641359773,0.443158861 +2020/02/16 02:00,0.575062507,0,0,0,0.483286119,0.464508724 +2020/02/16 03:00,0.508876986,0,0,0,0.443626062,0.463820018 +2020/02/16 04:00,0.474305689,0,0,0,0.368838527,0.451515152 +2020/02/16 05:00,0.441800015,6.78E-07,0,0.006666667,0.354674221,0.470982553 +2020/02/16 06:00,0.419132496,0.015432203,0,0.75,0.492351275,0.476078972 +2020/02/16 07:00,0.457723007,0.100562343,0,0.418333333,0.670254958,0.544995409 +2020/02/16 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11:00,0.28524397,0.623176117,0.258518,0,0.811331445,0.582001837 +2020/02/17 12:00,0.317541928,0.563961905,0.378406,0,0.809631728,0.578833792 +2020/02/17 13:00,0.325762107,0.496278634,0.31218,0,0.807932011,0.558402204 +2020/02/17 14:00,0.384484748,0.365791384,0.360368,0,0.787535411,0.556014692 +2020/02/17 15:00,0.389614667,0.316525685,0.392748,0,0.793767705,0.563957759 +2020/02/17 16:00,0.39265396,0.224603341,0.39248,0,0.799433428,0.561524334 +2020/02/17 17:00,0.365194542,0.109135186,0.49759,0.113333333,0.795467422,0.55224977 +2020/02/17 18:00,0.325087991,0.033171437,0.50921,0.543333333,0.786968839,0.572773186 +2020/02/17 19:00,0.299765838,0.001351929,0.324796,0.976666667,0.776203966,0.543112948 +2020/02/17 20:00,0.309542928,0,0.298706,0.821666667,0.752407932,0.545546373 +2020/02/17 21:00,0.327689733,0,0.286456,0.243333333,0.742776204,0.539623508 +2020/02/17 22:00,0.300349079,0,0.074292,0,0.703116147,0.542332415 +2020/02/17 23:00,0.305675174,0,0,0,0.708215297,0.552571166 +2020/02/18 00:00,0.303823037,0,0,0,0.722946176,0.548668503 +2020/02/18 01:00,0.322048217,0,0,0,0.718413598,0.5359045 +2020/02/18 02:00,0.34119658,0,0,0,0.733711048,0.558034894 +2020/02/18 03:00,0.408181232,0,0,0,0.739376771,0.559182736 +2020/02/18 04:00,0.43383275,0,0,0,0.742776204,0.559182736 +2020/02/18 05:00,0.407017156,1.29E-06,0,0.306666667,0.781869688,0.55922865 +2020/02/18 06:00,0.405191464,0.012955803,0.077914,1,0.798866856,0.566069789 +2020/02/18 07:00,0.343595415,0.111227803,0.12551,0.411666667,0.792067989,0.59302112 +2020/02/18 08:00,0.307198908,0.225915478,0.166354,0.196666667,0.792067989,0.61046832 +2020/02/18 09:00,0.294781129,0.288285491,0.275122,0,0.793201133,0.579614325 +2020/02/18 10:00,0.283492326,0.376755595,0.275032,0,0.810764873,0.588751148 +2020/02/18 11:00,0.271716448,0.443050885,0.246196,0,0.810764873,0.592470156 +2020/02/18 12:00,0.324782186,0.454440708,0.248996,0,0.813597734,0.594031221 +2020/02/18 13:00,0.451670385,0.496611778,0.291106,0,0.811331445,0.591827365 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17:00,0.233496173,0.117395936,0.515508,0.336666667,0.770538244,0.459044995 +2020/03/30 18:00,0.308663019,0.003444582,0.563196,0.873333333,0.755240793,0.465932048 +2020/03/30 19:00,0.410878659,0,0.592622,0.88,0.754107649,0.47855831 +2020/03/30 20:00,0.428561469,0,0.49456,0.095,0.747875354,0.518686869 +2020/03/30 21:00,0.358941416,0,0.258004,0,0.717847025,0.519146006 +2020/03/30 22:00,0.321556333,0,0.003552,0,0.60509915,0.538980716 +2020/03/30 23:00,0.2516675,0,0,0,0.618696884,0.536730946 +2020/03/31 00:00,0.237953899,0,0,0,0.602266289,0.515289256 +2020/03/31 01:00,0.249756222,0,0,0,0.597733711,0.525757576 +2020/03/31 02:00,0.348512328,0,0,0,0.597733711,0.545821855 +2020/03/31 03:00,0.421604897,0,0,0,0.541643059,0.517447199 +2020/03/31 04:00,0.425954918,0,0,0,0.57223796,0.500734619 +2020/03/31 05:00,0.385332442,0,0,0.065,0.641359773,0.530211203 +2020/03/31 06:00,0.426501616,0.002437044,0,0.788333333,0.707648725,0.518135904 +2020/03/31 07:00,0.401321787,0.106693189,0,0.203333333,0.725212465,0.499265381 +2020/03/31 08:00,0.362299015,0.353782096,0.038994,0.203333333,0.75184136,0.513406795 +2020/03/31 09:00,0.457175828,0.451680507,0.099464,0,0.780736544,0.520844812 +2020/03/31 10:00,0.516946186,0.519493994,0,0,0.786968839,0.518778696 +2020/03/31 11:00,0.495051833,0.434623556,0,0,0.786968839,0.53640955 +2020/03/31 12:00,0.505300612,0.511420147,0.01909,0,0.792067989,0.53503214 +2020/03/31 13:00,0.520844232,0.485998034,0.096342,0,0.798866856,0.512167126 +2020/03/31 14:00,0.539134804,0.422322989,0.067664,0,0.79490085,0.509687787 +2020/03/31 15:00,0.636018098,0.326333135,0.009224,0,0.796033994,0.535996327 +2020/03/31 16:00,0.693600223,0.25962076,0.095402,0,0.790934844,0.521028466 +2020/03/31 17:00,0.719428684,0.083745785,0.157636,0.198333333,0.773371105,0.510422406 +2020/03/31 18:00,0.6492302,0.004117256,0.144396,1.005,0.737110482,0.516115702 +2020/03/31 19:00,0.590731623,0,0.015902,0.701666667,0.742209632,0.518962351 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10:00,0.476649229,0.786561832,0.497358,0,0.802832861,0.494031221 +2020/04/01 11:00,0.454062969,0.823640087,0.588888,0,0.796600567,0.487878788 +2020/04/01 12:00,0.400820287,0.820342045,0.601018,0,0.792067989,0.49513315 +2020/04/01 13:00,0.3651354,0.809617524,0.6231,0,0.803399433,0.499632691 +2020/04/01 14:00,0.391729334,0.717559543,0.585042,0,0.805665722,0.470431589 +2020/04/01 15:00,0.396219275,0.631068921,0.63068,0,0.800566572,0.472405877 +2020/04/01 16:00,0.40879765,0.499971163,0.715424,0,0.8,0.506014692 +2020/04/01 17:00,0.416452379,0.201127596,0.694526,0.04,0.781303116,0.492975207 +2020/04/01 18:00,0.423372408,0.007865512,0.651768,0.806666667,0.724645892,0.47020202 +2020/04/01 19:00,0.463251529,0,0.61986,0.663333333,0.721246459,0.416115702 +2020/04/01 20:00,0.515091645,0,0.584818,0.183333333,0.675354108,0.476216713 +2020/04/01 21:00,0.552818594,0,0.55164,0,0.660623229,0.484389348 +2020/04/01 22:00,0.540838366,0,0.019896,0,0.662889518,0.462672176 +2020/04/01 23:00,0.53461409,0,0,0,0.665155807,0.46446281 +2020/04/02 00:00,0.535706524,0,0,0,0.474787535,0.426124885 +2020/04/02 01:00,0.426826172,0,0,0,0.416430595,0.398576676 +2020/04/02 02:00,0.287737527,0,0,0,0.417563739,0.396051423 +2020/04/02 03:00,0.300777013,0,0,0,0.445325779,0.413911846 +2020/04/02 04:00,0.398441166,0,0,0,0.511614731,0.417768595 +2020/04/02 05:00,0.439855079,0,0,0,0.713314448,0.414325069 +2020/04/02 06:00,0.430267916,0.003265674,0,0.441666667,0.766572238,0.413865932 +2020/04/02 07:00,0.407596069,0.151639899,0.018946,0.49,0.760339943,0.451836547 +2020/04/02 08:00,0.373633977,0.486852559,0.151528,0,0.797733711,0.473002755 +2020/04/02 09:00,0.375259165,0.665192239,0.580392,0,0.809065156,0.462672176 +2020/04/02 10:00,0.363813613,0.736452074,0.649124,0,0.807932011,0.460376492 +2020/04/02 11:00,0.315320037,0.729872469,0.634358,0,0.819830028,0.459504132 +2020/04/02 12:00,0.289483402,0.630142597,0.61556,0,0.815864023,0.463544536 +2020/04/02 13:00,0.289225199,0.571378716,0.54162,0,0.82266289,0.464049587 +2020/04/02 14:00,0.292683771,0.56651581,0.563508,0,0.82776204,0.465518825 +2020/04/02 15:00,0.317891968,0.528538304,0.606034,0,0.787535411,0.466804408 +2020/04/02 16:00,0.388979978,0.406143515,0.611358,0,0.793201133,0.463360882 +2020/04/02 17:00,0.439850271,0.157515051,0.621598,0.465,0.77733711,0.446556474 +2020/04/02 18:00,0.481311305,0.006079956,0.594734,0.888333333,0.743909348,0.452157943 +2020/04/02 19:00,0.463704466,0,0.58037,0.173333333,0.724645892,0.451928375 +2020/04/02 20:00,0.473930165,0,0.468982,0,0.67592068,0.452203857 +2020/04/02 21:00,0.468139112,0,0.194606,0,0.696883853,0.451698806 +2020/04/02 22:00,0.41932723,0,0.007086,0,0.684419263,0.453581267 +2020/04/02 23:00,0.392443359,0,0,0,0.695184136,0.453810836 +2020/04/03 00:00,0.357307093,0,0,0,0.70368272,0.444123049 +2020/04/03 01:00,0.34799448,0,0,0,0.707648725,0.459182736 +2020/04/03 02:00,0.364763242,0,0,0,0.71388102,0.450918274 +2020/04/03 03:00,0.330083279,0,0,0,0.71388102,0.417722681 +2020/04/03 04:00,0.318800246,0,0,0,0.715014164,0.414876033 +2020/04/03 05:00,0.313766973,0,0,0.016666667,0.738810198,0.418227732 +2020/04/03 06:00,0.293370389,0.001664911,0,0.476666667,0.752974504,0.434435262 +2020/04/03 07:00,0.307042159,0.11291792,0,0.34,0.775637394,0.440725436 +2020/04/03 08:00,0.266833673,0.386657172,0.015758,0.145,0.807365439,0.448025712 +2020/04/03 09:00,0.259694869,0.524931879,0.197696,0,0.817563739,0.460330579 +2020/04/03 10:00,0.266888968,0.631403198,0.450142,0,0.82266289,0.448209366 +2020/04/03 11:00,0.202475766,0.656916531,0.525822,0,0.834560907,0.434205693 +2020/04/03 12:00,0.158353849,0.630325626,0.543956,0,0.837393768,0.435399449 +2020/04/03 13:00,0.151429011,0.578523296,0.591036,0,0.838526912,0.435261708 +2020/04/03 14:00,0.143826211,0.48414421,0.586624,0,0.838526912,0.437603306 +2020/04/03 15:00,0.124845655,0.352196635,0.466102,0,0.835694051,0.444490358 +2020/04/03 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21:00,0.58200225,0,0.538136,0,0.666855524,0.496418733 +2020/04/05 22:00,0.525533715,0,0.074454,0,0.657790368,0.493847567 +2020/04/05 23:00,0.440007982,0,0.073442,0,0.656657224,0.492791552 +2020/04/06 00:00,0.423965265,0,0.011754,0,0.666288952,0.493250689 +2020/04/06 01:00,0.4229363,0,0,0,0.67082153,0.492883379 +2020/04/06 02:00,0.384599665,0,0,0,0.673654391,0.493939394 +2020/04/06 03:00,0.384655922,0,0,0,0.677620397,0.494398531 +2020/04/06 04:00,0.383330288,0,0,0,0.674787535,0.501010101 +2020/04/06 05:00,0.381760876,0,0,0.15,0.707082153,0.50137741 +2020/04/06 06:00,0.418902181,0.004630442,0,0.346666667,0.717280453,0.499540863 +2020/04/06 07:00,0.429438493,0.205952836,0.101266,0.343333333,0.714447592,0.483103765 +2020/04/06 08:00,0.384681886,0.574506088,0.322354,0.128333333,0.725779037,0.471808999 +2020/04/06 09:00,0.399099415,0.746769343,0.462764,0,0.721246459,0.51707989 +2020/04/06 10:00,0.526676155,0.842883374,0.62906,0,0.731444759,0.512534435 +2020/04/06 11:00,0.635155499,0.869895068,0.719528,0,0.733144476,0.511202938 +2020/04/06 12:00,0.700144247,0.86438303,0.743368,0,0.730311615,0.504086318 +2020/04/06 13:00,0.756695965,0.847202491,0.76225,0,0.729745042,0.53466483 +2020/04/06 14:00,0.801730007,0.794167221,0.671072,0,0.733144476,0.539072544 +2020/04/06 15:00,0.838628976,0.70760892,0.683514,0,0.730311615,0.514830119 +2020/04/06 16:00,0.835405047,0.509608107,0.688188,0,0.725779037,0.523048669 +2020/04/06 17:00,0.786083971,0.181429387,0.667014,0,0.699716714,0.528007346 +2020/04/06 18:00,0.754682752,0.003381611,0.677026,0.805,0.669688385,0.536179982 +2020/04/06 19:00,0.679970285,0,0.6772,0.67,0.661756374,0.538246097 +2020/04/06 20:00,0.628903335,0,0.68176,0,0.63796034,0.534022039 +2020/04/06 21:00,0.515255126,0,0.608842,0,0.635127479,0.526216713 +2020/04/06 22:00,0.442489999,0,0.092306,0,0.630028329,0.524793388 +2020/04/06 23:00,0.415021926,0,0.08025,0,0.634560907,0.491965106 +2020/04/07 00:00,0.362346617,0,0.071448,0,0.618130312,0.479522498 +2020/04/07 01:00,0.413690522,0,0,0,0.629461756,0.482277319 +2020/04/07 02:00,0.416499981,0,0,0,0.583569405,0.491046832 +2020/04/07 03:00,0.429491384,0,0,0,0.530311615,0.509641873 +2020/04/07 04:00,0.437409124,0,0,0,0.471388102,0.516666667 +2020/04/07 05:00,0.323858522,0,0,0,0.495184136,0.501147842 +2020/04/07 06:00,0.246007232,0.004954714,0,0.366666667,0.500849858,0.511294766 +2020/04/07 07:00,0.343136708,0.174735609,0,0.525,0.633994334,0.552892562 +2020/04/07 08:00,0.483038428,0.516306593,0.077488,0.02,0.716713881,0.528787879 +2020/04/07 09:00,0.545157614,0.705354316,0.230876,0,0.739376771,0.529384757 +2020/04/07 10:00,0.521991961,0.827475444,0.275088,0,0.780169972,0.547842057 +2020/04/07 11:00,0.479105281,0.910100695,0.358198,0,0.776770538,0.555096419 +2020/04/07 12:00,0.503086895,0.915718666,0.533598,0,0.793767705,0.562764004 +2020/04/07 13:00,0.502236797,0.897042709,0.54418,0,0.822096317,0.56359045 +2020/04/07 14:00,0.495256664,0.85435943,0.513244,0,0.832294618,0.579063361 +2020/04/07 15:00,0.474635054,0.762567459,0.546894,0,0.839660057,0.592837466 +2020/04/07 16:00,0.46885506,0.57778824,0.560272,0,0.830028329,0.598209366 +2020/04/07 17:00,0.459977113,0.21426209,0.528112,0.035,0.800566572,0.606749311 +2020/04/07 18:00,0.459365023,0.005226019,0.485158,0.935,0.746175637,0.629476584 +2020/04/07 19:00,0.43472468,0,0.496654,0.618333333,0.727478754,0.6315427 +2020/04/07 20:00,0.437783206,0,0.493908,0,0.677620397,0.63067034 +2020/04/07 21:00,0.415236854,0,0.456702,0,0.676487252,0.633195592 +2020/04/07 22:00,0.396851079,0,0.100058,0,0.666288952,0.636317723 +2020/04/07 23:00,0.380297246,0,0.077748,0,0.689518414,0.615059688 +2020/04/08 00:00,0.413068335,0,0.077576,0,0.654390935,0.596418733 +2020/04/08 01:00,0.468641574,0,0.007204,0,0.539376771,0.598898072 +2020/04/08 02:00,0.454813536,0,0,0,0.538810198,0.606703398 +2020/04/08 03:00,0.43236335,0,0,0,0.656090652,0.61882461 +2020/04/08 04:00,0.406340155,0,0,0,0.734844193,0.596648301 +2020/04/08 05:00,0.383144209,0,0.04963,0.063333333,0.745042493,0.605325987 +2020/04/08 06:00,0.391670193,0.003631142,0.190236,0.323333333,0.737110482,0.630991736 +2020/04/08 07:00,0.369673424,0.213547632,0.24244,0.353333333,0.758073654,0.661891644 +2020/04/08 08:00,0.324811036,0.59307317,0.450312,0.17,0.785269122,0.65087236 +2020/04/08 09:00,0.300725084,0.766725322,0.766262,0.005,0.809065156,0.670615243 +2020/04/08 10:00,0.283304324,0.854945003,0.78481,0,0.818130312,0.662350781 +2020/04/08 11:00,0.241071085,0.863188343,0.78935,0,0.817563739,0.646969697 +2020/04/08 12:00,0.201771839,0.863563816,0.779518,0,0.823229462,0.662396694 +2020/04/08 13:00,0.186968689,0.87059599,0.774738,0,0.818696884,0.680853994 +2020/04/08 14:00,0.187241316,0.820366174,0.790996,0,0.827195467,0.6684573 +2020/04/08 15:00,0.19774397,0.732588469,0.78351,0,0.823229462,0.675298439 +2020/04/08 16:00,0.269927299,0.55180586,0.772176,0,0.806798867,0.678512397 +2020/04/08 17:00,0.381470939,0.201493064,0.72445,0.505,0.683852691,0.67892562 +2020/04/08 18:00,0.467394796,0.003942467,0.526206,1.005,0.636260623,0.671717172 +2020/04/08 19:00,0.547008789,0,0.50666,0.458333333,0.639093484,0.696097337 +2020/04/08 20:00,0.58888766,0,0.66686,0.008333333,0.649291785,0.706795225 +2020/04/08 21:00,0.566049448,0,0.638912,0,0.669688385,0.666896235 +2020/04/08 22:00,0.541415356,0,0.093048,0,0.68611898,0.659779614 +2020/04/08 23:00,0.54193705,0,0.083458,0,0.685552408,0.624885216 +2020/04/09 00:00,0.51614417,0,0.082928,0,0.539376771,0.597107438 +2020/04/09 01:00,0.500781821,0,0.045078,0,0.423229462,0.596372819 +2020/04/09 02:00,0.471046659,0,0,0,0.426062323,0.623002755 +2020/04/09 03:00,0.439108839,0,0,0,0.424362606,0.606932966 +2020/04/09 04:00,0.436805208,0,0,0,0.644759207,0.597061524 +2020/04/09 05:00,0.410674309,0,0,0,0.765439093,0.603443526 +2020/04/09 06:00,0.381321883,0.002189867,0.000932,0,0.73427762,0.611616162 +2020/04/09 07:00,0.33713842,0.144009204,0.157182,0.318333333,0.755240793,0.659779614 +2020/04/09 08:00,0.297671366,0.449656013,0.298172,0.17,0.802266289,0.658585859 +2020/04/09 09:00,0.277018502,0.628141055,0.578028,0.015,0.823229462,0.666253444 +2020/04/09 10:00,0.318439628,0.75807473,0.632692,0,0.79490085,0.627364555 +2020/04/09 11:00,0.439562738,0.831352586,0.676296,0,0.794334278,0.632460973 +2020/04/09 12:00,0.46491951,0.840367469,0.661128,0,0.800566572,0.63292011 +2020/04/09 13:00,0.36990999,0.820199036,0.69457,0,0.797733711,0.624793388 +2020/04/09 14:00,0.352303631,0.753536685,0.751102,0,0.801133144,0.629660239 +2020/04/09 15:00,0.30997567,0.649238166,0.76864,0,0.792634561,0.622451791 +2020/04/09 16:00,0.25810959,0.431192509,0.723692,0,0.784135977,0.623048669 +2020/04/09 17:00,0.204919318,0.155210424,0.66349,0.213333333,0.784135977,0.568686869 +2020/04/09 18:00,0.250604877,0.002654206,0.670474,1.005,0.766572238,0.526584022 +2020/04/09 19:00,0.267259203,0,0.67937,0.285,0.749575071,0.504637282 +2020/04/09 20:00,0.225918856,0,0.64083,0,0.694617564,0.525344353 +2020/04/09 21:00,0.193078047,0,0.493274,0,0.704249292,0.504820937 +2020/04/09 22:00,0.223403181,0,0.07665,0,0.730878187,0.476124885 +2020/04/09 23:00,0.230826634,0,0.076048,0,0.743909348,0.454315886 +2020/04/10 00:00,0.249682175,0,0.062342,0,0.700849858,0.436088154 +2020/04/10 01:00,0.271153402,0,0,0,0.488385269,0.419008264 +2020/04/10 02:00,0.162180252,0,0,0,0.479886686,0.435766758 +2020/04/10 03:00,0.239828634,0,0,0,0.486685552,0.44862259 +2020/04/10 04:00,0.246812613,0,0,0,0.491784703,0.425482094 +2020/04/10 05:00,0.282422491,0,0,0.033333333,0.517847025,0.4140955 +2020/04/10 06:00,0.335808459,0.000683692,0,0.46,0.539943343,0.450137741 +2020/04/10 07:00,0.461033004,0.115484249,0,0.491666667,0.776203966,0.482644628 +2020/04/10 08:00,0.447869947,0.354434982,0.158586,0.003333333,0.82266289,0.532506887 +2020/04/10 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08:00,0.472396334,0.48055507,0.143184,0.3,0.493484419,0.448760331 +2020/04/19 09:00,0.43954062,0.648085605,0.50307,0.153333333,0.763172805,0.425206612 +2020/04/19 10:00,0.476256395,0.74598831,0.454938,0.15,0.775637394,0.43415978 +2020/04/19 11:00,0.523528676,0.7908206,0.429178,0.15,0.769971671,0.451010101 +2020/04/19 12:00,0.582799938,0.783461749,0.407538,0.15,0.769405099,0.454224059 +2020/04/19 13:00,0.525300996,0.731670791,0.48262,0.15,0.779036827,0.451561065 +2020/04/19 14:00,0.474355695,0.65549462,0.521772,0.15,0.786968839,0.428650138 +2020/04/19 15:00,0.458478863,0.543418687,0.538936,0.15,0.788668555,0.44476584 +2020/04/19 16:00,0.386221006,0.367079625,0.620074,0.15,0.773937677,0.44040404 +2020/04/19 17:00,0.348613302,0.101586076,0.641868,0.385,0.780736544,0.450964187 +2020/04/19 18:00,0.253287879,0.000829674,0.631474,1.005,0.765439093,0.469972452 +2020/04/19 19:00,0.231243509,0,0.618304,0.56,0.76203966,0.456841139 +2020/04/19 20:00,0.293619456,0,0.613366,0.15,0.763172805,0.451285583 +2020/04/19 21:00,0.44124274,0,0.398644,0.15,0.747875354,0.462993572 +2020/04/19 22:00,0.528903335,0,0.047548,0.15,0.743342776,0.444811754 +2020/04/19 23:00,0.562555776,0,0,0.15,0.671388102,0.395041322 +2020/04/20 00:00,0.544045948,0,0,0.15,0.474787535,0.400275482 +2020/04/20 01:00,0.362859657,0,0,0.15,0.490084986,0.369926538 +2020/04/20 02:00,0.260490634,0,0,0.15,0.494617564,0.372176309 +2020/04/20 03:00,0.239127592,0,0,0.15,0.501983003,0.374885216 +2020/04/20 04:00,0.407302766,0,0,0.15,0.540509915,0.376262626 +2020/04/20 05:00,0.45020964,0,0,0.288333333,0.793201133,0.38728191 +2020/04/20 06:00,0.434687175,0.001576494,0,0.49,0.7898017,0.450091827 +2020/04/20 07:00,0.397281898,0.117501508,0,0.353333333,0.788668555,0.45224977 +2020/04/20 08:00,0.35936935,0.406321758,0.090546,0.15,0.776770538,0.48466483 +2020/04/20 09:00,0.390900392,0.539142369,0.22358,0.15,0.783569405,0.485766758 +2020/04/20 10:00,0.399225872,0.725713706,0.218258,0.15,0.793201133,0.460651974 +2020/04/20 11:00,0.420060969,0.782426347,0.254738,0.15,0.797733711,0.471625344 +2020/04/20 12:00,0.477224295,0.791075364,0.30659,0.15,0.798300283,0.452800735 +2020/04/20 13:00,0.503354233,0.75874399,0.321898,0.15,0.8,0.460606061 +2020/04/20 14:00,0.483139882,0.663750218,0.405118,0.15,0.793201133,0.464233242 +2020/04/20 15:00,0.409823249,0.582932493,0.46649,0.15,0.812464589,0.482369146 +2020/04/20 16:00,0.391340828,0.357185533,0.566124,0.15,0.79490085,0.50137741 +2020/04/20 17:00,0.451728084,0.068461101,0.442552,0.313333333,0.782436261,0.507116621 +2020/04/20 18:00,0.438085164,7.83E-05,0.389712,1.005,0.779603399,0.52144169 +2020/04/20 19:00,0.433802458,0,0.382044,0.581666667,0.769405099,0.541505969 +2020/04/20 20:00,0.454371177,0,0.373612,0.3,0.763739377,0.537144169 +2020/04/20 21:00,0.46029013,0,0.19941,0.3,0.766005666,0.52107438 +2020/04/20 22:00,0.464022772,0,0.000046,0.15,0.77223796,0.517125803 +2020/04/20 23:00,0.405118379,0,0,0.15,0.762606232,0.485307622 +2020/04/21 00:00,0.262845232,0,0,0.15,0.677620397,0.46010101 +2020/04/21 01:00,0.226624226,0,0,0.15,0.444759207,0.460927456 +2020/04/21 02:00,0.188829961,0,0,0.15,0.433427762,0.474839302 +2020/04/21 03:00,0.13713842,0,0,0.15,0.43286119,0.482369146 +2020/04/21 04:00,0.094498884,0,0,0.228333333,0.646458924,0.48503214 +2020/04/21 05:00,0.083960168,0,0,0.3,0.765439093,0.477364555 +2020/04/21 06:00,0.089055468,0.001573676,0,0.493333333,0.758640227,0.500505051 +2020/04/21 07:00,0.085213679,0.093212114,0,0.503333333,0.745042493,0.573875115 +2020/04/21 08:00,0.07539091,0.243181959,0.0323,0.3,0.738243626,0.555096419 +2020/04/21 09:00,0.080632381,0.393055422,0.119504,0.15,0.739376771,0.512626263 +2020/04/21 10:00,0.118798804,0.550674956,0.070712,0.15,0.755807365,0.515243343 +2020/04/21 11:00,0.149116725,0.571342979,0,0.15,0.756373938,0.525757576 +2020/04/21 12:00,0.176629996,0.596637902,0.00937,0.15,0.753541076,0.50661157 +2020/04/21 13:00,0.21038966,0.554644655,0.155964,0.15,0.76713881,0.497658402 +2020/04/21 14:00,0.234500135,0.594443662,0.148056,0.15,0.779036827,0.518411387 +2020/04/21 15:00,0.267465958,0.504638173,0.11055,0.15,0.782436261,0.543067034 +2020/04/21 16:00,0.275879909,0.320066622,0.19139,0.15,0.775070822,0.524701561 +2020/04/21 17:00,0.269004597,0.073558638,0.354596,0.483333333,0.761473088,0.529660239 +2020/04/21 18:00,0.256985421,0.000243491,0.368738,1.005,0.742776204,0.562809917 +2020/04/21 19:00,0.250346675,0,0.331818,0.468333333,0.754107649,0.571533517 +2020/04/21 20:00,0.25030917,0,0.195122,0.15,0.754107649,0.57056933 +2020/04/21 21:00,0.210768069,0,0.094986,0.15,0.752407932,0.579338843 +2020/04/21 22:00,0.208124976,0,0,0.15,0.76713881,0.611111111 +2020/04/21 23:00,0.186349867,0,0,0.3,0.753541076,0.558126722 +2020/04/22 00:00,0.175127899,0,0,0.15,0.752407932,0.514554637 +2020/04/22 01:00,0.16154364,0,0,0.06,0.635127479,0.560284665 +2020/04/22 02:00,0.168738701,0,0,0.065,0.534844193,0.57543618 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16:00,0.192928511,0.313673282,0.29172,0.226666667,0.7898017,0.637786961 +2020/04/22 17:00,0.191187926,0.076222952,0.424596,0.708333333,0.77223796,0.643939394 +2020/04/22 18:00,0.227460861,0.000216437,0.525092,1.005,0.773371105,0.657208448 +2020/04/22 19:00,0.27151931,0,0.34087,0.388333333,0.750141643,0.677456382 +2020/04/22 20:00,0.263511655,0,0.200142,0.15,0.747875354,0.687970615 +2020/04/22 21:00,0.245029715,0,0.178418,0.15,0.750708215,0.641919192 +2020/04/22 22:00,0.243012174,0,0.00239,0.15,0.763172805,0.634894399 +2020/04/22 23:00,0.236937435,0,0,0.15,0.745609065,0.617217631 +2020/04/23 00:00,0.232487883,0,0,0.15,0.750141643,0.5859045 +2020/04/23 01:00,0.206667596,0,0,0.15,0.643626062,0.61134068 +2020/04/23 02:00,0.188009674,0,0,0.15,0.620396601,0.612809917 +2020/04/23 03:00,0.196065892,0,0,0.07,0.624362606,0.588383838 +2020/04/23 04:00,0.200654883,0,0,0.018333333,0.632294618,0.592929293 +2020/04/23 05:00,0.186695099,0,0,0.298333333,0.732577904,0.595224977 +2020/04/23 06:00,0.137417298,0.001426003,0,0.493333333,0.828328612,0.601010101 +2020/04/23 07:00,0.123598877,0.102735896,0,0.503333333,0.836260623,0.649219467 +2020/04/23 08:00,0.110865677,0.348216933,0,0.3,0.860056657,0.650550964 +2020/04/23 09:00,0.084008251,0.535716581,0.054776,0.15,0.881586402,0.648301194 +2020/04/23 10:00,0.077455091,0.592202075,0.153768,0.15,0.873087819,0.624655647 +2020/04/23 11:00,0.083861599,0.577969665,0.134988,0.15,0.881586402,0.588200184 +2020/04/23 12:00,0.096609705,0.60064311,0.154048,0.15,0.84815864,0.62144169 +2020/04/23 13:00,0.103979786,0.54675993,0.166626,0.15,0.798866856,0.623829201 +2020/04/23 14:00,0.095680752,0.400306619,0.231862,0.15,0.797167139,0.609687787 +2020/04/23 15:00,0.101718468,0.26776839,0.175538,0.15,0.796033994,0.600964187 +2020/04/23 16:00,0.141727892,0.167268444,0.171132,0.183333333,0.826628895,0.6 +2020/04/23 17:00,0.155104916,0.021805444,0.173874,0.78,0.793767705,0.608861341 +2020/04/23 18:00,0.172296803,2.76E-05,0.179204,1.005,0.779036827,0.618870523 +2020/04/23 19:00,0.185673828,0,0.181248,0.301666667,0.769971671,0.623415978 +2020/04/23 20:00,0.17851579,0,0.079406,0.15,0.764305949,0.625114784 +2020/04/23 21:00,0.170937993,0,0,0.15,0.761473088,0.635215794 +2020/04/23 22:00,0.149537447,0,0,0.15,0.769405099,0.62892562 +2020/04/23 23:00,0.148820537,0,0,0.15,0.753541076,0.599311295 +2020/04/24 00:00,0.148468092,0,0,0.15,0.756373938,0.622956841 +2020/04/24 01:00,0.138234219,0,0,0.15,0.622096317,0.624701561 +2020/04/24 02:00,0.133326922,0,0,0.15,0.55184136,0.643939394 +2020/04/24 03:00,0.115321479,0,0,0.15,0.545042493,0.663406795 +2020/04/24 04:00,0.120934627,0,0,0.15,0.711048159,0.694903581 +2020/04/24 05:00,0.150965015,0,0,0.158333333,0.761473088,0.687878788 +2020/04/24 06:00,0.182482113,0.001122202,0,0.33,0.74674221,0.700688705 +2020/04/24 07:00,0.192130342,0.041470756,0,0.503333333,0.768271955,0.749219467 +2020/04/24 08:00,0.191669231,0.182471438,0,0.298333333,0.750141643,0.769467401 +2020/04/24 09:00,0.168314613,0.356432513,0.027816,0.15,0.76203966,0.332644628 +2020/04/24 10:00,0.150583721,0.435041343,0.136216,0.15,0.782436261,0.457805326 +2020/04/24 11:00,0.113907855,0.456599913,0.102106,0.15,0.799433428,0.6271809 +2020/04/24 12:00,0.119868158,0.463117254,0.114562,0.15,0.798300283,0.652387511 +2020/04/24 13:00,0.156421414,0.448849334,0.087552,0.15,0.790934844,0.655509642 +2020/04/24 14:00,0.186239758,0.396370175,0.105784,0.15,0.786968839,0.653810836 +2020/04/24 15:00,0.233742355,0.32087826,0.098814,0.15,0.765439093,0.67231405 +2020/04/24 16:00,0.226154941,0.182982093,0.128374,0.16,0.754674221,0.750918274 +2020/04/24 17:00,0.210032408,0.045377891,0.227154,0.213333333,0.76203966,0.620477502 +2020/04/24 18:00,0.210922414,0.000334237,0.180168,0.993333333,0.752974504,0.746786042 +2020/04/24 19:00,0.213474632,0,0.130394,0.96,0.769971671,0.761662075 +2020/04/24 20:00,0.190435916,0,0,0.6,0.738810198,0.762396694 +2020/04/24 21:00,0.169811421,0,0,0.268333333,0.736543909,0.750642792 +2020/04/24 22:00,0.150257241,0,0,0.15,0.737110482,0.696097337 +2020/04/24 23:00,0.148759953,0,0,0.15,0.585835694,0.688613407 +2020/04/25 00:00,0.145575932,0,0,0.15,0.593201133,0.690633609 +2020/04/25 01:00,0.163197677,0,0,0.15,0.595467422,0.698025712 +2020/04/25 02:00,0.180440532,0,0,0.15,0.598300283,0.700642792 +2020/04/25 03:00,0.156633458,0,0,0.15,0.598300283,0.699219467 +2020/04/25 04:00,0.160860869,0,0,0.03,0.594334278,0.695087236 +2020/04/25 05:00,0.172456918,0,0,0,0.602832861,0.692194674 +2020/04/25 06:00,0.159608801,0.001150948,0,0.138333333,0.652691218,0.596097337 +2020/04/25 07:00,0.153118148,0.066094387,0,0.361666667,0.642492918,0.629017447 +2020/04/25 08:00,0.136600858,0.262983671,0,0.343333333,0.796600567,0.756565657 +2020/04/25 09:00,0.124592261,0.42513485,0,0.22,0.825495751,0.756290174 +2020/04/25 10:00,0.125419279,0.509838856,0,0.15,0.830594901,0.748209366 +2020/04/25 11:00,0.096707793,0.50092042,0.027444,0.15,0.827195467,0.745087236 +2020/04/25 12:00,0.082534042,0.566491188,0.148424,0.15,0.822096317,0.739669421 +2020/04/25 13:00,0.077960919,0.635905399,0.286138,0.15,0.826628895,0.745546373 +2020/04/25 14:00,0.079705831,0.563518,0.373356,0.15,0.771671388,0.743663912 +2020/04/25 15:00,0.111825884,0.432176937,0.422226,0.15,0.699150142,0.748989899 +2020/04/25 16:00,0.156039158,0.29263664,0.414716,0.15,0.688951841,0.741873278 +2020/04/25 17:00,0.196421222,0.062134833,0.334968,0.55,0.662889518,0.745592287 +2020/04/25 18:00,0.227995057,0.000193328,0.36649,1.005,0.670254958,0.754269972 +2020/04/25 19:00,0.275307728,0,0.372904,0.77,0.628895184,0.75523416 +2020/04/25 20:00,0.330839135,0,0.370468,0.318333333,0.623229462,0.752387511 +2020/04/25 21:00,0.327755126,0,0.214008,0.15,0.628328612,0.741230487 +2020/04/25 22:00,0.293010251,0,0.002126,0.15,0.624362606,0.703213958 +2020/04/25 23:00,0.319603223,0,0,0.15,0.607932011,0.693709826 +2020/04/26 00:00,0.330259261,0,0,0.15,0.6101983,0.693663912 +2020/04/26 01:00,0.320383121,0,0,0.15,0.613597734,0.698852158 +2020/04/26 02:00,0.315290707,0,0,0.15,0.617563739,0.699770432 +2020/04/26 03:00,0.306481036,0,0,0.15,0.5898017,0.699494949 +2020/04/26 04:00,0.300412548,0,0,0.15,0.539376771,0.694949495 +2020/04/26 05:00,0.299465323,0,0,0.15,0.571671388,0.69338843 +2020/04/26 06:00,0.284609763,0.000742874,0,0.15,0.594334278,0.707024793 +2020/04/26 07:00,0.249828826,0.102695314,0,0.49,0.634560907,0.756795225 +2020/04/26 08:00,0.211914356,0.423101246,0.0072,0.303333333,0.734844193,0.761570248 +2020/04/26 09:00,0.179486575,0.605653284,0.079438,0.15,0.78470255,0.751698806 +2020/04/26 10:00,0.162451918,0.713687373,0.345832,0.15,0.783002833,0.746051423 +2020/04/26 11:00,0.18519733,0.745075781,0.369972,0.15,0.779036827,0.737419651 +2020/04/26 12:00,0.195547563,0.720188931,0.581434,0.15,0.775637394,0.688613407 +2020/04/26 13:00,0.195110013,0.634951161,0.527328,0.15,0.778470255,0.669788797 +2020/04/26 14:00,0.217944859,0.583474712,0.509554,0.15,0.7898017,0.669421488 +2020/04/26 15:00,0.220445148,0.408105671,0.348646,0.15,0.788668555,0.707943067 +2020/04/26 16:00,0.221602493,0.321856735,0.41147,0.15,0.776203966,0.748989899 +2020/04/26 17:00,0.251954072,0.062060997,0.57611,0.446666667,0.780169972,0.757162534 +2020/04/26 18:00,0.247558853,3.38E-05,0.631436,1.005,0.781869688,0.772681359 +2020/04/26 19:00,0.297249202,0,0.537086,0.953333333,0.763172805,0.765748393 +2020/04/26 20:00,0.302371908,0,0.237028,0.346666667,0.761473088,0.758126722 +2020/04/26 21:00,0.353809093,0,0.18857,0.15,0.754107649,0.757621671 +2020/04/26 22:00,0.430304458,0,0.015238,0.15,0.754107649,0.758494031 +2020/04/26 23:00,0.433071604,0,0,0.15,0.745609065,0.760422406 +2020/04/27 00:00,0.440320999,0,0,0.15,0.769405099,0.749632691 +2020/04/27 01:00,0.538839578,0,0,0.15,0.681586402,0.699632691 +2020/04/27 02:00,0.457253722,0,0,0.15,0.649858357,0.686730946 +2020/04/27 03:00,0.442468843,0,0,0.15,0.765439093,0.687741047 +2020/04/27 04:00,0.458109109,0,0,0.15,0.763739377,0.679935721 +2020/04/27 05:00,0.387934185,0,0,0.15,0.779603399,0.698714417 +2020/04/27 06:00,0.360950302,0.00027731,0,0.15,0.769405099,0.751928375 +2020/04/27 07:00,0.348945071,0.034036941,0,0.448333333,0.766005666,0.720523416 +2020/04/27 08:00,0.356815209,0.125267869,0,0.326666667,0.793201133,0.760192837 +2020/04/27 09:00,0.404093742,0.230706971,0,0.18,0.807365439,0.757943067 +2020/04/27 10:00,0.415538331,0.292972568,0.03745,0.15,0.82266289,0.769834711 +2020/04/27 11:00,0.427778205,0.345520491,0.047922,0.15,0.82266289,0.749724518 +2020/04/27 12:00,0.415664788,0.327539891,0,0.15,0.816430595,0.755463728 +2020/04/27 13:00,0.398652248,0.240726754,0,0.15,0.819263456,0.715656566 +2020/04/27 14:00,0.354049506,0.19569381,0,0.15,0.822096317,0.716069789 +2020/04/27 15:00,0.372590587,0.284600296,0.002558,0.15,0.814164306,0.738613407 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06:00,0.465762876,6.71E-05,0,0.468333333,0.777903683,0.662258953 +2020/04/28 07:00,0.504111051,0.062906453,0,0.496666667,0.783002833,0.644444444 +2020/04/28 08:00,0.460323787,0.287715521,0.000186,0.3,0.791501416,0.702066116 +2020/04/28 09:00,0.400306766,0.429382986,0.092502,0.16,0.801133144,0.714279155 +2020/04/28 10:00,0.421184656,0.537311111,0.26683,0.15,0.800566572,0.653305785 +2020/04/28 11:00,0.404559661,0.557412115,0.439692,0.15,0.803399433,0.676905418 +2020/04/28 12:00,0.385543524,0.559788974,0.455688,0.15,0.807365439,0.652846648 +2020/04/28 13:00,0.36719333,0.548158878,0.587374,0.15,0.815864023,0.681588613 +2020/04/28 14:00,0.337234104,0.50314397,0.582896,0.15,0.823796034,0.687465565 +2020/04/28 15:00,0.315375332,0.422135735,0.596494,0.15,0.831161473,0.692975207 +2020/04/28 16:00,0.282491249,0.283433003,0.622976,0.406666667,0.826062323,0.683976125 +2020/04/28 17:00,0.264145382,0.064669511,0.619534,0.91,0.803966006,0.65835629 +2020/04/28 18:00,0.276405931,5.58E-05,0.538812,0.888333333,0.788668555,0.679981635 +2020/04/28 19:00,0.308458187,0,0.468548,0.21,0.77223796,0.674747475 +2020/04/28 20:00,0.299217217,0,0.394112,0.15,0.766005666,0.664003673 +2020/04/28 21:00,0.299262896,0,0.321038,0.15,0.769971671,0.65348944 +2020/04/28 22:00,0.318395873,0,0.01769,0.15,0.779603399,0.608677686 +2020/04/28 23:00,0.296700581,0,0,0.15,0.710481586,0.592011019 +2020/04/29 00:00,0.272632419,0,0,0.15,0.628328612,0.594903581 +2020/04/29 01:00,0.233147094,0,0,0.15,0.631728045,0.5184573 +2020/04/29 02:00,0.259498211,0,0,0.15,0.635127479,0.596786042 +2020/04/29 03:00,0.279243759,0,0,0.15,0.63286119,0.652846648 +2020/04/29 04:00,0.229689483,0,0,0.15,0.638526912,0.593617998 +2020/04/29 05:00,0.207666269,0,0,0.15,0.645325779,0.581359045 +2020/04/29 06:00,0.211634035,0.000244619,0,0.34,0.663456091,0.592929293 +2020/04/29 07:00,0.191589414,0.093384023,0,0.498333333,0.651558074,0.61446281 +2020/04/29 08:00,0.154364446,0.399014762,0.03106,0.3,0.739376771,0.656519743 +2020/04/29 09:00,0.114693042,0.575689188,0.386572,0.425,0.76713881,0.654407713 +2020/04/29 10:00,0.115989826,0.673498329,0.584224,0.6,0.775637394,0.651285583 +2020/04/29 11:00,0.102441147,0.736495528,0.67887,0.6,0.776203966,0.56184573 +2020/04/29 12:00,0.092891968,0.749520626,0.64523,0.6,0.774504249,0.60174472 +2020/04/29 13:00,0.074335981,0.731999391,0.618434,0.6,0.780169972,0.634894399 +2020/04/29 14:00,0.057426338,0.706894414,0.6322,0.6,0.783569405,0.631450872 +2020/04/29 15:00,0.047296323,0.598542997,0.650972,0.6,0.780736544,0.60922865 +2020/04/29 16:00,0.058727449,0.402451259,0.710282,0.6,0.692351275,0.629476584 +2020/04/29 17:00,0.062282667,0.082320946,0.666672,0.763333333,0.671388102,0.620752984 +2020/04/29 18:00,0.063854483,6.48E-05,0.658262,1.005,0.691784703,0.576262626 +2020/04/29 19:00,0.036016656,0,0.669288,0.836666667,0.633427762,0.602112029 +2020/04/29 20:00,0.046178405,0,0.665038,0.6,0.626628895,0.632231405 +2020/04/29 21:00,0.067678482,0,0.532306,0.6,0.720113314,0.610284665 +2020/04/29 22:00,0.048190657,0,0.072398,0.6,0.754674221,0.571212121 +2020/04/29 23:00,0.052158422,0,0.07223,0.6,0.749575071,0.542240588 +2020/04/30 00:00,0.077044947,0,0.056536,0.6,0.757507082,0.546326905 +2020/04/30 01:00,0.086563834,0,0,0.6,0.76203966,0.558448118 +2020/04/30 02:00,0.096416413,0,0,0.6,0.76713881,0.554637282 +2020/04/30 03:00,0.098022368,0,0,0.6,0.766005666,0.539393939 +2020/04/30 04:00,0.096456322,0,0,0.6,0.763172805,0.55087236 +2020/04/30 05:00,0.112388929,0,0,0.6,0.779603399,0.558310376 +2020/04/30 06:00,0.114622841,0.000962129,0,0.603333333,0.769405099,0.530348944 +2020/04/30 07:00,0.149132592,0.123922466,0,0.793333333,0.767705382,0.551836547 +2020/04/30 08:00,0.137900527,0.503384643,0.092948,0.6,0.785269122,0.584848485 +2020/04/30 09:00,0.080440051,0.678485957,0.458826,0.6,0.802266289,0.528650138 +2020/04/30 10:00,0.058792361,0.761146213,0.621422,0.6,0.811898017,0.51795225 +2020/04/30 11:00,0.064853637,0.807414088,0.646338,0.6,0.814164306,0.495224977 +2020/04/30 12:00,0.054213467,0.812928717,0.676924,0.6,0.802266289,0.520064279 +2020/04/30 13:00,0.050823653,0.795470045,0.691884,0.6,0.808498584,0.539439853 +2020/04/30 14:00,0.062189387,0.747330331,0.699944,0.6,0.813031161,0.561248852 +2020/04/30 15:00,0.060471401,0.649308699,0.635158,0.6,0.816997167,0.561937557 +2020/04/30 16:00,0.053727834,0.42173668,0.686534,0.6,0.814164306,0.562121212 +2020/04/30 17:00,0.041997634,0.07311111,0.686418,0.793333333,0.785835694,0.563957759 +2020/04/30 18:00,0.046791938,3.78E-05,0.665288,0.993333333,0.774504249,0.566391185 +2020/04/30 19:00,0.068537716,0,0.688002,0.613333333,0.76713881,0.576354454 +2020/04/30 20:00,0.076487191,0,0.677388,0.6,0.759206799,0.578236915 +2020/04/30 21:00,0.049227315,0,0.504164,0.6,0.743342776,0.55661157 +2020/04/30 22:00,0.036860022,0,0.078868,0.6,0.763172805,0.53328742 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01:00,0.183303843,0,0,0.6,0.741643059,0.507529844 +2020/05/02 02:00,0.240258972,0,0,0.6,0.603966006,0.514279155 +2020/05/02 03:00,0.336512867,0,0,0.6,0.558640227,0.514921947 +2020/05/02 04:00,0.376467958,0,0,0.6,0.555240793,0.462993572 +2020/05/02 05:00,0.407184002,0,0,0.6,0.705949008,0.468732782 +2020/05/02 06:00,0.437742336,0.000836438,0,0.6,0.781869688,0.476538108 +2020/05/02 07:00,0.444223853,0.121187697,0,0.803333333,0.79490085,0.513682277 +2020/05/02 08:00,0.418734373,0.500343819,0.074242,0.603333333,0.8101983,0.541827365 +2020/05/02 09:00,0.359234719,0.688250413,0.483334,0.6,0.830594901,0.55661157 +2020/05/02 10:00,0.349403297,0.768040063,0.512834,0.6,0.838526912,0.599035813 +2020/05/02 11:00,0.381692599,0.803206534,0.49956,0.6,0.84305949,0.618181818 +2020/05/02 12:00,0.431667596,0.80872849,0.491338,0.6,0.845892351,0.601928375 +2020/05/02 13:00,0.423050256,0.790283453,0.603016,0.178333333,0.84815864,0.596602388 +2020/05/02 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04:00,0.221676059,0,0,0.6,0.716713881,0.585261708 +2020/05/03 05:00,0.26415596,0,0,0.6,0.741076487,0.546648301 +2020/05/03 06:00,0.268455976,0.000781202,0,0.6,0.742776204,0.587144169 +2020/05/03 07:00,0.186361888,0.116271087,0,0.6,0.749008499,0.62107438 +2020/05/03 08:00,0.166202831,0.479528686,0.1085,0.6,0.763739377,0.615197429 +2020/05/03 09:00,0.125908759,0.659248446,0.475164,0.6,0.767705382,0.634435262 +2020/05/03 10:00,0.157121014,0.733915759,0.476588,0.6,0.764872521,0.629247016 +2020/05/03 11:00,0.15703687,0.774685349,0.482136,0.6,0.761473088,0.598989899 +2020/05/03 12:00,0.18658451,0.773273437,0.586474,0.6,0.764872521,0.614325069 +2020/05/03 13:00,0.222763684,0.76413631,0.64775,0.6,0.776770538,0.585078053 +2020/05/03 14:00,0.254214429,0.718708256,0.657008,0.6,0.790368272,0.606014692 +2020/05/03 15:00,0.285771916,0.621786844,0.69713,0.6,0.786402266,0.671120294 +2020/05/03 16:00,0.276466035,0.388590286,0.75957,0.6,0.781869688,0.593939394 +2020/05/03 17:00,0.280214544,0.067918318,0.701754,0.713333333,0.770538244,0.627134986 +2020/05/03 18:00,0.296829923,8.45E-06,0.675356,0.92,0.767705382,0.662580349 +2020/05/03 19:00,0.295675943,0,0.690336,0.986666667,0.759773371,0.616069789 +2020/05/03 20:00,0.241265338,0,0.6898,0.6,0.765439093,0.639439853 +2020/05/03 21:00,0.202631554,0,0.616416,0.6,0.756373938,0.633011938 +2020/05/03 22:00,0.196147632,0,0.08721,0.6,0.757507082,0.621028466 +2020/05/03 23:00,0.176800689,0,0.076516,0.6,0.750141643,0.586225895 +2020/05/04 00:00,0.204212986,0,0.01985,0.6,0.631728045,0.544306703 +2020/05/04 01:00,0.273387314,0,0,0.6,0.609631728,0.558034894 +2020/05/04 02:00,0.324267223,0,0,0.6,0.613597734,0.580348944 +2020/05/04 03:00,0.345538428,0,0,0.6,0.615864023,0.537098255 +2020/05/04 04:00,0.379362523,0,0,0.6,0.612464589,0.557988981 +2020/05/04 05:00,0.365253683,0,0,0.6,0.633994334,0.562993572 +2020/05/04 06:00,0.304198081,0.000773874,0,0.6,0.633427762,0.58815427 +2020/05/04 07:00,0.274929319,0.096687502,0,0.6,0.644192635,0.622956841 +2020/05/04 08:00,0.242220737,0.464459838,0.043872,0.6,0.650991501,0.620936639 +2020/05/04 09:00,0.214230007,0.6545308,0.289118,0.6,0.641359773,0.604453627 +2020/05/04 10:00,0.216280244,0.733810922,0.421504,0.6,0.648725212,0.613544536 +2020/05/04 11:00,0.191009059,0.777563846,0.43775,0.6,0.671388102,0.588337925 +2020/05/04 12:00,0.184020752,0.777911047,0.444748,0.6,0.678186969,0.589164371 +2020/05/04 13:00,0.170280225,0.763201235,0.607468,0.6,0.688385269,0.612672176 +2020/05/04 14:00,0.167970824,0.713171645,0.617168,0.6,0.694617564,0.580394858 +2020/05/04 15:00,0.181044447,0.603537953,0.621444,0.6,0.652124646,0.59825528 +2020/05/04 16:00,0.213685714,0.392316494,0.576732,0.6,0.640793201,0.598393021 +2020/05/04 17:00,0.233751971,0.069938958,0.679462,0.816666667,0.595467422,0.58292011 +2020/05/04 18:00,0.232507597,1.01E-05,0.662904,0.973333333,0.644192635,0.584113866 +2020/05/04 19:00,0.224419645,0,0.649982,0.6,0.642492918,0.597842057 +2020/05/04 20:00,0.18636285,0,0.666912,0.6,0.597167139,0.604683196 +2020/05/04 21:00,0.146409682,0,0.552962,0.6,0.57733711,0.585445363 +2020/05/04 22:00,0.106865696,0,0.07335,0.6,0.603399433,0.575206612 +2020/05/04 23:00,0.099461476,0,0.001504,0.6,0.568271955,0.540587695 +2020/05/05 00:00,0.116108589,0,0,0.6,0.601133144,0.510146924 +2020/05/05 01:00,0.197478074,0,0,0.6,0.620963173,0.506382002 +2020/05/05 02:00,0.240819614,0,0,0.6,0.563739377,0.531359045 +2020/05/05 03:00,0.227669058,0,0,0.6,0.503116147,0.526078972 +2020/05/05 04:00,0.236380159,0,0,0.6,0.623796034,0.496740129 +2020/05/05 05:00,0.233464438,0,0,0.606666667,0.628328612,0.513682277 +2020/05/05 06:00,0.222561257,0.000507837,0,0.803333333,0.645892351,0.575114784 +2020/05/05 07:00,0.185938281,0.111255841,0,0.803333333,0.65325779,0.583425161 +2020/05/05 08:00,0.165228199,0.47810212,0.091134,0.67,0.666288952,0.549540863 +2020/05/05 09:00,0.161974459,0.673047419,0.47056,0.595,0.678753541,0.574655647 +2020/05/05 10:00,0.174834596,0.750385246,0.510578,0.15,0.684419263,0.567217631 +2020/05/05 11:00,0.193364619,0.775998061,0.50491,0.15,0.679886686,0.540679522 +2020/05/05 12:00,0.191646151,0.784633551,0.583986,0.15,0.68611898,0.545041322 +2020/05/05 13:00,0.192686175,0.747470677,0.630448,0.15,0.692917847,0.560146924 +2020/05/05 14:00,0.243248259,0.686244991,0.641866,0.15,0.687252125,0.578512397 +2020/05/05 15:00,0.229565911,0.620974078,0.66376,0.15,0.687252125,0.571579431 +2020/05/05 16:00,0.216100896,0.376574099,0.743288,0.15,0.672521246,0.563865932 +2020/05/05 17:00,0.223866215,0.06395651,0.70623,0.338333333,0.652124646,0.560927456 +2020/05/05 18:00,0.259658326,8.45E-06,0.68808,0.976666667,0.640793201,0.572865014 +2020/05/05 19:00,0.249921145,0,0.695272,0.575,0.633427762,0.583562902 +2020/05/05 20:00,0.252013213,0,0.692392,0.15,0.631728045,0.583379247 +2020/05/05 21:00,0.24754539,0,0.557222,0.15,0.623796034,0.558172635 +2020/05/05 22:00,0.240792688,0,0.077808,0.15,0.546175637,0.555050505 +2020/05/05 23:00,0.243908432,0,0.078026,0.15,0.553541076,0.533333333 +2020/05/06 00:00,0.216003289,0,0.02185,0.15,0.535410765,0.490955005 +2020/05/06 01:00,0.21418481,0,0,0.15,0.544475921,0.48030303 +2020/05/06 02:00,0.210916163,0,0,0.15,0.552407932,0.511983471 +2020/05/06 03:00,0.206760395,0,0,0.15,0.557507082,0.51134068 +2020/05/06 04:00,0.211058968,0,0,0.15,0.550708215,0.500091827 +2020/05/06 05:00,0.217150056,0,0,0.15,0.556373938,0.490266299 +2020/05/06 06:00,0.22754789,0.000568147,0,0.15,0.579036827,0.546602388 +2020/05/06 07:00,0.226812228,0.108000834,0,0.15,0.648725212,0.500688705 +2020/05/06 08:00,0.212296611,0.481625981,0.142684,0.15,0.645892351,0.396740129 +2020/05/06 09:00,0.173015156,0.674630113,0.494658,0.15,0.64815864,0.393342516 +2020/05/06 10:00,0.146695292,0.752848342,0.510662,0.15,0.669121813,0.380257117 +2020/05/06 11:00,0.126082817,0.781336835,0.508124,0.15,0.679886686,0.36932966 +2020/05/06 12:00,0.100276474,0.783498385,0.50547,0.15,0.675354108,0.378650138 +2020/05/06 13:00,0.074544178,0.761249359,0.57733,0.15,0.680453258,0.551056015 +2020/05/06 14:00,0.055080394,0.702281041,0.636628,0.15,0.681586402,0.514003673 +2020/05/06 15:00,0.052118033,0.610359657,0.66074,0.15,0.679320113,0.56584022 +2020/05/06 16:00,0.071741451,0.391701002,0.73361,0.206666667,0.670254958,0.57144169 +2020/05/06 17:00,0.113326057,0.062314634,0.705624,0.933333333,0.645892351,0.386685032 +2020/05/06 18:00,0.160996942,0,0.679408,1.005,0.648725212,0.342837466 +2020/05/06 19:00,0.190544582,0,0.692162,0.626666667,0.623796034,0.524288338 +2020/05/06 20:00,0.209379928,0,0.68251,0.291666667,0.593201133,0.571258035 +2020/05/06 21:00,0.192585202,0,0.567158,0.15,0.606232295,0.498714417 +2020/05/06 22:00,0.218991614,0,0.081912,0.15,0.538243626,0.508861341 +2020/05/06 23:00,0.206084356,0,0.079738,0.15,0.55184136,0.514921947 +2020/05/07 00:00,0.192119764,0,0.010098,0.15,0.564872521,0.468411387 +2020/05/07 01:00,0.1926655,0,0,0.15,0.569971671,0.461753903 +2020/05/07 02:00,0.15985306,0,0,0.15,0.565439093,0.460009183 +2020/05/07 03:00,0.135863273,0,0,0.15,0.566572238,0.467033976 +2020/05/07 04:00,0.144246452,0,0,0.15,0.555807365,0.457300275 +2020/05/07 05:00,0.167812151,0,0,0.15,0.555240793,0.457070707 +2020/05/07 06:00,0.15740999,0.00041991,0,0.15,0.582436261,0.481359045 +2020/05/07 07:00,0.192348156,0.10209955,0,0.15,0.635127479,0.525252525 +2020/05/07 08:00,0.223295957,0.456443786,0.140626,0.15,0.652691218,0.512396694 +2020/05/07 09:00,0.162889468,0.63128639,0.490488,0.15,0.674787535,0.507575758 +2020/05/07 10:00,0.113813132,0.713424718,0.513056,0.15,0.666288952,0.496648301 +2020/05/07 11:00,0.105298688,0.743933288,0.512002,0.15,0.660056657,0.441414141 +2020/05/07 12:00,0.055948282,0.746877166,0.517418,0.15,0.667988669,0.434618916 +2020/05/07 13:00,0.041114359,0.726469544,0.635502,0.15,0.678753541,0.474426079 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03:00,0.251122726,0,0,0.15,0.571104816,0.447887971 +2020/05/08 04:00,0.204543313,0,0,0.15,0.571104816,0.40661157 +2020/05/08 05:00,0.202165634,0,0,0.15,0.575070822,0.432782369 +2020/05/08 06:00,0.231824826,0.000479092,0,0.15,0.578470255,0.456290174 +2020/05/08 07:00,0.199055179,0.077677701,0,0.481666667,0.658923513,0.480394858 +2020/05/08 08:00,0.154385121,0.374817241,0.042302,0.316666667,0.657790368,0.483149679 +2020/05/08 09:00,0.118698792,0.550414555,0.172368,0.153333333,0.662322946,0.488521579 +2020/05/08 10:00,0.104911624,0.665533567,0.29811,0.15,0.672521246,0.497842057 +2020/05/08 11:00,0.085341097,0.724062248,0.227948,0.15,0.674787535,0.42543618 +2020/05/08 12:00,0.071335635,0.704714264,0.3715,0.15,0.669688385,0.411662075 +2020/05/08 13:00,0.059318383,0.665586549,0.42,0.15,0.674787535,0.437373737 +2020/05/08 14:00,0.063115456,0.603020533,0.473828,0.15,0.674220963,0.43989899 +2020/05/08 15:00,0.072968516,0.504983683,0.569372,0.15,0.674220963,0.420936639 +2020/05/08 16:00,0.083688983,0.300760347,0.64188,0.15,0.665155807,0.524747475 +2020/05/08 17:00,0.071502481,0.044428725,0.653252,0.603333333,0.631161473,0.535491276 +2020/05/08 18:00,0.085176655,0,0.630146,1.005,0.624362606,0.47681359 +2020/05/08 19:00,0.116274955,0,0.465566,0.628333333,0.603966006,0.436455464 +2020/05/08 20:00,0.157962457,0,0.377458,0.168333333,0.607365439,0.464784206 +2020/05/08 21:00,0.176938685,0,0.181258,0.15,0.601699717,0.460284665 +2020/05/08 22:00,0.163055353,0,0.00416,0.15,0.521813031,0.425206612 +2020/05/08 23:00,0.140238778,0,0,0.15,0.538243626,0.451101928 +2020/05/09 00:00,0.130660268,0,0,0.15,0.547875354,0.459044995 +2020/05/09 01:00,0.116099454,0,0,0.15,0.558073654,0.441184573 +2020/05/09 02:00,0.115554199,0,0,0.15,0.565439093,0.444903581 +2020/05/09 03:00,0.119337808,0,0,0.15,0.566572238,0.465518825 +2020/05/09 04:00,0.109043351,0,0,0.15,0.552974504,0.461432507 +2020/05/09 05:00,0.11903008,0,0,0.15,0.545609065,0.452846648 +2020/05/09 06:00,0.15453033,0.000386655,0,0.15,0.609065156,0.450642792 +2020/05/09 07:00,0.196710197,0.095725373,0,0.478333333,0.649291785,0.44775023 +2020/05/09 08:00,0.184971343,0.45687835,0.03822,0.31,0.666288952,0.45610652 +2020/05/09 09:00,0.142048121,0.653768762,0.43645,0.155,0.688951841,0.507116621 +2020/05/09 10:00,0.109014982,0.721749643,0.585982,0.15,0.694050992,0.533746556 +2020/05/09 11:00,0.084847771,0.752594705,0.497906,0.15,0.688951841,0.545592287 +2020/05/09 12:00,0.062258145,0.756074039,0.469862,0.15,0.690084986,0.523783287 +2020/05/09 13:00,0.049149421,0.732879229,0.468922,0.15,0.694050992,0.465013774 +2020/05/09 14:00,0.047280936,0.685004425,0.490396,0.15,0.701416431,0.470156107 +2020/05/09 15:00,0.055076066,0.576384716,0.53388,0.15,0.69631728,0.491873278 +2020/05/09 16:00,0.072682906,0.357567115,0.696292,0.15,0.682152975,0.497291093 +2020/05/09 17:00,0.124736027,0.051136575,0.664976,0.516666667,0.636260623,0.519834711 +2020/05/09 18:00,0.153797554,0,0.65128,1,0.608498584,0.582736455 +2020/05/09 19:00,0.162663961,0,0.647226,0.45,0.608498584,0.598760331 +2020/05/09 20:00,0.146351502,0,0.649264,0.15,0.609631728,0.566391185 +2020/05/09 21:00,0.102470958,0,0.513088,0.15,0.535410765,0.565105601 +2020/05/09 22:00,0.057750894,0,0.075964,0.15,0.532011331,0.593663912 +2020/05/09 23:00,0.079123553,0,0.029818,0.15,0.304249292,0.570936639 +2020/05/10 00:00,0.118972381,0,0,0.15,0.261189802,0.543204775 +2020/05/10 01:00,0.151600665,0,0,0.15,0.282152975,0.558677686 +2020/05/10 02:00,0.188901123,0,0,0.15,0.278186969,0.57405877 +2020/05/10 03:00,0.214574759,0,0,0.15,0.277053824,0.586914601 +2020/05/10 04:00,0.270642286,0,0,0.15,0.278753541,0.588751148 +2020/05/10 05:00,0.325883275,0,0,0.15,0.278186969,0.590955005 +2020/05/10 06:00,0.299614379,0.000474019,0,0.426666667,0.381303116,0.620431589 +2020/05/10 07:00,0.282080625,0.093765606,0,0.496666667,0.515014164,0.663544536 +2020/05/10 08:00,0.261068585,0.452959942,0.107894,0.298333333,0.520679887,0.662534435 +2020/05/10 09:00,0.201997346,0.647847187,0.447866,0.15,0.519546742,0.675022957 +2020/05/10 10:00,0.169899892,0.721400752,0.48543,0.15,0.52407932,0.677089073 +2020/05/10 11:00,0.15127707,0.753179197,0.471494,0.15,0.524645892,0.673507805 +2020/05/10 12:00,0.156861369,0.758787954,0.456992,0.15,0.552974504,0.673278237 +2020/05/10 13:00,0.161008482,0.740665881,0.46247,0.15,0.641359773,0.709182736 +2020/05/10 14:00,0.15615071,0.694668553,0.532888,0.15,0.644759207,0.693617998 +2020/05/10 15:00,0.134729488,0.597507031,0.622488,0.15,0.647025496,0.690036731 +2020/05/10 16:00,0.102463746,0.363788546,0.732192,0.15,0.639660057,0.701101928 +2020/05/10 17:00,0.072203523,0.049010534,0.672176,0.386666667,0.626628895,0.69825528 +2020/05/10 18:00,0.054607743,0,0.668334,1.005,0.607365439,0.699770432 +2020/05/10 19:00,0.047878601,0,0.668048,0.76,0.607932011,0.697474747 +2020/05/10 20:00,0.054198561,0,0.657072,0.231666667,0.603399433,0.69825528 +2020/05/10 21:00,0.069473401,0,0.492036,0.15,0.535977337,0.694811754 +2020/05/10 22:00,0.071546717,0,0.076986,0.15,0.533144476,0.676951331 +2020/05/10 23:00,0.102762338,0,0.019314,0.15,0.545042493,0.644995409 +2020/05/11 00:00,0.138828038,0,0,0.15,0.570538244,0.60137741 +2020/05/11 01:00,0.157443167,0,0,0.15,0.575637394,0.596923783 +2020/05/11 02:00,0.206770493,0,0,0.15,0.559206799,0.599081726 +2020/05/11 03:00,0.245275416,0,0,0.15,0.495750708,0.596464646 +2020/05/11 04:00,0.265588818,0,0,0.15,0.529745042,0.596051423 +2020/05/11 05:00,0.265759992,0,0,0.15,0.580736544,0.596740129 +2020/05/11 06:00,0.303397027,0.000507274,0,0.15,0.635694051,0.598025712 +2020/05/11 07:00,0.295402835,0.085898354,0,0.48,0.656657224,0.643617998 +2020/05/11 08:00,0.228079682,0.42790851,0.046504,0.316666667,0.657223796,0.665794307 +2020/05/11 09:00,0.193726199,0.632018555,0.306634,0.126666667,0.665155807,0.671166208 +2020/05/11 10:00,0.234473689,0.709261128,0.36712,0,0.668555241,0.674701561 +2020/05/11 11:00,0.313037562,0.749632227,0.38488,0,0.668555241,0.662167126 +2020/05/11 12:00,0.355692003,0.756960641,0.369314,0,0.667422096,0.643663912 +2020/05/11 13:00,0.309217891,0.736177636,0.33317,0,0.674220963,0.640909091 +2020/05/11 14:00,0.338685714,0.674940114,0.414246,0,0.675354108,0.644444444 +2020/05/11 15:00,0.308772647,0.570826123,0.472488,0,0.662322946,0.643663912 +2020/05/11 16:00,0.274255683,0.329959587,0.563382,0,0.652691218,0.639577594 +2020/05/11 17:00,0.260969535,0.040506372,0.634758,0.236666667,0.631161473,0.640633609 +2020/05/11 18:00,0.263774666,0,0.63937,0.79,0.629461756,0.642240588 +2020/05/11 19:00,0.227183906,0,0.640182,0.243333333,0.618696884,0.636455464 +2020/05/11 20:00,0.205913182,0,0.598864,0,0.617563739,0.641505969 +2020/05/11 21:00,0.203390295,0,0.326142,0,0.535410765,0.640082645 +2020/05/11 22:00,0.220423991,0,0,0,0.543342776,0.613498623 +2020/05/11 23:00,0.219024791,0,0,0,0.535977337,0.560881543 +2020/05/12 00:00,0.207434992,0,0,0,0.543342776,0.551423324 +2020/05/12 01:00,0.177435377,0,0,0,0.554674221,0.536730946 +2020/05/12 02:00,0.171874639,0,0,0,0.56713881,0.54862259 +2020/05/12 03:00,0.164256933,0,0,0,0.578470255,0.545546373 +2020/05/12 04:00,0.167421722,0,0,0,0.573371105,0.54426079 +2020/05/12 05:00,0.173674847,0,0,0,0.572804533,0.54389348 +2020/05/12 06:00,0.170876447,0.000464437,0,0,0.645325779,0.535169881 +2020/05/12 07:00,0.160432454,0.080793489,0,0.338333333,0.661756374,0.572268136 +2020/05/12 08:00,0.138885256,0.39317435,0.030182,0.15,0.658923513,0.581450872 +2020/05/12 09:00,0.106768089,0.597843523,0.240638,0,0.664022663,0.565656566 +2020/05/12 10:00,0.125573624,0.691733129,0.195486,0,0.666855524,0.548943985 +2020/05/12 11:00,0.183420683,0.707283324,0.18144,0,0.663456091,0.566483012 +2020/05/12 12:00,0.274289822,0.691272073,0.205358,0,0.666855524,0.541138659 +2020/05/12 13:00,0.279284148,0.658759208,0.170304,0,0.67082153,0.542837466 +2020/05/12 14:00,0.316494692,0.583077912,0.216254,0,0.660623229,0.54862259 +2020/05/12 15:00,0.379948167,0.471454579,0.256238,0,0.659490085,0.546235078 +2020/05/12 16:00,0.443640612,0.232453119,0.389634,0,0.640793201,0.546831956 +2020/05/12 17:00,0.407938897,0.028737621,0.55134,0.48,0.631728045,0.54389348 +2020/05/12 18:00,0.440512367,0,0.562114,1.005,0.628328612,0.542699725 +2020/05/12 19:00,0.491963015,0,0.55287,0.351666667,0.624362606,0.525160698 +2020/05/12 20:00,0.50779513,0,0.44513,0,0.62266289,0.523278237 +2020/05/12 21:00,0.532396046,0,0.159974,0,0.534844193,0.537695133 +2020/05/12 22:00,0.508750529,0,0,0,0.542209632,0.531404959 +2020/05/12 23:00,0.406753183,0,0,0,0.503116147,0.455876951 +2020/05/13 00:00,0.270545159,0,0,0,0.49631728,0.447796143 +2020/05/13 01:00,0.248406066,0,0,0,0.495184136,0.466528926 +2020/05/13 02:00,0.247677617,0,0,0,0.461189802,0.432460973 +2020/05/13 03:00,0.376719429,0,0,0,0.399433428,0.462121212 +2020/05/13 04:00,0.384426088,0,0,0,0.470254958,0.459274564 +2020/05/13 05:00,0.376689618,0,0,0,0.556373938,0.424977043 +2020/05/13 06:00,0.401249183,0.000392855,0,0,0.639093484,0.456932966 +2020/05/13 07:00,0.361649421,0.062592507,0,0.325,0.652124646,0.50610652 +2020/05/13 08:00,0.334434742,0.365703222,0.017992,0.163333333,0.64305949,0.465472911 +2020/05/13 09:00,0.346141863,0.602189168,0.203266,0.013333333,0.635694051,0.510192837 +2020/05/13 10:00,0.373086318,0.728333493,0.406988,0,0.63286119,0.511707989 +2020/05/13 11:00,0.420756722,0.770202177,0.396864,0,0.634560907,0.474288338 +2020/05/13 12:00,0.460746913,0.783622385,0.385696,0,0.633427762,0.473232323 +2020/05/13 13:00,0.514887295,0.767072298,0.402894,0,0.636260623,0.481864096 +2020/05/13 14:00,0.50806343,0.722471099,0.423318,0,0.634560907,0.499311295 +2020/05/13 15:00,0.511107532,0.616262633,0.605982,0,0.629461756,0.497291093 +2020/05/13 16:00,0.468286725,0.367464026,0.695424,0,0.641359773,0.474885216 +2020/05/13 17:00,0.43036937,0.046922821,0.668832,0.47,0.631728045,0.4859045 +2020/05/13 18:00,0.410935877,0,0.661112,0.998333333,0.630594901,0.50573921 +2020/05/13 19:00,0.375918375,0,0.658284,0.335,0.623796034,0.474517906 +2020/05/13 20:00,0.287913028,0,0.646818,0,0.620396601,0.470339761 +2020/05/13 21:00,0.275748163,0,0.44492,0,0.52917847,0.499724518 +2020/05/13 22:00,0.2469684,0,0.017296,0,0.538243626,0.475803489 +2020/05/13 23:00,0.213678501,0,0,0,0.555240793,0.403627181 +2020/05/14 00:00,0.195801439,0,0,0,0.561473088,0.390358127 +2020/05/14 01:00,0.198037274,0,0,0,0.563172805,0.395913682 +2020/05/14 02:00,0.178943724,0,0,0,0.576203966,0.393067034 +2020/05/14 03:00,0.166793765,0,0,0,0.44305949,0.37594123 +2020/05/14 04:00,0.163223641,0,0,0,0.174504249,0.393434343 +2020/05/14 05:00,0.134962207,0,0,0,0.266855524,0.410606061 +2020/05/14 06:00,0.139990191,0.000303801,0,0.003333333,0.267988669,0.382460973 +2020/05/14 07:00,0.190311382,0.087122011,0,0.343333333,0.272521246,0.434710744 +2020/05/14 08:00,0.220762492,0.447215913,0.071218,0.145,0.364305949,0.490358127 +2020/05/14 09:00,0.142962169,0.662461179,0.32173,0,0.380736544,0.492056933 +2020/05/14 10:00,0.109537639,0.745251636,0.379096,0,0.369971671,0.47369146 +2020/05/14 11:00,0.107284014,0.7771135,0.398474,0,0.373371105,0.490128558 +2020/05/14 12:00,0.087346617,0.778369284,0.41091,0,0.371104816,0.491597796 +2020/05/14 13:00,0.072350656,0.757128605,0.411516,0,0.370538244,0.492837466 +2020/05/14 14:00,0.066928396,0.713635518,0.546872,0,0.593767705,0.49426079 +2020/05/14 15:00,0.081917625,0.609290437,0.634832,0,0.566572238,0.498393021 +2020/05/14 16:00,0.109860272,0.359298046,0.696554,0.075,0.524645892,0.489485767 +2020/05/14 17:00,0.144026234,0.042570412,0.678726,0.755,0.614730878,0.507667585 +2020/05/14 18:00,0.200994346,0,0.673924,0.85,0.656657224,0.51795225 +2020/05/14 19:00,0.241173501,0,0.678542,0.128333333,0.608498584,0.490817264 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10:00,0.542503943,0.688576195,0.358628,0,0.637393768,0.481955923 +2020/05/15 11:00,0.565946552,0.723323883,0.362604,0,0.652691218,0.504499541 +2020/05/15 12:00,0.638003904,0.736808346,0.483806,0,0.652124646,0.503764922 +2020/05/15 13:00,0.653834577,0.728245566,0.57876,0,0.654390935,0.479889807 +2020/05/15 14:00,0.601994942,0.692470367,0.602772,0,0.654957507,0.493709826 +2020/05/15 15:00,0.602440185,0.602831151,0.609054,0,0.64305949,0.514554637 +2020/05/15 16:00,0.587431723,0.352339377,0.781788,0,0.647025496,0.493204775 +2020/05/15 17:00,0.513666962,0.042712449,0.753346,0.6,0.646458924,0.488567493 +2020/05/15 18:00,0.4807021,0,0.700484,0.755,0.63796034,0.512947658 +2020/05/15 19:00,0.489106435,0,0.675004,0.108333333,0.614164306,0.50573921 +2020/05/15 20:00,0.490590741,0,0.667796,0,0.620396601,0.465656566 +2020/05/15 21:00,0.505901642,0,0.413468,0,0.528045326,0.469559229 +2020/05/15 22:00,0.414719006,0,0.009148,0,0.527478754,0.495913682 +2020/05/15 23:00,0.417647229,0,0,0,0.542209632,0.463314968 +2020/05/16 00:00,0.409982883,0,0,0,0.536543909,0.402892562 +2020/05/16 01:00,0.360662288,0,0,0,0.539376771,0.434802571 +2020/05/16 02:00,0.317904951,0,0,0,0.545609065,0.448209366 +2020/05/16 03:00,0.277729161,0,0,0,0.546175637,0.433471074 +2020/05/16 04:00,0.232435473,0,0,0,0.543342776,0.427043159 +2020/05/16 05:00,0.181082433,0,0,0,0.575637394,0.436730946 +2020/05/16 06:00,0.144011328,0.000380455,0,0.491666667,0.639093484,0.38503214 +2020/05/16 07:00,0.159371274,0.078952085,0,0.346666667,0.64305949,0.395179063 +2020/05/16 08:00,0.138997288,0.422356681,0.069256,0.148333333,0.650991501,0.440266299 +2020/05/16 09:00,0.086344097,0.641909266,0.367966,0,0.647025496,0.4771809 +2020/05/16 10:00,0.086257068,0.722184208,0.487862,0,0.634560907,0.481450872 +2020/05/16 11:00,0.084431858,0.750958466,0.505648,0,0.637393768,0.453535354 +2020/05/16 12:00,0.066205716,0.756716586,0.521324,0,0.645892351,0.451882461 +2020/05/16 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20:00,0.191562488,0,0.40017,0,0.636827195,0.393342516 +2020/05/29 21:00,0.164053064,0,0.254116,0,0.635127479,0.41184573 +2020/05/29 22:00,0.144834019,0,0.000012,0,0.630594901,0.400780533 +2020/05/29 23:00,0.132416721,0,0,0,0.623796034,0.337190083 +2020/05/30 00:00,0.131686348,0,0,0,0.62266289,0.32768595 +2020/05/30 01:00,0.13022416,0,0,0,0.618696884,0.329614325 +2020/05/30 02:00,0.121573162,0,0,0,0.615864023,0.340220386 +2020/05/30 03:00,0.129020656,0,0,0,0.613031161,0.343617998 +2020/05/30 04:00,0.136197446,0,0,0,0.614730878,0.344077135 +2020/05/30 05:00,0.149249913,0,0,0.156666667,0.618696884,0.343526171 +2020/05/30 06:00,0.148774378,8.85E-05,0,0.336666667,0.628328612,0.359825528 +2020/05/30 07:00,0.150851541,0.050624792,0,0.15,0.666288952,0.410560147 +2020/05/30 08:00,0.14416375,0.363683709,0.013016,0.145,0.65325779,0.406932966 +2020/05/30 09:00,0.146126476,0.599895163,0.247168,0,0.649858357,0.406703398 +2020/05/30 10:00,0.135167039,0.689071069,0.410108,0,0.658923513,0.413728191 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00:00,0.305173193,0,0,0,0.620396601,0.34302112 +2020/05/31 01:00,0.33860782,0,0,0,0.416430595,0.328099174 +2020/05/31 02:00,0.215308978,0,0,0,0.411898017,0.345821855 +2020/05/31 03:00,0.137266319,0,0,0,0.353541076,0.356152433 +2020/05/31 04:00,0.161446032,0,0,0,0.353541076,0.355555556 +2020/05/31 05:00,0.346098107,0,0,0.153333333,0.303116147,0.352525253 +2020/05/31 06:00,0.411941763,9.47E-05,0,0.343333333,0.403966006,0.361202938 +2020/05/31 07:00,0.421702985,0.049141862,0,0.15,0.413031161,0.416574839 +2020/05/31 08:00,0.407391718,0.362759907,0.011934,0.145,0.410764873,0.424012856 +2020/05/31 09:00,0.390702773,0.61152075,0.250828,0,0.396600567,0.418089991 +2020/05/31 10:00,0.33263165,0.693120804,0.444714,0,0.390934844,0.417493113 +2020/05/31 11:00,0.309032773,0.724522176,0.464088,0,0.390368272,0.418870523 +2020/05/31 12:00,0.31539745,0.729064531,0.448616,0,0.394334278,0.429981635 +2020/05/31 13:00,0.344748433,0.712281097,0.562438,0,0.409065156,0.416391185 +2020/05/31 14:00,0.334650152,0.665736477,0.65734,0,0.431161473,0.388797062 +2020/05/31 15:00,0.265937416,0.559259155,0.760122,0,0.424362606,0.414921947 +2020/05/31 16:00,0.200815479,0.305581702,0.83707,0,0.483286119,0.409044995 +2020/05/31 17:00,0.14583702,0.027071509,0.748796,0.556666667,0.390934844,0.421854913 +2020/05/31 18:00,0.139479555,0,0.653358,0.72,0.37733711,0.422451791 +2020/05/31 19:00,0.141240335,0,0.61009,0.026666667,0.377903683,0.422635445 +2020/05/31 20:00,0.141808189,0,0.534434,0,0.373937677,0.412167126 +2020/05/31 21:00,0.177945532,0,0.436284,0,0.363172805,0.397015611 +2020/05/31 22:00,0.225371197,0,0,0,0.393767705,0.402479339 +2020/05/31 23:00,0.259097204,0,0,0,0.449291785,0.348071625 +2020/06/01 00:00,0.309245298,0,0,0,0.462322946,0.332001837 +2020/06/01 01:00,0.354771704,0,0,0,0.464589235,0.334481175 +2020/06/01 02:00,0.33238114,0,0,0,0.466855524,0.341597796 +2020/06/01 03:00,0.250076932,0,0,0,0.540509915,0.332966024 +2020/06/01 04:00,0.220861061,0,0,0,0.588668555,0.33328742 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21:00,0.134621783,0,0.51365,0,0.641926346,0.369880624 +2020/06/13 22:00,0.139510328,0,0.002454,0,0.64815864,0.292286501 +2020/06/13 23:00,0.170783167,0,0,0,0.634560907,0.223599633 +2020/06/14 00:00,0.21517002,0,0,0,0.641926346,0.216758494 +2020/06/14 01:00,0.205891064,0,0,0,0.647592068,0.278879706 +2020/06/14 02:00,0.226131861,0,0,0,0.632294618,0.295224977 +2020/06/14 03:00,0.257344597,0,0,0,0.478186969,0.260651974 +2020/06/14 04:00,0.280227045,0,0,0.003333333,0.190934844,0.224839302 +2020/06/14 05:00,0.272070816,0,0,0.15,0.028895184,0.223737374 +2020/06/14 06:00,0.312798592,3.04E-05,0,0.323333333,0.031728045,0.309733701 +2020/06/14 07:00,0.375024041,0.033212903,0,0.346666667,0.037393768,0.371120294 +2020/06/14 08:00,0.421345732,0.31943873,0.00005,0.15,0.047592068,0.351974288 +2020/06/14 09:00,0.390137804,0.588734014,0.260906,0.003333333,0.07082153,0.297520661 +2020/06/14 10:00,0.357152748,0.686291209,0.417222,0,0.07082153,0.286593205 +2020/06/14 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01:00,0.129281263,0,0,0,0.640226629,0.364554637 +2020/06/15 02:00,0.11062286,0,0,0,0.64305949,0.375849403 +2020/06/15 03:00,0.120850483,0,0,0,0.64305949,0.332690542 +2020/06/15 04:00,0.091492768,0,0,0.005,0.640793201,0.290679522 +2020/06/15 05:00,0.067901585,0,0,0.15,0.64305949,0.298668503 +2020/06/15 06:00,0.069809978,3.78E-05,0,0.353333333,0.717280453,0.382185491 +2020/06/15 07:00,0.121819345,0.032979557,0,0.346666667,0.679320113,0.370752984 +2020/06/15 08:00,0.108119206,0.316707906,0.005326,0.15,0.64815864,0.293342516 +2020/06/15 09:00,0.089883929,0.585355007,0.299614,0,0.679886686,0.287327824 +2020/06/15 10:00,0.097903123,0.66868261,0.389702,0,0.66572238,0.365059688 +2020/06/15 11:00,0.093337212,0.70236615,0.419134,0,0.674220963,0.379981635 +2020/06/15 12:00,0.113016887,0.711439587,0.418302,0,0.689518414,0.32456382 +2020/06/15 13:00,0.127284879,0.695782301,0.423002,0,0.666288952,0.28067034 +2020/06/15 14:00,0.134312613,0.660748285,0.49295,0,0.67592068,0.325619835 +2020/06/15 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00:00,0.45366148,0,0,0,0.617563739,0.245821855 +2020/07/26 01:00,0.46549073,0,0,0,0.491784703,0.251056015 +2020/07/26 02:00,0.311159461,0,0,0,0.458356941,0.255601469 +2020/07/26 03:00,0.30324749,0,0,0,0.458923513,0.306244261 +2020/07/26 04:00,0.308635131,0,0,0,0.460056657,0.314876033 +2020/07/26 05:00,0.469685925,0,0,0.021666667,0.468555241,0.280945822 +2020/07/26 06:00,0.517010136,7.44E-05,0,0.353333333,0.655524079,0.291000918 +2020/07/26 07:00,0.501990614,0.044125477,0.0498,0.353333333,0.555240793,0.298347107 +2020/07/26 08:00,0.438781879,0.350661728,0.12581,0.151666667,0.544475921,0.354637282 +2020/07/26 09:00,0.374559565,0.605610217,0.26001,0,0.534844193,0.371303949 +2020/07/26 10:00,0.388133727,0.711121217,0.370934,0,0.533711048,0.337235996 +2020/07/26 11:00,0.474722083,0.749773177,0.442234,0,0.540509915,0.327456382 +2020/07/26 12:00,0.474520618,0.756510068,0.438918,0,0.539376771,0.322865014 +2020/07/26 13:00,0.477418548,0.740213539,0.490518,0,0.579036827,0.32855831 +2020/07/26 14:00,0.441886083,0.708216339,0.642062,0,0.66572238,0.321808999 +2020/07/26 15:00,0.408712063,0.621229309,0.660564,0,0.669121813,0.314233242 +2020/07/26 16:00,0.447212659,0.398804425,0.696266,0,0.664022663,0.320752984 +2020/07/26 17:00,0.418768993,0.071112177,0.600134,0.283333333,0.665155807,0.331313131 +2020/07/26 18:00,0.423849867,3.75E-05,0.483566,1.005,0.666855524,0.338567493 +2020/07/26 19:00,0.414002577,0,0.465864,0.171666667,0.664589235,0.346235078 +2020/07/26 20:00,0.389942109,0,0.448522,0,0.654390935,0.370431589 +2020/07/26 21:00,0.402137747,0,0.350388,0,0.647025496,0.369651056 +2020/07/26 22:00,0.372711274,0,0.00023,0,0.635127479,0.316988062 +2020/07/26 23:00,0.312550006,0,0,0,0.635694051,0.28865932 +2020/07/27 00:00,0.314417529,0,0,0,0.625495751,0.283654729 +2020/07/27 01:00,0.304627938,0,0,0,0.624362606,0.307897153 +2020/07/27 02:00,0.308202389,0,0,0,0.626628895,0.301056015 +2020/07/27 03:00,0.319345982,0,0,0,0.627195467,0.304086318 +2020/07/27 04:00,0.338156807,0,0,0,0.62776204,0.307988981 +2020/07/27 05:00,0.328635516,0,0,0.046666667,0.631161473,0.304820937 +2020/07/27 06:00,0.332548467,5.02E-05,0,0.353333333,0.63286119,0.293526171 +2020/07/27 07:00,0.320579778,0.040714038,0.049588,0.346666667,0.639093484,0.317906336 +2020/07/27 08:00,0.300721237,0.348480589,0.094056,0.15,0.652691218,0.37594123 +2020/07/27 09:00,0.233167769,0.617986539,0.250482,0.023333333,0.674787535,0.380165289 +2020/07/27 10:00,0.179467342,0.712151428,0.245052,0,0.700849858,0.374885216 +2020/07/27 11:00,0.171422664,0.75295366,0.239828,0,0.692351275,0.3728191 +2020/07/27 12:00,0.156029542,0.760315072,0.237152,0,0.686685552,0.339348026 +2020/07/27 13:00,0.125378409,0.741481322,0.357872,0,0.695184136,0.307805326 +2020/07/27 14:00,0.115924914,0.693696912,0.443176,0,0.704249292,0.351101928 +2020/07/27 15:00,0.134206351,0.602109481,0.468758,0,0.632294618,0.390312213 +2020/07/27 16:00,0.161270531,0.392137538,0.579468,0,0.664022663,0.360514233 +2020/07/27 17:00,0.222122264,0.07124116,0.496456,0.358333333,0.656657224,0.310009183 +2020/07/27 18:00,0.331848386,3.42E-05,0.459412,0.816666667,0.677620397,0.301606979 +2020/07/27 19:00,0.404025945,0,0.461914,0.166666667,0.667988669,0.349219467 +2020/07/27 20:00,0.412609628,0,0.456014,0,0.656657224,0.39426079 +2020/07/27 21:00,0.334956437,0,0.39579,0,0.646458924,0.362993572 +2020/07/27 22:00,0.254921722,0,0.003456,0,0.635694051,0.265059688 +2020/07/27 23:00,0.246243797,0,0,0,0.63286119,0.239577594 +2020/07/28 00:00,0.272480479,0,0,0,0.633427762,0.316666667 +2020/07/28 01:00,0.29116725,0,0,0,0.637393768,0.324609734 +2020/07/28 02:00,0.301161673,0,0,0,0.63286119,0.236639118 +2020/07/28 03:00,0.337917356,0,0,0,0.630594901,0.230853994 +2020/07/28 04:00,0.346752029,0,0,0,0.627195467,0.27943067 +2020/07/28 05:00,0.358780821,0,0,0.128333333,0.629461756,0.316620753 +2020/07/28 06:00,0.410513232,2.43E-05,0,0.353333333,0.626628895,0.27979798 +2020/07/28 07:00,0.422902162,0.039635319,0.076726,0.346666667,0.645892351,0.258861341 +2020/07/28 08:00,0.427929184,0.340882708,0.158576,0.148333333,0.654957507,0.312672176 +2020/07/28 09:00,0.378622053,0.60240493,0.235628,0,0.666288952,0.387649219 +2020/07/28 10:00,0.338495788,0.701631582,0.21222,0,0.679886686,0.354040404 +2020/07/28 11:00,0.420824999,0.739241204,0.146142,0,0.678186969,0.283516988 +2020/07/28 12:00,0.4925376,0.754717532,0.17991,0,0.680453258,0.281450872 +2020/07/28 13:00,0.463703023,0.736206241,0.263584,0,0.683286119,0.326033058 +2020/07/28 14:00,0.4245687,0.691987058,0.400338,0,0.684419263,0.366528926 +2020/07/28 15:00,0.405510251,0.592966007,0.372422,0,0.682719547,0.355004591 +2020/07/28 16:00,0.484958361,0.398101632,0.482384,0,0.672521246,0.312442608 +2020/07/28 17:00,0.44798294,0.071375104,0.521526,0.338333333,0.652691218,0.314554637 +2020/07/28 18:00,0.41259905,4.13E-05,0.54096,0.871666667,0.657790368,0.314233242 +2020/07/28 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03:00,0.086527292,0,0,0,0.632294618,0.271533517 +2020/07/31 04:00,0.093408374,0,0,0,0.630028329,0.270982553 +2020/07/31 05:00,0.103350867,0,0,0.15,0.636827195,0.266804408 +2020/07/31 06:00,0.115760472,6.78E-05,0,0.353333333,0.70368272,0.252112029 +2020/07/31 07:00,0.146294765,0.052339612,0.014794,0.353333333,0.726345609,0.235720845 +2020/07/31 08:00,0.162149479,0.395379756,0.146912,0.156666667,0.687252125,0.288751148 +2020/07/31 09:00,0.149712948,0.641075632,0.312686,0.003333333,0.66572238,0.357346189 +2020/07/31 10:00,0.107388833,0.724228995,0.269862,0,0.674220963,0.359320478 +2020/07/31 11:00,0.081329576,0.756659997,0.298824,0,0.664022663,0.325849403 +2020/07/31 12:00,0.08705716,0.765413766,0.502766,0,0.661756374,0.280991736 +2020/07/31 13:00,0.083684656,0.754475551,0.611666,0,0.658923513,0.278604224 +2020/07/31 14:00,0.085242047,0.718894383,0.632416,0,0.663456091,0.276859504 +2020/07/31 15:00,0.070365811,0.635733302,0.645542,0,0.656090652,0.280991736 +2020/07/31 16:00,0.058941897,0.43371422,0.765422,0,0.692917847,0.283654729 +2020/07/31 17:00,0.052415183,0.088748698,0.712768,0.11,0.657223796,0.287327824 +2020/07/31 18:00,0.062284591,9.04E-05,0.688624,0.928333333,0.662322946,0.289118457 +2020/07/31 19:00,0.090775859,0,0.701198,0.288333333,0.682719547,0.290128558 +2020/07/31 20:00,0.096151479,0,0.696464,0,0.660623229,0.291092746 +2020/07/31 21:00,0.0908701,0,0.545372,0,0.664589235,0.292929293 +2020/07/31 22:00,0.085745471,0,0.009116,0,0.645325779,0.236363636 +2020/07/31 23:00,0.089528599,0,0.00205,0,0.636260623,0.234205693 +2020/08/01 00:00,0.065337827,0,0,0,0.619263456,0.308815427 +2020/08/01 01:00,0.060551698,0,0,0,0.623229462,0.282966024 +2020/08/01 02:00,0.089209332,0,0,0,0.620963173,0.232231405 +2020/08/01 03:00,0.121229373,0,0,0,0.620963173,0.233425161 +2020/08/01 04:00,0.16765973,0,0,0,0.62266289,0.232277319 +2020/08/01 05:00,0.175515925,0,0,0.335,0.630028329,0.230486685 +2020/08/01 06:00,0.180376582,7.55E-05,0,0.353333333,0.63286119,0.262258953 +2020/08/01 07:00,0.1843982,0.053977257,0,0.353333333,0.650424929,0.311019284 +2020/08/01 08:00,0.209307805,0.393973619,0.029034,0,0.652691218,0.285307622 +2020/08/01 09:00,0.169332519,0.640096682,0.35046,0,0.654390935,0.29214876 +2020/08/01 10:00,0.133036023,0.726908979,0.365598,0,0.654390935,0.290863177 +2020/08/01 11:00,0.126337654,0.761816017,0.371356,0,0.652691218,0.283103765 +2020/08/01 12:00,0.135992615,0.769609578,0.376376,0,0.652691218,0.345179063 +2020/08/01 13:00,0.188029869,0.756518887,0.57846,0,0.658923513,0.358585859 +2020/08/01 14:00,0.163089491,0.715571136,0.600932,0,0.654390935,0.324977043 +2020/08/01 15:00,0.156043005,0.628361417,0.595694,0,0.656657224,0.345546373 +2020/08/01 16:00,0.15067027,0.421805875,0.692102,0,0.658923513,0.34862259 +2020/08/01 17:00,0.154837577,0.083744261,0.701586,0.153333333,0.664022663,0.357438017 +2020/08/01 18:00,0.193305478,8.27E-05,0.691724,0.87,0.645892351,0.362626263 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09:00,0.54490422,0.628117231,0.38235,0,0.559206799,0.386914601 +2020/08/02 10:00,0.54444407,0.718171746,0.34916,0,0.62266289,0.382231405 +2020/08/02 11:00,0.555749702,0.758191259,0.350198,0,0.601133144,0.376033058 +2020/08/02 12:00,0.565207524,0.768133988,0.347278,0,0.640793201,0.360606061 +2020/08/02 13:00,0.560251664,0.753629995,0.346854,0,0.659490085,0.359687787 +2020/08/02 14:00,0.561571047,0.705801487,0.401958,0,0.66572238,0.325803489 +2020/08/02 15:00,0.521237547,0.617897795,0.415706,0,0.664022663,0.337098255 +2020/08/02 16:00,0.472711274,0.409296711,0.4967,0,0.660056657,0.338567493 +2020/08/02 17:00,0.381518541,0.079295994,0.478338,0.161666667,0.669688385,0.336730946 +2020/08/02 18:00,0.380289553,9.04E-05,0.481596,0.998333333,0.660623229,0.331221304 +2020/08/02 19:00,0.36480315,0,0.48675,0.288333333,0.656090652,0.338475666 +2020/08/02 20:00,0.304201446,0,0.485942,0,0.644759207,0.34389348 +2020/08/02 21:00,0.289018925,0,0.39613,0,0.63796034,0.343755739 +2020/08/02 22:00,0.303733123,0,0.003292,0,0.632294618,0.308861341 +2020/08/02 23:00,0.306791649,0,0,0,0.626628895,0.278191001 +2020/08/03 00:00,0.301368427,0,0,0,0.62266289,0.268135904 +2020/08/03 01:00,0.290504193,0,0,0,0.623796034,0.273783287 +2020/08/03 02:00,0.321584702,0,0,0,0.621529745,0.283884298 +2020/08/03 03:00,0.358106705,0,0,0,0.617563739,0.279843893 +2020/08/03 04:00,0.44117879,0,0,0,0.622096317,0.281634527 +2020/08/03 05:00,0.470303304,0,0,0.01,0.628895184,0.288337925 +2020/08/03 06:00,0.46902383,0.000147724,0,0.603333333,0.698016997,0.291368228 +2020/08/03 07:00,0.46944984,0.050225169,0,0.351666667,0.724645892,0.302984389 +2020/08/03 08:00,0.464461765,0.366436261,0.017004,0,0.704815864,0.359779614 +2020/08/03 09:00,0.423605128,0.608429106,0.253174,0,0.661756374,0.382598714 +2020/08/03 10:00,0.40829663,0.708807236,0.338942,0,0.691784703,0.377364555 +2020/08/03 11:00,0.436832134,0.751125296,0.341384,0,0.681586402,0.362167126 +2020/08/03 12:00,0.485549775,0.757279557,0.330248,0,0.673654391,0.355968779 +2020/08/03 13:00,0.569850848,0.726206186,0.330124,0,0.661756374,0.352525253 +2020/08/03 14:00,0.642328923,0.690591945,0.402174,0,0.661756374,0.360606061 +2020/08/03 15:00,0.642728488,0.617142085,0.41194,0,0.667988669,0.361111111 +2020/08/03 16:00,0.609957399,0.414327606,0.538864,0,0.655524079,0.366896235 +2020/08/03 17:00,0.523054102,0.084135069,0.497376,0.123333333,0.639093484,0.370752984 +2020/08/03 18:00,0.485865196,0.000114652,0.486348,1.005,0.640226629,0.372956841 +2020/08/03 19:00,0.508214409,0,0.49753,0.238333333,0.654390935,0.363820018 +2020/08/03 20:00,0.464435319,0,0.492638,0,0.643626062,0.365381084 +2020/08/03 21:00,0.404280302,0,0.39532,0,0.64815864,0.366253444 +2020/08/03 22:00,0.367693388,0,0.000246,0,0.69121813,0.333562902 +2020/08/03 23:00,0.351226103,0,0,0,0.626628895,0.287786961 +2020/08/04 00:00,0.368685329,0,0,0,0.621529745,0.298714417 +2020/08/04 01:00,0.416468727,0,0,0,0.624929178,0.3087236 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15:00,0.73665471,0.609513888,0.425024,0,0.656657224,0.397796143 +2020/08/04 16:00,0.756695003,0.407517404,0.498538,0,0.649291785,0.382644628 +2020/08/04 17:00,0.712530773,0.084703366,0.434342,0.123333333,0.652124646,0.375022957 +2020/08/04 18:00,0.599176347,0.000104179,0.42398,1.005,0.656090652,0.389577594 +2020/08/04 19:00,0.562180732,0,0.43041,0.361666667,0.659490085,0.407897153 +2020/08/04 20:00,0.509333769,0,0.42902,0,0.656090652,0.385261708 +2020/08/04 21:00,0.490323884,0,0.39173,0,0.652691218,0.38503214 +2020/08/04 22:00,0.450461111,0,0.077028,0,0.633994334,0.370936639 +2020/08/04 23:00,0.389399738,0,0.06683,0,0.623229462,0.308769513 +2020/08/05 00:00,0.295499481,0,0.000056,0,0.620396601,0.319788797 +2020/08/05 01:00,0.264721891,0,0,0,0.624362606,0.335629017 +2020/08/05 02:00,0.259628034,0,0,0,0.626062323,0.319788797 +2020/08/05 03:00,0.229948648,0,0,0,0.625495751,0.324793388 +2020/08/05 04:00,0.20894959,0,0,0,0.621529745,0.339623508 +2020/08/05 05:00,0.200251471,0,0,0,0.631728045,0.332828283 +2020/08/05 06:00,0.184701119,0.000128432,0,0.486666667,0.655524079,0.320110193 +2020/08/05 07:00,0.175703927,0.059226432,0,0.353333333,0.724645892,0.332644628 +2020/08/05 08:00,0.139141055,0.3907992,0.024338,0,0.69631728,0.400229568 +2020/08/05 09:00,0.101800208,0.622300862,0.364138,0,0.655524079,0.4 +2020/08/05 10:00,0.088305862,0.713374013,0.457922,0,0.650424929,0.40835629 +2020/08/05 11:00,0.085492557,0.752614114,0.441212,0,0.644192635,0.403213958 +2020/08/05 12:00,0.094382525,0.765876782,0.438164,0,0.64305949,0.379063361 +2020/08/05 13:00,0.151413625,0.747305409,0.449856,0,0.641926346,0.372635445 +2020/08/05 14:00,0.249548506,0.706143789,0.480708,0,0.648725212,0.381772268 +2020/08/05 15:00,0.32551304,0.614134683,0.50862,0,0.650424929,0.333241506 +2020/08/05 16:00,0.398796977,0.421534679,0.555574,0,0.657790368,0.343847567 +2020/08/05 17:00,0.382232565,0.091719721,0.509824,0.153333333,0.657223796,0.430945822 +2020/08/05 18:00,0.33840395,0.000214421,0.491146,1.005,0.661189802,0.396464646 +2020/08/05 19:00,0.340756626,0,0.496356,0.321666667,0.708215297,0.372084481 +2020/08/05 20:00,0.350988095,0,0.495454,0,0.655524079,0.38865932 +2020/08/05 21:00,0.361197927,0,0.46166,0,0.650991501,0.400964187 +2020/08/05 22:00,0.370696619,0,0.082162,0,0.632294618,0.356841139 +2020/08/05 23:00,0.340220025,0,0.044414,0,0.625495751,0.29389348 +2020/08/06 00:00,0.378860542,0,0,0,0.629461756,0.301928375 +2020/08/06 01:00,0.379805362,0,0,0,0.630594901,0.306565657 +2020/08/06 02:00,0.396041851,0,0,0,0.625495751,0.307713499 +2020/08/06 03:00,0.419287802,0,0,0,0.626628895,0.243480257 +2020/08/06 04:00,0.408026888,0,0,0,0.62776204,0.24251607 +2020/08/06 05:00,0.455673251,0,0,0,0.640793201,0.28030303 +2020/08/06 06:00,0.481954168,0.000119613,0,0.566666667,0.704815864,0.34302112 +2020/08/06 07:00,0.465045005,0.059880167,0,0.353333333,0.685552408,0.353397612 +2020/08/06 08:00,0.422098223,0.405165942,0.040466,0,0.682152975,0.366253444 +2020/08/06 09:00,0.408522618,0.652539701,0.403376,0,0.664022663,0.366069789 +2020/08/06 10:00,0.444251741,0.71893407,0.410738,0,0.663456091,0.387924702 +2020/08/06 11:00,0.455158768,0.75503999,0.41026,0,0.664022663,0.359320478 +2020/08/06 12:00,0.475464477,0.745701387,0.401506,0,0.662889518,0.335215794 +2020/08/06 13:00,0.484975189,0.726589277,0.443308,0,0.654390935,0.357438017 +2020/08/06 14:00,0.47403787,0.706053941,0.521296,0,0.652124646,0.35922865 +2020/08/06 15:00,0.487230738,0.637875305,0.54404,0,0.654957507,0.335720845 +2020/08/06 16:00,0.479313959,0.461628054,0.57984,0,0.650424929,0.34302112 +2020/08/06 17:00,0.44477007,0.110544651,0.521262,0.086666667,0.644759207,0.353673095 +2020/08/06 18:00,0.454721699,0.00021387,0.49792,1.005,0.652124646,0.359687787 +2020/08/06 19:00,0.519881621,0,0.503036,0.501666667,0.656657224,0.369146006 +2020/08/06 20:00,0.501500654,0,0.502102,0,0.655524079,0.37405877 +2020/08/06 21:00,0.481056949,0,0.463722,0,0.638526912,0.363406795 +2020/08/06 22:00,0.461853291,0,0.088864,0,0.627195467,0.353764922 +2020/08/06 23:00,0.461211871,0,0.077344,0,0.606232295,0.319008264 +2020/08/07 00:00,0.484289533,0,0.004296,0,0.603966006,0.308631772 +2020/08/07 01:00,0.484399642,0,0,0,0.606798867,0.276262626 +2020/08/07 02:00,0.485880102,0,0,0,0.607932011,0.307805326 +2020/08/07 03:00,0.449043159,0,0,0,0.610764873,0.313406795 +2020/08/07 04:00,0.450135112,0,0,0,0.612464589,0.23466483 +2020/08/07 05:00,0.418227584,0,0,0.026666667,0.628328612,0.240266299 +2020/08/07 06:00,0.419993172,5.95E-05,0,0.605,0.680453258,0.338062443 +2020/08/07 07:00,0.419847002,0.07485324,0,0.356666667,0.687252125,0.356198347 +2020/08/07 08:00,0.368814671,0.429590065,0.05965,0,0.651558074,0.347474747 +2020/08/07 09:00,0.281741643,0.662739845,0.42926,0,0.67082153,0.312855831 +2020/08/07 10:00,0.298199311,0.747891345,0.452042,0,0.677053824,0.393572084 +2020/08/07 11:00,0.266635573,0.798110451,0.356864,0,0.671954674,0.369742883 +2020/08/07 12:00,0.2279965,0.81410161,0.410266,0,0.68101983,0.342883379 +2020/08/07 13:00,0.205817979,0.802447373,0.55892,0,0.674220963,0.338292011 +2020/08/07 14:00,0.214092491,0.745172777,0.724738,0,0.651558074,0.344995409 +2020/08/07 15:00,0.227701754,0.656893159,0.755632,0,0.660056657,0.346786042 +2020/08/07 16:00,0.232880717,0.455143618,0.778764,0,0.662889518,0.347566575 +2020/08/07 17:00,0.278408566,0.104576698,0.68259,0.295,0.64815864,0.305050505 +2020/08/07 18:00,0.381529119,0.000303166,0.537588,0.961666667,0.644759207,0.296831956 +2020/08/07 19:00,0.448136804,0,0.515932,0.296666667,0.650424929,0.33728191 +2020/08/07 20:00,0.474392238,0,0.490696,0,0.642492918,0.410835629 +2020/08/07 21:00,0.470828846,0,0.459712,0,0.642492918,0.368365473 +2020/08/07 22:00,0.511524407,0,0.09176,0,0.624362606,0.338200184 +2020/08/07 23:00,0.520962034,0,0.083374,0,0.611331445,0.289164371 +2020/08/08 00:00,0.520065296,0,0.042414,0,0.608498584,0.276629936 +2020/08/08 01:00,0.540685464,0,0,0,0.607932011,0.294674013 +2020/08/08 02:00,0.609154422,0,0,0,0.618130312,0.302846648 +2020/08/08 03:00,0.600038466,0,0,0,0.616997167,0.270385675 +2020/08/08 04:00,0.570392257,0,0,0,0.623796034,0.277043159 +2020/08/08 05:00,0.645748067,0,0,0.013333333,0.630594901,0.297199265 +2020/08/08 06:00,0.674182598,7.55E-05,0,0.686666667,0.629461756,0.282598714 +2020/08/08 07:00,0.676655479,0.056408645,0,0.353333333,0.660056657,0.276124885 +2020/08/08 08:00,0.640183964,0.375848175,0.017854,0,0.659490085,0.345454545 +2020/08/08 09:00,0.662101396,0.603854613,0.223122,0,0.655524079,0.395592287 +2020/08/08 10:00,0.637293245,0.704019976,0.294258,0,0.656090652,0.377869605 +2020/08/08 11:00,0.732696561,0.74450471,0.317032,0,0.657223796,0.367722681 +2020/08/08 12:00,0.821421703,0.759386283,0.4292,0,0.650991501,0.361432507 +2020/08/08 13:00,0.807020041,0.748182936,0.51225,0,0.665155807,0.36882461 +2020/08/08 14:00,0.750840001,0.699746995,0.531666,0,0.663456091,0.375573921 +2020/08/08 15:00,0.691434589,0.61600549,0.537228,0,0.686685552,0.374931129 +2020/08/08 16:00,0.643718025,0.409652241,0.624204,0,0.673087819,0.380440771 +2020/08/08 17:00,0.647922837,0.084280588,0.603688,0.266666667,0.648725212,0.377640037 +2020/08/08 18:00,0.58722593,0.00016867,0.519062,0.988333333,0.662889518,0.375665748 +2020/08/08 19:00,0.573692638,0,0.482836,0.306666667,0.657223796,0.370064279 +2020/08/08 20:00,0.656233892,0,0.47285,0,0.653824363,0.379752066 +2020/08/08 21:00,0.692015425,0,0.292722,0,0.64305949,0.387098255 +2020/08/08 22:00,0.65104339,0,0.000118,0,0.635694051,0.359044995 +2020/08/08 23:00,0.613504443,0,0,0,0.626628895,0.319283747 +2020/08/09 00:00,0.579947686,0,0,0,0.628895184,0.32805326 +2020/08/09 01:00,0.583213448,0,0,0,0.624362606,0.30610652 +2020/08/09 02:00,0.754746221,0,0,0,0.625495751,0.303948577 +2020/08/09 03:00,0.770388891,0,0,0,0.626628895,0.326584022 +2020/08/09 04:00,0.769776801,0,0,0,0.630028329,0.306152433 +2020/08/09 05:00,0.655663153,0,0,0.346666667,0.641359773,0.314692378 +2020/08/09 06:00,0.646970323,0.00019568,0,0.353333333,0.656090652,0.330165289 +2020/08/09 07:00,0.635713736,0.060306804,0,0.345,0.689518414,0.333654729 +2020/08/09 08:00,0.596121187,0.308737784,0.016136,0,0.738810198,0.373370064 +2020/08/09 09:00,0.654433204,0.495596933,0.264586,0,0.737110482,0.401928375 +2020/08/09 10:00,0.703225372,0.652312602,0.229756,0,0.730311615,0.395224977 +2020/08/09 11:00,0.680863657,0.712759413,0.256546,0,0.724645892,0.372222222 +2020/08/09 12:00,0.7337688,0.70745181,0.286196,0,0.718413598,0.359504132 +2020/08/09 13:00,0.811679232,0.676643571,0.27832,0,0.676487252,0.375528007 +2020/08/09 14:00,0.764161249,0.643140465,0.470704,0,0.688385269,0.384527089 +2020/08/09 15:00,0.76456418,0.576941776,0.514176,0,0.690651558,0.380394858 +2020/08/09 16:00,0.739228084,0.402926926,0.5093,0,0.671388102,0.384297521 +2020/08/09 17:00,0.740571989,0.097421439,0.449606,0.21,0.655524079,0.385629017 +2020/08/09 18:00,0.737113417,0.000229303,0.524288,1.003333333,0.656090652,0.385169881 +2020/08/09 19:00,0.681947917,0,0.490484,0.345,0.652691218,0.388613407 +2020/08/09 20:00,0.705012117,0,0.481458,0,0.644759207,0.388292011 +2020/08/09 21:00,0.697363157,0,0.452464,0,0.638526912,0.386822773 +2020/08/09 22:00,0.646766454,0,0.081268,0,0.629461756,0.38117539 +2020/08/09 23:00,0.602894565,0,0.000216,0,0.62266289,0.322543618 +2020/08/10 00:00,0.593885352,0,0,0,0.62266289,0.309504132 +2020/08/10 01:00,0.608747163,0,0,0,0.624362606,0.29687787 +2020/08/10 02:00,0.54778436,0,0,0,0.624929178,0.31184573 +2020/08/10 03:00,0.505545832,0,0,0,0.625495751,0.330394858 +2020/08/10 04:00,0.474124899,0,0,0,0.628895184,0.304683196 +2020/08/10 05:00,0.43979738,0,0,0.345,0.633994334,0.305876951 +2020/08/10 06:00,0.418134785,0.000205601,0,0.351666667,0.655524079,0.338200184 +2020/08/10 07:00,0.412895719,0.083841825,0.004926,0.35,0.716147309,0.326354454 +2020/08/10 08:00,0.402121879,0.431431107,0.12574,0,0.769971671,0.379155188 +2020/08/10 09:00,0.412769262,0.648125059,0.38538,0,0.747875354,0.41671258 +2020/08/10 10:00,0.44231017,0.725065732,0.597252,0,0.748441926,0.409458219 +2020/08/10 11:00,0.446486614,0.767080074,0.614248,0,0.754107649,0.380762167 +2020/08/10 12:00,0.444121918,0.777855131,0.617922,0,0.747308782,0.381634527 +2020/08/10 13:00,0.445863465,0.768704491,0.69316,0,0.749008499,0.39775023 +2020/08/10 14:00,0.408986133,0.733038436,0.724432,0,0.750708215,0.376584022 +2020/08/10 15:00,0.317624149,0.654310739,0.745328,0,0.748441926,0.365381084 +2020/08/10 16:00,0.235233873,0.472573986,0.771076,0,0.684419263,0.36533517 +2020/08/10 17:00,0.195853368,0.121331834,0.686834,0.191666667,0.666855524,0.401147842 +2020/08/10 18:00,0.15625024,0.000383091,0.548336,0.983333333,0.700283286,0.407667585 +2020/08/10 19:00,0.168471843,0,0.514496,0.828333333,0.682152975,0.386317723 +2020/08/10 20:00,0.190090684,0,0.50059,0.006666667,0.649291785,0.392240588 +2020/08/10 21:00,0.194950379,0,0.457582,0,0.643626062,0.401147842 +2020/08/10 22:00,0.234070277,0,0.085146,0,0.622096317,0.403076217 +2020/08/10 23:00,0.293822364,0,0.07931,0,0.616997167,0.327456382 +2020/08/11 00:00,0.384381852,0,0.07884,0,0.620963173,0.315886134 +2020/08/11 01:00,0.481101185,0,0.017158,0,0.62266289,0.342607897 +2020/08/11 02:00,0.498698888,0,0,0,0.626062323,0.338337925 +2020/08/11 03:00,0.487596646,0,0,0,0.626062323,0.319880624 +2020/08/11 04:00,0.573692157,0,0,0,0.623229462,0.315105601 +2020/08/11 05:00,0.637475959,0,0,0.005,0.627195467,0.309641873 +2020/08/11 06:00,0.656258895,0.000233162,0,0.705,0.664022663,0.340266299 +2020/08/11 07:00,0.673687349,0.085902248,0,0.356666667,0.697450425,0.343158861 +2020/08/11 08:00,0.581079548,0.447877565,0.0639,0,0.775070822,0.37979798 +2020/08/11 09:00,0.553438858,0.647665349,0.40359,0,0.755807365,0.401974288 +2020/08/11 10:00,0.540037793,0.725072898,0.426026,0,0.74674221,0.406290174 +2020/08/11 11:00,0.534587645,0.763369879,0.48219,0,0.746175637,0.38640955 +2020/08/11 12:00,0.599137881,0.770988706,0.627922,0,0.750708215,0.369651056 +2020/08/11 13:00,0.668998346,0.761660576,0.701994,0,0.752407932,0.393250689 +2020/08/11 14:00,0.724658614,0.72005909,0.712968,0,0.745609065,0.394077135 +2020/08/11 15:00,0.758300958,0.641991192,0.731924,0,0.736543909,0.379247016 +2020/08/11 16:00,0.752550775,0.456800004,0.764568,0,0.664022663,0.385491276 +2020/08/11 17:00,0.656350252,0.113206996,0.6354,0.361666667,0.679886686,0.401193756 +2020/08/11 18:00,0.593334808,0.000308678,0.41819,0.953333333,0.651558074,0.387695133 +2020/08/11 19:00,0.504290399,0,0.518424,0.275,0.657223796,0.38503214 +2020/08/11 20:00,0.436770589,0,0.502184,0,0.65325779,0.380440771 +2020/08/11 21:00,0.38674799,0,0.378446,0,0.633427762,0.373324151 +2020/08/11 22:00,0.379007193,0,0.096332,0,0.606232295,0.37020202 +2020/08/11 23:00,0.330473228,0,0.082912,0,0.606232295,0.322865014 +2020/08/12 00:00,0.311699427,0,0.077276,0,0.619830028,0.313452709 +2020/08/12 01:00,0.28825778,0,0.006122,0,0.625495751,0.315656566 +2020/08/12 02:00,0.298582048,0,0,0,0.625495751,0.322222222 +2020/08/12 03:00,0.368447321,0,0,0,0.628328612,0.324380165 +2020/08/12 04:00,0.391334096,0,0,0,0.630028329,0.322130395 +2020/08/12 05:00,0.360034331,0,0,0,0.630028329,0.319834711 +2020/08/12 06:00,0.354020656,0.000246942,0,0.668333333,0.669688385,0.337006428 +2020/08/12 07:00,0.361652306,0.078894713,0.031906,0.341666667,0.70878187,0.353764922 +2020/08/12 08:00,0.346327461,0.376123229,0.019678,0,0.750141643,0.353351699 +2020/08/12 09:00,0.312736566,0.577575116,0.308322,0,0.763739377,0.384848485 +2020/08/12 10:00,0.343272781,0.729963785,0.413302,0,0.761473088,0.386685032 +2020/08/12 11:00,0.39058978,0.775151996,0.42125,0,0.754107649,0.361524334 +2020/08/12 12:00,0.398680136,0.786331641,0.606136,0,0.748441926,0.365059688 +2020/08/12 13:00,0.391624995,0.771594486,0.715512,0,0.754107649,0.404545455 +2020/08/12 14:00,0.4256996,0.727939742,0.788834,0,0.753541076,0.392378329 +2020/08/12 15:00,0.487410086,0.651660521,0.79865,0,0.747875354,0.387786961 +2020/08/12 16:00,0.550154345,0.467228901,0.79406,0,0.700283286,0.411478421 +2020/08/12 17:00,0.575146652,0.118482629,0.693648,0.58,0.669121813,0.424609734 +2020/08/12 18:00,0.573116129,0.000303166,0.562334,1.003333333,0.668555241,0.421349862 +2020/08/12 19:00,0.641245624,0,0.525594,0.418333333,0.652124646,0.420615243 +2020/08/12 20:00,0.656135804,0,0.504398,0,0.653824363,0.444903581 +2020/08/12 21:00,0.744307997,0,0.480618,0,0.642492918,0.441597796 +2020/08/12 22:00,0.806796938,0,0.09122,0,0.621529745,0.419054178 +2020/08/12 23:00,0.76092578,0,0.080432,0,0.609065156,0.35697888 +2020/08/13 00:00,0.62135006,0,0.079836,0,0.61529745,0.355050505 +2020/08/13 01:00,0.590789322,0,0.012708,0,0.61529745,0.364049587 +2020/08/13 02:00,0.564403104,0,0,0,0.61529745,0.349816345 +2020/08/13 03:00,0.577519521,0,0,0,0.615864023,0.358494031 +2020/08/13 04:00,0.566778859,0,0,0,0.620396601,0.375528007 +2020/08/13 05:00,0.53757597,0,0,0.006666667,0.633994334,0.369421488 +2020/08/13 06:00,0.48266098,0.000243635,0,0.705,0.705949008,0.375757576 +2020/08/13 07:00,0.479896238,0.07673893,0.017544,0.358333333,0.755807365,0.39775023 +2020/08/13 08:00,0.46889593,0.417138778,0.1166,0.003333333,0.774504249,0.455693297 +2020/08/13 09:00,0.451774724,0.668739217,0.331948,0,0.764305949,0.455325987 +2020/08/13 10:00,0.445087895,0.757462559,0.551582,0,0.780736544,0.434802571 +2020/08/13 11:00,0.437452398,0.795477872,0.589538,0,0.785269122,0.426492195 +2020/08/13 12:00,0.434124611,0.796613916,0.684464,0,0.773371105,0.421303949 +2020/08/13 13:00,0.428697061,0.784418391,0.699006,0,0.769971671,0.429752066 +2020/08/13 14:00,0.398492615,0.747889141,0.72004,0.006666667,0.763172805,0.443847567 +2020/08/13 15:00,0.365670558,0.662709529,0.733016,0.003333333,0.776770538,0.442194674 +2020/08/13 16:00,0.333201427,0.472201368,0.781384,0,0.763172805,0.439164371 +2020/08/13 17:00,0.278986037,0.122075417,0.693436,0.068333333,0.628895184,0.441230487 +2020/08/13 18:00,0.256148306,0.000442622,0.556122,0.896666667,0.635127479,0.442332415 +2020/08/13 19:00,0.206963784,0,0.519376,0.505,0.644192635,0.435674931 +2020/08/13 20:00,0.165184444,0,0.503616,0.06,0.657790368,0.445546373 +2020/08/13 21:00,0.140784994,0,0.477486,0,0.633994334,0.444857668 +2020/08/13 22:00,0.122960342,0,0.09018,0,0.619830028,0.431634527 +2020/08/13 23:00,0.118665134,0,0.081326,0,0.603966006,0.37681359 +2020/08/14 00:00,0.110629111,0,0.069852,0,0.658923513,0.365610652 +2020/08/14 01:00,0.118222295,0,0,0,0.636260623,0.366437098 +2020/08/14 02:00,0.150462553,0,0,0,0.614730878,0.36359045 +2020/08/14 03:00,0.185031446,0,0,0,0.616997167,0.355096419 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00:00,0.455190022,0,0.086264,0,0.503116147,0.358815427 +2020/09/22 01:00,0.422579528,0,0.082632,0,0.507082153,0.368227732 +2020/09/22 02:00,0.395789899,0,0.08273,0,0.508215297,0.396969697 +2020/09/22 03:00,0.368329519,0,0.082738,0,0.508215297,0.40224977 +2020/09/22 04:00,0.39531244,0,0.082986,0,0.510481586,0.386363636 +2020/09/22 05:00,0.429207697,0,0.070612,0.003333333,0.520679887,0.383746556 +2020/09/22 06:00,0.418973343,0.02929828,0.07047,0.681666667,0.552974504,0.397107438 +2020/09/22 07:00,0.428213832,0.314278807,0.45384,0.555,0.603399433,0.409687787 +2020/09/22 08:00,0.323399815,0.594449787,0.893816,0.2,0.630028329,0.424334252 +2020/09/22 09:00,0.254043255,0.715826555,0.99987,0,0.569405099,0.441046832 +2020/09/22 10:00,0.214636304,0.779342646,1.001448,0,0.588101983,0.434435262 +2020/09/22 11:00,0.171028869,0.799255615,1.003488,0,0.590934844,0.423278237 +2020/09/22 12:00,0.134901623,0.809606342,1.006378,0,0.607932011,0.409412305 +2020/09/22 13:00,0.134055372,0.786018734,1.005278,0,0.64305949,0.390312213 +2020/09/22 14:00,0.145104243,0.723531287,1.005186,0,0.650991501,0.393112948 +2020/09/22 15:00,0.131945032,0.62871648,1.007514,0,0.644192635,0.416666667 +2020/09/22 16:00,0.12107647,0.482672986,1.00653,0,0.64305949,0.431404959 +2020/09/22 17:00,0.134582836,0.19975931,0.965636,0.283333333,0.642492918,0.405876951 +2020/09/22 18:00,0.166147536,0.008094193,0.822382,0.928333333,0.642492918,0.409090909 +2020/09/22 19:00,0.17390372,0,0.808568,0.681666667,0.602266289,0.434067952 +2020/09/22 20:00,0.188908816,0,0.806872,0.073333333,0.588101983,0.42107438 +2020/09/22 21:00,0.204329827,0,0.780898,0,0.575637394,0.395684114 +2020/09/22 22:00,0.194873928,0,0.214408,0,0.517847025,0.369926538 +2020/09/22 23:00,0.164201639,0,0.082288,0,0.516713881,0.372727273 +2020/09/23 00:00,0.155871831,0,0.082208,0,0.51388102,0.350367309 +2020/09/23 01:00,0.147613186,0,0.082258,0,0.517280453,0.367906336 +2020/09/23 02:00,0.152300265,0,0.082212,0,0.528045326,0.390587695 +2020/09/23 03:00,0.150946263,0,0.082392,0,0.532011331,0.36446281 +2020/09/23 04:00,0.175006251,0,0.082024,0,0.52407932,0.382782369 +2020/09/23 05:00,0.205215986,0,0.061788,0.003333333,0.621529745,0.373553719 +2020/09/23 06:00,0.24195436,0.02788602,0.174258,0.46,0.652124646,0.384435262 +2020/09/23 07:00,0.255291476,0.290810748,0.316986,0.553333333,0.660623229,0.396051423 +2020/09/23 08:00,0.207592703,0.589744911,0.702788,0.19,0.660056657,0.450550964 +2020/09/23 09:00,0.22400902,0.74732186,0.9486,0,0.655524079,0.461111111 +2020/09/23 10:00,0.233527426,0.82909372,0.974232,0,0.652124646,0.467263545 +2020/09/23 11:00,0.190966265,0.863219612,0.98244,0,0.657790368,0.456427916 +2020/09/23 12:00,0.158439916,0.858403158,0.979492,0,0.663456091,0.457162534 +2020/09/23 13:00,0.141350925,0.827135791,0.969082,0,0.670254958,0.456427916 +2020/09/23 14:00,0.141947629,0.762879565,0.963142,0,0.670254958,0.453627181 +2020/09/23 15:00,0.148100742,0.654331621,0.95307,0,0.67082153,0.457667585 +2020/09/23 16:00,0.12304689,0.468337327,0.960026,0,0.666288952,0.459320478 +2020/09/23 17:00,0.107832635,0.16986329,0.88858,0.283333333,0.668555241,0.465748393 +2020/09/23 18:00,0.13684704,0.006192584,0.818916,1.005,0.665155807,0.468916437 +2020/09/23 19:00,0.200050006,0,0.810164,0.566666667,0.645892351,0.468916437 +2020/09/23 20:00,0.177836866,0,0.811222,0.073333333,0.645892351,0.446189164 +2020/09/23 21:00,0.169693138,0,0.6001,0,0.529745042,0.4359045 +2020/09/23 22:00,0.159786225,0,0.180376,0,0.532577904,0.389944904 +2020/09/23 23:00,0.138460688,0,0.078204,0,0.52917847,0.382552801 +2020/09/24 00:00,0.138350098,0,0.07833,0,0.522379603,0.38503214 +2020/09/24 01:00,0.122352098,0,0.078336,0,0.525212465,0.383516988 +2020/09/24 02:00,0.149549467,0,0.077724,0,0.532011331,0.383241506 +2020/09/24 03:00,0.13143632,0,0.019874,0,0.531444759,0.368089991 +2020/09/24 04:00,0.134152498,0,0,0,0.525212465,0.366988062 +2020/09/24 05:00,0.176822806,0,0,0.031666667,0.528611898,0.366483012 +2020/09/24 06:00,0.21605618,0.02956713,0.041598,0.535,0.588668555,0.38677686 +2020/09/24 07:00,0.261421991,0.288042017,0.181694,0.553333333,0.640226629,0.396235078 +2020/09/24 08:00,0.284879986,0.575455478,0.239218,0.196666667,0.655524079,0.443112948 +2020/09/24 09:00,0.314441089,0.726305331,0.365888,0,0.66572238,0.440174472 +2020/09/24 10:00,0.384262126,0.81183259,0.413928,0,0.661189802,0.431818182 +2020/09/24 11:00,0.402914279,0.842681806,0.447262,0,0.664022663,0.417217631 +2020/09/24 12:00,0.368271339,0.842933122,0.408848,0,0.666855524,0.397015611 +2020/09/24 13:00,0.342156306,0.796504949,0.529746,0,0.669121813,0.396418733 +2020/09/24 14:00,0.317691945,0.701413322,0.635466,0,0.668555241,0.404086318 +2020/09/24 15:00,0.316565854,0.605610784,0.64424,0,0.667988669,0.405509642 +2020/09/24 16:00,0.34719583,0.396898129,0.636944,0,0.666855524,0.392056933 +2020/09/24 17:00,0.352837827,0.134940412,0.522858,0.113333333,0.663456091,0.401561065 +2020/09/24 18:00,0.331887814,0.005279237,0.479922,0.883333333,0.647592068,0.403535354 +2020/09/24 19:00,0.317671751,0,0.458754,0.608333333,0.645892351,0.404637282 +2020/09/24 20:00,0.331832519,0,0.456252,0.163333333,0.620963173,0.390679522 +2020/09/24 21:00,0.248222391,0,0.319744,0,0.62266289,0.367676768 +2020/09/24 22:00,0.229394738,0,0.049588,0,0.546175637,0.332966024 +2020/09/24 23:00,0.330901162,0,0,0,0.507648725,0.327502296 +2020/09/25 00:00,0.486352752,0,0,0,0.511614731,0.336730946 +2020/09/25 01:00,0.582209005,0,0,0,0.524645892,0.345179063 +2020/09/25 02:00,0.60381871,0,0,0,0.530878187,0.347199265 +2020/09/25 03:00,0.596546717,0,0,0,0.533144476,0.338292011 +2020/09/25 04:00,0.576110224,0,0,0,0.527478754,0.34476584 +2020/09/25 05:00,0.583989499,5.31E-07,0,0.035,0.639660057,0.324977043 +2020/09/25 06:00,0.558036985,0.027422174,0,0.66,0.661189802,0.308631772 +2020/09/25 07:00,0.588163538,0.248788315,0.002304,0.555,0.672521246,0.366023875 +2020/09/25 08:00,0.615366196,0.529528343,0.148004,0.206666667,0.679320113,0.409274564 +2020/09/25 09:00,0.641148979,0.674269031,0.573082,0.033333333,0.679886686,0.423048669 +2020/09/25 10:00,0.707233046,0.737742616,0.670246,0,0.679886686,0.409687787 +2020/09/25 11:00,0.756384391,0.759357948,0.605052,0,0.67592068,0.394536272 +2020/09/25 12:00,0.805619398,0.759514157,0.546476,0,0.678186969,0.380486685 +2020/09/25 13:00,0.819800362,0.77505114,0.611682,0,0.679886686,0.391827365 +2020/09/25 14:00,0.801348713,0.770825518,0.698742,0,0.700283286,0.385629017 +2020/09/25 15:00,0.774071047,0.678980814,0.751826,0,0.682152975,0.390725436 +2020/09/25 16:00,0.787771185,0.506699998,0.786922,0,0.677620397,0.390174472 +2020/09/25 17:00,0.747605012,0.207820561,0.722778,0.13,0.675354108,0.390863177 +2020/09/25 18:00,0.709157307,0.007439602,0.603724,0.88,0.66572238,0.413131313 +2020/09/25 19:00,0.671142824,0,0.618462,0.576666667,0.665155807,0.412488522 +2020/09/25 20:00,0.633553872,0,0.584226,0.133333333,0.654957507,0.42194674 +2020/09/25 21:00,0.631170424,0,0.513694,0,0.640793201,0.414508724 +2020/09/25 22:00,0.613833327,0,0.059088,0,0.522946176,0.361157025 +2020/09/25 23:00,0.582692234,0,0,0,0.511048159,0.378374656 +2020/09/26 00:00,0.535595453,0,0,0,0.516147309,0.384527089 +2020/09/26 01:00,0.530578528,0,0,0,0.520679887,0.376905418 +2020/09/26 02:00,0.523639747,0,0,0,0.52407932,0.381634527 +2020/09/26 03:00,0.506540178,0,0,0,0.525779037,0.388062443 +2020/09/26 04:00,0.496485652,0,0,0,0.528611898,0.380532599 +2020/09/26 05:00,0.506381506,0,0,0.035,0.635694051,0.383976125 +2020/09/26 06:00,0.534183271,0.038408896,0,0.671666667,0.661189802,0.387465565 +2020/09/26 07:00,0.557234008,0.314407388,0.013786,0.553333333,0.669121813,0.397979798 +2020/09/26 08:00,0.612075432,0.60101111,0.248788,0.198333333,0.672521246,0.429981635 +2020/09/26 09:00,0.611046948,0.801787906,0.509598,0,0.672521246,0.421579431 +2020/09/26 10:00,0.604246163,0.87101467,0.64048,0,0.671388102,0.409550046 +2020/09/26 11:00,0.598249317,0.911347491,0.631466,0,0.674787535,0.417676768 +2020/09/26 12:00,0.627023791,0.923132794,0.756172,0,0.677620397,0.416115702 +2020/09/26 13:00,0.618536754,0.905664979,0.793546,0,0.679320113,0.410376492 +2020/09/26 14:00,0.619236354,0.857495656,0.796104,0,0.682719547,0.408402204 +2020/09/26 15:00,0.625656326,0.768776732,0.794428,0,0.679886686,0.411248852 +2020/09/26 16:00,0.650905874,0.573206382,0.793956,0,0.677053824,0.422727273 +2020/09/26 17:00,0.608721199,0.243877817,0.760332,0.175,0.671954674,0.420110193 +2020/09/26 18:00,0.490733546,0.0101552,0.631746,0.93,0.650991501,0.427318641 +2020/09/26 19:00,0.466664904,0,0.625268,0.563333333,0.635694051,0.428145087 +2020/09/26 20:00,0.424034023,0,0.629378,0.106666667,0.639093484,0.429338843 +2020/09/26 21:00,0.392479902,0,0.608766,0,0.633427762,0.41707989 +2020/09/26 22:00,0.361775878,0,0.177852,0,0.517847025,0.242883379 +2020/09/26 23:00,0.310171366,0,0.082896,0,0.505949008,0.22805326 +2020/09/27 00:00,0.259310209,0,0.081356,0,0.499716714,0.229935721 +2020/09/27 01:00,0.240546986,0,0.080986,0,0.50878187,0.235996327 +2020/09/27 02:00,0.213314517,0,0.080654,0,0.516713881,0.249173554 +2020/09/27 03:00,0.19770887,0,0.079678,0,0.514447592,0.24476584 +2020/09/27 04:00,0.184414067,0,0.036956,0,0.517847025,0.224380165 +2020/09/27 05:00,0.160520445,3.72E-06,0,0.065,0.629461756,0.24251607 +2020/09/27 06:00,0.113237585,0.050505024,0.052994,0.636666667,0.655524079,0.295684114 +2020/09/27 07:00,0.107578759,0.397458676,0.339012,0.553333333,0.664589235,0.315656566 +2020/09/27 08:00,0.132895142,0.696664878,0.689432,0.198333333,0.682152975,0.359458219 +2020/09/27 09:00,0.205286668,0.828812118,0.800964,0,0.68611898,0.378833792 +2020/09/27 10:00,0.228292207,0.901169445,0.80141,0,0.679886686,0.403168044 +2020/09/27 11:00,0.242351041,0.928633062,0.799032,0,0.677053824,0.416896235 +2020/09/27 12:00,0.276373235,0.925445648,0.803228,0,0.680453258,0.412258953 +2020/09/27 13:00,0.296442378,0.900916534,0.803478,0,0.677053824,0.414646465 +2020/09/27 14:00,0.310034812,0.851247284,0.800574,0,0.650424929,0.403535354 +2020/09/27 15:00,0.355508809,0.756936172,0.802544,0,0.607365439,0.387924702 +2020/09/27 16:00,0.383557237,0.588023952,0.801302,0,0.670254958,0.375665748 +2020/09/27 17:00,0.39692176,0.246405326,0.766254,0.116666667,0.666288952,0.388521579 +2020/09/27 18:00,0.380750183,0.011436754,0.63274,0.793333333,0.657790368,0.407943067 +2020/09/27 19:00,0.366474016,0,0.62845,0.713333333,0.630594901,0.434802571 +2020/09/27 20:00,0.342183714,0,0.634584,0.333333333,0.63796034,0.43415978 +2020/09/27 21:00,0.284081817,0,0.61451,0,0.634560907,0.430532599 +2020/09/27 22:00,0.224862003,0,0.260408,0,0.541643059,0.402754821 +2020/09/27 23:00,0.207455187,0,0.111432,0,0.514447592,0.399081726 +2020/09/28 00:00,0.226406412,0,0.080414,0,0.515014164,0.372130395 +2020/09/28 01:00,0.197052064,0,0.080252,0,0.519546742,0.356014692 +2020/09/28 02:00,0.171883294,0,0.079058,0,0.522379603,0.342194674 +2020/09/28 03:00,0.130451591,0,0.079904,0,0.524645892,0.378512397 +2020/09/28 04:00,0.092067835,0,0.08178,0,0.52407932,0.388521579 +2020/09/28 05:00,0.085715659,4.78E-06,0.056394,0.003333333,0.544475921,0.385629017 +2020/09/28 06:00,0.085368504,0.055981382,0.02592,0.693333333,0.647592068,0.383654729 +2020/09/28 07:00,0.070811055,0.414382947,0.213908,0.55,0.664589235,0.388337925 +2020/09/28 08:00,0.043940166,0.698217407,0.370058,0.203333333,0.669121813,0.419054178 +2020/09/28 09:00,0.040143574,0.83004851,0.398474,0,0.64305949,0.410192837 +2020/09/28 10:00,0.022321806,0.892251699,0.401536,0,0.637393768,0.409917355 +2020/09/28 11:00,0.027231027,0.925970065,0.400108,0,0.64305949,0.426170799 +2020/09/28 12:00,0.056251683,0.926022135,0.399506,0,0.635127479,0.421808999 +2020/09/28 13:00,0.129035562,0.909412409,0.401592,0,0.635127479,0.413865932 +2020/09/28 14:00,0.170377351,0.8562412,0.401146,0,0.63286119,0.416115702 +2020/09/28 15:00,0.229216352,0.770657089,0.399694,0,0.637393768,0.418319559 +2020/09/28 16:00,0.326745394,0.590055736,0.399492,0,0.656090652,0.416483012 +2020/09/28 17:00,0.388857368,0.253650463,0.37254,0.263333333,0.680453258,0.414233242 +2020/09/28 18:00,0.442702043,0.012274652,0.29426,0.758333333,0.647592068,0.422176309 +2020/09/28 19:00,0.533224507,0,0.28834,0.806666667,0.630594901,0.428374656 +2020/09/28 20:00,0.524895661,0,0.295464,0.15,0.630028329,0.439485767 +2020/09/28 21:00,0.512602416,0,0.274228,0,0.616430595,0.435123967 +2020/09/28 22:00,0.467717429,0,0.0848,0,0.504249292,0.397061524 +2020/09/28 23:00,0.43340722,0,0.082332,0,0.50878187,0.39040404 +2020/09/29 00:00,0.415008943,0,0.08227,0,0.509915014,0.385078053 +2020/09/29 01:00,0.341296592,0,0.081818,0,0.512181303,0.387741047 +2020/09/29 02:00,0.337189387,0,0.082132,0,0.517847025,0.390633609 +2020/09/29 03:00,0.343591087,0,0.082206,0,0.519546742,0.400734619 +2020/09/29 04:00,0.332297957,0,0.081584,0,0.518413598,0.389393939 +2020/09/29 05:00,0.326779532,7.97E-06,0.067982,0.023333333,0.618130312,0.384205693 +2020/09/29 06:00,0.270944244,0.056722048,0.000408,0.668333333,0.665155807,0.392929293 +2020/09/29 07:00,0.233818806,0.400358113,0.0403,0.55,0.669121813,0.402203857 +2020/09/29 08:00,0.263559257,0.683693128,0.27923,0.203333333,0.667422096,0.427410468 +2020/09/29 09:00,0.296667885,0.77806853,0.3965,0.003333333,0.660623229,0.433884298 +2020/09/29 10:00,0.310295419,0.846440925,0.398546,0,0.659490085,0.426446281 +2020/09/29 11:00,0.317201023,0.870612457,0.398536,0,0.657223796,0.41584022 +2020/09/29 12:00,0.340412355,0.879502043,0.39833,0,0.657223796,0.367355372 +2020/09/29 13:00,0.349240297,0.867564782,0.401816,0,0.661189802,0.365886134 +2020/09/29 14:00,0.333017752,0.827289875,0.400566,0,0.660056657,0.406473829 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01:00,0.050095684,0,0,0,0.529745042,0.318365473 +2020/10/05 02:00,0.0454639,0,0,0,0.535977337,0.321212121 +2020/10/05 03:00,0.061143593,0,0,0,0.538810198,0.34600551 +2020/10/05 04:00,0.087325461,0,0,0,0.543342776,0.342975207 +2020/10/05 05:00,0.080984344,0,0,0.211666667,0.573937677,0.340679522 +2020/10/05 06:00,0.104192311,0.018251588,0,0.705,0.658923513,0.338200184 +2020/10/05 07:00,0.109538601,0.125112795,0,0.553333333,0.667422096,0.341919192 +2020/10/05 08:00,0.097585298,0.257107236,0,0.398333333,0.666288952,0.408677686 +2020/10/05 09:00,0.083976997,0.395246514,0,0.2,0.666288952,0.456060606 +2020/10/05 10:00,0.081605089,0.479307543,0,0,0.671388102,0.450642792 +2020/10/05 11:00,0.076648267,0.539442233,0,0,0.670254958,0.441046832 +2020/10/05 12:00,0.122920914,0.492028471,0,0,0.671954674,0.436317723 +2020/10/05 13:00,0.15511886,0.470170508,0,0,0.683852691,0.427640037 +2020/10/05 14:00,0.201144844,0.405933299,0.003888,0,0.690651558,0.451606979 +2020/10/05 15:00,0.21568931,0.307002744,0.01852,0,0.662889518,0.44862259 +2020/10/05 16:00,0.244828249,0.19149707,0,0,0.682719547,0.457805326 +2020/10/05 17:00,0.30005241,0.074685886,0,0.05,0.676487252,0.455280073 +2020/10/05 18:00,0.308086029,0.006542877,0,0.966666667,0.667988669,0.450183655 +2020/10/05 19:00,0.403056122,0,0,0.725,0.668555241,0.445500459 +2020/10/05 20:00,0.407673482,0,0,0.353333333,0.678186969,0.447520661 +2020/10/05 21:00,0.337391334,0,0,0.026666667,0.645325779,0.452295684 +2020/10/05 22:00,0.286610474,0,0,0,0.643626062,0.436455464 +2020/10/05 23:00,0.236529215,0,0,0,0.645325779,0.415610652 +2020/10/06 00:00,0.239924799,0,0,0,0.638526912,0.398530762 +2020/10/06 01:00,0.227975343,0,0,0,0.639093484,0.397061524 +2020/10/06 02:00,0.211960034,0,0,0,0.639093484,0.386179982 +2020/10/06 03:00,0.195752875,0,0,0,0.642492918,0.391460055 +2020/10/06 04:00,0.131848867,0,0,0,0.645325779,0.407300275 +2020/10/06 05:00,0.101819441,1.12E-05,0,0.03,0.660623229,0.410055096 +2020/10/06 06:00,0.108289418,0.032884027,0,0.673333333,0.679886686,0.408310376 +2020/10/06 07:00,0.099124899,0.194011006,0,0.553333333,0.688385269,0.403351699 +2020/10/06 08:00,0.082338828,0.42557215,0.119984,0.398333333,0.673654391,0.472405877 +2020/10/06 09:00,0.048203639,0.547076527,0.457932,0.003333333,0.677053824,0.485766758 +2020/10/06 10:00,0.038602531,0.583608316,0.529106,0,0.705949008,0.480991736 +2020/10/06 11:00,0.041497096,0.62090655,0.619208,0,0.68101983,0.474747475 +2020/10/06 12:00,0.06851704,0.633002059,0.77581,0,0.446458924,0.470339761 +2020/10/06 13:00,0.093413663,0.600761334,0.772238,0,0.609065156,0.466666667 +2020/10/06 14:00,0.101939166,0.525383094,0.67748,0,0.692351275,0.453673095 +2020/10/06 15:00,0.135478132,0.490268715,0.53331,0,0.673087819,0.429706152 +2020/10/06 16:00,0.193301631,0.364355242,0.607622,0,0.690651558,0.459504132 +2020/10/06 17:00,0.287535581,0.148725404,0.65619,0.371666667,0.688951841,0.462672176 +2020/10/06 18:00,0.306941186,0.011918716,0.573814,1.003333333,0.683286119,0.471395776 +2020/10/06 19:00,0.360903181,0,0.485032,0.5,0.742776204,0.49040404 +2020/10/06 20:00,0.401105416,0,0.464558,0.243333333,0.685552408,0.48815427 +2020/10/06 21:00,0.359273666,0,0.270216,0,0.662889518,0.481496786 +2020/10/06 22:00,0.341310536,0,0.003458,0,0.65325779,0.455096419 +2020/10/06 23:00,0.283075932,0,0,0,0.650424929,0.437603306 +2020/10/07 00:00,0.251251587,0,0,0,0.643626062,0.437419651 +2020/10/07 01:00,0.214221833,0,0,0,0.645892351,0.445546373 +2020/10/07 02:00,0.177947455,0,0,0,0.646458924,0.46707989 +2020/10/07 03:00,0.149065758,0,0,0,0.643626062,0.469375574 +2020/10/07 04:00,0.14249096,0,0,0,0.644192635,0.472635445 +2020/10/07 05:00,0.139345886,9.35E-05,0,0.038333333,0.660056657,0.475573921 +2020/10/07 06:00,0.133459149,0.065059859,0.003844,0.658333333,0.679886686,0.479247016 +2020/10/07 07:00,0.150722199,0.375352692,0.185038,0.553333333,0.699716714,0.482552801 +2020/10/07 08:00,0.138927088,0.608408913,0.585972,0.398333333,0.679886686,0.497107438 +2020/10/07 09:00,0.135285321,0.705976731,0.784126,0,0.700849858,0.533379247 +2020/10/07 10:00,0.107062353,0.771608357,0.795024,0,0.728611898,0.534022039 +2020/10/07 11:00,0.105530927,0.797926002,0.79718,0,0.700283286,0.514738292 +2020/10/07 12:00,0.106624803,0.762813156,0.768726,0,0.694050992,0.485583104 +2020/10/07 13:00,0.119873928,0.724151674,0.714548,0,0.706515581,0.50785124 +2020/10/07 14:00,0.15793505,0.66536286,0.717482,0,0.693484419,0.508494031 +2020/10/07 15:00,0.226907432,0.555911583,0.685868,0,0.710481586,0.520890725 +2020/10/07 16:00,0.28294659,0.35218922,0.657042,0,0.684419263,0.519008264 +2020/10/07 17:00,0.336459495,0.151789647,0.655758,0.123333333,0.688385269,0.514554637 +2020/10/07 18:00,0.461683079,0.012107261,0.5988,0.821666667,0.68101983,0.511294766 +2020/10/07 19:00,0.499589857,0,0.564672,0.891666667,0.69121813,0.503305785 +2020/10/07 20:00,0.494459457,0,0.541912,0.273333333,0.669688385,0.499311295 +2020/10/07 21:00,0.412137939,0,0.47344,0,0.673654391,0.502066116 +2020/10/07 22:00,0.29467727,0,0.08511,0,0.650991501,0.465610652 +2020/10/07 23:00,0.261462861,0,0.008546,0,0.647592068,0.429109275 +2020/10/08 00:00,0.229153105,0,0,0,0.644192635,0.421625344 +2020/10/08 01:00,0.214910035,0,0,0,0.64305949,0.45174472 +2020/10/08 02:00,0.148581956,0,0,0,0.64305949,0.439577594 +2020/10/08 03:00,0.118609658,0,0,0,0.644192635,0.43117539 +2020/10/08 04:00,0.141958016,0,0,0,0.648725212,0.440955005 +2020/10/08 05:00,0.135112365,5.72E-05,0,0.065,0.667988669,0.43728191 +2020/10/08 06:00,0.140151861,0.055552376,0.019762,0.638333333,0.684419263,0.43989899 +2020/10/08 07:00,0.147423566,0.315376401,0.190312,0.555,0.697450425,0.436685032 +2020/10/08 08:00,0.175631309,0.518109029,0.561552,0.418333333,0.679886686,0.479614325 +2020/10/08 09:00,0.190883283,0.661908241,0.690448,0,0.707082153,0.475665748 +2020/10/08 10:00,0.189140214,0.777231502,0.69065,0,0.705382436,0.457438017 +2020/10/08 11:00,0.203870136,0.803813826,0.717062,0,0.672521246,0.451790634 +2020/10/08 12:00,0.280420293,0.783208744,0.748114,0,0.701983003,0.456244261 +2020/10/08 13:00,0.325522052,0.743754758,0.73479,0,0.725212465,0.43953168 +2020/10/08 14:00,0.389353697,0.670472998,0.68915,0,0.688951841,0.447199265 +2020/10/08 15:00,0.455621434,0.559072909,0.771988,0,0.689518414,0.464187328 +2020/10/08 16:00,0.503579853,0.441701199,0.77586,0,0.682152975,0.449311295 +2020/10/08 17:00,0.53886273,0.208511617,0.766782,0.158333333,0.683286119,0.441184573 +2020/10/08 18:00,0.555792404,0.015013617,0.715582,0.763333333,0.692351275,0.417217631 +2020/10/08 19:00,0.546337405,0,0.57176,0.811666667,0.709915014,0.450642792 +2020/10/08 20:00,0.513324221,0,0.382118,0.36,0.695750708,0.450826446 +2020/10/08 21:00,0.478364541,0,0.268282,0,0.656657224,0.423553719 +2020/10/08 22:00,0.430240181,0,0.003196,0,0.646458924,0.386225895 +2020/10/08 23:00,0.404758356,0,0,0,0.640793201,0.377456382 +2020/10/09 00:00,0.37620456,0,0,0,0.635127479,0.382552801 +2020/10/09 01:00,0.349100808,0,0,0,0.635127479,0.387603306 +2020/10/09 02:00,0.34621352,0,0,0,0.63796034,0.39825528 +2020/10/09 03:00,0.333057069,0,0,0,0.637393768,0.400275482 +2020/10/09 04:00,0.330421208,0,0,0,0.643626062,0.398117539 +2020/10/09 05:00,0.340593915,0.000123142,0,0.353333333,0.663456091,0.39651056 +2020/10/09 06:00,0.341672305,0.068246734,0,0.353333333,0.670254958,0.400550964 +2020/10/09 07:00,0.342394127,0.363010388,0.028102,0.516666667,0.67592068,0.406473829 +2020/10/09 08:00,0.36604511,0.614340679,0.352442,0.805,0.667988669,0.430348944 +2020/10/09 09:00,0.430704176,0.726927224,0.591124,0.033333333,0.668555241,0.4043618 +2020/10/09 10:00,0.471831572,0.733382726,0.682544,0,0.678186969,0.432460973 +2020/10/09 11:00,0.534456371,0.703332499,0.844382,0,0.662889518,0.439944904 +2020/10/09 12:00,0.607086564,0.721199332,0.870214,0,0.658356941,0.435996327 +2020/10/09 13:00,0.656799938,0.77282547,0.827688,0,0.650991501,0.429292929 +2020/10/09 14:00,0.678989449,0.697654681,0.982918,0,0.650424929,0.431496786 +2020/10/09 15:00,0.689792093,0.672622107,0.951378,0,0.646458924,0.411983471 +2020/10/09 16:00,0.744449879,0.556438386,0.993448,0,0.645892351,0.392011019 +2020/10/09 17:00,0.746860372,0.266727642,0.955104,0.086666667,0.682152975,0.389990817 +2020/10/09 18:00,0.761783207,0.019019565,0.814244,0.621666667,0.682719547,0.408769513 +2020/10/09 19:00,0.807185306,0,0.800882,0.705,0.738243626,0.403168044 +2020/10/09 20:00,0.786872806,0,0.802894,0.613333333,0.69121813,0.423094582 +2020/10/09 21:00,0.796631802,0,0.637468,0.088333333,0.671954674,0.417860422 +2020/10/09 22:00,0.752820546,0,0.15397,0,0.64815864,0.372865014 +2020/10/09 23:00,0.727000439,0,0.082112,0,0.641359773,0.268778696 +2020/10/10 00:00,0.657982098,0,0.08209,0,0.631728045,0.256060606 +2020/10/10 01:00,0.594822447,0,0.081572,0,0.636260623,0.262075298 +2020/10/10 02:00,0.578358598,0,0.081146,0,0.63796034,0.264370983 +2020/10/10 03:00,0.502434721,0,0.081086,0,0.636827195,0.264508724 +2020/10/10 04:00,0.487310745,0,0.081232,0,0.642492918,0.269926538 +2020/10/10 05:00,0.505969774,0.000273876,0.060622,0.003333333,0.650991501,0.271625344 +2020/10/10 06:00,0.530410693,0.098204988,0.13579,0.695,0.653824363,0.29862259 +2020/10/10 07:00,0.528274027,0.466981079,0.235708,0.555,0.66572238,0.377364555 +2020/10/10 08:00,0.591514135,0.714324328,0.773246,0.401666667,0.669121813,0.429476584 +2020/10/10 09:00,0.626340331,0.817377842,0.983062,0,0.671388102,0.440036731 +2020/10/10 10:00,0.657742558,0.873150443,1.002768,0,0.667422096,0.419513315 +2020/10/10 11:00,0.599077494,0.898175352,1.005246,0,0.674220963,0.380899908 +2020/10/10 12:00,0.58388769,0.897796218,1.003258,0,0.66572238,0.406152433 +2020/10/10 13:00,0.599782859,0.886890741,1.002526,0,0.664022663,0.402387511 +2020/10/10 14:00,0.65874872,0.822984124,1.004682,0,0.669688385,0.403168044 +2020/10/10 15:00,0.561884691,0.734108293,0.998978,0,0.674787535,0.416666667 +2020/10/10 16:00,0.618947484,0.587554481,1.000038,0,0.678186969,0.418686869 +2020/10/10 17:00,0.617862237,0.282770849,0.964664,0.145,0.676487252,0.422681359 +2020/10/10 18:00,0.576211417,0.020530481,0.8427,0.931666667,0.673654391,0.401698806 +2020/10/10 19:00,0.557963813,0,0.817824,0.765,0.667422096,0.419467401 +2020/10/10 20:00,0.548430643,0,0.822668,0.253333333,0.664022663,0.428696051 +2020/10/10 21:00,0.506183715,0,0.773418,0,0.668555241,0.41359045 +2020/10/10 22:00,0.522246654,0,0.14944,0,0.656657224,0.425298439 +2020/10/10 23:00,0.49609375,0,0.084074,0,0.653824363,0.427272727 +2020/10/11 00:00,0.456381656,0,0.0783,0,0.645325779,0.409090909 +2020/10/11 01:00,0.453820308,0,0.07769,0,0.629461756,0.410284665 +2020/10/11 02:00,0.44308852,0,0.077382,0,0.457790368,0.412534435 +2020/10/11 03:00,0.440164204,0,0.077118,0,0.369971671,0.397979798 +2020/10/11 04:00,0.394425651,0,0.075302,0,0.48101983,0.42369146 +2020/10/11 05:00,0.390006034,0.000249861,0.075072,0,0.624929178,0.419421488 +2020/10/11 06:00,0.383472151,0.096246979,0.418792,0.685,0.656090652,0.442699725 +2020/10/11 07:00,0.390450373,0.471607335,0.611568,0.558333333,0.67592068,0.46758494 +2020/10/11 08:00,0.386287668,0.706357398,0.856564,0.408333333,0.682152975,0.458677686 +2020/10/11 09:00,0.354582358,0.800191611,0.933346,0.006666667,0.681586402,0.45610652 +2020/10/11 10:00,0.313243307,0.867361746,0.970132,0,0.680453258,0.455050505 +2020/10/11 11:00,0.286642865,0.890059732,1.003974,0,0.684419263,0.46620753 +2020/10/11 12:00,0.253128657,0.881968126,1.002018,0,0.680453258,0.477869605 +2020/10/11 13:00,0.254364303,0.869198146,1.002692,0,0.682719547,0.488613407 +2020/10/11 14:00,0.221843915,0.816701838,0.999552,0,0.666288952,0.486042241 +2020/10/11 15:00,0.307711929,0.732614749,0.998698,0,0.65325779,0.486914601 +2020/10/11 16:00,0.392733781,0.580697873,1.003228,0,0.676487252,0.501147842 +2020/10/11 17:00,0.386363553,0.283229693,0.969462,0.156666667,0.678186969,0.496694215 +2020/10/11 18:00,0.367011044,0.021241231,0.841278,0.761666667,0.67082153,0.479614325 +2020/10/11 19:00,0.407087478,0,0.798362,0.938333333,0.664589235,0.492883379 +2020/10/11 20:00,0.443658572,0,0.815322,0.256666667,0.662889518,0.502708907 +2020/10/11 21:00,0.449689603,0,0.762764,0,0.658356941,0.490587695 +2020/10/11 22:00,0.392934922,0,0.209084,0,0.64305949,0.465289256 +2020/10/11 23:00,0.301696442,0,0.110124,0,0.640793201,0.478145087 +2020/10/12 00:00,0.285014537,0,0.07712,0,0.635127479,0.487235996 +2020/10/12 01:00,0.257878328,0,0.075628,0,0.63286119,0.46584022 +2020/10/12 02:00,0.217743838,0,0.075678,0,0.632294618,0.487741047 +2020/10/12 03:00,0.25504544,0,0.075802,0,0.628895184,0.447887971 +2020/10/12 04:00,0.264699294,0,0.076082,0,0.631161473,0.430348944 +2020/10/12 05:00,0.257888842,0.000380667,0.081508,0,0.651558074,0.453535354 +2020/10/12 06:00,0.266977216,0.10227174,0.357984,0.658333333,0.679886686,0.492470156 +2020/10/12 07:00,0.230022126,0.463960268,0.637106,0.351666667,0.686685552,0.472268136 +2020/10/12 08:00,0.180916746,0.687056293,0.965348,0.203333333,0.703116147,0.537052342 +2020/10/12 09:00,0.197456938,0.791530282,1.000272,0.203333333,0.684419263,0.54912764 +2020/10/12 10:00,0.169547707,0.8571149,0.999978,0.193333333,0.704815864,0.527640037 +2020/10/12 11:00,0.16343622,0.878762346,1.002978,0,0.723512748,0.516299357 +2020/10/12 12:00,0.141088081,0.886091595,1.003246,0,0.72917847,0.526951331 +2020/10/12 13:00,0.134312372,0.855725593,1.00244,0,0.753541076,0.550045914 +2020/10/12 14:00,0.130869203,0.808357817,1.003246,0,0.716713881,0.546097337 +2020/10/12 15:00,0.154977783,0.707256181,0.994424,0,0.700849858,0.515197429 +2020/10/12 16:00,0.247289168,0.562518331,0.94752,0.01,0.675354108,0.510606061 +2020/10/12 17:00,0.219416051,0.242917801,0.916846,0.373333333,0.698583569,0.505050505 +2020/10/12 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21:00,0.375292112,0,0.759042,0.01,0.284985836,0.343572084 +2020/10/27 22:00,0.314604666,0,0.2065,0,0.275354108,0.341827365 +2020/10/27 23:00,0.258801291,0,0.081698,0,0.271388102,0.318273646 +2020/10/28 00:00,0.226414844,0,0.073698,0,0.266288952,0.31671258 +2020/10/28 01:00,0.192465897,0,0.001418,0,0.267422096,0.327731864 +2020/10/28 02:00,0.170139244,0,0,0,0.266855524,0.329522498 +2020/10/28 03:00,0.198575099,0,0,0,0.269688385,0.30348944 +2020/10/28 04:00,0.231663711,0,0,0,0.269688385,0.286134068 +2020/10/28 05:00,0.18309044,0.002620217,0,0.01,0.28101983,0.31359045 +2020/10/28 06:00,0.157958784,0.09590259,0,0.45,0.290651558,0.352479339 +2020/10/28 07:00,0.132347133,0.37181172,0.102818,0.49,0.295184136,0.347979798 +2020/10/28 08:00,0.147192711,0.593860783,0.426722,0.216666667,0.303116147,0.330257117 +2020/10/28 09:00,0.209151459,0.697287299,0.573562,0.201666667,0.305382436,0.306841139 +2020/10/28 10:00,0.274799773,0.757877257,0.658446,0.201666667,0.308215297,0.267263545 +2020/10/28 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19:00,0.429563036,0.000903503,0.726478,0.705,0.57223796,0.614738292 +2020/11/22 20:00,0.406069133,0,0.67734,0.483333333,0.56713881,0.623232323 +2020/11/22 21:00,0.348313843,0,0.51008,0.163333333,0.549008499,0.628741965 +2020/11/22 22:00,0.280668784,0,0.103368,0,0.540509915,0.603810836 +2020/11/22 23:00,0.244426087,0,0.068954,0,0.548441926,0.597612489 +2020/11/23 00:00,0.220246362,0,0.016188,0,0.493484419,0.601652893 +2020/11/23 01:00,0.169038215,0,0,0,0.500283286,0.605188246 +2020/11/23 02:00,0.127232362,0,0,0,0.507648725,0.608861341 +2020/11/23 03:00,0.118965502,0,0,0,0.511048159,0.609504132 +2020/11/23 04:00,0.10749886,0,0,0,0.513314448,0.618595041 +2020/11/23 05:00,0.12953593,0.010164904,0,0.065,0.579036827,0.613957759 +2020/11/23 06:00,0.09147628,0.207279697,0.017942,0.63,0.602832861,0.613682277 +2020/11/23 07:00,0.063998245,0.517911608,0.398438,0.413333333,0.619263456,0.621395776 +2020/11/23 08:00,0.078464173,0.685662544,0.747282,0.39,0.601133144,0.628282828 +2020/11/23 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12:00,0.084965004,0.835464965,0.991794,0,0.652124646,0.814784206 +2020/12/16 13:00,0.101878106,0.812896574,0.991708,0,0.653824363,0.814141414 +2020/12/16 14:00,0.137720452,0.725897967,0.993614,0,0.656090652,0.817814509 +2020/12/16 15:00,0.176817207,0.628732979,0.976712,0,0.656090652,0.822910927 +2020/12/16 16:00,0.253843905,0.549667584,0.973038,0,0.551274788,0.821900826 +2020/12/16 17:00,0.41817857,0.397688587,0.974898,0.036666667,0.649858357,0.825390266 +2020/12/16 18:00,0.50493358,0.152971571,0.921156,0.448333333,0.653824363,0.829568411 +2020/12/16 19:00,0.487065186,0.006013513,0.811124,0.741666667,0.68611898,0.8359045 +2020/12/16 20:00,0.468951168,0,0.80411,0.405,0.674220963,0.812167126 +2020/12/16 21:00,0.450687746,0,0.784694,0.13,0.670254958,0.812672176 +2020/12/16 22:00,0.37080735,0,0.175532,0,0.62776204,0.827043159 +2020/12/16 23:00,0.365021599,0,0.089684,0,0.614730878,0.803168044 +2020/12/17 00:00,0.384636559,0,0.083524,0,0.607365439,0.819742883 +2020/12/17 01:00,0.403762707,0,0.081648,0,0.611331445,0.800688705 +2020/12/17 02:00,0.368638556,0,0.081348,0,0.614164306,0.802892562 +2020/12/17 03:00,0.347336305,0,0.081656,0,0.614164306,0.805004591 +2020/12/17 04:00,0.345576748,0,0.092214,0,0.614730878,0.773232323 +2020/12/17 05:00,0.333723895,0.009518279,0.345458,0.06,0.628895184,0.711891644 +2020/12/17 06:00,0.313048491,0.186790447,0.573794,0.646666667,0.637393768,0.69251607 +2020/12/17 07:00,0.263277875,0.484585821,0.775498,0.203333333,0.644192635,0.677134986 +2020/12/17 08:00,0.233473806,0.671452544,0.988954,0.203333333,0.656090652,0.664049587 +2020/12/17 09:00,0.237163029,0.774217185,1.00091,0.203333333,0.651558074,0.668044077 +2020/12/17 10:00,0.217333301,0.826649902,0.999264,0.193333333,0.649291785,0.668411387 +2020/12/17 11:00,0.229670499,0.835388196,0.97594,0,0.64815864,0.664830119 +2020/12/17 12:00,0.293879308,0.834106757,0.972138,0,0.649858357,0.669651056 +2020/12/17 13:00,0.361258485,0.799551693,0.900068,0,0.66572238,0.67979798 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03:00,0.299003703,0,0.075496,0,0.624362606,0.65610652 +2020/12/18 04:00,0.268021858,0,0.08559,0.003333333,0.627195467,0.637052342 +2020/12/18 05:00,0.249152295,0.008241269,0.235048,0.346666667,0.636260623,0.649816345 +2020/12/18 06:00,0.253253191,0.185775236,0.360938,0.351666667,0.64305949,0.618273646 +2020/12/18 07:00,0.256729676,0.4820131,0.76385,0.205,0.679886686,0.62405877 +2020/12/18 08:00,0.249032122,0.672790083,0.988658,0.201666667,0.659490085,0.667768595 +2020/12/18 09:00,0.237127708,0.793409249,1.001664,0.201666667,0.661756374,0.637465565 +2020/12/18 10:00,0.237456965,0.85459207,0.999928,0.201666667,0.662889518,0.660330579 +2020/12/18 11:00,0.247360665,0.881571682,0.999722,0.006666667,0.673087819,0.645500459 +2020/12/18 12:00,0.27829176,0.863474551,0.995776,0,0.66572238,0.639256198 +2020/12/18 13:00,0.35306806,0.830007529,0.992428,0,0.620963173,0.622589532 +2020/12/18 14:00,0.422770714,0.763220625,0.976382,0,0.546175637,0.627777778 +2020/12/18 15:00,0.493707168,0.670702577,0.939642,0,0.541076487,0.632506887 +2020/12/18 16:00,0.568703108,0.551427348,0.902654,0,0.560906516,0.624380165 +2020/12/18 17:00,0.603603966,0.364521256,0.896384,0.263333333,0.567705382,0.617906336 +2020/12/18 18:00,0.627956007,0.131949864,0.8698,0.405,0.599433428,0.620156107 +2020/12/18 19:00,0.623996801,0.007149782,0.801872,0.838333333,0.652124646,0.62405877 +2020/12/18 20:00,0.521456933,0,0.808158,0.358333333,0.661756374,0.631772268 +2020/12/18 21:00,0.463567345,0,0.79098,0,0.702549575,0.612350781 +2020/12/18 22:00,0.429878772,0,0.234508,0,0.645325779,0.601239669 +2020/12/18 23:00,0.328560119,0,0.121546,0,0.628895184,0.614370983 +2020/12/19 00:00,0.270819936,0,0.080278,0,0.620396601,0.581129477 +2020/12/19 01:00,0.238441489,0,0.079924,0,0.624362606,0.607621671 +2020/12/19 02:00,0.227675063,0,0.079156,0,0.624362606,0.612213039 +2020/12/19 03:00,0.20230683,0,0.078452,0,0.624362606,0.594811754 +2020/12/19 04:00,0.194586541,0,0.088702,0,0.631161473,0.620615243 +2020/12/19 05:00,0.201610153,0.008200916,0.375892,0.003333333,0.64305949,0.60922865 +2020/12/19 06:00,0.190421092,0.184108479,0.496834,0.68,0.650991501,0.587832874 +2020/12/19 07:00,0.146317272,0.483536162,0.666846,0.405,0.66572238,0.6184573 +2020/12/19 08:00,0.108073906,0.671602636,0.97976,0.405,0.688951841,0.622910927 +2020/12/19 09:00,0.103396911,0.786170888,0.997456,0.046666667,0.696883853,0.616253444 +2020/12/19 10:00,0.110859804,0.853012416,0.98522,0,0.695750708,0.627089073 +2020/12/19 11:00,0.139408555,0.856519642,0.96776,0,0.695750708,0.619513315 +2020/12/19 12:00,0.191424291,0.836067792,0.964654,0,0.69121813,0.608539945 +2020/12/19 13:00,0.237040826,0.781914187,0.938592,0,0.692917847,0.597291093 +2020/12/19 14:00,0.281701663,0.740725066,0.788326,0,0.687818697,0.596235078 +2020/12/19 15:00,0.355383822,0.633263291,0.7792,0,0.682152975,0.613728191 +2020/12/19 16:00,0.472489363,0.495059766,0.763184,0.003333333,0.684985836,0.596694215 +2020/12/19 17:00,0.561218292,0.331601947,0.897422,0.201666667,0.684419263,0.590541781 +2020/12/19 18:00,0.576177369,0.105241402,0.843616,0.415,0.652691218,0.597291093 +2020/12/19 19:00,0.508726737,0.004047557,0.797986,0.753333333,0.644759207,0.568181818 +2020/12/19 20:00,0.460407532,0,0.781074,0.49,0.658923513,0.562121212 +2020/12/19 21:00,0.474789698,0,0.730988,0.036666667,0.639660057,0.571808999 +2020/12/19 22:00,0.501518399,0,0.211982,0,0.633994334,0.542745638 +2020/12/19 23:00,0.453067654,0,0.106892,0,0.608498584,0.538337925 +2020/12/20 00:00,0.355262837,0,0.076816,0,0.605665722,0.55224977 +2020/12/20 01:00,0.304032284,0,0.076522,0,0.606232295,0.538980716 +2020/12/20 02:00,0.272931485,0,0.07627,0,0.605665722,0.547428834 +2020/12/20 03:00,0.238561256,0,0.006446,0,0.608498584,0.56322314 +2020/12/20 04:00,0.193994608,0,0,0,0.6101983,0.522359963 +2020/12/20 05:00,0.182875784,0.008271287,0.010094,0,0.62266289,0.556198347 +2020/12/20 06:00,0.187025805,0.182858535,0.135904,0.69,0.63796034,0.541184573 +2020/12/20 07:00,0.190250577,0.463901205,0.482412,0.411666667,0.645892351,0.530257117 +2020/12/20 08:00,0.194803745,0.65214582,0.6327,0.405,0.652124646,0.559274564 +2020/12/20 09:00,0.187115122,0.769199691,0.799968,0.006666667,0.664022663,0.557438017 +2020/12/20 10:00,0.225766102,0.832560566,0.824284,0,0.661756374,0.563177227 +2020/12/20 11:00,0.240144207,0.842751059,0.784384,0,0.659490085,0.554958678 +2020/12/20 12:00,0.283315064,0.822441427,0.72573,0,0.655524079,0.549816345 +2020/12/20 13:00,0.321497126,0.738758618,0.654156,0,0.661756374,0.543709826 +2020/12/20 14:00,0.401854558,0.68095606,0.717278,0,0.658923513,0.545408632 +2020/12/20 15:00,0.546815015,0.56258335,0.671866,0,0.658356941,0.538200184 +2020/12/20 16:00,0.556085371,0.448676978,0.800172,0,0.661756374,0.502066116 +2020/12/20 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color: #999999; +} + +.wy-menu-vertical a.reference:hover, +.wy-menu-vertical a.reference.internal:hover { + background: #dddddd; + color: #fff; +} + +.wy-nav-side { + background: #efefef; +} + +.wy-menu-vertical a.reference { + color: #000; +} + +.rst-versions .rst-current-version, +.wy-nav-top, +.wy-menu-vertical li.toctree-l2.current li.toctree-l3>a:hover { + background: #002221; +} + +.wy-nav-content .highlight { + background: #ffffff; +} + +.rst-content code.literal, +.rst-content tt.literal { + color: rgb(34, 97, 156) +} + +.wy-nav-content a.reference { + color: rgb(34, 97, 156); +} + + +/* override table width restrictions */ + +@media screen and (min-width: 767px) { + .wy-table-responsive table td { + /* !important prevents the common CSS stylesheets from overriding + this as on RTD they are loaded after this stylesheet */ + white-space: normal !important; + background: rgb(250, 250, 250) !important; + } + .wy-table-responsive { + max-width: 100%; + overflow: visible !important; + } + .wy-nav-content { + max-width: 910px !important; + } +} diff --git a/docs/api_reference.rst b/docs/api_reference.rst new file mode 100644 index 0000000..a3d44d0 --- /dev/null +++ b/docs/api_reference.rst @@ -0,0 +1,99 @@ +.. _api: + +######################### +API Reference (automated) +######################### + +_helpers +------------------------------- + +.. automodule:: _helpers + :members: + +add_electricity +------------------------------- + +.. automodule:: add_electricity + :members: + +base_network +------------------------------- + +.. automodule:: base_network + :members: + + +build_cutout +------------------------------- + +.. automodule:: build_cutout + :members: + +.. + build_inflow_per_country + ------------------------------- + + .. automodule:: build_inflow_per_country + :members: + +build_natura_raster +------------------------------- + +.. automodule:: build_natura_raster + :members: + +build_renewable_profiles +------------------------------- + +.. automodule:: build_renewable_profiles + :members: + +build_topology +------------------------------- + +.. automodule:: build_topology + :members: + +.. + extract_summaries + ------------------------------- + + .. automodule:: extract_summaries + :members: + +.. + make_summary + ------------------------------- + + .. automodule:: make_summary + :members: + + plot_comparisons + ------------------------------- + + .. automodule:: plot_comparisons + :members: + +plot_network +------------------------------- + +.. automodule:: plot_network + :members: + +prepare_network +------------------------------- + +.. automodule:: prepare_network + :members: +.. + scenario_comparison + ------------------------------- + + .. automodule:: scenario_comparison + :members: + +solve_network +------------------------------- + +.. automodule:: solve_network + :members: \ No newline at end of file diff --git a/docs/archive/Makefile b/docs/archive/Makefile new file mode 100644 index 0000000..26b9422 --- /dev/null +++ b/docs/archive/Makefile @@ -0,0 +1,20 @@ +# Minimal makefile for Sphinx documentation +# + +# You can set these variables from the command line, and also +# from the environment for the first two. +SPHINXOPTS ?= +SPHINXBUILD ?= sphinx-build +SOURCEDIR = source +BUILDDIR = build + +# Put it first so that "make" without argument is like "make help". +help: + @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) + +.PHONY: help Makefile + +# Catch-all target: route all unknown targets to Sphinx using the new +# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). +%: Makefile + @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) diff --git a/docs/archive/_static/theme_overrides.css b/docs/archive/_static/theme_overrides.css new file mode 100644 index 0000000..08e86d7 --- /dev/null +++ b/docs/archive/_static/theme_overrides.css @@ -0,0 +1,74 @@ +/* SPDX-FileCopyrightText: 2017-2022 The PyPSA-Eur Authors + SPDX-License-Identifier: MIT +*/ + +.wy-side-nav-search { + background-color: #eeeeee; +} + +.wy-side-nav-search .wy-dropdown>a, +.wy-side-nav-search>a { + color: rgb(34, 97, 156) +} + +.wy-side-nav-search>div.version { + color: rgb(34, 97, 156) +} + +.wy-menu-vertical header, +.wy-menu-vertical p.caption, +.rst-versions a { + color: #999999; +} + +.wy-menu-vertical a.reference:hover, +.wy-menu-vertical a.reference.internal:hover { + background: #dddddd; + color: #fff; +} + +.wy-nav-side { + background: #efefef; +} + +.wy-menu-vertical a.reference { + color: #000; +} + +.rst-versions .rst-current-version, +.wy-nav-top, +.wy-menu-vertical li.toctree-l2.current li.toctree-l3>a:hover { + background: #002221; +} + +.wy-nav-content .highlight { + background: #ffffff; +} + +.rst-content code.literal, +.rst-content tt.literal { + color: rgb(34, 97, 156) +} + +.wy-nav-content a.reference { + color: rgb(34, 97, 156); +} + + +/* override table width restrictions */ + +@media screen and (min-width: 767px) { + .wy-table-responsive table td { + /* !important prevents the common CSS stylesheets from overriding + this as on RTD they are loaded after this stylesheet */ + white-space: normal !important; + background: rgb(250, 250, 250) !important; + } + .wy-table-responsive { + max-width: 100%; + overflow: visible !important; + } + .wy-nav-content { + max-width: 910px !important; + } +} diff --git a/docs/archive/api_reference.rst b/docs/archive/api_reference.rst new file mode 100644 index 0000000..a3d44d0 --- /dev/null +++ b/docs/archive/api_reference.rst @@ -0,0 +1,99 @@ +.. _api: + +######################### +API Reference (automated) +######################### + +_helpers +------------------------------- + +.. automodule:: _helpers + :members: + +add_electricity +------------------------------- + +.. automodule:: add_electricity + :members: + +base_network +------------------------------- + +.. automodule:: base_network + :members: + + +build_cutout +------------------------------- + +.. automodule:: build_cutout + :members: + +.. + build_inflow_per_country + ------------------------------- + + .. automodule:: build_inflow_per_country + :members: + +build_natura_raster +------------------------------- + +.. automodule:: build_natura_raster + :members: + +build_renewable_profiles +------------------------------- + +.. automodule:: build_renewable_profiles + :members: + +build_topology +------------------------------- + +.. automodule:: build_topology + :members: + +.. + extract_summaries + ------------------------------- + + .. automodule:: extract_summaries + :members: + +.. + make_summary + ------------------------------- + + .. automodule:: make_summary + :members: + + plot_comparisons + ------------------------------- + + .. automodule:: plot_comparisons + :members: + +plot_network +------------------------------- + +.. automodule:: plot_network + :members: + +prepare_network +------------------------------- + +.. automodule:: prepare_network + :members: +.. + scenario_comparison + ------------------------------- + + .. automodule:: scenario_comparison + :members: + +solve_network +------------------------------- + +.. automodule:: solve_network + :members: \ No newline at end of file diff --git a/docs/archive/conf.py b/docs/archive/conf.py new file mode 100644 index 0000000..80ebade --- /dev/null +++ b/docs/archive/conf.py @@ -0,0 +1,328 @@ +# -*- coding: utf-8 -*- +# SPDX-FileCopyrightText: 20017-2020 The PyPSA-Eur Authors +# +# SPDX-License-Identifier: MIT + +# -*- coding: utf-8 -*- +# +# PyPSA documentation build configuration file, created by +# sphinx-quickstart on Tue Jan 5 10:04:42 2016. +# +# This file is execfile()d with the current directory set to its +# containing dir. +# +# Note that not all possible configuration values are present in this +# autogenerated file. +# +# All configuration values have a default; values that are commented out +# serve to show the default. + +import os +import shlex +import sys +import datetime + +# If extensions (or modules to document with autodoc) are in another directory, +# add these directories to sys.path here. If the directory is relative to the +# documentation root, use os.path.abspath to make it absolute, like shown here. +sys.path.insert(0, os.path.abspath("../scripts")) + +# -- General configuration ------------------------------------------------ + +# If your documentation needs a minimal Sphinx version, state it here. +# needs_sphinx = '1.0' + +# Add any Sphinx extension module names here, as strings. They can be +# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom +# ones. +extensions = [ + #'sphinx.ext.autodoc', + #'sphinx.ext.autosummary', + "sphinx.ext.intersphinx", + "sphinx.ext.todo", + "sphinx.ext.mathjax", + "sphinx.ext.napoleon", + "sphinx.ext.graphviz", + #'sphinx.ext.pngmath', + #'sphinxcontrib.tikz', + #'rinoh.frontend.sphinx', + "sphinx.ext.imgconverter", # for SVG conversion +] +numfig = True # optional + +autodoc_default_flags = ["members"] +autosummary_generate = True + +# Add any paths that contain templates here, relative to this directory. +templates_path = ["_templates"] + +# The suffix(es) of source filenames. +# You can specify multiple suffix as a list of string: +# source_suffix = ['.rst', '.md'] +source_suffix = ".rst" + +# The encoding of source files. +# source_encoding = 'utf-8-sig' + +# The master toctree document. +master_doc = "index" + +# General information about the project. +project = "PyPSA-ZA" +author = "Meridian Economics" +copyright = f"{datetime.datetime.today().year}, {author}" + + +# The version info for the project you're documenting, acts as replacement for +# |version| and |release|, also used in various other places throughout the +# built documents. +# +# The short X.Y version. +#version = "0.6" +# The full version, including alpha/beta/rc tags. +#release = "0.6.1" + +# The language for content autogenerated by Sphinx. Refer to documentation +# for a list of supported languages. +# +# This is also used if you do content translation via gettext catalogs. +# Usually you set "language" from the command line for these cases. +language = "en_GB" + +# There are two options for replacing |today|: either, you set today to some +# non-false value, then it is used: +# today = '' +# Else, today_fmt is used as the format for a strftime call. +# today_fmt = '%B %d, %Y' + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +exclude_patterns = ["_build"] + +# The reST default role (used for this markup: `text`) to use for all +# documents. +# default_role = None + +# If true, '()' will be appended to :func: etc. cross-reference text. +# add_function_parentheses = True + +# If true, the current module name will be prepended to all description +# unit titles (such as .. function::). +# add_module_names = True + +# If true, sectionauthor and moduleauthor directives will be shown in the +# output. They are ignored by default. +# show_authors = False + +# The name of the Pygments (syntax highlighting) style to use. +pygments_style = "sphinx" + +# A list of ignored prefixes for module index sorting. +# modindex_common_prefix = [] + +# If true, keep warnings as "system message" paragraphs in the built documents. +# keep_warnings = False + +# If true, `todo` and `todoList` produce output, else they produce nothing. +todo_include_todos = True + + +# -- Options for HTML output ---------------------------------------------- + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +html_theme = "sphinx_rtd_theme" + +# Theme options are theme-specific and customize the look and feel of a theme +# further. For a list of options available for each theme, see the +# documentation. +html_theme_options = { + "display_version": True, + "sticky_navigation": True, +} + + +# Add any paths that contain custom themes here, relative to this directory. +# html_theme_path = [] + +# The name for this set of Sphinx documents. If None, it defaults to +# " v documentation". +# html_title = None + +# A shorter title for the navigation bar. Default is the same as html_title. +# html_short_title = None + +# The name of an image file (relative to this directory) to place at the top +# of the sidebar. +# html_logo = None + +# The name of an image file (within the static ) to use as favicon of the +# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 +# pixels large. +# html_favicon = None + +# These folders are copied to the documentation's HTML output +html_static_path = ["_static"] + +# These paths are either relative to html_static_path +# or fully qualified paths (eg. https://...) +html_css_files = ["theme_overrides.css"] + +# Add any extra paths that contain custom files (such as robots.txt or +# .htaccess) here, relative to this directory. These files are copied +# directly to the root of the documentation. +# html_extra_path = [] + +# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, +# using the given strftime format. +# html_last_updated_fmt = '%b %d, %Y' + +# If true, SmartyPants will be used to convert quotes and dashes to +# typographically correct entities. +# html_use_smartypants = True + +# Custom sidebar templates, maps document names to template names. +# html_sidebars = {} + +# Additional templates that should be rendered to pages, maps page names to +# template names. +# html_additional_pages = {} + +# If false, no module index is generated. +# html_domain_indices = True + +# If false, no index is generated. +# html_use_index = True + +# If true, the index is split into individual pages for each letter. +# html_split_index = False + +# If true, links to the reST sources are added to the pages. +# html_show_sourcelink = True + +# If true, "Created using Sphinx" is shown in the HTML footer. Default is True. +# html_show_sphinx = True + +# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. +# html_show_copyright = True + +# If true, an OpenSearch description file will be output, and all pages will +# contain a tag referring to it. The value of this option must be the +# base URL from which the finished HTML is served. +# html_use_opensearch = '' + +# This is the file name suffix for HTML files (e.g. ".xhtml"). +# html_file_suffix = None + +# Language to be used for generating the HTML full-text search index. +# Sphinx supports the following languages: +# 'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja' +# 'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr' +# html_search_language = 'en' + +# A dictionary with options for the search language support, empty by default. +# Now only 'ja' uses this config value +# html_search_options = {'type': 'default'} + +# The name of a javascript file (relative to the configuration directory) that +# implements a search results scorer. If empty, the default will be used. +# html_search_scorer = 'scorer.js' + +# Output file base name for HTML help builder. +htmlhelp_basename = "PyPSAZadoc" + +# -- Options for LaTeX output --------------------------------------------- + +latex_elements = { + # The paper size ('letterpaper' or 'a4paper'). + #'papersize': 'letterpaper', + # The font size ('10pt', '11pt' or '12pt'). + #'pointsize': '10pt', + # Additional stuff for the LaTeX preamble. + #'preamble': '', + # Latex figure (float) alignment + #'figure_align': 'htbp', +} + +# Grouping the document tree into LaTeX files. List of tuples +# (source start file, target name, title, +# author, documentclass [howto, manual, or own class]). +latex_documents = [ + (master_doc, "PyPSA-ZA.tex", "PyPSA-ZA Documentation", "author", "manual"), +] + + +# Added for rinoh http://www.mos6581.org/rinohtype/quickstart.html +rinoh_documents = [ + ( + master_doc, # top-level file (index.rst) + "PyPSA-ZA", # output (target.pdf) + "PyPSA-ZA Documentation", # document title + "author", + ) +] # document author + + +# The name of an image file (relative to this directory) to place at the top of +# the title page. +# latex_logo = None + +# For "manual" documents, if this is true, then toplevel headings are parts, +# not chapters. +# latex_use_parts = False + +# If true, show page references after internal links. +# latex_show_pagerefs = False + +# If true, show URL addresses after external links. +# latex_show_urls = False + +# Documents to append as an appendix to all manuals. +# latex_appendices = [] + +# If false, no module index is generated. +# latex_domain_indices = True + + +# -- Options for manual page output --------------------------------------- + +# One entry per manual page. List of tuples +# (source start file, name, description, authors, manual section). +man_pages = [(master_doc, "pypsa-za", "PyPSA-ZA Documentation", [author], 1)] + +# If true, show URL addresses after external links. +# man_show_urls = False + + +# -- Options for Texinfo output ------------------------------------------- + +# Grouping the document tree into Texinfo files. List of tuples +# (source start file, target name, title, author, +# dir menu entry, description, category) +texinfo_documents = [ + ( + master_doc, + "PyPSA-ZA", + "PyPSA-ZA Documentation", + author, + "PyPSA-ZA", + "One line description of project.", + "Miscellaneous", + ), +] + +# Documents to append as an appendix to all manuals. +# texinfo_appendices = [] + +# If false, no module index is generated. +# texinfo_domain_indices = True + +# How to display URL addresses: 'footnote', 'no', or 'inline'. +# texinfo_show_urls = 'footnote' + +# If true, do not generate a @detailmenu in the "Top" node's menu. +# texinfo_no_detailmenu = False + + +# Example configuration for intersphinx: refer to the Python standard library. +intersphinx_mapping = {"https://docs.python.org/": None} diff --git a/docs/archive/configtables/atlite.csv b/docs/archive/configtables/atlite.csv new file mode 100644 index 0000000..2475c81 --- /dev/null +++ b/docs/archive/configtables/atlite.csv @@ -0,0 +1,9 @@ +,Unit,Values,Description +nprocesses,--,int,"Number of parallel processes in cutout preparation" +cutouts,,, +-- {name},--,"Convention is to name cutouts like ``--`` (e.g. ``europe-2013-era5``).","Name of the cutout netcdf file. The user may specify multiple cutouts under configuration ``atlite: cutouts:``. Reference is used in configuration ``renewable: {technology}: cutout:``. The cutout ``base`` may be used to automatically calculate temporal and spatial bounds of the network." +-- -- module,--,"Subset of {'era5','sarah'}","Source of the reanalysis weather dataset (e.g. `ERA5 `_ or `SARAH-2 `_)" +-- -- x,°,"Float interval within [-180, 180]","Range of longitudes to download weather data for. If not defined, it defaults to the spatial bounds of all bus shapes." +-- -- y,°,"Float interval within [-90, 90]","Range of latitudes to download weather data for. If not defined, it defaults to the spatial bounds of all bus shapes." +-- -- time,,"Time interval within ['1979', '2018'] (with valid pandas date time strings)","Time span to download weather data for. If not defined, it defaults to the time interval spanned by the snapshots." +-- -- features,,"String or list of strings with valid cutout features ('inlfux', 'wind').","When freshly building a cutout, retrieve data only for those features. If not defined, it defaults to all available features." \ No newline at end of file diff --git a/docs/archive/configtables/costs.csv b/docs/archive/configtables/costs.csv new file mode 100644 index 0000000..7c72771 --- /dev/null +++ b/docs/archive/configtables/costs.csv @@ -0,0 +1,9 @@ +,Unit,Values,Description +year,--,"YYYY; e.g. '2030'","Year for which to retrieve cost assumptions of ``resources/costs.csv``." +version,--,"vX.X.X; e.g. 'v0.1.0'","Version of ``technology-data`` repository to use." +rooftop_share,--,float,"Share of rooftop PV when calculating capital cost of solar (joint rooftop and utility-scale PV)." +fill_values,--,float,"Default values if not specified for a technology in ``resources/costs.csv``." +capital_cost,EUR/MW,"Keys should be in the 'technology' column of ``resources/costs.csv``. Values can be any float.","For the given technologies, assumptions about their capital investment costs are set to the corresponding value. Optional; overwrites cost assumptions from ``resources/costs.csv``." +marginal_cost,EUR/MWh,"Keys should be in the 'technology' column of ``resources/costs.csv``. Values can be any float.","For the given technologies, assumptions about their marginal operating costs are set to the corresponding value. Optional; overwrites cost assumptions from ``resources/costs.csv``." +emission_prices,,,"Specify exogenous prices for emission types listed in ``network.carriers`` to marginal costs." +-- co2,EUR/t,float,"Exogenous price of carbon-dioxide added to the marginal costs of fossil-fuelled generators according to their carbon intensity. Added through the keyword ``Ep`` in the ``{opts}`` wildcard only in the rule :mod:`prepare_network``." \ No newline at end of file diff --git a/docs/archive/configtables/electricity.csv b/docs/archive/configtables/electricity.csv new file mode 100644 index 0000000..f160014 --- /dev/null +++ b/docs/archive/configtables/electricity.csv @@ -0,0 +1,29 @@ +,Unit,Values,Description +voltages,kV,"Any subset of {220., 300., 380.}",Voltage levels to consider +gaslimit,MWhth,"float or false",Global gas usage limit +co2limit,:math:`t_{CO_2-eq}/a`,float,Cap on total annual system carbon dioxide emissions +co2base,:math:`t_{CO_2-eq}/a`,float,Reference value of total annual system carbon dioxide emissions if relative emission reduction target is specified in ``{opts}`` wildcard. +agg_p_nom_limits,file,path,Reference to ``.csv`` file specifying per carrier generator nominal capacity constraints for individual countries if ``'CCL'`` is in ``{opts}`` wildcard. Defaults to ``data/agg_p_nom_minmax.csv``. +operational_reserve,,,"Settings for reserve requirements following like `GenX `_" +-- activate,bool,"true or false","Whether to take operational reserve requirements into account during optimisation" +-- epsilon_load,--,float,share of total load +-- epsilon_vres,--,float,share of total renewable supply +-- contingency,MW,float,fixed reserve capacity +max_hours,,, +-- battery,h,float,Maximum state of charge capacity of the battery in terms of hours at full output capacity ``p_nom``. Cf. `PyPSA documentation `_. +-- H2,h,float,Maximum state of charge capacity of the hydrogen storage in terms of hours at full output capacity ``p_nom``. Cf. `PyPSA documentation `_. +extendable_carriers,,, +-- Generator,--,"Any extendable carrier","Defines existing or non-existing conventional and renewable power plants to be extendable during the optimization. Conventional generators can only be built/expanded where already existent today. If a listed conventional carrier is not included in the ``conventional_carriers`` list, the lower limit of the capacity expansion is set to 0." +-- StorageUnit,--,"Any subset of {'battery','H2'}",Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity. +-- Store,--,"Any subset of {'battery','H2'}",Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity. +-- Link,--,Any subset of {'H2 pipeline'},Adds extendable links (H2 pipelines only) at every connection where there are lines or HVDC links without capacity limits and with zero initial capacity. Hydrogen pipelines require hydrogen storage to be modelled as ``Store``. +powerplants_filter,--,"use `pandas.query `_ strings here, e.g. Country not in ['Germany']",Filter query for the default powerplant database. +custom_powerplants,--,"use `pandas.query `_ strings here, e.g. Country in ['Germany']",Filter query for the custom powerplant database. +conventional_carriers,--,"Any subset of {nuclear, oil, OCGT, CCGT, coal, lignite, geothermal, biomass}","List of conventional power plants to include in the model from ``resources/powerplants.csv``. If an included carrier is also listed in `extendable_carriers`, the capacity is taken as a lower bound." +renewable_carriers,--,"Any subset of {solar, onwind, offwind-ac, offwind-dc, hydro}",List of renewable generators to include in the model. +estimate_renewable_capacities,,, +-- enable,,bool,"Activate routine to estimate renewable capacities" +-- from_opsd,--,bool,"Add capacities from OPSD data" +-- year,--,bool,"Renewable capacities are based on existing capacities reported by IRENA for the specified year" +-- expansion_limit,--,float or false,"Artificially limit maximum capacities to factor * (IRENA capacities), i.e. 110% of 's capacities => expansion_limit: 1.1 false: Use estimated renewable potentials determine by the workflow" +-- technology_mapping,,,"Mapping between powerplantmatching and PyPSA-Eur technology names" diff --git a/docs/archive/configtables/existing_eskom.csv b/docs/archive/configtables/existing_eskom.csv new file mode 100644 index 0000000..ff837e5 --- /dev/null +++ b/docs/archive/configtables/existing_eskom.csv @@ -0,0 +1,42 @@ +Scenario,Power Station Name,Carrier,Type,Status,Capacity (MW),Unit size (MW),Number units,Future Commissioning Date,Decommissioning Date,Heat Rate (GJ/MWh),Fuel Price (R/GJ),Max Ramp Up (MW/min),Max Ramp Down (MW/min),Min Stable Level (%),Variable O&M Cost (R/MWh),Fixed O&M Cost (R/kW/yr),Pump Efficiency (%),Pump Units,Pump Load per unit (MW),Pumped Storage - Max Storage (GWh),CSP Storage (hours),Diesel Storage (Ml),Gas storage (MCM),GPS Latitude,GPS Longitude +base,Arnot*,coal,Generator,Existing,1116,372,3,-,2027,13.397,25.9,2.1,2.1,30%,98,1133,-,-,-,-,-,,,-25.94444,29.79166 +base,Arnot**,coal,Generator,Existing,1116,372,3,-,2030,13.397,25.9,2.1,2.1,30%,98,1133,-,-,-,-,-,0,0,-25.94444,29.79166 +base,Camden*,coal,Generator,Existing,740,370,2,-,2022,14,32,1,1,30%,98,1133,-,-,-,-,-,,,-26.62007,30.09113 +base,Camden**,coal,Generator,Existing,370,370,1,-,2024,14,32,1,1,30%,98,1133,-,-,-,-,-,,,-26.62007,30.09113 +base,Duvha*,coal,Generator,Existing,1150,575,2,-,2032,12.685,18,3.3,3.3,30%,98,1133,-,-,-,-,-,,,-25.95954,29.34094 +base,Duvha**,coal,Generator,Existing,1725,575,3,,2035,12.685,18,3.3,3.3,30%,98,1133,-,-,-,-,-,0,0,-25.95954,29.34094 +base,Grootvlei*,coal,Generator,Existing,286,143,2,-,2019,14.497,29.8,0.9,0.9,30%,98,1133,-,-,-,-,-,,,-26.76955,28.49951 +base,Grootvlei**,coal,Generator,Existing,286,143,2,,2020,14.497,29.8,0.9,0.9,30%,98,1133,-,-,-,-,-,0,0,-26.76955,28.49951 +base,Hendrina*,coal,Generator,Existing,440,110,4,-,2021,13.946,28.7,1.1,1.1,30%,98,1133,-,-,-,-,-,,,-26.03138,29.60138 +base,Hendrina**,coal,Generator,Existing,440,110,4,,2023,13.946,28.7,1.1,1.1,30%,98,1133,-,-,-,-,-,0,0,-26.03138,29.60138 +base,Kendal*,coal,Generator,Existing,1920,640,3,-,2041,12.385,24.3,1.8,1.8,30%,98,1133,-,-,-,-,-,,,-26.08805,28.96888 +base,Kendal**,coal,Generator,Existing,1920,640,3,,2044,12.385,24.3,1.8,1.8,30%,98,1133,-,-,-,-,-,0,0,-26.08805,28.96888 +base,Komati,coal,Generator,Existing,114,114,1,-,2022,15.898,34.7,0.5,0.5,30%,98,1133,-,-,-,-,-,,,-26.09078,29.47446 +base,Kriel*,coal,Generator,Existing,1425,475,3,-,2024,12.925,28.6,3.6,3.6,30%,98,1133,-,-,-,-,-,,,-26.25404,29.18008 +base,Kriel**,coal,Generator,Existing,1425,475,3,,2028,12.925,28.6,3.6,3.6,30%,98,1133,-,-,-,-,-,0,0,-26.25404,29.18008 +base,Kusile*,coal,Generator,Existing,2880,720,4,-,beyond 2050,9.812,31.6,7.2,7.2,30%,98,1133,-,-,-,-,-,,,-25.5459,28.5502 +base,Kusile**,coal,Generator,Existing,720,720,1,2023,beyond 2050,9.812,31.6,7.2,7.2,30%,98,1133,-,-,-,-,-,0,0,-25.5459,28.5502 +base,Kusile***,coal,Generator,Existing,720,720,1,2024,beyond 2050,9.812,31.6,7.2,7.2,30%,98,1133,-,-,-,-,-,0,0,-25.5459,28.5502 +base,Lethabo*,coal,Generator,Existing,1779,593,3,-,2039,11.566,14.4,5.9,5.9,30%,98,1133,-,-,-,-,-,,,-26.74027,27.975 +base,Lethabo**,coal,Generator,Existing,1779,593,3,,2042,11.566,14.4,5.9,5.9,30%,98,1133,-,-,-,-,-,0,0,-26.74027,27.975 +base,Majuba*,coal,Generator,Existing,1833,611,3,-,2031,12.385,32.1,1.7,1.7,30%,98,1133,-,-,-,-,-,,,-27.09555,29.77055 +base,Majuba**,coal,Generator,Existing,2010,670,3,-,2050,11.597,32.1,1.9,1.9,30%,98,1133,-,-,-,-,-,,,-27.09555,29.77055 +base,Matimba*,coal,Generator,Existing,1845,615,3,-,2040,12.281,17.5,3,3,30%,98,1133,-,-,-,-,-,,,-23.66777,27.61277 +base,Matimba**,coal,Generator,Existing,1845,615,3,,2043,12.281,17.5,3,3,30%,98,1133,-,-,-,-,-,0,0,-23.66777,27.61277 +base,Matla*,coal,Generator,Existing,1725,575,3,-,2032,12.685,30.2,2.4,2.4,30%,98,1133,-,-,-,-,-,,,-26.28036,29.14229 +base,Matla**,coal,Generator,Existing,1725,575,3,,2034,12.685,30.2,2.4,2.4,30%,98,1133,-,-,-,-,-,0,0,-26.28036,29.14229 +base,Medupi*,coal,Generator,Existing,3615,723,5,-,beyond 2050,9.812,21.4,7.2,7.2,30%,98,1133,-,-,-,-,-,,,-23.42,27.33 +base,Medupi**,coal,Generator,Existing,723,723,1,,beyond 2050,9.812,21.4,7.2,7.2,30%,98,1133,-,-,-,-,-,0,0,-23.42,27.33 +base,Tutuka*,coal,Generator,Existing,1755,585,3,-,2040,11.506,32.3,3.2,3.2,30%,98,1133,-,-,-,-,-,,,-26.77565,29.35212 +base,Tutuka**,coal,Generator,Existing,1755,585,3,,2042,11.506,32.3,3.2,3.2,30%,98,1133,-,-,-,-,-,0,0,-26.77565,29.35212 +base,Sere,onwind,Generator,Existing,100,2,50,-,2034,-,-,-,-,30%,737,0,-,-,-,-,-,,,-31.5018,18.1143 +base,Koeberg,nuclear,Generator,Existing,1854,930,2,-,2047,11.111,8.5,-,-,30%,45,1187,-,-,-,-,-,,,-33.67366,18.42811 +base,Drakensberg,PHS,StorageUnit,Existing,1000,250,4,-,beyond 2050,-,-,-,-,30%,0.0001,222,73.7%,4,250,21.7,-,,,-28.56283,29.08275 +base,Ingula,PHS,StorageUnit,Existing,1332,333,4,-,beyond 2050,-,-,-,-,30%,0.0002,2796,78.0%,4,333,27.4,-,,,-28.165,29.3512 +base,Palmiet,PHS,StorageUnit,Existing,400,200,2,-,beyond 2050,-,-,-,-,30%,0.0003,222,77.9%,2,200,10,-,,,-34.19722,18.97361 +base,Gariep,hydro,Generator,Existing,360,90,4,-,beyond 2050,-,-,-,-,30%,350,0,-,-,-,-,-,,,-30.62396,25.50403 +base,Vanderkloof,hydro,Generator,Existing,240,120,2,-,beyond 2050,-,-,-,-,30%,350,0,-,-,-,-,-,,,-29.99337,24.73384 +base,Acacia,diesel,Generator,Existing,171,57,3,-,2026,11.519,284.4,3.4,3.4,30%,3,196,-,-,-,-,-,,,-33.88408,18.53361 +base,Ankerlig,diesel,Generator,Existing,1332,148,9,-,2039,11.519,263.4,9,9,30%,3,196,-,-,-,-,-,,,-33.592,18.4607 +base,Gourikwa,diesel,Generator,Existing,740,148,5,-,2038,11.519,263.4,9,9,30%,3,196,-,-,-,-,-,,,-34.16526,21.96077 +base,PortRex,diesel,Generator,Existing,171,57,3,-,2026,11.519,284.4,3.4,3.4,30%,3,196,-,-,-,-,-,,,-33.02739,27.88382 diff --git a/docs/archive/configtables/existing_non_eskom.csv b/docs/archive/configtables/existing_non_eskom.csv new file mode 100644 index 0000000..3d217c8 --- /dev/null +++ b/docs/archive/configtables/existing_non_eskom.csv @@ -0,0 +1,104 @@ +,Power Station Name,Grouping,Carrier,Type,Status,Capacity (MW),Unit size (MW),Number units,Future Commissioning Date,Decommissioning Date,Heat Rate (GJ/MWh),Fuel Price (R/GJ),Max Ramp Up (MW/min),Max Ramp Down (MW/min),Min Stable Level (%),Variable O&M Cost (R/MWh),Fixed O&M Cost (R/kW/yr),Pump Efficiency (%),Pump Units,Pump Load per unit (MW),Pumped Storage - Max Storage (GWh),CSP Storage (hours),GPS Latitude,GPS Longitude +base,Aries Solar Energy Facility,REIPPPP_BW1,solar,Generator,Existing,9.65,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-29.35015,21.15396 +base,Cookhouse Wind Farm,REIPPPP_BW1,onwind,Generator,Existing,135.8,-,-,-,2034,-,-,-,-,0%,1513,0,-,-,-,-,-,-32.74606365,25.80701715 +base,Dassieklip Wind Energy Facility,REIPPPP_BW1,onwind,Generator,Existing,27,-,-,-,2034,-,-,-,-,0%,1513,0,-,-,-,-,-,-34.23237,19.42878 +base,De Aar Solar Power,REIPPPP_BW1,solar,Generator,Existing,45.6,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-30.65995,24.01981 +base,Dorper Wind Farm,REIPPPP_BW1,onwind,Generator,Existing,97.53,-,-,-,2034,-,-,-,-,0%,1513,0,-,-,-,-,-,-31.39628175,26.35379497 +base,Greefspan PV Power Plant,REIPPPP_BW1,solar,Generator,Existing,9.9,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-29.11513585,23.7490966 +base,Herbert PV Power Plant,REIPPPP_BW1,solar,Generator,Existing,19.9,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-29.11513585,23.7490966 +base,Jeffreys Bay Wind Farm,REIPPPP_BW1,onwind,Generator,Existing,135.11,-,-,-,2034,-,-,-,-,0%,1513,0,-,-,-,-,-,-34.05048675,24.90607333 +base,Kalkbult,REIPPPP_BW1,solar,Generator,Existing,72.4,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-30.43789782,24.47044094 +base,Kaxu Solar One,REIPPPP_BW1,CSP,Generator,Existing,100,-,-,-,2045,-,-,-,-,0%,3554,0,-,-,-,-,3,-28.5252,19.3535 +base,Khi Solar One,REIPPPP_BW1,CSP,Generator,Existing,50,,,-,2045,-,-,-,-,0%,3554,0,-,-,-,-,6,-28.3214,21.439 +base,Konkoonsies Solar Energy Facility,REIPPPP_BW1,solar,Generator,Existing,9.65,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-29.16209115,19.38626431 +base,Kouga Wind Farm,REIPPPP_BW1,onwind,Generator,Existing,77.7,-,-,-,2034,-,-,-,-,0%,1513,0,-,-,-,-,-,-34.00160661,24.74162863 +base,Lesedi Power Company,REIPPPP_BW1,solar,Generator,Existing,64,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-28.30952211,23.10406337 +base,Letsatsi Power Company,REIPPPP_BW1,solar,Generator,Existing,64,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-29.11213617,26.21566471 +base,Metrowind Van Stadens Wind Farm,REIPPPP_BW1,onwind,Generator,Existing,27,-,-,-,2034,-,-,-,-,0%,1513,0,-,-,-,-,-,-33.80478499,25.49049171 +base,Mulilo Renewable Energy Solar PV De Aar,REIPPPP_BW1,solar,Generator,Existing,10,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-30.65995,24.01981 +base,Mulilo Renewable Energy Solar PV Prieska,REIPPPP_BW1,solar,Generator,Existing,19.12,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-29.96469912,22.33943836 +base,Nobelsfontein Phase 1,REIPPPP_BW1,onwind,Generator,Existing,73.8,-,-,-,2034,-,-,-,-,0%,1513,0,-,-,-,-,-,-31.42224223,23.11492014 +base,REISA,REIPPPP_BW1,solar,Generator,Existing,75,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-27.75808649,23.01589583 +base,RustMo1 Solar Farm,REIPPPP_BW1,solar,Generator,Existing,6.93,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-25.65326661,27.24975906 +base,Droogfontein Solar Power,REIPPPP_BW1,solar,Generator,Existing,45.4,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-28.72506215,24.751701 +base,Slimsun Swartland Solar Park,REIPPPP_BW1,solar,Generator,Existing,5,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-33.4578,18.72332 +base,Solar Capital De Aar,REIPPPP_BW1,solar,Generator,Existing,75,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-30.65995,24.01981 +base,Soutpan Solar Park,REIPPPP_BW1,solar,Generator,Existing,27.94,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-23.36940101,29.32179917 +base,Touwsrivier Project,REIPPPP_BW1,solar,Generator,Existing,36,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-33.33942927,20.02925811 +base,Umoya Energy Wind Farm,REIPPPP_BW1,onwind,Generator,Existing,65.4,-,-,-,2034,-,-,-,-,0%,1513,0,-,-,-,-,-,-33.02855397,18.30753655 +base,Witkop Solar Park,REIPPPP_BW1,solar,Generator,Existing,29.68,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-23.90234452,29.45076171 +base,Amakhala Emoyeni,REIPPPP_BW2,onwind,Generator,Existing,131.05,-,-,-,2037,-,-,-,-,0%,1186,0,-,-,-,-,-,-32.68783624,26.10644083 +base,Aurora Wind Power,REIPPPP_BW2,onwind,Generator,Existing,90.82,-,-,-,2037,-,-,-,-,0%,1186,0,-,-,-,-,-,-32.90788192,17.99584671 +base,Aurora_Rietvlei Solar Power,REIPPPP_BW2,solar,Generator,Existing,8.9,-,-,-,2042,-,-,-,-,0%,2176,0,-,-,-,-,-,-32.70958327,18.48538198 +base,Bokpoort CSP project,REIPPPP_BW2,CSP,Generator,Existing,50,-,-,-,2048,-,-,-,-,0%,3324,0,-,-,-,-,9,-28.87785503,21.91997588 +base,Boshoff Solar Park,REIPPPP_BW2,solar,Generator,Existing,57,-,-,-,2042,-,-,-,-,0%,2176,0,-,-,-,-,-,-28.53924889,25.21310591 +base,Chaba Wind Farm,REIPPPP_BW2,onwind,Generator,Existing,21,-,-,-,2036,-,-,-,-,0%,1186,0,-,-,-,-,-,-32.58791094,27.8791875 +base,Dreunberg,REIPPPP_BW2,solar,Generator,Existing,69.6,-,-,-,2042,-,-,-,-,0%,2176,0,-,-,-,-,-,-30.99735285,26.3301982 +base,Gouda Wind Project,REIPPPP_BW2,onwind,Generator,Existing,135.5,-,-,-,2037,-,-,-,-,0%,1186,0,-,-,-,-,-,-33.29437161,19.04399843 +base,Grassridge Wind Farm,REIPPPP_BW2,onwind,Generator,Existing,59.8,-,-,-,2037,-,-,-,-,0%,1186,0,-,-,-,-,-,-33.79566844,25.67222108 +base,Jasper Power Company,REIPPPP_BW2,solar,Generator,Existing,75,-,-,-,2042,-,-,-,-,0%,2176,0,-,-,-,-,-,-28.30952211,23.10406337 +base,Linde,REIPPPP_BW2,solar,Generator,Existing,36.8,-,-,-,2042,-,-,-,-,0%,2176,0,-,-,-,-,-,-31.04520663,24.44183386 +base,Neusberg Hydro Electrical Project,REIPPPP_BW2,hydro,Generator,Existing,10,-,-,-,beyond 2050,-,-,-,-,0%,1363,0,-,-,-,-,-,-28.75269659,20.5335003 +base,Sishen Solar Facility,REIPPPP_BW2,solar,Generator,Existing,74,-,-,-,2042,-,-,-,-,0%,2176,0,-,-,-,-,-,-27.75808649,23.01589583 +base,Solar Capital De Aar 3,REIPPPP_BW2,solar,Generator,Existing,75,-,-,-,2042,-,-,-,-,0%,2176,0,-,-,-,-,-,-30.65995,24.01981 +base,Stortemelk Hydro,REIPPPP_BW2,hydro,Generator,Existing,4.22,-,-,-,beyond 2050,-,-,-,-,0%,1363,0,-,-,-,-,-,-28.51415415,28.41014382 +base,Tsitsikamma Community Wind Farm,REIPPPP_BW2,onwind,Generator,Existing,93.68,-,-,-,2037,-,-,-,-,0%,1186,0,-,-,-,-,-,-34.01510678,24.34462169 +base,Upington Airport,REIPPPP_BW2,solar,Generator,Existing,8.9,-,-,-,2042,-,-,-,-,0%,2176,0,-,-,-,-,-,-28.41492673,21.2219053 +base,Vredendal Solar Park,REIPPPP_BW2,solar,Generator,Existing,8.8,-,-,-,2042,-,-,-,-,0%,2176,0,-,-,-,-,-,-31.65563733,18.5161484 +base,Waainek Wind Farm,REIPPPP_BW2,onwind,Generator,Existing,23.28,-,-,-,2037,-,-,-,-,0%,1186,0,-,-,-,-,-,-33.30901038,26.53167687 +base,!XiNa Solar One,REIPPPP_BW3,CSP,Generator,Existing,100,-,-,-,2049,-,-,-,-,0%,3114,0,-,-,-,-,6,-29.16209115,19.38626431 +base,Adams Solar PV 2,REIPPPP_BW3,solar,Generator,Existing,75,-,-,-,2043,-,-,-,-,0%,2176,0,-,-,-,-,-,-27.20248968,22.84678257 +base,ENERGY Joburg Landfill Gas to Electircity Project,REIPPPP_BW3,biomass,Generator,Existing,7.56,-,-,-,2049,-,0,-,-,0%,1109,0,-,-,-,-,-,-26.19495424,28.0325284 +base,Karoshoek Solar One,REIPPPP_BW3,CSP,Generator,Existing,100,-,-,-,2049,-,-,-,-,0%,3114,0,-,-,-,-,6,-28.41492673,21.2219053 +base,Khobab Wind Farm,REIPPPP_BW3,onwind,Generator,Existing,137.74,-,-,-,2038,-,-,-,-,0%,868,0,-,-,-,-,-,-30.91810861,19.44104346 +base,Loeriesfontein 2 Wind Farm,REIPPPP_BW3,onwind,Generator,Existing,138.23,-,-,-,2038,-,-,-,-,0%,868,0,-,-,-,-,-,-30.91810861,19.44104346 +base,Longyuan Mulilo De Aar Maanhaarberg Wind Energy Facility,REIPPPP_BW3,onwind,Generator,Existing,96.48,-,-,-,2038,-,-,-,-,0%,868,0,-,-,-,-,-,-30.65995,24.01981 +base,Longyuan Mulilo Green Energy De Aar 2 North Wind Energy Facility,REIPPPP_BW3,onwind,Generator,Existing,138.96,-,-,-,2038,-,-,-,-,0%,868,0,-,-,-,-,-,-30.65995,24.01981 +base,Mkuze,REIPPPP_BW3,biomass,Generator,Planned,16.5,-,32,-,beyond 2050,-,1650,-,-,0%,1500,0,-,6,4,,,-27.61803715,32.03451293 +base,Mulilo Prieska PV,REIPPPP_BW3,solar,Generator,Existing,75,-,-,-,2043,-,-,-,-,0%,1165,0,-,-,-,-,-,-29.96469912,22.33943836 +base,Mulilo Sonnedix Prieska PV,REIPPPP_BW3,solar,Generator,Existing,75,-,-,-,2043,-,-,-,-,0%,1165,0,-,-,-,-,-,-29.96469912,22.33943836 +base,Nojoli Wind Farm,REIPPPP_BW3,onwind,Generator,Existing,86.6,-,-,-,2038,-,-,-,-,0%,868,0,-,-,-,-,-,-32.74606365,25.80701715 +base,Noupoort Wind Farm,REIPPPP_BW3,onwind,Generator,Existing,79.05,-,-,-,2038,-,-,-,-,0%,868,0,-,-,-,-,-,-31.18385097,24.94597311 +base,Paleisheuwel,REIPPPP_BW3,solar,Generator,Existing,75,-,-,-,2043,-,-,-,-,0%,1165,0,-,-,-,-,-,-32.19669208,18.89502901 +base,Pulida Solar Park,REIPPPP_BW3,solar,Generator,Existing,75,-,-,-,2043,-,-,-,-,0%,1165,0,-,-,-,-,-,-29.13329593,24.79880592 +base,Red Cap Gibson Bay,REIPPPP_BW3,onwind,Generator,Existing,108.25,-,-,-,2038,-,-,-,-,0%,868,0,-,-,-,-,-,-34.00160661,24.74162863 +base,Tom Burke Solar Park,REIPPPP_BW3,solar,Generator,Existing,60,-,-,-,2043,-,-,-,-,0%,1165,0,-,-,-,-,-,-23.67193834,27.63573491 +base,Kathu Solar Park,REIPPPP_BW3.5,CSP,Generator,Existing,100,-,-,-,beyond 2050,-,-,-,-,0%,2902,0,-,-,-,-,6,-27.75808649,23.01589583 +base,Redstone Solar Thermal Power Plant,REIPPPP_BW3.5,CSP,Generator,Under construction,100,-,-,2024,beyond 2050,-,-,-,-,0%,2902,0,-,-,-,-,9,-28.30952211,23.10406337 +base,Aggeneys Solar,REIPPPP_BW4,solar,Generator,Existing,40,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-29.22015953,18.9152031 +base,Boikanyo Solar,REIPPPP_BW4,solar,Generator,Existing,55,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-29.11513585,23.7490966 +base,Bokamoso,REIPPPP_BW4,solar,Generator,Existing,67.9,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-26.85400239,26.64211071 +base,Copperton Windfarm,REIPPPP_BW4,onwind,Generator,Existing,102,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-29.96469912,22.33943836 +base,De Wildt,REIPPPP_BW4,solar,Generator,Existing,50,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-25.60966873,27.80765416 +base,Dyason's Klip 1,REIPPPP_BW4,solar,Generator,Existing,75,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-28.41492673,21.2219053 +base,Dyason's Klip 2,REIPPPP_BW4,solar,Generator,Existing,75,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-28.41492673,21.2219053 +base,Excelsior Wind Energy Facility,REIPPPP_BW4,onwind,Generator,Existing,31.9,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-34.02467796,20.4318549 +base,Garob Wind Farm,REIPPPP_BW4,onwind,Generator,Existing,135.93,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-29.96469912,22.33943836 +base,Golden Valley Wind,REIPPPP_BW4,onwind,Generator,Existing,117.72,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-32.74606365,25.80701715 +base,Kangnas Wind Farm,REIPPPP_BW4,onwind,Generator,Existing,136.7,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-29.66569573,17.88776436 +base,Konkoonsies II Solar PV Facility,REIPPPP_BW4,solar,Generator,Existing,75,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-29.16209115,19.38626431 +base,Kruisvallei Hydro,REIPPPP_BW4,hydro,Generator,Existing,3.8,-,-,-,beyond 2050,-,-,-,-,0%,1240,0,-,-,-,-,-,-28.24250307,28.30768328 +base,Matla A Bokone Solar,REIPPPP_BW4,solar,Generator,Existing,75,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-28.72506215,24.751701 +base,Ngodwana Energy,REIPPPP_BW4,biomass,Generator,Existing,25,-,32,-,beyond 2050,-,1650,-,-,0%,1500,0,-,6,4,,,-25.48089837,30.97430484 +base,Nxuba Wind Farm,REIPPPP_BW4,onwind,Generator,Existing,138.9,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-32.74606365,25.80701715 +base,Oyster Bay Wind Farm,REIPPPP_BW4,onwind,Generator,Existing,140,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-34.00160661,24.74162863 +base,Perdekraal East Wind Farm,REIPPPP_BW4,onwind,Generator,Existing,107.76,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-33.33942927,20.02925811 +base,Roggeveld Wind Farm,REIPPPP_BW4,onwind,Generator,Existing,140,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-32.40945174,20.66983649 +base,Sirius Solar PV Project One,REIPPPP_BW4,solar,Generator,Existing,75,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-28.41492673,21.2219053 +base,Soetwater Wind Farm,REIPPPP_BW4,onwind,Generator,Under construction,139.4,-,-,2024,2042,-,-,-,-,0%,687,0,-,-,-,-,-,-32.40945174,20.66983649 +base,Solar Capital Orange,REIPPPP_BW4,solar,Generator,Under construction,75,-,-,2023,2047,-,-,-,-,0%,872,0,-,-,-,-,-,-30.91810861,19.44104346 +base,The Karusa Wind Farm,REIPPPP_BW4,onwind,Generator,Existing,139.8,-,-,-,2046,-,-,-,-,0%,687,0,-,-,-,-,-,-32.40945174,20.66983649 +base,Waterloo Solar Park,REIPPPP_BW4,solar,Generator,Existing,75,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-26.93816488,24.70485455 +base,Wesley Ciskei,REIPPPP_BW4,onwind,Generator,Existing,32.7,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-33.28239705,27.4298131 +base,Zeerust,REIPPPP_BW4,solar,Generator,Existing,75,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-25.23658001,26.08241936 +base,Kelvin,other,coal,Generator,Existing,160,-,-,-,2027,12.372,15.6,0.5,0.5,30%,80,0,-,-,-,-,-,-26.658,28.1138 +base,Sasol SSF,other,coal,Generator,Existing,600,-,-,-,beyond 2050,12.372,15.6,0.5,0.5,0%,900,0,-,-,-,-,-,-26.5036,29.1803 +base,Avon,other,diesel,Generator,Existing,670,167.5,4,-,2046,11.519,263.4,11,11,0%,3,169,-,-,-,-,-,-29.251,31.0941 +base,Dedisa,other,diesel,Generator,Existing,335,167.5,2,-,2046,11.519,263.4,11,11,0%,3,169,-,-,-,-,-,-33.4433,25.4022 +base,Sasol Infrach Engines,other,gas,Generator,Existing,175,9.7,18,-,beyond 2050,7.6,75,8,8,30%,950,0,-,-,-,-,-,-26.8102,27.8277 +base,Sasol OCGT,other,gas,Generator,Existing,250,50,5,-,beyond 2050,11.519,75,2,2,0%,950,0,-,-,-,-,-,-26.8102,27.8277 +base,CahoraBassa,other,hydro-import,Generator,Existing,1764,250,6,-,beyond 2050,-,-,-,-,0%,300,0,-,-,-,-,-,, +base,ColleyWobbles,other,hydro,Generator,Existing,65,65,1,-,beyond 2050,-,-,-,-,0%,300,0,-,-,-,-,-,-32.05,28.58333 +base,Mondi,other,biomass,Generator,Existing,120,30,4,-,beyond 2050,-,-,0.5,0.5,30%,500,0,-,-,-,-,-,, +base,Sappi,other,biomass,Generator,Existing,144,36,4,-,beyond 2050,-,-,0.5,0.5,30%,500,0,-,-,-,-,-,-25.3447,30.394 +base,Steenbras,other,PHS,StorageUnit,Existing,180,45,4,-,beyond 2050,-,-,-,-,0%,300,222,72%,4,45,2.7,-,-34.153,18.9 diff --git a/docs/archive/configtables/hydro.csv b/docs/archive/configtables/hydro.csv new file mode 100644 index 0000000..c4de3ca --- /dev/null +++ b/docs/archive/configtables/hydro.csv @@ -0,0 +1,6 @@ +,Unit,Values,Description +cutout,--,"Must be 'RSA-2013-era5'","Specifies the directory where the relevant weather data ist stored." +carriers,--,"Any subset of {'ror', 'PHS', 'hydro'}","Specifies the types of hydro power plants to build per-unit availability time series for. 'ror' stands for run-of-river plants, 'PHS' represents pumped-hydro storage, and 'hydro' stands for hydroelectric dams." +PHS_max_hours,h,float,"Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity ``p_nom``. Cf. `PyPSA documentation `_." +hydro_max_hours,h,"Any of {float, 'energy_capacity_totals_by_country', 'estimate_by_large_installations'}","Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity ``p_nom`` or heuristically determined. Cf. `PyPSA documentation `_." +clip_min_inflow,MW,float,"To avoid too small values in the inflow time series, values below this threshold are set to zero." diff --git a/docs/archive/configtables/licenses.csv b/docs/archive/configtables/licenses.csv new file mode 100644 index 0000000..fc1633f --- /dev/null +++ b/docs/archive/configtables/licenses.csv @@ -0,0 +1,16 @@ +"Files","BY","NC","SA","Mark Changes",Detail +"supply_regions/11-supply.shp","x","x","x","x",https://www.eskom.co.za/eskom-divisions/tx/gcca/ +"supply_regions/RSA.shp","x","x","x","x",https://www.eskom.co.za/eskom-divisions/tx/gcca/ +"SAPAD_OR_2017_Q2/*","x","x","x",,https://egis.environment.gov.za/protected_and_conservation_areas_database +"SACAD_OR_2017_Q2/*","x","x",x,,https://egis.environment.gov.za/protected_and_conservation_areas_database +"REDZ_DEA_Unpublished_Draft_2015/*","x","x","x",,https://egis.environment.gov.za/redz +"Phase2_REDZs/*","x","x","x",,https://egis.environment.gov.za/redz +"Power_corridors","x","x","x",,https://egis.environment.gov.za/egi +"SystemEnergy2009_13.csv","x",,,,Eskom System Energy 2009-13 Hourly available from Eskom on request +"ZAF_wind-speed_100m.tif","x",,,,https://globalwindatlas.info/en/area/South%20Africa +"Supply_area_normalised power feed-in for PV.xlsx ","x",,,,https://www.csir.co.za/csir-energy-centre-documents +"Supply_area_normalised power feed-in for Wind.xlsx","x",,,,https://www.csir.co.za/csir-energy-centre-documents +"Existing Power Stations SA.xlsx","x","x",,,https://www.energy.gov.za/IRP/2016/Draft-IRP-2016-Assumptions-Base-Case-and-Observations-Revision1.pdf +"SALandCover_OriginalUTM35North_2013_GTI_72Classes","x","x",,,https://egis.environment.gov.za/sa_national_land_cover_datasets +"data/EIA_hydro_generation_2011_2014.csv","x","x",,, U.S. EIA Hydroelectricity Net Generation ZA and MZ 2011-2014 (2017). +"data/bundle/South_Africa_100m_Population/ZAF15adjv4.tif","x","x",,, https://hub.worldpop.org/doi/10.5258/SOTON/WP00246 \ No newline at end of file diff --git a/docs/archive/configtables/lines.csv b/docs/archive/configtables/lines.csv new file mode 100644 index 0000000..277373e --- /dev/null +++ b/docs/archive/configtables/lines.csv @@ -0,0 +1,6 @@ +,Unit,Values,Description +types,--,"Values should specify a `line type in PyPSA `_. Keys should specify the corresponding voltage level (e.g. 220., 300. and 380. kV)","Specifies line types to assume for the different voltage levels of the ENTSO-E grid extraction. Should normally handle voltage levels 220, 300, and 380 kV" +s_max_pu,--,"Value in [0.,1.]","Correction factor for line capacities (``s_nom``) to approximate :math:`N-1` security and reserve capacity for reactive power flows" +s_nom_max,MW,"float","Global upper limit for the maximum capacity of each extendable line." +length_factor,--,float,"Correction factor to account for the fact that buses are *not* connected by lines through air-line distance." +under_construction,--,"One of {'zero': set capacity to zero, 'remove': remove completely, 'keep': keep with full capacity}","Specifies how to handle lines which are currently under construction." \ No newline at end of file diff --git a/docs/archive/configtables/links.csv b/docs/archive/configtables/links.csv new file mode 100644 index 0000000..a78c6d6 --- /dev/null +++ b/docs/archive/configtables/links.csv @@ -0,0 +1,5 @@ +,Unit,Values,Description +p_max_pu,--,"Value in [0.,1.]","Correction factor for link capacities ``p_nom``." +p_nom_max,MW,"float","Global upper limit for the maximum capacity of each extendable DC link." +include_tyndp,bool,"{'true', 'false'}","Specifies whether to add HVDC link projects from the `TYNDP 2018 `_ which are at least in permitting." +under_construction,--,"One of {'zero': set capacity to zero, 'remove': remove completely, 'keep': keep with full capacity}","Specifies how to handle lines which are currently under construction." \ No newline at end of file diff --git a/docs/archive/configtables/model_file_costs.csv b/docs/archive/configtables/model_file_costs.csv new file mode 100644 index 0000000..c13eb85 --- /dev/null +++ b/docs/archive/configtables/model_file_costs.csv @@ -0,0 +1,106 @@ +scenario,technology,parameter,2019,2020,2025,2030,2035,2040,2045,2050,unit +csir_ambitions_2019,coal,CO2 intensity,0.354,0.354,0.354,0.354,0.354,0.354,0.354,0.354,tCO2/MWth +csir_ambitions_2019,CSP,CO2 intensity,0,0,0,0,0,0,0,0,tCO2/MWth +csir_ambitions_2019,diesel,CO2 intensity,0.248,0.248,0.248,0.248,0.248,0.248,0.248,0.248,tCO2/MWth +csir_ambitions_2019,gas,CO2 intensity,0.187,0.187,0.187,0.187,0.187,0.187,0.187,0.187,tCO2/MWth +csir_ambitions_2019,solar,discount rate,8.2%,8.2%,8.2%,8.2%,8.2%,8.2%,8.2%,8.2%,per unit +csir_ambitions_2019,solar-rooftop,discount rate,8.2%,8.2%,8.2%,8.2%,8.2%,8.2%,8.2%,8.2%,per unit +csir_ambitions_2019,solar-utility,discount rate,8.2%,8.2%,8.2%,8.2%,8.2%,8.2%,8.2%,8.2%,per unit +csir_ambitions_2019,biomass,heat_rate,12.386,12.386,12.386,12.386,12.386,12.386,12.386,12.386,GJ/MWh +csir_ambitions_2019,CCGT,heat_rate,7.395,7.395,7.395,7.395,7.395,7.395,7.395,7.395,GJ/MWh +csir_ambitions_2019,coal,heat_rate,9.812,9.812,9.812,9.812,9.812,9.812,9.812,9.812,GJ/MWh +csir_ambitions_2019,CSP,heat_rate,,,,,,,,,GJ/MWh +csir_ambitions_2019,diesel,heat_rate,11.519,11.519,11.519,11.519,11.519,11.519,11.519,11.519,GJ/MWh +csir_ambitions_2019,geothermal,heat_rate,,,,,,,,,GJ/MWh +csir_ambitions_2019,nuclear,heat_rate,10.657,10.657,10.657,10.657,10.657,10.657,10.657,10.657,GJ/MWh +csir_ambitions_2019,OCGT,heat_rate,11.519,11.519,11.519,11.519,11.519,11.519,11.519,11.519,GJ/MWh +csir_ambitions_2019,battery inverter,efficiency,89%,89%,89%,89%,89%,89%,89%,89%,per unit +csir_ambitions_2019,biomass,efficiency,29%,29%,29%,29%,29%,29%,29%,29%,per unit +csir_ambitions_2019,CCGT,efficiency,49%,49%,49%,49%,49%,49%,49%,49%,per unit +csir_ambitions_2019,coal,efficiency,37%,37%,37%,37%,37%,37%,37%,37%,per unit +csir_ambitions_2019,CSP,efficiency,,,,,,,,,per unit +csir_ambitions_2019,diesel,efficiency,31%,31%,31%,31%,31%,31%,31%,31%,per unit +csir_ambitions_2019,geothermal,efficiency,,,,,,,,,per unit +csir_ambitions_2019,nuclear,efficiency,34%,34%,34%,34%,34%,34%,34%,34%,per unit +csir_ambitions_2019,OCGT,efficiency,31%,31%,31%,31%,31%,31%,31%,31%,per unit +csir_ambitions_2019,hydro,efficiency,90%,90%,90%,90%,90%,90%,90%,90%,per unit +csir_ambitions_2019,onwind,efficiency,,,,,,,,,per unit +csir_ambitions_2019,PHS,efficiency,75%,75%,75%,75%,75%,75%,75%,75%,per unit +csir_ambitions_2019,ror,efficiency,90%,90%,90%,90%,90%,90%,90%,90%,per unit +csir_ambitions_2019,solar,efficiency,,,,,,,,,per unit +csir_ambitions_2019,solar-rooftop,efficiency,,,,,,,,,per unit +csir_ambitions_2019,solar-utility,efficiency,,,,,,,,,per unit +csir_ambitions_2019,battery inverter,FOM,697,697,697,697,697,697,697,697,ZAR/kWel +csir_ambitions_2019,biomass,FOM,2028,2028,2028,2028,2028,2028,2028,2028,ZAR/kWel +csir_ambitions_2019,CCGT,FOM,203,203,203,203,203,203,203,203,ZAR/kWel +csir_ambitions_2019,coal,FOM,1133,1133,1133,1133,1133,1133,1133,1133,ZAR/kWel +csir_ambitions_2019,CSP,FOM,1203,1203,1203,1203,1203,1203,1203,1203,%/year +csir_ambitions_2019,diesel,FOM,2.6,2.6,2.6,2.6,2.6,2.6,2.6,2.6,%/year +csir_ambitions_2019,HVAC overhead,FOM,2,2,2,2,2,2,2,2,%/year +csir_ambitions_2019,HVDC inverter pair,FOM,2,2,2,2,2,2,2,2,%/year +csir_ambitions_2019,HVDC overhead,FOM,2,2,2,2,2,2,2,2,%/year +csir_ambitions_2019,HVDC submarine,FOM,2,2,2,2,2,2,2,2,%/year +csir_ambitions_2019,hydro,FOM,484,484,484,484,484,484,484,484,ZAR/kWel +csir_ambitions_2019,nuclear,FOM,1187,1187,1187,1187,1187,1187,1187,1187,ZAR/kWel +csir_ambitions_2019,OCGT,FOM,196,196,196,196,196,196,196,196,ZAR/kWel +csir_ambitions_2019,onwind,FOM,742,742,742,742,742,742,742,742,ZAR/kWel +csir_ambitions_2019,PHS,FOM,222,222,222,222,222,222,222,222,ZAR/kWel +csir_ambitions_2019,ror,FOM,484,484,484,484,484,484,484,484,ZAR/kWel +csir_ambitions_2019,solar,FOM,328,328,328,328,328,328,328,328,ZAR/kWel +csir_ambitions_2019,solar-rooftop,FOM,328,328,328,328,328,328,328,328,ZAR/kWel +csir_ambitions_2019,solar-utility,FOM,328,328,328,328,328,328,328,328,ZAR/kWel +csir_ambitions_2019,biomass,fuel,36,36,36,36,36,36,36,36,R/GJ +csir_ambitions_2019,coal,fuel,33.8,33.8,33.8,33.8,33.8,33.8,33.8,33.8,R/GJ +csir_ambitions_2019,CSP,fuel,0,0,0,0,0,0,0,0,R/GJ +csir_ambitions_2019,diesel,fuel,277.8,277.8,277.8,277.8,277.8,277.8,277.8,277.8,R/GJ +csir_ambitions_2019,gas,fuel,150,150,150,150,150,150,150,150,R/GJ +csir_ambitions_2019,nuclear,fuel,9.1,9.1,9.1,9.1,9.1,9.1,9.1,9.1,R/GJ +csir_ambitions_2019,uranium,fuel,,,,,,,,,R/GJ +csir_ambitions_2019,battery inverter,investment,12286.03,11397.08,8587.84,7192.40,6742.88,6293.35,5843.83,5394.30,ZAR/kWel +csir_ambitions_2019,battery storage,investment,0,0,0,0,0,0,0,0,ZAR/kWh +csir_ambitions_2019,biomass,investment,52708,52708,52708,52708,52708,52708,52708,52708,ZAR/kWel +csir_ambitions_2019,CCGT,investment,12199,12199,12199,12199,12199,12199,12199,12199,ZAR/kWel +csir_ambitions_2019,coal,investment,48188,48188,48188,48188,48188,48188,48188,48188,ZAR/kWel +csir_ambitions_2019,CSP,investment,126013,120572,98228,83708,74928,70234,67922,66343,ZAR/kWel +csir_ambitions_2019,diesel,investment,400,400,400,400,400,400,400,400,ZAR/kWel +csir_ambitions_2019,HVAC overhead,investment,6000,6000,6000,6000,6000,6000,6000,6000,ZAR/MW/km +csir_ambitions_2019,HVDC inverter pair,investment,,,,,,,,,ZAR/MW +csir_ambitions_2019,HVDC overhead,investment,6000,6000,6000,6000,6000,6000,6000,6000,ZAR/MW/km +csir_ambitions_2019,HVDC submarine,investment,,,,,,,,,ZAR/MW/km +csir_ambitions_2019,hydro,investment,74340,74340,74340,74340,74340,74340,74340,74340,ZAR/kWel +csir_ambitions_2019,nuclear,investment,94145,93964,93057,92150,91968,91968,91968,91968,ZAR/kWel +csir_ambitions_2019,OCGT,investment,10754,10754,10754,10754,10754,10754,10754,10754,ZAR/kWel +csir_ambitions_2019,onwind,investment,14691,14431,13131,11831,11190,10544,9893,9238,ZAR/kWel +csir_ambitions_2019,PHS,investment,30777,30777,30777,30777,30777,30777,30777,30777,ZAR/kWel +csir_ambitions_2019,ror,investment,74340,74340,74340,74340,74340,74340,74340,74340,ZAR/kWel +csir_ambitions_2019,solar,investment,8746,8206,6671,5136,4402,3844,3506,3238,ZAR/kWel +csir_ambitions_2019,solar-rooftop,investment,8746,8206,6671,5136,4402,3844,3506,3238,ZAR/kWel +csir_ambitions_2019,solar-utility,investment,8746,8206,6671,5136,4402,3844,3506,3238,ZAR/kWel +csir_ambitions_2019,battery inverter,lifetime,20,20,20,20,20,20,20,20,years +csir_ambitions_2019,battery storage,lifetime,20,20,20,20,20,20,20,20,years +csir_ambitions_2019,biomass,lifetime,30,30,30,30,30,30,30,30,years +csir_ambitions_2019,CCGT,lifetime,30,30,30,30,30,30,30,30,years +csir_ambitions_2019,coal,lifetime,50,50,50,50,50,50,50,50,years +csir_ambitions_2019,CSP,lifetime,30,30,30,30,30,30,30,30,years +csir_ambitions_2019,diesel,lifetime,30,30,30,30,30,30,30,30,years +csir_ambitions_2019,HVAC overhead,lifetime,40,40,40,40,40,40,40,40,years +csir_ambitions_2019,HVDC inverter pair,lifetime,40,40,40,40,40,40,40,40,years +csir_ambitions_2019,HVDC overhead,lifetime,40,40,40,40,40,40,40,40,years +csir_ambitions_2019,HVDC submarine,lifetime,40,40,40,40,40,40,40,40,years +csir_ambitions_2019,hydro,lifetime,60,60,60,60,60,60,60,60,years +csir_ambitions_2019,nuclear,lifetime,60,60,60,60,60,60,60,60,years +csir_ambitions_2019,OCGT,lifetime,30,30,30,30,30,30,30,30,years +csir_ambitions_2019,onwind,lifetime,20,20,20,20,20,20,20,20,years +csir_ambitions_2019,PHS,lifetime,50,50,50,50,50,50,50,50,years +csir_ambitions_2019,ror,lifetime,60,60,60,60,60,60,60,60,years +csir_ambitions_2019,solar,lifetime,25,25,25,25,25,25,25,25,years +csir_ambitions_2019,solar-rooftop,lifetime,25,25,25,25,25,25,25,25,years +csir_ambitions_2019,solar-utility,lifetime,25,25,25,25,25,25,25,25,years +csir_ambitions_2019,CCGT,VOM,27,27,27,27,27,27,27,27,ZAR/MWhel +csir_ambitions_2019,coal,VOM,98,98,98,98,98,98,98,98,ZAR/MWhel +csir_ambitions_2019,CSP,VOM,1,1,1,1,1,1,1,1,ZAR/MWhel +csir_ambitions_2019,diesel,VOM,3,3,3,3,3,3,3,3,EUR/MWhel +csir_ambitions_2019,nuclear,VOM,45,45,45,45,45,45,45,45,ZAR/MWhel +csir_ambitions_2019,OCGT,VOM,3,3,3,3,3,3,3,3,ZAR/MWhel +csir_ambitions_2019,onwind,VOM,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,ZAR/MWhel +csir_ambitions_2019,solar,VOM,0,0,0,0,0,0,0,0,ZAR/MWhel diff --git a/docs/archive/configtables/model_file_setup.csv b/docs/archive/configtables/model_file_setup.csv new file mode 100644 index 0000000..6f87401 --- /dev/null +++ b/docs/archive/configtables/model_file_setup.csv @@ -0,0 +1,11 @@ +wildcard,simulation_years,existing_eskom,existing_non_eskom,new_build_limits,projected_parameters,costs +val-LC-UNC,"""2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050""",base,base,base,ambitions,ambitions_2019 +val-LC-UNC-1,"""2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050""",LC-Retirement,base,base,ambitions,ambitions_2019 +val-LC-UNC-2,"""2020,2025,2030,2035,2040,2045,2050""",base,base,base,ambitions,ambitions_2019 +val-2Gt-UNC,"""2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050""",2Gt,2Gt,base,ambitions,ambitions_2019 +val-2Gt-UNC-1,"""2020,2025,2030,2035,2040,2045,2050""",2Gt,2Gt,base,ambitions,ambitions_2019 +val-LC-SMOOTH,"""2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050""",base,base,ambitions_LC_SMOOTH,ambitions,ambitions_2019 +val-LC-SMOOTH-1,"""2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050""",LC-Retirement,base,ambitions_LC_SMOOTH,ambitions,ambitions_2019 +val-LC-SMOOTH-2,"""2020,2025,2030,2035,2040,2045,2050""",LC-Retirement,base,ambitions_LC_SMOOTH,ambitions,ambitions_2019 +val-2Gt-SMOOTH,"""2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050""",2Gt,2Gt,ambitions_2Gt_SMOOTH,ambitions,ambitions_2019 +val-2Gt-SMOOTH-1,"""2020,2025,2030,2035,2040,2045,2050""",2Gt,2Gt,ambitions_2Gt_SMOOTH,ambitions,ambitions_2019 diff --git a/docs/archive/configtables/model_setup.csv b/docs/archive/configtables/model_setup.csv new file mode 100644 index 0000000..19fe8d8 --- /dev/null +++ b/docs/archive/configtables/model_setup.csv @@ -0,0 +1,9 @@ +Trigger, Description, Definition, Status +``za-original``, cost assumption in PyPSA-ZA: Investment and operation co-optimization of integrating wind and solar in South Africa at high spatial and temporal detail, , In active use +``za-updated``,cost assumption in PyPSA-ZA: Investment and operation co-optimization of integrating wind and solar in South Africa at high spatial and temporal detail , , In active use +``IRP-2019``,https://www.energy.gov.za/irp/2019/IRP-2019.pdf , , In active use +``validation-1``,https://researchspace.csir.co.za/dspace/handle/10204/11483 , , In active use +``validation-2``,https://researchspace.csir.co.za/dspace/handle/10204/11483 , , In active use +``validation-3``,https://researchspace.csir.co.za/dspace/handle/10204/11483 , , In active use +``validation-4``,https://researchspace.csir.co.za/dspace/handle/10204/11483 , , In active use +``validation-5``,https://researchspace.csir.co.za/dspace/handle/10204/11483 , , In active use diff --git a/docs/archive/configtables/new_build_limits.csv b/docs/archive/configtables/new_build_limits.csv new file mode 100644 index 0000000..b0b1e84 --- /dev/null +++ b/docs/archive/configtables/new_build_limits.csv @@ -0,0 +1,20 @@ +scenario,parameter,carrier (MW),2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029,2030,2031,2032,2033,2034,2035,2036,2037,2038,2039,2040,2041,2042,2043,2044,2045,2046,2047,2048,2049,2050 +base,max_installed_limit,solar,0,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +base,max_installed_limit,onwind,0,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +base,max_installed_limit,CCGT,0,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +base,max_installed_limit,OCGT,0,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +base,max_installed_limit,biomass,0,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +base,max_installed_limit,coal,0,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +base,max_installed_limit,nuclear,0,0,0,0,0,0,0,0,,,,,,,,,,,,,,,,,,,,,,,, +base,max_installed_limit,hydro-import,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +base,max_installed_limit,PHS,0,0,0,0,0,0,0,0,0,0,0,0,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000 +base,max_installed_limit,battery,0,0,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +base,min_installed_limit,solar,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +base,min_installed_limit,onwind,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +base,min_installed_limit,CCGT,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +base,min_installed_limit,OCGT,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +base,min_installed_limit,coal,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +base,min_installed_limit,nuclear,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +base,min_installed_limit,hydro-import,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +base,min_installed_limit,PHS,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +base,min_installed_limit,battery,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 diff --git a/docs/archive/configtables/onwind.csv b/docs/archive/configtables/onwind.csv new file mode 100644 index 0000000..212e24e --- /dev/null +++ b/docs/archive/configtables/onwind.csv @@ -0,0 +1,13 @@ +,Unit,Values,Description +cutout,--,"Should be a folder listed in the configuration ``atlite: cutouts:`` (e.g. 'RSA-2013-era5') or reference an existing folder in the directory ``cutouts``. Source module must be ERA5.","Specifies the directory where the relevant weather data ist stored." +resource,,, +-- method,--,"Must be 'wind'","A superordinate technology type." +-- turbine,--,"One of turbine types included in `atlite `__","Specifies the turbine type and its characteristic power curve." +capacity_per_sqkm,:math:`MW/km^2`,float,"Allowable density of wind turbine placement." +corine,,, +-- grid_codes,--,"Any subset of the `CORINE Land Cover code list `_","Specifies areas according to CORINE Land Cover codes which are generally eligible for wind turbine placement." +-- distance,m,float,"Distance to keep from areas specified in ``distance_grid_codes``" +-- distance_grid_codes,--,"Any subset of the `CORINE Land Cover code list `_","Specifies areas according to CORINE Land Cover codes to which wind turbines must maintain a distance specified in the setting ``distance``." +natura,bool,"{true, false}","Switch to exclude `Natura 2000 `_ natural protection areas. Area is excluded if ``true``." +potential,--,"One of {'simple', 'conservative'}","Method to compute the maximal installable potential for a node; confer :ref:`renewableprofiles`" +clip_p_max_pu,p.u.,float,"To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero." diff --git a/docs/archive/configtables/opts.csv b/docs/archive/configtables/opts.csv new file mode 100644 index 0000000..02e2d20 --- /dev/null +++ b/docs/archive/configtables/opts.csv @@ -0,0 +1,12 @@ +Trigger, Description, Definition, Status +``nH``; i.e. ``2H``-``6H``, Resample the time-resolution by averaging over every ``n`` snapshots, ``prepare_network``: `average_every_nhours() `_ and its `caller `__), In active use +``nSEG``; e.g. ``4380SEG``, "Apply time series segmentation with `tsam `_ package to ``n`` adjacent snapshots of varying lengths based on capacity factors of varying renewables, hydro inflow and load.", ``prepare_network``: apply_time_segmentation(), In active use +``Co2L``, Add an overall absolute carbon-dioxide emissions limit configured in ``electricity: co2limit``. If a float is appended an overall emission limit relative to the emission level given in ``electricity: co2base`` is added (e.g. ``Co2L0.05`` limits emissisions to 5% of what is given in ``electricity: co2base``), ``prepare_network``: `add_co2limit() `_ and its `caller `__, In active use +``Ep``, Add cost for a carbon-dioxide price configured in ``costs: emission_prices: co2`` to ``marginal_cost`` of generators (other emission types listed in ``network.carriers`` possible as well), ``prepare_network``: `add_emission_prices() `_ and its `caller `__, In active use +``CCL``, Add minimum and maximum levels of generator nominal capacity per carrier for individual countries. These can be specified in the file linked at ``electricity: agg_p_nom_limits`` in the configuration. File defaults to ``data/agg_p_nom_minmax.csv``., ``solve_network``, In active use +``EQ``, "Require each country or node to on average produce a minimal share of its total consumption itself. Example: ``EQ0.5c`` demands each country to produce on average at least 50% of its consumption; ``EQ0.5`` demands each node to produce on average at least 50% of its consumption.", ``solve_network``, In active use +``ATK``, "Require each node to be autarkic. Example: ``ATK`` removes all lines and links. ``ATKc`` removes all cross-border lines and links.", ``prepare_network``, In active use +``BAU``, Add a per-``carrier`` minimal overall capacity; i.e. at least ``40GW`` of ``OCGT`` in Europe; configured in ``electricity: BAU_mincapacities``, ``solve_network``: `add_opts_constraints() `__, Untested +``SAFE``, Add a capacity reserve margin of a certain fraction above the peak demand to which renewable generators and storage do *not* contribute. Ignores network., ``solve_network`` `add_opts_constraints() `__, Untested +``carrier+{c|p|m}factor``,"Alter the capital cost (``c``), installable potential (``p``) or marginal costs (``m``) of a carrier by a factor. Example: ``solar+c0.5`` reduces the capital cost of solar to 50\% of original values.", ``prepare_network``, In active use +``CH4L``,"Add an overall absolute gas limit. If configured in ``electricity: gaslimit`` it is given in MWh thermal, if a float is appended, the overall gaslimit is assumed to be given in TWh thermal (e.g. ``CH4L200`` limits gas dispatch to 200 TWh termal)", ``prepare_network``: ``add_gaslimit()``, In active use diff --git a/docs/archive/configtables/plotting.csv b/docs/archive/configtables/plotting.csv new file mode 100644 index 0000000..7d83b0c --- /dev/null +++ b/docs/archive/configtables/plotting.csv @@ -0,0 +1,14 @@ +,Unit,Values,Description +map,,, +-- figsize,--,"[width, height]; e.g. [7,7]","Figure size in inches." +-- boundaries,°,"[x1,x2,y1,y2]","Boundaries of the map plots in degrees latitude (y) and longitude (x)" +-- p_nom,,, +-- -- bus_size_factor,--,float,"Factor by which values determining bus sizes are scaled to fit well in the plot." +-- -- linewidth_factor,--,float,"Factor by which values determining bus sizes are scaled to fit well in the plot." +costs_max,bn Euro,float,"Upper y-axis limit in cost bar plots." +costs_threshold,bn Euro,float,"Threshold below which technologies will not be shown in cost bar plots." +energy_max,TWh,float,"Upper y-axis limit in energy bar plots." +energy_min,TWh,float,"Lower y-axis limit in energy bar plots." +energy_threshold,TWh,float,"Threshold below which technologies will not be shown in energy bar plots." +tech_colors,--,"carrier -> HEX colour code","Mapping from network ``carrier`` to a colour (`HEX colour code `_)." +nice_names,--,"str -> str","Mapping from network ``carrier`` to a more readable name." \ No newline at end of file diff --git a/docs/archive/configtables/projected_parameters.csv b/docs/archive/configtables/projected_parameters.csv new file mode 100644 index 0000000..c3399f0 --- /dev/null +++ b/docs/archive/configtables/projected_parameters.csv @@ -0,0 +1,7 @@ +scenario,parameter,unit,2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029,2030,2031,2032,2033,2034,2035,2036,2037,2038,2039,2040,2041,2042,2043,2044,2045,2046,2047,2048,2049,2050 +ambitions,annual_demand,TWh/yr,240,240,242,246,250,254,257,261,265,269,272,277,280,284,287,291,294,298,301,305,308,311,314,319,321,325,329,332,335,339,342,346 +ambitions,coal_fleet_EAF,%/yr,58.5%,57.3%,56.5%,56.4%,56.4%,55.8%,55.6%,55.8%,55.6%,55.7%,56.3%,57.2%,57.5%,58.2%,58.9%,59.4%,59.6%,60.3%,61.3%,61.8%,61.9%,62.4%,65.3%,65.7%,66.3%,66.6%,67.1%,67.5%,68.4%,69.6%,71.0%,71.8% +ambitions,spinning_reserves,MW,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800 +ambitions,total_reserves,MW,2200,2200,2200,2200,2200,2200,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400 +ambitions,reserve_margin_active,TRUE/FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE +ambitions,reserve_margin,%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0% diff --git a/logs/cluster/.keep b/docs/archive/configtables/regions.csv similarity index 100% rename from logs/cluster/.keep rename to docs/archive/configtables/regions.csv diff --git a/docs/archive/configtables/resarea.csv b/docs/archive/configtables/resarea.csv new file mode 100644 index 0000000..d750dbf --- /dev/null +++ b/docs/archive/configtables/resarea.csv @@ -0,0 +1,3 @@ +Trigger, Description, Definition, Status +``redz``, Restrict renewables expansion to Phase 1 and Phase 2 Renewable Energy Development Zones (REDZs), , In active use +``corridors``, Restrict renewables expansion to strategic transmission corridors, , In active use diff --git a/docs/archive/configtables/scenario.csv b/docs/archive/configtables/scenario.csv new file mode 100644 index 0000000..22dd0ea --- /dev/null +++ b/docs/archive/configtables/scenario.csv @@ -0,0 +1,6 @@ +,Unit,Values,Description +resarea,--,cf. :ref:`resarea`,"List of ``{resarea}`` wildcards to run." +regions,--,cf. :ref:`regions`,"List of ``{regions}`` wildcards to run." +model_file,--,cf. :ref:`model_file`,"List of ``{model_file}`` wildcards to run." +ll,--,cf. :ref:`ll`,"List of ``{ll}`` wildcards to run." +opts,--,cf. :ref:`opts`,"List of ``{opts}`` wildcards to run." diff --git a/docs/archive/configtables/snapshots.csv b/docs/archive/configtables/snapshots.csv new file mode 100644 index 0000000..bbc0f25 --- /dev/null +++ b/docs/archive/configtables/snapshots.csv @@ -0,0 +1,4 @@ +,Unit,Values,Description +start,--,"str or datetime-like; e.g. YYYY-MM-DD","Left bound of date range" +end,--,"str or datetime-like; e.g. YYYY-MM-DD","Right bound of date range" +closed,--,"One of {None, ‘left’, ‘right’}","Make the time interval closed to the ``left``, ``right``, or open on both sides ``None``." \ No newline at end of file diff --git a/docs/archive/configtables/solar.csv b/docs/archive/configtables/solar.csv new file mode 100644 index 0000000..03a7504 --- /dev/null +++ b/docs/archive/configtables/solar.csv @@ -0,0 +1,14 @@ +,Unit,Values,Description +cutout,--,"Should be a folder listed in the configuration ``atlite: cutouts:`` (e.g. 'europe-2013-era5') or reference an existing folder in the directory ``cutouts``. Source module can be ERA5 or SARAH-2.","Specifies the directory where the relevant weather data ist stored that is specified at ``atlite/cutouts`` configuration. Both ``sarah`` and ``era5`` work." +resource,,, +-- method,--,"Must be 'pv'","A superordinate technology type." +-- panel,--,"One of {'Csi', 'CdTe', 'KANENA'} as defined in `atlite `__","Specifies the solar panel technology and its characteristic attributes." +-- orientation,,, +-- -- slope,°,"Realistically any angle in [0., 90.]","Specifies the tilt angle (or slope) of the solar panel. A slope of zero corresponds to the face of the panel aiming directly overhead. A positive tilt angle steers the panel towards the equator." +-- -- azimuth,°,"Any angle in [0., 360.]","Specifies the `azimuth `_ orientation of the solar panel. South corresponds to 180.°." +capacity_per_sqkm,:math:`MW/km^2`,float,"Allowable density of solar panel placement." +correction_factor,--,float,"A correction factor for the capacity factor (availability) time series." +corine,--,"Any subset of the `CORINE Land Cover code list `_","Specifies areas according to CORINE Land Cover codes which are generally eligible for solar panel placement." +natura,bool,"{true, false}","Switch to exclude `Natura 2000 `_ natural protection areas. Area is excluded if ``true``." +potential,--,"One of {'simple', 'conservative'}","Method to compute the maximal installable potential for a node; confer :ref:`renewableprofiles`" +clip_p_max_pu,p.u.,float,"To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero." diff --git a/docs/archive/configtables/solving-options.csv b/docs/archive/configtables/solving-options.csv new file mode 100644 index 0000000..4d8e0b7 --- /dev/null +++ b/docs/archive/configtables/solving-options.csv @@ -0,0 +1,10 @@ +,Unit,Values,Description +formulation,--,"Any of {'angles', 'kirchhoff', 'cycles', 'ptdf'}","Specifies which variant of linearized power flow formulations to use in the optimisation problem. Recommended is 'kirchhoff'. Explained in `this article `_." +load_shedding,bool,"{'true','false'}","Add generators with a prohibitively high marginal cost to simulate load shedding and avoid problem infeasibilities." +noisy_costs,bool,"{'true','false'}","Add random noise to marginal cost of generators by :math:`\mathcal{U}(0.009,0,011)` and capital cost of lines and links by :math:`\mathcal{U}(0.09,0,11)`." +min_iterations,--,int,"Minimum number of solving iterations in between which resistance and reactence (``x/r``) are updated for branches according to ``s_nom_opt`` of the previous run." +max_iterations,--,int,"Maximum number of solving iterations in between which resistance and reactence (``x/r``) are updated for branches according to ``s_nom_opt`` of the previous run." +nhours,--,int,"Specifies the :math:`n` first snapshots to take into account. Must be less than the total number of snapshots. Rather recommended only for debugging." +clip_p_max_pu,p.u.,float,"To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero." +skip_iterations,bool,"{'true','false'}","Skip iterating, do not update impedances of branches." +track_iterations,bool,"{'true','false'}","Flag whether to store the intermediate branch capacities and objective function values are recorded for each iteration in ``network.lines['s_nom_opt_X']`` (where ``X`` labels the iteration)" \ No newline at end of file diff --git a/docs/archive/configtables/solving-solver.csv b/docs/archive/configtables/solving-solver.csv new file mode 100644 index 0000000..0843c86 --- /dev/null +++ b/docs/archive/configtables/solving-solver.csv @@ -0,0 +1,3 @@ +,Unit,Values,Description +name,--,"One of {'gurobi', 'cplex', 'cbc', 'glpk', 'ipopt'}; potentially more possible","Solver to use for optimisation problems in the workflow; e.g. clustering and linear optimal power flow." +opts,--,"Parameter list for `Gurobi `_ and `CPLEX `_","Solver specific parameter settings." \ No newline at end of file diff --git a/docs/archive/configtables/top_level.csv b/docs/archive/configtables/top_level.csv new file mode 100644 index 0000000..9a26443 --- /dev/null +++ b/docs/archive/configtables/top_level.csv @@ -0,0 +1,11 @@ +,Unit,Values,Description +version,--,0.x.x,"Version of PyPSA-ZA" +logging,,, +-- level,--,"Any of {'INFO', 'WARNING', 'ERROR'}","Restrict console outputs to all infos, warning or errors only" +-- format,--,"","Custom format for log messages. See `LogRecord `_ attributes." +-- build_natura_raster,bool,"{true, false}","Switch to enable the creation of the raster ``natura.tiff`` via the rule :mod:`build_natura_raster`." +-- build_topology,bool,"{true, false}","Switch to build the base network into specific regions via the rule :mod:`build_topology` or whether to keep use a pre-build base network." +-- build_cutout,bool,"{true, false}","Switch to enable the building of cutouts via the rule :mod:`build_cutout`." +-- use_eskom_wind_solar,bool,"{true, false}","Model defaults to Eskom hourly pu profiles for all wind and solar generators via :mod:`add_electricity`." +-- use_excel_wind_solar,bool,"{true, false}","Model defaults to excel input hourly pu profiles for all wind and solar generators." +-- build_renewable_profiles,bool,"{true, false}","Switch to enable calculation of renewable profiles using atlite and Global Wind Atlas." \ No newline at end of file diff --git a/docs/archive/configuration.rst b/docs/archive/configuration.rst new file mode 100644 index 0000000..48af8a3 --- /dev/null +++ b/docs/archive/configuration.rst @@ -0,0 +1,267 @@ +.. + SPDX-FileCopyrightText: 2019-2020 The PyPSA-Eur Authors + + SPDX-License-Identifier: CC-BY-4.0 + +.. _config: + +########################################## +Configuration +########################################## + +PyPSA-ZA has several configuration options which are documented in this section and are collected in a ``config.yaml`` file located in the root directory. +Users should copy the provided default configuration (``config.default.yaml``) and amend their own modifications and assumptions in the user-specific +configuration file (``config.yaml``); confer installation instructions at :ref:`defaultconfig`. + +.. _toplevel_cf: + +Top-level configuration +======================= + +PyPSA-ZA imports the configuration options originally developed in `PyPSA-Eur `_ and here reported and adapted. + +The options here described are collected in a ``config.yaml`` file located in the root directory. +Users should copy the provided default configuration (``config.default.yaml``) and amend +their own modifications and assumptions in the user-specific configuration file (``config.yaml``); +confer installation instructions at :ref:`defaultconfig`. + +.. note:: + Credits to PyPSA-Eur and PyPSA-meets-Earth developers for the initial drafting of the configuration documentation here reported + +.. _toplevel_cf: + +Top-level configuration +======================= + +.. literalinclude:: ../config.default.yaml + :language: yaml + :lines: 1-5,25-31 + +.. + .. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/toplevel.csv + +.. _scenario: + +``scenario`` +============ + +It is common conduct to analysis of energy system optimisation models for **multiple scenarios** for a variety of reasons, +e.g. assessing their sensitivity towards changing the temporal and/or geographical resolution or investigating how +investment changes as more ambitious greenhouse-gas emission reduction targets are applied. + +The ``scenario`` section is an extraordinary section of the config file +that is strongly connected to the :ref:`wildcards` and is designed to +facilitate running multiple scenarios through a single command + +.. code:: bash + + snakemake -j 1 solve_all_networks + +For each wildcard, a **list of values** is provided. The rule ``solve_all_networks`` will trigger the rules for creating ``results/networks/solved_{model_file}_{regions}_{resarea}_l{ll}_{opts}.nc`` for **all combinations** of the provided wildcard values as defined by Python's `itertools.product(...) `_ function that snakemake's `expand(...) function `_ uses. + +An exemplary dependency graph (starting from the simplification rules) then looks like this: + +.. image:: img/scenarios.png + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: scenario: + :end-before: data: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/scenario.csv + +.. _snapshots_cf: + +``snapshots``- now specified in model_file.xlsx +=============================================== + +Specifies the temporal range to build an energy system model for as arguments to `pandas.date_range `_ + +.. .. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: years: + :end-before: electricity: + +.. .. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/snapshots.csv + +.. _electricity_cf: + +``electricity`` +=============== + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: electricity: + :end-before: respotentials: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/electricity.csv + +.. warning:: + Carriers in ``conventional_carriers`` must not also be in ``extendable_carriers``. + +.. _atlite_cf: + +``atlite`` +========== + +Define and specify the ``atlite.Cutout`` used for calculating renewable potentials and time-series. All options except for ``features`` are directly used as `cutout parameters `_. + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: atlite: + :end-before: renewable: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/atlite.csv + +.. _renewable_cf: + +``renewable`` +============= + +``onwind`` +---------- + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: renewable: + :end-before: solar: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/onwind.csv + +``solar`` +--------------- + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: solar: + :end-before: hydro_inflow: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/solar.csv + +``hydro`` +--------------- + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: hydro_inflow: + :end-before: lines: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/hydro.csv + +.. _lines_cf: + +``lines`` +============= + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: lines: + :end-before: links: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/lines.csv + +.. _links_cf: + +``links`` +============= + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: links: + :end-before: augmented_line_connection: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/links.csv + +.. _costs_cf: + +``costs`` +============= + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: costs: + :end-before: tsam_clustering: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/costs.csv + +.. note:: + To change cost assumptions in more detail (i.e. other than ``marginal_cost`` and ``capital_cost``), consider modifying cost assumptions directly in ``data/costs.csv`` as this is not yet supported through the config file. + You can also build multiple different cost databases. Make a renamed copy of ``data/costs.csv`` (e.g. ``data/costs-optimistic.csv``) and set the variable ``COSTS=data/costs-optimistic.csv`` in the ``Snakefile``. + +.. _solving_cf: + +``solving`` +============= + +``options`` +----------- + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: solving: + :end-before: solver: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/solving-options.csv + +``solver`` +---------- + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: solver: + :end-before: plotting: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/solving-solver.csv + +.. _plotting_cf: + +``plotting`` +============= + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: plotting: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/plotting.csv \ No newline at end of file diff --git a/docs/archive/costs.rst b/docs/archive/costs.rst new file mode 100644 index 0000000..fc5cb50 --- /dev/null +++ b/docs/archive/costs.rst @@ -0,0 +1,53 @@ +.. + SPDX-FileCopyrightText: 2019-2020 The PyPSA-Eur Authors + + SPDX-License-Identifier: CC-BY-4.0 + +################## +Cost Assumptions +################## + +The database of cost assumptions is stored in ``model_file.xlsx``. + +It includes a sheet `costs` which specifies the cost assumptions for all included technologies for specific +years from various sources, namely for + +- discount rate, +- lifetime, +- investment (CAPEX), +- fixed operation and maintenance (FOM), +- variable operation and maintenance (VOM), +- fuel costs, +- efficiency, and +- carbon-dioxide intensity. + +The given overnight capital costs are annualised to net present costs +with a discount rate of :math:`r` over the economic lifetime :math:`n` using the annuity factor + +.. math:: + + a = \frac{1-(1+r)^{-n}}{r}. + +Based on the parameters above the ``marginal_cost`` and ``capital_cost`` of the system components are calculated. + +.. note:: + + Another great resource for cost assumptions is the `cost database from the Danish Energy Agency `_. + +Modifying Cost Assumptions +========================== + +Some cost assumptions (e.g. marginal cost and capital cost) can be directly overwritten in the ``config.yaml`` (cf. Section :ref:`costs_cf` in :ref:`config`). + +To change cost assumptions in more detail, modify cost assumptions directly in ``costs`` sheet of ``model_file.xlsx`` as this is not yet supported through the config file. + +You can also build multiple different cost databases for different scenarios. Copy all costs in the ``costs`` sheet ``model_file.xlsx`` and paste them in an empty row +below the existing data and give the copied data a new scenario name (e.g. copy and paste costs to new rows and name the scenario "least_cost"). + + +Default Cost Assumptions +======================== + +.. csv-table:: + :header-rows: 1 + :file: configtables/model_file_costs.csv diff --git a/docs/archive/data_workflow.rst b/docs/archive/data_workflow.rst new file mode 100644 index 0000000..dba8406 --- /dev/null +++ b/docs/archive/data_workflow.rst @@ -0,0 +1,110 @@ +.. + SPDX-FileCopyrightText: 2021 The PyPSA meets Earth authors + + SPDX-License-Identifier: CC-BY-4.0 + +.. _data_workflow: + +########################################## +Data used by the model +########################################## + +This section explains in detail how PyPSA-ZA downloads and retrieves the various data types. + +Preparing the power grid layout and climatic inputs are two essential aspects of the energy modelling workflow. In addition, PyPSA-ZA utilises several environmental, economic, and technological datasets. + +1. Grid topology data +=================================== + +PyPSA-ZA allows the user to select the desired spatial resolution; shape files are presently available for South Africa, the nine provinces of South Africa, the ten supply areas outlined in the Eskom TDP, and the twenty-seven Eskom supply regions. +These shape files may be found in `data/bundle/supply regions/regions.shp`, where `regions` represents the desired spatial resolution, such as `10-supply`. + +The grid topology model is constructed using the `build_topology` rule. When the rule `build_topology` is executed, the buses and lines are computed and saved as geojson files in the folders `resources/buses_{regions}.geojson` and `resources/lines_{regions}.geojson` for each region. + + +2. Climate data +=================================== + +The climate data processing is provided by the `atlite `_ package and `GWA `_. + +The `build_cutout` rule downloads weather data from either `ERA5 `_ reanalysis weather dataset or `SARAH-2 `_ +satellite-based historic weather data. It extracts all the required whether and climate data to generate the time series of renewable potential by `build_renewable_profiles` rule. + +The rule `build_renewable_profiles` corrects for the wind speed at 100m using `GWA `_ data which is provided in `data/bundle/ZAF_wind-speed_100m.tif`. + +.. image:: img/buils_renewables_profiles_cap_factor.png + :width: 80% + :align: center + +3. General data +=================================== + +There are a number datasets applied in PyPSA-ZA to build a realistic model. Original datasets are stored in the `data/bundle` folder. Currently we are using the following resources. + +Environmental +------------------------------------ + +* **SAPAD** The South African Protected Areas Database (SAPAD) + +.. image:: img/copernicus.png + :height: 150 px + :align: center + +It is used in the `build_natura_raster` rule to quantify what are the land regions available for the installation of renewable resources, e.g. renewable assets may not be installed on arable land. + +* **SACAD** The South African Conservation Areas Database (SACAD) + +.. image:: img/copernicus.png + :height: 150 px + :align: center + +It is used in the `build_natura_raster` rule to quantify what are the land regions available for the installation of renewable resources, e.g. renewable assets may not be installed on arable land + +* **redz** A dataset of the Renewable Energy Development Zones (REDZs) containing 8 priority areas for investment of wind and solar PV development available from the `Department of Forestry, Fishers and the Environment `_ of the Republic of South Africa. + +The dataset is used to restrict renewable energy expansion to the REDZs regions in the rule `build_renewable_profiles`. + +* **corridors** A dataset of REDZs Strategic Transmission Corridors containing 5 priority areas for the investement of new +electricity transmission and distribution infrustructure available from the `Department of Forestry Fishers and the Environment `_ + +The dataset is used to restrict renewable energy expansion to the strategic transmission corridors regions in the rule `build_renewable_profiles`. + +.. image:: img/gebco_2021_grid_image.jpg + :width: 150% + :align: center + +* **salandcover** A dataset of the `South African National Land Cover `_ + +Economical +------------------------------------ + +* **costs.csv** spreadsheet in `model_file.xlsx` file which contains the default costs of the technologies along with their typical lifetime and efficiency values. The dataset is intended to give a starting point for running the model while user specific adjustments may be made. + +* **ZAF15adjv4.tif** raster dataset of the population located in `data/bundle/South_Africa_100m_Population/ZAF15adjv4.tif` + +Technological +------------------------------------ + +* **EIA_hydro_generation_2011_2014.csv** contains data on total energy production of existing plants as reported per country by the open US Energy Information Administration `EIA platforms `_. It is used to calibrate the runoff time series obtained from the global reanalysis data. + +4. Pre-calculated datasets +=================================== + +There are some datasets which were prepared to ensure smooth run of the model. However, they may (and in some cases) must be replaced by custom ones. + +* **natura.tiff** contains geo-spatial data on location of protected and conservation areas and may be used as mask the exclude such areas when calculating the renewable potential by `build_renewable_profiles` rule. The `natura` flag in the configuration file allows to switch-on this option while presence of the `natura.tiff` in the `resources` folder is needed to run the model. + +Currently the pre-build file is calculated for South Africa using the `SAPAD` and `SACAD` datasets. + +* **SystemEnergy2009_22.csv** is the electricity demand profile provided from the Eskom data portal. This pre-downloaded data on electricity demand is placed in `data/bundle/SystemEnergy2009_22.csv`. + +* **eskom_pu_profiles.csv** is Eskom hourly pu profiles for all wind and solar generators in South Africa. The `use_eskom_wind_solar` flag in the configuration file allows to switch-on this option. This data is located in `data/eskom_pu_profiles.csv` + +* **num_lines.xlsx** is the number of high voltage transmission lines (i.e 275kV, 400kV and 765kV) between neighbouring regions. + +* **Eskom EAF data.xlsx** is daily Energy Availability Factor of `Eskom `_ plants. It is the difference between the maximum availability and all unavailabilities (PCLF, UCLF & OCLF) expressed as a percentage. This excludes renewables, IPPs and international imports. This pre-downloaded data is placed in `data/Eskom EAF data.xlsx` + +5. Scenario generation spreadsheet +=================================== +model_file="model_file.xlsx", + diff --git a/docs/archive/how_to_contribute.rst b/docs/archive/how_to_contribute.rst new file mode 100644 index 0000000..7597d4f --- /dev/null +++ b/docs/archive/how_to_contribute.rst @@ -0,0 +1,54 @@ +.. + SPDX-FileCopyrightText: 2021 The PyPSA meets Earth authors + + SPDX-License-Identifier: CC-BY-4.0 + +.. _how_to_contribute: + +########################################## +Сontribute +########################################## + +We welcome and really value contributions! Every contribution is valuable, and you always get credits. + +Contributions to the code can be made in several ways: + +- submit feedback, +- add new features, +- report bugs, +- fix bugs, +- implement a new cluster/cloud computation backend, +- write documentation + + +Code +==== + +For every code contribution you should run `pre-commit `_. +This will lint, format and check your code contributions against our guidelines +(e.g. we use `Black `_ as code style +and aim for `REUSE compliance `_): + +1. Installation ``conda install -c conda-forge pre-commit`` or ``pip install pre-commit`` +2. Usage: + * To automatically activate ``pre-commit`` on every ``git commit``: Run ``pre-commit install`` + * To manually run it: ``pre-commit run --all`` + +Add a new test if you want to contribute new functionality to the config. +We perform currently *multiple* integration tests which means various workflows need to work. +All test configs are build by updating the ``config.tutorial.yaml`` with the configs in ``pypysa-za/test/*.yaml``. + + * You can test your contribution locally with ``snakemake --cores 4 run_tests``. This will build test configs and executes them. + * Run ``snakemake -j1 build_test_configs`` to build and analyse locally the test configs. + +To contribute a test: + +1. Provide a new test in ``test/.yaml``, or adjust one of the existing ones. These tests update the config.tutorial.yaml to test other options e.g. landlock countries. +2. Add a new test config path to the ``rule build_all_test`` in the ``Snakefile``. +3. If your functionality should be tested in the CI for every pull request, add a respective code in ``.github/workflows/ci-linux.yaml``. We test all functionalities only for Linux while providing a general test for windows and mac. + + +No-Code +======== +Instead of contributing code there are alternatives to support the PyPSA-ZA goals. +You can fund projects, supervise students, support us with outreach activities or events. diff --git a/docs/archive/img/1-supply.pgw b/docs/archive/img/1-supply.pgw new file mode 100644 index 0000000..bbdcc3a --- /dev/null +++ b/docs/archive/img/1-supply.pgw @@ -0,0 +1,6 @@ +0.00676703698935091 +0 +0 +-0.00676703698935091 +13.96591680738945129 +-21.810685077494675 diff --git a/docs/archive/img/1-supply.png b/docs/archive/img/1-supply.png new file mode 100644 index 0000000..a7de130 Binary files /dev/null and b/docs/archive/img/1-supply.png differ diff --git a/docs/archive/img/11-supply.pgw b/docs/archive/img/11-supply.pgw new file mode 100644 index 0000000..bbdcc3a --- /dev/null +++ b/docs/archive/img/11-supply.pgw @@ -0,0 +1,6 @@ +0.00676703698935091 +0 +0 +-0.00676703698935091 +13.96591680738945129 +-21.810685077494675 diff --git a/docs/archive/img/11-supply.png b/docs/archive/img/11-supply.png new file mode 100644 index 0000000..334f951 Binary files /dev/null and b/docs/archive/img/11-supply.png differ diff --git a/docs/archive/img/27-supply.pgw b/docs/archive/img/27-supply.pgw new file mode 100644 index 0000000..bbdcc3a --- /dev/null +++ b/docs/archive/img/27-supply.pgw @@ -0,0 +1,6 @@ +0.00676703698935091 +0 +0 +-0.00676703698935091 +13.96591680738945129 +-21.810685077494675 diff --git a/docs/archive/img/27-supply.png b/docs/archive/img/27-supply.png new file mode 100644 index 0000000..e7bb8ac Binary files /dev/null and b/docs/archive/img/27-supply.png differ diff --git a/docs/archive/img/buils_renewables_profiles_cap_factor.png b/docs/archive/img/buils_renewables_profiles_cap_factor.png new file mode 100644 index 0000000..dfa65c9 Binary files /dev/null and b/docs/archive/img/buils_renewables_profiles_cap_factor.png differ diff --git a/docs/archive/img/validation-4_RSA_redz_lcopt_LC_p_nom_ext.png b/docs/archive/img/validation-4_RSA_redz_lcopt_LC_p_nom_ext.png new file mode 100644 index 0000000..647ebe8 Binary files /dev/null and b/docs/archive/img/validation-4_RSA_redz_lcopt_LC_p_nom_ext.png differ diff --git a/docs/archive/img/workflow.png b/docs/archive/img/workflow.png new file mode 100644 index 0000000..c5b84b0 Binary files /dev/null and b/docs/archive/img/workflow.png differ diff --git a/docs/archive/img/workflow_descriptive.png b/docs/archive/img/workflow_descriptive.png new file mode 100644 index 0000000..91d1040 Binary files /dev/null and b/docs/archive/img/workflow_descriptive.png differ diff --git a/docs/archive/index.rst b/docs/archive/index.rst new file mode 100644 index 0000000..7a5727b --- /dev/null +++ b/docs/archive/index.rst @@ -0,0 +1,109 @@ +.. pypsa-za documentation master file, created by + sphinx-quickstart on Fri Jan 6 10:47:23 2023. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. + +PyPSA-ZA: An open Optimisation Model of the South African Power System +======================================================================= + +PyPSA-ZA is an open model dataset of the South African power system at three spatial resolutions namely; + +- ``1-supply``: A single node for the entire South Africa. +- ``11-supply``: 11 nodes based on the `Eskom Generation Connection Capacity Assessment of the 2024 Transmission Network (GCCA – 2024) `_ regions. +- ``27-supply``: 27 nodes based on Eskom 27 supply regions. + +.. image:: img/1-supply.png + :width: 500 + :align: center + :alt: 1-supply + +.. image:: img/11-supply.png + :width: 500 + :align: center + :alt: 9-supply + +.. image:: img/27-supply.png + :width: 500 + :align: center + :alt: 27-supply + +PyPSA-ZA is a high temporal resolution multi-horizon expansion planning model for a least cost optimised transition path to +a decarbonised power sector over the coming decades for South Africa. + +PyPSA-ZA makes use of freely available and open data which encourages the open exchange of model data developments and eases the comparison of model results. +It provides a full, automated software pipeline to assemble the load-flow-ready model from the original datasets, which enables easy replacement and +improvement of the individual parts. + +PyPSA-ZA is designed to be imported into the open toolbox `PyPSA `_ for which `documentation `_ is available as well. + +This project is currently maintained by `Meridian Economics `_. Previous versions were developed within the Energy Centre +at the `Council for Scientific and Industrial Research (CSIR) `_ as part of the `CoNDyNet project `_, which is supported by the +`German Federal Ministry of Education and Research `_ under grant no. 03SF0472C. + +The model is currently under development and has been validated for the single node (`1-supply`), for more information on the capability of the moel please see the :ref:`release-notes`. + +.. note:: + Credits to `PyPSA-Eur `_ and `PyPSA-Meets-Earth `_ developers for the initial drafting of the documentation here reported and adapted where necessary + +============= +Documentation +============= + +**Getting Started** + +* :doc:`introduction` +* :doc:`installation` +* :doc:`workflow` +* :doc:`tutorials` +* :doc:`data_workflow` + +.. toctree:: + :hidden: + :maxdepth: 2 + :caption: Getting Started + + introduction + installation + workflow + tutorials + data_workflow + +**Configuration** + +* :doc:`wildcards` +* :doc:`configuration` +* :doc:`costs` + +.. toctree:: + :hidden: + :maxdepth: 2 + :caption: Configuration + + wildcards + configuration + costs + +**API** + +* :doc:`api_reference` + +.. toctree:: + :hidden: + :maxdepth: 2 + :caption: API + + api_reference + + +**Help and References** + +* :doc:`release_notes` +* :doc:`how_to_contribute` + +.. toctree:: + :hidden: + :maxdepth: 2 + :caption: Project Info + + release_notes + how_to_contribute diff --git a/docs/archive/installation.rst b/docs/archive/installation.rst new file mode 100644 index 0000000..434f8c0 --- /dev/null +++ b/docs/archive/installation.rst @@ -0,0 +1,120 @@ +.. _installation: + +########################################## +Installation +########################################## + +The subsequently described installation steps are demonstrated as shell commands, where the path before the % sign denotes the directory in which the commands following the % should be entered. + +Clone the Repository +==================== + + +First of all, clone the `PyPSA-ZA repository `_ using the version control system ``git``. +The path to the directory into which the ``git repository`` is cloned, must **not** have any spaces! +If you do not have ``git`` installed, follow installation instructions `here `_. + +.. code-block:: bash + + /some/other/path % cd /some/path/without/spaces + /some/path/without/spaces % git clone https://github.com/pypsa-za.git + +.. _deps: + +Install Python Dependencies +=========================== + +PyPSA-ZA relies on a set of other Python packages to function. +We recommend using the package manager and environment management system ``conda`` to install them. +Install `miniconda `_, which is a mini version of `Anaconda `_ +that includes only ``conda`` and its dependencies or make sure ``conda`` is already installed on your system. +For instructions for your operating system follow the ``conda`` `installation guide `_. + +The python package requirements are curated in the `envs/environment.yaml `_ file. + +The environment can be installed and activated using + +.. code-block:: bash + + .../pypsa-za % conda env create -f environment.yaml + .../pypsa-za % conda activate pypsa-za + +Note that activation is local to the currently open shell! +After opening a new terminal window, one needs to reissue the second command! + +.. note:: + If you have troubles with a slow ``conda`` installation, we recommend to install + `mamba `_ as a fast drop-in replacement via + + .. code-block:: bash + + conda install -c conda-forge mamba + + and then install the environment with + + .. code-block:: bash + + mamba env create -f envs/environment.yaml + +Download Data Dependencies +========================== +For ease of installation and reproduction we provide a bundle pypsa-za-bundle.7z with the necessary data files. +To obtain and unpack the data bundle in the data folder + +.. code-block:: bash + + .../data % wget "https://vfs.fias.science/d/f204668ef2/files/?dl=1&p=/pypsa-za-bundle.7z" + .../data % 7z x pypsa-za-bundle.7z + +Install a Solver +================ + +PyPSA passes the PyPSA-ZA network model to an external solver for performing a total annual system cost minimization with optimal power flow. +PyPSA is known to work with the free software + +- `Ipopt `_ +- `Cbc `_ +- `GLPK `_ (`WinGLKP `_) +- `HiGHS `_ + +For installation instructions of these solvers for your operating system, follow the links above. +Commercial solvers such as Gurobi and CPLEX currently significantly outperform open-source solvers for large-scale problems. +It might be the case that you can only retrieve solutions by using a commercial solver. + +.. note:: + The rules :mod:`cluster_network` and :mod:`simplify_network` solve a quadratic optimisation problem for clustering. + The open-source solvers Cbc and GlPK cannot handle this. A fallback to Ipopt is implemented in this case, but requires + also Ipopt to be installed. For an open-source solver setup install in your ``conda`` environment on OSX/Linux + + .. code:: bash + + conda activate pypsa-za + conda install -c conda-forge ipopt coincbc + + and on Windows + + .. code:: bash + + conda activate pypsa-za + conda install -c conda-forge ipopt glpk + +.. warning:: + On Windows, new versions of ``ipopt`` have caused problems. Consider downgrading to version 3.11.1. + +.. _defaultconfig: + +Set Up the Default Configuration +================================ + +PyPSA-ZA has several configuration options that must be specified in a ``config.yaml`` file located in the root directory. +An example configuration ``config.default.yaml`` is maintained in the repository. +More details on the configuration options are in :ref:`config`. + +Before first use, create a ``config.yaml`` by copying the example. + +.. code:: bash + + .../pypsa-za % cp config.default.yaml config.yaml + +Users are advised to regularly check their own ``config.yaml`` against changes in the ``config.default.yaml`` +when pulling a new version from the remote repository. diff --git a/docs/archive/introduction.rst b/docs/archive/introduction.rst new file mode 100644 index 0000000..5439668 --- /dev/null +++ b/docs/archive/introduction.rst @@ -0,0 +1,100 @@ +.. + SPDX-FileCopyrightText: 2021 The PyPSA-ZA authors + + SPDX-License-Identifier: CC-BY-4.0 + +.. _introduction: + +########################################## +Introduction +########################################## + +History +======== + +Historically, commercial tools have been extensively utilised by both governments and utilities to develop capacity +expansion plans. One of the challenges of utilising such commercial tools to support transparent energy policy is +the closed nature of the models, which are essentially a ‘black-box’. For this reason, initiatives such as +`openmod `_ have been developed with the goal of creating open energy +modelling platforms that are based on `open-source software `_ as well as open data. + +`PyPSA (Python for Power System Analysis) `_ is a diverse toolbox of modules that can be assembled to produce a power / energy +system modelling framework to meet specific requirements. As described by `Brown et al `_ +PyPSA includes a toolbox of modules for multi-horizon investment planning, unit commitment of conventional generators, +time-varying renewable generators, storage units, all combinations of direct and alternating current electricity networks, +and the coupling of electricity to other energy sectors, such as gas, heating and transport. + +An initial PyPSA-ZA model of the South African power system called PyPSA-ZA was developed by `Hörsch +and Calitz `_ who studied a future renewable energy based +South African electricity network for a single reference year (in other words, it was not an +intertemporally optimised power system development model – showing an optimised transition +over time – it only provided a snapshot of an optimised high renewables system at a particular +point in time – 2040, albeit with reasonable spatial (network) resolution. The initial PyPSA-ZA model +is described and evaluated in the paper +`PyPSA-ZA: Investment and operation co-optimization of integrating wind and solar in South Africa at high spatial and temporal detail `_. + +`PyPSA `_ has also been utilised to build an extensive interconnected power system model of the European power system +`PyPSA-Eur `_. This model has been further extended to include full sector +coupling of power, transportation and heat demand `PyPSA-Eur-Sec `_. +Like the PyPSA-ZA model, the PyPSA-Eur model framework has been designed to handle high spatial resolution +(detailed network specification, i.e. grid constraints), but it does not perform multi-year optimisation and instead analyses +a single year snapshot. In the African context the project `PyPSA-Meets-Earth `_ +is currently ongoing and aims to develop an interconnected, high-level, African power system model on the same basis as PyPSA-Eur. +Multi-horizon planning functionality, based on the assumption of “perfect foresight”, was only recently added to PyPSA in 2021, +and currently PyPSA-Eur, PyPSA-ZA, and PyPSA-meets-Earth do not yet incorporate this capability. +The PyPSA-Eur-Sec model does include myopic expansion planning capability that is based on separating the planning horizon +into several shorter periods that are solved as separate optimisations. + +Currently, there is no existing `PyPSA `_ model +for South Africa that can be used to address the multi-year, least cost optimised, transition path to +a decarbonised power sector over the coming decades. Therefore, an updated and expanded PyPSA-ZA model +is required that is comparable with the existing, mostly proprietary, modelling approaches that are +used in the country. + +In 2022 `Meridian Economics `_ leveraged the experience from +`PyPSA-Eur `_, PyPSA-ZA and `PyPSA meets Earth `_ +to significantly shorten the development time frame for the new model. `Meridian Economics `_ has undergone extensive work in terms of +input datasets, model development, and validation against existing results from commercial tools to establish PyPSA-ZA credibility to ensure that the outcomes can +be trusted to support policy decisions. The updated PyPSA-ZA model has the following capabilities: + +- ``Updated input data``: Includes latest assumptions around technology performance and learning rates. +- ``Multi-horizon capacity expansion planning``: Myopic and/or perfect foresight expansion capabilities which can solve in five-year time steps up to 2050. +- ``Validation test case`` : Benchmarked case studies using existing energy planning results in the public domain such as those developed by the `CSIR `_. +- ``Solar and wind resource assessment`` : Utilises the `Atlite module `_ and `Global Wind Atlas `_ to generate renewable potentials for South Africa’s Renewable Energy Development Zones. +- ``Model file`` : Input excel spreadsheet for easier model input. + +Folder structure +================ + +The content in this package is organized in folders as described below; for more details, please see the documentation. + +- ``data``: Includes input data that is not produced by any ``snakemake`` rule. +- ``scripts``: Includes all the Python scripts executed by the ``snakemake`` rules. +- ``resources``: Stores intermediate results of the workflow which can be picked up again by subsequent rules. +- ``networks``: Stores intermediate, unsolved stages of the PyPSA network that describes the energy system model. +- ``results``: Stores the solved PyPSA network data, summary files and plots. +- ``benchmarks``: Stores ``snakemake`` benchmarks. +- ``logs``: Stores log files about solving, including the solver output, console output and the output of a memory logger. +- ``envs``: Stores the conda environment files to successfully run the workflow. + + +License +======= + +PyPSA-ZA work is released under multiple licenses: + +* All original source code is licensed as free software under `MIT License `_. +* The documentation is licensed under `CC-BY-4.0 `_. +* Configuration files are mostly licensed under `CC0-1.0 `_. +* Data files are licensed under different licenses as noted below. + +Licenses and urls of the data used in PyPSA-ZA: + +.. csv-table:: + :header-rows: 1 + :file: configtables/licenses.csv + + +* *BY: Attribute Source* +* *NC: Non-Commercial Use Only* +* *SA: Share Alike* diff --git a/docs/archive/make.bat b/docs/archive/make.bat new file mode 100644 index 0000000..747ffb7 --- /dev/null +++ b/docs/archive/make.bat @@ -0,0 +1,35 @@ +@ECHO OFF + +pushd %~dp0 + +REM Command file for Sphinx documentation + +if "%SPHINXBUILD%" == "" ( + set SPHINXBUILD=sphinx-build +) +set SOURCEDIR=source +set BUILDDIR=build + +%SPHINXBUILD% >NUL 2>NUL +if errorlevel 9009 ( + echo. + echo.The 'sphinx-build' command was not found. Make sure you have Sphinx + echo.installed, then set the SPHINXBUILD environment variable to point + echo.to the full path of the 'sphinx-build' executable. Alternatively you + echo.may add the Sphinx directory to PATH. + echo. + echo.If you don't have Sphinx installed, grab it from + echo.https://www.sphinx-doc.org/ + exit /b 1 +) + +if "%1" == "" goto help + +%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% +goto end + +:help +%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% + +:end +popd diff --git a/docs/archive/release_notes.rst b/docs/archive/release_notes.rst new file mode 100644 index 0000000..066992c --- /dev/null +++ b/docs/archive/release_notes.rst @@ -0,0 +1,42 @@ +.. + SPDX-FileCopyrightText: 2021 The PyPSA-Earth Authors + + SPDX-License-Identifier: CC-BY-4.0 + +.. _release-notes: + +########################################## +Release Notes +########################################## + + +Upcoming Release +================ + +**New Features and major Changes** + +* List of features + +Release Process +=============== + +* Checkout a new release branch ``git checkout -b release-v0.x.x``. + +* Finalise release notes at ``doc/release_notes.rst``. + +* Update ``envs/environment.fixed.yaml`` via + ``conda env export -n pypsa-za -f envs/environment.fixed.yaml --no-builds`` + from an up-to-date `pypsa-za` environment. + +* Update version number in ``doc/conf.py`` and ``*config.*.yaml``. + +* Open, review and merge pull request for branch ``release-v0.x.x``. + Make sure to close issues and PRs or the release milestone with it (e.g. closes #X). + +* Tag a release on Github via ``git tag v0.x.x``, ``git push``, ``git push --tags``. Include release notes in the tag message. + +* Upload code to `zenodo code repository `_ with `GPLv3 license `_. + +* Create pre-built networks for ``config.default.yaml`` by running ``snakemake -j 1 extra_components_all_networks``. + +* Upload pre-built networks to `zenodo data repository `_ with `CC BY 4.0 `_ license. \ No newline at end of file diff --git a/docs/archive/structure.rst b/docs/archive/structure.rst new file mode 100644 index 0000000..32e6171 --- /dev/null +++ b/docs/archive/structure.rst @@ -0,0 +1,43 @@ +.. + SPDX-FileCopyrightText: 2021 The PyPSA meets Earth authors + + SPDX-License-Identifier: CC-BY-4.0 + +.. _structure: + +########################################## +The structure +########################################## + +The main workflow structure built within PyPSA-Earth is as follows: + +**1. Download and filter data**: first raw input data shall be downloaded. PyPSA-Earth provides automated + procedures to successfully download all the needed data from scratch, such as OpenStreetMap data, + specific potential of renewable sources, population, GDP, etc. Moreover, raw data shall be filtered to remove non-valid data and normalize the data + gathered from multiple sources. + +**2. Populate data**: filtered data are then processed by means of specific methods to derive the + main input data of the optimization methods, such as renewable energy production, demand, etc. + Just to give an example, when the option is enabled, the renewable energy source potential + is transformed into time series for desired locations by using the tool `Atlite `_. + +**3. Create network model**: once the necessary model inputs are drawn, then the network model is + developed using `PyPSA `_ + +**4. Solve network**: execute the optimization for the desired problem, e.g. dispatch, planning, etc. + +**5. Summary and plotting**: once the model has been solved, produce nice summaries and plotting + +.. image:: img/Flowchart_base.png + :width: 80% + :align: center + +The entire execution of the workflow, from point 1 to point 5, relies on +the automated workflow management tool `Snakemake `_ that +iterates the execution of so-called "rules" in an organized way following the input-output chain. +The chart of the entire workflow is shown in the following image for a general overview: each block represent +a snakemake rule. + +.. image:: img/Flowchart_17_11_2021.png + :width: 80% + :align: center diff --git a/docs/archive/tutorials.rst b/docs/archive/tutorials.rst new file mode 100644 index 0000000..85c8ed2 --- /dev/null +++ b/docs/archive/tutorials.rst @@ -0,0 +1,388 @@ +.. + SPDX-FileCopyrightText: 2021 The PyPSA meets Earth authors + + SPDX-License-Identifier: CC-BY-4.0 + +.. _tutorial: + + +########################################## +Tutorial +########################################## + +Before getting started with **PyPSA-ZA** it makes sense to be familiar +with its general modelling framework `PyPSA `__. + +The tutorial uses fewer computing resources than the entire model, allowing the user to explore +the majority of its features on a local computer. + +.. + It takes approximately five minutes to complete and requires 3 GB of memory along with 1 GB free disk space. + +If not yet completed, follow the :ref:`installation` steps first. + +The tutorial will cover examples on how to + +- configure and customise the PyPSA-ZA model and +- step-by-step exucetion of the ``snakemake`` workflow, from network creation through solving the network to analysing the results. + +The ``model_file.xlsx`` and ``config.yaml`` files are utilised to customise the PyPSA-ZA model. The tutorial's configuration is contained in +``model_file_tutorial.xlsx`` and ``config.tutorial.yaml``. Use the configuration and model setup files ``config.yaml`` and ``model_file.xlsx`` to run the tutorial + +.. code:: bash + + .../pypsa-za % cp config.tutorial.yaml config.yaml + .../pypsa-za % cp model_file_tutorial.xlsx model_file.xlsx + +.. + This configuration is set to download a reduced data set via the rules :mod:`retrieve_databundle`, + :mod:`retrieve_natura_raster`, :mod:`retrieve_cutout` totalling at less than 250 MB. + The full set of data dependencies would consume 5.3 GB. + For more information on the data dependencies of PyPSA-ZA, continue reading :ref:`data`. + +How to customise PyPSA-ZA? +============================= + +Model setup: model_file.xlsx +---------------------------- + +The ``model_file.xlsx`` contains databases of existing conventional and renewable power stations owned by Eskom or by IPP's. + +- existing Eskom stations + - scenario + - power station name + - carrier + - carrier type + - status + - capacity (MW) + - unit size (MW) + - number of units + - future commissioning date + - decommissioning date + - heat rate (GJ/MWh) + - fuel price (R/GJ) + - max ramp up (MW/min) + - max ramp down (MW/min) + - min stable level (%) + - variable O&M cost (R/MWh) + - fixed O&M cost (R/MWh) + - pump efficiency (%) + - pump units + - pump load per unit (MW) + - pumped storage - max storage (GWh) + - csp storage (hours) + - diesel storage (Ml) + - gas storage (MCM) + - GPS latitude + - GPS longitude +- existing non-Eskom stations + - scenario + - same as above, in addition: + - grouping +- new build limits + - scenario + - minimum installed limit + - maximum installed limit +- projected parameters + - scenario + - demand + - coal fleet energy availability factor (EAF) + - spinning reserves + - total reserves + - reserve margin + - active reserve margin +- technology costs + - scenario + - discount rate + - heat rate + - efficiency + - fixed O&M + - variable O&M + - investment + - lifetime + - fuel + - CO2 intensity +- model setup + - wildcard + - simulation years + - scenario: existing Eskom stations + - scenario: existing non-Eskom stations + - scenario: new build limits + - scenario: projected parameters + - scenario: costs + + +Configuration: config.yaml +---------------------------- + +The model can be further adapted using the ``config.yaml`` to only include a select number of ``regions`` (e.g. ``1-supply``, ``11-supply`` or ``27-supply``). The tutorial is setup to run the +``1-supply`` which uses a single node for the entire country. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-at: scenario: + :end-before: resarea: + +The model uses the ``regions`` selected to determine the network topology. When the option ``build_topology`` is enabled, the model constructs the network topology. It is necessary to enable this +when running the model for the first time or when changing the ``regions`` tag. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-at: build_topology: + :end-before: build_cutout: + +PyPSA-ZA provides three methods for generating renewable resource data. The tag ``use_eskom_wind_solar`` uses the pu profiles for all wind and solar generators as obtained from Eskom. The +tag ``use_excel_wind_solar`` utilises user specific hourly pu profiles provided in an excel spreadsheet. The tag ``build_renewables_profiles`` enables the model to calculate the temporal and +spatial availability of renewables such as wind and solar energy using historical weather data. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-at: use_eskom_wind_solar: + :end-at: build_renewable_profiles: + +For either three methods historical weather data is used and thus the year in which the data was obtained is specified for each carrier under the tag ``reference_weather_years``. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-at: reference_weather_years: + :end-before: electricity: + +If ``build_renewables_profiles`` is enabled then ``atlite`` is used to generate the renewable resource potential using reanalysis data which can be +downloaded by enabling the ``build_cutout`` tag. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-at: build_cutout: + :end-before: use_eskom_wind_solar: + +The cutout is is configured under the ``atlite`` tag. The options below can be adapted to download weather data for the required range of coordinates surrounding South Africa. +For more details on ``atlite`` please follow the `tutorials `_. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-at: atlite: + :end-before: renewable: + +The spatial resolution of the downloaded ERA5 dataset is given on a 30km x 30km grid. For wind power generation, this spatial resolution is not enough to resolve the local +dynamics. Enabling the ``apply_wind_correction`` tag, uses global wind atlas mean wind speed at 100m to correct the ERA5 data. + +Once the historical weather data is downloaded, ``atlite`` is used to convert the weather data to power systems data. Atlite uses pre-defined or custom turbine properties +which are specified under the ``resource`` tag. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-after: renewable: + :end-at: capacity_per_sqkm: + +Similarly, solar pv profiles are generated using pre-defined or custom panel properties which are specified under the ``resource`` tag. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :lines: 170-177 + +The renewable potentials are calculated for eligible land, excluding the conservation and protected areas. When the ``natura`` tag is enabled, the SACAD and SAPAD shape files located in `data/bundle` are +converted into ``tiff`` files. The conservation and protectected areas together with the areas of land with the ``grid_codes`` specified are excluded from calculation of renewable potential. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-at: salandcover: + :end-at: clip_p_max_pu: + +In addition, the expansion of renewable resources is limited to either the ``redz`` regions or areas close to the strategic transmission ``corridors``. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :lines: 10 + +The hydro power is obtained directly from Eskom data. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-at: hydro_inflow: + :end-at: source: + +Finally, it is possible to pick a solver. For instance, this tutorial uses the open-source solvers CBC and Ipopt and does not rely +on the commercial solvers Gurobi or CPLEX (for which free academic licenses are available). + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-at: solving: + :end-before: plotting: + +.. note:: + + To run the tutorial, either install CBC and Ipopt (see instructions for :ref:`installation`). + + Alternatively, choose another installed solver in the ``config.yaml`` at ``solving: solver:``. + +Note, that we only note major changes to the provided default configuration that is comprehensibly documented in :ref:`config`. +There are many more configuration options beyond what is adapted for the tutorial! + + +A good starting point to customize your model are settings of the default configuration file `config.default`. You may want to do a reserve copy of your current configuration file and then overwrite it by a default configuration: + +.. code:: bash + + .../pypsa-za (pypsa-za) % cp config.default.yaml config.yaml + + +How to execute different parts of the workflow? +=============================================== + +Snakemake is a workflow management tool inherited by PyPSA-ZA from PyPSA-Eur. +Snakemake decomposes a large software process into a set of subtasks, or ’rules’, that are automatically chained to obtain the desired output. + +.. note:: + + ``Snakemake``, which is one of the major dependencies, will be automatically installed in the environment pypsa-za, thereby there is no need to install it manually. + +The snakemake included in the conda environment pypsa-za can be used to execute any custom rule with the following command: + +.. code:: bash + + .../pypsa-za (pypsa-za) % snakemake < your custom rule > + +Starting with essential usability features, the implemented PyPSA-ZA `Snakemake procedure `_ that +allows to flexibly execute the entire workflow with various options without writing a single line of python code. For instance, you can model South Africa's energy system +using the required data. Wildcards, which are special generic keys that can assume multiple values depending on the configuration options, +help to execute large workflows with parameter sweeps and various options. + +You can execute some parts of the workflow in case you are interested in some specific it's parts. +E.g. renewable resource potentials for onshore wind in ``redz`` areas for a single node model may be generated with the following command which refers to the script name: + +.. code:: bash + + .../pypsa-earth (pypsa-earth) % snakemake -j 1 resources/profile_onwind_1-supply_redz.nc + +How to use PyPSA-ZA for your energy problem? +=============================================== + +PyPSA-ZA mostly relies on :ref:`input datasets ` specific to South Africa but can be tailored to represent any part of the world in a few steps. The following procedure is recommended. + +1. Adjust the model configuration +--------------------------------- + +The main parameters needed to customize the inputs for your national-specific data are defined in the :ref:`configuration ` file `config.yaml`. +The configuration settings should be adjusted according to a particular problem you are intending to model. The main country-dependent parameters are: + +* `regions` parameter which defines the network topology; + +* `resareas` parameter which defines zones suitable for renewable expansion based on country specific policies; + +* `cutouts` and `cutout` parameters which refer to a name of the climate data archive (so called `cutout `_) +to be used for calculation of the renewable potential. + +Apart of that, it's worth to check that there is a proper match between the temporal and spatial parameters across the configuration file as it is essential to build the model properly. +Generally, if there are any mysterious error message appearing during the first model run, there are chances that it can be resolved by a simple config check. + +It could be helpful to keep in mind the following points: + +1. the cutout name should be the same across the whole configuration file (there are several entries, one under `atlite` and some under each of the `renewable` parameters); + +2. the country of interest given as a shape file in `data/supply_regions/` should be covered by the cutout area; + +3. the cutout time dimension, the weather year used for demand modelling and the actual snapshot should match. + +2. Build the custom cutout +-------------------------- + +The cutout is the main concept of climate data management in PyPSA ecosystem introduced in `atlite `_ package. +The cutout is an archive containing a spatio-temporal subset of one or more topology and weather datasets. Since such datasets are typically global +and span multiple decades, the Cutout class allows atlite to reduce the scope to a more manageable size. More details about the climate data processing +concepts are contained in `JOSS paper `_. + +The pre-built cutout for South Africa is available for 2012 year and can be loaded directly from zenodo through the rule `retrieve_cutout`. + +In case you are interested in other parts of the world you have to generate a cutout yourself using the `build_cutouts` rule. To run it you will need to: + +1. be registered on the `Copernicus Climate Data Store `_; + +2. install `cdsapi` package (can be installed with `pip`); + +3. setup your CDS API key as described `on their website `_. + +These steps are required to use CDS API which allows an automatic file download while executing `build_cutouts` rule. + +Normally cutout extent is calculated from the shape of the requested region defined by the `countries` parameter in the configuration file `config.yaml`. +It could make sense to set the countries list as big as it's feasible when generating a cutout. A considered area can be narrowed anytime when building +a specific model by adjusting content of the `countries` list. + +There is also option to set the cutout extent specifying `x` and `y` values directly. However, these values will overwrite values extracted from the countries +shape. Which means that nothing prevents `build_cutout` to extract data which has no relation to the requested countries. Please use direct definition of `x` +and `y` only if you really understand what and why you are doing. + +The `build_cutout` flag should be set `true` to generate the cutout. After the cutout is ready, it's recommended to set `build_cutout` to `false` to avoid overwriting the existing cutout by accident. + +3. Build a natura.tiff raster +----------------------------- + +A raster file `natura.tiff` is used to store shapes of the protected and reserved nature areas. Such landuse restrictions can be taking into account when calculating the +renewable potential with `build_renewable_profiles`. + +.. note:: + Skip this recommendation if the region of your interest is within Africa + +A pre-built `natura.tiff` is loaded along with other data needed to run a model with `retrieve_databundle_light` rule. Currently this raster is valid for Africa, +global `natura.tiff` raster is under development. You may generate the `natura.tiff` for a region of interest using `build_natura_raster` rule which aggregates +data on protected areas along the cutout extent. + +.. + How to validate? + ================ + + .. TODO add a list of actions needed to do the validation + + To validate the data obtained with PyPSA-Earth, we recommend to go through the procedure here detailed. An exampled of the validation procedure is available in the `Nigeria validation `_ notebook. Public information on the power system of Nigeria are compared to those obtained from the PyPSA-Earth model. + + Simulation procedure + -------------------- + + It may be recommended to check the following quantities the validation: + + #. inputs used by the model: + + #. network characteristics; + + #. substations; + + #. installed generation by type; + + #. outputs of the simulation: + + #. demand; + + #. energy mix. + + Where to look for reference data + -------------------------------- + + Data availability for many parts of the world is still quite limited. Usually the best sources to compare with are regional data hubs. There is also a collection of harmonized datasets curated by the international organisations. A non-exhaustive list of helpful sources: + + * `World Bank `_; + + * International Renewable Energy Agency `IRENA `_; + + * International Energy Agency `IEA `_; + + * `BP `_ Statistical Review of World Energy; + + * International Energy Agency `IEA `_; + + * `Ember `_ Data Explorer. + +.. + Advanced validation examples + ---------------------------- + + The following validation notebooks are worth a look when validating your energy model: + + 1. A detailed `network validation `_. + + 2. Analys of `the installed capacity `_ for the considered area. + + 3. Validation of `the power demand `_ values and profile. + + 4. Validation of `hydro `_, `solar and wind `_ potentials. + + +.. include:: ./how_to_docs.rst diff --git a/docs/archive/wildcards.rst b/docs/archive/wildcards.rst new file mode 100644 index 0000000..46c3a4d --- /dev/null +++ b/docs/archive/wildcards.rst @@ -0,0 +1,150 @@ +.. + SPDX-FileCopyrightText: 2019-2020 The PyPSA-Eur Authors + + SPDX-License-Identifier: CC-BY-4.0 + +.. _wildcards: + +######### +Wildcards +######### + +It is easy to run PyPSA-ZA for multiple scenarios using the wildcards feature of ``snakemake``. +Wildcards allow to generalise a rule to produce all files that follow a regular expression pattern +which e.g. defines one particular scenario. One can think of a wildcard as a parameter that shows +up in the input/output file names of the ``Snakefile`` and thereby determines which rules to run, +what data to retrieve and what files to produce. + +Detailed explanations of how wildcards work in ``snakemake`` can be found in the +`relevant section of the documentation `_. + +.. _resarea: + +The ``{resarea}`` wildcard +========================== + +The ``{resarea}`` wildcard specifies whether to contrain renewable generators to `Renewable Energy Development Zones `_ or strategic transmission corridors. + +.. csv-table:: + :header-rows: 1 + :widths: 10,20,10,10 + :file: configtables/resarea.csv + +.. _model_file: + +The ``{model_file}`` wildcard +============================= + +The ``{model_file}`` wildcard specifies the technology cost assumptions to use from the input spreadsheet. +Cost assumptions in model_file.xlsx + +.. csv-table:: + :header-rows: 1 + :widths: 10,20,10,10 + :file: configtables/model_setup.csv + +.. _ll: + +The ``{ll}`` wildcard +===================== + +The ``{ll}`` wildcard specifies what limits on +line expansion are set for the optimisation model. +It is handled in the rule :mod:`prepare_network`. + +The wildcard, in general, consists of two parts: + + 1. The first part can be + ``v`` (for setting a limit on line volume) or + ``c`` (for setting a limit on line cost) + + 2. The second part can be + ``opt`` or a float bigger than one (e.g. 1.25). + + (a) If ``opt`` is chosen line expansion is optimised + according to its capital cost + (where the choice ``v`` only considers overhead costs for HVDC transmission lines, while + ``c`` uses more accurate costs distinguishing between + overhead and underwater sections and including inverter pairs). + + (b) ``v1.25`` will limit the total volume of line expansion + to 25 % of currently installed capacities weighted by + individual line lengths; investment costs are neglected. + + (c) ``c1.25`` will allow to build a transmission network that + costs no more than 25 % more than the current system. + +.. _opts: + +The ``{opts}`` wildcard +======================= + +The ``{opts}`` wildcard triggers optional constraints, which are activated in either +:mod:`prepare_network` or the :mod:`solve_network` step. +It may hold multiple triggers separated by ``-``, i.e. ``Co2L-3H`` contains the +``Co2L`` trigger and the ``3H`` switch. There are currently: + + +.. csv-table:: + :header-rows: 1 + :widths: 10,20,10,10 + :file: configtables/opts.csv + +.. _regions: + +The ``{regions}`` wildcard +========================== + +The PyPSA-ZA models can be narrowed to various number of nodes using the ``{regions}`` wildcard. + +If ``regions=27-supply``, then the rule :mod:`build_topology` setups 27 nodes based on the shape files. +If otherwise ``regions=RSA``, ``regions=9-supply``, ``regions=10-supply``, then the network is narrowed to n number of buses for the South African network. + + +.. _cutout_wc: + +The ``{cutout}`` wildcard +========================= + +The ``{cutout}`` wildcard facilitates running the rule :mod:`build_cutout` +for all cutout configurations specified under ``atlite: cutouts:``. +These cutouts will be stored in a folder specified by ``{cutout}``. + +.. _technology: + +The ``{technology}`` wildcard +============================= + +The ``{technology}`` wildcard specifies for which renewable energy technology to produce availability time +series and potentials using the rule :mod:`build_renewable_profiles`. +It can take the values ``onwind`` and ``solar`` but **not** ``hydro`` +(since hydroelectric plant profiles are created by a different rule). + +The wildcard can moreover be used to create technology specific figures and summaries. +For instance ``{technology}`` can be used to plot regionally disaggregated potentials +with the rule :mod:`plot_p_nom_max`. + +.. _attr: + +The ``{attr}`` wildcard +======================= + +The ``{attr}`` wildcard specifies which attribute is used for size +representations of network components on a map plot produced by the rule +:mod:`plot_network`. While it might be extended in the future, ``{attr}`` +currently only supports plotting of ``p_nom``. + +.. _ext: + +The ``{ext}`` wildcard +====================== + +The ``{ext}`` wildcard specifies the file type of the figures the +rule :mod:`plot_network` produce. +Typical examples are ``pdf`` and ``png``. The list of supported file +formats depends on the used backend. To query the supported file types on your system, issue: + +.. code:: python + + import matplotlib.pyplot as plt + plt.gcf().canvas.get_supported_filetypes() diff --git a/docs/archive/workflow.rst b/docs/archive/workflow.rst new file mode 100644 index 0000000..a2844ad --- /dev/null +++ b/docs/archive/workflow.rst @@ -0,0 +1,109 @@ +.. + SPDX-FileCopyrightText: 2021 The PyPSA-ZA authors + + SPDX-License-Identifier: CC-BY-4.0 + +.. _workflow: + +########################################## +Workflow +########################################## + +Structure +=========== + +The main workflow structure of PyPSA-ZA is as follows: + +**1. Input data**: The input data includes GIS data, generator data, and data on renewable resources. +The input GIS data is included with the model and may be found in the 'data/bundle/' folder. The generator +data is loaded into the model through the `model file.xlsx` found in the root directory, which comprises +information on current Eskom generators, existing Independent Power Producer (IPP) generators, +and the corresponding technology costs. The model constraints on annual new build limits are also given in `model file.xlsx`. + +**2. Populate data**: data is then processed by means of specific methods to derive the + main input data of the optimization methods, such as renewable energy production, demand, coal fleet EAF etc. + Using the tool `Atlite https://github.com/PyPSA/atlite/>`_, renewable energy resource potential is translated + into time series for either the `redz` or `corridors` when the option is enabled. + +**3. Create network model**: once the necessary model inputs are drawn, then the network model is developed using `PyPSA `_ + +**4. Solve network**: execute the optimization for the desired problem, e.g. dispatch, planning, etc. + +**5. Summary and plotting**: once the model has been solved, produce nice summaries and plotting + +.. image:: img/workflow_descriptive.png + :width: 80% + :align: center + +The entire execution of the workflow, from point 1 to point 5, relies on +the automated workflow management tool `Snakemake `_ that +iterates the execution of so-called "rules" in an organized way following the input-output chain. + +Snakemake +========== + +The generation of the model is controlled by the workflow management system `Snakemake `_. In a nutshell, +the ``Snakefile`` declares for each python script in the ``scripts`` directory a rule which describes which files the scripts consume and +produce (their corresponding input and output files). The ``snakemake`` tool then runs the scripts in the correct order according to the +rules' input/output dependencies. Moreover, it is able to track, what parts of the workflow have to be regenerated, when a data file or a +script is modified/updated. For example, by executing the following snakemake routine + +.. code:: bash + + .../pypsa-za % snakemake -j results/networks/solved_CSIR-ambitions_9-supply_redz_lcopt_LC-1H.nc + +the following workflow is automatically executed. + +.. image:: img/workflow.png + :align: center + +The **blocks** represent the individual rules which are required to create the file ``results/networks/solved_CSIR-ambitions_9-supply_redz_lcopt_LC-1H.nc``. +Each rule requires scripts (e.g. Python) to convert inputs to outputs. +The **arrows** indicate the outputs from preceding rules which a particular rule takes as input data. + +.. note:: + For reproducibility purposes, the image can be obtained through + ``snakemake --dag results/networks/solved_CSIR-ambitions_9-supply_redz_lcopt_LC-1H.nc | dot -Tpng -o workflow.png`` + using `Graphviz `_ + +Customize the scenario excel input file +======================================= + +In order to make the PyPSA-ZA model accessible to a larger audience than just developers and users +who do not know Python, the input data into PyPSA-ZA is entered via an Excel spreadsheet to aid with +scenario configuration. The excel spreadsheet `model_file.xlsx` is located in the root directory and consists of +the following sheets: + +``model_setup``: Summarizes the capacity from eskom and non-eskom generators, new build limits, projections on annual demand, +coal fleat Energy Availability Factor (EAF) and reserves(total and fast) + +``existing_eskom``: Gives the capacity of conventional and non-conventional Eskom generators, decommissioning rates, + +.. csv-table:: + :header-rows: 1 + :widths: auto + :class: longtable + :file: configtables/existing_eskom.csv + + +``existing_non-eskom``: Gives the capacity of conventional and non-conventional non-eskom generators, decommissioning rates, + +.. csv-table:: + :header-rows: 1 + :file: configtables/existing_non_eskom.csv + +``new_build_limits``: Gives the `max_installed_limit` and `min_installed_limit` in MW assumed for a scenario for all conventional and non-conventional +carriers for each year in the planning horizon. A `max_installed_limit` is given as `0`for a given year for a carrier implies that the there is no new +build for that particilar year for the carrier. + +.. csv-table:: + :header-rows: 1 + :file: configtables/new_build_limits.csv + +``projected_parameters``: + +.. csv-table:: + :header-rows: 1 + :file: configtables/projected_parameters.csv + +``costs``: diff --git a/docs/conf.py b/docs/conf.py new file mode 100644 index 0000000..ed1b3e2 --- /dev/null +++ b/docs/conf.py @@ -0,0 +1,332 @@ +# -*- coding: utf-8 -*- +# SPDX-FileCopyrightText: 20017-2020 The PyPSA-Eur Authors +# +# SPDX-License-Identifier: MIT + +# -*- coding: utf-8 -*- +# +# PyPSA documentation build configuration file, created by +# sphinx-quickstart on Tue Jan 5 10:04:42 2016. +# +# This file is execfile()d with the current directory set to its +# containing dir. +# +# Note that not all possible configuration values are present in this +# autogenerated file. +# +# All configuration values have a default; values that are commented out +# serve to show the default. + +import os +import shlex +import sys +import datetime + +# If extensions (or modules to document with autodoc) are in another directory, +# add these directories to sys.path here. If the directory is relative to the +# documentation root, use os.path.abspath to make it absolute, like shown here. +sys.path.insert(0, os.path.abspath("../scripts")) + +# -- General configuration ------------------------------------------------ + +# If your documentation needs a minimal Sphinx version, state it here. +# needs_sphinx = '1.0' + +# Add any Sphinx extension module names here, as strings. They can be +# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom +# ones. +extensions = [ + 'sphinx.ext.autodoc', + 'sphinx.ext.autosummary', + "sphinx.ext.intersphinx", + "sphinx.ext.todo", + "sphinx.ext.mathjax", + "sphinx.ext.napoleon", + "sphinx.ext.graphviz", + #'sphinx.ext.pngmath', + #'sphinxcontrib.tikz', + #'rinoh.frontend.sphinx', + "sphinx.ext.imgconverter", # for SVG conversion +] +numfig = True # optional + +autodoc_default_flags = ["members"] +autosummary_generate = True + +# Add any paths that contain templates here, relative to this directory. +templates_path = ["_templates"] + +# The suffix(es) of source filenames. +# You can specify multiple suffix as a list of string: +# source_suffix = ['.rst', '.md'] +source_suffix = ".rst" + +# The encoding of source files. +# source_encoding = 'utf-8-sig' + +# The master toctree document. +master_doc = "index" + +# General information about the project. +project = "PyPSA-RSA" +author = "Meridian Economics" +copyright = f"{datetime.datetime.today().year}, {author}" + + +# The version info for the project you're documenting, acts as replacement for +# |version| and |release|, also used in various other places throughout the +# built documents. +# +# The short X.Y version. +#version = "0.6" +# The full version, including alpha/beta/rc tags. +#release = "0.6.1" + +# The language for content autogenerated by Sphinx. Refer to documentation +# for a list of supported languages. +# +# This is also used if you do content translation via gettext catalogs. +# Usually you set "language" from the command line for these cases. +language = "en_GB" + +# There are two options for replacing |today|: either, you set today to some +# non-false value, then it is used: +# today = '' +# Else, today_fmt is used as the format for a strftime call. +# today_fmt = '%B %d, %Y' + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +exclude_patterns = ["_build"] + +# The reST default role (used for this markup: `text`) to use for all +# documents. +# default_role = None + +# If true, '()' will be appended to :func: etc. cross-reference text. +# add_function_parentheses = True + +# If true, the current module name will be prepended to all description +# unit titles (such as .. function::). +# add_module_names = True + +# If true, sectionauthor and moduleauthor directives will be shown in the +# output. They are ignored by default. +# show_authors = False + +# The name of the Pygments (syntax highlighting) style to use. +pygments_style = "sphinx" + +# A list of ignored prefixes for module index sorting. +# modindex_common_prefix = [] + +# If true, keep warnings as "system message" paragraphs in the built documents. +# keep_warnings = False + +# If true, `todo` and `todoList` produce output, else they produce nothing. +todo_include_todos = True + + +# -- Options for HTML output ---------------------------------------------- + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +html_theme = "sphinx_rtd_theme" + +# Theme options are theme-specific and customize the look and feel of a theme +# further. For a list of options available for each theme, see the +# documentation. +html_theme_options = { + "display_version": True, + "sticky_navigation": True, +} + + +# Add any paths that contain custom themes here, relative to this directory. +# html_theme_path = [] + +# The name for this set of Sphinx documents. If None, it defaults to +# " v documentation". +# html_title = None + +# A shorter title for the navigation bar. Default is the same as html_title. +# html_short_title = None + +# The name of an image file (relative to this directory) to place at the top +# of the sidebar. +# html_logo = None + +# The name of an image file (within the static ) to use as favicon of the +# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 +# pixels large. +# html_favicon = None + +# These folders are copied to the documentation's HTML output +html_static_path = ["_static"] + +# These paths are either relative to html_static_path +# or fully qualified paths (eg. https://...) +html_css_files = ["theme_overrides.css"] + +# Add any extra paths that contain custom files (such as robots.txt or +# .htaccess) here, relative to this directory. These files are copied +# directly to the root of the documentation. +# html_extra_path = [] + +# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, +# using the given strftime format. +# html_last_updated_fmt = '%b %d, %Y' + +# If true, SmartyPants will be used to convert quotes and dashes to +# typographically correct entities. +# html_use_smartypants = True + +# Custom sidebar templates, maps document names to template names. +# html_sidebars = {} + +# Additional templates that should be rendered to pages, maps page names to +# template names. +# html_additional_pages = {} + +# If false, no module index is generated. +# html_domain_indices = True + +# If false, no index is generated. +# html_use_index = True + +# If true, the index is split into individual pages for each letter. +# html_split_index = False + +# If true, links to the reST sources are added to the pages. +# html_show_sourcelink = True + +# If true, "Created using Sphinx" is shown in the HTML footer. Default is True. +# html_show_sphinx = True + +# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. +# html_show_copyright = True + +# If true, an OpenSearch description file will be output, and all pages will +# contain a tag referring to it. The value of this option must be the +# base URL from which the finished HTML is served. +# html_use_opensearch = '' + +# This is the file name suffix for HTML files (e.g. ".xhtml"). +# html_file_suffix = None + +# Language to be used for generating the HTML full-text search index. +# Sphinx supports the following languages: +# 'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja' +# 'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr' +# html_search_language = 'en' + +# A dictionary with options for the search language support, empty by default. +# Now only 'ja' uses this config value +# html_search_options = {'type': 'default'} + +# The name of a javascript file (relative to the configuration directory) that +# implements a search results scorer. If empty, the default will be used. +# html_search_scorer = 'scorer.js' + +# Output file base name for HTML help builder. +htmlhelp_basename = "PyPSAZadoc" + +# -- Options for LaTeX output --------------------------------------------- + +latex_elements = { + # The paper size ('letterpaper' or 'a4paper'). + #'papersize': 'letterpaper', + # The font size ('10pt', '11pt' or '12pt'). + #'pointsize': '10pt', + # Additional stuff for the LaTeX preamble. + #'preamble': '', + # Latex figure (float) alignment + #'figure_align': 'htbp', +} + +# Grouping the document tree into LaTeX files. List of tuples +# (source start file, target name, title, +# author, documentclass [howto, manual, or own class]). +latex_documents = [ + (master_doc, "PyPSA-ZA.tex", "PyPSA-ZA Documentation", "author", "manual"), +] + + +# Added for rinoh http://www.mos6581.org/rinohtype/quickstart.html +rinoh_documents = [ + ( + master_doc, # top-level file (index.rst) + "PyPSA-ZA", # output (target.pdf) + "PyPSA-ZA Documentation", # document title + "author", + ) +] # document author + + +# The name of an image file (relative to this directory) to place at the top of +# the title page. +# latex_logo = None + +# For "manual" documents, if this is true, then toplevel headings are parts, +# not chapters. +# latex_use_parts = False + +# If true, show page references after internal links. +# latex_show_pagerefs = False + +# If true, show URL addresses after external links. +# latex_show_urls = False + +# Documents to append as an appendix to all manuals. +# latex_appendices = [] + +# If false, no module index is generated. +# latex_domain_indices = True + + +# -- Options for manual page output --------------------------------------- + +# One entry per manual page. List of tuples +# (source start file, name, description, authors, manual section). +man_pages = [(master_doc, "pypsa-za", "PyPSA-ZA Documentation", [author], 1)] + +# If true, show URL addresses after external links. +# man_show_urls = False + + +# -- Options for Texinfo output ------------------------------------------- + +# Grouping the document tree into Texinfo files. List of tuples +# (source start file, target name, title, author, +# dir menu entry, description, category) +texinfo_documents = [ + ( + master_doc, + "PyPSA-ZA", + "PyPSA-ZA Documentation", + author, + "PyPSA-ZA", + "One line description of project.", + "Miscellaneous", + ), +] + +# Documents to append as an appendix to all manuals. +# texinfo_appendices = [] + +# If false, no module index is generated. +# texinfo_domain_indices = True + +# How to display URL addresses: 'footnote', 'no', or 'inline'. +# texinfo_show_urls = 'footnote' + +# If true, do not generate a @detailmenu in the "Top" node's menu. +# texinfo_no_detailmenu = False + + +# Example configuration for intersphinx: refer to the Python standard library. +#intersphinx_mapping = {"https://docs.python.org/": None} + +intersphinx_mapping = { + 'python': ('https://docs.python.org/3', None), +} \ No newline at end of file diff --git a/docs/configtables/atlite.csv b/docs/configtables/atlite.csv new file mode 100644 index 0000000..2475c81 --- /dev/null +++ b/docs/configtables/atlite.csv @@ -0,0 +1,9 @@ +,Unit,Values,Description +nprocesses,--,int,"Number of parallel processes in cutout preparation" +cutouts,,, +-- {name},--,"Convention is to name cutouts like ``--`` (e.g. ``europe-2013-era5``).","Name of the cutout netcdf file. The user may specify multiple cutouts under configuration ``atlite: cutouts:``. Reference is used in configuration ``renewable: {technology}: cutout:``. The cutout ``base`` may be used to automatically calculate temporal and spatial bounds of the network." +-- -- module,--,"Subset of {'era5','sarah'}","Source of the reanalysis weather dataset (e.g. `ERA5 `_ or `SARAH-2 `_)" +-- -- x,°,"Float interval within [-180, 180]","Range of longitudes to download weather data for. If not defined, it defaults to the spatial bounds of all bus shapes." +-- -- y,°,"Float interval within [-90, 90]","Range of latitudes to download weather data for. If not defined, it defaults to the spatial bounds of all bus shapes." +-- -- time,,"Time interval within ['1979', '2018'] (with valid pandas date time strings)","Time span to download weather data for. If not defined, it defaults to the time interval spanned by the snapshots." +-- -- features,,"String or list of strings with valid cutout features ('inlfux', 'wind').","When freshly building a cutout, retrieve data only for those features. If not defined, it defaults to all available features." \ No newline at end of file diff --git a/docs/configtables/costs.csv b/docs/configtables/costs.csv new file mode 100644 index 0000000..7c72771 --- /dev/null +++ b/docs/configtables/costs.csv @@ -0,0 +1,9 @@ +,Unit,Values,Description +year,--,"YYYY; e.g. '2030'","Year for which to retrieve cost assumptions of ``resources/costs.csv``." +version,--,"vX.X.X; e.g. 'v0.1.0'","Version of ``technology-data`` repository to use." +rooftop_share,--,float,"Share of rooftop PV when calculating capital cost of solar (joint rooftop and utility-scale PV)." +fill_values,--,float,"Default values if not specified for a technology in ``resources/costs.csv``." +capital_cost,EUR/MW,"Keys should be in the 'technology' column of ``resources/costs.csv``. Values can be any float.","For the given technologies, assumptions about their capital investment costs are set to the corresponding value. Optional; overwrites cost assumptions from ``resources/costs.csv``." +marginal_cost,EUR/MWh,"Keys should be in the 'technology' column of ``resources/costs.csv``. Values can be any float.","For the given technologies, assumptions about their marginal operating costs are set to the corresponding value. Optional; overwrites cost assumptions from ``resources/costs.csv``." +emission_prices,,,"Specify exogenous prices for emission types listed in ``network.carriers`` to marginal costs." +-- co2,EUR/t,float,"Exogenous price of carbon-dioxide added to the marginal costs of fossil-fuelled generators according to their carbon intensity. Added through the keyword ``Ep`` in the ``{opts}`` wildcard only in the rule :mod:`prepare_network``." \ No newline at end of file diff --git a/docs/configtables/electricity.csv b/docs/configtables/electricity.csv new file mode 100644 index 0000000..f160014 --- /dev/null +++ b/docs/configtables/electricity.csv @@ -0,0 +1,29 @@ +,Unit,Values,Description +voltages,kV,"Any subset of {220., 300., 380.}",Voltage levels to consider +gaslimit,MWhth,"float or false",Global gas usage limit +co2limit,:math:`t_{CO_2-eq}/a`,float,Cap on total annual system carbon dioxide emissions +co2base,:math:`t_{CO_2-eq}/a`,float,Reference value of total annual system carbon dioxide emissions if relative emission reduction target is specified in ``{opts}`` wildcard. +agg_p_nom_limits,file,path,Reference to ``.csv`` file specifying per carrier generator nominal capacity constraints for individual countries if ``'CCL'`` is in ``{opts}`` wildcard. Defaults to ``data/agg_p_nom_minmax.csv``. +operational_reserve,,,"Settings for reserve requirements following like `GenX `_" +-- activate,bool,"true or false","Whether to take operational reserve requirements into account during optimisation" +-- epsilon_load,--,float,share of total load +-- epsilon_vres,--,float,share of total renewable supply +-- contingency,MW,float,fixed reserve capacity +max_hours,,, +-- battery,h,float,Maximum state of charge capacity of the battery in terms of hours at full output capacity ``p_nom``. Cf. `PyPSA documentation `_. +-- H2,h,float,Maximum state of charge capacity of the hydrogen storage in terms of hours at full output capacity ``p_nom``. Cf. `PyPSA documentation `_. +extendable_carriers,,, +-- Generator,--,"Any extendable carrier","Defines existing or non-existing conventional and renewable power plants to be extendable during the optimization. Conventional generators can only be built/expanded where already existent today. If a listed conventional carrier is not included in the ``conventional_carriers`` list, the lower limit of the capacity expansion is set to 0." +-- StorageUnit,--,"Any subset of {'battery','H2'}",Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity. +-- Store,--,"Any subset of {'battery','H2'}",Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity. +-- Link,--,Any subset of {'H2 pipeline'},Adds extendable links (H2 pipelines only) at every connection where there are lines or HVDC links without capacity limits and with zero initial capacity. Hydrogen pipelines require hydrogen storage to be modelled as ``Store``. +powerplants_filter,--,"use `pandas.query `_ strings here, e.g. Country not in ['Germany']",Filter query for the default powerplant database. +custom_powerplants,--,"use `pandas.query `_ strings here, e.g. Country in ['Germany']",Filter query for the custom powerplant database. +conventional_carriers,--,"Any subset of {nuclear, oil, OCGT, CCGT, coal, lignite, geothermal, biomass}","List of conventional power plants to include in the model from ``resources/powerplants.csv``. If an included carrier is also listed in `extendable_carriers`, the capacity is taken as a lower bound." +renewable_carriers,--,"Any subset of {solar, onwind, offwind-ac, offwind-dc, hydro}",List of renewable generators to include in the model. +estimate_renewable_capacities,,, +-- enable,,bool,"Activate routine to estimate renewable capacities" +-- from_opsd,--,bool,"Add capacities from OPSD data" +-- year,--,bool,"Renewable capacities are based on existing capacities reported by IRENA for the specified year" +-- expansion_limit,--,float or false,"Artificially limit maximum capacities to factor * (IRENA capacities), i.e. 110% of 's capacities => expansion_limit: 1.1 false: Use estimated renewable potentials determine by the workflow" +-- technology_mapping,,,"Mapping between powerplantmatching and PyPSA-Eur technology names" diff --git a/docs/configtables/existing_eskom.csv b/docs/configtables/existing_eskom.csv new file mode 100644 index 0000000..ff837e5 --- /dev/null +++ b/docs/configtables/existing_eskom.csv @@ -0,0 +1,42 @@ +Scenario,Power Station Name,Carrier,Type,Status,Capacity (MW),Unit size (MW),Number units,Future Commissioning Date,Decommissioning Date,Heat Rate (GJ/MWh),Fuel Price (R/GJ),Max Ramp Up (MW/min),Max Ramp Down (MW/min),Min Stable Level (%),Variable O&M Cost (R/MWh),Fixed O&M Cost (R/kW/yr),Pump Efficiency (%),Pump Units,Pump Load per unit (MW),Pumped Storage - Max Storage (GWh),CSP Storage (hours),Diesel Storage (Ml),Gas storage (MCM),GPS Latitude,GPS Longitude +base,Arnot*,coal,Generator,Existing,1116,372,3,-,2027,13.397,25.9,2.1,2.1,30%,98,1133,-,-,-,-,-,,,-25.94444,29.79166 +base,Arnot**,coal,Generator,Existing,1116,372,3,-,2030,13.397,25.9,2.1,2.1,30%,98,1133,-,-,-,-,-,0,0,-25.94444,29.79166 +base,Camden*,coal,Generator,Existing,740,370,2,-,2022,14,32,1,1,30%,98,1133,-,-,-,-,-,,,-26.62007,30.09113 +base,Camden**,coal,Generator,Existing,370,370,1,-,2024,14,32,1,1,30%,98,1133,-,-,-,-,-,,,-26.62007,30.09113 +base,Duvha*,coal,Generator,Existing,1150,575,2,-,2032,12.685,18,3.3,3.3,30%,98,1133,-,-,-,-,-,,,-25.95954,29.34094 +base,Duvha**,coal,Generator,Existing,1725,575,3,,2035,12.685,18,3.3,3.3,30%,98,1133,-,-,-,-,-,0,0,-25.95954,29.34094 +base,Grootvlei*,coal,Generator,Existing,286,143,2,-,2019,14.497,29.8,0.9,0.9,30%,98,1133,-,-,-,-,-,,,-26.76955,28.49951 +base,Grootvlei**,coal,Generator,Existing,286,143,2,,2020,14.497,29.8,0.9,0.9,30%,98,1133,-,-,-,-,-,0,0,-26.76955,28.49951 +base,Hendrina*,coal,Generator,Existing,440,110,4,-,2021,13.946,28.7,1.1,1.1,30%,98,1133,-,-,-,-,-,,,-26.03138,29.60138 +base,Hendrina**,coal,Generator,Existing,440,110,4,,2023,13.946,28.7,1.1,1.1,30%,98,1133,-,-,-,-,-,0,0,-26.03138,29.60138 +base,Kendal*,coal,Generator,Existing,1920,640,3,-,2041,12.385,24.3,1.8,1.8,30%,98,1133,-,-,-,-,-,,,-26.08805,28.96888 +base,Kendal**,coal,Generator,Existing,1920,640,3,,2044,12.385,24.3,1.8,1.8,30%,98,1133,-,-,-,-,-,0,0,-26.08805,28.96888 +base,Komati,coal,Generator,Existing,114,114,1,-,2022,15.898,34.7,0.5,0.5,30%,98,1133,-,-,-,-,-,,,-26.09078,29.47446 +base,Kriel*,coal,Generator,Existing,1425,475,3,-,2024,12.925,28.6,3.6,3.6,30%,98,1133,-,-,-,-,-,,,-26.25404,29.18008 +base,Kriel**,coal,Generator,Existing,1425,475,3,,2028,12.925,28.6,3.6,3.6,30%,98,1133,-,-,-,-,-,0,0,-26.25404,29.18008 +base,Kusile*,coal,Generator,Existing,2880,720,4,-,beyond 2050,9.812,31.6,7.2,7.2,30%,98,1133,-,-,-,-,-,,,-25.5459,28.5502 +base,Kusile**,coal,Generator,Existing,720,720,1,2023,beyond 2050,9.812,31.6,7.2,7.2,30%,98,1133,-,-,-,-,-,0,0,-25.5459,28.5502 +base,Kusile***,coal,Generator,Existing,720,720,1,2024,beyond 2050,9.812,31.6,7.2,7.2,30%,98,1133,-,-,-,-,-,0,0,-25.5459,28.5502 +base,Lethabo*,coal,Generator,Existing,1779,593,3,-,2039,11.566,14.4,5.9,5.9,30%,98,1133,-,-,-,-,-,,,-26.74027,27.975 +base,Lethabo**,coal,Generator,Existing,1779,593,3,,2042,11.566,14.4,5.9,5.9,30%,98,1133,-,-,-,-,-,0,0,-26.74027,27.975 +base,Majuba*,coal,Generator,Existing,1833,611,3,-,2031,12.385,32.1,1.7,1.7,30%,98,1133,-,-,-,-,-,,,-27.09555,29.77055 +base,Majuba**,coal,Generator,Existing,2010,670,3,-,2050,11.597,32.1,1.9,1.9,30%,98,1133,-,-,-,-,-,,,-27.09555,29.77055 +base,Matimba*,coal,Generator,Existing,1845,615,3,-,2040,12.281,17.5,3,3,30%,98,1133,-,-,-,-,-,,,-23.66777,27.61277 +base,Matimba**,coal,Generator,Existing,1845,615,3,,2043,12.281,17.5,3,3,30%,98,1133,-,-,-,-,-,0,0,-23.66777,27.61277 +base,Matla*,coal,Generator,Existing,1725,575,3,-,2032,12.685,30.2,2.4,2.4,30%,98,1133,-,-,-,-,-,,,-26.28036,29.14229 +base,Matla**,coal,Generator,Existing,1725,575,3,,2034,12.685,30.2,2.4,2.4,30%,98,1133,-,-,-,-,-,0,0,-26.28036,29.14229 +base,Medupi*,coal,Generator,Existing,3615,723,5,-,beyond 2050,9.812,21.4,7.2,7.2,30%,98,1133,-,-,-,-,-,,,-23.42,27.33 +base,Medupi**,coal,Generator,Existing,723,723,1,,beyond 2050,9.812,21.4,7.2,7.2,30%,98,1133,-,-,-,-,-,0,0,-23.42,27.33 +base,Tutuka*,coal,Generator,Existing,1755,585,3,-,2040,11.506,32.3,3.2,3.2,30%,98,1133,-,-,-,-,-,,,-26.77565,29.35212 +base,Tutuka**,coal,Generator,Existing,1755,585,3,,2042,11.506,32.3,3.2,3.2,30%,98,1133,-,-,-,-,-,0,0,-26.77565,29.35212 +base,Sere,onwind,Generator,Existing,100,2,50,-,2034,-,-,-,-,30%,737,0,-,-,-,-,-,,,-31.5018,18.1143 +base,Koeberg,nuclear,Generator,Existing,1854,930,2,-,2047,11.111,8.5,-,-,30%,45,1187,-,-,-,-,-,,,-33.67366,18.42811 +base,Drakensberg,PHS,StorageUnit,Existing,1000,250,4,-,beyond 2050,-,-,-,-,30%,0.0001,222,73.7%,4,250,21.7,-,,,-28.56283,29.08275 +base,Ingula,PHS,StorageUnit,Existing,1332,333,4,-,beyond 2050,-,-,-,-,30%,0.0002,2796,78.0%,4,333,27.4,-,,,-28.165,29.3512 +base,Palmiet,PHS,StorageUnit,Existing,400,200,2,-,beyond 2050,-,-,-,-,30%,0.0003,222,77.9%,2,200,10,-,,,-34.19722,18.97361 +base,Gariep,hydro,Generator,Existing,360,90,4,-,beyond 2050,-,-,-,-,30%,350,0,-,-,-,-,-,,,-30.62396,25.50403 +base,Vanderkloof,hydro,Generator,Existing,240,120,2,-,beyond 2050,-,-,-,-,30%,350,0,-,-,-,-,-,,,-29.99337,24.73384 +base,Acacia,diesel,Generator,Existing,171,57,3,-,2026,11.519,284.4,3.4,3.4,30%,3,196,-,-,-,-,-,,,-33.88408,18.53361 +base,Ankerlig,diesel,Generator,Existing,1332,148,9,-,2039,11.519,263.4,9,9,30%,3,196,-,-,-,-,-,,,-33.592,18.4607 +base,Gourikwa,diesel,Generator,Existing,740,148,5,-,2038,11.519,263.4,9,9,30%,3,196,-,-,-,-,-,,,-34.16526,21.96077 +base,PortRex,diesel,Generator,Existing,171,57,3,-,2026,11.519,284.4,3.4,3.4,30%,3,196,-,-,-,-,-,,,-33.02739,27.88382 diff --git a/docs/configtables/existing_non_eskom.csv b/docs/configtables/existing_non_eskom.csv new file mode 100644 index 0000000..3d217c8 --- /dev/null +++ b/docs/configtables/existing_non_eskom.csv @@ -0,0 +1,104 @@ +,Power Station Name,Grouping,Carrier,Type,Status,Capacity (MW),Unit size (MW),Number units,Future Commissioning Date,Decommissioning Date,Heat Rate (GJ/MWh),Fuel Price (R/GJ),Max Ramp Up (MW/min),Max Ramp Down (MW/min),Min Stable Level (%),Variable O&M Cost (R/MWh),Fixed O&M Cost (R/kW/yr),Pump Efficiency (%),Pump Units,Pump Load per unit (MW),Pumped Storage - Max Storage (GWh),CSP Storage (hours),GPS Latitude,GPS Longitude +base,Aries Solar Energy Facility,REIPPPP_BW1,solar,Generator,Existing,9.65,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-29.35015,21.15396 +base,Cookhouse Wind Farm,REIPPPP_BW1,onwind,Generator,Existing,135.8,-,-,-,2034,-,-,-,-,0%,1513,0,-,-,-,-,-,-32.74606365,25.80701715 +base,Dassieklip Wind Energy Facility,REIPPPP_BW1,onwind,Generator,Existing,27,-,-,-,2034,-,-,-,-,0%,1513,0,-,-,-,-,-,-34.23237,19.42878 +base,De Aar Solar Power,REIPPPP_BW1,solar,Generator,Existing,45.6,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-30.65995,24.01981 +base,Dorper Wind Farm,REIPPPP_BW1,onwind,Generator,Existing,97.53,-,-,-,2034,-,-,-,-,0%,1513,0,-,-,-,-,-,-31.39628175,26.35379497 +base,Greefspan PV Power Plant,REIPPPP_BW1,solar,Generator,Existing,9.9,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-29.11513585,23.7490966 +base,Herbert PV Power Plant,REIPPPP_BW1,solar,Generator,Existing,19.9,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-29.11513585,23.7490966 +base,Jeffreys Bay Wind Farm,REIPPPP_BW1,onwind,Generator,Existing,135.11,-,-,-,2034,-,-,-,-,0%,1513,0,-,-,-,-,-,-34.05048675,24.90607333 +base,Kalkbult,REIPPPP_BW1,solar,Generator,Existing,72.4,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-30.43789782,24.47044094 +base,Kaxu Solar One,REIPPPP_BW1,CSP,Generator,Existing,100,-,-,-,2045,-,-,-,-,0%,3554,0,-,-,-,-,3,-28.5252,19.3535 +base,Khi Solar One,REIPPPP_BW1,CSP,Generator,Existing,50,,,-,2045,-,-,-,-,0%,3554,0,-,-,-,-,6,-28.3214,21.439 +base,Konkoonsies Solar Energy Facility,REIPPPP_BW1,solar,Generator,Existing,9.65,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-29.16209115,19.38626431 +base,Kouga Wind Farm,REIPPPP_BW1,onwind,Generator,Existing,77.7,-,-,-,2034,-,-,-,-,0%,1513,0,-,-,-,-,-,-34.00160661,24.74162863 +base,Lesedi Power Company,REIPPPP_BW1,solar,Generator,Existing,64,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-28.30952211,23.10406337 +base,Letsatsi Power Company,REIPPPP_BW1,solar,Generator,Existing,64,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-29.11213617,26.21566471 +base,Metrowind Van Stadens Wind Farm,REIPPPP_BW1,onwind,Generator,Existing,27,-,-,-,2034,-,-,-,-,0%,1513,0,-,-,-,-,-,-33.80478499,25.49049171 +base,Mulilo Renewable Energy Solar PV De Aar,REIPPPP_BW1,solar,Generator,Existing,10,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-30.65995,24.01981 +base,Mulilo Renewable Energy Solar PV Prieska,REIPPPP_BW1,solar,Generator,Existing,19.12,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-29.96469912,22.33943836 +base,Nobelsfontein Phase 1,REIPPPP_BW1,onwind,Generator,Existing,73.8,-,-,-,2034,-,-,-,-,0%,1513,0,-,-,-,-,-,-31.42224223,23.11492014 +base,REISA,REIPPPP_BW1,solar,Generator,Existing,75,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-27.75808649,23.01589583 +base,RustMo1 Solar Farm,REIPPPP_BW1,solar,Generator,Existing,6.93,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-25.65326661,27.24975906 +base,Droogfontein Solar Power,REIPPPP_BW1,solar,Generator,Existing,45.4,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-28.72506215,24.751701 +base,Slimsun Swartland Solar Park,REIPPPP_BW1,solar,Generator,Existing,5,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-33.4578,18.72332 +base,Solar Capital De Aar,REIPPPP_BW1,solar,Generator,Existing,75,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-30.65995,24.01981 +base,Soutpan Solar Park,REIPPPP_BW1,solar,Generator,Existing,27.94,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-23.36940101,29.32179917 +base,Touwsrivier Project,REIPPPP_BW1,solar,Generator,Existing,36,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-33.33942927,20.02925811 +base,Umoya Energy Wind Farm,REIPPPP_BW1,onwind,Generator,Existing,65.4,-,-,-,2034,-,-,-,-,0%,1513,0,-,-,-,-,-,-33.02855397,18.30753655 +base,Witkop Solar Park,REIPPPP_BW1,solar,Generator,Existing,29.68,-,-,-,2039,-,-,-,-,0%,3649,0,-,-,-,-,-,-23.90234452,29.45076171 +base,Amakhala Emoyeni,REIPPPP_BW2,onwind,Generator,Existing,131.05,-,-,-,2037,-,-,-,-,0%,1186,0,-,-,-,-,-,-32.68783624,26.10644083 +base,Aurora Wind Power,REIPPPP_BW2,onwind,Generator,Existing,90.82,-,-,-,2037,-,-,-,-,0%,1186,0,-,-,-,-,-,-32.90788192,17.99584671 +base,Aurora_Rietvlei Solar Power,REIPPPP_BW2,solar,Generator,Existing,8.9,-,-,-,2042,-,-,-,-,0%,2176,0,-,-,-,-,-,-32.70958327,18.48538198 +base,Bokpoort CSP project,REIPPPP_BW2,CSP,Generator,Existing,50,-,-,-,2048,-,-,-,-,0%,3324,0,-,-,-,-,9,-28.87785503,21.91997588 +base,Boshoff Solar Park,REIPPPP_BW2,solar,Generator,Existing,57,-,-,-,2042,-,-,-,-,0%,2176,0,-,-,-,-,-,-28.53924889,25.21310591 +base,Chaba Wind Farm,REIPPPP_BW2,onwind,Generator,Existing,21,-,-,-,2036,-,-,-,-,0%,1186,0,-,-,-,-,-,-32.58791094,27.8791875 +base,Dreunberg,REIPPPP_BW2,solar,Generator,Existing,69.6,-,-,-,2042,-,-,-,-,0%,2176,0,-,-,-,-,-,-30.99735285,26.3301982 +base,Gouda Wind Project,REIPPPP_BW2,onwind,Generator,Existing,135.5,-,-,-,2037,-,-,-,-,0%,1186,0,-,-,-,-,-,-33.29437161,19.04399843 +base,Grassridge Wind Farm,REIPPPP_BW2,onwind,Generator,Existing,59.8,-,-,-,2037,-,-,-,-,0%,1186,0,-,-,-,-,-,-33.79566844,25.67222108 +base,Jasper Power Company,REIPPPP_BW2,solar,Generator,Existing,75,-,-,-,2042,-,-,-,-,0%,2176,0,-,-,-,-,-,-28.30952211,23.10406337 +base,Linde,REIPPPP_BW2,solar,Generator,Existing,36.8,-,-,-,2042,-,-,-,-,0%,2176,0,-,-,-,-,-,-31.04520663,24.44183386 +base,Neusberg Hydro Electrical Project,REIPPPP_BW2,hydro,Generator,Existing,10,-,-,-,beyond 2050,-,-,-,-,0%,1363,0,-,-,-,-,-,-28.75269659,20.5335003 +base,Sishen Solar Facility,REIPPPP_BW2,solar,Generator,Existing,74,-,-,-,2042,-,-,-,-,0%,2176,0,-,-,-,-,-,-27.75808649,23.01589583 +base,Solar Capital De Aar 3,REIPPPP_BW2,solar,Generator,Existing,75,-,-,-,2042,-,-,-,-,0%,2176,0,-,-,-,-,-,-30.65995,24.01981 +base,Stortemelk Hydro,REIPPPP_BW2,hydro,Generator,Existing,4.22,-,-,-,beyond 2050,-,-,-,-,0%,1363,0,-,-,-,-,-,-28.51415415,28.41014382 +base,Tsitsikamma Community Wind Farm,REIPPPP_BW2,onwind,Generator,Existing,93.68,-,-,-,2037,-,-,-,-,0%,1186,0,-,-,-,-,-,-34.01510678,24.34462169 +base,Upington Airport,REIPPPP_BW2,solar,Generator,Existing,8.9,-,-,-,2042,-,-,-,-,0%,2176,0,-,-,-,-,-,-28.41492673,21.2219053 +base,Vredendal Solar Park,REIPPPP_BW2,solar,Generator,Existing,8.8,-,-,-,2042,-,-,-,-,0%,2176,0,-,-,-,-,-,-31.65563733,18.5161484 +base,Waainek Wind Farm,REIPPPP_BW2,onwind,Generator,Existing,23.28,-,-,-,2037,-,-,-,-,0%,1186,0,-,-,-,-,-,-33.30901038,26.53167687 +base,!XiNa Solar One,REIPPPP_BW3,CSP,Generator,Existing,100,-,-,-,2049,-,-,-,-,0%,3114,0,-,-,-,-,6,-29.16209115,19.38626431 +base,Adams Solar PV 2,REIPPPP_BW3,solar,Generator,Existing,75,-,-,-,2043,-,-,-,-,0%,2176,0,-,-,-,-,-,-27.20248968,22.84678257 +base,ENERGY Joburg Landfill Gas to Electircity Project,REIPPPP_BW3,biomass,Generator,Existing,7.56,-,-,-,2049,-,0,-,-,0%,1109,0,-,-,-,-,-,-26.19495424,28.0325284 +base,Karoshoek Solar One,REIPPPP_BW3,CSP,Generator,Existing,100,-,-,-,2049,-,-,-,-,0%,3114,0,-,-,-,-,6,-28.41492673,21.2219053 +base,Khobab Wind Farm,REIPPPP_BW3,onwind,Generator,Existing,137.74,-,-,-,2038,-,-,-,-,0%,868,0,-,-,-,-,-,-30.91810861,19.44104346 +base,Loeriesfontein 2 Wind Farm,REIPPPP_BW3,onwind,Generator,Existing,138.23,-,-,-,2038,-,-,-,-,0%,868,0,-,-,-,-,-,-30.91810861,19.44104346 +base,Longyuan Mulilo De Aar Maanhaarberg Wind Energy Facility,REIPPPP_BW3,onwind,Generator,Existing,96.48,-,-,-,2038,-,-,-,-,0%,868,0,-,-,-,-,-,-30.65995,24.01981 +base,Longyuan Mulilo Green Energy De Aar 2 North Wind Energy Facility,REIPPPP_BW3,onwind,Generator,Existing,138.96,-,-,-,2038,-,-,-,-,0%,868,0,-,-,-,-,-,-30.65995,24.01981 +base,Mkuze,REIPPPP_BW3,biomass,Generator,Planned,16.5,-,32,-,beyond 2050,-,1650,-,-,0%,1500,0,-,6,4,,,-27.61803715,32.03451293 +base,Mulilo Prieska PV,REIPPPP_BW3,solar,Generator,Existing,75,-,-,-,2043,-,-,-,-,0%,1165,0,-,-,-,-,-,-29.96469912,22.33943836 +base,Mulilo Sonnedix Prieska PV,REIPPPP_BW3,solar,Generator,Existing,75,-,-,-,2043,-,-,-,-,0%,1165,0,-,-,-,-,-,-29.96469912,22.33943836 +base,Nojoli Wind Farm,REIPPPP_BW3,onwind,Generator,Existing,86.6,-,-,-,2038,-,-,-,-,0%,868,0,-,-,-,-,-,-32.74606365,25.80701715 +base,Noupoort Wind Farm,REIPPPP_BW3,onwind,Generator,Existing,79.05,-,-,-,2038,-,-,-,-,0%,868,0,-,-,-,-,-,-31.18385097,24.94597311 +base,Paleisheuwel,REIPPPP_BW3,solar,Generator,Existing,75,-,-,-,2043,-,-,-,-,0%,1165,0,-,-,-,-,-,-32.19669208,18.89502901 +base,Pulida Solar Park,REIPPPP_BW3,solar,Generator,Existing,75,-,-,-,2043,-,-,-,-,0%,1165,0,-,-,-,-,-,-29.13329593,24.79880592 +base,Red Cap Gibson Bay,REIPPPP_BW3,onwind,Generator,Existing,108.25,-,-,-,2038,-,-,-,-,0%,868,0,-,-,-,-,-,-34.00160661,24.74162863 +base,Tom Burke Solar Park,REIPPPP_BW3,solar,Generator,Existing,60,-,-,-,2043,-,-,-,-,0%,1165,0,-,-,-,-,-,-23.67193834,27.63573491 +base,Kathu Solar Park,REIPPPP_BW3.5,CSP,Generator,Existing,100,-,-,-,beyond 2050,-,-,-,-,0%,2902,0,-,-,-,-,6,-27.75808649,23.01589583 +base,Redstone Solar Thermal Power Plant,REIPPPP_BW3.5,CSP,Generator,Under construction,100,-,-,2024,beyond 2050,-,-,-,-,0%,2902,0,-,-,-,-,9,-28.30952211,23.10406337 +base,Aggeneys Solar,REIPPPP_BW4,solar,Generator,Existing,40,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-29.22015953,18.9152031 +base,Boikanyo Solar,REIPPPP_BW4,solar,Generator,Existing,55,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-29.11513585,23.7490966 +base,Bokamoso,REIPPPP_BW4,solar,Generator,Existing,67.9,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-26.85400239,26.64211071 +base,Copperton Windfarm,REIPPPP_BW4,onwind,Generator,Existing,102,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-29.96469912,22.33943836 +base,De Wildt,REIPPPP_BW4,solar,Generator,Existing,50,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-25.60966873,27.80765416 +base,Dyason's Klip 1,REIPPPP_BW4,solar,Generator,Existing,75,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-28.41492673,21.2219053 +base,Dyason's Klip 2,REIPPPP_BW4,solar,Generator,Existing,75,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-28.41492673,21.2219053 +base,Excelsior Wind Energy Facility,REIPPPP_BW4,onwind,Generator,Existing,31.9,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-34.02467796,20.4318549 +base,Garob Wind Farm,REIPPPP_BW4,onwind,Generator,Existing,135.93,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-29.96469912,22.33943836 +base,Golden Valley Wind,REIPPPP_BW4,onwind,Generator,Existing,117.72,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-32.74606365,25.80701715 +base,Kangnas Wind Farm,REIPPPP_BW4,onwind,Generator,Existing,136.7,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-29.66569573,17.88776436 +base,Konkoonsies II Solar PV Facility,REIPPPP_BW4,solar,Generator,Existing,75,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-29.16209115,19.38626431 +base,Kruisvallei Hydro,REIPPPP_BW4,hydro,Generator,Existing,3.8,-,-,-,beyond 2050,-,-,-,-,0%,1240,0,-,-,-,-,-,-28.24250307,28.30768328 +base,Matla A Bokone Solar,REIPPPP_BW4,solar,Generator,Existing,75,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-28.72506215,24.751701 +base,Ngodwana Energy,REIPPPP_BW4,biomass,Generator,Existing,25,-,32,-,beyond 2050,-,1650,-,-,0%,1500,0,-,6,4,,,-25.48089837,30.97430484 +base,Nxuba Wind Farm,REIPPPP_BW4,onwind,Generator,Existing,138.9,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-32.74606365,25.80701715 +base,Oyster Bay Wind Farm,REIPPPP_BW4,onwind,Generator,Existing,140,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-34.00160661,24.74162863 +base,Perdekraal East Wind Farm,REIPPPP_BW4,onwind,Generator,Existing,107.76,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-33.33942927,20.02925811 +base,Roggeveld Wind Farm,REIPPPP_BW4,onwind,Generator,Existing,140,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-32.40945174,20.66983649 +base,Sirius Solar PV Project One,REIPPPP_BW4,solar,Generator,Existing,75,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-28.41492673,21.2219053 +base,Soetwater Wind Farm,REIPPPP_BW4,onwind,Generator,Under construction,139.4,-,-,2024,2042,-,-,-,-,0%,687,0,-,-,-,-,-,-32.40945174,20.66983649 +base,Solar Capital Orange,REIPPPP_BW4,solar,Generator,Under construction,75,-,-,2023,2047,-,-,-,-,0%,872,0,-,-,-,-,-,-30.91810861,19.44104346 +base,The Karusa Wind Farm,REIPPPP_BW4,onwind,Generator,Existing,139.8,-,-,-,2046,-,-,-,-,0%,687,0,-,-,-,-,-,-32.40945174,20.66983649 +base,Waterloo Solar Park,REIPPPP_BW4,solar,Generator,Existing,75,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-26.93816488,24.70485455 +base,Wesley Ciskei,REIPPPP_BW4,onwind,Generator,Existing,32.7,-,-,-,2041,-,-,-,-,0%,687,0,-,-,-,-,-,-33.28239705,27.4298131 +base,Zeerust,REIPPPP_BW4,solar,Generator,Existing,75,-,-,-,2046,-,-,-,-,0%,872,0,-,-,-,-,-,-25.23658001,26.08241936 +base,Kelvin,other,coal,Generator,Existing,160,-,-,-,2027,12.372,15.6,0.5,0.5,30%,80,0,-,-,-,-,-,-26.658,28.1138 +base,Sasol SSF,other,coal,Generator,Existing,600,-,-,-,beyond 2050,12.372,15.6,0.5,0.5,0%,900,0,-,-,-,-,-,-26.5036,29.1803 +base,Avon,other,diesel,Generator,Existing,670,167.5,4,-,2046,11.519,263.4,11,11,0%,3,169,-,-,-,-,-,-29.251,31.0941 +base,Dedisa,other,diesel,Generator,Existing,335,167.5,2,-,2046,11.519,263.4,11,11,0%,3,169,-,-,-,-,-,-33.4433,25.4022 +base,Sasol Infrach Engines,other,gas,Generator,Existing,175,9.7,18,-,beyond 2050,7.6,75,8,8,30%,950,0,-,-,-,-,-,-26.8102,27.8277 +base,Sasol OCGT,other,gas,Generator,Existing,250,50,5,-,beyond 2050,11.519,75,2,2,0%,950,0,-,-,-,-,-,-26.8102,27.8277 +base,CahoraBassa,other,hydro-import,Generator,Existing,1764,250,6,-,beyond 2050,-,-,-,-,0%,300,0,-,-,-,-,-,, +base,ColleyWobbles,other,hydro,Generator,Existing,65,65,1,-,beyond 2050,-,-,-,-,0%,300,0,-,-,-,-,-,-32.05,28.58333 +base,Mondi,other,biomass,Generator,Existing,120,30,4,-,beyond 2050,-,-,0.5,0.5,30%,500,0,-,-,-,-,-,, +base,Sappi,other,biomass,Generator,Existing,144,36,4,-,beyond 2050,-,-,0.5,0.5,30%,500,0,-,-,-,-,-,-25.3447,30.394 +base,Steenbras,other,PHS,StorageUnit,Existing,180,45,4,-,beyond 2050,-,-,-,-,0%,300,222,72%,4,45,2.7,-,-34.153,18.9 diff --git a/docs/configtables/hydro.csv b/docs/configtables/hydro.csv new file mode 100644 index 0000000..c4de3ca --- /dev/null +++ b/docs/configtables/hydro.csv @@ -0,0 +1,6 @@ +,Unit,Values,Description +cutout,--,"Must be 'RSA-2013-era5'","Specifies the directory where the relevant weather data ist stored." +carriers,--,"Any subset of {'ror', 'PHS', 'hydro'}","Specifies the types of hydro power plants to build per-unit availability time series for. 'ror' stands for run-of-river plants, 'PHS' represents pumped-hydro storage, and 'hydro' stands for hydroelectric dams." +PHS_max_hours,h,float,"Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity ``p_nom``. Cf. `PyPSA documentation `_." +hydro_max_hours,h,"Any of {float, 'energy_capacity_totals_by_country', 'estimate_by_large_installations'}","Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity ``p_nom`` or heuristically determined. Cf. `PyPSA documentation `_." +clip_min_inflow,MW,float,"To avoid too small values in the inflow time series, values below this threshold are set to zero." diff --git a/docs/configtables/licenses.csv b/docs/configtables/licenses.csv new file mode 100644 index 0000000..fc1633f --- /dev/null +++ b/docs/configtables/licenses.csv @@ -0,0 +1,16 @@ +"Files","BY","NC","SA","Mark Changes",Detail +"supply_regions/11-supply.shp","x","x","x","x",https://www.eskom.co.za/eskom-divisions/tx/gcca/ +"supply_regions/RSA.shp","x","x","x","x",https://www.eskom.co.za/eskom-divisions/tx/gcca/ +"SAPAD_OR_2017_Q2/*","x","x","x",,https://egis.environment.gov.za/protected_and_conservation_areas_database +"SACAD_OR_2017_Q2/*","x","x",x,,https://egis.environment.gov.za/protected_and_conservation_areas_database +"REDZ_DEA_Unpublished_Draft_2015/*","x","x","x",,https://egis.environment.gov.za/redz +"Phase2_REDZs/*","x","x","x",,https://egis.environment.gov.za/redz +"Power_corridors","x","x","x",,https://egis.environment.gov.za/egi +"SystemEnergy2009_13.csv","x",,,,Eskom System Energy 2009-13 Hourly available from Eskom on request +"ZAF_wind-speed_100m.tif","x",,,,https://globalwindatlas.info/en/area/South%20Africa +"Supply_area_normalised power feed-in for PV.xlsx ","x",,,,https://www.csir.co.za/csir-energy-centre-documents +"Supply_area_normalised power feed-in for Wind.xlsx","x",,,,https://www.csir.co.za/csir-energy-centre-documents +"Existing Power Stations SA.xlsx","x","x",,,https://www.energy.gov.za/IRP/2016/Draft-IRP-2016-Assumptions-Base-Case-and-Observations-Revision1.pdf +"SALandCover_OriginalUTM35North_2013_GTI_72Classes","x","x",,,https://egis.environment.gov.za/sa_national_land_cover_datasets +"data/EIA_hydro_generation_2011_2014.csv","x","x",,, U.S. EIA Hydroelectricity Net Generation ZA and MZ 2011-2014 (2017). +"data/bundle/South_Africa_100m_Population/ZAF15adjv4.tif","x","x",,, https://hub.worldpop.org/doi/10.5258/SOTON/WP00246 \ No newline at end of file diff --git a/docs/configtables/lines.csv b/docs/configtables/lines.csv new file mode 100644 index 0000000..277373e --- /dev/null +++ b/docs/configtables/lines.csv @@ -0,0 +1,6 @@ +,Unit,Values,Description +types,--,"Values should specify a `line type in PyPSA `_. Keys should specify the corresponding voltage level (e.g. 220., 300. and 380. kV)","Specifies line types to assume for the different voltage levels of the ENTSO-E grid extraction. Should normally handle voltage levels 220, 300, and 380 kV" +s_max_pu,--,"Value in [0.,1.]","Correction factor for line capacities (``s_nom``) to approximate :math:`N-1` security and reserve capacity for reactive power flows" +s_nom_max,MW,"float","Global upper limit for the maximum capacity of each extendable line." +length_factor,--,float,"Correction factor to account for the fact that buses are *not* connected by lines through air-line distance." +under_construction,--,"One of {'zero': set capacity to zero, 'remove': remove completely, 'keep': keep with full capacity}","Specifies how to handle lines which are currently under construction." \ No newline at end of file diff --git a/docs/configtables/links.csv b/docs/configtables/links.csv new file mode 100644 index 0000000..a78c6d6 --- /dev/null +++ b/docs/configtables/links.csv @@ -0,0 +1,5 @@ +,Unit,Values,Description +p_max_pu,--,"Value in [0.,1.]","Correction factor for link capacities ``p_nom``." +p_nom_max,MW,"float","Global upper limit for the maximum capacity of each extendable DC link." +include_tyndp,bool,"{'true', 'false'}","Specifies whether to add HVDC link projects from the `TYNDP 2018 `_ which are at least in permitting." +under_construction,--,"One of {'zero': set capacity to zero, 'remove': remove completely, 'keep': keep with full capacity}","Specifies how to handle lines which are currently under construction." \ No newline at end of file diff --git a/docs/configtables/model_file_costs.csv b/docs/configtables/model_file_costs.csv new file mode 100644 index 0000000..c13eb85 --- /dev/null +++ b/docs/configtables/model_file_costs.csv @@ -0,0 +1,106 @@ +scenario,technology,parameter,2019,2020,2025,2030,2035,2040,2045,2050,unit +csir_ambitions_2019,coal,CO2 intensity,0.354,0.354,0.354,0.354,0.354,0.354,0.354,0.354,tCO2/MWth +csir_ambitions_2019,CSP,CO2 intensity,0,0,0,0,0,0,0,0,tCO2/MWth +csir_ambitions_2019,diesel,CO2 intensity,0.248,0.248,0.248,0.248,0.248,0.248,0.248,0.248,tCO2/MWth +csir_ambitions_2019,gas,CO2 intensity,0.187,0.187,0.187,0.187,0.187,0.187,0.187,0.187,tCO2/MWth +csir_ambitions_2019,solar,discount rate,8.2%,8.2%,8.2%,8.2%,8.2%,8.2%,8.2%,8.2%,per unit +csir_ambitions_2019,solar-rooftop,discount rate,8.2%,8.2%,8.2%,8.2%,8.2%,8.2%,8.2%,8.2%,per unit +csir_ambitions_2019,solar-utility,discount rate,8.2%,8.2%,8.2%,8.2%,8.2%,8.2%,8.2%,8.2%,per unit +csir_ambitions_2019,biomass,heat_rate,12.386,12.386,12.386,12.386,12.386,12.386,12.386,12.386,GJ/MWh +csir_ambitions_2019,CCGT,heat_rate,7.395,7.395,7.395,7.395,7.395,7.395,7.395,7.395,GJ/MWh +csir_ambitions_2019,coal,heat_rate,9.812,9.812,9.812,9.812,9.812,9.812,9.812,9.812,GJ/MWh +csir_ambitions_2019,CSP,heat_rate,,,,,,,,,GJ/MWh +csir_ambitions_2019,diesel,heat_rate,11.519,11.519,11.519,11.519,11.519,11.519,11.519,11.519,GJ/MWh +csir_ambitions_2019,geothermal,heat_rate,,,,,,,,,GJ/MWh +csir_ambitions_2019,nuclear,heat_rate,10.657,10.657,10.657,10.657,10.657,10.657,10.657,10.657,GJ/MWh +csir_ambitions_2019,OCGT,heat_rate,11.519,11.519,11.519,11.519,11.519,11.519,11.519,11.519,GJ/MWh +csir_ambitions_2019,battery inverter,efficiency,89%,89%,89%,89%,89%,89%,89%,89%,per unit +csir_ambitions_2019,biomass,efficiency,29%,29%,29%,29%,29%,29%,29%,29%,per unit +csir_ambitions_2019,CCGT,efficiency,49%,49%,49%,49%,49%,49%,49%,49%,per unit +csir_ambitions_2019,coal,efficiency,37%,37%,37%,37%,37%,37%,37%,37%,per unit +csir_ambitions_2019,CSP,efficiency,,,,,,,,,per unit +csir_ambitions_2019,diesel,efficiency,31%,31%,31%,31%,31%,31%,31%,31%,per unit +csir_ambitions_2019,geothermal,efficiency,,,,,,,,,per unit +csir_ambitions_2019,nuclear,efficiency,34%,34%,34%,34%,34%,34%,34%,34%,per unit +csir_ambitions_2019,OCGT,efficiency,31%,31%,31%,31%,31%,31%,31%,31%,per unit +csir_ambitions_2019,hydro,efficiency,90%,90%,90%,90%,90%,90%,90%,90%,per unit +csir_ambitions_2019,onwind,efficiency,,,,,,,,,per unit +csir_ambitions_2019,PHS,efficiency,75%,75%,75%,75%,75%,75%,75%,75%,per unit +csir_ambitions_2019,ror,efficiency,90%,90%,90%,90%,90%,90%,90%,90%,per unit +csir_ambitions_2019,solar,efficiency,,,,,,,,,per unit +csir_ambitions_2019,solar-rooftop,efficiency,,,,,,,,,per unit +csir_ambitions_2019,solar-utility,efficiency,,,,,,,,,per unit +csir_ambitions_2019,battery inverter,FOM,697,697,697,697,697,697,697,697,ZAR/kWel +csir_ambitions_2019,biomass,FOM,2028,2028,2028,2028,2028,2028,2028,2028,ZAR/kWel +csir_ambitions_2019,CCGT,FOM,203,203,203,203,203,203,203,203,ZAR/kWel +csir_ambitions_2019,coal,FOM,1133,1133,1133,1133,1133,1133,1133,1133,ZAR/kWel +csir_ambitions_2019,CSP,FOM,1203,1203,1203,1203,1203,1203,1203,1203,%/year +csir_ambitions_2019,diesel,FOM,2.6,2.6,2.6,2.6,2.6,2.6,2.6,2.6,%/year +csir_ambitions_2019,HVAC overhead,FOM,2,2,2,2,2,2,2,2,%/year +csir_ambitions_2019,HVDC inverter pair,FOM,2,2,2,2,2,2,2,2,%/year +csir_ambitions_2019,HVDC overhead,FOM,2,2,2,2,2,2,2,2,%/year +csir_ambitions_2019,HVDC submarine,FOM,2,2,2,2,2,2,2,2,%/year +csir_ambitions_2019,hydro,FOM,484,484,484,484,484,484,484,484,ZAR/kWel +csir_ambitions_2019,nuclear,FOM,1187,1187,1187,1187,1187,1187,1187,1187,ZAR/kWel +csir_ambitions_2019,OCGT,FOM,196,196,196,196,196,196,196,196,ZAR/kWel +csir_ambitions_2019,onwind,FOM,742,742,742,742,742,742,742,742,ZAR/kWel +csir_ambitions_2019,PHS,FOM,222,222,222,222,222,222,222,222,ZAR/kWel +csir_ambitions_2019,ror,FOM,484,484,484,484,484,484,484,484,ZAR/kWel +csir_ambitions_2019,solar,FOM,328,328,328,328,328,328,328,328,ZAR/kWel +csir_ambitions_2019,solar-rooftop,FOM,328,328,328,328,328,328,328,328,ZAR/kWel +csir_ambitions_2019,solar-utility,FOM,328,328,328,328,328,328,328,328,ZAR/kWel +csir_ambitions_2019,biomass,fuel,36,36,36,36,36,36,36,36,R/GJ +csir_ambitions_2019,coal,fuel,33.8,33.8,33.8,33.8,33.8,33.8,33.8,33.8,R/GJ +csir_ambitions_2019,CSP,fuel,0,0,0,0,0,0,0,0,R/GJ +csir_ambitions_2019,diesel,fuel,277.8,277.8,277.8,277.8,277.8,277.8,277.8,277.8,R/GJ +csir_ambitions_2019,gas,fuel,150,150,150,150,150,150,150,150,R/GJ +csir_ambitions_2019,nuclear,fuel,9.1,9.1,9.1,9.1,9.1,9.1,9.1,9.1,R/GJ +csir_ambitions_2019,uranium,fuel,,,,,,,,,R/GJ +csir_ambitions_2019,battery inverter,investment,12286.03,11397.08,8587.84,7192.40,6742.88,6293.35,5843.83,5394.30,ZAR/kWel +csir_ambitions_2019,battery storage,investment,0,0,0,0,0,0,0,0,ZAR/kWh +csir_ambitions_2019,biomass,investment,52708,52708,52708,52708,52708,52708,52708,52708,ZAR/kWel +csir_ambitions_2019,CCGT,investment,12199,12199,12199,12199,12199,12199,12199,12199,ZAR/kWel +csir_ambitions_2019,coal,investment,48188,48188,48188,48188,48188,48188,48188,48188,ZAR/kWel +csir_ambitions_2019,CSP,investment,126013,120572,98228,83708,74928,70234,67922,66343,ZAR/kWel +csir_ambitions_2019,diesel,investment,400,400,400,400,400,400,400,400,ZAR/kWel +csir_ambitions_2019,HVAC overhead,investment,6000,6000,6000,6000,6000,6000,6000,6000,ZAR/MW/km +csir_ambitions_2019,HVDC inverter pair,investment,,,,,,,,,ZAR/MW +csir_ambitions_2019,HVDC overhead,investment,6000,6000,6000,6000,6000,6000,6000,6000,ZAR/MW/km +csir_ambitions_2019,HVDC submarine,investment,,,,,,,,,ZAR/MW/km +csir_ambitions_2019,hydro,investment,74340,74340,74340,74340,74340,74340,74340,74340,ZAR/kWel +csir_ambitions_2019,nuclear,investment,94145,93964,93057,92150,91968,91968,91968,91968,ZAR/kWel +csir_ambitions_2019,OCGT,investment,10754,10754,10754,10754,10754,10754,10754,10754,ZAR/kWel +csir_ambitions_2019,onwind,investment,14691,14431,13131,11831,11190,10544,9893,9238,ZAR/kWel +csir_ambitions_2019,PHS,investment,30777,30777,30777,30777,30777,30777,30777,30777,ZAR/kWel +csir_ambitions_2019,ror,investment,74340,74340,74340,74340,74340,74340,74340,74340,ZAR/kWel +csir_ambitions_2019,solar,investment,8746,8206,6671,5136,4402,3844,3506,3238,ZAR/kWel +csir_ambitions_2019,solar-rooftop,investment,8746,8206,6671,5136,4402,3844,3506,3238,ZAR/kWel +csir_ambitions_2019,solar-utility,investment,8746,8206,6671,5136,4402,3844,3506,3238,ZAR/kWel +csir_ambitions_2019,battery inverter,lifetime,20,20,20,20,20,20,20,20,years +csir_ambitions_2019,battery storage,lifetime,20,20,20,20,20,20,20,20,years +csir_ambitions_2019,biomass,lifetime,30,30,30,30,30,30,30,30,years +csir_ambitions_2019,CCGT,lifetime,30,30,30,30,30,30,30,30,years +csir_ambitions_2019,coal,lifetime,50,50,50,50,50,50,50,50,years +csir_ambitions_2019,CSP,lifetime,30,30,30,30,30,30,30,30,years +csir_ambitions_2019,diesel,lifetime,30,30,30,30,30,30,30,30,years +csir_ambitions_2019,HVAC overhead,lifetime,40,40,40,40,40,40,40,40,years +csir_ambitions_2019,HVDC inverter pair,lifetime,40,40,40,40,40,40,40,40,years +csir_ambitions_2019,HVDC overhead,lifetime,40,40,40,40,40,40,40,40,years +csir_ambitions_2019,HVDC submarine,lifetime,40,40,40,40,40,40,40,40,years +csir_ambitions_2019,hydro,lifetime,60,60,60,60,60,60,60,60,years +csir_ambitions_2019,nuclear,lifetime,60,60,60,60,60,60,60,60,years +csir_ambitions_2019,OCGT,lifetime,30,30,30,30,30,30,30,30,years +csir_ambitions_2019,onwind,lifetime,20,20,20,20,20,20,20,20,years +csir_ambitions_2019,PHS,lifetime,50,50,50,50,50,50,50,50,years +csir_ambitions_2019,ror,lifetime,60,60,60,60,60,60,60,60,years +csir_ambitions_2019,solar,lifetime,25,25,25,25,25,25,25,25,years +csir_ambitions_2019,solar-rooftop,lifetime,25,25,25,25,25,25,25,25,years +csir_ambitions_2019,solar-utility,lifetime,25,25,25,25,25,25,25,25,years +csir_ambitions_2019,CCGT,VOM,27,27,27,27,27,27,27,27,ZAR/MWhel +csir_ambitions_2019,coal,VOM,98,98,98,98,98,98,98,98,ZAR/MWhel +csir_ambitions_2019,CSP,VOM,1,1,1,1,1,1,1,1,ZAR/MWhel +csir_ambitions_2019,diesel,VOM,3,3,3,3,3,3,3,3,EUR/MWhel +csir_ambitions_2019,nuclear,VOM,45,45,45,45,45,45,45,45,ZAR/MWhel +csir_ambitions_2019,OCGT,VOM,3,3,3,3,3,3,3,3,ZAR/MWhel +csir_ambitions_2019,onwind,VOM,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,ZAR/MWhel +csir_ambitions_2019,solar,VOM,0,0,0,0,0,0,0,0,ZAR/MWhel diff --git a/docs/configtables/model_file_setup.csv b/docs/configtables/model_file_setup.csv new file mode 100644 index 0000000..6f87401 --- /dev/null +++ b/docs/configtables/model_file_setup.csv @@ -0,0 +1,11 @@ +wildcard,simulation_years,existing_eskom,existing_non_eskom,new_build_limits,projected_parameters,costs +val-LC-UNC,"""2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050""",base,base,base,ambitions,ambitions_2019 +val-LC-UNC-1,"""2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050""",LC-Retirement,base,base,ambitions,ambitions_2019 +val-LC-UNC-2,"""2020,2025,2030,2035,2040,2045,2050""",base,base,base,ambitions,ambitions_2019 +val-2Gt-UNC,"""2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050""",2Gt,2Gt,base,ambitions,ambitions_2019 +val-2Gt-UNC-1,"""2020,2025,2030,2035,2040,2045,2050""",2Gt,2Gt,base,ambitions,ambitions_2019 +val-LC-SMOOTH,"""2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050""",base,base,ambitions_LC_SMOOTH,ambitions,ambitions_2019 +val-LC-SMOOTH-1,"""2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050""",LC-Retirement,base,ambitions_LC_SMOOTH,ambitions,ambitions_2019 +val-LC-SMOOTH-2,"""2020,2025,2030,2035,2040,2045,2050""",LC-Retirement,base,ambitions_LC_SMOOTH,ambitions,ambitions_2019 +val-2Gt-SMOOTH,"""2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050""",2Gt,2Gt,ambitions_2Gt_SMOOTH,ambitions,ambitions_2019 +val-2Gt-SMOOTH-1,"""2020,2025,2030,2035,2040,2045,2050""",2Gt,2Gt,ambitions_2Gt_SMOOTH,ambitions,ambitions_2019 diff --git a/docs/configtables/model_setup.csv b/docs/configtables/model_setup.csv new file mode 100644 index 0000000..19fe8d8 --- /dev/null +++ b/docs/configtables/model_setup.csv @@ -0,0 +1,9 @@ +Trigger, Description, Definition, Status +``za-original``, cost assumption in PyPSA-ZA: Investment and operation co-optimization of integrating wind and solar in South Africa at high spatial and temporal detail, , In active use +``za-updated``,cost assumption in PyPSA-ZA: Investment and operation co-optimization of integrating wind and solar in South Africa at high spatial and temporal detail , , In active use +``IRP-2019``,https://www.energy.gov.za/irp/2019/IRP-2019.pdf , , In active use +``validation-1``,https://researchspace.csir.co.za/dspace/handle/10204/11483 , , In active use +``validation-2``,https://researchspace.csir.co.za/dspace/handle/10204/11483 , , In active use +``validation-3``,https://researchspace.csir.co.za/dspace/handle/10204/11483 , , In active use +``validation-4``,https://researchspace.csir.co.za/dspace/handle/10204/11483 , , In active use +``validation-5``,https://researchspace.csir.co.za/dspace/handle/10204/11483 , , In active use diff --git a/docs/configtables/new_build_limits.csv b/docs/configtables/new_build_limits.csv new file mode 100644 index 0000000..b0b1e84 --- /dev/null +++ b/docs/configtables/new_build_limits.csv @@ -0,0 +1,20 @@ +scenario,parameter,carrier (MW),2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029,2030,2031,2032,2033,2034,2035,2036,2037,2038,2039,2040,2041,2042,2043,2044,2045,2046,2047,2048,2049,2050 +base,max_installed_limit,solar,0,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +base,max_installed_limit,onwind,0,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +base,max_installed_limit,CCGT,0,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +base,max_installed_limit,OCGT,0,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +base,max_installed_limit,biomass,0,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +base,max_installed_limit,coal,0,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +base,max_installed_limit,nuclear,0,0,0,0,0,0,0,0,,,,,,,,,,,,,,,,,,,,,,,, +base,max_installed_limit,hydro-import,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +base,max_installed_limit,PHS,0,0,0,0,0,0,0,0,0,0,0,0,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000,5000 +base,max_installed_limit,battery,0,0,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +base,min_installed_limit,solar,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +base,min_installed_limit,onwind,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +base,min_installed_limit,CCGT,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +base,min_installed_limit,OCGT,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +base,min_installed_limit,coal,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +base,min_installed_limit,nuclear,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +base,min_installed_limit,hydro-import,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +base,min_installed_limit,PHS,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +base,min_installed_limit,battery,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 diff --git a/docs/configtables/onwind.csv b/docs/configtables/onwind.csv new file mode 100644 index 0000000..212e24e --- /dev/null +++ b/docs/configtables/onwind.csv @@ -0,0 +1,13 @@ +,Unit,Values,Description +cutout,--,"Should be a folder listed in the configuration ``atlite: cutouts:`` (e.g. 'RSA-2013-era5') or reference an existing folder in the directory ``cutouts``. Source module must be ERA5.","Specifies the directory where the relevant weather data ist stored." +resource,,, +-- method,--,"Must be 'wind'","A superordinate technology type." +-- turbine,--,"One of turbine types included in `atlite `__","Specifies the turbine type and its characteristic power curve." +capacity_per_sqkm,:math:`MW/km^2`,float,"Allowable density of wind turbine placement." +corine,,, +-- grid_codes,--,"Any subset of the `CORINE Land Cover code list `_","Specifies areas according to CORINE Land Cover codes which are generally eligible for wind turbine placement." +-- distance,m,float,"Distance to keep from areas specified in ``distance_grid_codes``" +-- distance_grid_codes,--,"Any subset of the `CORINE Land Cover code list `_","Specifies areas according to CORINE Land Cover codes to which wind turbines must maintain a distance specified in the setting ``distance``." +natura,bool,"{true, false}","Switch to exclude `Natura 2000 `_ natural protection areas. Area is excluded if ``true``." +potential,--,"One of {'simple', 'conservative'}","Method to compute the maximal installable potential for a node; confer :ref:`renewableprofiles`" +clip_p_max_pu,p.u.,float,"To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero." diff --git a/docs/configtables/opts.csv b/docs/configtables/opts.csv new file mode 100644 index 0000000..02e2d20 --- /dev/null +++ b/docs/configtables/opts.csv @@ -0,0 +1,12 @@ +Trigger, Description, Definition, Status +``nH``; i.e. ``2H``-``6H``, Resample the time-resolution by averaging over every ``n`` snapshots, ``prepare_network``: `average_every_nhours() `_ and its `caller `__), In active use +``nSEG``; e.g. ``4380SEG``, "Apply time series segmentation with `tsam `_ package to ``n`` adjacent snapshots of varying lengths based on capacity factors of varying renewables, hydro inflow and load.", ``prepare_network``: apply_time_segmentation(), In active use +``Co2L``, Add an overall absolute carbon-dioxide emissions limit configured in ``electricity: co2limit``. If a float is appended an overall emission limit relative to the emission level given in ``electricity: co2base`` is added (e.g. ``Co2L0.05`` limits emissisions to 5% of what is given in ``electricity: co2base``), ``prepare_network``: `add_co2limit() `_ and its `caller `__, In active use +``Ep``, Add cost for a carbon-dioxide price configured in ``costs: emission_prices: co2`` to ``marginal_cost`` of generators (other emission types listed in ``network.carriers`` possible as well), ``prepare_network``: `add_emission_prices() `_ and its `caller `__, In active use +``CCL``, Add minimum and maximum levels of generator nominal capacity per carrier for individual countries. These can be specified in the file linked at ``electricity: agg_p_nom_limits`` in the configuration. File defaults to ``data/agg_p_nom_minmax.csv``., ``solve_network``, In active use +``EQ``, "Require each country or node to on average produce a minimal share of its total consumption itself. Example: ``EQ0.5c`` demands each country to produce on average at least 50% of its consumption; ``EQ0.5`` demands each node to produce on average at least 50% of its consumption.", ``solve_network``, In active use +``ATK``, "Require each node to be autarkic. Example: ``ATK`` removes all lines and links. ``ATKc`` removes all cross-border lines and links.", ``prepare_network``, In active use +``BAU``, Add a per-``carrier`` minimal overall capacity; i.e. at least ``40GW`` of ``OCGT`` in Europe; configured in ``electricity: BAU_mincapacities``, ``solve_network``: `add_opts_constraints() `__, Untested +``SAFE``, Add a capacity reserve margin of a certain fraction above the peak demand to which renewable generators and storage do *not* contribute. Ignores network., ``solve_network`` `add_opts_constraints() `__, Untested +``carrier+{c|p|m}factor``,"Alter the capital cost (``c``), installable potential (``p``) or marginal costs (``m``) of a carrier by a factor. Example: ``solar+c0.5`` reduces the capital cost of solar to 50\% of original values.", ``prepare_network``, In active use +``CH4L``,"Add an overall absolute gas limit. If configured in ``electricity: gaslimit`` it is given in MWh thermal, if a float is appended, the overall gaslimit is assumed to be given in TWh thermal (e.g. ``CH4L200`` limits gas dispatch to 200 TWh termal)", ``prepare_network``: ``add_gaslimit()``, In active use diff --git a/docs/configtables/plotting.csv b/docs/configtables/plotting.csv new file mode 100644 index 0000000..7d83b0c --- /dev/null +++ b/docs/configtables/plotting.csv @@ -0,0 +1,14 @@ +,Unit,Values,Description +map,,, +-- figsize,--,"[width, height]; e.g. [7,7]","Figure size in inches." +-- boundaries,°,"[x1,x2,y1,y2]","Boundaries of the map plots in degrees latitude (y) and longitude (x)" +-- p_nom,,, +-- -- bus_size_factor,--,float,"Factor by which values determining bus sizes are scaled to fit well in the plot." +-- -- linewidth_factor,--,float,"Factor by which values determining bus sizes are scaled to fit well in the plot." +costs_max,bn Euro,float,"Upper y-axis limit in cost bar plots." +costs_threshold,bn Euro,float,"Threshold below which technologies will not be shown in cost bar plots." +energy_max,TWh,float,"Upper y-axis limit in energy bar plots." +energy_min,TWh,float,"Lower y-axis limit in energy bar plots." +energy_threshold,TWh,float,"Threshold below which technologies will not be shown in energy bar plots." +tech_colors,--,"carrier -> HEX colour code","Mapping from network ``carrier`` to a colour (`HEX colour code `_)." +nice_names,--,"str -> str","Mapping from network ``carrier`` to a more readable name." \ No newline at end of file diff --git a/docs/configtables/projected_parameters.csv b/docs/configtables/projected_parameters.csv new file mode 100644 index 0000000..c3399f0 --- /dev/null +++ b/docs/configtables/projected_parameters.csv @@ -0,0 +1,7 @@ +scenario,parameter,unit,2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029,2030,2031,2032,2033,2034,2035,2036,2037,2038,2039,2040,2041,2042,2043,2044,2045,2046,2047,2048,2049,2050 +ambitions,annual_demand,TWh/yr,240,240,242,246,250,254,257,261,265,269,272,277,280,284,287,291,294,298,301,305,308,311,314,319,321,325,329,332,335,339,342,346 +ambitions,coal_fleet_EAF,%/yr,58.5%,57.3%,56.5%,56.4%,56.4%,55.8%,55.6%,55.8%,55.6%,55.7%,56.3%,57.2%,57.5%,58.2%,58.9%,59.4%,59.6%,60.3%,61.3%,61.8%,61.9%,62.4%,65.3%,65.7%,66.3%,66.6%,67.1%,67.5%,68.4%,69.6%,71.0%,71.8% +ambitions,spinning_reserves,MW,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800,800 +ambitions,total_reserves,MW,2200,2200,2200,2200,2200,2200,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400,3400 +ambitions,reserve_margin_active,TRUE/FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE,TRUE +ambitions,reserve_margin,%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0%,10.0% diff --git a/docs/configtables/regions.csv b/docs/configtables/regions.csv new file mode 100644 index 0000000..e69de29 diff --git a/docs/configtables/resarea.csv b/docs/configtables/resarea.csv new file mode 100644 index 0000000..d750dbf --- /dev/null +++ b/docs/configtables/resarea.csv @@ -0,0 +1,3 @@ +Trigger, Description, Definition, Status +``redz``, Restrict renewables expansion to Phase 1 and Phase 2 Renewable Energy Development Zones (REDZs), , In active use +``corridors``, Restrict renewables expansion to strategic transmission corridors, , In active use diff --git a/docs/configtables/scenario.csv b/docs/configtables/scenario.csv new file mode 100644 index 0000000..22dd0ea --- /dev/null +++ b/docs/configtables/scenario.csv @@ -0,0 +1,6 @@ +,Unit,Values,Description +resarea,--,cf. :ref:`resarea`,"List of ``{resarea}`` wildcards to run." +regions,--,cf. :ref:`regions`,"List of ``{regions}`` wildcards to run." +model_file,--,cf. :ref:`model_file`,"List of ``{model_file}`` wildcards to run." +ll,--,cf. :ref:`ll`,"List of ``{ll}`` wildcards to run." +opts,--,cf. :ref:`opts`,"List of ``{opts}`` wildcards to run." diff --git a/docs/configtables/snapshots.csv b/docs/configtables/snapshots.csv new file mode 100644 index 0000000..bbc0f25 --- /dev/null +++ b/docs/configtables/snapshots.csv @@ -0,0 +1,4 @@ +,Unit,Values,Description +start,--,"str or datetime-like; e.g. YYYY-MM-DD","Left bound of date range" +end,--,"str or datetime-like; e.g. YYYY-MM-DD","Right bound of date range" +closed,--,"One of {None, ‘left’, ‘right’}","Make the time interval closed to the ``left``, ``right``, or open on both sides ``None``." \ No newline at end of file diff --git a/docs/configtables/solar.csv b/docs/configtables/solar.csv new file mode 100644 index 0000000..03a7504 --- /dev/null +++ b/docs/configtables/solar.csv @@ -0,0 +1,14 @@ +,Unit,Values,Description +cutout,--,"Should be a folder listed in the configuration ``atlite: cutouts:`` (e.g. 'europe-2013-era5') or reference an existing folder in the directory ``cutouts``. Source module can be ERA5 or SARAH-2.","Specifies the directory where the relevant weather data ist stored that is specified at ``atlite/cutouts`` configuration. Both ``sarah`` and ``era5`` work." +resource,,, +-- method,--,"Must be 'pv'","A superordinate technology type." +-- panel,--,"One of {'Csi', 'CdTe', 'KANENA'} as defined in `atlite `__","Specifies the solar panel technology and its characteristic attributes." +-- orientation,,, +-- -- slope,°,"Realistically any angle in [0., 90.]","Specifies the tilt angle (or slope) of the solar panel. A slope of zero corresponds to the face of the panel aiming directly overhead. A positive tilt angle steers the panel towards the equator." +-- -- azimuth,°,"Any angle in [0., 360.]","Specifies the `azimuth `_ orientation of the solar panel. South corresponds to 180.°." +capacity_per_sqkm,:math:`MW/km^2`,float,"Allowable density of solar panel placement." +correction_factor,--,float,"A correction factor for the capacity factor (availability) time series." +corine,--,"Any subset of the `CORINE Land Cover code list `_","Specifies areas according to CORINE Land Cover codes which are generally eligible for solar panel placement." +natura,bool,"{true, false}","Switch to exclude `Natura 2000 `_ natural protection areas. Area is excluded if ``true``." +potential,--,"One of {'simple', 'conservative'}","Method to compute the maximal installable potential for a node; confer :ref:`renewableprofiles`" +clip_p_max_pu,p.u.,float,"To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero." diff --git a/docs/configtables/solving-options.csv b/docs/configtables/solving-options.csv new file mode 100644 index 0000000..4d8e0b7 --- /dev/null +++ b/docs/configtables/solving-options.csv @@ -0,0 +1,10 @@ +,Unit,Values,Description +formulation,--,"Any of {'angles', 'kirchhoff', 'cycles', 'ptdf'}","Specifies which variant of linearized power flow formulations to use in the optimisation problem. Recommended is 'kirchhoff'. Explained in `this article `_." +load_shedding,bool,"{'true','false'}","Add generators with a prohibitively high marginal cost to simulate load shedding and avoid problem infeasibilities." +noisy_costs,bool,"{'true','false'}","Add random noise to marginal cost of generators by :math:`\mathcal{U}(0.009,0,011)` and capital cost of lines and links by :math:`\mathcal{U}(0.09,0,11)`." +min_iterations,--,int,"Minimum number of solving iterations in between which resistance and reactence (``x/r``) are updated for branches according to ``s_nom_opt`` of the previous run." +max_iterations,--,int,"Maximum number of solving iterations in between which resistance and reactence (``x/r``) are updated for branches according to ``s_nom_opt`` of the previous run." +nhours,--,int,"Specifies the :math:`n` first snapshots to take into account. Must be less than the total number of snapshots. Rather recommended only for debugging." +clip_p_max_pu,p.u.,float,"To avoid too small values in the renewables` per-unit availability time series values below this threshold are set to zero." +skip_iterations,bool,"{'true','false'}","Skip iterating, do not update impedances of branches." +track_iterations,bool,"{'true','false'}","Flag whether to store the intermediate branch capacities and objective function values are recorded for each iteration in ``network.lines['s_nom_opt_X']`` (where ``X`` labels the iteration)" \ No newline at end of file diff --git a/docs/configtables/solving-solver.csv b/docs/configtables/solving-solver.csv new file mode 100644 index 0000000..0843c86 --- /dev/null +++ b/docs/configtables/solving-solver.csv @@ -0,0 +1,3 @@ +,Unit,Values,Description +name,--,"One of {'gurobi', 'cplex', 'cbc', 'glpk', 'ipopt'}; potentially more possible","Solver to use for optimisation problems in the workflow; e.g. clustering and linear optimal power flow." +opts,--,"Parameter list for `Gurobi `_ and `CPLEX `_","Solver specific parameter settings." \ No newline at end of file diff --git a/docs/configtables/top_level.csv b/docs/configtables/top_level.csv new file mode 100644 index 0000000..9a26443 --- /dev/null +++ b/docs/configtables/top_level.csv @@ -0,0 +1,11 @@ +,Unit,Values,Description +version,--,0.x.x,"Version of PyPSA-ZA" +logging,,, +-- level,--,"Any of {'INFO', 'WARNING', 'ERROR'}","Restrict console outputs to all infos, warning or errors only" +-- format,--,"","Custom format for log messages. See `LogRecord `_ attributes." +-- build_natura_raster,bool,"{true, false}","Switch to enable the creation of the raster ``natura.tiff`` via the rule :mod:`build_natura_raster`." +-- build_topology,bool,"{true, false}","Switch to build the base network into specific regions via the rule :mod:`build_topology` or whether to keep use a pre-build base network." +-- build_cutout,bool,"{true, false}","Switch to enable the building of cutouts via the rule :mod:`build_cutout`." +-- use_eskom_wind_solar,bool,"{true, false}","Model defaults to Eskom hourly pu profiles for all wind and solar generators via :mod:`add_electricity`." +-- use_excel_wind_solar,bool,"{true, false}","Model defaults to excel input hourly pu profiles for all wind and solar generators." +-- build_renewable_profiles,bool,"{true, false}","Switch to enable calculation of renewable profiles using atlite and Global Wind Atlas." \ No newline at end of file diff --git a/docs/configuration.rst b/docs/configuration.rst new file mode 100644 index 0000000..9c01f12 --- /dev/null +++ b/docs/configuration.rst @@ -0,0 +1,267 @@ +.. + SPDX-FileCopyrightText: 2019-2020 The PyPSA-Eur Authors + + SPDX-License-Identifier: CC-BY-4.0 + +.. _config: + +########################################## +Configuration +########################################## + +PyPSA-RSA has several configuration options which are documented in this section and are collected in a ``config.yaml`` file located in the root directory. +Users should copy the provided default configuration (``config.default.yaml``) and amend their own modifications and assumptions in the user-specific +configuration file (``config.yaml``); confer installation instructions at :ref:`defaultconfig`. + +.. _toplevel_cf: + +Top-level configuration +======================= + +PyPSA-RSA imports the configuration options originally developed in `PyPSA-Eur `_ and here reported and adapted. + +The options here described are collected in a ``config.yaml`` file located in the root directory. +Users should copy the provided default configuration (``config.default.yaml``) and amend +their own modifications and assumptions in the user-specific configuration file (``config.yaml``); +confer installation instructions at :ref:`defaultconfig`. + +.. note:: + Credits to PyPSA-Eur and PyPSA-meets-Earth developers for the initial drafting of the configuration documentation here reported + +.. _toplevel_cf: + +Top-level configuration +======================= + +.. literalinclude:: ../config.default.yaml + :language: yaml + :lines: 1-5,25-31 + +.. + .. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/toplevel.csv + +.. _scenario: + +``scenario`` +============ + +It is common conduct to analysis of energy system optimisation models for **multiple scenarios** for a variety of reasons, +e.g. assessing their sensitivity towards changing the temporal and/or geographical resolution or investigating how +investment changes as more ambitious greenhouse-gas emission reduction targets are applied. + +The ``scenario`` section is an extraordinary section of the config file +that is strongly connected to the :ref:`wildcards` and is designed to +facilitate running multiple scenarios through a single command + +.. code:: bash + + snakemake -j 1 solve_all_networks + +For each wildcard, a **list of values** is provided. The rule ``solve_all_networks`` will trigger the rules for creating ``results/networks/solved_{model_file}_{regions}_{resarea}_l{ll}_{opts}.nc`` for **all combinations** of the provided wildcard values as defined by Python's `itertools.product(...) `_ function that snakemake's `expand(...) function `_ uses. + +An exemplary dependency graph (starting from the simplification rules) then looks like this: + +.. image:: img/scenarios.png + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: scenario: + :end-before: data: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/scenario.csv + +.. _snapshots_cf: + +``snapshots``- now specified in model_file.xlsx +=============================================== + +Specifies the temporal range to build an energy system model for as arguments to `pandas.date_range `_ + +.. .. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: years: + :end-before: electricity: + +.. .. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/snapshots.csv + +.. _electricity_cf: + +``electricity`` +=============== + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: electricity: + :end-before: respotentials: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/electricity.csv + +.. warning:: + Carriers in ``conventional_carriers`` must not also be in ``extendable_carriers``. + +.. _atlite_cf: + +``atlite`` +========== + +Define and specify the ``atlite.Cutout`` used for calculating renewable potentials and time-series. All options except for ``features`` are directly used as `cutout parameters `_. + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: atlite: + :end-before: renewable: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/atlite.csv + +.. _renewable_cf: + +``renewable`` +============= + +``onwind`` +---------- + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: renewable: + :end-before: solar: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/onwind.csv + +``solar`` +--------------- + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: solar: + :end-before: hydro_inflow: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/solar.csv + +``hydro`` +--------------- + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: hydro_inflow: + :end-before: lines: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/hydro.csv + +.. _lines_cf: + +``lines`` +============= + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: lines: + :end-before: links: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/lines.csv + +.. _links_cf: + +``links`` +============= + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: links: + :end-before: augmented_line_connection: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/links.csv + +.. _costs_cf: + +``costs`` +============= + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: costs: + :end-before: tsam_clustering: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/costs.csv + +.. note:: + To change cost assumptions in more detail (i.e. other than ``marginal_cost`` and ``capital_cost``), consider modifying cost assumptions directly in ``data/costs.csv`` as this is not yet supported through the config file. + You can also build multiple different cost databases. Make a renamed copy of ``data/costs.csv`` (e.g. ``data/costs-optimistic.csv``) and set the variable ``COSTS=data/costs-optimistic.csv`` in the ``Snakefile``. + +.. _solving_cf: + +``solving`` +============= + +``options`` +----------- + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: solving: + :end-before: solver: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/solving-options.csv + +``solver`` +---------- + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: solver: + :end-before: plotting: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/solving-solver.csv + +.. _plotting_cf: + +``plotting`` +============= + +.. literalinclude:: ../config.default.yaml + :language: yaml + :start-at: plotting: + +.. csv-table:: + :header-rows: 1 + :widths: 25,7,22,30 + :file: configtables/plotting.csv \ No newline at end of file diff --git a/docs/costs.rst b/docs/costs.rst new file mode 100644 index 0000000..fc5cb50 --- /dev/null +++ b/docs/costs.rst @@ -0,0 +1,53 @@ +.. + SPDX-FileCopyrightText: 2019-2020 The PyPSA-Eur Authors + + SPDX-License-Identifier: CC-BY-4.0 + +################## +Cost Assumptions +################## + +The database of cost assumptions is stored in ``model_file.xlsx``. + +It includes a sheet `costs` which specifies the cost assumptions for all included technologies for specific +years from various sources, namely for + +- discount rate, +- lifetime, +- investment (CAPEX), +- fixed operation and maintenance (FOM), +- variable operation and maintenance (VOM), +- fuel costs, +- efficiency, and +- carbon-dioxide intensity. + +The given overnight capital costs are annualised to net present costs +with a discount rate of :math:`r` over the economic lifetime :math:`n` using the annuity factor + +.. math:: + + a = \frac{1-(1+r)^{-n}}{r}. + +Based on the parameters above the ``marginal_cost`` and ``capital_cost`` of the system components are calculated. + +.. note:: + + Another great resource for cost assumptions is the `cost database from the Danish Energy Agency `_. + +Modifying Cost Assumptions +========================== + +Some cost assumptions (e.g. marginal cost and capital cost) can be directly overwritten in the ``config.yaml`` (cf. Section :ref:`costs_cf` in :ref:`config`). + +To change cost assumptions in more detail, modify cost assumptions directly in ``costs`` sheet of ``model_file.xlsx`` as this is not yet supported through the config file. + +You can also build multiple different cost databases for different scenarios. Copy all costs in the ``costs`` sheet ``model_file.xlsx`` and paste them in an empty row +below the existing data and give the copied data a new scenario name (e.g. copy and paste costs to new rows and name the scenario "least_cost"). + + +Default Cost Assumptions +======================== + +.. csv-table:: + :header-rows: 1 + :file: configtables/model_file_costs.csv diff --git a/docs/data_workflow.rst b/docs/data_workflow.rst new file mode 100644 index 0000000..11fb1f1 --- /dev/null +++ b/docs/data_workflow.rst @@ -0,0 +1,110 @@ +.. + SPDX-FileCopyrightText: 2021 The PyPSA meets Earth authors + + SPDX-License-Identifier: CC-BY-4.0 + +.. _data_workflow: + +########################################## +Data used by the model +########################################## + +This section explains in detail how PyPSA-RSA downloads and retrieves the various data types. + +Preparing the power grid layout and climatic inputs are two essential aspects of the energy modelling workflow. In addition, PyPSA-RSA utilises several environmental, economic, and technological datasets. + +1. Grid topology data +=================================== + +PyPSA-RSA allows the user to select the desired spatial resolution; shape files are presently available for South Africa, the nine provinces of South Africa, the ten supply areas outlined in the Eskom TDP, and the twenty-seven Eskom supply regions. +These shape files may be found in `data/bundle/supply regions/regions.shp`, where `regions` represents the desired spatial resolution, such as `10-supply`. + +The grid topology model is constructed using the `build_topology` rule. When the rule `build_topology` is executed, the buses and lines are computed and saved as geojson files in the folders `resources/buses_{regions}.geojson` and `resources/lines_{regions}.geojson` for each region. + + +2. Climate data +=================================== + +The climate data processing is provided by the `atlite `_ package and `GWA `_. + +The `build_cutout` rule downloads weather data from either `ERA5 `_ reanalysis weather dataset or `SARAH-2 `_ +satellite-based historic weather data. It extracts all the required whether and climate data to generate the time series of renewable potential by `build_renewable_profiles` rule. + +The rule `build_renewable_profiles` corrects for the wind speed at 100m using `GWA `_ data which is provided in `data/bundle/ZAF_wind-speed_100m.tif`. + +.. image:: img/buils_renewables_profiles_cap_factor.png + :width: 80% + :align: center + +3. General data +=================================== + +There are a number datasets applied in PyPSA-ZA to build a realistic model. Original datasets are stored in the `data/bundle` folder. Currently we are using the following resources. + +Environmental +------------------------------------ + +* **SAPAD** The South African Protected Areas Database (SAPAD) + +.. image:: img/copernicus.png + :height: 150 px + :align: center + +It is used in the `build_natura_raster` rule to quantify what are the land regions available for the installation of renewable resources, e.g. renewable assets may not be installed on arable land. + +* **SACAD** The South African Conservation Areas Database (SACAD) + +.. image:: img/copernicus.png + :height: 150 px + :align: center + +It is used in the `build_natura_raster` rule to quantify what are the land regions available for the installation of renewable resources, e.g. renewable assets may not be installed on arable land + +* **redz** A dataset of the Renewable Energy Development Zones (REDZs) containing 8 priority areas for investment of wind and solar PV development available from the `Department of Forestry, Fishers and the Environment `_ of the Republic of South Africa. + +The dataset is used to restrict renewable energy expansion to the REDZs regions in the rule `build_renewable_profiles`. + +* **corridors** A dataset of REDZs Strategic Transmission Corridors containing 5 priority areas for the investement of new +electricity transmission and distribution infrustructure available from the `Department of Forestry Fishers and the Environment `_ + +The dataset is used to restrict renewable energy expansion to the strategic transmission corridors regions in the rule `build_renewable_profiles`. + +.. image:: img/gebco_2021_grid_image.jpg + :width: 150% + :align: center + +* **salandcover** A dataset of the `South African National Land Cover `_ + +Economical +------------------------------------ + +* **costs.csv** spreadsheet in `model_file.xlsx` file which contains the default costs of the technologies along with their typical lifetime and efficiency values. The dataset is intended to give a starting point for running the model while user specific adjustments may be made. + +* **ZAF15adjv4.tif** raster dataset of the population located in `data/bundle/South_Africa_100m_Population/ZAF15adjv4.tif` + +Technological +------------------------------------ + +* **EIA_hydro_generation_2011_2014.csv** contains data on total energy production of existing plants as reported per country by the open US Energy Information Administration `EIA platforms `_. It is used to calibrate the runoff time series obtained from the global reanalysis data. + +4. Pre-calculated datasets +=================================== + +There are some datasets which were prepared to ensure smooth run of the model. However, they may (and in some cases) must be replaced by custom ones. + +* **natura.tiff** contains geo-spatial data on location of protected and conservation areas and may be used as mask the exclude such areas when calculating the renewable potential by `build_renewable_profiles` rule. The `natura` flag in the configuration file allows to switch-on this option while presence of the `natura.tiff` in the `resources` folder is needed to run the model. + +Currently the pre-build file is calculated for South Africa using the `SAPAD` and `SACAD` datasets. + +* **SystemEnergy2009_22.csv** is the electricity demand profile provided from the Eskom data portal. This pre-downloaded data on electricity demand is placed in `data/bundle/SystemEnergy2009_22.csv`. + +* **eskom_pu_profiles.csv** is Eskom hourly pu profiles for all wind and solar generators in South Africa. The `use_eskom_wind_solar` flag in the configuration file allows to switch-on this option. This data is located in `data/eskom_pu_profiles.csv` + +* **num_lines.xlsx** is the number of high voltage transmission lines (i.e 275kV, 400kV and 765kV) between neighbouring regions. + +* **Eskom EAF data.xlsx** is daily Energy Availability Factor of `Eskom `_ plants. It is the difference between the maximum availability and all unavailabilities (PCLF, UCLF & OCLF) expressed as a percentage. This excludes renewables, IPPs and international imports. This pre-downloaded data is placed in `data/Eskom EAF data.xlsx` + +5. Scenario generation spreadsheet +=================================== +model_file="model_file.xlsx", + diff --git a/docs/how_to_contribute.rst b/docs/how_to_contribute.rst new file mode 100644 index 0000000..ba77a7f --- /dev/null +++ b/docs/how_to_contribute.rst @@ -0,0 +1,54 @@ +.. + SPDX-FileCopyrightText: 2021 The PyPSA meets Earth authors + + SPDX-License-Identifier: CC-BY-4.0 + +.. _how_to_contribute: + +########################################## +Сontribute +########################################## + +We welcome and really value contributions! Every contribution is valuable, and you always get credits. + +Contributions to the code can be made in several ways: + +- submit feedback, +- add new features, +- report bugs, +- fix bugs, +- implement a new cluster/cloud computation backend, +- write documentation + + +Code +==== + +For every code contribution you should run `pre-commit `_. +This will lint, format and check your code contributions against our guidelines +(e.g. we use `Black `_ as code style +and aim for `REUSE compliance `_): + +1. Installation ``conda install -c conda-forge pre-commit`` or ``pip install pre-commit`` +2. Usage: + * To automatically activate ``pre-commit`` on every ``git commit``: Run ``pre-commit install`` + * To manually run it: ``pre-commit run --all`` + +Add a new test if you want to contribute new functionality to the config. +We perform currently *multiple* integration tests which means various workflows need to work. +All test configs are build by updating the ``config.tutorial.yaml`` with the configs in ``pypysa-za/test/*.yaml``. + + * You can test your contribution locally with ``snakemake --cores 4 run_tests``. This will build test configs and executes them. + * Run ``snakemake -j1 build_test_configs`` to build and analyse locally the test configs. + +To contribute a test: + +1. Provide a new test in ``test/.yaml``, or adjust one of the existing ones. These tests update the config.tutorial.yaml to test other options e.g. landlock countries. +2. Add a new test config path to the ``rule build_all_test`` in the ``Snakefile``. +3. If your functionality should be tested in the CI for every pull request, add a respective code in ``.github/workflows/ci-linux.yaml``. We test all functionalities only for Linux while providing a general test for windows and mac. + + +No-Code +======== +Instead of contributing code there are alternatives to support the PyPSA-RSA goals. +You can fund projects, supervise students, support us with outreach activities or events. diff --git a/docs/img/1-supply.pgw b/docs/img/1-supply.pgw new file mode 100644 index 0000000..bbdcc3a --- /dev/null +++ b/docs/img/1-supply.pgw @@ -0,0 +1,6 @@ +0.00676703698935091 +0 +0 +-0.00676703698935091 +13.96591680738945129 +-21.810685077494675 diff --git a/docs/img/1-supply.png b/docs/img/1-supply.png new file mode 100644 index 0000000..a7de130 Binary files /dev/null and b/docs/img/1-supply.png differ diff --git a/docs/img/11-supply.pgw b/docs/img/11-supply.pgw new file mode 100644 index 0000000..bbdcc3a --- /dev/null +++ b/docs/img/11-supply.pgw @@ -0,0 +1,6 @@ +0.00676703698935091 +0 +0 +-0.00676703698935091 +13.96591680738945129 +-21.810685077494675 diff --git a/docs/img/11-supply.png b/docs/img/11-supply.png new file mode 100644 index 0000000..334f951 Binary files /dev/null and b/docs/img/11-supply.png differ diff --git a/docs/img/27-supply.pgw b/docs/img/27-supply.pgw new file mode 100644 index 0000000..bbdcc3a --- /dev/null +++ b/docs/img/27-supply.pgw @@ -0,0 +1,6 @@ +0.00676703698935091 +0 +0 +-0.00676703698935091 +13.96591680738945129 +-21.810685077494675 diff --git a/docs/img/27-supply.png b/docs/img/27-supply.png new file mode 100644 index 0000000..e7bb8ac Binary files /dev/null and b/docs/img/27-supply.png differ diff --git a/docs/img/buils_renewables_profiles_cap_factor.png b/docs/img/buils_renewables_profiles_cap_factor.png new file mode 100644 index 0000000..dfa65c9 Binary files /dev/null and b/docs/img/buils_renewables_profiles_cap_factor.png differ diff --git a/docs/img/pypsa-rsa_spatial2.png b/docs/img/pypsa-rsa_spatial2.png new file mode 100644 index 0000000..6fdb338 Binary files /dev/null and b/docs/img/pypsa-rsa_spatial2.png differ diff --git a/docs/img/validation-4_RSA_redz_lcopt_LC_p_nom_ext.png b/docs/img/validation-4_RSA_redz_lcopt_LC_p_nom_ext.png new file mode 100644 index 0000000..647ebe8 Binary files /dev/null and b/docs/img/validation-4_RSA_redz_lcopt_LC_p_nom_ext.png differ diff --git a/docs/img/workflow.png b/docs/img/workflow.png new file mode 100644 index 0000000..59a3f13 Binary files /dev/null and b/docs/img/workflow.png differ diff --git a/docs/img/workflow_descriptive.png b/docs/img/workflow_descriptive.png new file mode 100644 index 0000000..91d1040 Binary files /dev/null and b/docs/img/workflow_descriptive.png differ diff --git a/docs/index.rst b/docs/index.rst new file mode 100644 index 0000000..02de237 --- /dev/null +++ b/docs/index.rst @@ -0,0 +1,109 @@ +.. pypsa-za documentation master file, created by + sphinx-quickstart on Fri Jan 6 10:47:23 2023. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. + +PyPSA-RSA: An open Optimisation Model of the South African Power System +======================================================================= + +PyPSA-RSA is an open model dataset of the South African power system at three spatial resolutions namely; + +- ``1-supply``: A single node for the entire South Africa. +- ``11-supply``: 11 nodes based on the `Eskom Generation Connection Capacity Assessment of the 2024 Transmission Network (GCCA – 2024) `_ regions. +- ``27-supply``: 27 nodes based on Eskom 27 supply regions. + +.. image:: img/1-supply.png + :width: 500 + :align: center + :alt: 1-supply + +.. image:: img/11-supply.png + :width: 500 + :align: center + :alt: 9-supply + +.. image:: img/27-supply.png + :width: 500 + :align: center + :alt: 27-supply + +PyPSA-RSA is a high temporal resolution multi-horizon expansion planning model for a least cost optimised transition path to +a decarbonised power sector over the coming decades for South Africa. + +PyPSA-RSA makes use of freely available and open data which encourages the open exchange of model data developments and eases the comparison of model results. +It provides a full, automated software pipeline to assemble the load-flow-ready model from the original datasets, which enables easy replacement and +improvement of the individual parts. + +PyPSA-RSA is designed to be imported into the open toolbox `PyPSA `_ for which `documentation `_ is available as well. + +This project is currently maintained by `Meridian Economics `_. Previous versions were developed within the Energy Centre +at the `Council for Scientific and Industrial Research (CSIR) `_ as part of the `CoNDyNet project `_, which is supported by the +`German Federal Ministry of Education and Research `_ under grant no. 03SF0472C. + +The model is currently under development and has been validated for the single node (`1-supply`), for more information on the capability of the moel please see the :ref:`release-notes`. + +.. note:: + Credits to `PyPSA-Eur `_ and `PyPSA-Meets-Earth `_ developers for the initial drafting of the documentation here reported and adapted where necessary + +============= +Documentation +============= + +**Getting Started** + +* :doc:`introduction` +* :doc:`installation` +* :doc:`workflow` +* :doc:`tutorials` +* :doc:`data_workflow` + +.. toctree:: + :hidden: + :maxdepth: 2 + :caption: Getting Started + + introduction + installation + workflow + tutorials + data_workflow + +**Configuration** + +* :doc:`wildcards` +* :doc:`configuration` +* :doc:`costs` + +.. toctree:: + :hidden: + :maxdepth: 2 + :caption: Configuration + + wildcards + configuration + costs + +**API** + +* :doc:`api_reference` + +.. toctree:: + :hidden: + :maxdepth: 2 + :caption: API + + api_reference + + +**Help and References** + +* :doc:`release_notes` +* :doc:`how_to_contribute` + +.. toctree:: + :hidden: + :maxdepth: 2 + :caption: Project Info + + release_notes + how_to_contribute diff --git a/docs/installation.rst b/docs/installation.rst new file mode 100644 index 0000000..ad17f9e --- /dev/null +++ b/docs/installation.rst @@ -0,0 +1,118 @@ +.. _installation: + +########################################## +Installation +########################################## + +The subsequently described installation steps are demonstrated as shell commands, where the path before the % sign denotes the directory in which the commands following the % should be entered. + +Clone the Repository +==================== + + +First of all, clone the `PyPSA-RSA repository `_ using the version control system ``git``. +The path to the directory into which the ``git repository`` is cloned, must **not** have any spaces! +If you do not have ``git`` installed, follow installation instructions `here `_. + +.. code-block:: bash + + /some/other/path % cd /some/path/without/spaces + /some/path/without/spaces % git clone https://github.com/MeridianEconomics/pypsa-rsa.git +.. _deps: + +Install Python Dependencies +=========================== + +PyPSA-RSA relies on a set of other Python packages to function. +We recommend using the package manager and environment management system ``conda`` to install them. +Install `miniconda `_, which is a mini version of `Anaconda `_ +that includes only ``conda`` and its dependencies or make sure ``conda`` is already installed on your system. +For instructions for your operating system follow the ``conda`` `installation guide `_. + +The python package requirements are curated in the `envs/environment.yaml `_ file. + +The environment can be installed and activated using: + +.. code-block:: bash + + .../pypsa-rsa % conda env create -f environment.yaml + .../pypsa-rsa % conda activate pypsa-rsa + +Note that activation is local to the currently open shell! +After opening a new terminal window, one needs to reissue the second command! + +.. note:: + If you have troubles with a slow ``conda`` installation, we recommend to install + `mamba `_ as a fast drop-in replacement via + + .. code-block:: bash + + conda install -c conda-forge mamba + + and then install the environment with + + .. code-block:: bash + + mamba env create -f envs/environment.yaml + +Download Data Dependencies +========================== +For ease of installation and reproduction we provide a bundle with the necessary data files. +To obtain the data + +.. code-block:: bash + + .../data % gdown --folder \ https://drive.google.com/drive/folders/17f54zTMEfeFZhNByXxLkf9qcZRdhng03?usp=drive_link -O . + +Install a Solver +================ + +PyPSA passes the PyPSA-RSA network model to an external solver for performing a total annual system cost minimization with optimal power flow. +PyPSA is known to work with the free software + +- `Ipopt `_ +- `Cbc `_ +- `GLPK `_ (`WinGLKP `_) +- `HiGHS `_ + +For installation instructions of these solvers for your operating system, follow the links above. +Commercial solvers such as Gurobi and CPLEX currently significantly outperform open-source solvers for large-scale problems. +It might be the case that you can only retrieve solutions by using a commercial solver. + +.. note:: + The rules :mod:`cluster_network` and :mod:`simplify_network` solve a quadratic optimisation problem for clustering. + The open-source solvers Cbc and GLPK cannot handle this. A fallback to Ipopt is implemented in this case, but requires + also Ipopt to be installed. For an open-source solver setup install in your ``conda`` environment on OSX/Linux + + .. code:: bash + + conda activate pypsa-rsa + conda install -c conda-forge ipopt coincbc + + and on Windows + + .. code:: bash + + conda activate pypsa-rsa + conda install -c conda-forge ipopt glpk + +.. warning:: + On Windows, new versions of ``ipopt`` have caused problems. Consider downgrading to version 3.11.1. + +.. _defaultconfig: + +Set Up the Default Configuration +================================ + +PyPSA-RSA has several configuration options that must be specified in a ``config.yaml`` file located in the root directory. +An example configuration ``config.default.yaml`` is maintained in the repository. +More details on the configuration options are in :ref:`config`. + +Before first use, create a ``config.yaml`` by copying the example. + +.. code:: bash + + .../pypsa-rsa % cp config.default.yaml config.yaml + +Users are advised to regularly check their own ``config.yaml`` against changes in the ``config.default.yaml`` +when pulling a new version from the remote repository. diff --git a/docs/introduction.rst b/docs/introduction.rst new file mode 100644 index 0000000..8b6a1a8 --- /dev/null +++ b/docs/introduction.rst @@ -0,0 +1,100 @@ +.. + SPDX-FileCopyrightText: 2021 The PyPSA-RSA authors + + SPDX-License-Identifier: CC-BY-4.0 + +.. _introduction: + +########################################## +Introduction +########################################## + +History +======== + +Historically, commercial tools have been extensively utilised by both governments and utilities to develop capacity +expansion plans. One of the challenges of utilising such commercial tools to support transparent energy policy is +the closed nature of the models, which are essentially a ‘black-box’. For this reason, initiatives such as +`openmod `_ have been developed with the goal of creating open energy +modelling platforms that are based on `open-source software `_ as well as open data. + +`PyPSA (Python for Power System Analysis) `_ is a diverse toolbox of modules that can be assembled to produce a power / energy +system modelling framework to meet specific requirements. As described by `Brown et al `_ +PyPSA includes a toolbox of modules for multi-horizon investment planning, unit commitment of conventional generators, +time-varying renewable generators, storage units, all combinations of direct and alternating current electricity networks, +and the coupling of electricity to other energy sectors, such as gas, heating and transport. + +An initial PyPSA-RSA model of the South African power system called PyPSA-RSA was developed by `Hörsch +and Calitz `_ who studied a future renewable energy based +South African electricity network for a single reference year (in other words, it was not an +intertemporally optimised power system development model – showing an optimised transition +over time – it only provided a snapshot of an optimised high renewables system at a particular +point in time – 2040, albeit with reasonable spatial (network) resolution. The initial PyPSA-RSA model +is described and evaluated in the paper +`PyPSA-RSA: Investment and operation co-optimization of integrating wind and solar in South Africa at high spatial and temporal detail `_. + +`PyPSA `_ has also been utilised to build an extensive interconnected power system model of the European power system +`PyPSA-Eur `_. This model has been further extended to include full sector +coupling of power, transportation and heat demand `PyPSA-Eur-Sec `_. +Like the PyPSA-RSA model, the PyPSA-Eur model framework has been designed to handle high spatial resolution +(detailed network specification, i.e. grid constraints), but it does not perform multi-year optimisation and instead analyses +a single year snapshot. In the African context the project `PyPSA-Meets-Earth `_ +is currently ongoing and aims to develop an interconnected, high-level, African power system model on the same basis as PyPSA-Eur. +Multi-horizon planning functionality, based on the assumption of “perfect foresight”, was only recently added to PyPSA in 2021, +and currently PyPSA-Eur, PyPSA-RSA, and PyPSA-meets-Earth do not yet incorporate this capability. +The PyPSA-Eur-Sec model does include myopic expansion planning capability that is based on separating the planning horizon +into several shorter periods that are solved as separate optimisations. + +Currently, there is no existing `PyPSA `_ model +for South Africa that can be used to address the multi-year, least cost optimised, transition path to +a decarbonised power sector over the coming decades. Therefore, an updated and expanded PyPSA-RSA model +is required that is comparable with the existing, mostly proprietary, modelling approaches that are +used in the country. + +In 2022 `Meridian Economics `_ leveraged the experience from +`PyPSA-Eur `_, PyPSA-RSA and `PyPSA meets Earth `_ +to significantly shorten the development time frame for the new model. `Meridian Economics `_ has undergone extensive work in terms of +input datasets, model development, and validation against existing results from commercial tools to establish PyPSA-RSA credibility to ensure that the outcomes can +be trusted to support policy decisions. The updated PyPSA-RSA model has the following capabilities: + +- ``Updated input data``: Includes latest assumptions around technology performance and learning rates. +- ``Multi-horizon capacity expansion planning``: Myopic and/or perfect foresight expansion capabilities which can solve in five-year time steps up to 2050. +- ``Validation test case`` : Benchmarked case studies using existing energy planning results in the public domain such as those developed by the `CSIR `_. +- ``Solar and wind resource assessment`` : Utilises the `Atlite module `_ and `Global Wind Atlas `_ to generate renewable potentials for South Africa’s Renewable Energy Development Zones. +- ``Model file`` : Input excel spreadsheet for easier model input. + +Folder structure +================ + +The content in this package is organized in folders as described below; for more details, please see the documentation. + +- ``data``: Includes input data that is not produced by any ``snakemake`` rule. +- ``scripts``: Includes all the Python scripts executed by the ``snakemake`` rules. +- ``resources``: Stores intermediate results of the workflow which can be picked up again by subsequent rules. +- ``networks``: Stores intermediate, unsolved stages of the PyPSA network that describes the energy system model. +- ``results``: Stores the solved PyPSA network data, summary files and plots. +- ``benchmarks``: Stores ``snakemake`` benchmarks. +- ``logs``: Stores log files about solving, including the solver output, console output and the output of a memory logger. +- ``envs``: Stores the conda environment files to successfully run the workflow. + + +License +======= + +PyPSA-RSA work is released under multiple licenses: + +* All original source code is licensed as free software under `MIT License `_. +* The documentation is licensed under `CC-BY-4.0 `_. +* Configuration files are mostly licensed under `CC0-1.0 `_. +* Data files are licensed under different licenses as noted below. + +Licenses and urls of the data used in PyPSA-RSA: + +.. csv-table:: + :header-rows: 1 + :file: configtables/licenses.csv + + +* *BY: Attribute Source* +* *NC: Non-Commercial Use Only* +* *SA: Share Alike* diff --git a/docs/make.bat b/docs/make.bat new file mode 100644 index 0000000..747ffb7 --- /dev/null +++ b/docs/make.bat @@ -0,0 +1,35 @@ +@ECHO OFF + +pushd %~dp0 + +REM Command file for Sphinx documentation + +if "%SPHINXBUILD%" == "" ( + set SPHINXBUILD=sphinx-build +) +set SOURCEDIR=source +set BUILDDIR=build + +%SPHINXBUILD% >NUL 2>NUL +if errorlevel 9009 ( + echo. + echo.The 'sphinx-build' command was not found. Make sure you have Sphinx + echo.installed, then set the SPHINXBUILD environment variable to point + echo.to the full path of the 'sphinx-build' executable. Alternatively you + echo.may add the Sphinx directory to PATH. + echo. + echo.If you don't have Sphinx installed, grab it from + echo.https://www.sphinx-doc.org/ + exit /b 1 +) + +if "%1" == "" goto help + +%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% +goto end + +:help +%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% + +:end +popd diff --git a/docs/release_notes.rst b/docs/release_notes.rst new file mode 100644 index 0000000..066992c --- /dev/null +++ b/docs/release_notes.rst @@ -0,0 +1,42 @@ +.. + SPDX-FileCopyrightText: 2021 The PyPSA-Earth Authors + + SPDX-License-Identifier: CC-BY-4.0 + +.. _release-notes: + +########################################## +Release Notes +########################################## + + +Upcoming Release +================ + +**New Features and major Changes** + +* List of features + +Release Process +=============== + +* Checkout a new release branch ``git checkout -b release-v0.x.x``. + +* Finalise release notes at ``doc/release_notes.rst``. + +* Update ``envs/environment.fixed.yaml`` via + ``conda env export -n pypsa-za -f envs/environment.fixed.yaml --no-builds`` + from an up-to-date `pypsa-za` environment. + +* Update version number in ``doc/conf.py`` and ``*config.*.yaml``. + +* Open, review and merge pull request for branch ``release-v0.x.x``. + Make sure to close issues and PRs or the release milestone with it (e.g. closes #X). + +* Tag a release on Github via ``git tag v0.x.x``, ``git push``, ``git push --tags``. Include release notes in the tag message. + +* Upload code to `zenodo code repository `_ with `GPLv3 license `_. + +* Create pre-built networks for ``config.default.yaml`` by running ``snakemake -j 1 extra_components_all_networks``. + +* Upload pre-built networks to `zenodo data repository `_ with `CC BY 4.0 `_ license. \ No newline at end of file diff --git a/docs/requirements.txt b/docs/requirements.txt new file mode 100644 index 0000000..856b3f4 --- /dev/null +++ b/docs/requirements.txt @@ -0,0 +1,2 @@ +sphinx +sphinx_rtd_theme \ No newline at end of file diff --git a/docs/structure.rst b/docs/structure.rst new file mode 100644 index 0000000..32e6171 --- /dev/null +++ b/docs/structure.rst @@ -0,0 +1,43 @@ +.. + SPDX-FileCopyrightText: 2021 The PyPSA meets Earth authors + + SPDX-License-Identifier: CC-BY-4.0 + +.. _structure: + +########################################## +The structure +########################################## + +The main workflow structure built within PyPSA-Earth is as follows: + +**1. Download and filter data**: first raw input data shall be downloaded. PyPSA-Earth provides automated + procedures to successfully download all the needed data from scratch, such as OpenStreetMap data, + specific potential of renewable sources, population, GDP, etc. Moreover, raw data shall be filtered to remove non-valid data and normalize the data + gathered from multiple sources. + +**2. Populate data**: filtered data are then processed by means of specific methods to derive the + main input data of the optimization methods, such as renewable energy production, demand, etc. + Just to give an example, when the option is enabled, the renewable energy source potential + is transformed into time series for desired locations by using the tool `Atlite `_. + +**3. Create network model**: once the necessary model inputs are drawn, then the network model is + developed using `PyPSA `_ + +**4. Solve network**: execute the optimization for the desired problem, e.g. dispatch, planning, etc. + +**5. Summary and plotting**: once the model has been solved, produce nice summaries and plotting + +.. image:: img/Flowchart_base.png + :width: 80% + :align: center + +The entire execution of the workflow, from point 1 to point 5, relies on +the automated workflow management tool `Snakemake `_ that +iterates the execution of so-called "rules" in an organized way following the input-output chain. +The chart of the entire workflow is shown in the following image for a general overview: each block represent +a snakemake rule. + +.. image:: img/Flowchart_17_11_2021.png + :width: 80% + :align: center diff --git a/docs/tutorials.rst b/docs/tutorials.rst new file mode 100644 index 0000000..1f9eb23 --- /dev/null +++ b/docs/tutorials.rst @@ -0,0 +1,388 @@ +.. + SPDX-FileCopyrightText: 2021 The PyPSA meets Earth authors + + SPDX-License-Identifier: CC-BY-4.0 + +.. _tutorial: + + +########################################## +Tutorial +########################################## + +Before getting started with **PyPSA-RSA** it makes sense to be familiar +with its general modelling framework `PyPSA `__. + +The tutorial uses fewer computing resources than the entire model, allowing the user to explore +the majority of its features on a local computer. + +.. + It takes approximately five minutes to complete and requires 3 GB of memory along with 1 GB free disk space. + +If not yet completed, follow the :ref:`installation` steps first. + +The tutorial will cover examples on how to + +- configure and customise the PyPSA-RSA model and +- step-by-step exucetion of the ``snakemake`` workflow, from network creation through solving the network to analysing the results. + +The ``model_file.xlsx`` and ``config.yaml`` files are utilised to customise the PyPSA-RSA model. The tutorial's configuration is contained in +``model_file_tutorial.xlsx`` and ``config.tutorial.yaml``. Use the configuration and model setup files ``config.yaml`` and ``model_file.xlsx`` to run the tutorial + +.. code:: bash + + .../pypsa-za % cp config.tutorial.yaml config.yaml + .../pypsa-za % cp model_file_tutorial.xlsx model_file.xlsx + +.. + This configuration is set to download a reduced data set via the rules :mod:`retrieve_databundle`, + :mod:`retrieve_natura_raster`, :mod:`retrieve_cutout` totalling at less than 250 MB. + The full set of data dependencies would consume 5.3 GB. + For more information on the data dependencies of PyPSA-RSA, continue reading :ref:`data`. + +How to customise PyPSA-RSA? +============================= + +Model setup: model_file.xlsx +---------------------------- + +The ``model_file.xlsx`` contains databases of existing conventional and renewable power stations owned by Eskom or by IPP's. + +- existing Eskom stations + - scenario + - power station name + - carrier + - carrier type + - status + - capacity (MW) + - unit size (MW) + - number of units + - future commissioning date + - decommissioning date + - heat rate (GJ/MWh) + - fuel price (R/GJ) + - max ramp up (MW/min) + - max ramp down (MW/min) + - min stable level (%) + - variable O&M cost (R/MWh) + - fixed O&M cost (R/MWh) + - pump efficiency (%) + - pump units + - pump load per unit (MW) + - pumped storage - max storage (GWh) + - csp storage (hours) + - diesel storage (Ml) + - gas storage (MCM) + - GPS latitude + - GPS longitude +- existing non-Eskom stations + - scenario + - same as above, in addition: + - grouping +- new build limits + - scenario + - minimum installed limit + - maximum installed limit +- projected parameters + - scenario + - demand + - coal fleet energy availability factor (EAF) + - spinning reserves + - total reserves + - reserve margin + - active reserve margin +- technology costs + - scenario + - discount rate + - heat rate + - efficiency + - fixed O&M + - variable O&M + - investment + - lifetime + - fuel + - CO2 intensity +- model setup + - wildcard + - simulation years + - scenario: existing Eskom stations + - scenario: existing non-Eskom stations + - scenario: new build limits + - scenario: projected parameters + - scenario: costs + + +Configuration: config.yaml +---------------------------- + +The model can be further adapted using the ``config.yaml`` to only include a select number of ``regions`` (e.g. ``1-supply``, ``11-supply`` or ``27-supply``). The tutorial is setup to run the +``1-supply`` which uses a single node for the entire country. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-at: scenario: + :end-before: resarea: + +The model uses the ``regions`` selected to determine the network topology. When the option ``build_topology`` is enabled, the model constructs the network topology. It is necessary to enable this +when running the model for the first time or when changing the ``regions`` tag. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-at: build_topology: + :end-before: build_cutout: + +PyPSA-RSA provides three methods for generating renewable resource data. The tag ``use_eskom_wind_solar`` uses the pu profiles for all wind and solar generators as obtained from Eskom. The +tag ``use_excel_wind_solar`` utilises user specific hourly pu profiles provided in an excel spreadsheet. The tag ``build_renewables_profiles`` enables the model to calculate the temporal and +spatial availability of renewables such as wind and solar energy using historical weather data. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-at: use_eskom_wind_solar: + :end-at: build_renewable_profiles: + +For either three methods historical weather data is used and thus the year in which the data was obtained is specified for each carrier under the tag ``reference_weather_years``. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-at: reference_weather_years: + :end-before: electricity: + +If ``build_renewables_profiles`` is enabled then ``atlite`` is used to generate the renewable resource potential using reanalysis data which can be +downloaded by enabling the ``build_cutout`` tag. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-at: build_cutout: + :end-before: use_eskom_wind_solar: + +The cutout is is configured under the ``atlite`` tag. The options below can be adapted to download weather data for the required range of coordinates surrounding South Africa. +For more details on ``atlite`` please follow the `tutorials `_. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-at: atlite: + :end-before: renewable: + +The spatial resolution of the downloaded ERA5 dataset is given on a 30km x 30km grid. For wind power generation, this spatial resolution is not enough to resolve the local +dynamics. Enabling the ``apply_wind_correction`` tag, uses global wind atlas mean wind speed at 100m to correct the ERA5 data. + +Once the historical weather data is downloaded, ``atlite`` is used to convert the weather data to power systems data. Atlite uses pre-defined or custom turbine properties +which are specified under the ``resource`` tag. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-after: renewable: + :end-at: capacity_per_sqkm: + +Similarly, solar pv profiles are generated using pre-defined or custom panel properties which are specified under the ``resource`` tag. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :lines: 170-177 + +The renewable potentials are calculated for eligible land, excluding the conservation and protected areas. When the ``natura`` tag is enabled, the SACAD and SAPAD shape files located in `data/bundle` are +converted into ``tiff`` files. The conservation and protectected areas together with the areas of land with the ``grid_codes`` specified are excluded from calculation of renewable potential. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-at: salandcover: + :end-at: clip_p_max_pu: + +In addition, the expansion of renewable resources is limited to either the ``redz`` regions or areas close to the strategic transmission ``corridors``. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :lines: 10 + +The hydro power is obtained directly from Eskom data. + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-at: hydro_inflow: + :end-at: source: + +Finally, it is possible to pick a solver. For instance, this tutorial uses the open-source solvers CBC and Ipopt and does not rely +on the commercial solvers Gurobi or CPLEX (for which free academic licenses are available). + +.. literalinclude:: ../config.tutorial.yaml + :language: yaml + :start-at: solving: + :end-before: plotting: + +.. note:: + + To run the tutorial, either install CBC and Ipopt (see instructions for :ref:`installation`). + + Alternatively, choose another installed solver in the ``config.yaml`` at ``solving: solver:``. + +Note, that we only note major changes to the provided default configuration that is comprehensibly documented in :ref:`config`. +There are many more configuration options beyond what is adapted for the tutorial! + + +A good starting point to customize your model are settings of the default configuration file `config.default`. You may want to do a reserve copy of your current configuration file and then overwrite it by a default configuration: + +.. code:: bash + + .../pypsa-za (pypsa-za) % cp config.default.yaml config.yaml + + +How to execute different parts of the workflow? +=============================================== + +Snakemake is a workflow management tool inherited by PyPSA-RSA from PyPSA-Eur. +Snakemake decomposes a large software process into a set of subtasks, or ’rules’, that are automatically chained to obtain the desired output. + +.. note:: + + ``Snakemake``, which is one of the major dependencies, will be automatically installed in the environment pypsa-za, thereby there is no need to install it manually. + +The snakemake included in the conda environment pypsa-za can be used to execute any custom rule with the following command: + +.. code:: bash + + .../pypsa-za (pypsa-za) % snakemake < your custom rule > + +Starting with essential usability features, the implemented PyPSA-RSA `Snakemake procedure `_ that +allows to flexibly execute the entire workflow with various options without writing a single line of python code. For instance, you can model South Africa's energy system +using the required data. Wildcards, which are special generic keys that can assume multiple values depending on the configuration options, +help to execute large workflows with parameter sweeps and various options. + +You can execute some parts of the workflow in case you are interested in some specific it's parts. +E.g. renewable resource potentials for onshore wind in ``redz`` areas for a single node model may be generated with the following command which refers to the script name: + +.. code:: bash + + .../pypsa-earth (pypsa-earth) % snakemake -j 1 resources/profile_onwind_1-supply_redz.nc + +How to use PyPSA-RSA for your energy problem? +=============================================== + +PyPSA-RSA mostly relies on :ref:`input datasets ` specific to South Africa but can be tailored to represent any part of the world in a few steps. The following procedure is recommended. + +1. Adjust the model configuration +--------------------------------- + +The main parameters needed to customize the inputs for your national-specific data are defined in the :ref:`configuration ` file `config.yaml`. +The configuration settings should be adjusted according to a particular problem you are intending to model. The main country-dependent parameters are: + +* `regions` parameter which defines the network topology; + +* `resareas` parameter which defines zones suitable for renewable expansion based on country specific policies; + +* `cutouts` and `cutout` parameters which refer to a name of the climate data archive (so called `cutout `_) +to be used for calculation of the renewable potential. + +Apart of that, it's worth to check that there is a proper match between the temporal and spatial parameters across the configuration file as it is essential to build the model properly. +Generally, if there are any mysterious error message appearing during the first model run, there are chances that it can be resolved by a simple config check. + +It could be helpful to keep in mind the following points: + +1. the cutout name should be the same across the whole configuration file (there are several entries, one under `atlite` and some under each of the `renewable` parameters); + +2. the country of interest given as a shape file in `data/supply_regions/` should be covered by the cutout area; + +3. the cutout time dimension, the weather year used for demand modelling and the actual snapshot should match. + +2. Build the custom cutout +-------------------------- + +The cutout is the main concept of climate data management in PyPSA ecosystem introduced in `atlite `_ package. +The cutout is an archive containing a spatio-temporal subset of one or more topology and weather datasets. Since such datasets are typically global +and span multiple decades, the Cutout class allows atlite to reduce the scope to a more manageable size. More details about the climate data processing +concepts are contained in `JOSS paper `_. + +The pre-built cutout for South Africa is available for 2012 year and can be loaded directly from zenodo through the rule `retrieve_cutout`. + +In case you are interested in other parts of the world you have to generate a cutout yourself using the `build_cutouts` rule. To run it you will need to: + +1. be registered on the `Copernicus Climate Data Store `_; + +2. install `cdsapi` package (can be installed with `pip`); + +3. setup your CDS API key as described `on their website `_. + +These steps are required to use CDS API which allows an automatic file download while executing `build_cutouts` rule. + +Normally cutout extent is calculated from the shape of the requested region defined by the `countries` parameter in the configuration file `config.yaml`. +It could make sense to set the countries list as big as it's feasible when generating a cutout. A considered area can be narrowed anytime when building +a specific model by adjusting content of the `countries` list. + +There is also option to set the cutout extent specifying `x` and `y` values directly. However, these values will overwrite values extracted from the countries +shape. Which means that nothing prevents `build_cutout` to extract data which has no relation to the requested countries. Please use direct definition of `x` +and `y` only if you really understand what and why you are doing. + +The `build_cutout` flag should be set `true` to generate the cutout. After the cutout is ready, it's recommended to set `build_cutout` to `false` to avoid overwriting the existing cutout by accident. + +3. Build a natura.tiff raster +----------------------------- + +A raster file `natura.tiff` is used to store shapes of the protected and reserved nature areas. Such landuse restrictions can be taking into account when calculating the +renewable potential with `build_renewable_profiles`. + +.. note:: + Skip this recommendation if the region of your interest is within Africa + +A pre-built `natura.tiff` is loaded along with other data needed to run a model with `retrieve_databundle_light` rule. Currently this raster is valid for Africa, +global `natura.tiff` raster is under development. You may generate the `natura.tiff` for a region of interest using `build_natura_raster` rule which aggregates +data on protected areas along the cutout extent. + +.. + How to validate? + ================ + + .. TODO add a list of actions needed to do the validation + + To validate the data obtained with PyPSA-Earth, we recommend to go through the procedure here detailed. An exampled of the validation procedure is available in the `Nigeria validation `_ notebook. Public information on the power system of Nigeria are compared to those obtained from the PyPSA-Earth model. + + Simulation procedure + -------------------- + + It may be recommended to check the following quantities the validation: + + #. inputs used by the model: + + #. network characteristics; + + #. substations; + + #. installed generation by type; + + #. outputs of the simulation: + + #. demand; + + #. energy mix. + + Where to look for reference data + -------------------------------- + + Data availability for many parts of the world is still quite limited. Usually the best sources to compare with are regional data hubs. There is also a collection of harmonized datasets curated by the international organisations. A non-exhaustive list of helpful sources: + + * `World Bank `_; + + * International Renewable Energy Agency `IRENA `_; + + * International Energy Agency `IEA `_; + + * `BP `_ Statistical Review of World Energy; + + * International Energy Agency `IEA `_; + + * `Ember `_ Data Explorer. + +.. + Advanced validation examples + ---------------------------- + + The following validation notebooks are worth a look when validating your energy model: + + 1. A detailed `network validation `_. + + 2. Analys of `the installed capacity `_ for the considered area. + + 3. Validation of `the power demand `_ values and profile. + + 4. Validation of `hydro `_, `solar and wind `_ potentials. + + +.. include:: ./how_to_docs.rst diff --git a/docs/wildcards.rst b/docs/wildcards.rst new file mode 100644 index 0000000..321915b --- /dev/null +++ b/docs/wildcards.rst @@ -0,0 +1,150 @@ +.. + SPDX-FileCopyrightText: 2019-2020 The PyPSA-Eur Authors + + SPDX-License-Identifier: CC-BY-4.0 + +.. _wildcards: + +######### +Wildcards +######### + +It is easy to run PyPSA-RSA for multiple scenarios using the wildcards feature of ``snakemake``. +Wildcards allow to generalise a rule to produce all files that follow a regular expression pattern +which e.g. defines one particular scenario. One can think of a wildcard as a parameter that shows +up in the input/output file names of the ``Snakefile`` and thereby determines which rules to run, +what data to retrieve and what files to produce. + +Detailed explanations of how wildcards work in ``snakemake`` can be found in the +`relevant section of the documentation `_. + +.. _resarea: + +The ``{resarea}`` wildcard +========================== + +The ``{resarea}`` wildcard specifies whether to contrain renewable generators to `Renewable Energy Development Zones `_ or strategic transmission corridors. + +.. csv-table:: + :header-rows: 1 + :widths: 10,20,10,10 + :file: configtables/resarea.csv + +.. _model_file: + +The ``{model_file}`` wildcard +============================= + +The ``{model_file}`` wildcard specifies the technology cost assumptions to use from the input spreadsheet. +Cost assumptions in model_file.xlsx + +.. csv-table:: + :header-rows: 1 + :widths: 10,20,10,10 + :file: configtables/model_setup.csv + +.. _ll: + +The ``{ll}`` wildcard +===================== + +The ``{ll}`` wildcard specifies what limits on +line expansion are set for the optimisation model. +It is handled in the rule :mod:`prepare_network`. + +The wildcard, in general, consists of two parts: + + 1. The first part can be + ``v`` (for setting a limit on line volume) or + ``c`` (for setting a limit on line cost) + + 2. The second part can be + ``opt`` or a float bigger than one (e.g. 1.25). + + (a) If ``opt`` is chosen line expansion is optimised + according to its capital cost + (where the choice ``v`` only considers overhead costs for HVDC transmission lines, while + ``c`` uses more accurate costs distinguishing between + overhead and underwater sections and including inverter pairs). + + (b) ``v1.25`` will limit the total volume of line expansion + to 25 % of currently installed capacities weighted by + individual line lengths; investment costs are neglected. + + (c) ``c1.25`` will allow to build a transmission network that + costs no more than 25 % more than the current system. + +.. _opts: + +The ``{opts}`` wildcard +======================= + +The ``{opts}`` wildcard triggers optional constraints, which are activated in either +:mod:`prepare_network` or the :mod:`solve_network` step. +It may hold multiple triggers separated by ``-``, i.e. ``Co2L-3H`` contains the +``Co2L`` trigger and the ``3H`` switch. There are currently: + + +.. csv-table:: + :header-rows: 1 + :widths: 10,20,10,10 + :file: configtables/opts.csv + +.. _regions: + +The ``{regions}`` wildcard +========================== + +The PyPSA-RSA models can be narrowed to various number of nodes using the ``{regions}`` wildcard. + +If ``regions=27-supply``, then the rule :mod:`build_topology` setups 27 nodes based on the shape files. +If otherwise ``regions=RSA``, ``regions=9-supply``, ``regions=10-supply``, then the network is narrowed to n number of buses for the South African network. + + +.. _cutout_wc: + +The ``{cutout}`` wildcard +========================= + +The ``{cutout}`` wildcard facilitates running the rule :mod:`build_cutout` +for all cutout configurations specified under ``atlite: cutouts:``. +These cutouts will be stored in a folder specified by ``{cutout}``. + +.. _technology: + +The ``{technology}`` wildcard +============================= + +The ``{technology}`` wildcard specifies for which renewable energy technology to produce availability time +series and potentials using the rule :mod:`build_renewable_profiles`. +It can take the values ``onwind`` and ``solar`` but **not** ``hydro`` +(since hydroelectric plant profiles are created by a different rule). + +The wildcard can moreover be used to create technology specific figures and summaries. +For instance ``{technology}`` can be used to plot regionally disaggregated potentials +with the rule :mod:`plot_p_nom_max`. + +.. _attr: + +The ``{attr}`` wildcard +======================= + +The ``{attr}`` wildcard specifies which attribute is used for size +representations of network components on a map plot produced by the rule +:mod:`plot_network`. While it might be extended in the future, ``{attr}`` +currently only supports plotting of ``p_nom``. + +.. _ext: + +The ``{ext}`` wildcard +====================== + +The ``{ext}`` wildcard specifies the file type of the figures the +rule :mod:`plot_network` produce. +Typical examples are ``pdf`` and ``png``. The list of supported file +formats depends on the used backend. To query the supported file types on your system, issue: + +.. code:: python + + import matplotlib.pyplot as plt + plt.gcf().canvas.get_supported_filetypes() diff --git a/docs/workflow.rst b/docs/workflow.rst new file mode 100644 index 0000000..cb8d7d4 --- /dev/null +++ b/docs/workflow.rst @@ -0,0 +1,109 @@ +.. + SPDX-FileCopyrightText: 2021 The PyPSA-ZA authors + + SPDX-License-Identifier: CC-BY-4.0 + +.. _workflow: + +########################################## +Workflow +########################################## + +Overview +=========== +Overview of PyPSA-RSA model architecture + +.. image:: img/pypsa_rsa_model_architecture.png + :width: 80% + :align: center + +The PyPSA-RSA model consists of four main blocks, the pre-processing, scenario configuration, snakemake workflow +and post-processing. + +Pre-processing +======================================= + +This stage converts spatial and meteorological data into model-ready inputs. +The input data includes GIS data, this is included with the model and may be found in the +'data/bundle/' folder. The `pypsa-rsa/pre-processing` folder includes the jupyter notebook scripts to evaluate the +weather and outage profiles. Pre-processed weather file is provided in the data download under the installation page. + +Scenario Configuration +======================================= + +In order to make the PyPSA-RSA model accessible to a larger audience than just +developers and users who do not know Python, the input data into PyPSA-RSA is entered via Excel spreadsheets to +aid with scenario configuration. The spreadsheets are located in the folder `pypsa-rsa/scenarios/ME IRP 2024`, +this folder can be copied to house a users project. In the project folder the global scenario are +specified in the excel spreadsheet `scenarios_to_run.xlsx`. Each row of `scenarios_to_run.xlsx` is a scenario +to run. + + +`wildcard` +`run_scenario` True or False +`simulation_years` Years to simulate in the model separated by a comma (2025,2030) +`regions` spatial resolution, options are 1 for single node, 10 node, 34 Eskom supply regions +`resource_area` areas to build new RE capacity, options are redz, corridors or eia +`line_expansion` +`options` +`fixed_conventionl` Eskom, private IPP and RMIPPPP existing generators, characteristics for each scenario are specified in `sub_scenarios/fixed_technologies.xlsx` in the sheet conventional +`fixed_renewables` REIPPPP existing generators up to BW6 including existing distributed solar PV by province, characteristics for each scenario are specified in `sub_scenarios/fixed_technologies.xlsx` in the sheet renewables +`fixed_storage` BESIPPP existing and conracted capacity up to BW2, characteristics for each scenario are specified in `sub_scenarios/fixed_technologies.xlsx` in the sheet storage +`extendable_techs` +`extendable_max_total` scenario for maximum total installed capacity for renewable technologies and conventional ccgt, ocgt and diesel. Specified in sheet `max_total_installed` of `sub_scenarios/extendable_technologies.xlsx` +`extendable_min_total` scenario for minimum total installed capacity for renewable technologies and conventional ccgt, ocgt and diesel. Specified in sheet `min_total_installed` of `sub_scenarios/extendable_technologies.xlsx` +`extendable_max_annual` scenario for maximum annual build constraints for renewable technologies and conventional ccgt, ocgt and diesel. Specified in sheet `max_annual_installed` of `sub_scenarios/extendable_technologies.xlsx` +`extendable_min_annual` scenario for minimum annual build constraints for renewable technologies and conventional ccgt, ocgt and diesel. Specified in sheet `min_annual_installed` of `sub_scenarios/extendable_technologies.xlsx` +`operational_limits` includes the cpacity factor, output energy, output power and primary energy for all technologies. Specified in `operational_constraints` sheet of `sub_scenarios/operational_constraints.xlsx` +`outage_profiles` planned and unplanned outages per generator for existing and new conventional generators. specified in `outage_profiles` sheet of `sub_scenarios/plant_availability.xlsx` +`annual_availability` EAF per generator for all conventional generators. specified in sheet `annual_availability` sheet of `sub_scenarios/plant_availability.xlsx` +`extendable_parameters` +`co2_constraints` Carbon constraints specified in `sub_scenarios/carbon_constraints.xlsx` +`min_station_hourly` Hourly capacity factor for coal specified as a %, 0% corresponding to coal being off in a particular year. Specified in `min_station_hrly_cap_fact` sheet of `sub_scenarios/plant_availability.xlsx` +`load_trajectory` annual load specified in TWh/yr. specified in `sub_scenarios/annual_load.xlsx` +`reserve_margin` specified in `sub_scenarios/reserve_margin.xlsx` sheet `reserve_margin` +`capacity_credits` specified in `sub_scenarios/reserve_margin.xlsx` sheet `capacity_credits` + + + +The global scenario is defined as a +combination of different `sub_scenarios` for each category of parameters. The following can be specified in +`sub_scenarios` + + +Snakemake Workflow +======================================= + +The entire execution of the workflow relies on the automated workflow management tool +`Snakemake `_ that iterates the execution of so-called "rules" in an +organized way following the input-output chain. + +The ``Snakefile`` declares for each python script in the ``scripts`` directory a rule which describes which +files the scripts consume and produce (their corresponding input and output files). The ``snakemake`` tool +then runs the scripts in the correct order according to the rules' `input/output` dependencies. Moreover, it +is able to track, what parts of the workflow have to be regenerated, when a data file or a script is +modified/updated. For example, by executing the following snakemake routine: + +.. code:: bash + + .../pypsa-rsa % snakemake -j1 results/'ME IRP 2024'/network/capacity-CNS_G_RB_CB_EAF4.nc + +the following workflow is automatically executed. + +.. image:: img/workflow.png + :align: center + +The **blocks** represent the individual rules which are required to create the file +``results/'ME IRP 2024'/network/capacity-CNS_G_RB_CB_EAF4.nc``. Each rule requires scripts (e.g. Python) +to convert inputs to outputs. The **arrows** indicate the outputs from preceding rules which a particular +rule takes as input data. + +.. note:: + For reproducibility purposes, the image can be obtained through + ``snakemake -q --dag results/'ME IRP 2024'/network/capacity-CNS_G_RB_CB_EAF4.nc | sed -n '/^digraph /,$p' | dot -Tpng -o workflow.png`` + using `Graphviz `_ + +Post-Processing +======================================= + +execute the optimization for the desired problem, e.g. dispatch, planning, etc. diff --git a/environment.yaml b/environment.yaml deleted file mode 100644 index 05c50c5..0000000 --- a/environment.yaml +++ /dev/null @@ -1,38 +0,0 @@ -name: pypsa-za -channels: - - conda-forge - - bioconda -dependencies: - - python - - six - - snakemake - - numpy - - pyomo - - scipy - - pandas>=0.22.0 - - xlrd - - matplotlib - - seaborn - - networkx>=1.10 - - pyomo - - netcdf4 - - xarray - - # Include ipython so that one does not inadvertently drop out of the conda - # environment by calling ipython - - ipython - - # GIS dependencies have to come all from conda-forge - - conda-forge::libgdal - - conda-forge::fiona - - conda-forge::pyproj - - conda-forge::pyshp - - conda-forge::geopandas - - conda-forge::rasterstats - - conda-forge::rasterio - - conda-forge::shapely - - - pip: - - pypsa>=0.13 - - vresutils>=0.2.4 - - countrycode diff --git a/envs/environment.docs.yaml b/envs/environment.docs.yaml new file mode 100644 index 0000000..ac97da3 --- /dev/null +++ b/envs/environment.docs.yaml @@ -0,0 +1,70 @@ +# SPDX-FileCopyrightText: : 2017-2020 The PyPSA-Eur Authors, 2022 PyPSA-Earth Authors +# +# SPDX-License-Identifier: GPL-3.0-or-later + +name: pypsa-earth-docs +channels: +- conda-forge/label/shapely_dev +- conda-forge +- bioconda +- http://conda.anaconda.org/gurobi +dependencies: +- python>=3.8 +- pip +- mamba # esp for windows build + +- pypsa>=0.17.1 +- atlite>=0.2.4 +- dask<=2021.3.1 # until https://github.com/dask/dask/issues/7583 is solved + + # Dependencies of the workflow itself +- xlrd +- openpyxl +- pycountry +- seaborn +- snakemake-minimal +- memory_profiler +- yaml +- pytables +- lxml +- powerplantmatching>=0.4.8 +- numpy +- pandas +- geopandas + # - xarray # till the main is not in conda- xarray +- netcdf4 +- networkx +- scipy +- pydoe2 +- shapely>=1.8a1 +- progressbar2 +- pyomo +- matplotlib + + # Keep in conda environment when calling ipython +- ipython + + # GIS dependencies: +- cartopy +- descartes +- rasterio +- geoviews +- hvplot + + # PyPSA-Eur-Sec Dependencies +- geopy +- tqdm +- pytz +- country_converter + +- pip: + - git+https://github.com/pydata/xarray@main # till the main is not in conda + - git+https://github.com/pypsa/pypsa.git#egg=pypsa + - vresutils==0.3.1 + - tsam>=1.1.0 + - chaospy # lastest version only available on pip + - sphinx + - sphinx_rtd_theme + - nbsphinx + - nbsphinx_link + - gitpython diff --git a/envs/environment.fixed.yaml b/envs/environment.fixed.yaml new file mode 100644 index 0000000..b4d8b9c --- /dev/null +++ b/envs/environment.fixed.yaml @@ -0,0 +1,515 @@ +# SPDX-FileCopyrightText: PyPSA-Earth and PyPSA-Eur Authors +# +# SPDX-License-Identifier: CC0-1.0 + +name: pypsa-earth +channels: +- bioconda +- gurobi +- anaconda +- conda-forge +- defaults +dependencies: +- _libgcc_mutex=0.1 +- _openmp_mutex=4.5 +- affine=2.4.0 +- aiofiles=22.1.0 +- aiosqlite=0.19.0 +- alsa-lib=1.2.8 +- amply=0.1.5 +- anyio=3.6.2 +- appdirs=1.4.4 +- argon2-cffi=21.3.0 +- argon2-cffi-bindings=21.2.0 +- arrow-cpp=11.0.0 +- asttokens=2.2.1 +- atk-1.0=2.38.0 +- atlite=0.2.11 +- attr=2.5.1 +- attrs=23.1.0 +- aws-c-auth=0.6.26 +- aws-c-cal=0.5.26 +- aws-c-common=0.8.17 +- aws-c-compression=0.2.16 +- aws-c-event-stream=0.2.20 +- aws-c-http=0.7.7 +- aws-c-io=0.13.21 +- aws-c-mqtt=0.8.6 +- aws-c-s3=0.2.8 +- aws-c-sdkutils=0.1.9 +- aws-checksums=0.1.14 +- aws-crt-cpp=0.19.9 +- aws-sdk-cpp=1.10.57 +- babel=2.12.1 +- backcall=0.2.0 +- backports=1.0 +- backports.functools_lru_cache=1.6.4 +- beautifulsoup4=4.12.2 +- bleach=6.0.0 +- blosc=1.21.3 +- bokeh=2.4.3 +- boltons=23.0.0 +- boost-cpp=1.78.0 +- bottleneck=1.3.7 +- branca=0.6.0 +- brotli=1.0.9 +- brotli-bin=1.0.9 +- brotlipy=0.7.0 +- bzip2=1.0.8 +- c-ares=1.18.1 +- c-blosc2=2.8.0 +- ca-certificates=2023.01.10 +- cairo=1.16.0 +- cartopy=0.21.1 +- cdsapi=0.6.1 +- certifi=2022.12.7 +- cffi=1.15.1 +- cfgv=3.3.1 +- cfitsio=4.2.0 +- cftime=1.6.2 +- charset-normalizer=3.1.0 +- click=8.1.3 +- click-plugins=1.1.1 +- cligj=0.7.2 +- cloudpickle=2.2.1 +- coin-or-cbc=2.10.10 +- coin-or-cgl=0.60.7 +- coin-or-clp=1.17.8 +- coin-or-osi=0.108.8 +- coin-or-utils=2.11.9 +- coincbc=2.10.10 +- colorama=0.4.6 +- colorcet=3.0.1 +- comm=0.1.3 +- conda=23.3.1 +- conda-package-handling=2.0.2 +- conda-package-streaming=0.7.0 +- configargparse=1.5.3 +- connection_pool=0.0.3 +- contextily=1.3.0 +- country_converter=1.0.0 +- cryptography=40.0.2 +- curl=8.0.1 +- cycler=0.11.0 +- cytoolz=0.12.0 +- dask=2023.4.1 +- dask-core=2023.4.1 +- datashader=0.14.4 +- datashape=0.5.4 +- datrie=0.8.2 +- dbus=1.13.6 +- debugpy=1.6.7 +- decorator=5.1.1 +- defusedxml=0.7.1 +- deprecation=2.1.0 +- descartes=1.1.0 +- distlib=0.3.6 +- distributed=2023.4.1 +- docutils=0.19 +- dpath=2.1.5 +- earth-osm=0.1.0 +- entrypoints=0.4 +- entsoe-py=0.5.8 +- et_xmlfile=1.1.0 +- exceptiongroup=1.1.1 +- executing=1.2.0 +- expat=2.5.0 +- filelock=3.12.0 +- fiona=1.9.3 +- flit-core=3.8.0 +- fmt=9.1.0 +- folium=0.14.0 +- font-ttf-dejavu-sans-mono=2.37 +- font-ttf-inconsolata=3.000 +- font-ttf-source-code-pro=2.038 +- font-ttf-ubuntu=0.83 +- fontconfig=2.14.2 +- fonts-conda-ecosystem=1 +- fonts-conda-forge=1 +- fonttools=4.39.3 +- freetype=2.12.1 +- freexl=1.0.6 +- fribidi=1.0.10 +- fsspec=2023.4.0 +- future=0.18.3 +- gdal=3.6.4 +- gdk-pixbuf=2.42.10 +- geographiclib=1.52 +- geojson-rewind=1.0.2 +- geopandas=0.13.0 +- geopandas-base=0.13.0 +- geopy=2.3.0 +- geos=3.11.2 +- geotiff=1.7.1 +- geoviews=1.9.6 +- geoviews-core=1.9.6 +- gettext=0.21.1 +- gflags=2.2.2 +- giflib=5.2.1 +- gitdb=4.0.10 +- gitpython=3.1.31 +- glib=2.76.2 +- glib-tools=2.76.2 +- glog=0.6.0 +- glpk=5.0 +- gmp=6.2.1 +- graphite2=1.3.13 +- graphviz=8.0.5 +- gst-plugins-base=1.22.0 +- gstreamer=1.22.0 +- gtk2=2.24.33 +- gts=0.7.6 +- gurobi=10.0.1 +- harfbuzz=6.0.0 +- hdf4=4.2.15 +- hdf5=1.14.0 +- holoviews=1.15.4 +- humanfriendly=10.0 +- hvplot=0.8.3 +- icu=72.1 +- identify=2.5.24 +- idna=3.4 +- importlib-metadata=6.6.0 +- importlib_metadata=6.6.0 +- importlib_resources=5.12.0 +- iniconfig=2.0.0 +- ipopt=3.13.2 +- ipykernel=6.22.0 +- ipython=8.13.2 +- ipython_genutils=0.2.0 +- jedi=0.18.2 +- jinja2=3.1.2 +- joblib=1.2.0 +- json-c=0.16 +- json5=0.9.5 +- jsonpatch=1.32 +- jsonpointer=2.0 +- jsonschema=4.17.3 +- jupyter_client=8.2.0 +- jupyter_core=5.3.0 +- jupyter_events=0.6.3 +- jupyter_server=2.5.0 +- jupyter_server_fileid=0.9.0 +- jupyter_server_terminals=0.4.4 +- jupyter_server_ydoc=0.8.0 +- jupyter_ydoc=0.2.3 +- jupyterlab=3.6.3 +- jupyterlab_pygments=0.2.2 +- jupyterlab_server=2.22.1 +- kealib=1.5.0 +- keyutils=1.6.1 +- kiwisolver=1.4.4 +- krb5=1.20.1 +- lame=3.100 +- lcms2=2.15 +- ld_impl_linux-64=2.40 +- lerc=4.0.0 +- libabseil=20230125.0 +- libaec=1.0.6 +- libarchive=3.6.2 +- libarrow=11.0.0 +- libblas=3.9.0 +- libbrotlicommon=1.0.9 +- libbrotlidec=1.0.9 +- libbrotlienc=1.0.9 +- libcap=2.67 +- libcblas=3.9.0 +- libclang=16.0.3 +- libclang13=16.0.3 +- libcrc32c=1.1.2 +- libcups=2.3.3 +- libcurl=8.0.1 +- libdeflate=1.18 +- libedit=3.1.20191231 +- libev=4.33 +- libevent=2.1.10 +- libexpat=2.5.0 +- libffi=3.4.2 +- libflac=1.4.2 +- libgcc-ng=12.2.0 +- libgcrypt=1.10.1 +- libgd=2.3.3 +- libgdal=3.6.4 +- libgfortran-ng=12.2.0 +- libgfortran5=12.2.0 +- libglib=2.76.2 +- libgomp=12.2.0 +- libgoogle-cloud=2.8.0 +- libgpg-error=1.46 +- libgrpc=1.54.1 +- libiconv=1.17 +- libjpeg-turbo=2.1.5.1 +- libkml=1.3.0 +- liblapack=3.9.0 +- liblapacke=3.9.0 +- libllvm11=11.1.0 +- libllvm16=16.0.3 +- libmamba=1.4.2 +- libmambapy=1.4.2 +- libnetcdf=4.9.2 +- libnghttp2=1.52.0 +- libnsl=2.0.0 +- libnuma=2.0.16 +- libogg=1.3.4 +- libopenblas=0.3.21 +- libopus=1.3.1 +- libpng=1.6.39 +- libpq=15.2 +- libprotobuf=3.21.12 +- librsvg=2.56.0 +- librttopo=1.1.0 +- libsndfile=1.2.0 +- libsodium=1.0.18 +- libsolv=0.7.23 +- libspatialindex=1.9.3 +- libspatialite=5.0.1 +- libsqlite=3.40.0 +- libssh2=1.10.0 +- libstdcxx-ng=12.2.0 +- libsystemd0=253 +- libthrift=0.18.1 +- libtiff=4.5.0 +- libtool=2.4.7 +- libutf8proc=2.8.0 +- libuuid=2.38.1 +- libvorbis=1.3.7 +- libwebp=1.3.0 +- libwebp-base=1.3.0 +- libxcb=1.13 +- libxkbcommon=1.5.0 +- libxml2=2.10.4 +- libxslt=1.1.37 +- libzip=1.9.2 +- libzlib=1.2.13 +- linopy=0.1.5 +- llvmlite=0.39.1 +- locket=1.0.0 +- lxml=4.9.2 +- lz4=4.3.2 +- lz4-c=1.9.4 +- lzo=2.10 +- mamba=1.4.2 +- mapclassify=2.5.0 +- markdown=3.4.3 +- markupsafe=2.1.2 +- matplotlib=3.5.2 +- matplotlib-base=3.5.2 +- matplotlib-inline=0.1.6 +- memory_profiler=0.61.0 +- mercantile=1.2.1 +- metis=5.1.0 +- mistune=2.0.5 +- mpg123=1.31.3 +- msgpack-python=1.0.5 +- multipledispatch=0.6.0 +- munch=2.5.0 +- munkres=1.1.4 +- mysql-common=8.0.32 +- mysql-libs=8.0.32 +- nbclassic=1.0.0 +- nbclient=0.7.4 +- nbconvert-core=7.3.1 +- nbformat=5.8.0 +- ncurses=6.3 +- nest-asyncio=1.5.6 +- netcdf4=1.6.3 +- networkx=3.1 +- nodeenv=1.7.0 +- nomkl=1.0 +- notebook=6.5.4 +- notebook-shim=0.2.3 +- nspr=4.35 +- nss=3.89 +- numba=0.56.4 +- numexpr=2.8.4 +- numpy=1.23.5 +- openjdk=11.0.13 +- openjpeg=2.5.0 +- openpyxl=3.1.2 +- openssl=3.1.0 +- orc=1.8.3 +- packaging=23.1 +- pandas=2.0.1 +- pandocfilters=1.5.0 +- panel=0.14.4 +- pango=1.50.14 +- param=1.13.0 +- parquet-cpp=1.5.1 +- parso=0.8.3 +- partd=1.4.0 +- patsy=0.5.3 +- pcre2=10.40 +- pexpect=4.8.0 +- pickleshare=0.7.5 +- pillow=9.5.0 +- pip=23.1.2 +- pixman=0.40.0 +- pkgutil-resolve-name=1.3.10 +- plac=1.3.5 +- platformdirs=3.5.0 +- pluggy=1.0.0 +- ply=3.11 +- pooch=1.7.0 +- poppler=23.04.0 +- poppler-data=0.4.12 +- postgresql=15.2 +- powerplantmatching=0.5.6 +- pre-commit=3.3.1 +- progressbar2=4.2.0 +- proj=9.2.0 +- prometheus_client=0.16.0 +- prompt-toolkit=3.0.38 +- prompt_toolkit=3.0.38 +- protobuf=4.21.12 +- psutil=5.9.5 +- pthread-stubs=0.4 +- ptyprocess=0.7.0 +- pulp=2.7.0 +- pulseaudio-client=16.1 +- pure_eval=0.2.2 +- py-cpuinfo=9.0.0 +- pyarrow=11.0.0 +- pybind11-abi=4 +- pycosat=0.6.4 +- pycountry=22.3.5 +- pycparser=2.21 +- pyct=0.4.6 +- pyct-core=0.4.6 +- pydoe2=1.3.0 +- pygments=2.15.1 +- pyomo=6.5.0 +- pyopenssl=23.1.1 +- pyparsing=3.0.9 +- pyproj=3.5.0 +- pypsa=0.22.1 +- pyqt=5.15.7 +- pyqt5-sip=12.11.0 +- pyrsistent=0.19.3 +- pyshp=2.3.1 +- pysocks=1.7.1 +- pytables=3.8.0 +- pytest=7.3.1 +- python=3.10.10 +- python-dateutil=2.8.2 +- python-fastjsonschema=2.16.3 +- python-json-logger=2.0.7 +- python-tzdata=2023.3 +- python-utils=3.5.2 +- python_abi=3.10 +- pytz=2023.3 +- pyviz_comms=2.2.1 +- pyyaml=6.0 +- pyzmq=25.0.2 +- qt-main=5.15.8 +- rasterio=1.3.6 +- re2=2023.02.02 +- readline=8.2 +- reproc=14.2.4 +- reproc-cpp=14.2.4 +- requests=2.29.0 +- reretry=0.11.8 +- reverse-geocode=1.4.1 +- rfc3339-validator=0.1.4 +- rfc3986-validator=0.1.1 +- rioxarray=0.14.1 +- rtree=1.0.1 +- ruamel.yaml=0.17.24 +- ruamel.yaml.clib=0.2.7 +- s2n=1.3.42 +- scikit-learn=1.2.2 +- scipy=1.10.1 +- seaborn=0.12.2 +- seaborn-base=0.12.2 +- send2trash=1.8.2 +- setuptools=67.7.2 +- shapely=2.0.1 +- sip=6.7.9 +- six=1.16.0 +- smart_open=6.3.0 +- smmap=3.0.5 +- snakemake-minimal=7.25.3 +- snappy=1.1.10 +- sniffio=1.3.0 +- snuggs=1.4.7 +- sortedcontainers=2.4.0 +- soupsieve=2.3.2.post1 +- sqlite=3.40.0 +- stack_data=0.6.2 +- statsmodels=0.14.0 +- stopit=1.1.2 +- tabulate=0.9.0 +- tblib=1.7.0 +- terminado=0.17.1 +- threadpoolctl=3.1.0 +- throttler=1.2.1 +- tiledb=2.13.2 +- tinycss2=1.2.1 +- tk=8.6.12 +- toml=0.10.2 +- tomli=2.0.1 +- toolz=0.12.0 +- toposort=1.10 +- tornado=6.3 +- tqdm=4.65.0 +- traitlets=5.9.0 +- typing-extensions=4.5.0 +- typing_extensions=4.5.0 +- tzcode=2023c +- tzdata=2023c +- ucx=1.14.0 +- ukkonen=1.0.1 +- unicodedata2=15.0.0 +- unidecode=1.3.6 +- urllib3=1.26.15 +- virtualenv=20.23.0 +- wcwidth=0.2.6 +- webencodings=0.5.1 +- websocket-client=1.5.1 +- wheel=0.40.0 +- wrapt=1.15.0 +- xarray=2023.4.2 +- xcb-util=0.4.0 +- xcb-util-image=0.4.0 +- xcb-util-keysyms=0.4.0 +- xcb-util-renderutil=0.3.9 +- xcb-util-wm=0.4.1 +- xerces-c=3.2.4 +- xkeyboard-config=2.38 +- xlrd=2.0.1 +- xorg-kbproto=1.0.7 +- xorg-libice=1.0.10 +- xorg-libsm=1.2.3 +- xorg-libx11=1.8.4 +- xorg-libxau=1.0.9 +- xorg-libxdmcp=1.1.3 +- xorg-libxext=1.3.4 +- xorg-libxrender=0.9.10 +- xorg-renderproto=0.11.1 +- xorg-xextproto=7.3.0 +- xorg-xf86vidmodeproto=2.3.1 +- xorg-xproto=7.0.31 +- xyzservices=2023.2.0 +- xz=5.2.6 +- y-py=0.5.9 +- yaml=0.2.5 +- yaml-cpp=0.7.0 +- ypy-websocket=0.8.2 +- yte=1.5.1 +- zeromq=4.3.4 +- zict=3.0.0 +- zipp=3.15.0 +- zlib=1.2.13 +- zlib-ng=2.0.7 +- zstandard=0.19.0 +- zstd=1.5.2 +- pip: + - chaospy==4.3.12 + - countrycode==0.2 + - googledrivedownloader==0.4 + - highspy==1.5.0.dev0 + - install-jdk==1.0.4 + - numpoly==1.2.7 + - pybind11==2.10.4 + - tsam==2.2.2 + - vresutils==0.3.2.dev11+g150c1be +prefix: /home/max/anaconda3/envs/pypsa-earth diff --git a/envs/environment.yaml b/envs/environment.yaml new file mode 100755 index 0000000..c5da705 --- /dev/null +++ b/envs/environment.yaml @@ -0,0 +1,49 @@ +name: pypsa-rsa +channels: + - bioconda + - conda-forge + - defaults +dependencies: + - atlite[version='>=0.2.9'] + - cartopy + - country_converter + - dask + - descartes + - fiona + - geopandas[version='>=1'] + - geopy + - glpk + - graphviz + - ipython + - lxml + - matplotlib + - memory_profiler + - netcdf4 + - networkx + - numpy + - openpyxl!=3.1.1 + - pandas[version='>=2.1'] + - pip + - powerplantmatching[version='>=0.5.15'] + - pre-commit + - proj + - pycountry + - pypsa=0.30.0 + - pyscipopt + - pytables + - python[version='>=3.8'] + - pytz + - pyxlsb + - rasterio!=1.2.10 + - rioxarray + - scipy + - seaborn + - shapely[version='>=2.0'] + - snakemake-minimal[version='>=8.14'] + - tabula-py + - tqdm + - xarray[version='>=2023.11.0'] + - xlrd + - yaml + - ipykernel + - tsam \ No newline at end of file diff --git a/envs/gurobi.log b/envs/gurobi.log new file mode 100644 index 0000000..88a3cfc --- /dev/null +++ b/envs/gurobi.log @@ -0,0 +1,6 @@ + +Gurobi 11.0.2 (linux64, gurobi_cl) logging started Thu May 23 13:02:55 2024 + +Set parameter LogFile to value "gurobi.log" +Using license file /home/pklein/anaconda3/envs/pypsa-rsa/bin/../lib/gurobi.lic +Restricted license - for non-production use only - expires 2025-11-24 diff --git a/imgs/network_csir-moderate_redz_E_LC_p_nom_ext.png b/imgs/network_csir-moderate_redz_E_LC_p_nom_ext.png deleted file mode 100644 index ea9d54e..0000000 Binary files a/imgs/network_csir-moderate_redz_E_LC_p_nom_ext.png and /dev/null differ diff --git a/licenses/AGPL-3.0-or-later.txt b/licenses/AGPL-3.0-or-later.txt new file mode 100644 index 0000000..be3f7b2 --- /dev/null +++ b/licenses/AGPL-3.0-or-later.txt @@ -0,0 +1,661 @@ + GNU AFFERO GENERAL PUBLIC LICENSE + Version 3, 19 November 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU Affero General Public License is a free, copyleft license for +software and other kinds of works, specifically designed to ensure +cooperation with the community in the case of network server software. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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Affirmer understands and acknowledges that Creative Commons is not a + party to this document and has no duty or obligation with respect to + this CC0 or use of the Work. diff --git a/notebooks/readme b/notebooks/readme new file mode 100644 index 0000000..5022e02 --- /dev/null +++ b/notebooks/readme @@ -0,0 +1 @@ +Post processing notebooks are being updated and will be uploaded here once available. diff --git a/pre_processing/outages/outages.ipynb b/pre_processing/outages/outages.ipynb new file mode 100644 index 0000000..353c809 --- /dev/null +++ b/pre_processing/outages/outages.ipynb @@ -0,0 +1,204 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Overview\n", + "\n", + "PySA-ZA does not currently include a maintenance scheduling optimiser. Therefore planned and unplanned outages must be specified on either a monthly or weekly basis. This notebook is used to prepare the outage data that is used in the model_file." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd \n", + "import numpy as np\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# The Eskom data portal provides Total Planned (PCLF) and Unplanned Outages (UCLF + OCLF) for each hour for the installed Eskom fleet.\n", + "eskom_data = pd.read_csv(\"../../data/bundle/Eskom/ESK3060_cleaned.csv\",index_col=0, parse_dates=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Planned outages" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def avg_and_ffill(df, by):\n", + " df_avg = df.resample(by).mean()\n", + "\n", + " if by == 'M':\n", + " df_avg.index = df_avg.index.to_period('M').to_timestamp('M') - pd.offsets.MonthBegin(1)\n", + "\n", + " start_date = df.index.min().strftime('%Y-01-01')\n", + " end_date = df.index.max().strftime('%Y-12-31 23:00:00')\n", + " idx = pd.date_range(start=start_date, end=end_date, freq='H')\n", + " return df_avg.reindex(idx, method='ffill')\n", + "\n", + "def add_noise(df, std_dev, steps):\n", + " noise = pd.Series(index=df.index, dtype=float)\n", + " idxs = noise.iloc[::steps].index\n", + " noise.loc[idxs] = df.loc[idxs] + np.random.normal(loc=0, scale=std_dev, size=len(idxs))\n", + " return noise.interpolate()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "pclf = eskom_data.loc[\"2019\", \"Total PCLF\"]/eskom_data.loc[\"2019\", \"Installed Eskom Capacity\"]\n", + "pclf_avg_mntly = avg_and_ffill(pclf, \"M\")\n", + "pclf_avg_wkly = avg_and_ffill(pclf, \"W\")\n", + "\n", + "pclf_std_dev_mntly = (pclf- pclf_avg_mntly).std()\n", + "pclf_std_dev_wkly = (pclf- pclf_avg_wkly).std()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Unplanned outages" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "uoclf = eskom_data.loc[\"2019\", [\"Total UCLF\", \"Total OCLF\"]].sum(axis=1)/eskom_data.loc[\"2019\", \"Installed Eskom Capacity\"]\n", + "uoclf_avg_mntly = avg_and_ffill(uoclf, \"M\")\n", + "uoclf_avg_wkly = avg_and_ffill(uoclf, \"W\")\n", + "\n", + "ouclf_std_dev_mntly = (uoclf- uoclf.mean()).std()\n", + "ouclf_std_dev_wkly = (uoclf- uoclf.mean()).std()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.0, 0.4)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "uoclf.plot()\n", + "add_noise(pd.Series(uoclf.mean(), index = uoclf.index), 0.04, 48).plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.039130952410250636" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ouclf_std_dev_mntly\n", + "ouclf_std_dev_wkly " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pypsa-rsa", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.18" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/pre_processing/resource_processing/_helpers.py b/pre_processing/resource_processing/_helpers.py new file mode 100644 index 0000000..9c55742 --- /dev/null +++ b/pre_processing/resource_processing/_helpers.py @@ -0,0 +1,340 @@ +import atlite +import xarray as xr +import pandas as pd +import numpy as np +import geopandas as gpd +from geopy.distance import great_circle +from dask.distributed import Client, LocalCluster +import os + + +from shapely.ops import voronoi_diagram, nearest_points +from shapely.geometry import MultiPoint, Point +from scipy.interpolate import griddata +from IPython.display import clear_output + + +def load_supply_regions(filename): + print("Reading supply regions from file: ", filename) + regions={} + for r in [1, 10, 27, 34, 159]: + regions[r] = gpd.read_file(filename, layer = str(r)) + regions[r] = regions[r].to_crs("EPSG:4326") + + regions[10]["name"] = regions[10]["SupplyArea"] + regions[34]["name"] = regions[34]["LocalArea"] + regions[159]["name"] = regions[159]["MTS_1"] + + return regions + +def load_gis_data(data_bundle_path): + gis_data = {"supply_regions": {}} + + print("Loading Eskom Supply Regions from", f"{data_bundle_path}/rsa_supply_regions.gpkg") + for r in [1, 10, 27, 34, 159]: + gis_data["supply_regions"][r] = gpd.read_file(f"{data_bundle_path}/rsa_supply_regions.gpkg", layer = str(r)) + gis_data["supply_regions"][r] = gis_data["supply_regions"][r].to_crs("EPSG:4326") + + gis_data["supply_regions"][10]["name"] = gis_data["supply_regions"][10]["SupplyArea"] + gis_data["supply_regions"][34]["name"] = gis_data["supply_regions"][34]["LocalArea"] + gis_data["supply_regions"][159]["name"] = gis_data["supply_regions"][159]["MTS_1"] + + print("Loading EIA applications from", f"{data_bundle_path}/REEA_OR_2023_Q3.shp") + eia_regions = gpd.read_file(f"{data_bundle_path}/REEA_OR_2023_Q3.shp").to_crs("EPSG:4326") + eia_regions = eia_regions[eia_regions["TECHNOLOGY"].isin(["Wind", "Solar PV", "Wind and Solar PV"])] + gis_data["eia_regions"] = eia_regions + + print("Loading REDZs from", f"{data_bundle_path}/REDZs.shp") + redz1 = gpd.read_file(f"{data_bundle_path}/REDZs.shp").to_crs("EPSG:4326") + redz2 = gpd.read_file(f"{data_bundle_path}/PHASE 2_REDZs.shp").to_crs("EPSG:4326") + redz = pd.concat([redz1, redz2], ignore_index=True).to_crs("EPSG:4326") + gis_data["redz"] = redz + + print("Loading Power Corridors from", f"{data_bundle_path}/Power_corridors.shp") + corridors = gpd.read_file(f"{data_bundle_path}/Power_corridors.shp").to_crs("EPSG:4326") + gis_data["corridors"] = corridors + + redz_corridors_eia = pd.concat([redz, corridors, eia_regions], ignore_index=True).to_crs("EPSG:4326") + gis_data["redz_corridors_eia"] = redz_corridors_eia + + print("Loading SACAD from", f"{data_bundle_path}/SACAD_OR_2023_Q3.shp") + sacad = gpd.read_file(f"{data_bundle_path}/SACAD_OR_2023_Q3.shp") + sacad.to_crs("EPSG:4326", inplace=True) + + print("Loading SAPAD from", f"{data_bundle_path}/SAPAD_OR_2023_Q3.shp") + sapad = gpd.read_file(f"{data_bundle_path}/SAPAD_OR_2023_Q3.shp") + sapad.to_crs("EPSG:4326", inplace=True) + + print("Loading SKA exclusion from", f"{data_bundle_path}/SKA/SKA_exclusion.shp") + ska = gpd.read_file(f"{data_bundle_path}/SKA/SKA_exclusion.shp") + ska.to_crs("EPSG:4326", inplace=True) + + exclusion = pd.concat([sacad, sapad, ska], ignore_index=True) # combined sacad and sapad zones + gis_data["exclusion"] = exclusion.to_crs("EPSG:4326") + + gis_data["data_bundle_path"] = data_bundle_path + + return gis_data + + + +def set_availability(area, gis_data, cutout, supply_regions): + + data_bundle_path = gis_data["data_bundle_path"] + supply_regions = supply_regions.set_index("name").rename_axis("bus") + excluder = atlite.ExclusionContainer(crs=3035) + salandcover_classes = pd.read_csv(f"{data_bundle_path}/salandcover_classes.csv", index_col=0) + + excluder.add_raster( + f"{data_bundle_path}/SALandCover_OriginalUTM35North_2013_GTI_72Classes/sa_lcov_2013-14_gti_utm35n_vs22b.tif", + codes=salandcover_classes[salandcover_classes["include_pv"]==1].index.to_list(), + invert=True, + crs=32635, + ) + + excluder.add_geometry(supply_regions.geometry, invert=True) + if area != "all": + excluder.add_geometry(gis_data[area].geometry, invert=True) + + excluder.add_geometry(gis_data["exclusion"].geometry) + + cluster = LocalCluster(n_workers=10, threads_per_worker=1) + client = Client(cluster, asynchronous=True) + + return cutout.availabilitymatrix(supply_regions, excluder) + + +def reshape_xarray(da, cells): + data = da.values + data = data.reshape(len(da.time), len(cells.y.unique()), len(cells.x.unique())) + + return xr.DataArray( + data = data, + coords={"time": da.time, "lat": cells.y.unique(), "lon": cells.x.unique()}, + dims = ["time", "lat", "lon"], + ) + +def generate_pv_timeseries(cutout, type, dc_ac_ratio, module): + if type == "Fixed Tilt": + timeseries = cutout.pv( + panel="CSi", + orientation="latitude_optimal", + shapes=cutout.grid, + tracking=None, + per_unit=True, + ) + elif type == "Single Axis": + timeseries = cutout.pv( + panel="CSi", + orientation={"slope": 0, "azimuth": 0}, + shapes=cutout.grid, + tracking="horizontal", + per_unit=True, + ) + elif type == "Rooftop": + timeseries_east = cutout.pv( + panel="CSi", + orientation={"slope": 10, "azimuth": 15}, + shapes=cutout.grid, + tracking=None, + per_unit=True, + ) + + timeseries_west = cutout.pv( + panel="CSi", + orientation={"slope": 10, "azimuth": 345}, + shapes=cutout.grid, + tracking=None, + per_unit=True, + ) + timeseries = (timeseries_east + timeseries_west)/2 + timeseries = reshape_xarray((timeseries * dc_ac_ratio).clip(max=1), cutout.grid) + timeseries = timeseries.shift(time=2) if module == "sarah" else timeseries.shift(time=1) + return timeseries.fillna(0) + +def aggregate_intra_region(timeseries, availability, **kwargs): + + region_timeseries = timeseries.where(availability > kwargs["availability_threshold"], drop=True) + + if kwargs["scale_by_availability"] & (kwargs["aggregation_method"] != "mean"): + print("Scaling by availability is only support for method mean") + + if kwargs["aggregation_method"] == "mean": + + if kwargs["scale_by_availability"]: + weighted = region_timeseries * availability + weighted_sum = weighted.sum(dim=["lat", "lon"]) + scaling_sum = availability.sum(dim=["lat", "lon"]) + region_timeseries = weighted_sum / scaling_sum + else: + region_timeseries = region_timeseries.mean(dim=["lat", "lon"]) + + elif kwargs["aggregation_method"] == "quantile": + timeseries_mean = region_timeseries.mean(dim="time") + + if timeseries_mean.isnull().all(): + region_timeseries = np.zeros(region_timeseries.shape[0]) + else: + quantile = timeseries_mean.quantile(kwargs["quantile"]) + delta = np.abs(timeseries_mean - quantile) + lat_idx, lon_idx = np.unravel_index(delta.argmin(), delta.shape) + + region_timeseries = region_timeseries.sel(lat=timeseries_mean.lat[lat_idx], lon=timeseries_mean.lon[lon_idx]) + + return region_timeseries + + +def get_nsrdb_weather_file(path,timestep,year): + for file in os.listdir(path): + if file.endswith(f'{timestep}_{year}.csv'): + return file + + +def find_closest_wasa_file(lat_lon_pair, file_names): + def parse_lat_lon(file_name): + # Extracting the lat and lon from the file name + parts = file_name.replace('lat', '').replace('lon', '').replace('.csv', '').split('_') + return float(parts[0]), float(parts[1]) + + # Parse all lat-lon pairs from the file names + file_lat_lons = [parse_lat_lon(name) for name in file_names] + + # Find the file with the closest lat-lon pair + min_distance = float('inf') + closest_file = None + for file_name, file_lat_lon in zip(file_names, file_lat_lons): + distance = great_circle(lat_lon_pair, file_lat_lon).kilometers + if distance < min_distance: + min_distance = distance + closest_file = file_name + + return closest_file + + +def find_closest_nsrdb_file(lat_lon_pair, file_names): + + reippp_point = Point(lat_lon_pair)#gpd.GeoSeries([Point(lat_lon_pair)],crs="EPSG:4326").to_crs("EPSG:2049").iloc[0] + points_list = [(f.split("_")[1], f.split("_")[0]) for f in file_names] + points_gdf = gpd.GeoDataFrame(geometry=[Point(float(lon), float(lat)) for lat, lon in points_list], crs="EPSG:4326")#.to_crs("EPSG:2049") + + points_gdf["distance"] = points_gdf.distance(reippp_point) + #points_gdf.to_crs("EPSG:4326", inplace=True) + closest_point = points_gdf.loc[points_gdf["distance"].idxmin()] + + return closest_point.geometry.x, closest_point.geometry.y + + +def generate_wind_timeseries(cutout, turbine): + wind_pu = cutout.wind( + turbine=turbine, + shapes=cutout.grid, + smooth=False, + add_cutout_windspeed=True, + per_unit=True + ) + + return reshape_xarray(wind_pu, cutout.grid) + +def load_turbine_power_curves(path): + turbine_power_curves = pd.read_csv(path, index_col=0) + + return { + 1:{ + "hub_height": 80, + "V":turbine_power_curves.index.values, + "POW":turbine_power_curves["Class 1"].values, + "P":1, + }, + + 2:{ + "hub_height": 80, + "V":turbine_power_curves.index.values, + "POW":turbine_power_curves["Class 2"].values, + "P":1, + }, + + 3:{ + "hub_height": 101, + "V":turbine_power_curves.index.values, + "POW":turbine_power_curves["Class 3"].values, + "P":1, + }, + + 4:{ + "hub_height": 120, + "V":turbine_power_curves.index.values, + "POW":turbine_power_curves["Class 3"].values, + "P":1, + }, + + 5:{ + "hub_height": 140, + "V":turbine_power_curves.index.values, + "POW":turbine_power_curves["Class 3"].values, + "P":1, + }, + }, turbine_power_curves + +# Function to calculate the Voronoi polygons for a given supply region +def calculate_voronoi_for_supply_region(supply_regions, gdf_points, region_name): + # Filter the supply region + supply_region = supply_regions[supply_regions['name'] == region_name] + points_in_region = gdf_points[gdf_points.within(supply_region.geometry.unary_union)].reset_index(drop=True) + print(f'Number of points in {region_name}: {len(points_in_region)}') + + if points_in_region.empty: + print(f"No points in {region_name}. Skipping Voronoi calculation.") + + # Create Voronoi polygons and clip to supply region + multipoint = MultiPoint(points_in_region.geometry) + voronoi_polygons = voronoi_diagram(multipoint) + clipped_voronoi = [cell.intersection(supply_region.geometry.unary_union) for cell in voronoi_polygons.geoms if not cell.is_empty] + + cells = gpd.GeoDataFrame(geometry=clipped_voronoi) + cells["wasa_loc"] = points_in_region["cleaned_file_name"] + return cells + +def select_intra_region_voronoi(voronoi, intra_region): + if intra_region.crs != voronoi.crs: + intra_region = intra_region.to_crs(voronoi.crs) + return voronoi[voronoi.geometry.intersects(intra_region.geometry.unary_union)] + +def exclude_from_voronoi(voronoi, exclusion): + # Create a copy of the voronoi DataFrame to avoid modifying the original + voronoi_copy = voronoi.copy() + + if exclusion.crs != voronoi_copy.crs: + exclusion = exclusion.to_crs(voronoi_copy.crs) + + sindex = exclusion.sindex + + def difference(cell): + possible_matches_index = list(sindex.intersection(cell.geometry.bounds)) + possible_matches = exclusion.iloc[possible_matches_index] + precise_matches = possible_matches[possible_matches.intersects(cell.geometry)] + + cell_geometry = cell.geometry + for _, pm in precise_matches.iterrows(): + cell_geometry = cell_geometry.difference(pm.geometry) + + return cell_geometry + + # Apply the difference function and update the geometry + voronoi_copy['geometry'] = voronoi_copy.apply(difference, axis=1) + return voronoi_copy + +def calc_wasa_timeseries(cells, region_name, wasa_pu, method): + + cells = cells.to_crs("ESRI:54009") + cells = cells[cells["region_name"] == region_name] + cells["cell_area"] = cells.geometry.area + ws = wasa_pu[cells["wasa_loc"]] + + if method == "mean": + return ws.mean(axis=1).fillna(0) + elif method == "area_weighted": + cells.set_index("wasa_loc", inplace=True) + total_area = cells["cell_area"].sum() + return (ws.mul(cells["cell_area"], axis=1).sum(axis=1)/total_area).fillna(0) + else: + raise ValueError("Invalid method specified. Use mean or area_weighted.") diff --git a/pre_processing/resource_processing/convert_excel_to_netcdf.ipynb b/pre_processing/resource_processing/convert_excel_to_netcdf.ipynb new file mode 100644 index 0000000..7e24f34 --- /dev/null +++ b/pre_processing/resource_processing/convert_excel_to_netcdf.ipynb @@ -0,0 +1,521 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import xarray as xr" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# path to excel file with hourly renewable energy data\n", + "excel_file = \"demo_excel_to_netcdf.xlsx\"\n", + "xl_data = pd.read_excel(excel_file, sheet_name=None)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No existing NetCDF file found. Creating empty dataset.\n" + ] + } + ], + "source": [ + "# check if exists else create empty xarray dataset re_profiles = xr.open_dataset(\"renewable_profiles_updated.nc\")\n", + "try:\n", + " re_profiles = xr.open_dataarray(\"renewable_profiles_updated.nc\")\n", + "except:\n", + " print(\"No existing NetCDF file found. Creating empty dataset.\")\n", + " re_profiles = xr.Dataset()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "f\"{carrier}_fixed_{config['resource_profiles']['datasets'][carrier]}\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "re_profiles = xr.open_dataarray(\"renewable_profiles_updated.nc\", group=\"solar_pv_fixed_sarah\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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<xarray.DataArray (time: 52584, plant: 64, param: 2)>\n",
+       "[6730752 values with dtype=float64]\n",
+       "Coordinates:\n",
+       "  * time     (time) datetime64[ns] 2017-01-01 ... 2022-12-31T23:00:00\n",
+       "  * plant    (plant) <U15 'Aries' 'De_Aar' ... 'Doornhoek' 'Ngonyama'\n",
+       "  * param    (param) <U5 'power' 'pu'
" + ], + "text/plain": [ + "\n", + "[6730752 values with dtype=float64]\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 2017-01-01 ... 2022-12-31T23:00:00\n", + " * plant (plant) " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "eskom_data[\"PV\"].plot(color='k', lw=2, label='Eskom Data Portal')\n", + "#fixed_solar_pv[\"era5\"].sel(dict(param=\"power\")).sum(\"plant\").to_series().plot(color='b', label='era5')\n", + "fixed_solar_pv[\"sarah\"].sel(dict(param=\"power\")).sum(\"plant\").to_series().plot(color='r', ls='--', label='sarah')\n", + "#fixed_solar_pv[\"pysam\"].sel(dict(param=\"power\")).sum(\"plant\").to_series().plot(color='g', label='pysam')\n", + "plt.legend([\"Eskom data portal\", \"PyPSA-RSA modelling\"],loc='upper center', bbox_to_anchor=(0.5, -0.07), ncol=2)\n", + "plt.ylabel(\"REIPPP solar PV combined power output (MW)\")\n", + "plt.xlabel(\"\")\n", + "\n", + "plt.xlim(\"2019-06-01\", \"2019-06-15\")\n", + "plt.ylim(0,1200)\n", + "plt.savefig(\"solar_pv_comparison.png\", dpi=300)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "fixed_wind={}\n", + "fixed_wind[\"era5\"] = xr.open_dataarray('timeseries_data/fixed_wind_era5.nc')\n", + "fixed_wind[\"wasa\"] = xr.open_dataarray('timeseries_data/fixed_wind_wasa.nc')" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "eskom_data[\"Wind\"].plot(color='k', lw=2, label='Eskom Data Portal')\n", + "fixed_wind[\"era5\"].sel(dict(param=\"power\")).sum(\"plant\").to_series().plot(color='r', ls='--', label='era5')\n", + "\n", + "plt.legend([\"Eskom data portal\", \"PyPSA-RSA modelling\"],loc='upper center', bbox_to_anchor=(0.5, -0.07), ncol=2)\n", + "plt.ylabel(\"REIPPP wind combined power output (MW)\")\n", + "\n", + "plt.xlabel(\"\")\n", + "plt.xlim(\"2019-06-01\", \"2019-06-15\")\n", + "plt.ylim(0,2000)\n", + "plt.savefig(\"wind_comparison.png\", dpi=300)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Compare to CSIR/Fraunhofer regional data for 27 supply areas" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'generate_pv_timeseries' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[8], line 9\u001b[0m\n\u001b[1;32m 1\u001b[0m csir_data \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_excel(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m../../data/wind_solar_profiles.xlsx\u001b[39m\u001b[38;5;124m\"\u001b[39m, sheet_name\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m27_solar_pv_pu\u001b[39m\u001b[38;5;124m\"\u001b[39m, skiprows\u001b[38;5;241m=\u001b[39m[\u001b[38;5;241m1\u001b[39m], index_col\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, parse_dates\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m 8\u001b[0m availability_matrix \u001b[38;5;241m=\u001b[39m xr\u001b[38;5;241m.\u001b[39mopen_dataarray(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mavailability/availability_matrix_27.nc\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m----> 9\u001b[0m fixed_tilt_pu \u001b[38;5;241m=\u001b[39m \u001b[43mgenerate_pv_timeseries\u001b[49m(cutout, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFixed Tilt\u001b[39m\u001b[38;5;124m\"\u001b[39m, dc_ac_ratio \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1.05\u001b[39m)\n\u001b[1;32m 11\u001b[0m fixed_tilt_agg_pu \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(index\u001b[38;5;241m=\u001b[39mpd\u001b[38;5;241m.\u001b[39mdate_range(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m2012-01-01\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m2012-12-31 23:00\u001b[39m\u001b[38;5;124m\"\u001b[39m, freq\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mH\u001b[39m\u001b[38;5;124m\"\u001b[39m), columns \u001b[38;5;241m=\u001b[39m availability_matrix\u001b[38;5;241m.\u001b[39mcoords[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbus\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[1;32m 12\u001b[0m sat_agg_pu \u001b[38;5;241m=\u001b[39m fixed_tilt_pu\u001b[38;5;241m.\u001b[39mcopy()\n", + "\u001b[0;31mNameError\u001b[0m: name 'generate_pv_timeseries' is not defined" + ] + } + ], + "source": [ + "csir_data = pd.read_excel(\"../../data/wind_solar_profiles.xlsx\", sheet_name=\"27_solar_pv_pu\", skiprows=[1], index_col=0, parse_dates=True)\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "availability_matrix = xr.open_dataarray(\"availability/availability_matrix_27.nc\")\n", + "fixed_tilt_pu = prepare_pv_timeseries(cutout, \"Fixed Tilt\", dc_ac_ratio = 1.05)\n", + "\n", + "fixed_tilt_agg_pu = pd.DataFrame(index=pd.date_range(\"2012-01-01\", \"2012-12-31 23:00\", freq=\"H\"), columns = availability_matrix.coords[\"bus\"])\n", + "sat_agg_pu = fixed_tilt_pu.copy()\n", + "\n", + "for region in availability_matrix.coords[\"bus\"].values:\n", + " region_availability = availability_matrix.sel(area=\"all\", bus=region).rename({\"y\":\"lat\",\"x\":\"lon\"})\n", + " fixed_tilt_agg_pu[region] = aggregate_intra_region(fixed_tilt_pu, region_availability, **agg_params)\n", + "\n", + "plt_data = pd.DataFrame(index = fixed_tilt_agg_pu.mean().index, columns = [\"CSIR SWA\", \"PyPSA-RSA\"])\n", + "plt_data[\"PyPSA-RSA\"] = fixed_tilt_agg_pu.mean()\n", + "plt_data[\"CSIR SWA\"] = csir_data.mean().loc[plt_data.index]\n", + "\n", + "plt_data.plot(kind='bar')\n", + "\n", + "plt.title('Comparison of Mean Values')\n", + "plt.ylabel('Mean Value')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "wasa_pu = xr.open_dataarray(\"timeseries_data/extendable_wind_wasa_27.nc\")\n", + "era5_pu = xr.open_dataarray(\"timeseries_data/extendable_wind_era5_27.nc\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "csir_wind_data = pd.read_excel(\n", + " f'{data_bundle_path}/Supply area normalised power feed-in for Wind.xlsx',\n", + " sheet_name='Wind power profiles',\n", + " index_col=0,\n", + " skiprows=[1]\n", + ").resample('H').mean()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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s7BEnSZ6Hh0eyX2yNxVYffP/99xUeHq4tW7Y4LNAkxX5xr1Klijp27KhRo0Y5KeH/ZZk1a5bCwsJ08eJFtWvXTl27dk22h6Uz9erVSyEhIQoKCtIHH3yQ7MUxZ4s/GmTy5Mlq3769fQqPOFY414o/zUn//v31zjvvJLhwY7XPrsOHDyssLEzh4eE6deqU2rRpo06dOql27dqW7g0mxfb63L59uyU6RkhS3rx59cUXX+i5555zdpT7ij9M9PHHH9f69esTnHdZYVoBDw8PnTlzRjlz5ky0/cyZM8qXL59lPrs8PDx0+vTpJHvPpnXe/0zhKzk3bty47+ppSMhVTnBTIjIyUhUqVLDMG8X93L17V1FRUZZYYrtWrVopGj64evXqNEqUcv+cM2nw4MGWmTPp0KFDunz5sipWrGjf9vPPP2vUqFG6fv26mjVrpoEDBzox4f1dvnxZX3/9tUJDQ+09FXbt2uXsWLpx44beeecdLVy4UHfv3lXdunU1ceJES/akSmrFsX+y2WyWmIsoa9asDlkvXbokf3//BPP5XLhwIa2jJXDy5ElVqlRJPj4+6t27t0qUKCEpdu63KVOm6Pbt29q2bZulLoxx8e7hWrt2bYr2CwwMfMRJUubq1auqUqWKTp48qQ4dOth7hO/fv19fffWVHnvsMW3ZssXpvSrSpUunfPny6ZVXXtHzzz8vb2/vRPcrW7ZsGidLnIeHh3x9fe3vAUn57bff0ihR0lzpXCslFzys8tmVmHv37mn58uUKCQnR4sWLlSlTJkvP/ylZ73vM+fPnLdNz+n7iXwiJP2zUShdCPDw81L179yTrFjdu3ND06dMtkVWKzTtq1ChlzJgx0farV69qyJAhFL7Swq1btzR58mR99NFHlpnPQ4qdKHr9+vX2eRC6d++u4OBge3X37NmzCggI0I0bN5wZ061Y7QPjflwtr9VYfc6k5s2bq3Tp0ho5cqSk2KFXpUqVUo0aNVSiRAmFhoZq5MiR6tOnj3ODptDOnTsVGhpqicUu3nnnHU2ZMkXt2rWTr6+vZs+erVq1amnevHnOjubSXKmXqhT7N9WrVy+tWLHCPqTNZrOpXr16+uyzzxwmErc6Lt49Gn///XeSV9Wd4eLFi3rvvfc0d+5c+4I8WbJkUatWrTR69GhLzJ31z0J33BfH+F8zrPIFUpKGDx+eov2GDh36iJPAqv7++299+eWX951/2dms9r2gcePGmj17tr1HYnBwsHr37m0f7nz+/HnVqFFDe/fudWLKWK50ISQlBXDJOkNjU3IBV0q7aUjcvvB1584dDR8+XCtWrJC3t7feffddNWvWTGFhYRo0aJBsNptee+01vffee86Oahe/W6C/v7927txpn3PgzJkzyps3r8vNW2VlVvvAuB8r5V21apWqV68uPz8/Z0e5r/hzJg0aNMiSPX3y58+vuXPnqmrVqpKkUaNGaf78+dq5c6ckKSQkRJMmTbLft7oTJ05o6NChCg0NdXYUFS5cWMHBwfbhrFu2bFH16tV169Ytyw9lsLJffvlF1apVs0SPydS4ePGivRdVkSJFLFE8SCkrXrzr0qXLffex2WyWGUYanzFGP/30k2bMmKElS5ZYak6yOMYY+yJHOXPmtNRcRH/++WeK9otbpRQp98QTT2jr1q0u0Yumdu3aWrBggSXndHNXVvpeIKXsu6xVhuTNmjVLL7/8sktOL4LUca0z1AcwbNgwTZ48WfXq1dOvv/6ql156SV26dNGaNWs0ZswYtW3bNsmu2FaRWG3SCic6rn6Ci4ejfv36SpcunSpXrqygoCAFBQWpWrVqlpzg/plnnpGfn5969uypgIAAffPNN4nu5+x5J86dO+cw8XZERITDPAm1atXS22+/7YxoD+TChQsKDw+3ROHrxIkTqlGjhv1+5cqV5eXlpb/++suSw8aio6M1fvx4zZ49W3/88YdsNpuKFi2qtm3b6s0337TM51dQUJCioqJcbhU0m81mH+YQf1imFaTk4t2bb77p7Jh2ya3kHBMTo1WrVun27duWOy84cuSIQkNDFR4ermvXrqlJkyb69ttvnR0rUTabLcHf2a1bt/TZZ5+pX79+TkoVi4LWo3Ps2DFLFAlSYs2aNQ6rkFpZ/GH6SbHCMH1XZuV+Np07d1bDhg1d7vwlMYcPH9b//vc/Swx5tiK3L3zNnTtXM2fOVPPmzRUZGany5cvrypUr2rNnj8tdmbYaVzrBvV8X5birp0i9EydOaPXq1Vq7dq2++uorjRw5Ur6+vqpataq9EFalShVL/L0VKFBANptN33//fZL72Gw2pxe+smXLpqioKOXPn1/37t3Ttm3b9NZbb9nb79y5Y+mTCCuLiYlJUJT18vKyzAq0/3Tz5k3Vq1dPGzduVN26dVWzZk0ZY7R//371799fixYt0ooVK5JcmS4tudrv47Fjx9S7d28tX77cYahjw4YN9dlnnyW7mEBacrWLd0m9t/7www8aOHCgfHx8LLOIzK1btzR//nzNmDFDmzZtUr169RQVFaWdO3cmuXqiM507d06bN2+Wt7e36tSpI09PT929e1dTpkzRmDFjFB0d7fTCV5ytW7cmWqyvVKmSs6M5KF++fIqKHlaY4wuPxoQJE5wdIUUWLVqUbLsrrVhtNa52/pKca9eupXjoZlqYNWtWivbr2LHjI04Sy/nfRB+xEydO6Omnn5YkPfXUU0qXLp369+9viS/hSbHZbAk+iK3Qwys+VzrB3bFjx333scpKKJLuOwn4gQMH0ijJ/T322GPq0KGDOnToICn2by4iIkJr1qxRaGiohg4dqvTp0+vq1atOThr7ZdcVBAYGauTIkZoyZYrmzZune/fuKSgoyN6+d+9ey3wxdzXGGHXq1MmhS/utW7fUo0cPh3neFixY4Ix4DsaMGaMTJ05ox44dCSaDjoyM1PPPP29fMtwKrPg5lZgTJ07omWeekbe3t0aOHKmSJUvKGKN9+/Zp6tSpqlq1qrZu3erQ69JZXP3i3a+//qr+/ftrx44deu211zRgwABlzZrV2bHUq1cvffvttypevLjat2+v7777TtmzZ5e3t7cle/5t2LBBTZo00eXLl2Wz2VSpUiWFhYWpWbNmunfvngYPHpyiXvhp4d1339XHH3+sjBkz6oknnpAxRmvWrNGnn36qfv36aezYsc6OaNesWTNnR0iVvXv33ndYs1UWDrh69ep9L8pYYZU8q8w7eT+u9rvqKt9l41g5mytLrke6zWbT9evXFR0dnWaFL7ef4yv+GONMmTJp165dllxiPY6Hh4dKly5tP6ndtWuXSpQoYe+lEB0drT179liuy7NVT3BdUdzQm6SGuVpphZHEHD58WKtXr9aaNWv0448/KiYmRteuXXN2LJdx9OhR1atXT0ePHpWHh4cmTpyonj172tubNWumQoUKafz48U5MmXJWmnvClVajLVasmMaMGaMWLVok2j5v3jwNGjRIf/zxRxonS+h+Kw3FGTduXBolSlqXLl10+PBhLV++PMEXs5s3b6phw4YqUqSIJXor+/j46PDhw/YinK+vrzZt2qRy5co5N9h97NmzRwMGDNCyZcvUsWNHDR8+3BKFxDheXl7q37+/BgwY4LASore3tyIjI/Xkk086MV1CderUUc6cOTV48GCFhoZqwoQJCggI0LBhw9ShQwfLfGkLDw9Xjx499NFHH+nVV1+190a8e/eupk6dqv79+2vatGlp9iXHnbjSeWH8VfLis1LW+4mKilJwcLA+++wzZ0dxKR4eHmrUqJH9IuPixYtVu3Zt+wXG27dva9myZZb4HYifNSlWuCB6P1Y6305OVFSUhg8frtDQUNWuXVvLli1Lk+e1/uXCh2DIkCH2k/E7d+5o1KhR9lUm4ljhZDxO/NVjXnjhhQT7JPVFyBnin+B+++23ljrBdUWu1mX5yJEjWrNmjSIiIhQREaGrV6+qWrVqqlmzpnr37m3vdelsrrLKTKFChbRv3z7t3btXOXPmVL58+Rzahw8fbqn5qF588cVk2+NWILMCKxS0Uur48eOqXLlyku3PPPOMjh8/noaJkrd79+5k5/azypfzZcuWae7cuYn2RvDz89PIkSPtix842927dx2Oqbe3d4LzFys5ceKEhgwZoq+++kpNmzbVrl27VLJkSWfHSmDWrFkKCwtT3rx51aRJE3Xo0EENGzZ0dqwkRUZGau3atSpVqpRGjRqlTz/9VGPHjtVLL73k7GgOJk+erNGjR+u1115z2O7t7a033nhD0dHR+uyzzyxT+Dp79myy8/pER0frt99+S/Z9OC1t3rzZUiuNJmf+/Pkus1jI3r17FRERIW9vb7Vq1UpZsmTRuXPnFBwcrM8//9zSnSXinDlzRtOmTbPMSJv4Penat2+fYB+rvA9IsR1jXGGRLld39epVjR07Vp9++qlKlSql5cuXO4xoedTcvsdXSpb9tNlsTAL3AOKf4I4ePdqSJ7hS7Bfv2bNn23vNtGvXTjdv3rS3e3p6avr06ZZZgWbEiBHq16+fSyxRX7BgQV25ckXPPvusatasqcDAQFWsWNGSK+R5eno6TMBt5VVmkrN7926FhIRYZm4KV+pFlZx79+5pyZIlCgkJ0cKFC50dR7ly5dJPP/2kihUrJtq+detWNWnSRGfPnk3jZAnF711tZfF7UcV38uRJFS5c2BIr+sXvSTd58mS1b9/eshfv0qdPL5vNptdff13VqlVLcr/nn38+DVMl7dixYwoLC9PMmTN148YNXbhwQXPmzFHLli2dHc1BYqMXduzYoSJFijg5maMMGTJo9+7d9s/U+I4cOaIyZcro+vXraZwscfHPCUqWLKnly5erQIECkqx1TuBK77GulPXHH39UixYtdPfuXUmxq2dOnz5drVq1UunSpfX222+radOmTk55f67S08eKXOn39X7zEt64cUMHDx603O/BnTt39Nlnn2n06NHKkSOHRo0a5ZTPWbfv8bVmzRpnR3BbxYsXl81m09tvv61q1arp4MGD9mXh/8kKJ7jTp09XZGSkvfC1aNEiNWjQwD7EYePGjZowYYJl5soZPny4evTo4RKFr7gvhzabTZ6envL09LTkHClSwgksXanuf+XKFc2ePVshISHatm2bZebxkKxf0LqfgwcP2ld0u3jxoho0aODsSJJiV0ocPXq0vvvuu0TbP/jgA9WqVSttQyXBKr25UiJfvnzas2dPkoWv33//XXnz5k3jVImrWbOmw5yO1apV05EjRxz2sdKxv3XrliTpww8/THIfKw1xCggI0PDhwzVs2DAtX75coaGhat++vfr06aMXX3xREydOdHZESbHHLG7OpLhhYjdu3NCVK1cc9nP2nEmenp7JruZ39+5dS10Ui38OcPLkyQQLnbjSeQJSLzg4WD169FBwcLC++OIL9evXTz169NB3331nqbl/3c2+ffvUpEmTBJ9nzmClz9D7cbW53owxmjVrloYMGaLo6GiNHj1aXbt2dd7ngIHlHDp0yHTu3Nl+P3/+/CZr1qz2W44cOcz+/fudmDCWzWa7783Dw8PZMY0xxlSuXNksWbLEfj9jxozm8OHD9vsLFiww5cqVc0a0RNlsNnPmzBlnx0ixffv2malTp5pWrVqZ3Llzm8yZM5smTZqYjz76yGzZssXExMQ4O6IxJuFxjf97cPr0acv8zsZZs2aN6dChg0mfPr3x8PAw/fv3NwcPHnR2LJd348YNM3PmTFOjRg3j7e1tPDw8zKeffmquXr3q7Gh2e/bsMRkzZjRVqlQxc+bMMZGRkSYyMtLMnj3bVK5c2WTMmNH8/vvvzo5pjHGt96w333zTlClTxpw9ezZB25kzZ0zZsmXNm2++mfbBYAnnzp0z48ePN2XLlnV2FLu486m4W1L3na1WrVpm8ODBSbYPGjTIBAYGpl2g+3Clc4JatWqZixcvJtn+119/md69e6ddoGQEBASYc+fOOTtGimTOnNkcOHDAGGPM3bt3jaenp1m6dKmTU6Xezp07LfO7mhJWyutK5y+upkyZMiZ9+vSmf//+Jioqyly+fDnRW1px+x5fSa1ykzlzZvtqPhkzZkzjVMmbNGmS8uTJY79/8eJFDRkyxN4Fc86cORo/frw+//xzZ0WUFDssyFUcPnzYYUhA8eLFHeZNeeqppxLtreZMrnQFokSJEipRooR69OghKfZKTtzKjiNHjpTNZrPEPE+usspMVFSUwsLCFBoaquvXr6tNmzZau3atqlatqo4dO1pueEtQUFCixzHufbZ3796WmZNsy5YtmjFjhubMmaNixYqpffv2mjdvnh5//HHVrVvXUp8HTz75pFauXKmuXbuqdevW9mNsjFGJEiW0fPlylSpVyskpY4WFhVl67ql/Gjp0qJYuXarChQurffv2KlGihKTYeV6++eYb5cmTxzLzpLibmJgYLV682NJXrbNnz64+ffqoT58+zo5iFxER4ewIKfL222+rWbNmun37tt5++23lzp1bknT69Gl98sknmjBhQpIrgiN5ERER2rt3r77++mvLz0XlSvPUXrlyxT7NiZeXl/z8/FSsWDHnhkKaioiIcJn56FxtXsLff/9dUmwv8I8++ihBu0njhS7cvvB18eLFRLcfPXpUX3/9tUaOHKl169YlOR+BM6xatUqTJk1y2NaiRQt7xoCAAHXr1s0Z0VLFSie4N27ccOh+v23bNof269evW66QV6dOnfsuV//bb7+lUZqUO3PmjHbt2qVdu3YpMjJSV69eve9KKWnFGKNOnTrZ89y6dUs9evRwWGXGCgoVKqSXXnpJkydPVr169Sw7dDROUivMXbp0SUuXLtVnn32m9evXW2IlumrVqun111/Xli1bVLx4cWfHua9nnnlGe/bs0Y4dO+zF+WLFilniWP7T5s2b1aJFC/vf1pdffqnmzZvbC4mXLl1S27ZttXTpUmfGlCRlzZpVmzdv1sCBA/Xtt9/ai/JZsmRR27ZtFRwcbJmT4CeffFLr16+35+nevbuCg4PtE1yfPXtWAQEBunHjhjNj3tf+/fsdhhMnNxwurRw8eFC7du1ShQoVVKhQIS1ZskRjx47VzZs31axZMw0cONAyF0YCAwOdHSFFmjZtqvHjx6tfv3765JNP7MXwy5cvy9PTUx999JGl5ktKbAjptWvX7ENI4w8ldab4c1F9+OGHDnNRzZs3zzLHtlChQsleDOvXr58qVarkhGSJ27t3r06fPi0p9jzxwIEDCeahc/b0En379k22/e+//06jJO4nMjJSkZGR993vjTfeSIM0ycubN2+y8xKeP39eVatWtcx0Ala7aOP2k9sn5+bNm+rYsaNsNpvmzp3r7Dh2mTJl0u7duxUQECBJeuuttzR48GBlz55dkvTnn3+qRIkSDpOzW4kVT3BLly6td999N8kVRMLCwvTxxx9rz549aZwscR4eHnr77bfv2/sk/gqgznD27FmtWbPGvqrjH3/8IW9vb1WuXFlBQUEKCgpS1apVLVH8cpVJ2IsXL647d+6obdu26tChg71Hire3tyIjI/Xkk086NV9q9e7dW0ePHrVE0aN+/fratGmTnnvuOXXo0EENGjSQzWZz2WNrFa66cIQxxv6FIWfOnJYpdMSJP+luYsc1b968lrtwI8VeUJozZ45CQkK0adMmBQUFqXXr1mrWrJly5Mjh1Gzff/+9WrVqJQ8PD9lsNn3xxRfq3r27goKC5OnpqeXLl2vUqFHq37+/U3PGSWr11syZM1uqp+Xdu3fl7e2tkydPat68eQ7F+hYtWih//vz6/fffVbp0aScnjRX37x8nrvgV/74V3reqVq2qypUrO8xFVbRoUU2fPt1yc1F9+umniW6/dOmStm7dquXLl2vFihVpuppbUuJ+BxL7Ohy33Qq/Ayk9VlYrNCTFSpPxp6SnpM1ms8R8ZIktdBIZGekS5wRJ+fvvv9Nutdo0G1RpUVu3bjX58+d3dgwH/v7+ZvPmzUm2b9682WTKlCkNE93ftWvXTEhIiKlWrZrx8PAwderUMdOnTzd///23s6MZY4wZPHiwyZ8/v4mKikrQ9tdff5n8+fObQYMGOSFZ4lxpvLnNZjPp0qUz1apVM4MGDTIrV640N27ccHYsl7d+/XrTuXNnkzFjRlOhQgUzbtw44+XlZfbu3evsaKkWGRlp8uTJ4+wYdsePHzfDhw83AQEBJnfu3OaNN96w7LG9du2aef/9902pUqVMhgwZTMaMGU2ZMmXM8OHDzfXr150dz86V5sq5n5s3b5qPPvrI2TGMMa55XDds2GC6dOliMmbMaMqXL28+/vhj4+npafbs2ePsaHYVK1Y0AwcONPfu3TOhoaHGz8/PjB8/3t4+bdo0U6JECecFjCf+nF7/vOXOndt88sknzo5ojDGmRYsW5t69e0m279692+TKlSsNEyVvzZo1KbpZgbvMRWWMMSNGjDA1a9Z0dgxjjDHHjh1L0Q2pkyVLFof5qePfMmXKZLnPLlfgiucEibl3755ZsmSJad68uUmXLl2aPa/bD3W8n2zZslli7qF/KlWqlFatWpXk+Nzly5db5mrZxo0bNWPGDM2dO1dFixZVu3bttHnzZk2cONFSPSfeffddfffddypWrJg6dOigYsWKyWazaf/+/frqq6/02GOPWebKrmTNeaeS8tNPP+nZZ5+1DxfEw1G9enVVr15dEydO1OzZsxUaGqqYmBj16tVLbdu2VbNmzdLuCsm/5OfnZ1/tzQry58+vIUOGaMiQIVq5cqVCQ0Pl5eWlF154QS1btlTLli1VoUIFZ8fUnTt3FBgYqN9//12NGjXSc889J2OM9u3bp+DgYP3000/65Zdf5O3t7eyoLufcuXPavHmzvL29VadOHXl6euru3buaMmWKxowZo+joaPXr18/ZMV3Ok08+qRs3bqht27bavHmz/TxgwIABTk7m6MCBA5ozZ45sNpteeeUV/e9//1PdunXt7fXr17fUHF87duxIdPulS5e0ZcsWBQcHK3369PZ5Np1l8+bNevXVV/XFF18kaNuzZ4/q1Kljqd5Jf/75p15++WVL9Ei/H3eai6ply5ZJ9gpLawULFnR2BLc0YcIEZ0eABR05csQ+KuzatWtq0qSJvv322zR7/v984WvDhg0qXLiws2M46Ny5s/r06aOnnnpKTZo0cWhbvHixPvjgA0u8objKCa4U2xX0119/1XvvvafZs2cnmNNl9OjRypQpk3ND/oNxoRHIDRo0sP//rl279Mcff8hms6lo0aJOnxMhvqioKH322WcKDg6WJD377LMOc+N4enpq4cKFeuyxx5wVMYGMGTPqf//7n/73v/9p7969CgkJ0eDBg9WrVy/7XB9Wt2LFCsueoNerV0/16tXTxYsX9dVXXyk0NFRjx461RPf7qVOn6uTJk4qMjEwwH9n+/ftVq1Ytff7553r99dedlNA1bdiwQU2aNNHly5dls9lUqVIlhYWFqVmzZrp3754GDx6c5MI4ac1VFuSIc+jQIbVu3VpBQUEqWbKks+Mk6fr16/bPfA8PD/n5+Sl9+vT2dj8/P8vM+SjFLsCTlMDAQOXNm1cff/yx0wtfK1asUM2aNZUtWzZ98MEH9u379u1TnTp1VL169TT9knM/nTt3VsOGDZOdLNpKXGEuKle1detWzZ492+Ectm3btpaZi+x+c3zFGTdu3CNOkjKvvPKKsyOk2KxZs1K0X1LT5aQlV5qXMM6tW7c0f/58zZgxQ5s2bVK9evUUFRWlnTt3pnlHHref42vXrl2Jbr98+bK2bt2q0aNHa9SoUU4/WYivTZs2mjNnjkqUKKHixYvbeycdOHBALVq0sMScZOnSpVPr1q3VoUMH1a1b134ybvW5cozF53SRYq9CFihQIEG26Oho3bp1y1Irz0mxK+V17dpVe/futRftbDabSpUqpZCQED399NNOThjr/fff14ULFzR58mRJsQXRLl262CeOjuu99vHHHzsz5n3dvXtXixcv1osvvujsKJKkRYsWJbo97n02JCREM2fO1EsvvZTGyR7Mb7/9ZokeX4GBgWrVqpV69+6daPukSZM0f/58rV27No2TJeTh4aHu3bvbiweTJ09W+/bt7fMP3bhxQ9OnT7dEQbFOnTrKmTOnBg8erNDQUE2YMEEBAQEaNmyYOnToYKnPBA8PD5UuXdq+0MmuXbtUokQJ+6rE0dHR2rNnjyWOqySdOnVKM2fOVFhYmG7evKk2bdqoXbt2qlKlinbu3GmZ8wJPT0+dPn3a3mvW399fkZGR9rlerDonXVKOHDmicuXKWeJLz9atW1WnTh29//77euedd7R//34FBQWpcuXKWrBggTw9PZ0d0S7+fDlW5ipzUaXEyJEj9fPPP2vNmjXOjiIpdlTIxx9/rIwZM+qJJ56QMUZHjhzRjRs31K9fP40dO9bZEVM0x5fNZtPq1avTIM2/FxUVpeDgYH322WfOjiIPDw9lzJhRXl5eSXY8sNlsunDhQhonS8iV5iWUpF69eunbb79V8eLF1b59e7Vu3VrZs2d3Wq3A7QtfyX1Q5MyZU/369dM777zjhGT39+233+rbb7/VH3/8IUkqWrSo2rRpo9atWzs5WSxXOcF1RUuXLtX58+fVoUMH+7bg4GCNHDlS0dHRql27tubMmaOsWbM6MWWsvXv3qkqVKipZsqTeeustlSxZ0j4ca/z48Tpw4IA2bdpkid+HcuXK6aOPPlK9evUkJZwUcvny5erbt69lFjmYN29eolcgW7Zs6exoDpJadTJTpkwqUaKE+vXrZ5mi18GDBzVkyBBNmzZN/v7+Dm2XL19Wz549NWrUKEus9JszZ06tWbNGpUqVSrT9999/V1BQkCVWc6pVq1aKCkZWmHg3R44cWrt2rUqVKqUbN24oU6ZM+vbbby3zO/pPw4cPT9F+VljoJL7Vq1crNDRUCxYs0K1bt9SvXz9169bNEr0/PTw8lDlzZvvv7KVLl+Tv729/LzPG6MqVK5b58nA/27dvV/PmzZOcBD+trV69Wk2bNtW7776r6dOnq0KFClqwYIHlhmV7eHjozJkzLjFtwJ9//pmi/awwdG/ixImJbo+7GPbTTz9p+fLlql27dhonSyg8PFw9evTQRx99pFdffdX+O3r37l1NnTpV/fv317Rp0yzR28fV7N27VxEREfL29larVq2UJUsWnTt3TsHBwfr8889VqFAh7d2719kxVapUKZ05c0bt27dXly5dLN1rMqUXOq2yErCXl5f69++vAQMGOIysovD1iCT1QZE5c2b7WHn8e1Y+wZVir5Tc70uZzWbTzz//nEaJkle7dm21aNHC3tNjw4YNqlGjhkaMGKGSJUtq0KBBatSokSW6NL/00kuKiYnRd999l+AYG2P04osvytvb2xK9FLNkyaLffvvNXtR48cUXNXXqVOXOnVuSdOzYMfsQXme6d++e2rRpo3nz5qlYsWIqUaKEjDHav3+/Dh48qFatWmn27NmW6pniKrp3764sWbLoww8/TLS9f//+unLliqZOnZrGyRLy9vbWiRMnlCdPnkTbo6KiVLBgQUusnOtKElsVaceOHSpSpIiTk7mny5cv6+uvv1ZoaKh+++03lS5dOsne+GklPDw8Rfu5wnCdO3fuqEOHDjLGWOJzNs7ChQv10ksvqX79+lq4cKHlil5S7HtBo0aN7jvH14IFC9IokXtIapU8f39/lShRQn379lWVKlXSOFXiKleurDZt2uitt95KtH3cuHH69ttvtWXLljRO5qhPnz7q1q2bZeZ4vp8ff/xRLVq0sE/J8cQTT2j69Olq1aqVSpcurbfffltNmzZ1csr/s3nzZoWGhmrOnDkqUqSIunbtqnbt2iW4QOpsaboC4kPwzTffKCwsTBs3blSTJk3UoUMHNWzYUH5+fhS+ECulXdWt9scoWfMEV1KSH2hS7PGePXu2bt++bZmru7ly5dLy5ctVvnx5SbFj+/fu3atly5ZJiu0R9uabb9qXCnemnDlz6qeffkpyHoStW7eqcePGluiVkjFjRq1bt85+XOPbsWOHatSooWvXrqVxMkfjxo1TcHCwwsPDE5wYLFq0SJ07d9b7779vqcmXXUWJEiX05ZdfJjn8dvv27Wrbtq0OHDiQxskSij8cKz5XG45lFZ6envrjjz+UM2dOGWOUP39+rV+/XgEBAQ77WfEzNs6dO3d0584dyw17X7VqlapXry4/P79E23fu3KnQ0NAke4QgcUkNa798+bJ+//13eXl5ad26dU7vqZo1a1aHCzJXr16Vn5+ffahuHCsMGZJiC1+tWrVK8vc1TlhYWBoluj+rz0XlajJkyKDdu3cn+bdz5MgRlSlTJsFcammtRIkSOnjwoCpWrKhu3bqpdevWlv6Mqlq1qipXrqzg4GB98cUX6tevn4oWLarp06dbaoGL+G7evKl58+YpLCxMW7ZsUbNmzRQaGmqZBTDSpUun559/Xl27dlXDhg1d5gL4sWPHFBYWppkzZ+rGjRu6cOGC5syZk+YjWP4zha/z588re/bskqQTJ05o+vTpunnzpp577jnL/QHGH78bn9XG7yZl586dmjRpkkJCQpwdJVHR0dGaPHmygoODlTlzZo0cOdIyw0j9/Px04MABFShQQFLsFamWLVvq3XfflRTbk/HJJ590+gexJPn6+urgwYPKnz9/ou0nTpxQ0aJFLbGqX8WKFdWlS5ck50yaOHGiZs6cqd9++y2NkzkqW7as+vTpk+QE2yEhIZowYYJ2796dxskSt3nzZl24cEGNGjWyb5s1a5aGDh2q69evq1mzZpo0aZIlThz8/Py0f//+JIeD/PnnnypZsqTTe/1JCed3is9q8zsdPHhQu3btUoUKFVSoUCEtWbJEY8eO1c2bN9WsWTMNHDjQEidprjZHRlhYmH777Tc988wzateund577z2NGzfOPuz922+/tZ/fOJuHh4fSpUunypUrKygoSEFBQapWrZp9TjI8mM6dOye6Pa4HjVV6JrhaTzpXmuNLco25qBJz7tw52Ww2y7xP/ZO/v7+2bNmiEiVKJNp+4MABPf3005aYP+/XX39VaGio5s2bp3v37unFF19Ut27dLPc9VoodYbFlyxYVK1ZM0dHR8vX11eLFix3OE63sl19+0dChQ/XLL7/o3LlzlphaRpJmz56tsLAwrV69Wnny5FHnzp3VqVMnyy3UlxRjjJYvX67Q0FAtWrRIOXLk0IsvvphmF8PcflXH3bt367nnnrN/+f7222/VsGFDXb9+XR4eHho/frzmz5+vZs2aOTuq3erVqy3x5eDfuHXrllavXq0lS5Y4O0qivv76aw0ZMkQ3b97UsGHD1L179yS/XDpDvnz5tG/fPhUoUEDXrl1TZGSkxo8fb28/f/68wwpUzhQQEKAtW7YkWfjavHmzJeackKTWrVtryJAhqlGjRoIx/JGRkRo+fLglViU9ePCg6tatm2R73bp19dprr6VhouQNGzZMtWrVsp/Q7N69W127dlWnTp1UsmRJffTRR8qXL5+GDRvm3KCKHeZ++PDhJH8nDx06ZIkvkFLK5m1q0aJFGiS5v++//16tWrWyF5W++OILde/eXUFBQfL399ewYcPscz04mxXmGUup4OBgBQcHq1q1avrmm2+0fv16LVy4UCNGjJCHh4cmTpyowYMHW2JorhR7oWP16tVau3atvvrqK40cOVK+vr6qWrWqvRBWpUoVp3/eprRn1JEjRx5xkpSxUo+j5NyvoHX37l1FRUWlUZr7c6Vz7fDwcE2aNEkTJ05Mci6qUqVKWWYuqkuXLmnQoEGaM2eOLl68KCm2R2Dr1q01atQoy0w3U7FiRX399dcaOXJkou1ffvmlJRa7kaTq1aurevXqmjRpkubMmaOwsDDVqlVLhQsXVteuXdWxY0fly5fP2TElxY6mifs39vLykp+fn2Wmv0nKqVOnFB4errCwMF2/fl3t27fX1KlTLVP0kmIXv2vTpo1OnDih0NBQhYeHa/To0apZs6a6deumFi1ayNfX19kxk2Sz2dSwYUM1bNhQFy5c0KxZszRz5sy0C2DcXMOGDU3Tpk3NunXrzKuvvmoee+wx07lzZxMTE2NiYmJMr169TJUqVZwd0yXdvn3bDBw40FSqVMlUrVrVfP/998YYY0JDQ03evHlNvnz5zOjRo50bMp6ffvrJPPXUU8bf39+MGDHCXLt2zdmREvXuu++aEiVKmFmzZpnWrVubAgUKmOjoaHv7tGnTTPXq1Z2Y8P8MGTLEFChQwOzevTtB265du0zBggXNkCFDnJAsoTt37piaNWsaLy8v06hRI9OnTx/z1ltvmUaNGhkvLy9To0YNc+fOHWfHNFmzZjWRkZFJtu/atctkzZo1DRMlL0+ePGbr1q32+wMHDnT4/Zw7d64pWbKkM6Il8NJLL5lmzZol2f7888+bli1bpmEi91CxYkUzcOBAc+/ePRMaGmr8/PzM+PHj7e3Tpk0zJUqUcF7AVDp79qyzIxhjjClSpIj55ptvjDHGbN261Xh4eJh58+bZ25cuXWoKFCjgrHj3dfz4cRMeHm46d+5sChUqZDw8PEzGjBmdHcvYbDYTEBBgBg4caCZMmJDkzepu375trl696uwYKbZz507j4eHh7Bh2NpvNnDlzxtkxUuTpp58248aNS7L9k08+MU8//XQaJkra+fPnTbFixUyGDBlM9+7dzfjx4824cePM//73P5MhQwZTokQJc+HCBWfHNMYYs3jxYuPp6Wneeecdc/r0afv2qKgo069fP+Pl5WUWL17sxITJO3TokBk4cKDJmjWr8fb2dnYcO5vNZiIiIkxkZKSJjIw0GTJkMEuWLLHfj7tZwZw5c0zDhg2Nn5+fadasmfnhhx8cvnNZ3apVq0y7du1M+vTpTZYsWUzPnj2dHSnFLly4YMLDw9Ps+dy+8JU9e3b7H9bVq1eNzWZz+IK2b98+kzlzZielS5zNZjMeHh7J3jw9PZ0d07z33nvG39/ftGjRwuTJk8d4eXmZ7t27m2LFipmZM2daooAQZ/PmzaZWrVrG19fX9OnTx/z999/OjpSs69evm/bt25ssWbKYEiVKmF9++cWhvVatWuaDDz5wUjpHN2/eNNWqVTOenp6mYcOG5q233jJvvfWWadCggfH09DRVq1Y1N2/edHZMu9u3b5sxY8aYp556yvj5+Rk/Pz9TtmxZM2bMGHPr1i1nxzPGGNO4cWPTo0ePJNtfffVV07hx4zRMlDwfHx9z/Phx+/3q1aubkSNH2u8fPXrUEl92jTHmt99+Mz4+PqZFixZm8+bN5tKlS+bSpUtm06ZN5sUXXzQ+Pj5m+/btzo7pcjJmzGgOHTpkjDEmJibGeHp6OhTDjx49avz8/JwVL0Xu3btnlixZYpo3b27SpUvn7DjGGGPSpUvn8LeVLl06s3//fvv9kydPWurLTmIOHTpkvvjiC9O2bVvj7+9vMmTI4OxI9i86vr6+pnnz5mbx4sUmJibG2bGSFRoaal577TXz1VdfGWOMGTBggEmXLp3x8PAwdevWNefOnXNywvuzWuFrzZo15u7du86OkSLp06c3hw8fTrL98OHDJn369GmYKGlvvvmmKV26tEMhKU5UVJQpU6aM6dOnjxOSJW7ixIn2v6WsWbOarFmzGg8PD+Pt7e1wAcdqrl27ZkJCQkz16tWNzWaz1MWluO+yNpstwS1uu1XeC2w2mylYsKAZOHCg+fTTT5O8Wd38+fNNtmzZLHNcUyKtPxPcfo6vxFZvioyMtHdzt+LkwD/88EOSbRs2bNCkSZNkjNHNmzfTMFVCRYoU0UcffaTmzZsrMjJS5cuX18svv6wvv/zS6cMY4vPw8JCfn59effXVBBMY/9Mbb7yRdqHcyJ07dzR+/Hj7hKuSVKxYMbVu3VpvvfWWJeZ2ciUbNmxQrVq11KxZM/Xr18++quO+ffv0ySef6IcfflBERISqV6/u7KiSYpdP//LLL1WzZk3duXNHWbJk0eLFi1WnTh1JsUMfAwMDLTOh8Y8//qguXbro/PnzDtuzZ8+uGTNm6Pnnn3dSMkeutBqtK37Wxjly5Ih9yMC1a9fUpEkTtWjRQs2bN3d2NJc8rkeOHNGaNWsUERGhiIgIXb16VdWqVVPNmjUVGBiop59+2jIr/J06dUozZ87UzJkzdf36dXXs2FFdu3ZV0aJFnR3NwT+HvO7YsUOtWrXSwoUL1adPH/uQ16ZNm1pmyGtSIiMjVaFCBcv8vs6aNStF+1lh+KArzUUVEBCgadOmqUGDBom2L1u2TD169NCxY8fSNlgyTp48qXnz5tkXjSpWrJhatGiR5DQezvTLL78oLCxM8+fPlxS7unrXrl0tc04oxc6XmhJWmAolICAgRedaVhn6/k9xk8aHh4fr5MmTCgoKUteuXS0zZ/X9pPVnwn+i8HXmzBn7qliZMmXSrl277EvtWvGkMTH79+/Xe++9p8WLF6tdu3YaOXKkfeJzZ/Hx8dHhw4f1+OOPS4qd5HzTpk0qV66cU3MlxpXf1OK7ePGivvrqK4WEhGjnzp3OjqNffvlF1apVs1yx09V9//336t69e4JiUdasWTVt2jTLzO0kSa+++qp2796tsWPHauHChQoPD9dff/1ln9D666+/1oQJE7R161YnJ/0/N2/e1LJly3To0CEZY1SsWDHVr1/fMnPnSa61Gm38FSj9/f0VGRlp2c/aW7duaf78+ZoxY4Y2bdqkevXq6aefftLOnTsttVy8h4eHVq9erWzZskmSqlWrprlz59o/d8+dO6d69epZ5rgWLFhQV65c0bPPPmsvdFWsWFGenp7OjnZfa9eu1bBhwyw3mbEkFS1aVCNGjFCbNm20bds2ValSxWFFrJ9++kk9evRI8ZdNZ7Fa4Su5f2Obzabr168rOjraEnmDgoL07LPPJjkX1eDBg7V+/XqtWbMmbYMlIv73g/hOnjypIkWKWGLRoy5duujTTz9VpkyZnB0lWSdPnlR4eLhmzpypw4cPq0qVKvYCh9VW98WjdevWLfvKk7/88osee+wxderUSZ07d062c4cVpfVnwn/im2qnTp3sPU5u3bqlHj16KEOGDJKk27dvOzPaff31118aOnSowsPD1aBBA0udlN+9e9dhpSZvb29lzpzZiYmSZqWrSg9q1apVCgkJ0cKFC+2rYFhBUFCQoqKiXGJVpEKFCqWoAHr48OE0SpS05s2bq0GDBlq+fLnDFUirFWckadSoUXrxxRcVGBiojBkzKjw83OG9ITQ0VPXr13diwoT8/Pws0aMnOf9c0CLOP1ejfeyxx5L8EpTW4oqHcX9f165dU/ny5eXh4WFvt4pevXrp22+/VfHixdW+fXt99913yp49u7y9ve15raROnToOx69p06aSYt+rTLwVKZ0t7pzKZrPJ09NTnp6eljym/xRXBA0NDdXmzZv10ksvWe499vjx43r22WclSZUqVZKXl5fKlCljby9btqwlJo3ftWtXsu0HDhxIoyQpEzfpenxRUVEaPny4QkNDVa9evTROlbi3335bzZo10+3bt/X2228rd+7ckqTTp0/rk08+0YQJE/T99987OWWsHDly6NixY0kWvo4ePWqZFR7Dw8P1wQcfWL7wFRAQoOzZs6tDhw7q2rWrSpYs6exIyfrwww/1+uuvy8/PT1LsRfIqVarYv49fvXpV/fv315QpU5wZ0+V0795dc+fO1a1bt/TCCy9oyZIlql+/vqXOA6zM7Xt8JbUEdHxWWzHn8uXLGj16tCZNmqRy5cpp7NixqlGjhrNjOfDw8FD37t3tJ4iTJ09W+/btExS/xo0b54x4qXL+/Hl9+eWX6tOnj7OjODh+/LjCwsIUFhama9eu6eLFi5o7d66levu40nLgn376aZJtx44d07Rp0yzTg8YVXb58WRkzZkzQu+PChQvKmDGjQzHMWVxpaEt8/1yNdvDgwZZajTY8PDxF+91v1be0ELe65IABAxy+7Hh7eysyMlJPPvmkE9M5cqXhInH2799vH+q4du1a3bp1S88++6xq1apl7wFmhWLY5s2bFRISojlz5qhw4cLq0qWL2rVrZ6meXnFcZchr3KquiX21+Geh1tk5k3L16lWNHTtWn376qUqVKqUxY8YoKCjI2bHsJk2apH79+ik6Otp+rn358mV5enrqww8/tMw5bNeuXXXo0CGtXLkywef+7du31aBBAxUuXFghISFOSvh/XOUcdsGCBXr++ect85l/P56eng4Xxf39/bVz507LvWdJsZ8FFy5csK9MLsWeKw4dOlTXr19Xs2bNNGnSJEtM21K2bFl17dpVHTp0sPcEt7KJEycm237q1Cl9/PHHDHX8L/vwww81duxY5cmTR6NHj9YLL7zg7EiJqlWrVop6z6xevTqNEqWOMUYrVqxQSEiIfvjhB/n7++vvv/92dixJ0ty5czVjxgz9+uuvaty4sdq3b69GjRopQ4YMlvtiFn84sau5cOGCRo4cqalTp6pKlSoaO3asnnnmGadmWr16tV577TVt2rRJ/v7+Dm2XL19WtWrV9Pnnn1uuGO4KXGloS5xly5ZpwIABOnr0qPr166e+ffvaey27kujoaEuctH/zzTcKCwvTxo0b1aRJE3Xo0EENGzaUn5+f5d5f3cG+ffsUERGhNWvWaPny5bLZbLp06ZJTM5UqVUpnz55V27Zt1bVrV5UtW9apee7HVYa8umKhVoqdp/Szzz7T6NGjlSNHDo0aNco+jNRqXGEuqpMnT6pSpUry8fFR79697fOS7d27V1OmTNHt27e1bds2S2R29XNYq3KVYr0kNWrUSLVq1VL//v0lxc5LW6FCBXXq1EklS5bURx99pFdffVXDhg1zblDFjv6pXr26vSed1cVNd3E/R48efcRJYv1nC19//vmnrl+/rhIlSljiyuM/xU3EXrdu3WTnxViwYEEapnIfx44dU2hoqGbOnKlTp06pXbt26tixo4KCgiwzD4mXl5feffddvffee5bvkRC/519SrNbz7+bNmxo3bpw++ugjBQQEaPTo0WrcuLGzY0mSnn/+eQUFBSU5x9PEiRMVERFhmWENXbp0ue8+NpvNEld3k/LPoS21a9fWsmXLnB1JW7ZsUf/+/bVp0yb16NFDgwYNUo4cOZwdK9X27t2rkJAQffXVVzpz5oyz49jFTQo7c+ZM3bhxQxcuXHCYN8kVLFiwQMOGDbvvEDNnOXPmjMNE9wcPHpSPj4/TF+fx8PBQhgwZ5OXllewFPKssyOHqPamsyhijWbNmaciQIYqOjtbQoUPVtWtXy5wLurKjR4+qV69eWrFihf331mazqV69evrss89UpEgRJyeM5eHhocyZM9/3Qr6z3wvi3gOSY7PZFB0dnUaJkudKha+8efNq8eLFqlSpkiRp0KBBWrt2rdavXy9JmjdvnoYOHaq9e/c6M6ak2OOaLl06Va5cWUFBQQoKClK1atUsMaLCFTj/0usjFh4erosXLzp0/+3evbv9C1jx4sW1fPlyS1x1iNOxY0eXGKv7xBNPaOvWrZYZp5+c27dva8GCBZoxY4Y2bNigRo0aady4cWrTpo0GDBhgqUKSFFtImDJlitauXasOHTro5ZdftuTwizi7d+9O9k3XSr/PMTExmj59uoYPHy5fX19NmjRJ7du3t1TGyMhIjR07Nsn2+vXr/7/27jsqiuvtA/h3FxYBAZFoxIYi0uxGBbFRbFiiCBaaBTRGwRZFIUbFhjViiyYqLGADIRCVWIiGoogiFsAACmIviAooXYH7/sHL/Fh6ijsz6/2cw4m7s+fwPQR2Z56593nw448/SjFRw+rrkwJU/rwvXryI0tJSTha+am5tiYiI4MzWloEDB0JJSQnz589H586dcfz48Tpfx8VptAUFBQgKCoKvry8SEhIwcOBAeHh4sB1LQufOnbFu3TqsXbsWEREREIvFcHR0xJIlS2Btbd3oEn1pOXToEP744w+IRCIsXrwYxsbGiIyMxLJly3Dv3j1Mnz6d7YiM7OxsREdHM8Wu9PR0iEQiGBkZwdbWFubm5jAxMWE7JufaWzRGWnfD/y2+9fXp3bs3MjMzsXDhQixZsgTKysooLCys9bqaK6/ZcOnSpSa9btiwYZ84SdNoa2vj3LlzyM3NZVande3alZPbs9atW8fZHsVVwsLC6j1PjYuLw969eznVS5NPcnNzmZ55QOWgE0tLS+bxgAED8PTpUzai1fL06VNERkYiJiYGR48exYYNG6CoqAgTExOmEGZsbMyJ1fVNIfVWQ0TGDRw4kIjFYubxuXPniLy8PDl69Ci5efMmMTExIbNnz2YxIX8JBALy6tUrtmM0yRdffEGGDh1KDhw4QHJycpjn5eXlSUpKCovJ6ldUVET8/f3JsGHDSLNmzciECROInJwcuXPnDtvRJPDp9+DEiRNEV1eXfPnll2TXrl2ktLSU7Uh1atasGcnIyKj3eEZGBlFUVJRion/m5MmTpFu3bkRdXZ1s3ryZ7TgSSktLyY4dO8gXX3xB9PX1SUhICNuRaunUqRPp3Llzg1/a2tpsx5Rw+fJlMnPmTKKiokJ69uxJ5OTkSGxsLNuxJGzfvr3eY2/evCHr1q0j+vr6UkxUv+3btxORSET69etHlJWVibKyMvHy8iJffPEFWbt2LXn9+jXbESUIBAKioKBABg0aRH744Qdy4cIFUlRUxHYsSkqEQqHE+YCqqirJzMxkHmdlZRGhUMhGtDoJBALmSygU1vqqep4Lqmet+VWVV05Oju2YDXr06BFJSUkh5eXlbEdh8Okctqa0tDRiZWVF5OTkyIwZM8jjx4/ZjsQQCATEy8uL7N69m+zevZsoKiqS1atXM483btzImb8tLS0tEhMTQwipPDdUUlIiFy9eZI4nJyeTli1bshWvQU+ePCEBAQHEycmJaGtrE6FQSFRUVNiO1aCKigpy/vx5MmXKFKKgoEBatWolte/Nj3Lgv5Cens4sXQSAU6dOYcKECXBwcAAAbNq0qckN8Cn+Ki8vh0AgYCZN8YGSkhJmzpyJmTNnIiMjA2KxGDdu3MDgwYMxbtw4TJ48mROTHbm0Uqoxtra2UFJSgp2dHR4/flzvChS2t2W2b98ed+7cqXcrQHJyMtq2bSvlVE135coVuLu74/bt21iwYAE8PDw4s2KR1NjasmnTJs5ubeHTNNpt27ZBLBajoKAAdnZ2iI2NRe/evSESiTjz/77K6tWr8cUXX9T52d+sWTOcO3eOMy0QfH198csvv8DZ2RnR0dGwsLBAZGQk7t+/D3V1dbbj1XL48GFMmjSpwR50x44dY87BuOrly5fw8vLCTz/9xHYUAJWDbppCS0vrEydpGKmx4qTmY66JiopiO0KT1beyuqioCLt378aePXuYbWRs49NuGz6dw1Z58eIFPD09ERAQgNGjRyMxMRE9evRgO5YELS0tHDp0iHmsqamJI0eO1HoNF1haWsLDwwNbt27FyZMnoaysLNFDNzk5GTo6OiwmrF/Hjh0xePBglJaWorS0FG/fvuXE9tG61NVq6MyZM9LdZSG1EhtLlJSUyKNHj5jHvXr1Irt27WIeP378mBcrJ7hIIBCQqKgokpSU1OAXFxQXF5OjR48Sc3NzoqSkRKytrUlYWBgRiUScXfFVl/LycnL69GkyceJEoqCgwHYcQgi/7paZmpoSMzOzRr/YtmDBAtKjRw9SXFxc61hRURHp0aMHWbhwIQvJGvbXX3+R8ePHE3l5eeLs7EyePn3KdqRaevbsSZSVlYm7uzt5+fIleffuXZ1f1N8jJydHVq5cScrKyiSe5+Kq2pCQEKKoqEh+++03iefz8/OJiYkJ0dfXJ1lZWeyEq0FJSUniLr6CggK5du0ai4kaZmhoKLGquqZjx44RkUgkxUT1S0lJIT/99BM5cOAAyc3NJYQQ8vr1a7JkyRKiqKhIDA0N2Q1YTWMrkriy2qfm+YCKigqnV3zxWXl5OTl06BDp0KED0dLSImKxmDMrqfi024ZP57B5eXlkxYoVRElJiZiYmJBLly6xHUkmZGdnkyFDhhCBQEBUVVVJWFiYxHELCwuycuVKltLVlpmZSXx9fYmjoyNp3749UVNTI5aWlmTTpk3kypUr5MOHD2xHZJSUlJDjx48TCwsLoqioSCZNmkRCQkJYOzeU+cKXgYEBCQ0NJYRUntDIycmRGzduMMfj4+NJmzZt2IrHa1UnXPUtu+bSEvHq7t+/T3744QfSoUMHIhAIiL29Pfnjjz9qXbBxHVc+qP39/UlJSQnbMWRKVlYWadeuHenYsSPZunUrOXnyJDl16hTZsmUL6dixI2nXrh1nLswJqVxqPWvWLCIvL0+srKxIamoq25HqxaetLYQQ8vHjR7Jt2zbSt29f0rx5c6KiokL69u1Ltm/fzqmTGy8vL6Krq0s6duxIVqxYwWzJ5mLhixBCDh06RJSUlEhkZCQhpLLoNXjwYKKrq0ueP3/Ocrr/aayQwDWmpqbEyMiIFBQU1DoWGBhIRCIR8fb2ZiGZpPDwcKKgoMC8F+jo6JDIyEjSqlUrYmZmRsLDw9mOKCExMbHOr9u3bxN3d3eipKREWrduzXZM3ha+nj17Rnbv3k1cXV3JggULyJ49e8izZ8/YjlWv0NBQoq+vTzQ0NMj27ds5dw6moaFBkpOTmcfz5s0j1tbWzOOoqCjSuXNnNqL9bRUVFZw43966dSvR0NAg3bp1IydPnmQ7jkzKy8ur81rw7du3nGmNoqWlRdTV1cn48ePJtm3bSHx8PKevX7nWakjmtzrOmDEDrq6uSElJQWRkJAwMDNCvXz/meFxcHOeWh/JJfHw870YA6+joYOPGjVi/fj0iIiLg6+uL8ePHQ1VVFW/evGE7HgDg5s2bcHNzw6lTp2o1VX337h2srKywe/duZloKm+Lj42FjY8M0rz1y5AgmTZoEFRUVAEBeXh7s7e1x9uxZNmM2yZ07d+Dr64tdu3axmqNNmzaIi4vD/Pnz8f3330tMRBo9ejT2798v0YiTbfr6+hAIBFi2bBkGDRqEjIwMppltdRMmTGAhnSQ+bW0pLi7GyJEjcfXqVYwYMQLDhg0DIQR3796Fu7s7Tp8+jT/++AOKiopsR8XKlSuxcuVKxMTEQCwWY+DAgdDR0QEhpMHhB2yZM2cOcnJyYGVlhVOnTmH16tXIyspCTEwM2rVrx3Y8CT4+Psz7aVlZGfz9/WtN9+TKgIPff/8dZmZmmDhxIs6dOweRSAQACA4OxowZM7Bp06Z6p9VKk5eXF+bNmwcvLy8cPHgQbm5umDdvHkJDQznTHLy63r1713ru4sWL8PDwQHp6OlasWAE3NzcWktXW0O9rfn4+m9HqtH//fixduhQfPnxAixYtQAjB+/fvsXz5cnh7e8PFxYXtiIyYmBi4u7vjzp07WLx4Mdzd3TnZlL24uFji3DUuLk5i+nOXLl2QlZXFRrRalJWV8fjxY+ZaxtLSEn5+fkw7iezsbE5MH/Tw8ICSkhK6du2KgIAABAQE1Pm6sLAwKSerX35+PtLT06Gvrw8VFRXcunULu3btQnFxMaysrDiz5d3GxgYHDx6sd1gblwYylJaWAgDTukdOTo4zrRnqwrlWQ1IvtUlZeXk5WbVqFenTpw+xtLSstRJh8uTJxMfHh6V0/Man5cGNyc7OJjt27GA7BsPOzo6sX7++3uMbN24kDg4OUkxUP741s63p3bt35JdffiEDBgwgAoGA9O7dm+1IRFtbm7x584YQQkhOTg65fv06iY+Pb3ALEZsaarpbfXUV9fesXr2aaGlp1bllPDExkWhpaRFPT0/pB2uC9+/fk59//pkYGRkROTk5YmJiwqn32CoeHh5EKBSSLl26cHJrLh8HHGRnZxMDAwNibW1NKioqSHBwMBGJRGTLli1sR2O0aNGC3Lt3jxBSuapSTk6OnD17luVUTXPjxg0yYsQI0qxZM+Lq6sqp87Cm/L5yaaXP77//TuTk5MiyZcvIixcvmOdfvHhBvvvuOyIvL0/OnDnDYsL/GTNmDFFQUCDffvstefnyJdtxGsSn3TZNWaUoEAjYiCZh5syZZNasWY1+cUVMTAxRVVUlAoGAaGhokIiICKKqqkoMDAxI9+7diVAoJAcPHmQ7JiGEEBMTE9KmTRty+vRptqM0SVpaGvn555/J1KlTSZs2bUiLFi3IuHHjyPbt28n169c5s+WZEO61GpL5whf16chS4YtrunTp0mB/tOTkZM5c7PB1a0N0dDSZPn06UVZWJkKhkLi7uzc4SVGa6N8We27evEnGjRvHdgxCCCG6urrk119/rfd4cHAw0dXVlWKifyY5OZksXryYE1uxCCFk0qRJEl/NmjUjRkZGtZ6n/rknT54QLS0tYmFhQRQUFMjGjRvZjiShrs+t+/fvs5iocRkZGWTq1KlETk6O2NnZcXLLK1c+Q5tq2LBh5Icffqj3+A8//ECGDRsmxUT1EwgERCQSEXV1ddKyZct6v7hg06ZNRFNTk6xfv56YmZmR7t27SxzfuXMnGT58OEvpJPH1HJbrhg4dyvR6Xb9+PVFXVyfff/89c3zDhg2cuNFMSOV21m3bthElJSXi7OxM3r9/z3akvyU1NZXs27ePTJkyhaipqZEWLVqwHalOXGg1JPNbHa9fv45+/foxy+sIIRITPEpLS3Hq1ClMnTqVrYi8ZWpqCgUFBbZjNEnLli2bNLklJydHCmka9/z5c6iqqtZ7XEVFBS9fvpRiItnw8uVL+Pn5QSwWo7CwEHZ2doiJiYGJiQlmzJhR7xRFSrZcuHABf/zxB0QiEebMmYMuXbrg7t278PDwQHh4OEaOHMl2RACVk9yMjIzqPT5w4MAmT3tjU8+ePeHt7Q1XV1e2owBAra1BdnZ2LCWRPcnJycy/t2/fjhkzZmDSpEn4+uuvJY716tWLjXgSUlNTme1WhBDcu3cPhYWFEq/hQk4AcHFxga+vL8zNzXHjxg306dOH7Uh10tPTQ/v27WFubg4LCwuYm5ujU6dObMeq1+3bt3Hw4MF6j0+fPh27d++WYqL6+fn5sR2hydzd3VFUVISwsDBoamoiJCRE4viVK1fo++6/kJeXh/v370MgEEBHR4eTE36Tk5Nx8OBBdOjQAe7u7li7di2mTZvGHLe1tcXWrVtZTPg/AoEAy5cvx9dffw0nJyf07NkTixYtgry8ZJmEKy0Fqnv16hWSk5ORnJyMpKQk5OfnM61nuIYLrYYEhHB81vC/JCcnh5cvXzK9kNTU1JCYmMiM/H316hUn9m7LipKSEpw4cQKFhYUYOXIkdHV12Y4EAPXuha9p5syZnzhJ03Ts2BGHDh2CpaVlncfPnTuHuXPn4unTp1JOVptQKERWVhbzN6aqqoqkpCRO/o0pKipiypQpcHR0xMiRI5l98SKRCElJSejWrRvLCSsJhUJERkY22leAKxdlp0+fbtLruNDjKyAgAE5OTtDQ0EBOTg5atWrF9HGxsbHBsmXLONP38csvv8S5c+ck+lJWl5CQgHHjxiE7O1vKyWqTk5PDggULsHPnzjr7TXDpfYBPxo4di8DAQKZY5+XlBVdXV+ZC5+3btxg6dChSU1NZTPk/QqEQAoGAuclIqvUnrP5vtn8PquesqXp+tnNWEQqFUFRUhIGBQYOvu3XrlpQS1e3y5cuIiYlBdHQ0rl69ipKSEmhpaTFFMHNzc7Rv357VjNWpqKggOTmZOV+p6cGDB+jVqxcKCgqknIySFjk5OWRlZTE9vtTU1JCUlARtbW0A3PrsevToEVxdXRERESHxfmppaYmffvoJnTt3ZjdgNXy6NqjOx8cH8+bNQ9u2bSUKXwKBAA8ePGAxWaXs7GxER0cjOjoaUVFRSE9Ph0gkgpGREfMea2JiwtniV02vX7/GkSNHsHTpUql8P5kvfDXlD69t27aoqKhgMyYvLV++HB8+fGDuhn348AHGxsZISUmBsrIyysrKcOHCBZiYmLCclH+cnJxw//59XL58udYxQgiGDRuGrl27cuIOoFAoxNy5c6GsrAwA2LdvHxwdHZkLtaKiIhw6dIgTH276+vr48OED7O3tMX36dOYigouFL75dlDWGK3n79OkDW1tbeHh4IDg4GLa2tujbty+Cg4Oho6PDdjwJ06ZNQ1lZGUJDQ+s8bmNjAzk5OQQHB0s5WW1CoRAqKiowMjJCcHBwraIt/az9Z/h28+7x48dNeh3bq4D4krPKunXrmvQ6T0/PT5yk6T5+/IirV68yF2nXrl1DaWkpunbtinv37rEdDwBgbGwMW1vbegcueHt748SJE4iPj5dysvoRQnDz5k08evQIAoEA2tra6Nu3b5N2NUgbH7IKhUK0aNGCyZSXlwc1NTXmvIb8/7ADtt9jnz59igEDBkAkEsHFxQWGhoYghCAtLQ0///wzysrKkJCQgA4dOrCaswqfCopAZZ45c+YgNjYWu3bt4sxCiJqEQiFEIhH69+8Pc3NzmJmZYfDgwVBSUmI7Gi/QwhfH/vD4pEePHti0aROzisPPzw/Lli3D7du3oaWlBWdnZ2RnZ+PMmTMsJ23cy5cv4eXlhZ9++ontKACAzMxM9OvXD/r6+li2bBkzNS8tLQ07duxAeno6bty4wYmteWZmZk06ieHKNL0rV67A19cXISEh0NPTg6OjI1asWIHk5GQYGhqyHQ9A5fvW9evXG52YypWLMj5RVVVFcnIytLW1UVFRgWbNmuHixYswNTVlO1otqampMDY2Rvfu3bF06VKmUJuamoqdO3ciNTUV165dQ/fu3VlOWnmSGxcXh2+//Rbv37/H6dOnJVbO0c/af4aew7AnMTGRs1sK+aS4uBixsbGIiIjAoUOHUFBQwJnf14CAAMyfPx8//vgj5s6dy6zwKCsrw4EDB7B8+XLs378fs2bNYjfo/4uKisLs2bPx+PFjiRU/2traEIvFnJpIypesfNkR4uzsjMzMTERERNSa5FxcXAxLS0t07doVvr6+LCWUJBQK0aNHD+ZvKjk5GQYGBkyLnLKyMqSkpHDivSAoKAgLFixA3759IRaL0bFjR7Yj1SsiIgJDhgxB8+bN2Y7SJFU38mtSU1ODvr4+VqxYAWtra6nloYUvetL4j6mpqeHWrVtM8cXOzg6qqqpMv4TExESMHTsWL168YDMmIzU1FVFRURCJRJg6dSrU1dXx5s0beHl54ZdffoG2tjZntosAwI0bNzBr1iykpqYybxqEEHTr1g1+fn4YMGAAywn5LT8/H0FBQRCLxYiPj4epqSns7e1hZWXVaMHpU6v5vkX9dxr7TOCaa9euYfbs2UhLS5N4HzAwMICPjw8GDRrEcsJKVT9XVVVVzJo1C2fPnkVAQABzQkM/a/8Zvp7DJCQkIDAwEOnp6RAIBNDV1YW9vT369+/PdrQGvXv3DseOHYOPjw+SkpI483PNzs5u8POgrKwMt27darAnoLSUlJQgLi4OUVFRiI6ORkJCArS1tWFqaophw4bB1NSUU9sd3dzc4O3tDVVVVWbVb2ZmJgoKCrBo0SLs3LmT5YSV7t+/j969e8PY2BiLFy+GgYEBCCFITU3Fnj17cOPGjQa3bdKs/NauXTsEBwdjyJAhdR6/dOkSbG1tOXPNxadVqs2bN8eWLVuwcOFCtqP8LcnJyRKfsVxpf1LdqVOn6nw+Ly8P169fh5+fHwICAjBlyhSp5PksCl/Ve+UMGjQIwcHBzFLQN2/eYOTIkZw5ueETdXV1JCQkMH28tLW1sXr1ajg7OwOo3ItuaGiI4uJiNmMCAH7//XfY2Njg48ePAIAuXbrg0KFDmDp1Knr06IFly5Zh/PjxLKesW2JiIjIyMkAIgZ6eHr0D/QmkpaXB19cXR44cQU5ODvN7wha+Fb4uXbrUpNdx4Q6vUChEQEAAsxXXzs4Ou3btQps2bSRex4V+ZNUlJiYiPT0dAJj3gcLCQty8eZMzP9fqv7ObN2/GmjVrsHLlSqxbt46zBRquq7ldpPqKRYCbha8VK1bgxx9/hIqKCrp06QJCCB48eICioiK4ublxpqFxdZGRkRCLxQgLC0OnTp1gY2MDGxsb9O3bl+1oAGpveTU0NERERAS0tLQAcOf3wNTUFAkJCdDR0WGKXKamprXeX7nm2rVrCAwMREZGBoDK91hbW1sMHDiQ5WT/s2DBAqSlpeHPP/+sdYwQghEjRqBbt27Yu3cvC+kk8SlrY7iyI6RZs2bIzMysdyvjs2fPoKOjg9LSUikn47+MjAzo6uri3bt3uHDhgsTW3BEjRkBNTY3tiBKuX7+O2bNnIzU1VWI1Zffu3eHr68urhRH79u3D4cOHpbed/NMOjWSfQCAgQqGQCASCWl9Vz9Mxtf+MsbEx2bFjByGEkL/++osIhULy4MED5nh0dDTp1KkTS+kkDRw4kCxatIjk5+eTHTt2EIFAQPT09EhMTAzb0ep04cIFUlRUxHaMJlm3bl2TvrgiODiY2NvbkylTppADBw5IHPv48SMJDQ1lKdn/mJmZkdzcXLZjNFld76/V32eFQiGRk5NjOyYhpOGs1TPzQWJiImey1hwJTwghZ86cIerq6sTKyopkZGRwJiufCAQCMnbsWDJp0iQyadIkIi8vT0aNGsU8Hjt2LKd+rv7+/kRRUZHs3buXfPjwgXn+w4cPZPfu3URRUZEEBASwmPB/nj59SjZs2EC0tbXJl19+SRYsWEDk5eVJSkoK29Fqqfn3paKiQjIzM5nHWVlZRCAQsBFNgry8POnYsSNZuHAhCQ0NJa9fv2Y7kszo3r07OX36dL3HT58+Tbp37y7FRPXjU1ZCCElJSSE//fQTOXDgAHPu9fr1a7JkyRKiqKhIDA0N2Q1ICOncuTM5f/58vcfPnTvHmWsuPjpy5Ahp0aJFrfNBdXV1EhQUxHY8RkpKClFRUSEDBgwgx48fJ7dv3ya3bt0ix44dI/379yeqqqqc/AyrT3p6OlFXV5fa95P5FV98a2DKJ6GhobCzs8PQoUORkpKCAQMGIDw8nDnu7u6Ohw8fcqLxsrq6Oq5fvw49PT2UlZVBUVER4eHhGDNmDNvR6iQUCqGgoMBM6bCwsICJiQmzN55LGrojLhAIcO/ePZSUlLB+JxoADh48iHnz5kFXVxeKior466+/sGLFCmzevJntaI3i6sRUoHJ7UF2Kioqwe/du7NmzB126dMFff/0l5WSyLSkpCV999RUn/rZqrkipkp6eDisrKxQVFeHp06ecyMons2bNalIPRS4MOgEAIyMj2NnZNdgsPCgoCNevX5dyMkljx45FbGwsxo8fDwcHB1haWkJOTo5zg06q8GXLa2FhIS5fvsxMHEtMTISenh5MTU1hZmYGU1NT1lsJVDdjxgzs27cPqqqqAMD8vxeJRCwnq01NTQ3Jycn1Tu57+PAhevXqhfz8fOkGqwOfsvJlR8iSJUsQGRmJP//8s9bfUHZ2NkaOHAlzc3Ps2rWLnYA1WFhYNOl1kZGRnzhJ427dugVjY2M4ODjgu+++k9iau2vXLgQFBSEhIQG9e/dmOyqmTJmC8vJyhIaG1jo3IITA2toaIpGIE9feTZGcnIzRo0fj5cuXUvl+Ml/4oj6tixcv4syZM9DU1MTChQuZyX5A5f7uqpMdttV10piYmMi5KW5Vnj9/jsjISMTExCAqKgoPHz6EoqIiTExMmHG1xsbGEqN2uSYxMREeHh6IjIyEs7MzfvnlF7YjoWfPnrCyssKGDRsAAP7+/li4cCEnTr6q4/vE1IqKCojFYqxbtw5CoRBr167FzJkzmzT9kWo6LhW+Gtqem5+fD3t7e5w9e5YTWalPp3nz5rhz5069vXsePHiAnj17orCwUMrJJMnLy2PRokWYP3++xE0EWvj6b+Xn5yM2Npbp95WUlARdXV3O3ARpbGoqlzTWAoFLvwN8ympiYgIjIyN4eXnh4MGDcHNzg66uLg4dOsSJNgJVcnNzYWxsjKysLDg6OkoMuzl+/Dg0NTVx7dq1WhOV2SIUCtGpUyeMGzeuwUIyF3roOTk5oaCgACEhIXUenzx5MtTU1CAWi6WcrLbWrVvj3Llz9fbLTEhIwNixY/H69WspJ/tnFi5ciMzMTJw9e1Yq34+7V83/kSdPnjTpdVV9Eqi/Z8SIERgxYkSdx7jQsLC61NRUZGVlAaisit+7d6/WyTdXGgO2b98e06dPx/Tp0wFUjjGuOnEUi8Xw9PSEsrIy5wo2QOWdvNWrV+PEiROwtrZGSkoKZ1YnPXjwAE5OTszj6dOnY+7cucjKyoKmpiaLySSdO3cOmzZtYh4fO3YMjx8/RkZGBjMxdePGjZycmBoWFoaVK1fi9evX+P7777Fw4UI0a9aM7VgMFxcXbNu2DSoqKgCAI0eOYNKkSczjvLw8pkhDNV1FRUW9x1RVVREeHt7kz2Pqf+pbScdVcnJy+PDhQ73HP378CDk5OSkmqtvly5chFovRv39/GBgYYPr06Zg2bRrbseolEAiQn58PRUVFEEIgEAhQUFCA9+/fAwDzX65p3rw5NDQ0oKGhgZYtW0JeXh5paWlsx2LUvPfP9bUA1c9ja3rz5o2U0zSML1nT0tIQEBAAFRUVLFq0CCtWrMCuXbs4VfQCgJYtWyI+Ph4rV65EUFAQ8vLyAFTuaLG3t4eXlxdnil4AsGXLFvj7+yMkJAQODg5wdnaWmPTMJVeuXMH+/fvrPT5v3jy4uLhIMVH98vPzG+yZqKmpyalrw6VLl9b5/Lt373Djxg1kZmbi8uXLUssj8yu+6hujWXXiAFSeUJSVlUk7Gu9t27YNCxcuhJKSEoDKBtfGxsbMRW5+fj7c3d0bfDORlqrfg7p+3aueFwgEnLj7VJ/MzExERkYiOjoav//+O8rLy1FQUMB2LMabN2+wbt06HDx4EEOGDMGWLVs412CxrruQXJzqx7eJqQAQExMDd3d33LlzB4sXL4a7uzvTQJ5LGrvDz6U70adPn27w+MOHD7F06VJOZKU+Db4NujA3N8eQIUOYVbU1rVq1CrGxsYiOjpZusHoUFhbixIkTEIvFuH79OsrLy+Ht7Q1nZ2dm+xsX1DyXrX4OW/0x2+8FFRUVuHHjBrPV8cqVKygsLET79u2Z1erm5uacaS/Cpym/fDqP5VtWPuwIefLkCTp27Mj8/KpW9LRu3bpJ2+HZcvXqVYjFYgQHB0NfXx/Ozs6wt7fnVMN4FRUVpKam1rsI5smTJzA0NGR9pTIAGBgYwMvLCzY2NnUe//XXX/HDDz/g3r17Uk5WN3Nz8zqfV1NTg4GBAVxcXKT6eSDzK75u375d5/OEEAQFBWHPnj3MnX7q7/n+++8xa9YspvA1fvx4iQvIoqIiHDhwgBOFr4cPH7Id4W978OABc/IYFRWF/Px8DBo0CMOGDYOrqytnikqFhYX48ccf4e3tja5duyI8PByjRo1iO1a9fHx8JP7my8rK4O/vj1atWjHPLVq0iI1oDKFQKHHCeO3aNaxevZp5rK6ujtzcXDai1Wns2LH4888/4eTkhJMnT3Jq9VxNfLrDb2Vl1ehruHLC27JlyyZlycnJkUIaii3Lli2DlZUVSktLsWzZMubOdFZWFnbs2IFdu3bht99+YzklcP/+fXTt2hXNmzeHs7MznJ2dce/ePfj6+mLLli3w8PDAyJEjGy0+S0tUVBTbEZpEXV0dhYWFaNu2LczMzODt7Q1zc3POFRGqq7kb4O7du7VuKnJhNwCfzmP5lBXgx44QbW1t5qadQCDgzc0QExMTmJiYYPfu3QgJCcG+ffvg5uaGFy9ecKb4VVRUBEVFxXqPN2vWDCUlJVJMVL9p06Zh6dKl0NfXr7WC7s6dO3Bzc8PMmTNZSlcb1z67ZH7FV10uXrwIDw8PpKenY+nSpXBzc6PFr3+ATz0n1q9fDzc3N4keZFzWqVMnvH//HkOGDGFGgvfr148TW0RqqlpWu3DhQtjZ2dV78cv2SQMAdO7cudGLc4FAgAcPHkgpUd0GDhyIqVOnYunSpUhJSUGvXr1w//59aGtrA6hcXTVz5kw8evSI1ZxVhEIh5OXl0bx58wZ/vlwoevDpfYtPAgICmvQ6Lp2Q8YFQKERAQECjqycnTJggpUSN27t3L9zc3FBWVsbkfvfuHeTk5LBt2zYsWbKE3YCo/LlWrUKysLCQWIVUXl6O8PBwiMVizhS+Dh8+jGnTpnFq23hdDhw4AHNzc+jp6bEdpUn4tDKpMbm5uQgPD8eMGTPYjtIoLmVtqPcol34H+Lb6t6bY2FiIxWKEhISge/fuiIqKYhZOsK2xz9m8vDw4OTmx/jsAVA66Gj58OOLj4zFy5EgYGhoCqCzeXrx4EUZGRoiMjGywkMeWvLw83L9/HwoKCtDW1mZlVfVnVfi6efMmPDw8cPnyZcyZMwdr1qzh7RsIF/DpApJvfVI0NTVRWlqKoUOHMpOQvvrqK86s7qiu+klDzRNILp008AmfJqYC/Cp68Ol9y9nZGbt37+bUlqt/6uPHj3j58iXtp/k3NWUgBBffX589e4aQkBBkZGQAAPT09GBjY4OOHTuynKzS5cuXERMTg+joaFy9ehUlJSXQ0tKChYUFLCwsYGZmhvbt27Mdk8G3cxi+kKXJ71wadtIYLmXly+8AHwtfL168gL+/P/z9/fH+/Xs4OjrC2dmZk8NDmqKhXqbS9OHDB+zcuROBgYFIT08HUPkZa2trCwcHB3h6enKiEX+VR48ewdXVFREREcw1ory8PKytrbFr1y5mZXhpaeknv7nzWRS+7t+/jx9++AGhoaGYOnUqNm7cyMn9+3zDpwtIPn5g3L17l9nqGBMTg5KSEgwZMoQphPXr148TU/L4ctLAN3yZmMo3QqEQc+fOZX6e+/btg6OjI3Onr6ioCIcOHeLE+5YsXexy6UKHT/j42dUQLv4efPz4EVevXkV0dDSio6Nx7do1lJaWomvXrpzpkyJrvwfUf4+Lf1v14VLW4uJiuLm54eTJk/j48SNGjBiBPXv2SLS/4AKhUIiNGzc2ukOJ7VYdVcaOHYuoqCiMGjUKzs7OGDduHKcn0csKLv1tAZXD2QYMGACRSAQXFxcYGhqCEIK0tDT8/PPPkJeXx+3bt3Hp0iWkpaXB3d39k+aR+cKXi4sLfH19YW5uji1btqBPnz5sR5IZNd+E3d3dsXz5cubDIj8/H2vWrOHEH59QKMSrV6/QunVrtqP8Y2lpacxkx4iICAgEAmaqC9U0hw8fbtLruLD8nk+uX78usRW3ZuPl0tJSnDp1ClOnTmUrIsPMzKxJKye50JdAli52uXYyxheyVPwEKn8P+vbty5k759UVFxcjNjYWEREROHToEAoKCjjz+yoL5zBcJEuT3/n0HsulrMuXL8f+/fvh4OAARUVFBAYGwszMDCEhIWxHkyAUCtGhQ4cGW55woVVHFaFQiLZt2zI9yepz69YtKab6Z6q2vzel7yrbuPS3BVTuXMjMzERERESt7ZfFxcWwtLRkhqIEBQVh4sSJnzSPzBe+hEIhFBUVYWBg0ODr+PCHxzVN6ZcEcKPJpVAoRI8ePRq928DV34NXr15JNLrPyMhAs2bNUFxczHY0JCcnN+l1XOjxJRQKoaKiAnl5+XqbmgsEAtZ7UfFpYirAr0mJfCJLF7tcOxnji6YUPxMTE3lzU49LvwclJSWIi4tjbiglJCRAW1sbpqamTG9Nrmx3FAqFGDNmTKPbQMLCwqSUSDZULyJUnRNwcVpmU3Dpb6sxXMqqo6MDLy8v2NraAqi8kTd48GCUlJRwqq8u326ErVu3rkmv8/T0/MRJ/rm7d+9CLBYjICAAubm5+PDhA9uRGsWlvy0AaNeuHYKDgzFkyJA6j1+6dAlmZmbw8fGBs7PzJ88j82sOufwHxXcXL15E165d2Y7RZKNHj+bNEIPs7Gxm20VUVBTS09MhEolgZGQEW1tbmJubw8TEhO2YAIA+ffrU2xy2CldOHA0NDfHq1SumzwAXinF14dPEVKBpkxJl/B7LJ6Onp9foDQa2C7XUpzNz5sw6GwC/e/cOx44dg4+PD5KSkjjx/sonpqamSEhIgI6ODoYNG4aFCxfC1NSU6TXCRaqqqpxpBi0rBAIBOnTogFmzZuHrr7/m9FasPXv2NHj8+fPnUkrSOD5lffr0KYYOHco8NjIygry8PF68eMGZnoQAdyY4NxVfr78LCwtx4sQJ+Pr64tq1azA3N4eXlxcvVntx0du3b9G5c+d6j3fp0gXy8vJSKXoBtPBF/Qt6enr1TkXiouXLl/PmTommpiZEIhH69+8PGxsbmJmZYfDgwZw86eXCir6mSklJQXx8PMRiMYYNG4auXbti9uzZcHBw4MxYZaBphSS+4cpJ29KlS5v0Om9v70+cpGnWrVvX6EQ/Lmhs5SdXeiXxjZ+fn8TjyMhIiMVihIWFoVOnTrCxsYGvry9L6Wp7//59g8fz8/OllKRhcXFxaNu2LczNzWFmZoZhw4ZxrqdPTXv27OHNOQxfPHv2DAEBAfD398cvv/wCR0dHzJ49m5mUxiU7d+5s9DVc2ZLJp6zl5eVQUFCQeE5eXh5lZWUsJaqbLJwHctnVq1fh4+OD4OBg6OrqwsHBAfHx8dizZw+nmvFbW1s3eJxrLXDatWuHlJQUdOjQoc7jf/31F9q1aye1PDJf+KI+nZiYGGYqkqurq8RUJHNzc5ibm3Nmm0BjF91Pnz7l1BSMc+fOYciQIWjevDnbURr15Zdf8qIxaBVjY2MYGxtj165dCAkJgZ+fH9zc3GBlZQWxWMz5cfHUv3P79m2Jx7GxsejXr59EUZkrRToAsLW15cXFbkMrP6tPd6X+vmfPnsHf3x9isRiFhYWYOnUqPn78iNDQUE6dkAOAurp6g/+fufJ7kJeXh8uXLyM6Ohpbt26FnZ0d9PT0mKEhpqamnNpizIWfmSzS1NSEu7s73N3dERsbCz8/PxgbG6Nbt26YPXs2Zs+ezYkhQgC/bjLyKSshBLNmzZI49yspKcG8efMkzsHZ3kbs6enJm10rANC3b98mvW9xocVMt27dUFRUBHt7e8THxzOfqx4eHiwnq62xG6EtWrTgVJ/iiRMnYvny5fjqq69qfaZmZ2fD3d1dqqvpZL7Hl7m5eaN/eAKBAH/++aeUEskmrk9FamxvPNf2RGdnZzd4sVtWVoZbt27ByMhIiqnqxpfGoPW5dOkSPD09cenSJbx58wYtW7ZkOxKvJqYClXkjIyOhoaEBABg0aBCCg4OZOzxv3rzByJEjOZO3upo/Wy7hU2NzOt310xg7dixiY2Mxfvx4ODg4wNLSEnJychCJREhKSuJc4SsmJqZJrzM1Nf3ESf6e/Px8xMbGMv2+kpKSoKuri7/++ovtaAD419+Hz169egU7OzvExMTg9evXzOcaJZucnJya9Lqaq2+ljW+9X5vS4+vdu3ecWF2voKAAW1tbTJ8+HSNGjGDqBlz9nOWT3NxcGBsbIysrC46OjkzP9dTUVBw/fhyampq4du2a1N5nZX7FV0MNX9+/f4/AwECUlpZKL5CMEolEGDZsGAYMGAATExNmKtL9+/fZjgag8u4Tl+7eNqZt27YSF7yGhoaIiIhgloa/ffsWJiYmnCgkhIWFwdfXl2kM6ujoiMGDB6O8vJxTjUGre/78OQICAuDn54fCwkI4Ojri559/5kTRq4qPjw9zd6+srAz+/v4SE1O5xsLCQuLx+PHjAdDVPv8Gn+5L0YLWp/HHH39g0aJFmD9/PnR1ddmO0yiuFbSaqnnz5tDQ0ICGhgZatmwJeXl5pKWlsR2LERUVRQswn1hcXBzEYjFCQkKgr6+Pffv2QV1dne1YjLFjxyIwMJBZ8eHl5QVXV1cm49u3bzF06FCkpqaymLISn7KyXdBqKr71fm3evDnc3NzqPf7+/XuMGjVKionq9/DhQ/j7+2P+/PkoLi6GnZ0dHBwc6Hnrf6Bly5aIj4/HypUrERQUxGzFVFdXh729Pby8vKT62SbzK77qUlZWhn379sHLywstWrTAhg0bmIt26u/h01SkhnBtxVdTVvy0bduWEyPhFRQU8PDhQ4n/z0pKSkhPT+dUY1AACA4Ohp+fH2JiYjB69Gg4OTlh3LhxnCvQ8WliKsDv1T5cXvFVn8ePH6OwsBAGBgac2YbDt7vRfHH16lWIxWIEBwfDwMAA06dPx7Rp09CuXTtO34l+/vw5QkNDkZ6eDoFAAD09PVhbW3PmfKBqfHrVAJkrV66gsLCQ6Vta9cWV96z4+Hjk5ORgzJgxzHOHDx+Gp6cnCgsLYWVlhb1799Kt+n/Ty5cvcfjwYfj5+SE3NxcODg6YPXs2unfvzna0Wvg0PZlPWfmCbzsBlJSUsH///jpX1BUUFGDUqFHIy8vjRPGzuup9NEtKSuDm5oY5c+ZAT0+P7Wi8RwjB69evAQCtW7dmrnNev34ttcUpn13h69ixY1izZg2Ki4uxatUqzJ07l9NTXLis5lQkU1NTzk9Fqg8fC19c+YCTk5NDVlaWxJuWqqoqkpOToa2tzWKy2oRCIbS0tODg4NDg7+miRYukmKq2+/fv82pianFxMa/6vFXH5cJX1QjtJUuWMM/NnTuXaWaur6+PiIgIThSY6YXOp1U1aUosFuP69esoLy+Ht7c3nJ2doaqqynY8Cfv378fSpUvx4cMHtGjRAoQQvH//HgoKCvD29oaLiwvbEaGmpobCwkK0bdsWZmZmMDMzg7m5OXR0dNiOVqcxY8bAzMwM7u7uAIA7d+7gq6++wqxZs2BoaIjt27fj22+/xdq1a9kNyjMKCgpo164dZs6ciQkTJkAkEtX5Oi5MgObTeSGfsvIF336mv/76KxwdHREUFCTRw6mq6PX27VvExMRAU1OTvZANqJqcLBaLcevWLfTo0aPRIT5U0xFCcO7cOfj4+ODMmTNS23332VR8zp8/Dw8PDzx8+BBubm5YunQpLxqHcxmfpiLxbQoGn/ClMShQOUVIIBDg+PHj9b5GIBCwXvji28TUNWvWwN/fX6LP2/z58znZ563miQshBHfv3kVBQYHE81y40Pnll18wd+5c5vH58+fh5+eHw4cPw9DQEAsWLMC6devg4+PDYspKsjiJlAuqiuDNmzeHs7MznJ2dce/ePfj6+mLLli3w8PDAyJEjcfr0abajAgDOnDmDRYsWYcmSJVi2bBnatm0LoHJlzfbt27F48WJ07twZY8eOZTXn9u3bYW5uzpu7+ImJidiwYQPzOCgoCMbGxjh06BAAoGPHjvD09KSFr7+prKwMT548wYYNG7Bx40YAtd+7BAIBZ4oJFMUXkydPRl5eHuzt7XHmzBmYm5ujoKAAlpaWePPmDaeLXkBlk3gXFxe4uLjg0qVL2LFjB9uRZMKDBw8gFosREBCAgoICjBs3DkFBQVL7/jJf+Lp+/Trc3d1x7do1zJs3DxcvXuRscYZv+DQViW9TMAQCAfLz86GoqMj0RyooKGBGxTc2Ml6aZs6cWes5R0dHFpI07tGjR2xHaBI+TUwF+NXnra7pg3X1I+PChU56ejr69+/PPD516hQmTJgABwcHAMCmTZua3JiX4qe6iuD6+vrYtm0bNm/ejPDwcM5MIwYqt7x6eHgwRYQqbdu2hbe3N5SVlbF161bWC1/ffvstq9//78rNzZVYpRwTEwNLS0vm8YABA/D06VM2ovEaV9oFNIVAIKjVAoGrPYj4lJVP+Nb7dc6cOcjJyYGVlRVOnTqF1atXIysrCzExMcxNET5o0aIFfv/9d7Zj8FZJSQl+/fVX+Pj44Nq1axg5ciRevnyJxMRE9OjRQ6pZZH6ro1AohJKSEr799lt07ty53texvcJDFnB9KhKfCIVCiZOEms3BuXRxzid8arhahesTUwF+9XnjUz8yZWVlpKWlMVl69+4NZ2dnLF68GADw5MkT6Ovro7i4mM2YAPi3DYMvLl++zBTBr169KlEEt7CwgJmZGaeK4GpqakhISIC+vn6dx+/du4f+/ftz8iKNyzp16oQjR45g2LBh+PDhA9TV1REeHo7hw4cDqNz6aGpqipycHJaTUp+KUCjEmDFjmNX14eHhsLCwYFbWl5aW4vz585x4j+VTVr7gW+/X6r7//nts27YNnTt3RkxMDDPxmy+41g6HT1xcXBAUFAR9fX04OjrC1tYWX3zxBWsTM2V+xVfV1qbffvut3tdwYWuTLOD6VKT6VFRU4MyZM/D19cXJkyfZjgOgcoIT9d87f/68xD7yqpWKVYWvsrIyzhSTqnB9YioAlJeXQ0FBQeI5eXl5lJWVsZSofgEBAXBzc4OysjLbURrVqVMn3Lx5E506dcKbN2+QkpKCIUOGMMezsrIaXc0qTXy7G80HQ4cOxdChQ7Fq1apaRfBvvvmGc0XwioqKevskAZXvZzJ+v/WTsLS0hIeHB7Zu3YqTJ09CWVkZQ4cOZY4nJydztj8Zl/FpKMeMGTMkCh91raznys4FPmXlC77sWKhSs8WMSCRCq1atal1vc6ENCvXpHDx4EO7u7vDw8OBEP1KZX/FFfTp8m4pUU0ZGBrPPODc3F6NHj+ZM4Yv6NPi0KoVPE1Nr3t0Fat/hBbhxglOzCTuXbd68GXv27IGLiwsiIyPx+vVriRW0u3btwu+//46LFy+ymLISn+9G801xcTFiY2OZInhBQQEn3rMAwNjYGLa2tvjuu+/qPO7t7Y0TJ04gPj5eysn47fXr17C2tsaVK1egoqKCgIAATJo0iTk+fPhwDBw4EF5eXiym5B86lIOSFU+fPoWnpydntr43tQ2Dn5/fJ07y79EVX//c8ePH4efnh6tXr2LcuHGYPn06LC0toaSkRFd8seHt27c4cuSIxNQsqmnU1dUlpiJ5e3tzeioSUHnBEBwcDF9fX1y7dg3l5eXYuXMnnJ2dmZUKXFBzq2NdBAIBJ1fUUP9ezYmpCxcu5PTEVD71eePTvR53d3cUFRUhLCwMmpqatYYFXLlyhemrxja+3Y3mk4aK4D///DNMTU3ZjshwcXHB/Pnz0axZM4mp2WVlZThw4ABWrVrFidUzfNO6dWtcvnwZ7969g4qKSq3eiSEhIZw6h+ELPg3lsLKywpw5czB27FgIhUK24zSIT1llRU5ODgICAjhT+OJDQasKHYD26djb28Pe3h6PHj2Cn58fXF1dUVRUhIqKCqSmpkq98PVZrvgihOCPP/6Ar68vTp06BTU1Nbx+/ZrtWLxz4MAB3kxFun79Onx8fHDixAno6ekx+4w7dOjASsW5MadOnar3WFxcHPbu3QtCCCd6+/CJnJwcsrKymKELqqqqSE5Ohra2NgDu3N0ViURo27YtrKysOD8xlW+EQiFevXrFmcEb/1ZZWRlTXGCThYUFwsLCmG3D1H+jZhHc1NSU00VwAHBzc4O3tzdUVVWZG2GZmZkoKCjAokWLsHPnTpYTUlQlPq0CHz16NP788098+eWXmDVrFpycnKCrq8t2rDrxKausoKuS/jlZWp3GdYQQREREQCwW4/Tp02jVqhWsra2xZ88eqXz/z6rw9ejRI4jFYvj7++P58+dwcHDAjBkzYG5uzrnJY9R/S15eHgsXLsS8efMkmu6y1Vzvn7h79y6+//57hIeHw8HBARs2bICWlhbbsXiFLw1XCwsLmYmpUVFRSExM5OzEVL4RCoXo0aNHo8WiW7duSSnRP5OamgpfX18cPXoUr169YjtOrQtI6r/B1yJ4fHw8AgMDkZ6eDqByOqWtrS0GDhzIcjJ+Mjc3r3MVeIsWLaCvrw9XV1fODRLhAz4VvgDg2bNn8PPzQ0BAAB4+fIjBgwdjzpw5mDJlCtOnjCv4lFUW0MIXxTc5OTk4fPgw/Pz8kJSUJJXvKfOFr9LSUoSFhcHHxwdxcXEYM2YM7O3tYWdnx5uCB/XvjRo1CteuXcPXX3+N6dOnY/To0RAIBLwofL148QKenp4ICAjA6NGjsXnzZqmPf5UVfL2rQyem/neEQiGWLVvW6LYgT09PKSVquoKCAgQFBcHX1xcJCQkYOHAgbGxs6u2nJE208PVp8K0IXlRUhOXLl+PkyZP4+PEjhg8fjr179/KiWMdl9f2N5+Xl4ebNm3jw4AFiY2PRp08f6QbjOaFQiI0bNzKfB+7u7li+fLnEUI41a9ZwspgQFRUFsViM3377DXJycrC1tYWzszOMjY3ZjlYLn7LyFS18UVTjZL7w1apVK3Tr1g2Ojo6YMmUKWrZsCYBfK32o/8bTp0/h5+cHPz8/FBcXY9q0adi/fz+Sk5NhaGjIdrxa3r17h02bNmHv3r3o06cPtm7dKjHFifp8VFRUICEhAVFRUYiKikJsbCxKSkroCc4/wMcCTWxsLHx8fBAaGgptbW2kpqYiJiYGgwcPZjsaQygUIiMjo9EijJqampQSySauF8GXL1+O/fv3w8HBAUpKSjh+/DjMzMxq9aej/luurq54+PAhzp49y3YUXpGFoRz5+fk4fvw4Vq5ciXfv3nG69yufsnJNU/pQxcTE0PNCilPWr1/f6GsEAgFWr14thTSfQXP78vJyCAQCCAQCup3xM9exY0esWbMGa9aswYULFyAWiyEvL4+JEydi8uTJmDx5Mr766iu2YwKoHLG9detWaGpqIjAwEBMnTmQ7EiVFjU1M3bdvH8zNzdmOyUtNucjhim3btkEsFqOgoAB2dnaIjY1F7969IRKJmJs4XNJQv0dCCAQCAT0p/5eaN28ODQ0NaGhooGXLlpCXl0daWhrbsRhhYWHw9fVlhi44ODhg8ODBKC8vp+dgn9C3336L0aNHsx2Dd/g+lOPBgwfw9/eHv78/3r17hxEjRrAdqV58yspFLVq0aPT4jBkzpJSGoppm7dq1aNeuHb788st6h4dIs/Al8yu+SkpKEBoaykzxGzNmDBwdHTFt2jQkJibSFV+fudzcXBw9ehRisRjJycmcuSgTCoVQUlLCiBEjGrxYCAsLk2IqSlrU1NQkJqaamZlxfmIqX/BpxZe8vDzc3d2xfv16ifcBLq5YFgqFCA0NhYaGRoOv49IEQj5orAhe9dWpUye2owIAFBQU8PDhQ7Rv3555TklJCenp6bQH1SeUkZEBIyMj5Obmsh2F+sSKi4sREhICPz8/XLp0CVpaWnBycoKTkxPn/sb4lJWiqP/e2LFjERUVhdGjR8PZ2Rnjxo1j9SaYzBe+qsvMzGQaLT5//hx2dnaYNWsWLCws6J1ICrdu3eLMiq9Zs2Y1aWUK13pRUf8NPk1M5ZvHjx9DS0uLFyu/Nm3aBH9/f5SUlMDOzg7Tp09Hjx49OFv44ktBkU/4VgSvOTkXqD09l/rv7du3D4cPH0Z8fDzbUXinrKwMO3fuZIYxCAQC6Orqwt7eHosXL4ZIJGI7IoDKid5+fn4IDg7Ghw8fYGVlhdmzZ3Ny5RSfssqSX3/9FZMnT2Y7BkVJePnyJbPa8/3795gxYwacnZ0lhs1Jy2dV+KpSUVGBiIgI+Pr6Ijw8HKqqqnjz5g3bsSiWVK368vX1RWJiIttxKIr6hJydnet8vmo6mqOjY6ON76UtJiYGYrEYoaGh0NHRQUpKCid7fNHC13+Pb0XwmpNzgdrTcwG6WvnvOn36dJ3Pv3v3DgkJCfD19YW/vz+mTJki5WT8VlxcjJEjR+Lq1asYMWIEDA0NQQjB3bt3cfHiRQwePBh//PEHFBUV2Y4KoVCI3r17Y/bs2XBwcODkdvcqfMrKJ2VlZbh37x5EIpHEZ8KpU6ewZs0a3L17F6WlpSwmpKiGXbp0CX5+fggNDUXPnj1x8eJFqU55/SwLX9W9fv0aR44cwdKlS9mOQknZxYsX4evri5MnT6JVq1awtrbG7t272Y5FUdQnNGnSpDqfz8vLQ0pKCkQiES5fvsyMs+eS/Px8HDt2DH5+frh58yaMjIwwefJkTnx+aWtr48aNG/jiiy/qPF5SUoKffvoJbm5uUk5GSRNfJ+dynVAorPN5VVVVGBgYwM3NjRa9/oE1a9YgICAA4eHh6NWrl8SxpKQkTJgwAU5OTli7di07Aavh0q6ExvApK1+kpqZi/PjxePz4MQBg4sSJ+PnnnzF16lQkJSVhzpw5WLx4Md1CSnFa1fbnffv24c6dO8jKypLq0KPPvvBFfV6ePHnCTHYsKChAbm4ugoODYWNjw3Y0iqJYVlxcjBkzZkAgECA4OJjtOA26c+cOfH19cfz4cWRnZ7MdBwDw5s0bxMfHQyQSYfjw4ZCTk8PHjx+xf/9+bN68GWVlZXR1NUV9Is+fP5forUY1Tk9PD5s3b673HDAkJAQ//PAD0tPTpZystuTk5Ca9rmYBjw18ysoXEyZMQGFhIb777jscO3YMJ06cQNeuXeHo6IjvvvsOqqqqbEekqHpdvXoVYrEYwcHB0NPTg5OTE+zt7aGuri7VHDJf+GrZsmWTernk5ORIIQ3FluDgYPj4+ODKlSsYO3YsHB0dMWbMGDRv3pxzvXIoimLPjRs3YG1tjSdPnrAdBWPHjkVgYCAzzcnLywuurq7MicLbt29hbGyM+/fvs5iyUlxcHMaPH4+8vDwIBAL0798ffn5+sLKyQkVFBZYsWQJnZ2coKyuzHZWiZEpWVha8vLzg4+OD4uJituPwiqKiIjIyMupdJfP06VPo6uqipKREyslqEwqFEAgEzGS0qmubqom5XJqcy6esfKGpqYmzZ8/iq6++Ql5eHjQ0NHDgwAF88803bEejqHpt27YNfn5+ePv2LRwcHODs7IyePXuylkeete8sJbt27WL+TQjB/PnzsX79etqH5DNjb2+PFStWIDQ0lN4VoSiqXhoaGsjLy2M7BgAgIiJCol/H1q1bYWdnxxS+ysrK8PDhQ5bSSVq9ejVGjRqFVatWQSwWY9euXRg/fjzWrl2L6dOn82KYAEVxVV5eHlxdXfHHH39AJBLBw8MDCxYswNq1a/Hjjz+ie/fuEIvFbMfkHTU1NWRnZ9db+JL2NpyGVH+vJ4SgR48eOHv2LGcmulbHp6x8kZ2dzazoVFdXh7KyMp2STHGeh4cHtLS0MHXqVAgEgnrbHHh7e0slj8yv+KpJVVUVSUlJnOzfQn06c+fORXBwMLp3747p06dj2rRpaNmyJSeno1EUxZ6jR49ix44duH37NttRajWMr/n59erVK7Rr144Td81btWqFmJgYdO/eHUVFRVBVVUVQUBDtO0RR/wEXFxeEh4dj2rRpOH/+PNLS0jB69GiUlJTA09OTXgD/Q9OmTUNZWRlCQ0PrPG5jYwM5OTlObn3n0/UMn7JyVc2JuWpqakhKSqLTcilOMzMza9KNz6ioKCmk+QxWfFEUABw8eBC7d+9GcHAwxGIxlixZgtGjR4MQgoqKCrbjURQlJfX1HqmajrZp0yZs3LhRyqn4LycnhzkhV1ZWhrKyMvr27ctyKoqSDWfOnIGfnx9GjBgBFxcXdO3aFXp6ehK7Gqi/z9PTE8bGxhg4cCCWLl0KAwMDAJWNxHfu3InU1FRcu3aN5ZQUVblyTk9PjykiFBQUoG/fvrUGX9DWPRSXREdHsx1BAi18UZ+FxMRE9OnTBzNnzsTMmTORkZEBX19f3LhxA4MHD8a4ceMwefJkWFtbsx2VoqhPqE+fPhK9R6pr3bo13N3dMW/ePBaS1SYQCGrdKePqlkGBQID8/HwoKioy/VuKiorw/v17iddxZdsQRfHJixcvmJXpXbp0gaKiIubMmcNyKv7r1q0bLly4gNmzZ8PW1laiF5WBgQEiIiLQvXt3llNSFJ2ES8mmqkFN0rqJQ7c6Up8FoVCIvn37Ys6cOXBwcGAuvioqKnDmzBn4+vri3LlzEv10KIqSPVWjwGtq0aKF1KfLNEYoFGLMmDFo1qwZACA8PBwWFhZo3rw5AKC0tBTnz5/nxFbHqmbGVaqKXzUfcyErRfFNzW1OqqqqSE5Optuc/kOJiYnM9EY9PT306dMHhYWFuHnzJoYNG8Zyutr49DvAp6x8VlZWBnl5uqaF4rb3798jMDCQWYDSq1cvJCYmSuV7y3zha+nSpRKP9+3bB0dHR2ZKVhVpNVWj2FF9jOrHjx9hbW2N2bNnw9zcnHlNdnY2HXpAURRnODk5Nel1XLgTHBMT06TX0V5EFPX3NVYErxIWFsZGPJmVlJSEr776ihMF+759+0rcTEhOToaBgQEUFBQkXnfr1i1pR6uFT1llQWpqKnx9fXH06FG8evWK7TgUVaeYmBj4+voiNDQUJSUlWL58OebMmYOuXbtKLYPMF76qFzbqIxAIEBkZKYU0FNuKi4sRHBwMPz8/XL58GZ07d4azszNmzpyJDh06sB2PoigpCQkJQWBgINLT0yEQCKCrqwt7e3tMnjyZ7WgURVES+FQElyVcKnytW7euSa/z9PT8xEkax6esfFVQUICgoCD4+voiISEBAwcOhI2NDb777ju2o1EU4+XLl/Dz84NYLEZhYSHs7Oxgb28PExMTVobLyXzhi6Lqk5mZCT8/Pxw+fBgvX77EyJEjcfbsWbZjURT1CVVUVMDOzg4hISHQ09ODgYEBCCG4e/cu7t+/jylTpiAwMJCzvbS47vnz5wgNDWUKinp6erC2tmbGsFMURfEFlwpfFAUAsbGx8PHxQWhoKLS1tZGamoqYmBgMHjyY7WgUVYuioiKmTJkCR0dHjBw5khnGIBKJWCl8fXYbgd+8eQOBQIAvvviC7SgUy3R0dODh4YGOHTti5cqViIiIYDsSRVGf2K5du3Dx4kWcPn0a48ePlzh2+vRpODk5Yffu3ViyZAk7AXls//79WLp0KT58+IAWLVqAEIL3799j+fLl8Pb2houLC9sRKYqiKIp3tm3bBrFYjIKCAtjZ2SE2Nha9e/eGSCRCy5Yt2Y5HUXXq1KkTYmNjoaWlhU6dOjGTc9kibPwl/JeXlwdXV1e0atUKbdq0wZdffolWrVphwYIFyMvLYzsexYKYmBjMnDkTmpqaWLFiBaytrXHlyhW2Y1EU9Yn5+/tj+/bttYpeADBhwgRs27YNvr6+LCTjtzNnzmDRokVYsGABnj9/jtzcXOTl5eH58+dwcXHB4sWL6YpaiqI45fTp0w1+RUdHsx2RkZmZCWdnZ+axlpYWNDQ0mK/WrVvj3r17LCb8Hz5l5YuVK1fCxsYGjx8/xvbt29G7d2+2I1FUo+7du4ejR4/i5cuXGDBgAPr164edO3cCYGdKucxvdczJyYGJiQmeP38OBwcHGBoaghCCtLQ0HD9+HB07dkRcXBytln8Gnj59Cn9/f/j7++Phw4cYNGgQZs+ejalTp9ZqEEtRlGxSUlLCvXv3oKWlVefxx48fw8DAAMXFxVJOxm+mpqYYOnQoNm7cWOfxVatW4fLly01ugk9RFPWpVW27aQhXptEuWbIEysrK2LRpE4DKSYlr1qxhhjKdOHECWlpa+OWXX9iMCYBfWfli06ZN8Pf3R0lJCezs7DB9+nT06NGDtS1jFPV3FRQUIDAwEGKxGPHx8TA1NYW9vT2srKyYicWfmswXvpYsWYI///wTFy9eRJs2bSSOZWVlYdSoURg+fDhTfaRk08iRIxEVFYXWrVtjxowZcHZ2hr6+PtuxKIqSMg0NDURHR6NXr151Hr9z5w5MTU2Rk5Mj5WT8pqamhoSEhHrfV+/du4f+/fsjPz9fyskoiqL4r0ePHti7dy8ztEtVVRVJSUno0qULgMqdDHPmzEFGRgabMQHwKyvfxMTEQCwWIzQ0FDo6OkhJSaE9vijeqT6JNCcnBx8/fpTK95X5rY4nT57Ejz/+WKvoBQCamprYtm0bfvvtNxaSUdKkpKSE0NBQPHv2DFu3bqVFL4r6TJmYmODnn3+u9/i+fftgYmIixUSyoaKiAiKRqN7jIpEIMn6fjaIonnr79i3z76dPn2LNmjVYsWIFLl++zGIqSY8fP4a2tjbzeM6cOWjRogXzuHPnznj27Bkb0WrhU1a+MTU1RUBAAF6+fIn58+ejX79+MDU1xaBBg+Dt7c12PIpqkm7dumHHjh14/vw5Tpw4IbXvK/Mrvpo1a4bMzEx06NChzuPPnj1D165dUVJSIuVkFEVRlLTFxcXBzMwMVlZWcHNzY6Y6pqWlYceOHTh16hSioqLo3dO/ydjYGLa2tvWOUvf29saJEycQHx8v5WQURVF1u3PnDr7++ms8ffoUurq6CAoKgqWlJQoLCyEUClFYWIhff/0VVlZWbEdFixYtcOHCBRgZGdV5/Pr16xgxYgTev38v5WS18SmrLPjrr7/g6+uLY8eOITs7m+04FMUQCoWN9vISCAQoKyuTSh6Zn+rYqlUrPHr0qN7C18OHD+mER4qiqM/EoEGDcOLECcydOxehoaHM84QQaGhoIDAwkBa9/gEXFxfMnz8fzZo1w9y5cyEvX3l6UVZWhgMHDmDVqlXYv38/yykpiqL+Z8WKFejZsyeOHj2Ko0ePYvz48Rg7dix8fHwAAAsXLsSWLVs4Ufjq3r07Ll68WG8xKSIiAj169JByqrrxKStfREZGYsGCBbh27RrU1NQkjnXs2BERERE4fvw4S+koqm4N7aqLi4vD3r17pZjmM1jxNXv2bNy/fx8XLlyAgoKCxLHS0lKMHj0aOjo6dIoXRVHUZ6SoqAgRERFMjxF9fX2MGjUKSkpKLCfjLzc3N3h7e0NVVRU6OjoAKqd7FRQUYNGiRbSXJkVRnNKqVStERkaiV69eKCgogJqaGq5fv47+/fsDAO7evYuBAwdyYgL8oUOHsGTJEgQHB2PcuHESx8LDw2Fra4tdu3bhm2++YSnh//ApK19MmDAB5ubm9a6q3rNnD6Kiomj7Horz7t69i++//x7h4eFwcHDAhg0b6h049V+T+cLXs2fP0L9/fzRr1gyurq4wMDAAUNlUbf/+/SgtLcWNGzfQsWNHlpNSFEVRn1p8fDxycnIwZswY5rmAgACsXbsWhYWFsLKywt69e9GsWTMWU/JXfHw8AgMDkZ6eDgDQ09ODra0tBg4cyHIyiqIoSUKhEFlZWcy0wZpN2F+9eoV27dpxYqojANjZ2eHEiRMwMDCAvr4+BAIB7t69i3v37sHGxgbBwcFsR2TwKSsfdOrUCefPn4ehoWGdx+/evYtRo0bhyZMnUk5GUU3z4sULeHp6IiAgAKNHj8bmzZulvvJT5rc6dujQAXFxcXB1dcX333/PNNcVCAQYOXIkfvrpJ1r0oiiK+kysXbsWZmZmTOHrzp07+OabbzBz5kwYGhpi+/btaNeuHdauXctuUJ4pKirC8uXLcfLkSXz8+BHDhw/H3r170apVK7ajURRF1atm/5nG+tGwKTAwEBMnTkRQUBDu3bsHANDV1cWaNWtga2vLcjpJfMrKB69evWpwgIy8vDxev34txUQU1TTv3r3Dpk2bsHfvXvTp0wd//vknhg4dykoWmV/xVV1ubi6zraVr167Q0NBgORFFURQlTW3btkV4eDizleWHH35ATEwMYmNjAQAhISHw9PREamoqmzF5Z/ny5di/fz8cHBygpKSE48ePw8zMDCEhIWxHoyiKqpNQKMSYMWOYFb7h4eGwsLBA8+bNAVS2RDl//jxnVnxRny8dHR38+OOPmDRpUp3Hw8LC4ObmhgcPHkg5GUXVb9u2bdi6dSs0NTWxadMmTJw4kdU8Ml/4sra2bvQ18vLy0NTUxMiRI/H1119LIRVFURTFBkVFRWRkZDArfYcMGQJLS0usWrUKAPDo0SP07NkT+fn5bMbkHR0dHXh5eTF38q9fv47BgwejpKQEcnJyLKejKIqqzcnJqUmv8/Pz+8RJGtfUCYg1G5+zgU9Z+WLhwoWIjo5GQkICFBUVJY4VFxfDyMgI5ubm2LNnD0sJKao2oVAIJSUljBgxosFzwbCwMKnkkfnCV1M+1CoqKpCdnY2YmBi4ublh/fr1UkhGURRFSVunTp1w5MgRDBs2DB8+fIC6ujrCw8MxfPhwAJVbH01NTZGTk8NyUn5RUFDAw4cP0b59e+Y5JSUlpKen03YCFEVR/5JQKGxwGyYhBAKBgBOr0/iUlS9evXqFr776CnJycliwYAHTNy0tLQ379u1DeXk5bt26hTZt2rAdlaIYs2bNatL2cWndXJD5Hl9/5wd55swZzJ8/nxa+KIqiZJSlpSU8PDywdetWnDx5EsrKyhK9BpKTk5mJhFTTlZeX15qcLC8vj7KyMpYSURRFyY7IyEhO9x+rjk9Z+aJNmzaIi4vD/Pnza/WsHj16NPbv30+LXhTn+Pv7sx1Bgsyv+Po78vLy4OzsLLXldhRFUZR0vX79GtbW1rhy5QpUVFQQEBAg0TNj+PDhGDhwILy8vFhMyT81e+UAtfvlANJbzk5RFCVL+LR9kE9Z+Sg3Nxf3798HIQS6urpo2bIl25Eoihdo4YuiKIr67Lx79w4qKiq1eg7k5ORARUWl1uolqmF86pVDURTFN41tH6zChe2DfMpKUdTngxa+KIqiKIqiKIqiOComJob5NyEEY8eOhY+Pj0RfRQAwNTWVdrRa+JSVoqjPBy18URRFURRFURRF8YSqqiqSkpLQpUsXtqM0ik9ZKYqSXUK2A1AURVEURVEURVEURVHUp0ALXxRFURRFURRFURRFUZRMooUviqIoiqIoiqIoHmlKA3mu4FNWiqJkkzzbASiKoiiKoiiKoqi6WVtbSzwuKSnBvHnz0Lx5c4nnw8LCpBmrTnzKSlHU54MWviiKoiiKoiiKojiqRYsWEo8dHR1ZStI4PmWlKOrzQac6UhRFURRFURRFURRFUTKJ9viiKIqiKIqiKIqiKIqiZBItfFEURVEURVEURVEURVEyiRa+KIqiKIqiKIqiKIqiKJlEC18URVEURVEURVEURVGUTKKFL4qiKIqiKIqiKIqiKEom0cIXRVEURVEURVEURVEUJZNo4YuiKIqiKIqiKIqiKIqSSbTwRVEURVEURVEURVEURcmk/wO26YCyqiu0lwAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df1 = era5_pu.sel({\"time\":\"2012\", \"intra_region\":\"all\"}).mean(\"time\").to_series()\n", + "df1.index = df1.index.str.upper().str.replace(\" \", \"\")\n", + "\n", + "df2 = wasa_pu.sel({\"time\":\"2012\", \"intra_region\":\"all\"}).mean(\"time\").to_series()\n", + "df2.index = df1.index.str.upper().str.replace(\" \", \"\")\n", + "\n", + "data = csir_wind_data.loc[\"2012\"].mean().to_frame('CSIR')\n", + "data.index = data.index.str.upper().str.replace(\" \", \"\")\n", + "\n", + "data[\"WASA\"] = 0\n", + "for idx in df1.index:\n", + " data.loc[idx, 'era5'] = df1.loc[idx]\n", + " data.loc[idx, 'WASA'] = df2.loc[idx]\n", + "\n", + "data.plot(kind='bar', figsize=(15, 5), title=\"Wind power profiles for 2012\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df1 = era5_pu.sel({\"time\":\"2013\", \"intra_region\":\"all\"}).mean(\"time\").to_series()\n", + "df1.index = df1.index.str.upper().str.replace(\" \", \"\")\n", + "\n", + "df2 = wasa_pu.sel({\"time\":\"2013\", \"intra_region\":\"all\"}).mean(\"time\").to_series()\n", + "df2.index = df1.index.str.upper().str.replace(\" \", \"\")\n", + "\n", + "data = csir_wind_data.loc[\"2013\"].mean().to_frame('CSIR')\n", + "data.index = data.index.str.upper().str.replace(\" \", \"\")\n", + "\n", + "data[\"WASA\"] = 0\n", + "for idx in df1.index:\n", + " data.loc[idx, 'era5'] = df1.loc[idx]\n", + " data.loc[idx, 'WASA'] = df2.loc[idx]\n", + "\n", + "data.plot(kind='bar', figsize=(15, 5), title=\"Wind power profiles for 2013\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "csir_solar_pv_data = pd.read_excel(\n", + " f'{data_bundle_path}/Supply area normalised power feed-in for PV.xlsx',\n", + " sheet_name='PV profiles',\n", + " index_col=0,\n", + " skiprows=[1]\n", + ").resample('H').mean()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "solar_pv_era5_pu = xr.open_dataarray(\"timeseries_data/extendable_solar_pv_era5_27_2012.nc\")\n", + "solar_pv_sarah_pu = xr.open_dataarray(\"timeseries_data/extendable_solar_pv_sarah_27_2012.nc\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df1_ft = solar_pv_era5_pu.sel({\"time\":\"2012\", \"intra_region\":\"all\", \"_type\": \"Fixed Tilt\"}).mean(\"time\").to_series()\n", + "df1_ft.index = df1_ft.index.str.upper().str.replace(\" \", \"\")\n", + "\n", + "df1_rf = solar_pv_era5_pu.sel({\"time\":\"2012\", \"intra_region\":\"all\", \"_type\": \"Rooftop\"}).mean(\"time\").to_series()\n", + "df1_rf.index = df1_rf.index.str.upper().str.replace(\" \", \"\")\n", + "df1 = 0.3*df1_ft + 0.7*df1_rf\n", + "\n", + "df2_ft = solar_pv_sarah_pu.sel({\"time\":\"2012\", \"intra_region\":\"all\", \"_type\": \"Fixed Tilt\"}).mean(\"time\").to_series()\n", + "df2_ft.index = df2_ft.index.str.upper().str.replace(\" \", \"\")\n", + "\n", + "df2_rf = solar_pv_sarah_pu.sel({\"time\":\"2012\", \"intra_region\":\"all\", \"_type\": \"Rooftop\"}).mean(\"time\").to_series()\n", + "df2_rf.index = df2_rf.index.str.upper().str.replace(\" \", \"\")\n", + "df2 = 0.3*df2_ft + 0.7*df2_rf\n", + "\n", + "df2_sat = solar_pv_sarah_pu.sel({\"time\":\"2012\", \"intra_region\":\"all\", \"_type\": \"Single Axis\"}).mean(\"time\").to_series()\n", + "df2_sat.index = df2_sat.index.str.upper().str.replace(\" \", \"\")\n", + "\n", + "data = csir_solar_pv_data.loc[\"2012\"].mean().to_frame('CSIR')\n", + "data.index = data.index.str.upper().str.replace(\" \", \"\")\n", + "\n", + "data[\"sarah\"] = 0\n", + "for idx in df1.index:\n", + " data.loc[idx, 'era5'] = df1.loc[idx]\n", + " data.loc[idx, 'sarah'] = df2.loc[idx]\n", + " data.loc[idx, 'sarah - SAT'] = df2_sat.loc[idx]\n", + "\n", + "data.plot(kind='bar', figsize=(15, 5), title=\"PV power profiles for 2012\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "atlite", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/pre_processing/resource_processing/prepare_atlite_cutouts.ipynb b/pre_processing/resource_processing/prepare_atlite_cutouts.ipynb new file mode 100644 index 0000000..55514bd --- /dev/null +++ b/pre_processing/resource_processing/prepare_atlite_cutouts.ipynb @@ -0,0 +1,169 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Overview\n", + "\n", + "Run this script to generate ERA5 and SARAH cutouts using atlite. The two weather data sources used by atlite are:\n", + "\n", + " - ERA5 (wind and solar)\n", + " - ERA5 data can be downloaded through the Copernicus Climate Data Store cdsapi package, and requires \n", + "registration and setup as per https://cds.climate.copernicus.eu/api-how-to\n", + " - SARAH (solar)\n", + " - SARAH data can be downloaded via from EUMETSAT CMSAF using the portal https://wui.cmsaf.eu/safira/action/viewProduktSearch\n", + "Surface Incoming Direct Radiation (SID), Surface Incoming Shortwave Radiation (SIS) and Direct Normal Irradiance (DNI) should be downloaded\n", + "and extracted into the sarah_dir path" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import atlite" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Prepare ERA5 cutout" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "cutout_era5 = atlite.Cutout(\n", + " path=\"../../cutouts/RSA-2010_22-era5.nc\",\n", + " #module=[\"era5\"],\n", + " #x=slice(16, 35),\n", + " #y=slice(-35, -21),\n", + " #time=slice(\"2020\",\"2021\"), # e.g. download 2 years of weather data\n", + " chunks={\"time\": 100},\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "cutout_era5.data = cutout_era5.data.sel(time=slice(\"2012\",\"2012\"))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Prepare SARAH cutout" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/pklein/anaconda3/envs/atlite/lib/python3.12/site-packages/atlite/cutout.py:190: UserWarning: Arguments sarah_dir are ignored, since cutout is already built.\n", + " warn(\n" + ] + } + ], + "source": [ + "cutout_sarah = atlite.Cutout(\n", + " path=\"../../cutouts/RSA-2012-sarah.nc\",\n", + " #module=[\"sarah\"],\n", + " sarah_dir=\"../../cutouts/sarah_v3\",\n", + " #x=slice(16, 35),\n", + " #y=slice(-35, -21),\n", + " #time=slice(\"2012\",\"2012\"),\n", + " chunks={\"time\": 1000}, # temp fix chunking by lat-1 to resolve error on building the cutout\n", + ")\n", + "#cutout_sarah.prepare(features=\"influx\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "# Merge Sarah and ERA5 cutouts if prepared separately\n", + "cutout_sarah.data = cutout_sarah.data.interp(y=cutout_era5.grid.y.unique(), x=cutout_era5.grid.x.unique(), method=\"linear\")\n", + "cutout_sarah = cutout_sarah.merge(cutout_era5, compat=\"override\")\n", + "cutout_sarah.data.to_netcdf(\"RSA-2012-sarah.nc\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2018\n", + "2019\n", + "2020\n", + "2021\n", + "2022\n" + ] + } + ], + "source": [ + "# Merge cutouts for multiple years\n", + "\n", + "cutout_sarah = atlite.Cutout(\n", + " path=\"../../cutouts/RSA-2012-sarah.nc\",\n", + " chunks={\"time\": 1000},\n", + ")\n", + "\n", + "for y in [2018, 2019, 2020, 2021, 2022]:\n", + " print(y)\n", + " cutout_sarah = cutout_sarah.merge(\n", + " atlite.Cutout(\n", + " path=f\"../../cutouts/RSA-{y}-sarah.nc\",\n", + " chunks={\"time\": 1000}\n", + " )\n", + " )\n", + " \n", + "cutout_sarah.data = cutout_sarah.data.interp(y=cutout_era5.grid.y.unique(), x=cutout_era5.grid.x.unique(), method=\"linear\")\n", + "cutout_sarah = cutout_sarah.merge(cutout_era5, compat=\"override\")\n", + "\n", + "cutout_sarah.data.to_netcdf(\"RSA-2017_22-sarah.nc\")\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "atlite", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/pre_processing/resource_processing/prepare_availability_matrix.ipynb b/pre_processing/resource_processing/prepare_availability_matrix.ipynb new file mode 100644 index 0000000..f1dca10 --- /dev/null +++ b/pre_processing/resource_processing/prepare_availability_matrix.ipynb @@ -0,0 +1,311 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Overview\n", + "\n", + "This notebook utilisies the Atlite availability matrix functionality to evaluate suitable areas for renewable energy deployment. This refers to the capability to model Landuse availability. For more information see https://atlite.readthedocs.io/en/latest/examples/landuse-availability.html" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Setting up ERA5 cutout using atlite" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "import atlite\n", + "import xarray as xr\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import geopandas as gpd\n", + "from dask.distributed import Client, LocalCluster\n", + "from _helpers import load_gis_data, set_availability\n", + "\n", + "import warnings\n", + "warnings.filterwarnings('ignore')\n", + "\n", + "import pyogrio\n", + "save_availability = False\n", + "save_rooftop_availability = True" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "albers_crs = {\n", + " \"proj\": \"aea\", # Albers Equal Area\n", + " \"lat_1\": 29.5, # First standard parallel\n", + " \"lat_2\": 45.5, # Second standard parallel\n", + " \"lat_0\": 23, # Latitude of projection center\n", + " \"lon_0\": -96, # Longitude of projection center\n", + " \"x_0\": 0,\n", + " \"y_0\": 0,\n", + " \"datum\": \"NAD83\",\n", + " \"units\": \"m\",\n", + " \"no_defs\": True\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Load Atlite cutouts" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "#Before running this script you must build an era5 cutout for South Africa using the atlite module\n", + "cutout = atlite.Cutout(\n", + " path=\"../../cutouts/RSA-2010_22-era5.nc\",\n", + " chunks={'time': 100}\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Load GIS data" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading Eskom Supply Regions from ../../data/bundle/rsa_supply_regions.gpkg\n", + "Loading EIA applications from ../../data/bundle/REEA_OR_2023_Q3.shp\n", + "Loading REDZs from ../../data/bundle/REDZs.shp\n", + "Loading Power Corridors from ../../data/bundle/Power_corridors.shp\n", + "Loading SACAD from ../../data/bundle/SACAD_OR_2023_Q3.shp\n", + "Loading SAPAD from ../../data/bundle/SAPAD_OR_2023_Q3.shp\n", + "Loading SKA exclusion from ../../data/bundle/SKA/SKA_exclusion.shp\n" + ] + } + ], + "source": [ + "data_bundle_path = \"../../data/bundle\"\n", + "gis_data = load_gis_data(data_bundle_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(-35.0, -22.0)" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(figsize=(10,10))\n", + "gis_data[\"supply_regions\"][10].plot(ax=ax, facecolor='lightgrey', edgecolor='k', lw=0)\n", + "\n", + "gis_data[\"corridors\"].plot(ax=ax, color='#a3b18a', lw=0.5)\n", + "gis_data[\"redz\"].plot(ax=ax, color = 'lightblue')\n", + "gis_data[\"eia_regions\"].plot(ax=ax,color='#6a994e')\n", + "gis_data[\"exclusion\"].plot(ax=ax, color='salmon')\n", + "gis_data[\"supply_regions\"][34].plot(ax=ax, facecolor='none', edgecolor='b', lw=0.5, ls='--')\n", + "gis_data[\"supply_regions\"][10].plot(ax=ax, facecolor='none', edgecolor='k', lw=0.5)\n", + "\n", + "ax.set_xlim([16, 33])\n", + "ax.set_ylim([-35, -22])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Create region exclusion zones\n", + "Exclusion zones include the following:\n", + "- DFFE SAPAD and SACAD\n", + "- Square Kilometre Array (SKA)\n", + "- Land cover classes that are unsuitable" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "if save_availability:\n", + " for region_num in gis_data[\"supply_regions\"].keys():\n", + " bus_list = gis_data[\"supply_regions\"][region_num].name.to_list()\n", + "\n", + " availability_matrix = xr.DataArray(\n", + " coords = {\n", + " \"bus\": bus_list, \n", + " \"y\": cutout.grid.y.unique(),\n", + " \"x\": cutout.grid.x.unique(),\n", + " \"area\": [\"all\", \"redz\", \"corridors\", \"redz_corridors_eia\"]},\n", + " dims = [\"bus\", \"y\",\"x\", \"area\"],\n", + " )\n", + "\n", + " for area in [\"all\", \"redz\", \"corridors\", \"redz_corridors_eia\"]:\n", + " print(f\"Setting availability for {region_num} supply regions with available area: {area}\")\n", + " availability_matrix.loc[dict(area=area)] = set_availability(area, gis_data, cutout, gis_data[\"supply_regions\"][region_num])\n", + "\n", + " availability_matrix.to_netcdf(f\"availability/availability_matrix_{region_num}.nc\")" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "availability_matrix = xr.open_dataarray(\"availability/availability_matrix_10.nc\")\n", + "\n", + "fig, ax = plt.subplots(figsize=(15,10))\n", + "availability_matrix.sel(area=\"corridors\").sum(\"bus\").plot(ax=ax, cmap='Greens', vmin=0, vmax=1)\n", + "gis_data[\"exclusion\"].plot(ax=ax, facecolor='red', alpha=0.3)\n", + "gis_data[\"redz\"].plot(ax=ax, facecolor='blue',alpha=0.3)\n", + "gis_data[\"supply_regions\"][10].plot(ax=ax, facecolor='none', edgecolor='k', lw=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Rooftop solar PV availability by building area" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1\n", + "10\n", + "27\n", + "34\n", + "159\n" + ] + } + ], + "source": [ + "if save_rooftop_availability:\n", + " buildings = pyogrio.read_dataframe(\n", + " \"/media/pklein/1TB_SSD/Meridian Dropbox/ME Projects/03 R E S O U R C E S/Modelling data/GIS data/Buildings/hotosm_zaf_buildings_polygons_shp/hotosm_zaf_buildings_polygons.shp\"\n", + " )\n", + " buildings = buildings.to_crs(albers_crs)\n", + " buildings.sindex\n", + " buildings[\"area\"] = buildings.geometry.area\n", + "\n", + " grid = cutout.grid\n", + " grid = grid.to_crs(albers_crs)\n", + "\n", + " buildings_in_cells = gpd.sjoin(buildings, grid, op=\"within\")\n", + " building_area_in_cell = buildings_in_cells.groupby([\"y\",\"x\"]).sum()[\"area\"].to_xarray()\n", + "\n", + " for region_num in gis_data[\"supply_regions\"].keys():\n", + " print(region_num)\n", + " bus_list = gis_data[\"supply_regions\"][region_num].name.to_list()\n", + " map_cell_to_region = gpd.sjoin(grid.to_crs(albers_crs), gis_data[\"supply_regions\"][region_num].to_crs(albers_crs), op=\"within\")[[\"x\", \"y\", \"name\"]]\n", + "\n", + " availability_matrix = xr.DataArray(\n", + " coords = {\n", + " \"bus\": bus_list, \n", + " \"y\": cutout.grid.y.unique(),\n", + " \"x\": cutout.grid.x.unique(),\n", + " },\n", + " dims = [\"bus\", \"y\",\"x\"],\n", + " )\n", + "\n", + " for bus in bus_list:\n", + " cell_list = map_cell_to_region[map_cell_to_region[\"name\"] == bus][[\"x\",\"y\"]]\n", + " mask = availability_matrix.coords['x'].isin(cell_list['x']) & availability_matrix.coords['y'].isin(cell_list['y'])\n", + " selected_data = building_area_in_cell.where(mask, drop=True)\n", + " availability_matrix.loc[dict(bus=bus, x=selected_data.coords['x'], y=selected_data.coords['y'])] = (selected_data/selected_data.sum()).values\n", + "\n", + " availability_matrix.to_netcdf(f\"availability/rooftop_availability_matrix_{region_num}.nc\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pypsa-earth-updated", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/pre_processing/resource_processing/prepare_extendable_solar_pv.ipynb b/pre_processing/resource_processing/prepare_extendable_solar_pv.ipynb new file mode 100644 index 0000000..a1ead7e --- /dev/null +++ b/pre_processing/resource_processing/prepare_extendable_solar_pv.ipynb @@ -0,0 +1,363 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Overview\n", + "\n", + "This notebook is used to create the hourly solar PV profiles that are used for the PyPSA-RSA model. The output file is a NetCDF file with the following dimensions:\n", + "- Technology type (Fixed Tilt, Tracking, Rooftop)\n", + "- Supply regions (bus)\n", + "- Intra region areas available for generation\n", + "- Hourly generation profiles (normalised)\n", + "\n", + "Supply region resolution - \n", + "- 1 - whole of RSA\n", + "- 10 - Eskom defined transmission regions\n", + "- 34 - Eskom defined local supply areas\n", + "\n", + "Sub-region options:\n", + "- All area\n", + "- Renewable Energy Development Zones\n", + "- Power Corridors\n", + "- Active EIA applications\n", + "- REDZ + EIA applications \n", + "\n", + "Intra-region aggregation options:\n", + "- Average all available cells\n", + "- Weight cells by availability matrix\n", + "- Quantile" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Setting up ERA5 cutout using atlite" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import atlite\n", + "import xarray as xr\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import geopandas as gpd\n", + "from dask.distributed import Client, LocalCluster\n", + "from IPython.display import clear_output\n", + "from _helpers import (\n", + " load_gis_data,\n", + " generate_pv_timeseries,\n", + " aggregate_intra_region,\n", + ")\n", + "\n", + "import warnings\n", + "warnings.filterwarnings('ignore')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "agg_params = {\n", + " \"availability_threshold\":0,\n", + " \"scale_by_availability\": True, \n", + " \"aggregation_method\":\"mean\", # quantile\n", + " \"quantile\": 0.2,\n", + "}\n", + "run_generation = True" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Load Atlite cutout\n", + "Can use ERA5 or Sarah data for solar PV" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "#Before running this script you must build an era5 cutout for South Africa using the atlite module\n", + "cutout = atlite.Cutout(\n", + " path=\"../../cutouts/RSA-2017_22-sarah.nc\",\n", + " chunks={'time': 100}\n", + ")\n", + "cutout.data = cutout.data.sel(time=~((cutout.data.time.dt.month == 2) & (cutout.data.time.dt.day == 29)))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Load GIS data" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading Eskom Supply Regions from ../../data/bundle/rsa_supply_regions.gpkg\n", + "Loading EIA applications from ../../data/bundle/REEA_OR_2023_Q3.shp\n", + "Loading REDZs from ../../data/bundle/REDZs.shp\n", + "Loading Power Corridors from ../../data/bundle/Power_corridors.shp\n", + "Loading SACAD from ../../data/bundle/SACAD_OR_2023_Q3.shp\n", + "Loading SAPAD from ../../data/bundle/SAPAD_OR_2023_Q3.shp\n", + "Loading SKA exclusion from ../../data/bundle/SKA/SKA_exclusion.shp\n" + ] + } + ], + "source": [ + "data_bundle_path = \"../../data/bundle\"\n", + "gis_data = load_gis_data(data_bundle_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Create Regional timeseries data for solar PV" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Calculating average based on intra region area: redz_corridors_eia for bus: Witkop\n" + ] + } + ], + "source": [ + "for module in [\"era5\",\"sarah\"]:\n", + " print(\"Calculating timeseries data for Fixed Tilt, Single Axis Tracker and Rooftop PV\")\n", + " fixed_tilt_cf = generate_pv_timeseries(cutout, \"Fixed Tilt\", dc_ac_ratio = 1.15, module = module)\n", + " sat_cf = generate_pv_timeseries(cutout, \"Single Axis\", dc_ac_ratio = 1.15, module = module)\n", + " rooftop_cf = generate_pv_timeseries(cutout, \"Rooftop\", dc_ac_ratio = 1, module = module)\n", + "\n", + " for r in gis_data[\"supply_regions\"].keys():\n", + " availability_matrix = xr.open_dataarray(f\"availability/availability_matrix_{r}.nc\")\n", + " rooftop_availability_matrix = xr.open_dataarray(f\"availability/rooftop_availability_matrix_{r}.nc\")\n", + " timeseries = xr.DataArray(\n", + " coords = {\n", + " \"time\": cutout.data.coords[\"time\"].values, \n", + " \"bus\": availability_matrix.coords[\"bus\"], \n", + " \"_type\": [\"Fixed Tilt\", \"Single Axis\", \"Rooftop\"], \n", + " \"intra_region\": [\"all\", \"redz\", \"corridors\", \"redz_corridors_eia\"]},\n", + " dims = [\"time\", \"bus\", \"_type\", \"intra_region\"],\n", + " )\n", + "\n", + " for intra_region in timeseries.coords[\"intra_region\"].values:\n", + " for bus in availability_matrix.coords[\"bus\"].values:\n", + " print(f\"Calculating average based on intra region area: {intra_region} for bus: {bus}\")\n", + " region_availability = availability_matrix.sel(area=intra_region,bus=bus).rename({\"y\":\"lat\",\"x\":\"lon\"})\n", + " rooftop_region_availability = rooftop_availability_matrix.sel(bus=bus).rename({\"y\":\"lat\",\"x\":\"lon\"})\n", + " timeseries.loc[dict(_type=\"Fixed Tilt\", bus=bus, intra_region=intra_region)] = aggregate_intra_region(fixed_tilt_cf, region_availability, **agg_params)\n", + " timeseries.loc[dict(_type=\"Single Axis\", bus=bus, intra_region=intra_region)] = aggregate_intra_region(sat_cf, region_availability, **agg_params)\n", + " timeseries.loc[dict(_type=\"Rooftop\", bus=bus, intra_region=intra_region)] = aggregate_intra_region(rooftop_cf, rooftop_region_availability, **agg_params)\n", + " clear_output(wait=True) \n", + "\n", + " timeseries.to_netcdf(f\"timeseries_data/extendable_solar_pv_{module}_{r}.nc\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Calculating average based on intra region area: all for bus: RSA\n", + "Calculating average based on intra region area: redz for bus: RSA\n", + "Calculating average based on intra region area: corridors for bus: RSA\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: RSA\n", + "Calculating average based on intra region area: all for bus: Namaqualand\n", + "Calculating average based on intra region area: all for bus: West Coast\n", + "Calculating average based on intra region area: all for bus: Peninsula\n", + "Calculating average based on intra region area: all for bus: Southern Cape\n", + "Calculating average based on intra region area: all for bus: Port Elizabeth\n", + "Calculating average based on intra region area: all for bus: Karoo\n", + "Calculating average based on intra region area: all for bus: Kimberley\n", + "Calculating average based on intra region area: all for bus: Carletonville\n", + "Calculating average based on intra region area: all for bus: Welkom\n", + "Calculating average based on intra region area: all for bus: Bloemfontein\n", + "Calculating average based on intra region area: all for bus: East London\n", + "Calculating average based on intra region area: all for bus: Pinetown\n", + "Calculating average based on intra region area: all for bus: Ladysmith\n", + "Calculating average based on intra region area: all for bus: Vaal Triangle\n", + "Calculating average based on intra region area: all for bus: West Rand\n", + "Calculating average based on intra region area: all for bus: Rustenburg\n", + "Calculating average based on intra region area: all for bus: Waterberg\n", + "Calculating average based on intra region area: all for bus: Polokwane\n", + "Calculating average based on intra region area: all for bus: Warmbad\n", + "Calculating average based on intra region area: all for bus: Pretoria\n", + "Calculating average based on intra region area: all for bus: Johannesburg\n", + "Calculating average based on intra region area: all for bus: Nigel\n", + "Calculating average based on intra region area: all for bus: Highveld South\n", + "Calculating average based on intra region area: all for bus: Highveld North\n", + "Calculating average based on intra region area: all for bus: Lowveld\n", + "Calculating average based on intra region area: all for bus: Newcastle\n", + "Calculating average based on intra region area: all for bus: Empangeni\n", + "Calculating average based on intra region area: redz for bus: Namaqualand\n", + "Calculating average based on intra region area: redz for bus: West Coast\n", + "Calculating average based on intra region area: redz for bus: Peninsula\n", + "Calculating average based on intra region area: redz for bus: Southern Cape\n", + "Calculating average based on intra region area: redz for bus: Port Elizabeth\n", + "Calculating average based on intra region area: redz for bus: Karoo\n", + "Calculating average based on intra region area: redz for bus: Kimberley\n", + "Calculating average based on intra region area: redz for bus: Carletonville\n", + "Calculating average based on intra region area: redz for bus: Welkom\n", + "Calculating average based on intra region area: redz for bus: Bloemfontein\n", + "Calculating average based on intra region area: redz for bus: East London\n", + "Calculating average based on intra region area: redz for bus: Pinetown\n", + "Calculating average based on intra region area: redz for bus: Ladysmith\n", + "Calculating average based on intra region area: redz for bus: Vaal Triangle\n", + "Calculating average based on intra region area: redz for bus: West Rand\n", + "Calculating average based on intra region area: redz for bus: Rustenburg\n", + "Calculating average based on intra region area: redz for bus: Waterberg\n", + "Calculating average based on intra region area: redz for bus: Polokwane\n", + "Calculating average based on intra region area: redz for bus: Warmbad\n", + "Calculating average based on intra region area: redz for bus: Pretoria\n", + "Calculating average based on intra region area: redz for bus: Johannesburg\n", + "Calculating average based on intra region area: redz for bus: Nigel\n", + "Calculating average based on intra region area: redz for bus: Highveld South\n", + "Calculating average based on intra region area: redz for bus: Highveld North\n", + "Calculating average based on intra region area: redz for bus: Lowveld\n", + "Calculating average based on intra region area: redz for bus: Newcastle\n", + "Calculating average based on intra region area: redz for bus: Empangeni\n", + "Calculating average based on intra region area: corridors for bus: Namaqualand\n", + "Calculating average based on intra region area: corridors for bus: West Coast\n", + "Calculating average based on intra region area: corridors for bus: Peninsula\n", + "Calculating average based on intra region area: corridors for bus: Southern Cape\n", + "Calculating average based on intra region area: corridors for bus: Port Elizabeth\n", + "Calculating average based on intra region area: corridors for bus: Karoo\n", + "Calculating average based on intra region area: corridors for bus: Kimberley\n", + "Calculating average based on intra region area: corridors for bus: Carletonville\n", + "Calculating average based on intra region area: corridors for bus: Welkom\n", + "Calculating average based on intra region area: corridors for bus: Bloemfontein\n", + "Calculating average based on intra region area: corridors for bus: East London\n", + "Calculating average based on intra region area: corridors for bus: Pinetown\n", + "Calculating average based on intra region area: corridors for bus: Ladysmith\n", + "Calculating average based on intra region area: corridors for bus: Vaal Triangle\n", + "Calculating average based on intra region area: corridors for bus: West Rand\n", + "Calculating average based on intra region area: corridors for bus: Rustenburg\n", + "Calculating average based on intra region area: corridors for bus: Waterberg\n", + "Calculating average based on intra region area: corridors for bus: Polokwane\n", + "Calculating average based on intra region area: corridors for bus: Warmbad\n", + "Calculating average based on intra region area: corridors for bus: Pretoria\n", + "Calculating average based on intra region area: corridors for bus: Johannesburg\n", + "Calculating average based on intra region area: corridors for bus: Nigel\n", + "Calculating average based on intra region area: corridors for bus: Highveld South\n", + "Calculating average based on intra region area: corridors for bus: Highveld North\n", + "Calculating average based on intra region area: corridors for bus: Lowveld\n", + "Calculating average based on intra region area: corridors for bus: Newcastle\n", + "Calculating average based on intra region area: corridors for bus: Empangeni\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Namaqualand\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: West Coast\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Peninsula\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Southern Cape\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Port Elizabeth\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Karoo\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Kimberley\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Carletonville\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Welkom\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Bloemfontein\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: East London\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Pinetown\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Ladysmith\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Vaal Triangle\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: West Rand\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Rustenburg\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Waterberg\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Polokwane\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Warmbad\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Pretoria\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Johannesburg\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Nigel\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Highveld South\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Highveld North\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Lowveld\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Newcastle\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Empangeni\n" + ] + } + ], + "source": [ + "for module in [\"csir\"]:\n", + "\n", + " for r in [1, 27]:\n", + " availability_matrix = xr.open_dataarray(f\"availability/availability_matrix_{r}.nc\")\n", + " csir_fise = pd.read_excel(\"csir_fise_SWA_data.xlsx\", sheet_name = f\"{r}-solar_pv\", index_col=0, parse_dates=True)\n", + " csir_fise = csir_fise.iloc[1:]\n", + " csir_fise.index = pd.DatetimeIndex(csir_fise.index)\n", + " csir_fise = csir_fise[~((csir_fise.index.month == 2) & (csir_fise.index.day == 29))]\n", + "\n", + " csir_fise = pd.concat(\n", + " [csir_fise]\n", + " * (len(cutout.data.coords[\"time\"].values) // len(csir_fise)),\n", + " ignore_index=True,\n", + " ) \n", + "\n", + " timeseries = xr.DataArray(\n", + " coords = {\n", + " \"time\": cutout.data.coords[\"time\"].values, \n", + " \"bus\": availability_matrix.coords[\"bus\"], \n", + " \"_type\": [\"Fixed Tilt\", \"Single Axis\", \"Rooftop\"], \n", + " \"intra_region\": [\"all\", \"redz\", \"corridors\", \"redz_corridors_eia\"]},\n", + " dims = [\"time\", \"bus\", \"_type\", \"intra_region\"],\n", + " )\n", + "\n", + " for intra_region in timeseries.coords[\"intra_region\"].values:\n", + " for bus in availability_matrix.coords[\"bus\"].values:\n", + " print(f\"Calculating average based on intra region area: {intra_region} for bus: {bus}\")\n", + " timeseries.loc[dict(_type=\"Fixed Tilt\", bus=bus, intra_region=intra_region)] = csir_fise[bus].values\n", + "\n", + " timeseries.to_netcdf(f\"timeseries_data/extendable_solar_pv_{module}_{r}.nc\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pypsa-earth-updated", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/pre_processing/resource_processing/prepare_extendable_wind.ipynb b/pre_processing/resource_processing/prepare_extendable_wind.ipynb new file mode 100644 index 0000000..8e1f63f --- /dev/null +++ b/pre_processing/resource_processing/prepare_extendable_wind.ipynb @@ -0,0 +1,800 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Overview\n", + "Supply region resolution - \n", + "- 1 - whole of RSA\n", + "- 10 - Eskom defined transmission regions\n", + "- 34 - Eskom defined local supply areas\n", + "\n", + "Sub-region options:\n", + "- All area\n", + "- Renewable Energy Development Zones\n", + "- Power Corridors\n", + "- Active EIA applications\n", + "- REDZ + EIA applications \n", + "\n", + "Intra-region aggregation options:\n", + "- Average all available cells\n", + "- Weight cells by availability matrix\n", + "- Quantile" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Setting up ERA5 cutout using atlite" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "import atlite\n", + "import xarray as xr\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import geopandas as gpd\n", + "import rasterio\n", + "import rioxarray\n", + "from dask.distributed import Client, LocalCluster\n", + "import os\n", + "\n", + "from _helpers import(\n", + " load_gis_data,\n", + " load_turbine_power_curves,\n", + " generate_wind_timeseries,\n", + " aggregate_intra_region,\n", + " calculate_voronoi_for_supply_region,\n", + " select_intra_region_voronoi,\n", + " calc_wasa_timeseries,\n", + ")\n", + "\n", + "import warnings\n", + "warnings.filterwarnings('ignore')" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "agg_params = {\n", + " \"availability_threshold\":0,\n", + " \"scale_by_availability\": False, \n", + " \"aggregation_method\":\"quantile\", # quantile\n", + " \"quantile\": 0.9,\n", + "}\n", + "\n", + "run_generation = True\n", + "run_validation = True\n", + "apply_gwa_correction = True" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "#Before running this script you must build an era5 cutout for South Africa using the atlite module\n", + "cutout = atlite.Cutout(\n", + " path=\"../../cutouts/RSA-2010_22-era5.nc\",\n", + " chunks={'time': 100}\n", + ")\n", + "cutout.data = cutout.data.sel(time=~((cutout.data.time.dt.month == 2) & (cutout.data.time.dt.day == 29)))\n", + "\n", + "if apply_gwa_correction:\n", + " gwa_data = rioxarray.open_rasterio(\"../../data/bundle/ZAF_wind-speed_100m.tif\")\n", + " ds=gwa_data.sel(band=1, x=slice(*cutout.extent[[0,1]]), y=slice(*cutout.extent[[3,2]]))\n", + " ds=ds.where(ds!=-999)\n", + " ds=atlite.gis.regrid(ds,cutout.data.x, cutout.data.y,resampling=rasterio.warp.Resampling.average)\n", + "\n", + " bias_correction = ds/cutout.data.wnd100m.mean(\"time\") \n", + " bias_correction=bias_correction.fillna(1)\n", + " cutout.data.wnd100m.values=(bias_correction*cutout.data.wnd100m).transpose('time', 'y', 'x').values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Generate wind power data" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "turbine_class, turbine_power_curves = load_turbine_power_curves('../../data/turbine_power_curves.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "for hub_height in [80, 120, 140]:\n", + " cutout.data[f\"wnd{hub_height}m\"] = atlite.wind.extrapolate_wind_speed(cutout.data, hub_height, from_height=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cutout.data[\"turbine_class\"] = xr.full_like(cutout.data['wnd80m'].mean(\"time\"), 5, dtype='int')\n", + "cutout.data[\"turbine_class\"] = xr.where((cutout.data['wnd120m'].mean(\"time\") < 7.5) & (cutout.data['wnd120m'].mean(\"time\") > 6), 4, cutout.data[\"turbine_class\"])\n", + "cutout.data[\"turbine_class\"] = xr.where((cutout.data['wnd100m'].mean(\"time\") < 7.5) & (cutout.data['wnd100m'].mean(\"time\") > 6), 3, cutout.data[\"turbine_class\"])\n", + "cutout.data[\"turbine_class\"] = xr.where((cutout.data['wnd80m'].mean(\"time\") < 8.5) & (cutout.data['wnd100m'].mean(\"time\") > 7.5), 2, cutout.data[\"turbine_class\"])\n", + "cutout.data[\"turbine_class\"] = xr.where(cutout.data['wnd80m'].mean(\"time\") > 8.5, 1, cutout.data[\"turbine_class\"])\n", + "cutout.data[\"turbine_class\"].plot()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "era5_pu = xr.DataArray(\n", + " np.zeros((len(cutout.data.time), len(cutout.grid.y.unique()), len(cutout.grid.x.unique()))),\n", + " coords = {\n", + " \"time\": cutout.coords[\"time\"], \n", + " \"lat\": cutout.grid.y.unique(),\n", + " \"lon\": cutout.grid.x.unique()},\n", + " dims = [\"time\", \"lat\",\"lon\"],\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generating timeseries for turbine class 1\n", + "[########################################] | 100% Completed | 26.61 s\n", + "Generating timeseries for turbine class 2\n", + "[########################################] | 100% Completed | 25.92 s\n", + "Generating timeseries for turbine class 3\n", + "[########################################] | 100% Completed | 22.15 s\n", + "Generating timeseries for turbine class 4\n", + "[########################################] | 100% Completed | 26.78 s\n", + "Generating timeseries for turbine class 5\n", + "[########################################] | 100% Completed | 25.67 s\n" + ] + } + ], + "source": [ + "for _class in range(1,6):\n", + " print(f\"Generating timeseries for turbine class {_class}\")\n", + " timeseries = generate_wind_timeseries(cutout, turbine_class[_class])\n", + " mask = (cutout.data[\"turbine_class\"] == _class).compute()\n", + " mask = mask.swap_dims({\"y\": \"lat\", \"x\": \"lon\"})\n", + " era5_pu += timeseries.where(mask, 0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Load GIS data" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading Eskom Supply Regions from ../../data/bundle/rsa_supply_regions.gpkg\n", + "Loading EIA applications from ../../data/bundle/REEA_OR_2023_Q3.shp\n", + "Loading REDZs from ../../data/bundle/REDZs.shp\n", + "Loading Power Corridors from ../../data/bundle/Power_corridors.shp\n", + "Loading SACAD from ../../data/bundle/SACAD_OR_2023_Q3.shp\n", + "Loading SAPAD from ../../data/bundle/SAPAD_OR_2023_Q3.shp\n", + "Loading SKA exclusion from ../../data/bundle/SKA/SKA_exclusion.shp\n" + ] + } + ], + "source": [ + "data_bundle_path = \"../../data/bundle\"\n", + "gis_data = load_gis_data(data_bundle_path)\n", + "\n", + "wasa_gps = pd.read_csv('../../data/weather/wasa_gps.csv')\n", + "wasa_gps = gpd.GeoDataFrame(wasa_gps, geometry=gpd.points_from_xy(wasa_gps.Longitude, wasa_gps.Latitude), crs=4326)\n", + "wasa_gps = gpd.sjoin(wasa_gps, gis_data[\"supply_regions\"][1], how=\"inner\", op='intersects')\n", + "wasa_gps = wasa_gps.drop(columns=['index_right'])\n", + "\n", + "for i in wasa_gps.index:\n", + " wasa_gps.loc[i, \"cleaned_file_name\"] = wasa_gps.loc[i, \"file_name\"].replace(\".csv\",\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Supply regions: 1, Intra region area: all\n", + "Supply regions: 1, Intra region area: redz\n", + "Supply regions: 1, Intra region area: corridors\n", + "Supply regions: 1, Intra region area: redz_corridors_eia\n", + "Supply regions: 10, Intra region area: all\n", + "Supply regions: 10, Intra region area: redz\n", + "Supply regions: 10, Intra region area: corridors\n", + "Supply regions: 10, Intra region area: redz_corridors_eia\n", + "Supply regions: 27, Intra region area: all\n", + "Supply regions: 27, Intra region area: redz\n", + "Supply regions: 27, Intra region area: corridors\n", + "Supply regions: 27, Intra region area: redz_corridors_eia\n", + "Supply regions: 34, Intra region area: all\n", + "Supply regions: 34, Intra region area: redz\n", + "Supply regions: 34, Intra region area: corridors\n", + "Supply regions: 34, Intra region area: redz_corridors_eia\n", + "Supply regions: 159, Intra region area: all\n", + "Supply regions: 159, Intra region area: redz\n", + "Supply regions: 159, Intra region area: corridors\n", + "Supply regions: 159, Intra region area: redz_corridors_eia\n" + ] + } + ], + "source": [ + "if run_generation:\n", + " for region_num in gis_data[\"supply_regions\"].keys(): \n", + " bus_list = gis_data[\"supply_regions\"][region_num].name.to_list()\n", + " availability_matrix = xr.open_dataarray(f\"availability/availability_matrix_{region_num}.nc\")\n", + " \n", + " timeseries = xr.DataArray(\n", + " coords = {\n", + " \"time\": era5_pu.time, \n", + " \"bus\": bus_list, \n", + " \"intra_region\": [\"all\", \"redz\", \"corridors\", \"redz_corridors_eia\"]},\n", + " dims = [\"time\", \"bus\", \"intra_region\"],\n", + " )\n", + " for intra_region in [\"all\", \"redz\", \"corridors\", \"redz_corridors_eia\"]:\n", + " print(f\"Supply regions: {region_num}, Intra region area: {intra_region}\")\n", + " for region in availability_matrix.coords[\"bus\"].values:\n", + " region_availability = availability_matrix.sel(area=intra_region, bus=region).rename({\"y\":\"lat\",\"x\":\"lon\"})\n", + " timeseries.loc[dict(bus=region, intra_region = intra_region)] = aggregate_intra_region(era5_pu, region_availability, **agg_params)\n", + " \n", + " timeseries.to_netcdf(f\"timeseries_data/extendable_wind_era5_{region_num}.nc\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# WASA processing" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of points in RSA: 1714\n", + "Number of points in Eastern Cape: 217\n", + "Number of points in Free State: 43\n", + "Number of points in Gauteng: 78\n", + "Number of points in Hydra Central: 137\n", + "Number of points in KwaZulu Natal: 124\n", + "Number of points in Limpopo: 206\n", + "Number of points in Mpumalanga: 228\n", + "Number of points in North West: 40\n", + "Number of points in Northern Cape: 323\n", + "Number of points in Western Cape: 318\n", + "Number of points in Namaqualand: 115\n", + "Number of points in West Coast: 90\n", + "Number of points in Peninsula: 81\n", + "Number of points in Southern Cape: 229\n", + "Number of points in Port Elizabeth: 143\n", + "Number of points in Karoo: 162\n", + "Number of points in Kimberley: 83\n", + "Number of points in Carletonville: 28\n", + "Number of points in Welkom: 21\n", + "Number of points in Bloemfontein: 64\n", + "Number of points in East London: 93\n", + "Number of points in Pinetown: 34\n", + "Number of points in Ladysmith: 19\n", + "Number of points in Vaal Triangle: 16\n", + "Number of points in West Rand: 25\n", + "Number of points in Rustenburg: 10\n", + "Number of points in Waterberg: 17\n", + "Number of points in Polokwane: 115\n", + "Number of points in Warmbad: 3\n", + "Number of points in Pretoria: 6\n", + "Number of points in Johannesburg: 9\n", + "Number of points in Nigel: 15\n", + "Number of points in Highveld South: 66\n", + "Number of points in Highveld North: 52\n", + "Number of points in Lowveld: 146\n", + "Number of points in Newcastle: 55\n", + "Number of points in Empangeni: 17\n", + "Number of points in East London: 48\n", + "Number of points in Gqeberha: 127\n", + "Number of points in Mthatha: 42\n", + "Number of points in Bloemfontein: 20\n", + "Number of points in Welkom: 23\n", + "Number of points in Johannesburg: 12\n", + "Number of points in Midrand: 3\n", + "Number of points in Nigel: 13\n", + "Number of points in Pretoria: 4\n", + "Number of points in Vaal: 19\n", + "Number of points in West Rand: 27\n", + "Number of points in Hydra Central: 137\n", + "Number of points in Empangeni: 17\n", + "Number of points in Ladysmith: 55\n", + "Number of points in Newcastle: 34\n", + "Number of points in Pinetown: 18\n", + "Number of points in Lephalale: 30\n", + "Number of points in Phalaborwa: 80\n", + "Number of points in Polokwane: 87\n", + "Number of points in Warmbad: 9\n", + "Number of points in Highveld South: 69\n", + "Number of points in Lowveld: 63\n", + "Number of points in Middelburg: 69\n", + "Number of points in Witbank: 27\n", + "Number of points in Carletonville: 37\n", + "Number of points in Rustenburg: 3\n", + "Number of points in Kalahari: 29\n", + "Number of points in Kimberley: 96\n", + "Number of points in Namaqualand: 108\n", + "Number of points in Vredendal: 90\n", + "Number of points in Greater Komsberg: 13\n", + "Number of points in Outeniqua: 239\n", + "Number of points in Peninsula: 41\n", + "Number of points in West Coast: 25\n", + "Number of points in Acacia: 5\n", + "Number of points in Acornhoek: 38\n", + "Number of points in Aggeneis: 29\n", + "Number of points in Agulhas: 38\n", + "Number of points in Alpha: 0\n", + "No points in Alpha. Skipping Voronoi calculation.\n", + "Number of points in Apollo: 0\n", + "No points in Apollo. Skipping Voronoi calculation.\n", + "Number of points in Aquila: 2\n", + "Number of points in Ararat: 0\n", + "No points in Ararat. Skipping Voronoi calculation.\n", + "Number of points in Ariadne: 6\n", + "Number of points in Aries: 10\n", + "Number of points in Arnot: 3\n", + "Number of points in Artemis: 1\n", + "Number of points in Athene: 1\n", + "Number of points in Aurora: 25\n", + "Number of points in Avon: 2\n", + "Number of points in Bacchus: 105\n", + "Number of points in Benburg: 1\n", + "Number of points in Bernina: 2\n", + "Number of points in Bighorn: 0\n", + "No points in Bighorn. Skipping Voronoi calculation.\n", + "Number of points in Bloedrivier: 21\n", + "Number of points in Bloukrans: 13\n", + "Number of points in Borutho: 2\n", + "Number of points in Boundary: 22\n", + "Number of points in Brenner: 0\n", + "No points in Brenner. Skipping Voronoi calculation.\n", + "Number of points in Camden: 17\n", + "Number of points in Carmel: 2\n", + "Number of points in Chivelston: 0\n", + "No points in Chivelston. Skipping Voronoi calculation.\n", + "Number of points in Craighall: 2\n", + "Number of points in Croydon: 1\n", + "Number of points in Danskraal: 1\n", + "Number of points in Dedisa: 4\n", + "Number of points in Delphi: 16\n", + "Number of points in Dinaledi: 2\n", + "Number of points in Diphororo: 1\n", + "Number of points in Droerivier: 46\n", + "Number of points in Eiger: 4\n", + "Number of points in Emkhiweni: 2\n", + "Number of points in Eros: 18\n", + "Number of points in Esselen: 5\n", + "Number of points in Etna: 1\n", + "Number of points in Everest: 0\n", + "No points in Everest. Skipping Voronoi calculation.\n", + "Number of points in Ferrum: 24\n", + "Number of points in Fordsburg: 0\n", + "No points in Fordsburg. Skipping Voronoi calculation.\n", + "Number of points in Foskor: 21\n", + "Number of points in Galenia: 21\n", + "Number of points in Gamma: 14\n", + "Number of points in Garona: 13\n", + "Number of points in Georgedale: 4\n", + "Number of points in Glockner: 1\n", + "Number of points in Grassridge: 55\n", + "Number of points in Groeipunt: 5\n", + "Number of points in Gromis: 18\n", + "Number of points in Grootvlei: 10\n", + "Number of points in Gumeni: 21\n", + "Number of points in Harvard: 6\n", + "Number of points in Hector: 0\n", + "No points in Hector. Skipping Voronoi calculation.\n", + "Number of points in Helios: 62\n", + "Number of points in Hendrina: 33\n", + "Number of points in Hermes: 4\n", + "Number of points in Hydra: 66\n", + "Number of points in Illovo: 1\n", + "Number of points in Impala: 10\n", + "Number of points in Incandu: 0\n", + "No points in Incandu. Skipping Voronoi calculation.\n", + "Number of points in Ingagane: 12\n", + "Number of points in Invubu: 2\n", + "Number of points in Juno: 28\n", + "Number of points in Jupiter: 0\n", + "No points in Jupiter. Skipping Voronoi calculation.\n", + "Number of points in Kappa: 5\n", + "Number of points in Kestrel: 2\n", + "Number of points in Khanyazwe: 12\n", + "Number of points in Klaarwater: 4\n", + "Number of points in Koeberg: 3\n", + "Number of points in Komati: 4\n", + "Number of points in Komatipoort: 8\n", + "Number of points in Komsberg: 6\n", + "Number of points in Kookfontein: 2\n", + "Number of points in Koring: 2\n", + "Number of points in Koruson: 10\n", + "Number of points in Kronos: 34\n", + "Number of points in Kruispunt: 24\n", + "Number of points in Kwagga: 0\n", + "No points in Kwagga. Skipping Voronoi calculation.\n", + "Number of points in Leander: 9\n", + "Number of points in Lepini: 1\n", + "Number of points in Leseding: 6\n", + "Number of points in Lewensaar: 4\n", + "Number of points in Lomond: 1\n", + "Number of points in Lulamisa: 0\n", + "No points in Lulamisa. Skipping Voronoi calculation.\n", + "Number of points in Majuba: 15\n", + "Number of points in Makalu: 12\n", + "Number of points in Manogeng: 1\n", + "Number of points in Marang: 0\n", + "No points in Marang. Skipping Voronoi calculation.\n", + "Number of points in Marathon: 22\n", + "Number of points in Matimba: 18\n", + "Number of points in Medupi: 6\n", + "Number of points in Merapi: 13\n", + "Number of points in Mercury: 10\n", + "Number of points in Merensky: 15\n", + "Number of points in Mersey: 1\n", + "Number of points in Midas: 1\n", + "Number of points in Minerva: 0\n", + "No points in Minerva. Skipping Voronoi calculation.\n", + "Number of points in Mookodi: 5\n", + "Number of points in Muldersvlei: 20\n", + "Number of points in Nama: 5\n", + "Number of points in Neptune: 26\n", + "Number of points in Nevis: 4\n", + "Number of points in Ngwedi: 1\n", + "Number of points in Nieuwehoop: 6\n", + "Number of points in Njala: 0\n", + "No points in Njala. Skipping Voronoi calculation.\n", + "Number of points in Normandie: 12\n", + "Number of points in Olien: 17\n", + "Number of points in Olympus: 0\n", + "No points in Olympus. Skipping Voronoi calculation.\n", + "Number of points in Oranjemond: 15\n", + "Number of points in Paulputs: 26\n", + "Number of points in Pegasus: 1\n", + "Number of points in Pelly: 1\n", + "Number of points in Pembroke: 6\n", + "Number of points in Perseus: 1\n", + "Number of points in Philippi: 10\n", + "Number of points in Pieterboth: 2\n", + "Number of points in Pinotage: 0\n", + "No points in Pinotage. Skipping Voronoi calculation.\n", + "Number of points in Pluto: 0\n", + "No points in Pluto. Skipping Voronoi calculation.\n", + "Number of points in Poseidon: 68\n", + "Number of points in Prairie: 0\n", + "No points in Prairie. Skipping Voronoi calculation.\n", + "Number of points in Princess: 0\n", + "No points in Princess. Skipping Voronoi calculation.\n", + "Number of points in Prospect: 1\n", + "Number of points in Proteus: 29\n", + "Number of points in Rabbit: 0\n", + "No points in Rabbit. Skipping Voronoi calculation.\n", + "Number of points in Rigi: 1\n", + "Number of points in Rockdale: 1\n", + "Number of points in Roodekuil: 3\n", + "Number of points in Ruigtevallei: 40\n", + "Number of points in Scafell: 3\n", + "Number of points in Sebenza: 0\n", + "No points in Sebenza. Skipping Voronoi calculation.\n", + "Number of points in Senakangwedi: 0\n", + "No points in Senakangwedi. Skipping Voronoi calculation.\n", + "Number of points in Silimela: 2\n", + "Number of points in Simplon: 23\n", + "Number of points in Snowdon: 7\n", + "Number of points in Sol: 15\n", + "Number of points in Sorata: 36\n", + "Number of points in Spencer: 22\n", + "Number of points in Spitskop: 6\n", + "Number of points in Sterrekus: 1\n", + "Number of points in Stikland: 2\n", + "Number of points in Tabor: 48\n", + "Number of points in Taunus: 3\n", + "Number of points in Theseus: 13\n", + "Number of points in Thuso: 0\n", + "No points in Thuso. Skipping Voronoi calculation.\n", + "Number of points in Trident: 2\n", + "Number of points in Tugela: 4\n", + "Number of points in Umfolozi: 4\n", + "Number of points in Upington: 0\n", + "No points in Upington. Skipping Voronoi calculation.\n", + "Number of points in Venus: 1\n", + "Number of points in Vulcan: 3\n", + "Number of points in Vuyani: 24\n", + "Number of points in Warmbad: 8\n", + "Number of points in Watershed: 20\n", + "Number of points in Westgate: 21\n", + "Number of points in Wildebees: 0\n", + "No points in Wildebees. Skipping Voronoi calculation.\n", + "Number of points in Witkop: 15\n" + ] + } + ], + "source": [ + "if run_generation:\n", + " wasa_pu = xr.open_dataarray(\"timeseries_data/wasa_profiles.nc\").to_pandas()\n", + "\n", + " for regions in gis_data[\"supply_regions\"].keys():\n", + " supply_regions = gis_data[\"supply_regions\"][regions]\n", + " gdf_points = gpd.GeoDataFrame(wasa_gps, geometry=gpd.points_from_xy(wasa_gps['Longitude'], wasa_gps['Latitude']), crs='EPSG:4326')\n", + " gdf_points = gdf_points[gdf_points.geometry.within(supply_regions.unary_union)]\n", + " gdf_points = gdf_points.drop_duplicates(subset=['Latitude', 'Longitude'], keep='first')\n", + "\n", + " voronoi_gdfs = {\n", + " region_name: calculate_voronoi_for_supply_region(\n", + " supply_regions, gdf_points, region_name\n", + " )\n", + " for region_name in supply_regions['name'].unique()\n", + " }\n", + " all_voronoi_gdf = pd.concat(\n", + " [gdf.assign(region_name=region_name) for region_name, gdf in voronoi_gdfs.items()],\n", + " ignore_index=False)\n", + " all_voronoi_gdf.crs = 'EPSG:4326'\n", + "\n", + " timeseries = xr.DataArray(\n", + " coords = {\n", + " \"time\": wasa_pu.index, \n", + " \"bus\": supply_regions.name, \n", + " \"intra_region\": [\"all\", \"redz\", \"corridors\", \"redz_corridors_eia\"]},\n", + " dims = [\"time\", \"bus\", \"intra_region\"],\n", + " )\n", + "\n", + " for intra_region in [\"all\", \"redz\", \"corridors\", \"redz_corridors_eia\"]:\n", + "\n", + " voronoi_active = all_voronoi_gdf if intra_region == \"all\" else select_intra_region_voronoi(all_voronoi_gdf, gis_data[intra_region])\n", + " for r in supply_regions.name:\n", + " timeseries.loc[:, r, intra_region] = calc_wasa_timeseries(voronoi_active, r, wasa_pu, method = \"area_weighted\").values\n", + " timeseries.to_netcdf(f\"timeseries_data/extendable_wind_wasa_{regions}.nc\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Calculating average based on intra region area: all for bus: RSA\n", + "Calculating average based on intra region area: redz for bus: RSA\n", + "Calculating average based on intra region area: corridors for bus: RSA\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: RSA\n", + "Calculating average based on intra region area: all for bus: Namaqualand\n", + "Calculating average based on intra region area: all for bus: West Coast\n", + "Calculating average based on intra region area: all for bus: Peninsula\n", + "Calculating average based on intra region area: all for bus: Southern Cape\n", + "Calculating average based on intra region area: all for bus: Port Elizabeth\n", + "Calculating average based on intra region area: all for bus: Karoo\n", + "Calculating average based on intra region area: all for bus: Kimberley\n", + "Calculating average based on intra region area: all for bus: Carletonville\n", + "Calculating average based on intra region area: all for bus: Welkom\n", + "Calculating average based on intra region area: all for bus: Bloemfontein\n", + "Calculating average based on intra region area: all for bus: East London\n", + "Calculating average based on intra region area: all for bus: Pinetown\n", + "Calculating average based on intra region area: all for bus: Ladysmith\n", + "Calculating average based on intra region area: all for bus: Vaal Triangle\n", + "Calculating average based on intra region area: all for bus: West Rand\n", + "Calculating average based on intra region area: all for bus: Rustenburg\n", + "Calculating average based on intra region area: all for bus: Waterberg\n", + "Calculating average based on intra region area: all for bus: Polokwane\n", + "Calculating average based on intra region area: all for bus: Warmbad\n", + "Calculating average based on intra region area: all for bus: Pretoria\n", + "Calculating average based on intra region area: all for bus: Johannesburg\n", + "Calculating average based on intra region area: all for bus: Nigel\n", + "Calculating average based on intra region area: all for bus: Highveld South\n", + "Calculating average based on intra region area: all for bus: Highveld North\n", + "Calculating average based on intra region area: all for bus: Lowveld\n", + "Calculating average based on intra region area: all for bus: Newcastle\n", + "Calculating average based on intra region area: all for bus: Empangeni\n", + "Calculating average based on intra region area: redz for bus: Namaqualand\n", + "Calculating average based on intra region area: redz for bus: West Coast\n", + "Calculating average based on intra region area: redz for bus: Peninsula\n", + "Calculating average based on intra region area: redz for bus: Southern Cape\n", + "Calculating average based on intra region area: redz for bus: Port Elizabeth\n", + "Calculating average based on intra region area: redz for bus: Karoo\n", + "Calculating average based on intra region area: redz for bus: Kimberley\n", + "Calculating average based on intra region area: redz for bus: Carletonville\n", + "Calculating average based on intra region area: redz for bus: Welkom\n", + "Calculating average based on intra region area: redz for bus: Bloemfontein\n", + "Calculating average based on intra region area: redz for bus: East London\n", + "Calculating average based on intra region area: redz for bus: Pinetown\n", + "Calculating average based on intra region area: redz for bus: Ladysmith\n", + "Calculating average based on intra region area: redz for bus: Vaal Triangle\n", + "Calculating average based on intra region area: redz for bus: West Rand\n", + "Calculating average based on intra region area: redz for bus: Rustenburg\n", + "Calculating average based on intra region area: redz for bus: Waterberg\n", + "Calculating average based on intra region area: redz for bus: Polokwane\n", + "Calculating average based on intra region area: redz for bus: Warmbad\n", + "Calculating average based on intra region area: redz for bus: Pretoria\n", + "Calculating average based on intra region area: redz for bus: Johannesburg\n", + "Calculating average based on intra region area: redz for bus: Nigel\n", + "Calculating average based on intra region area: redz for bus: Highveld South\n", + "Calculating average based on intra region area: redz for bus: Highveld North\n", + "Calculating average based on intra region area: redz for bus: Lowveld\n", + "Calculating average based on intra region area: redz for bus: Newcastle\n", + "Calculating average based on intra region area: redz for bus: Empangeni\n", + "Calculating average based on intra region area: corridors for bus: Namaqualand\n", + "Calculating average based on intra region area: corridors for bus: West Coast\n", + "Calculating average based on intra region area: corridors for bus: Peninsula\n", + "Calculating average based on intra region area: corridors for bus: Southern Cape\n", + "Calculating average based on intra region area: corridors for bus: Port Elizabeth\n", + "Calculating average based on intra region area: corridors for bus: Karoo\n", + "Calculating average based on intra region area: corridors for bus: Kimberley\n", + "Calculating average based on intra region area: corridors for bus: Carletonville\n", + "Calculating average based on intra region area: corridors for bus: Welkom\n", + "Calculating average based on intra region area: corridors for bus: Bloemfontein\n", + "Calculating average based on intra region area: corridors for bus: East London\n", + "Calculating average based on intra region area: corridors for bus: Pinetown\n", + "Calculating average based on intra region area: corridors for bus: Ladysmith\n", + "Calculating average based on intra region area: corridors for bus: Vaal Triangle\n", + "Calculating average based on intra region area: corridors for bus: West Rand\n", + "Calculating average based on intra region area: corridors for bus: Rustenburg\n", + "Calculating average based on intra region area: corridors for bus: Waterberg\n", + "Calculating average based on intra region area: corridors for bus: Polokwane\n", + "Calculating average based on intra region area: corridors for bus: Warmbad\n", + "Calculating average based on intra region area: corridors for bus: Pretoria\n", + "Calculating average based on intra region area: corridors for bus: Johannesburg\n", + "Calculating average based on intra region area: corridors for bus: Nigel\n", + "Calculating average based on intra region area: corridors for bus: Highveld South\n", + "Calculating average based on intra region area: corridors for bus: Highveld North\n", + "Calculating average based on intra region area: corridors for bus: Lowveld\n", + "Calculating average based on intra region area: corridors for bus: Newcastle\n", + "Calculating average based on intra region area: corridors for bus: Empangeni\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Namaqualand\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: West Coast\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Peninsula\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Southern Cape\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Port Elizabeth\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Karoo\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Kimberley\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Carletonville\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Welkom\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Bloemfontein\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: East London\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Pinetown\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Ladysmith\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Vaal Triangle\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: West Rand\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Rustenburg\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Waterberg\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Polokwane\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Warmbad\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Pretoria\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Johannesburg\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Nigel\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Highveld South\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Highveld North\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Lowveld\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Newcastle\n", + "Calculating average based on intra region area: redz_corridors_eia for bus: Empangeni\n" + ] + } + ], + "source": [ + "for module in [\"csir\"]:\n", + "\n", + " for r in [1, 27]:\n", + " availability_matrix = xr.open_dataarray(f\"availability/availability_matrix_{r}.nc\")\n", + " csir_fise = pd.read_excel(\"csir_fise_SWA_data.xlsx\", sheet_name = f\"{r}-wind\", index_col=0, parse_dates=True)\n", + " csir_fise = csir_fise.iloc[1:]\n", + " csir_fise.index = pd.DatetimeIndex(csir_fise.index)\n", + " csir_fise = csir_fise[~((csir_fise.index.month == 2) & (csir_fise.index.day == 29))]\n", + "\n", + " csir_fise = pd.concat(\n", + " [csir_fise]\n", + " * int(np.ceil(len(cutout.data.coords[\"time\"].values) / len(csir_fise))),\n", + " ignore_index=True,\n", + " ) \n", + " csir_fise = csir_fise.iloc[:len(cutout.data.coords[\"time\"].values)]\n", + "\n", + " timeseries = xr.DataArray(\n", + " coords = {\n", + " \"time\": cutout.data.coords[\"time\"].values, \n", + " \"bus\": availability_matrix.coords[\"bus\"], \n", + " \"intra_region\": [\"all\", \"redz\", \"corridors\", \"redz_corridors_eia\"]},\n", + " dims = [\"time\", \"bus\", \"intra_region\"],\n", + " )\n", + "\n", + " for intra_region in timeseries.coords[\"intra_region\"].values:\n", + " for bus in availability_matrix.coords[\"bus\"].values:\n", + " print(f\"Calculating average based on intra region area: {intra_region} for bus: {bus}\")\n", + " timeseries.loc[dict(bus=bus, intra_region=intra_region)] = csir_fise[bus].values\n", + "\n", + " timeseries.to_netcdf(f\"timeseries_data/extendable_wind_{module}_{r}.nc\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pypsa-earth-updated", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/pre_processing/resource_processing/prepare_fixed_solar_pv.ipynb b/pre_processing/resource_processing/prepare_fixed_solar_pv.ipynb new file mode 100644 index 0000000..2a03990 --- /dev/null +++ b/pre_processing/resource_processing/prepare_fixed_solar_pv.ipynb @@ -0,0 +1,596 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Overview\n", + "This notebook compares the predicted solar PV generation profiles at each existing REIPPPP site.\n", + "The aggregated fleet production is then validated against actual Eskom data from https://www.eskom.co.za/dataportal/.\n", + "\n", + "Solar resource data is sourced from:\n", + " - ERA5\n", + " - ERA5 data can be downloaded through the Copernicus Climate Data Store cdsapi package, and requires \n", + "registration and setup as per https://cds.climate.copernicus.eu/api-how-to. (See notebook prepare_atlite_cutouts.ipynb)\n", + " - SARAH \n", + " - SARAH data can be downloaded via from EUMETSAT CMSAF using the portal https://wui.cmsaf.eu/safira/action/viewProduktSearch\n", + "Surface Incoming Direct Radiation (SID), Surface Incoming Shortwave Radiation (SIS) and Direct Normal Irradiance (DNI) should be downloaded\n", + "and extracted into the sarah_dir path. (See notebook prepare_atlite_cutouts.ipynb)\n", + "- NREL NSRDB\n", + " - The NREL National Solar Resource Database (NSRDB) can be accessed through either a range of options\n", + " - Via developer API (see https://developer.nrel.gov/docs/solar/nsrdb/)\n", + " - Through System Advisor Model (SAM) software\n", + " - Via the NREL Highly Scalable Data Service (see https://github.com/NREL/hsds-examples)\n", + "\n", + " - The NSRDB data used in this notebook was accessed through SAM. A series (lat,lon) points were generated at the center of each ERA5 grid cell\n", + "and then imported into SAM. The csv file for the ERA5 grid points can be found under XXX\n", + "\n", + "- CSIR and Fraunhofer Solar Wind Aggregation Study for South Africa\n", + "\n", + "Recreating data using atlite and ERA5 is simpler than using atlite with SARAH or using NSRDB. Both python libraries include PV models for fixed and tracking configuorations.\n", + "\n", + "The raw solar resource data is converted into power generation profiles using 2 python libraries.\n", + "- Atlite (see https://atlite.readthedocs.io/en/latest/)\n", + "- PySAM by NREL (see https://nrel-pysam.readthedocs.io/en/main/)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import atlite\n", + "import xarray as xr\n", + "import pandas as pd\n", + "import PySAM.Pvwattsv8 as pv\n", + "import numpy as np\n", + "import os\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from shapely import Point\n", + "import geopandas as gpd\n", + "\n", + "from _helpers import (\n", + " get_nsrdb_weather_file,\n", + " aggregate_intra_region,\n", + " generate_pv_timeseries,\n", + " reshape_xarray,\n", + " load_gis_data,\n", + " find_closest_nsrdb_file,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Load input data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# load REIPPPP plant data\n", + "reippp_data = pd.read_csv('reipppp_solar_data.csv', index_col=1)\n", + "reippp_data[\"ignore\"] = reippp_data[\"COD\"].isna()\n", + "reippp_data[\"COD\"] = pd.to_datetime(reippp_data[\"COD\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading Eskom Supply Regions from ../../data/bundle/rsa_supply_regions.gpkg\n", + "Loading EIA applications from ../../data/bundle/REEA_OR_2023_Q3.shp\n", + "Loading REDZs from ../../data/bundle/REDZs.shp\n", + "Loading Power Corridors from ../../data/bundle/Power_corridors.shp\n", + "Loading SACAD from ../../data/bundle/SACAD_OR_2023_Q3.shp\n", + "Loading SAPAD from ../../data/bundle/SAPAD_OR_2023_Q3.shp\n", + "Loading SKA exclusion from ../../data/bundle/SKA/SKA_exclusion.shp\n" + ] + } + ], + "source": [ + "data_bundle_path = \"../../data/bundle\"\n", + "gis_data = load_gis_data(data_bundle_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# atlite ERA5 and SARAH" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[########################################] | 100% Completed | 6.57 s\n", + "[########################################] | 100% Completed | 7.93 s\n", + "[########################################] | 100% Completed | 15.93 s\n", + "[########################################] | 100% Completed | 18.29 s\n" + ] + } + ], + "source": [ + "# load cutouts - already downloaded\n", + "cutout_era5 = atlite.Cutout(\n", + " path=\"../../cutouts/RSA-2010_22-era5.nc\",\n", + " chunks={\"time\": 1000},\n", + ")\n", + "cutout_era5.data = cutout_era5.data.sel(time=slice(\"2017-01-01\", \"2022-12-31\"))\n", + "cutout_era5.data = cutout_era5.data.sel(time=~((cutout_era5.data.time.dt.month == 2) & (cutout_era5.data.time.dt.day == 29)))\n", + "\n", + "era5_ft = generate_pv_timeseries(cutout_era5, \"Fixed Tilt\", dc_ac_ratio=1, module=\"era5\") #dc-ac ratio implemented later in code, set as 1 here\n", + "era5_sat = generate_pv_timeseries(cutout_era5, \"Single Axis\", dc_ac_ratio=1, module=\"era5\") #dc-ac ratio implemented later in code, set as 1 here\n", + "era5_pu_ds = xr.Dataset({\"Fixed Tilt\": era5_ft, \"Single Axis\": era5_sat})\n", + "\n", + "cutout_sarah = atlite.Cutout(\n", + " path=\"../../cutouts/RSA-2017_22-sarah.nc\",\n", + " chunks={\"time\": 1000},\n", + ")\n", + "cutout_sarah.data = cutout_sarah.data.sel(time=slice(\"2017-01-01\", \"2022-12-31\"))\n", + "cutout_sarah.data = cutout_sarah.data.sel(time=~((cutout_sarah.data.time.dt.month == 2) & (cutout_sarah.data.time.dt.day == 29)))\n", + "\n", + "cutout_sarah.data = cutout_sarah.data.interp(y=cutout_era5.grid.y.unique(), x=cutout_era5.grid.x.unique(), method=\"linear\")\n", + "cutout_sarah = cutout_sarah.merge(cutout_era5, compat=\"override\")\n", + "\n", + "sarah_ft = generate_pv_timeseries(cutout_sarah, \"Fixed Tilt\", dc_ac_ratio=1, module=\"sarah\") #dc-ac ratio implemented later in code, set as 1 here\n", + "sarah_sat = generate_pv_timeseries(cutout_sarah, \"Single Axis\", dc_ac_ratio=1, module=\"sarah\") #dc-ac ratio implemented later in code, set as 1 here\n", + "sarah_pu_ds = xr.Dataset({\"Fixed Tilt\": sarah_ft, \"Single Axis\": sarah_sat})" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "era5_power = pd.DataFrame(\n", + " 0,\n", + " index = cutout_era5.coords[\"time\"].values,\n", + " columns = reippp_data.index\n", + ")\n", + "capacity = era5_power.copy()\n", + "sarah_power = era5_power.copy()\n", + "\n", + "era5_pu = era5_power.copy()\n", + "sarah_pu = era5_power.copy()\n", + "\n", + "for idx, row in reippp_data.iterrows():\n", + " \n", + " era5_pu[idx] = era5_pu_ds[row[\"Type\"]].sel(lat=row[\"latitude\"], lon=row[\"longitude\"], method=\"nearest\").to_series()\n", + " era5_pu[idx] = (era5_pu[idx] * row[\"dc_ac_ratio\"]).clip(upper=1)\n", + " \n", + " instl_cap = pd.Series(row[\"capacity\"], index = era5_pu.index)\n", + " instl_cap[instl_cap.index < row[\"COD\"]] = 0\n", + " capacity[idx] = instl_cap\n", + " if row[\"ignore\"]:\n", + " capacity[idx] = 0\n", + " era5_power[idx] = era5_pu[idx] * capacity[idx]\n", + "\n", + " sarah_pu[idx] = sarah_pu_ds[row[\"Type\"]].sel(lat=row[\"latitude\"], lon=row[\"longitude\"], method=\"nearest\").to_series()\n", + " sarah_pu[idx] = (sarah_pu[idx] * row[\"dc_ac_ratio\"]).clip(upper=1)\n", + " sarah_power[idx] = sarah_pu[idx] * capacity[idx]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# remove any 29 Feb on leap years\n", + "era5_power = era5_power[~((era5_power.index.month == 2) & (era5_power.index.day == 29))]\n", + "sarah_power = sarah_power[~((sarah_power.index.month == 2) & (sarah_power.index.day == 29))]\n", + "era5_pu = era5_pu[~((era5_pu.index.month == 2) & (era5_pu.index.day == 29))]\n", + "sarah_pu = sarah_pu[~((sarah_pu.index.month == 2) & (sarah_pu.index.day == 29))]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CSIR and Fraunhofer SWA Study" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# Only available for RSA as single region or as 27 Supply Regions\n", + "csir_fise = pd.read_excel(\"csir_fise_SWA_data.xlsx\", sheet_name = \"27-solar_pv\", index_col=0, parse_dates=True)\n", + "csir_fise = csir_fise.iloc[1:]\n", + "csir_fise.index = pd.DatetimeIndex(csir_fise.index)\n", + "csir_fise = csir_fise[~((csir_fise.index.month == 2) & (csir_fise.index.day == 29))]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/pklein/.local/lib/python3.10/site-packages/IPython/core/interactiveshell.py:3448: FutureWarning: The `op` parameter is deprecated and will be removed in a future release. Please use the `predicate` parameter instead.\n", + " if await self.run_code(code, result, async_=asy):\n" + ] + } + ], + "source": [ + "points_gdf = [Point(lon, lat) for lon,lat in reippp_data[[\"longitude\", \"latitude\"]].values]\n", + "points_gdf = gpd.GeoDataFrame(geometry=points_gdf, crs=\"EPSG:4326\")\n", + "region_list = gpd.sjoin(points_gdf,gis_data[\"supply_regions\"][27],how=\"left\",op=\"within\")[\"name\"]\n", + "reippp_data[\"csir_region\"] = region_list.values\n", + "\n", + "# Only 1 year is available in CSIR-FISE data which gets repeated to fill up according to the REIPPPP data\n", + "csir_pu = pd.DataFrame(\n", + " index = era5_pu.index,\n", + " columns = reippp_data.index\n", + ")\n", + "\n", + "for idx, row in reippp_data.iterrows():\n", + " for y in range(2017, 2023):\n", + " csir_pu.loc[csir_pu.index.year == y, idx] = csir_fise[row[\"csir_region\"]].values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# NSRDB and PySAM\n", + "This code assumes that data points for each reippp site have been downloaded from the available NREL platforms" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "sam_path = \"../../data/weather/NREL SAM weather files/REIPPPP/\"\n", + "\n", + "pv_model = pv.new()\n", + "pv_inputs_ft ={\n", + "\t\t\"use_wf_albedo\" : 1,\n", + "\t\t\"system_capacity\" : 120000,\n", + "\t\t\"module_type\" : 1,\n", + "\t\t\"dc_ac_ratio\" : 1,\n", + "\t\t\"bifaciality\" : 0,\n", + "\t\t\"array_type\" : 0,\n", + "\t\t\"azimuth\" : 0,\n", + "\t\t\"gcr\" : 0.1,\n", + "\t\t\"soiling\" : [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", + "\t\t\"losses\" : 11.42,\n", + "\t\t\"en_snowloss\" : 0,\n", + "\t\t\"inv_eff\" : 96,\n", + "\t\t\"batt_simple_enable\" : 0,\n", + "\t\t\"constant\" : 0\n", + "\t}\n", + "pv_inputs_sat={\n", + "\t\"use_wf_albedo\" : 1,\n", + "\t\"system_capacity\" : 120000,\n", + "\t\"module_type\" : 1,\n", + "\t\"dc_ac_ratio\" : 1.15,\n", + "\t\"bifaciality\" : 0,\n", + "\t\"array_type\" : 2,\n", + "\t\"tilt\" : 0,\n", + "\t\"azimuth\" : 0,\n", + "\t\"gcr\" : 0.3,\n", + "\t\"soiling\" : [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", + "\t\"losses\" : 11.42, \n", + "\t\"en_snowloss\" : 0,\n", + "\t\"inv_eff\" : 96,\n", + "\t\"batt_simple_enable\" : 0,\n", + "\t\"constant\" : 0\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "sam_files = os.listdir(sam_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n", + "/media/pklein/Data/Shared Github/pypsa-za2/pre_processing/resource_processing/_helpers.py:220: UserWarning: Geometry is in a geographic CRS. Results from 'distance' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + "\n", + " points_gdf[\"distance\"] = points_gdf.distance(reippp_point)\n" + ] + } + ], + "source": [ + "# run through all gpd coordinates and get the capacity factor for each\n", + "pysam_power = pd.DataFrame(index = pd.date_range('2017-01-01 00:00','2019-12-31 23:00',freq='H'),columns=reippp_data.index)\n", + "pysam_pu = pysam_power.copy()\n", + "for idx, row in reippp_data.iterrows():\n", + " if not row[\"ignore\"]:\n", + "\n", + " for y in [2017,2018,2019]:\n", + " # Try load file with lat,lon directly else find closest available file\n", + " try:\n", + " lat = row[\"latitude\"]\n", + " lon = row[\"longitude\"]\n", + " path = f\"{sam_path}{lat}_{lon}\"\n", + " file = get_nsrdb_weather_file(path, 60, y) \n", + " except:\n", + " lat,lon = find_closest_nsrdb_file((lat,lon), sam_files)\n", + " path = f\"{sam_path}{lat}_{lon}\"\n", + " file = get_nsrdb_weather_file(path, 60, y) \n", + "\n", + " if row['Type'] =='Fixed Tilt':\n", + " pv_inputs = pv_inputs_ft.copy()\n", + " pv_inputs['tilt'] = -row['latitude']\n", + " if row['BW'] <=2:\n", + " pv_inputs[\"module_type\"]=0\n", + " else:\n", + " pv_inputs = pv_inputs_sat.copy()\n", + "\n", + " pv_inputs['solar_resource_file'] = f\"{os.getcwd()}/{path}/{file}\"\n", + " pv_inputs['dc_ac_ratio'] = row['dc_ac_ratio']\n", + "\n", + " # iterate through the input key-value pairs and set the module inputs\n", + " for k, v in pv_inputs.items():\n", + " if k != 'number_inputs':\n", + " pv_model.value(k, v)\n", + "\n", + " # run the module\n", + " pv_model.execute()\n", + " pysam_pu.loc[str(y),idx] = (pd.Series(pv_model.Outputs.ac)/(pv_inputs['system_capacity']/pv_inputs['dc_ac_ratio']*1000)).values\n", + "\n", + " instl_cap = pd.Series(row[\"capacity\"], index = pysam_pu.index)\n", + " instl_cap[instl_cap.index < row[\"COD\"]] = 0\n", + " capacity[idx] = instl_cap\n", + " pysam_power[idx] = pysam_pu[idx] * capacity[idx]\n", + "\n", + "pysam_power = pysam_power.fillna(0)\n", + "pysam_pu = pysam_pu.fillna(0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Export data to NetCDF" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "for module in [\"era5\",\"sarah\",\"csir\"]:\n", + "\n", + " timeseries = xr.DataArray(\n", + " np.zeros((len(era5_pu), len(era5_pu.columns), 2)),\n", + " coords = {\"time\": era5_pu.index, \"plant\": era5_pu.columns.values, \"param\": [\"power\", \"pu\"]},\n", + " dims = [\"time\", \"plant\", \"param\"]\n", + " )\n", + " if module == \"era5\":\n", + " timeseries.loc[dict(plant=era5_pu.columns.values, param=\"pu\")] = era5_pu.values\n", + " timeseries.loc[dict(plant=era5_pu.columns.values, param=\"power\")] = era5_power.values\n", + " elif module == \"sarah\":\n", + " timeseries.loc[dict(plant=sarah_pu.columns.values, param=\"pu\")] = sarah_pu.values\n", + " timeseries.loc[dict(plant=sarah_pu.columns.values, param=\"power\")] = sarah_power.values\n", + " elif module==\"csir\":\n", + " timeseries.loc[dict(plant=csir_pu.columns.values, param=\"pu\")] = csir_pu.values\n", + " else:\n", + " timeseries.loc[dict(plant=pysam_pu.columns.values, param=\"pu\")] = pysam_pu.values\n", + " timeseries.loc[dict(plant=pysam_pu.columns.values, param=\"power\")] = pysam_power.values\n", + "\n", + " timeseries.to_netcdf(f\"timeseries_data/fixed_solar_pv_{module}.nc\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "atlite", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/pre_processing/resource_processing/prepare_fixed_wind.ipynb b/pre_processing/resource_processing/prepare_fixed_wind.ipynb new file mode 100644 index 0000000..523c2b9 --- /dev/null +++ b/pre_processing/resource_processing/prepare_fixed_wind.ipynb @@ -0,0 +1,398 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Overview\n", + "This notebook compares the predicted wind generation profiles at each existing REIPPPP site.\n", + "The aggregated fleet production is then validated against actual Eskom data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import atlite\n", + "import xarray as xr\n", + "import pandas as pd\n", + "import numpy as np\n", + "import os\n", + "import matplotlib.pyplot as plt\n", + "from geopy.distance import great_circle\n", + "from shapely.geometry import Point\n", + "import rioxarray\n", + "import rasterio\n", + "\n", + "import warnings\n", + "warnings.filterwarnings('ignore')\n", + "\n", + "from _helpers import(\n", + " load_turbine_power_curves,\n", + " generate_wind_timeseries,\n", + " find_closest_wasa_file,\n", + " load_gis_data,\n", + ")\n", + "\n", + "import geopandas as gpd" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# apply Global Wind Atlas correction\n", + "apply_ws_correction = True" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Load input data" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "turbine_class, turbine_power_curves = load_turbine_power_curves('../../data/turbine_power_curves.csv')\n", + "\n", + "# load REIPPPP plant data\n", + "reippp_data = pd.read_csv('reipppp_wind_data.csv', index_col=0)\n", + "reippp_data[\"ignore\"] = reippp_data[\"COD\"].isna()\n", + "reippp_data[\"COD\"] = pd.to_datetime(reippp_data[\"COD\"])\n", + "\n", + "#load Eskom data portal data\n", + "eskom_data = pd.read_csv('../../data/eskom_data.csv', index_col=0, parse_dates=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading Eskom Supply Regions from ../../data/bundle/rsa_supply_regions.gpkg\n", + "Loading EIA applications from ../../data/bundle/REEA_OR_2023_Q3.shp\n", + "Loading REDZs from ../../data/bundle/REDZs.shp\n", + "Loading Power Corridors from ../../data/bundle/Power_corridors.shp\n", + "Loading SACAD from ../../data/bundle/SACAD_OR_2023_Q3.shp\n", + "Loading SAPAD from ../../data/bundle/SAPAD_OR_2023_Q3.shp\n", + "Loading SKA exclusion from ../../data/bundle/SKA/SKA_exclusion.shp\n" + ] + } + ], + "source": [ + "data_bundle_path = \"../../data/bundle\"\n", + "gis_data = load_gis_data(data_bundle_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# atlite ERA5" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# load cutouts - already downloaded\n", + "cutout_era5 = atlite.Cutout(\n", + " path=\"../../cutouts/RSA-2010_22-era5.nc\",\n", + " chunks={\"time\": 1000},\n", + ")\n", + "\n", + "cutout_era5.data = cutout_era5.data.sel(time=slice(\"2017\",\"2022\"))\n", + "cutout_era5.data = cutout_era5.data.sel(time=~((cutout_era5.data.time.dt.month == 2) & (cutout_era5.data.time.dt.day == 29)))" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if apply_ws_correction:\n", + " gwa_data = rioxarray.open_rasterio(\"../../data/bundle/ZAF_wind-speed_100m.tif\")\n", + " ds=gwa_data.sel(band=1, x=slice(*cutout_era5.extent[[0,1]]), y=slice(*cutout_era5.extent[[3,2]]))\n", + " ds=ds.where(ds!=-999)\n", + " ds=atlite.gis.regrid(ds,cutout_era5.data.x, cutout_era5.data.y,resampling=rasterio.warp.Resampling.average)\n", + "\n", + " bias_correction = ds/cutout_era5.data.wnd100m.mean(\"time\") \n", + " bias_correction=bias_correction.fillna(1)\n", + " fig, ax = plt.subplots()\n", + " bias_correction.plot(ax=ax)\n", + " ax.set_xlim(16,34)\n", + " ax.set_ylim(-35,-22)\n", + "\n", + " cutout_era5.data.wnd100m.values=(bias_correction*cutout_era5.data.wnd100m).transpose('time', 'y', 'x').values" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "for hub_height in range(60, 121, 5):\n", + " cutout_era5.data[f\"wnd{hub_height}m\"] = atlite.wind.extrapolate_wind_speed(cutout_era5.data, hub_height, from_height=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "era5_power = pd.DataFrame(0, index = cutout_era5.coords[\"time\"].values, columns = reippp_data.index)\n", + "era5_pu = era5_power.copy()\n", + "\n", + "for plant, row in reippp_data.iterrows():\n", + " \n", + " # search cutout.grid fo the closest cell to the plant\n", + " point = Point(row[\"longitude\"], row[\"latitude\"])\n", + " nearest_point = cutout_era5.grid.geometry.distance(point).idxmin()\n", + " cell_name = cutout_era5.grid.loc[nearest_point].name\n", + " close_hub_height = min(range(60, 121, 5), key=lambda x:abs(x-row[\"hub_height\"]))\n", + " \n", + " avg_hub_wind_speed = cutout_era5.data[f\"wnd{close_hub_height}m\"].sel(y=row[\"latitude\"], x=row[\"longitude\"], method=\"nearest\").mean(\"time\").values\n", + " turb_class=3\n", + " if avg_hub_wind_speed>8.5:\n", + " turb_class=1\n", + " elif (avg_hub_wind_speed<7.5) & (avg_hub_wind_speed>6.5):\n", + " turb_class=2\n", + "\n", + " turbine = turbine_class[turb_class]\n", + " turbine[\"hub_height\"] = hub_height\n", + "\n", + " era5_pu[plant] = pd.Series(\n", + " cutout_era5.wind(\n", + " turbine=turbine, \n", + " shapes=cutout_era5.grid.iloc[cell_name:cell_name+1], \n", + " smooth=False, \n", + " add_cutout_windspeed=True, \n", + " per_unit=True\n", + " ).values[:,0],\n", + " index = cutout_era5.coords[\"time\"].values, \n", + " )\n", + "\n", + " instl_cap = pd.Series(row[\"capacity\"], index = era5_pu.index)\n", + " instl_cap[instl_cap.index < row[\"COD\"]] = 0\n", + " capacity= instl_cap\n", + " if row[\"ignore\"]:\n", + " capacity = 0\n", + " era5_power[plant] = era5_pu[plant] * capacity" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# WASA" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "WASA\n", + "This code assumes that data points for each reippp site have been downloaded from the available WASA timeseries dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "def wind_power_calc(data, power_curve, turbine_class):\n", + " return np.interp(data, power_curve.index, power_curve[f\"Class {turbine_class}\"].values)\n", + "\n", + "wasa_files = []\n", + "for root, dirs, files in os.walk(\"../../data/weather/WASA weather files\"):\n", + " wasa_files.extend(file for file in files if file.endswith(\".csv\") and file.startswith(\"lat\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "date_range = cutout_era5.coords[\"time\"].values\n", + "wasa_power=pd.DataFrame(0,index=date_range, columns=reippp_data.index)\n", + "wasa_pu = wasa_power.copy()\n", + "for plant, row in reippp_data.iterrows():\n", + " filename = find_closest_wasa_file((row[\"latitude\"],row[\"longitude\"]), wasa_files)\n", + " wind_data = pd.read_csv(f\"../../data/weather/WASA weather files/{filename}\",index_col=0,skiprows=8,parse_dates=True).resample('H').mean()\n", + " idx = wind_data.index.intersection(date_range)\n", + " wind_data = wind_data.loc[idx]\n", + "\n", + " try:\n", + " hub_height = row['hub_height']\n", + " except:\n", + " hub_height=100\n", + "\n", + " if int(hub_height) not in [60,100,120,160]:\n", + " wind_speed = pd.concat([wind_data[['S60','S100','S120','S160']].interpolate(), pd.Series(index=wind_data.index,name='hub_height')],axis=1)\n", + " wind_speed = wind_speed.rename(columns={'S60':60,'S100':100,'S120':120,'S160':160,'hub_height':hub_height})\n", + " wind_speed.sort_index(axis=1,inplace=True)\n", + " hub_wind_speed = wind_speed.interpolate(\"pchip\", axis=1)[hub_height]\n", + " else:\n", + " hub_wind_speed = wind_data[f\"S{int(hub_height)}\"]\n", + " \n", + " avg_hub_wind_speed = hub_wind_speed.mean()\n", + " \n", + " turb_class=3\n", + " if avg_hub_wind_speed>8.5:\n", + " turb_class=1\n", + " elif (avg_hub_wind_speed<7.5) & (avg_hub_wind_speed>6.5):\n", + " turb_class=2 \n", + "\n", + " instl_cap = pd.Series(row[\"capacity\"], index = wasa_power.index)\n", + " instl_cap[instl_cap.index < row[\"COD\"]] = 0\n", + "\n", + " wasa_pu.loc[wind_speed.index, plant] = pd.Series(wind_power_calc(hub_wind_speed, turbine_power_curves, turb_class), index= wind_speed.index)\n", + " capacity = instl_cap\n", + " if row[\"ignore\"]:\n", + " capacity = 0\n", + " wasa_power.loc[wind_speed.index, plant] = wasa_pu.loc[wind_speed.index, plant] * capacity\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "# remove any 29 Feb on leap years\n", + "era5_power = era5_power[~((era5_power.index.month == 2) & (era5_power.index.day == 29))]\n", + "era5_pu = era5_pu[~((era5_pu.index.month == 2) & (era5_pu.index.day == 29))]\n", + "wasa_power = wasa_power[~((wasa_power.index.month == 2) & (wasa_power.index.day == 29))]\n", + "wasa_pu = wasa_pu[~((wasa_pu.index.month == 2) & (wasa_pu.index.day == 29))]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CSIR - Fraunhofer SWA Study" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "# Only available for RSA as single region or as 27 Supply Regions\n", + "csir_fise = pd.read_excel(\"csir_fise_SWA_data.xlsx\", sheet_name = \"27-wind\", index_col=0, parse_dates=True)\n", + "csir_fise = csir_fise.iloc[1:]\n", + "csir_fise.index = pd.DatetimeIndex(csir_fise.index)\n", + "csir_fise = csir_fise[~((csir_fise.index.month == 2) & (csir_fise.index.day == 29))]\n", + "csir_fise = csir_fise.loc[\"2012\":\"2014\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "points_gdf = [Point(lon, lat) for lon,lat in reippp_data[[\"longitude\", \"latitude\"]].values]\n", + "points_gdf = gpd.GeoDataFrame(geometry=points_gdf, crs=\"EPSG:4326\")\n", + "region_list = gpd.sjoin(points_gdf,gis_data[\"supply_regions\"][27],how=\"left\",op=\"within\")[\"name\"]\n", + "reippp_data[\"csir_region\"] = region_list.values\n", + "\n", + "# Only 2 year is available in CSIR-FISE data which gets repeated to fill up according to the REIPPPP data\n", + "csir_pu = pd.DataFrame(\n", + " index = era5_pu.index,\n", + " columns = reippp_data.index\n", + ")\n", + "for idx, row in reippp_data.iterrows():\n", + " for y in range(2017, 2023, 2):\n", + " csir_pu.loc[csir_pu.index.year.isin([y, y+1]), idx] = csir_fise[row[\"csir_region\"]].values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Save and Export" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "for module in [\"era5\", \"wasa\", \"csir\"]:\n", + "\n", + " timeseries = xr.DataArray(\n", + " np.zeros((len(era5_pu), len(era5_pu.columns), 2)),\n", + " coords = {\"time\": era5_pu.index, \"plant\": era5_pu.columns.values, \"param\":[\"power\", \"pu\"]},\n", + " dims = [\"time\", \"plant\", \"param\"]\n", + " )\n", + " if module == \"era5\":\n", + " timeseries.loc[dict(plant=era5_pu.columns.values, param=\"pu\")] = era5_pu.values\n", + " timeseries.loc[dict(plant=era5_pu.columns.values, param=\"power\")] = era5_power.values\n", + " elif module == \"csir\":\n", + " timeseries.loc[dict(plant=csir_pu.columns.values, param=\"pu\")] = csir_pu.values \n", + " else:\n", + " timeseries.loc[dict(plant=wasa_pu.columns.values, param=\"pu\")] = wasa_pu.values\n", + " timeseries.loc[dict(plant=wasa_pu.columns.values, param=\"power\")] = wasa_power.values\n", + "\n", + "\n", + " timeseries.to_netcdf(f\"timeseries_data/fixed_wind_{module}.nc\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "atlite", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/pre_processing/resource_processing/prepare_rooftop_solar_pv.ipynb b/pre_processing/resource_processing/prepare_rooftop_solar_pv.ipynb new file mode 100644 index 0000000..70ebf4c --- /dev/null +++ b/pre_processing/resource_processing/prepare_rooftop_solar_pv.ipynb @@ -0,0 +1,266 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Overview\n", + "\n", + "Download population density geotiff from https://hub.worldpop.org/geodata/summary?id=43847\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import atlite\n", + "import xarray as xr\n", + "import pandas as pd\n", + "import PySAM.Pvwattsv8 as pv\n", + "import numpy as np\n", + "import os\n", + "import matplotlib.pyplot as plt\n", + "import rasterio\n", + "from _helpers import (\n", + " get_nsrdb_weather_file,\n", + " aggregate_intra_region,\n", + " generate_pv_timeseries,\n", + " reshape_xarray,\n", + ")\n", + "from rasterio.plot import show\n", + "from rasterio.features import geometry_mask\n", + "\n", + "from _helpers import load_gis_data, set_availability\n", + "import geopandas as gpd\n", + "from IPython.display import clear_output\n", + "from scipy.spatial.distance import cdist\n", + "from shapely import wkt\n", + "import concurrent.futures\n", + "\n", + "import pyogrio\n", + "from shapely.geometry import Point" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "albers_crs = {\n", + " \"proj\": \"aea\", # Albers Equal Area\n", + " \"lat_1\": 29.5, # First standard parallel\n", + " \"lat_2\": 45.5, # Second standard parallel\n", + " \"lat_0\": 23, # Latitude of projection center\n", + " \"lon_0\": -96, # Longitude of projection center\n", + " \"x_0\": 0,\n", + " \"y_0\": 0,\n", + " \"datum\": \"NAD83\",\n", + " \"units\": \"m\",\n", + " \"no_defs\": True\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "buildings = pyogrio.read_dataframe(\n", + " \"/media/pklein/1TB_SSD/Meridian Dropbox/ME Projects/03 R E S O U R C E S/Modelling data/GIS data/Buildings/hotosm_zaf_buildings_polygons_shp/hotosm_zaf_buildings_polygons.shp\"\n", + ")\n", + "buildings = buildings.to_crs(albers_crs)\n", + "buildings.sindex\n", + "buildings[\"area\"] = buildings.geometry.area" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "bin = bin.groupby([\"y\",\"x\"]).sum()[\"area\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "cutout = atlite.Cutout(\n", + " path=\"../../cutouts/RSA-2010_22-era5.nc\",\n", + " chunks={'time': 100}\n", + ")\n", + "grid = cutout.grid\n", + "grid = grid.to_crs(albers_crs)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/pklein/.local/lib/python3.10/site-packages/IPython/core/interactiveshell.py:3448: FutureWarning: The `op` parameter is deprecated and will be removed in a future release. Please use the `predicate` parameter instead.\n", + " if await self.run_code(code, result, async_=asy):\n" + ] + } + ], + "source": [ + "buildings_in_cells = gpd.sjoin(buildings, grid, op=\"within\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading Eskom Supply Regions from ../../data/bundle/rsa_supply_regions.gpkg\n", + "Loading EIA applications from ../../data/bundle/REEA_OR_2023_Q3.shp\n", + "Loading REDZs from ../../data/bundle/REDZs.shp\n", + "Loading Power Corridors from ../../data/bundle/Power_corridors.shp\n", + "Loading SACAD from ../../data/bundle/SACAD_OR_2023_Q3.shp\n", + "Loading SAPAD from ../../data/bundle/SAPAD_OR_2023_Q3.shp\n", + "Loading SKA exclusion from ../../data/bundle/SKA/SKA_exclusion.shp\n" + ] + } + ], + "source": [ + "data_bundle_path = \"../../data/bundle\"\n", + "gis_data = load_gis_data(data_bundle_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_30297/1947448932.py:1: FutureWarning: The default value of numeric_only in DataFrameGroupBy.sum is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n", + " building_area_in_cell = buildings_in_cells.groupby([\"y\",\"x\"]).sum()[\"area\"].to_xarray()\n" + ] + } + ], + "source": [ + "building_area_in_cell = buildings_in_cells.groupby([\"y\",\"x\"]).sum()[\"area\"].to_xarray()" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1\n", + "10\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/pklein/.local/lib/python3.10/site-packages/IPython/core/interactiveshell.py:3448: FutureWarning: The `op` parameter is deprecated and will be removed in a future release. Please use the `predicate` parameter instead.\n", + " if await self.run_code(code, result, async_=asy):\n", + "/home/pklein/.local/lib/python3.10/site-packages/IPython/core/interactiveshell.py:3448: FutureWarning: The `op` parameter is deprecated and will be removed in a future release. Please use the `predicate` parameter instead.\n", + " if await self.run_code(code, result, async_=asy):\n", + "/home/pklein/.local/lib/python3.10/site-packages/IPython/core/interactiveshell.py:3448: FutureWarning: The `op` parameter is deprecated and will be removed in a future release. Please use the `predicate` parameter instead.\n", + " if await self.run_code(code, result, async_=asy):\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "27\n", + "34\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/pklein/.local/lib/python3.10/site-packages/IPython/core/interactiveshell.py:3448: FutureWarning: The `op` parameter is deprecated and will be removed in a future release. Please use the `predicate` parameter instead.\n", + " if await self.run_code(code, result, async_=asy):\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "159\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/pklein/.local/lib/python3.10/site-packages/IPython/core/interactiveshell.py:3448: FutureWarning: The `op` parameter is deprecated and will be removed in a future release. Please use the `predicate` parameter instead.\n", + " if await self.run_code(code, result, async_=asy):\n" + ] + } + ], + "source": [ + "for region_num in gis_data[\"supply_regions\"].keys():\n", + " print(region_num)\n", + " bus_list = gis_data[\"supply_regions\"][region_num].name.to_list()\n", + " map_cell_to_region = gpd.sjoin(grid.to_crs(albers_crs), gis_data[\"supply_regions\"][region_num].to_crs(albers_crs), op=\"within\")[[\"x\", \"y\", \"name\"]]\n", + "\n", + " availability_matrix = xr.DataArray(\n", + " coords = {\n", + " \"bus\": bus_list, \n", + " \"y\": cutout.grid.y.unique(),\n", + " \"x\": cutout.grid.x.unique(),\n", + " },\n", + " dims = [\"bus\", \"y\",\"x\"],\n", + " )\n", + "\n", + " for bus in bus_list:\n", + " cell_list = map_cell_to_region[map_cell_to_region[\"name\"] == bus][[\"x\",\"y\"]]\n", + " mask = availability_matrix.coords['x'].isin(cell_list['x']) & availability_matrix.coords['y'].isin(cell_list['y'])\n", + " selected_data = building_area_in_cell.where(mask, drop=True)\n", + " availability_matrix.loc[dict(bus=bus, x=selected_data.coords['x'], y=selected_data.coords['y'])] = (selected_data/selected_data.sum()).values\n", + "\n", + " availability_matrix.to_netcdf(f\"availability/rooftop_availability_matrix_{region_num}.nc\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "atlite", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/pre_processing/resource_processing/prepare_single_resource_file.ipynb b/pre_processing/resource_processing/prepare_single_resource_file.ipynb new file mode 100644 index 0000000..3fdde3f --- /dev/null +++ b/pre_processing/resource_processing/prepare_single_resource_file.ipynb @@ -0,0 +1,2241 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "import xarray as xr\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "combined_da= {\n", + " \"wind_fixed_era5\": xr.open_dataarray(\"timeseries_data/fixed_wind_era5.nc\"),\n", + " \"wind_1_era5\": xr.open_dataarray(\"timeseries_data/extendable_wind_era5_1.nc\"),\n", + " \"wind_10_era5\" : xr.open_dataarray(\"timeseries_data/extendable_wind_era5_10.nc\"),\n", + " \"wind_34_era5\": xr.open_dataarray(\"timeseries_data/extendable_wind_era5_34.nc\"),\n", + " \"wind_fixed_wasa\": xr.open_dataarray(\"timeseries_data/fixed_wind_wasa.nc\"),\n", + " \"wind_1_wasa\": xr.open_dataarray(\"timeseries_data/extendable_wind_wasa_1.nc\"),\n", + " \"wind_10_wasa\": xr.open_dataarray(\"timeseries_data/extendable_wind_wasa_10.nc\"),\n", + " \"wind_34_wasa\": xr.open_dataarray(\"timeseries_data/extendable_wind_wasa_34.nc\"), \n", + " \n", + " \"wind_fixed_csir\": xr.open_dataarray(\"timeseries_data/fixed_wind_csir.nc\"),\n", + " \"wind_1_csir\": xr.open_dataarray(\"timeseries_data/extendable_wind_csir_1.nc\"),\n", + " \"wind_27_csir\": xr.open_dataarray(\"timeseries_data/extendable_wind_csir_27.nc\"),\n", + " \n", + " \"solar_pv_fixed_sarah\": xr.open_dataarray(\"timeseries_data/fixed_solar_pv_sarah.nc\"),\n", + " \"solar_pv_1_sarah\": xr.open_dataarray(\"timeseries_data/extendable_solar_pv_sarah_1.nc\").sel(_type=\"Single Axis\"),\n", + " \"solar_pv_10_sarah\": xr.open_dataarray(\"timeseries_data/extendable_solar_pv_sarah_10.nc\").sel(_type=\"Single Axis\"),\n", + " \"solar_pv_34_sarah\": xr.open_dataarray(\"timeseries_data/extendable_solar_pv_sarah_34.nc\").sel(_type=\"Single Axis\"),\n", + "\n", + " \"solar_pv_fixed_csir\": xr.open_dataarray(\"timeseries_data/fixed_solar_pv_csir.nc\"),\n", + " \"solar_pv_1_csir\": xr.open_dataarray(\"timeseries_data/extendable_solar_pv_csir_1.nc\").sel(_type=\"Fixed Tilt\"),\n", + " \"solar_pv_27_csir\": xr.open_dataarray(\"timeseries_data/extendable_solar_pv_csir_27.nc\").sel(_type=\"Fixed Tilt\"),\n", + "\n", + " \"solar_pv_rooftop_1_sarah\": xr.open_dataarray(\"timeseries_data/extendable_solar_pv_sarah_1.nc\").sel(_type=\"Rooftop\"),\n", + " \"solar_pv_rooftop_10_sarah\": xr.open_dataarray(\"timeseries_data/extendable_solar_pv_sarah_10.nc\").sel(_type=\"Rooftop\"),\n", + " \"solar_pv_rooftop_34_sarah\": xr.open_dataarray(\"timeseries_data/extendable_solar_pv_sarah_34.nc\").sel(_type=\"Rooftop\"),\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "# # Add Rooftop solar PV from extendable to Fixed as well\n", + "combined_da[\"solar_pv_rooftop_fixed_sarah\"] = xr.DataArray(\n", + " coords={\"time\":combined_da[\"solar_pv_fixed_sarah\"].coords[\"time\"], \"plant\":combined_da[\"solar_pv_10_sarah\"].coords[\"bus\"].values, \"param\":combined_da[\"solar_pv_fixed_sarah\"].coords[\"param\"]},\n", + " dims=combined_da[\"solar_pv_fixed_sarah\"].dims\n", + " )\n", + "combined_da[\"solar_pv_rooftop_fixed_sarah\"].loc[dict(param=\"pu\")] = xr.open_dataarray(\"timeseries_data/extendable_solar_pv_sarah_10.nc\").sel(_type=\"Rooftop\", intra_region=\"all\").values" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "for name, da in combined_da.items():\n", + " da.to_netcdf(\"renewable_profiles_updated.nc\", mode=\"a\", group=name)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + "\n", + "[7358400 values with dtype=float64]\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 2017-01-01 ... 2022-12-31T23:00:00\n", + " * plant (plant) \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
<xarray.DataArray (time: 113880, bus: 10, intra_region: 4)>\n",
+       "[4555200 values with dtype=float64]\n",
+       "Coordinates:\n",
+       "  * time          (time) datetime64[ns] 2010-01-01 ... 2022-12-31T23:00:00\n",
+       "  * bus           (bus) <U13 'Eastern Cape' 'Free State' ... 'Western Cape'\n",
+       "  * intra_region  (intra_region) <U18 'all' 'redz' ... 'redz_corridors_eia'
" + ], + "text/plain": [ + "\n", + "[4555200 values with dtype=float64]\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 2010-01-01 ... 2022-12-31T23:00:00\n", + " * bus (bus) \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
<xarray.DataArray (time: 87648, bus: 34, intra_region: 4)>\n",
+       "[11920128 values with dtype=float64]\n",
+       "Coordinates:\n",
+       "  * time          (time) datetime64[ns] 2010-01-01 ... 2019-12-31T23:00:00\n",
+       "  * bus           (bus) <U16 'East London' 'Gqeberha' ... 'West Coast'\n",
+       "  * intra_region  (intra_region) <U18 'all' 'redz' ... 'redz_corridors_eia'
" + ], + "text/plain": [ + "\n", + "[11920128 values with dtype=float64]\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 2010-01-01 ... 2019-12-31T23:00:00\n", + " * bus (bus) \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
<xarray.DataArray (time: 52560, plant: 64, param: 2)>\n",
+       "[6727680 values with dtype=float64]\n",
+       "Coordinates:\n",
+       "  * time     (time) datetime64[ns] 2017-01-01 ... 2022-12-31T23:00:00\n",
+       "  * plant    (plant) <U15 'Aries' 'De_Aar' ... 'Doornhoek' 'Ngonyama'\n",
+       "  * param    (param) <U5 'power' 'pu'
" + ], + "text/plain": [ + "\n", + "[6727680 values with dtype=float64]\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 2017-01-01 ... 2022-12-31T23:00:00\n", + " * plant (plant) " + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def filter_wasa_points(wasa, filter=None, bus=None, by=\"exclude\"):\n", + " if bus is not None:\n", + " return wasa[wasa.within(bus.geometry.unary_union)].reset_index(drop=True)\n", + " intersect = gpd.sjoin(wasa, filter, how=\"inner\", op='intersects')\n", + " intersect = intersect.drop(columns=['index_right'])\n", + " intersect = intersect['cleaned_file_name'].unique()\n", + " if by == \"include\":\n", + " return wasa[wasa['cleaned_file_name'].isin(intersect)]\n", + " elif by == \"exclude\":\n", + " return wasa[~wasa['cleaned_file_name'].isin(intersect)]\n", + " \n", + "wasa_gps_cleaned = filter_wasa_points(wasa_gps, gis_data[\"exclusion\"], by =\"exclude\")\n", + "\n", + "filtered_wasa_gps = {\n", + " \"all\" : wasa_gps_cleaned,\n", + " \"redz\" : filter_wasa_points(wasa_gps_cleaned, gis_data[\"redz\"], by = \"include\"), \n", + " \"corridors\" : filter_wasa_points(wasa_gps_cleaned, gis_data[\"corridors\"], by =\"include\"), \n", + " \"redz_corridors_eia\" : filter_wasa_points(wasa_gps_cleaned, gis_data[\"redz_corridors_eia\"], by = \"include\"), \n", + "}\n", + "\n", + "fig, ax=plt.subplots(figsize=(10,10))\n", + "gis_data[\"exclusion\"].plot(ax=ax, color='r', alpha=0.2)\n", + "wasa_gps.plot(ax=ax,color='r')\n", + "filtered_wasa_gps[\"redz_corridors_eia\"].plot(ax=ax, color='g')\n", + "cutout.grid.plot(ax=ax, facecolor='None', lw=0.2)\n", + "\n", + "ax.set_xlim(wasa_gps.total_bounds[0], wasa_gps.total_bounds[2])\n", + "ax.set_ylim(wasa_gps.total_bounds[1], wasa_gps.total_bounds[3])\n", + "\n", + "gis_data[\"redz\"].plot(ax=ax, color='g', alpha=0.5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Extract WASA timeseries" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "def wind_power_calc(data, power_curve, turbine_class):\n", + " return np.interp(data, power_curve.index, power_curve[f\"Class {turbine_class}\"].values)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 52%|█████▏ | 1031/2001 [09:25<14:18, 1.13it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Error processing file lat-28.2618_lon25.7564.csv: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'Index'\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 2001/2001 [18:26<00:00, 1.81it/s]\n" + ] + } + ], + "source": [ + "all_wasa_files = wasa_gps['cleaned_file_name']\n", + "raw_date_range = pd.date_range(\"1990-01-01 00:00\", \"2019-12-31 23:30\", freq='H')\n", + "date_range = pd.date_range(\"2010-01-01 00:00\", \"2019-12-31 23:30\", freq='H')\n", + "\n", + "wasa_pu = pd.DataFrame(0, index=date_range, columns=all_wasa_files)\n", + "wasa_ws = pd.Series(index=all_wasa_files)\n", + "wasa_turb_class = pd.Series(index=all_wasa_files)\n", + "\n", + "file_path = '../../data/weather/WASA weather files'\n", + "\n", + "def process_file(f):\n", + " try:\n", + " wind_data = pd.read_csv(os.path.join(file_path, f), index_col=0, skiprows=8, parse_dates=True).resample('H').mean()\n", + " wind_speed = wind_data[['S60', 'S100', 'S120', 'S160']].rename(columns={'S60': 60, 'S100': 100, 'S120': 120, 'S160': 160})\n", + " wind_speed[80] = np.nan\n", + " wind_speed[140] = np.nan\n", + " wind_speed = wind_speed.interpolate(axis=0).interpolate(axis=1)\n", + " \n", + " avg_spd = wind_speed.mean()\n", + " if avg_spd[80] > 8.5:\n", + " turbine_class = 1\n", + " hub_height = 80\n", + " elif (avg_spd[80] < 8.5) & (avg_spd[100] > 7.5):\n", + " turbine_class = 2\n", + " hub_height = 80\n", + " elif (avg_spd[100] < 7.5) & (avg_spd[100] > 6):\n", + " turbine_class = 3\n", + " hub_height = 100\n", + " elif (avg_spd[120] < 7.5) & (avg_spd[120] > 6):\n", + " turbine_class = 3\n", + " hub_height = 120\n", + " else:\n", + " turbine_class = 3\n", + " hub_height = 140\n", + "\n", + " wp = pd.Series(wind_power_calc(wind_speed[hub_height], turbine_power_curves, turbine_class), index=raw_date_range)\n", + " \n", + " return f.split('.csv')[0], avg_spd[hub_height], turbine_class, wp.loc[wasa_pu.index].values\n", + " except Exception as e:\n", + " print(f\"Error processing file {f}: {e}\")\n", + " return None\n", + "\n", + "files_to_process = [f for root, dirs, files in os.walk(file_path) for f in files]\n", + "\n", + "with ProcessPoolExecutor() as executor:\n", + " results = list(tqdm(executor.map(process_file, files_to_process), total=len(files_to_process)))\n", + "\n", + "for result in results:\n", + " if result is not None:\n", + " file_name, avg_speed, turbine_class, wp_values = result\n", + " wasa_ws[file_name] = avg_speed\n", + " wasa_pu[file_name] = wp_values\n", + " wasa_turb_class[file_name] = turbine_class\n", + "\n", + "# save wasa_pu to netcdf\n", + "wasa_pu = xr.DataArray(wasa_pu.values, coords=[date_range, wasa_pu.columns], dims=['time', 'location'])\n", + "wasa_pu.to_netcdf('timeseries_data/wasa_profiles.nc')\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pypsa-eur", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/pre_processing/resource_processing/reipppp_solar_data.csv b/pre_processing/resource_processing/reipppp_solar_data.csv new file mode 100644 index 0000000..46b90a3 --- /dev/null +++ b/pre_processing/resource_processing/reipppp_solar_data.csv @@ -0,0 +1,65 @@ +Name,Key,latitude,longitude,capacity,BW,status,COD,Type,dc_ac_ratio,capacity_peak,yield,cf_dc,cf_ac,Comment +Aries Solar,Aries,-29.496506,20.785119,9.65,1,operational,2014/03/20,Fixed Tilt,1.14,11,22000,0.228,0.26, +De Aar Solar PV,De_Aar,-30.6234,24.0283,48.25,1,operational,2014/04/05,Fixed Tilt,1.04,50,85458,0.195,0.202, +Droogfontein Solar PV Project,Droogfontein1,-28.6133,24.7468,48.25,1,operational,2014/04/06,Fixed Tilt,1.04,50,85458,0.195,0.202, +Greefspan PV Power Plant1,Greefspan1,-29.393781,23.307708,10,1,operational,2014/04/11,Single Axis,1.1,11,26967,0.28,0.308,Modified to SAT +Herbert PV Power Plant,Herbert,-29.0019,23.8019,19.9,1,operational,2014/04/11,Fixed Tilt,1.11,22,43231,0.224,0.248, +Kalkbult,Kalkbult,-30.160833,24.135833,72.5,1,operational,2014/03/19,Fixed Tilt,1.03,75,135000,0.205,0.213, +Kathu Solar Energy Facility,Kathu,-27.612908,23.025886,75,1,operational,2014/08/15,Single Axis,1.08,81,181000,0.255,0.275,Modified to SAT +Konkoonsies Solar,Konkoonsies,-28.889147,19.555275,9.65,1,operational,2014/03/20,Fixed Tilt,1.14,11,22000,0.228,0.26, +Lesedi Power Company,Lesedi,-28.3154,23.3501,64,1,operational,2014/05/21,Fixed Tilt,1.17,75,150000,0.228,0.268, +Letsatsi Power Company,Letsatsi,-28.9134,25.9199,64,1,operational,2014/05/21,Fixed Tilt,1.17,75,150000,0.228,0.268, +Mulilo Renewable Energy Solar PV De Aar,Mulilo_De_ Aar,-30.6279,24.005453,9.65,1,operational,2014/07/19,Fixed Tilt,1.04,10,19272,0.22,0.228, +Mulilo Renewable Energy Solar PV Prieska,Mulilo_Prieska,-29.967661,22.319683,19.9,1,operational,2014/10/01,Fixed Tilt,1.01,20,38544,0.22,0.221, +RustMo1 Solar Farm,RustMo1,-25.737892,27.418314,6.76,1,operational,2013/11/15,Fixed Tilt,1.04,7,12500,0.204,0.211, +SlimSun Swartland Solar Park,SlimSun,-33.35,18.529708,5,1,operational,2015/08/04,Fixed Tilt,1.2,5.98,10500,0.2,0.24, +Solar Capital De Aar,Solar_Capital,-30.604753,24.095239,75,1,operational,2014/08/15,Fixed Tilt,1.13,85,,0,0, +Soutpan Solar Park,Soutpan,-22.991667,29.251667,28,1,operational,2014/07/14,Fixed Tilt,1.11,31,61000,0.225,0.249, +Touwsrivier Project,Touwsrivier,-33.410389,19.9276,36,1,operational,2014/12/05,Single Axis,1,,,#DIV/0!,0,Modified to SAT +Witkop Solar Park,Witkop,-24.041667,29.361667,30,1,operational,2014/09/20,Single Axis,1.1,33,,0,0,Modified to SAT +Aurora,Aurora,-32.641344,18.497289,9,2,operational,2014/12/01,Fixed Tilt,1.17,10.5,,0,0, +Boshoff Solar Park,Boshoff,-28.4628,25.1891,60,2,operational,2014/10/25,Single Axis,1.1,66,132000,0.228,0.251,Modified to SAT +Jasper Power Company,Jasper,-28.3133,23.3751,75,2,operational,2014/12/17,Fixed Tilt,1.28,96,180000,0.214,0.274, +Linde,Linde,-30.9986,24.6506,36.8,2,operational,2013/06/30,Single Axis,1,,,#DIV/0!,0,Modified to SAT +Project Dreunberg,Dreunberg,-30.8373,26.2055,69.9,2,operational,2014/12/31,Fixed Tilt,1.07,75,156000,0.237,0.255, +Sishen Solar Facility,Sishen,-27.583611,22.932778,74,2,operational,2014/11/29,Single Axis,1.27,94.2,216000,0.262,0.333,Modified to SAT +Solar Capital De Aar 3,Solar_Capital2,-30.604753,24.095239,75,2,operational,2014/08/15,Fixed Tilt,1,,,#DIV/0!,0, +Upington Solar PV,Upington,-28.5493,21.1038,8.9,2,operational,2014/07/31,Fixed Tilt,1.12,10,,0,0, +Vredendal,Vredendal,-31.634886,18.505356,8.8,2,operational,2014/08/01,Fixed Tilt,1.19,10.5,,0,0, +Adams Solar PV 2,Adams,-27.378969,23.012989,75,3,operational,2017/01/23,Fixed Tilt,1.1,82.5,170000,0.235,0.259, +Electra Capital (Pty) Ltd,Electra_Capital,-32.4148,18.7379,75,3,operational,2016/10/12,Fixed Tilt,1,,,#DIV/0!,0, +Mulilo Prieska PV,Mulilo_Prieska2,-30.0375,22.317222,75,3,operational,2016/07/21,Fixed Tilt,1.15,86,180000,0.239,0.274, +Mulilo Sonnedix Prieska PV,Mulilo_Prieska3,-30.024444,22.362778,75,3,operational,2016/07/22,Single Axis,1.15,86.23,180000,0.238,0.274,Modified to SAT +Pulida Solar Park,Pulida,-29.086944,24.903333,75,3,operational,2017/01/23,Fixed Tilt,1.1,82.5,150000,0.208,0.228, +Tom Burke Solar Park,Tom_Burke,-23.072778,27.989444,60,3,operational,2016/08/01,Fixed Tilt,1.1,66,122000,0.211,0.232, +Aggeneys Solar,Aggeneys,-29.235794,18.897656,40,4,operational,2020/07/25,Single Axis,1.15,46,117000,0.29,0.334, +Droogfontein Solar Power,Droogfontein2,-26.85400239,26.64211071,75,4,operational,2020/09/01,Single Axis,1.15,86,,0,0, +Dyasons Klip 1,Dyasons_Klip1,-28.5493,21.1038,75,4,operational,2020/02/25,Single Axis,1.15,86,216500,0.287,0.33, +Dyasons Klip 2,Dyasons_Klip2,-28.5707,21.0613,75,4,operational,2020/04/01,Single Axis,1.15,86,216500,0.287,0.33, +Konkoonsies II Solar PV Facility,Konkoonsies2,-28.898811,19.557383,75,4,operational,2020/09/01,Single Axis,1.15,86,216500,0.287,0.33, +Sirius Solar PV Project One,Sirius,-28.547361,21.09495,75,4,operational,2020/02/18,Single Axis,1.15,86,215000,0.285,0.327, +Loeriesfontein Orange,Loeriesfontein,-30.91810861,19.44104346,75,4,operational,2023/12/31,Single Axis,1.15,,,#DIV/0!,0,Added placeholder COD +Greefspan PV Power Plant2,Greefspan2,-29.3857,23.3172,55,4,operational,2021/04/09,Single Axis,1.15,63.2,188822,0.341,0.392, +De Wildt,De_Wildt,-25.6332,27.9307,50,4,operational,2021/01/01,Single Axis,1.16,58,130000,0.256,0.297, +Bokamoso,Bokamoso,-27.1583,26.4009,67.9,4,operational,2020/08/01,Single Axis,1.15,78,177660,0.26,0.299, +Waterloo Solar Park,Waterloo,-27.0322,24.7931,75,4,operational,2020/11/26,Single Axis,1.15,86,180000,0.239,0.274, +Zeerust,Zeerust,-25.5748,26.0718,75,4,operational,2021/01/01,Single Axis,1.15,86,180000,0.239,0.274, +Kentani Solar Facility,Kentani,-28.6167,25.7167,75,5,failed,,Single Axis,1.15,,,#DIV/0!,0,Placeholder dc_ac_ratio +Klipfontein Solar Facility,Klipfontein1,-28.6639,25.7501,75,5,failed,,Single Axis,1.15,,,#DIV/0!,0,Placeholder dc_ac_ratio +Klipfontein 2 Solar Facility,Klipfontein2,-28.6769,25.7333,75,5,failed,,Single Axis,1.15,,,#DIV/0!,0,Placeholder dc_ac_ratio +Leliehoek Solar Facility,Leliehoek,-28.6917,25.7001,75,5,failed,,Single Axis,1.15,,,#DIV/0!,0,Placeholder dc_ac_ratio +Braklaagte Solar Facility,Braklaagte,-28.7472,25.7111,75,5,failed,,Single Axis,1.15,,,#DIV/0!,0,Placeholder dc_ac_ratio +Sonoblomo Solar Facility,Sonoblomo,-28.7472,25.7361,75,5,failed,,Single Axis,1.15,,,#DIV/0!,0,Placeholder dc_ac_ratio +Du Plessis Dam Solar PV 1,Du_Plessis,-30.6315,24.0398,75,5,construction,,Single Axis,1.15,,,#DIV/0!,0,Placeholder dc_ac_ratio +Graspan Solar PV Project,Graspan,-29.3662,24.417,75,5,construction,,Single Axis,1.15,,,#DIV/0!,0,Placeholder dc_ac_ratio +Grootspruit Solar PV Project,Grootspruit,-27.7375,26.775,75,5,construction,,Single Axis,1.15,,,#DIV/0!,0,Placeholder dc_ac_ratio +Sannaspos Solar PV Project,Sannaspos,-29.194888,26.588306,75,5,construction,,Single Axis,1.15,,,#DIV/0!,0,Placeholder dc_ac_ratio +Grootfontein PV 1,Grootfontein1,-32.9583,19.9319,75,5,construction,,Single Axis,1.15,,,#DIV/0!,0,Placeholder dc_ac_ratio +Grootfontein PV 2,Grootfontein2,-32.9583,19.9444,75,5,construction,,Single Axis,1.15,,,#DIV/0!,0,Placeholder dc_ac_ratio +Grootfontein PV 3,Grootfontein3,-32.9583,19.9528,75,5,construction,,Single Axis,1.15,,,#DIV/0!,0,Placeholder dc_ac_ratio +Kutlwano Solar Power Plant,Kutlwano,-26.029683,26.112373,150,6,awarded,,Single Axis,1.15,,,#DIV/0!,0,Placeholder dc_ac_ratio +Boitumelo Solar Power Plant,Boitumelo,-26.014162,26.105823,150,6,awarded,,Single Axis,1.15,,,#DIV/0!,0,Placeholder dc_ac_ratio +Virginia Solar Park,Virginia,-28.212335,26.990032,240,6,construction,,Single Axis,1.15,,,#DIV/0!,0,Placeholder dc_ac_ratio +Good Hope Solar Park,Good_Hope,-28.64721306,25.76110923,200,6,construction,,Single Axis,1.15,,,#DIV/0!,0,Placeholder dc_ac_ratio +Doornhoek PV,Doornhoek,-26.434,26.2843,120,6,awarded,,Single Axis,1.15,138,325000,0.269,0.309,Placeholder dc_ac_ratio +Ngonyama Solar PV,Ngonyama,-28.652538,25.653755,140,6,awarded,,Single Axis,1.15,,,#DIV/0!,0,Placeholder dc_ac_ratio diff --git a/pre_processing/resource_processing/reipppp_wind_data.csv b/pre_processing/resource_processing/reipppp_wind_data.csv new file mode 100644 index 0000000..9871e82 --- /dev/null +++ b/pre_processing/resource_processing/reipppp_wind_data.csv @@ -0,0 +1,71 @@ +Name,latitude,longitude,capacity,BW,COD,status,hub_height,turbine,turbine_size +Amakhala,-32.692,26.1083,137.9,2,2016/07/28,operational,80,Nordex,2.4 +Aurora,-32.83425,17.99561111,90.8,2,2015/06/09,operational,80,Vestas,2 +Chaba,-32.5901,27.9623,20.6,2,2015/09/30,operational,84,Vestas,3 +Cookhouse,-32.7333,25.9093,135,1,2014/11/19,operational,80,Suzlon,2.1 +Copperton,-34.1286,24.4818,102,4,2020/06/30,operational,100,Acciona,3.15 +Dassieklip,-34.2275,19.383,26.19,1,2014/02/14,operational,90,Sinovel,3 +Dorper,-31.4809,26.4393,97,3,2014/08/01,operational,80,Nordex,2.5 +Exelsior,-34.2423,20.2307,31.9,4,2020/12/23,operational,90,Goldwind,2.5 +Garob,-29.959,22.4131,135.9,4,2021/12/01,operational,100,Acciona,3.15 +Golden_valley,-32.8875,25.9418,117.72,4,2021/05/01,operational,90,Goldwind,2.5 +Gouda,-33.2564,19.0184,135.2,2,2015/09/01,operational,100,Acciona,3 +Grassridge,-33.6551,25.5915,59.8,2,2016/06/01,operational,84,Vestas,3 +Hopefield,-33.0928,18.3989,65.4,1,2014/02/01,operational,95,Vestas,1.8 +Jeffreysbay,-34.0107,24.8808,133.86,1,2014/05/01,operational,80,Siemens,2.3 +Kangnas,-29.49821666,18.3335665,136.7,4,2020/11/01,operational,115,Siemens,2.3 +Karusa,-32.8858,20.6567,139.8,4,2022/06/01,operational,91.5,Vestas,4.2 +Khobab,-30.4344,19.5538,137.7,3,2017/12/01,operational,99.5,Siemens,2.3 +Kouga,-34.14656,24.7004,77.6,1,2015/03/17,operational,80,Nordex,2.5 +Loeriesfontein2,-30.38040403,19.58928465,138.2,3,2017/12/01,operational,99.5,Siemens,2.3 +Mulilo_de_aar1,-30.71666667,23.92055556,139,3,2017/11/01,operational,80,United Power,1.5 +Mulilo_de_aar2,-30.7349,23.8665,96.5,3,2017/11/01,operational,80,United Power,1.5 +Metrowind,-33.96222,25.24444,86.6,1,2014/02/07,operational,90,Sinovel,3 +Noblesfontein,-31.75083333,23.17333333,72.75,1,2014/06/11,operational,80,Vestas,2.8 +Nojoli,-32.771,25.91566,86.6,3,2016/10/03,operational,80,Vestas,2 +Noupoort,-31.17281432,25.01644873,79.1,3,2016/06/30,operational,99.5,Siemens,2.3 +Nxuba,-32.73767,25.96684,138.9,4,2020/10/27,operational,100,Acciona,3.15 +Oyster_bay,-34.11639,24.64889,140,4,2021/07/01,operational,91.5,Vestas,3.6 +Perdekraal_east,-33.05444444,20.10027778,107.76,4,2020/10/08,operational,115,Siemens,2.3 +Gibson_bay,-34.1286,24.4818,110,1,2017/05/01,operational,91,Nordex,3 +Roggeveld,-32.91723333,20.50908889,140,4,2022/03/01,operational,100,Acciona,3.15 +Sere,-31.49685684,18.0633762,100,1,2015/03/31,operational,115,Siemens,2.3 +Soetwater,-32.754,20.6396,139.4,4,2022/07/01,operational,91.5,Vestas,4.2 +Tsitsikama,-34.0735,24.5067,94.8,2,2016/08/17,operational,94,Vestas,3 +Waainek,-32.5901,26.4569,23.4,2,2016/01/01,operational,84,Vestas,3 +Wesley_ciskei,-33.29028,27.37222,32.7,5,2021/08/01,operational,117,Vestas,3.45 +Beaufort_west,-31.760392,22.412619,140,5,,failed,100,, +Brandvalley,-33.0943,20.5792,140,5,,failed,100,, +Coleskop,-31.4022,24.8035,140,5,,construction,100,, +Dwarsrug,-30.4761,19.6527,124,5,,construction,100,, +Phezukomoya,-31.2525,24.9523,140,5,,construction,100,, +Rietkloof,-33.1914,20.5845,140,5,,failed,100,, +Rietrug,-32.6198,21.0376,140,5,,failed,100,, +San_Kraal,-29.7853,18.4065,140,5,,construction,100,, +Sutherland,-32.61546788,26.46914,140,5,,failed,100,, +Trakas,-33.0813,21.4371,140,5,,failed,100,, +Waaihoek,-33.2564,20.74230129,140,5,,construction,100,, +Wolf,-33.1538,25.5536,80,5,,construction,100,, +Maralla,-32.76741548,20.775229,153,6,,failed,100,, +Esizayo,-32.9621,20.6631,140,6,,failed,100,, +Nuweveld_north,-32.978469,22.807956,238,6,,failed,100,, +Nuweveld_west,-31.8341,22.3821,238,6,,failed,100,, +Nuweveld_east,-31.7203,23.7123,238,6,,failed,100,, +Komsberg_east,-32.7133,20.9582,240,6,,failed,100,, +Komsberg_west,-32.7298,21.0547,240,6,,failed,100,, +Loperberg,-33.668128,25.667942,240,6,,failed,100,, 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th:last-child, td:last-child { + text-align: left; +} + +table.docutils th:first-child, td:first-child { + text-align: right; +} + +table.docutils th:only-child, td:only-child { + text-align: center; +} + +table.docutils.footnote { + border: none; + text-align: left; +} + +a { + color: rgb(0, 136, 204); + text-decoration: none; +} + +a:hover { + color: rgb(0, 85, 128); + text-decoration: underline; +} + + +div.figure { + display: inline-block; + width: 10cm; + margin-left: 2em; + margin-right: 2em; +} + +img { + max-width: 100%; +} + +p.caption { + font-style: italic; +} diff --git a/resources/area_solar_corridors.csv b/resources/area_solar_corridors.csv deleted file mode 100644 index 9924169..0000000 --- a/resources/area_solar_corridors.csv +++ /dev/null @@ -1,28 +0,0 @@ -name,area_ratio,area,available_area -NAMAQUALAND,0.35638357538198434,98968.23350682989,35270.652906403135 -WEST COAST,0.34596125851098614,69720.09313931153,24120.451165979386 -PENINSULA,0.0600524912078365,11716.31933929701,703.5941641113384 -SOUTHERN CAPE,0.20949584667365034,109653.41050287843,22971.93407395386 -PORT ELIZABETH,0.2644303016152819,80714.14511712026,21343.265737939746 -KAROO,0.23692961487952574,151464.45576543547,35886.415172441586 -KIMBERLEY,0.2652649143098935,143240.81671785202,37996.76297234018 -CARLETONVILLE,0.2811738454153223,49480.73235663842,13912.687790682388 -WELKOM,0.1431438493458107,28141.594562102335,4028.2961723484623 -BLOEMFONTEIN,0.053491462938068564,56075.039143644186,2999.5358781029868 -EAST LONDON,0.2662628438937519,71892.17393677279,19142.21468610939 -PINETOWN,0.12418603075976607,45833.68945361201,5691.903968319827 -LADYSMITH,0.0,13421.066504393591,0.0 -VAAL TRIANGLE,0.22295907305966817,2434.354014426676,542.7613145556537 -WESTRAND,0.24580210529777097,2191.170956246988,538.5944341128397 -RUSTENBURG,5.3813030008159994e-05,20426.715105382777,1.0992234329340984 -WATERBERG,0.0,23611.98769251933,0.0 -POLOKWANE,0.013905923264533913,82110.50054329108,1141.822319767476 -WARMBAD,0.007844048940810805,5703.630274989095,44.73955501730465 -PRETORIA,0.12709180880737977,7092.809193475951,901.4379499244711 -JOHANNESBURG,0.1401668949324164,2143.933036636291,300.50843668833545 -NIGEL,0.1380234986200581,4547.194032764296,627.6196293063792 -HIGHVELD SOUTH,0.005688361011735983,17682.861074213266,100.5864975104986 -HIGHVELD NORTH,0.10334934049384505,15490.080165935886,1600.8895693462637 -LOWVELD,0.050696280002631856,50627.237612893965,2566.612613783048 -NEWCASTLE,0.0,30569.797753048722,0.0 -EMPANGENI,0.0,26293.868762569895,0.0 diff --git a/resources/area_solar_redz.csv b/resources/area_solar_redz.csv deleted file mode 100644 index cdb17f8..0000000 --- a/resources/area_solar_redz.csv +++ /dev/null @@ -1,28 +0,0 @@ -name,area_ratio,area,available_area -NAMAQUALAND,0.11438895226682712,98968.23226777789,11320.872396811104 -WEST COAST,0.0,69720.09274914216,0.0 -PENINSULA,0.016727065625813064,11716.319177763226,195.97963977941762 -SOUTHERN CAPE,0.06781593981255084,109653.41050147737,7436.249086809119 -PORT ELIZABETH,0.044563351925686376,80714.14512137562,3596.8928544247838 -KAROO,0.022920606617093657,151464.45581792606,3471.657208274846 -KIMBERLEY,0.11726653172913137,143240.81678140012,16797.35378600275 -CARLETONVILLE,0.005929553626346865,49480.7323568361,293.39865598077614 -WELKOM,0.008266022694181769,28141.594562120055,232.61905930094665 -BLOEMFONTEIN,0.03227913255899179,56075.03914380806,1810.0536217736342 -EAST LONDON,0.0988167895287066,71892.17393704964,7104.1538206986 -PINETOWN,0.0,45833.68945969081,0.0 -LADYSMITH,0.0,13421.066504924082,0.0 -VAAL TRIANGLE,0.0,2434.3540144273716,0.0 -WESTRAND,0.0,2191.170956247343,0.0 -RUSTENBURG,0.0,20426.71510538566,0.0 -WATERBERG,0.0,23611.98769252036,0.0 -POLOKWANE,0.0,82110.500547676,0.0 -WARMBAD,0.0,5703.630275002548,0.0 -PRETORIA,0.0,7092.809193499261,0.0 -JOHANNESBURG,0.0,2143.9330366380004,0.0 -NIGEL,0.0,4547.194032774516,0.0 -HIGHVELD SOUTH,0.0,17682.86107567371,0.0 -HIGHVELD NORTH,0.0,15490.080167379982,0.0 -LOWVELD,0.0,50627.237625866066,0.0 -NEWCASTLE,0.0,30569.79776041492,0.0 -EMPANGENI,0.0,26293.868785056216,0.0 diff --git a/resources/area_wind_corridors.csv b/resources/area_wind_corridors.csv deleted file mode 100644 index 8a324df..0000000 --- a/resources/area_wind_corridors.csv +++ /dev/null @@ -1,28 +0,0 @@ -name,area_ratio,area,available_area -NAMAQUALAND,0.35638356042092106,98968.23226777789,35270.65098415537 -WEST COAST,0.34597697860800763,69720.09274914216,24121.547037618264 -PENINSULA,0.06003737221164293,11716.319177763226,703.4170154257811 -SOUTHERN CAPE,0.20952439713949186,109653.41050147737,22975.064729611273 -PORT ELIZABETH,0.2644311706905863,80714.14512137562,21343.335885735232 -KAROO,0.23693173531960857,151464.45581792606,35886.736356181405 -KIMBERLEY,0.26526916702600106,143240.81678140012,37997.37215172604 -CARLETONVILLE,0.281201165790861,49480.7323568361,13914.03962292789 -WELKOM,0.14313281113479803,28141.594562120055,4027.985539491989 -BLOEMFONTEIN,0.05349670895872385,56075.03914380806,2999.830048925347 -EAST LONDON,0.2662668981968016,71892.17393704964,19142.50615884315 -PINETOWN,0.12421645849221946,45833.68945969081,5693.29858431496 -LADYSMITH,0.0,13421.066504924082,0.0 -VAAL TRIANGLE,0.22291622964399255,2434.3540144273716,542.6570185148671 -WESTRAND,0.2458276525528472,2191.170956247343,538.6504125162618 -RUSTENBURG,5.367213221129581e-05,20426.71510538566,1.0963453537787324 -WATERBERG,0.0,23611.98769252036,0.0 -POLOKWANE,0.013904949001036226,82110.500547676,1141.7423225649918 -WARMBAD,0.00784444780670763,5703.630275002548,44.741830001014975 -PRETORIA,0.12705240430481865,7092.809193499261,901.1584613094028 -JOHANNESBURG,0.14017598384960997,2143.9330366380004,300.5279227184136 -NIGEL,0.13799476778843012,4547.194032774516,627.4889846416544 -HIGHVELD SOUTH,0.005685760471378622,17682.86107567371,100.54051252494524 -HIGHVELD NORTH,0.10335662025801122,15490.080167379982,1601.0023336260435 -LOWVELD,0.05070553043455079,50627.237625866066,2567.0809382555867 -NEWCASTLE,0.0,30569.79776041492,0.0 -EMPANGENI,0.0,26293.868785056216,0.0 diff --git a/resources/area_wind_redz.csv b/resources/area_wind_redz.csv deleted file mode 100644 index cdb17f8..0000000 --- a/resources/area_wind_redz.csv +++ /dev/null @@ -1,28 +0,0 @@ -name,area_ratio,area,available_area -NAMAQUALAND,0.11438895226682712,98968.23226777789,11320.872396811104 -WEST COAST,0.0,69720.09274914216,0.0 -PENINSULA,0.016727065625813064,11716.319177763226,195.97963977941762 -SOUTHERN CAPE,0.06781593981255084,109653.41050147737,7436.249086809119 -PORT ELIZABETH,0.044563351925686376,80714.14512137562,3596.8928544247838 -KAROO,0.022920606617093657,151464.45581792606,3471.657208274846 -KIMBERLEY,0.11726653172913137,143240.81678140012,16797.35378600275 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21:00:00,3018.0335612758317,140.65730675381147 -2012-01-10 22:00:00,2879.333824965582,141.66325749016636 -2012-01-10 23:00:00,2756.6901094593363,142.42880969167578 -2012-01-11 00:00:00,2677.484491701578,142.60895170936772 -2012-01-11 01:00:00,2637.3235612793683,142.68855781061689 -2012-01-11 02:00:00,2618.712100939075,142.69867363638707 -2012-01-11 03:00:00,2609.3644825596148,142.71519389615867 -2012-01-11 04:00:00,2604.7873055891077,142.71021374455972 -2012-01-11 05:00:00,2602.3887087118737,142.720229941973 -2012-01-11 06:00:00,2602.5674103919705,142.72378976116798 -2012-01-11 07:00:00,2604.483473644608,142.7269562098718 -2012-01-11 08:00:00,2606.9126081343493,142.72765180841782 -2012-01-11 09:00:00,2611.740165891633,142.73516761347426 -2012-01-11 10:00:00,2618.785453402475,142.73966339742043 -2012-01-11 11:00:00,2625.401437899337,142.74310130570873 -2012-01-11 12:00:00,2631.6528722432513,142.7459718509289 -2012-01-11 13:00:00,2637.9801148587467,142.74990525284073 -2012-01-11 14:00:00,2641.9429987028025,142.74693922200206 -2012-01-11 15:00:00,2644.7717157106094,142.751473626847 -2012-01-11 16:00:00,2648.7293003793798,142.7385283432025 -2012-01-11 17:00:00,2654.264971581038,142.7200817975008 -2012-01-11 18:00:00,2660.533564246632,142.72524770233622 -2012-01-11 19:00:00,2667.8777538930976,142.69978604304072 -2012-01-11 20:00:00,2677.7669145327495,142.40939078237486 -2012-01-11 21:00:00,2692.5076970943373,142.15087697665467 -2012-01-11 22:00:00,2714.863296333725,142.0280350155253 -2012-01-11 23:00:00,2753.440907923308,141.99676351188356 -2012-01-12 00:00:00,2797.501812772269,141.85494874646457 -2012-01-12 01:00:00,2849.991554796581,141.7299223199434 -2012-01-12 02:00:00,2886.1427401427572,141.59010657825831 -2012-01-12 03:00:00,2908.833315195864,141.4626590762426 -2012-01-12 04:00:00,2923.185081250027,141.38180792218134 -2012-01-12 05:00:00,2928.193633282563,141.32085411400203 -2012-01-12 06:00:00,2930.0520624659503,141.0787352045267 -2012-01-12 07:00:00,2930.5665294428454,140.90729377359082 -2012-01-12 08:00:00,2932.3242141939522,140.58349417507006 -2012-01-12 09:00:00,2940.132335668202,140.16073589956096 -2012-01-12 10:00:00,2955.4113939086124,139.5821331955764 -2012-01-12 11:00:00,2968.958713118358,138.8773107294112 -2012-01-12 12:00:00,2974.446634589939,137.87148872351023 -2012-01-12 13:00:00,2981.8933992288553,136.46058598306206 -2012-01-12 14:00:00,3004.9148301031223,134.2476360495162 -2012-01-12 15:00:00,3051.5225645135183,132.75903777848055 -2012-01-12 16:00:00,3121.203498329988,128.37483965418764 -2012-01-12 17:00:00,3169.7169340111905,125.29234732226394 -2012-01-12 18:00:00,3184.4451601103974,123.95501263751207 -2012-01-12 19:00:00,3192.917105984549,123.33545601995002 -2012-01-12 20:00:00,3198.271947661363,123.155207422054 -2012-01-12 21:00:00,3202.533588432689,123.13216709660641 -2012-01-12 22:00:00,3207.8644909798504,123.58384559297897 -2012-01-12 23:00:00,3212.713586890794,123.91773470015106 -2012-01-13 00:00:00,3217.8878727337988,124.40286146435312 -2012-01-13 01:00:00,3221.3902185016664,124.87160743961273 -2012-01-13 02:00:00,3222.8949545644173,125.16237587681816 -2012-01-13 03:00:00,3223.643442265088,125.35211076968159 -2012-01-13 04:00:00,3224.6526719473004,125.43161894974328 -2012-01-13 05:00:00,3225.0960816573947,125.49119896672612 -2012-01-13 06:00:00,3219.6584432920095,125.85121752677574 -2012-01-13 07:00:00,3196.684425333254,126.15009600791221 -2012-01-13 08:00:00,3156.9356210438154,126.42148773893328 -2012-01-13 09:00:00,3124.733679206637,126.68318941682902 -2012-01-13 10:00:00,3092.044306627399,126.85831534667477 -2012-01-13 11:00:00,3072.594591758614,127.06331235439129 -2012-01-13 12:00:00,3064.8863712793354,127.15022704719776 -2012-01-13 13:00:00,3052.730473817005,127.37922085791851 -2012-01-13 14:00:00,3037.1177212964762,127.83640650978192 -2012-01-13 15:00:00,3017.6933464262434,128.01001847516872 -2012-01-13 16:00:00,2987.3466061708427,128.3355808030164 -2012-01-13 17:00:00,2948.123298692855,128.94693425562755 -2012-01-13 18:00:00,2922.9980205290535,131.15504947741556 -2012-01-13 19:00:00,2915.640618339765,134.20264295912452 -2012-01-13 20:00:00,2920.6202775229312,137.7920304006432 -2012-01-13 21:00:00,2924.1274139994093,140.78637552046766 -2012-01-13 22:00:00,2925.4256230095375,143.66643687695765 -2012-01-13 23:00:00,2924.906443585201,145.65267197913653 -2012-01-14 00:00:00,2927.559271117041,147.1310700554114 -2012-01-14 01:00:00,2933.1982847493714,148.80704797011157 -2012-01-14 02:00:00,2935.7779403228556,150.30607264943774 -2012-01-14 03:00:00,2934.86139897573,151.23322732222147 -2012-01-14 04:00:00,2932.64209618336,151.85352258362533 -2012-01-14 05:00:00,2929.4146895787785,152.24080715307628 -2012-01-14 06:00:00,2929.168874081851,152.6625236502952 -2012-01-14 07:00:00,2932.408194870901,153.26988654644205 -2012-01-14 08:00:00,2940.261573464565,153.70291980117042 -2012-01-14 09:00:00,2949.1562905021797,153.836488237794 -2012-01-14 10:00:00,2957.998308243322,153.89788208106776 -2012-01-14 11:00:00,2969.620117880797,153.9389352722596 -2012-01-14 12:00:00,2985.9052890930225,154.06273632068414 -2012-01-14 13:00:00,3007.647189059793,154.1287002483819 -2012-01-14 14:00:00,3027.838574702803,154.05691675933713 -2012-01-14 15:00:00,3046.74338315695,153.99721106661258 -2012-01-14 16:00:00,3073.8588960426487,154.078559225153 -2012-01-14 17:00:00,3104.276149083529,154.0795250334209 -2012-01-14 18:00:00,3133.852229235825,153.9668988562198 -2012-01-14 19:00:00,3203.7351285116642,153.85664798624074 -2012-01-14 20:00:00,3354.247527061001,153.78587743651335 -2012-01-14 21:00:00,3477.3443929960026,153.67399238465143 -2012-01-14 22:00:00,3591.626364069714,153.58840437357455 -2012-01-14 23:00:00,3695.058804208439,153.53338209769004 -2012-01-15 00:00:00,3774.839403377439,152.55752592749093 -2012-01-15 01:00:00,3835.73204084351,151.32704491677669 -2012-01-15 02:00:00,3903.666935803343,149.97650423730593 -2012-01-15 03:00:00,3956.895130274758,148.68394089304763 -2012-01-15 04:00:00,4007.1409526960088,146.89382372440843 -2012-01-15 05:00:00,4023.527085970695,143.92849861314917 -2012-01-15 06:00:00,4017.650353884802,141.52038157235464 -2012-01-15 07:00:00,3994.179464177254,139.69984191675445 -2012-01-15 08:00:00,3954.8306145163674,137.55149400687085 -2012-01-15 09:00:00,3950.4113709026497,136.66320493541755 -2012-01-15 10:00:00,3961.688099481363,134.57387869375933 -2012-01-15 11:00:00,3987.5014834439653,132.85156599100216 -2012-01-15 12:00:00,4017.1209991642736,131.4198256575567 -2012-01-15 13:00:00,4043.503289722082,130.152493336215 -2012-01-15 14:00:00,4071.991312410854,128.86238538844427 -2012-01-15 15:00:00,4111.009190860354,126.95804093690035 -2012-01-15 16:00:00,4165.434674003819,122.12250513975435 -2012-01-15 17:00:00,4234.452545061492,119.65191903226122 -2012-01-15 18:00:00,4305.393406569891,117.98687474998107 -2012-01-15 19:00:00,4412.853388970135,117.36981467210974 -2012-01-15 20:00:00,4576.111372168036,117.0940975120423 -2012-01-15 21:00:00,4737.62514929059,117.00293827290433 -2012-01-15 22:00:00,4907.554966033309,116.97175495623617 -2012-01-15 23:00:00,5069.797623049721,116.9318748449317 -2012-01-16 00:00:00,5185.002463170966,116.8625435781185 -2012-01-16 01:00:00,5321.169611195348,116.78132634640407 -2012-01-16 02:00:00,5479.490327448362,116.71647492802147 -2012-01-16 03:00:00,5659.935364872141,116.67642234376484 -2012-01-16 04:00:00,5858.4082089357535,116.63198025043363 -2012-01-16 05:00:00,6047.4958349448925,116.6180513092162 -2012-01-16 06:00:00,6161.360321899164,116.56898719669834 -2012-01-16 07:00:00,6241.039309050699,116.53527250280248 -2012-01-16 08:00:00,6314.765782148989,116.49677368134184 -2012-01-16 09:00:00,6373.959160681659,116.416421311306 -2012-01-16 10:00:00,6418.349111450326,116.24037701695144 -2012-01-16 11:00:00,6444.218932399317,116.12709546809833 -2012-01-16 12:00:00,6466.733273964465,116.23563669141001 -2012-01-16 13:00:00,6490.292498196053,116.11468366622874 -2012-01-16 14:00:00,6516.161424521223,115.65259785866847 -2012-01-16 15:00:00,6542.759344221472,114.39382403474687 -2012-01-16 16:00:00,6572.007486112673,111.05396473363842 -2012-01-16 17:00:00,6601.515951859139,103.75086601440096 -2012-01-16 18:00:00,6629.298925778329,97.52047827712721 -2012-01-16 19:00:00,6655.536808978139,94.54255496190292 -2012-01-16 20:00:00,6681.497569603095,94.23320255924015 -2012-01-16 21:00:00,6707.786894433164,95.01277892737161 -2012-01-16 22:00:00,6734.054879044383,96.1089700762028 -2012-01-16 23:00:00,6760.711902330114,97.48716606675998 -2012-01-17 00:00:00,6774.520435166165,98.46180795592527 -2012-01-17 01:00:00,6789.083155701996,99.32366903142918 -2012-01-17 02:00:00,6803.710784239628,99.78433776257175 -2012-01-17 03:00:00,6817.006415662982,100.09816446906697 -2012-01-17 04:00:00,6826.962251913264,100.3284031955792 -2012-01-17 05:00:00,6829.262616664406,100.61627138323533 -2012-01-17 06:00:00,6826.080874472348,100.68189742493614 -2012-01-17 07:00:00,6818.2573575271235,100.32105237468328 -2012-01-17 08:00:00,6806.994357735502,99.37718570813476 -2012-01-17 09:00:00,6805.6019428743075,98.18013478923805 -2012-01-17 10:00:00,6808.595226153582,96.84394961126448 -2012-01-17 11:00:00,6822.552316832709,95.47621150846267 -2012-01-17 12:00:00,6847.931587571437,94.79637484943433 -2012-01-17 13:00:00,6879.505032266404,93.65460216655602 -2012-01-17 14:00:00,6913.048600365063,92.89349588789688 -2012-01-17 15:00:00,6948.894294513419,94.6385102497376 -2012-01-17 16:00:00,6995.277165694631,100.42902353852557 -2012-01-17 17:00:00,7051.330715160706,109.76468611353194 -2012-01-17 18:00:00,7105.6418895435245,119.71462700737735 -2012-01-17 19:00:00,7158.973921992862,129.99467725345744 -2012-01-17 20:00:00,7218.553520568949,138.93551005077728 -2012-01-17 21:00:00,7294.620114364095,147.1432238248529 -2012-01-17 22:00:00,7401.95392196054,154.03768199024364 -2012-01-17 23:00:00,7538.778675798724,159.53821528521883 -2012-01-18 00:00:00,7628.446572394671,163.33124274844138 -2012-01-18 01:00:00,7695.65250777462,165.3511274933795 -2012-01-18 02:00:00,7744.011929049519,166.45014371064983 -2012-01-18 03:00:00,7776.8502921102,167.22928988700798 -2012-01-18 04:00:00,7810.840563516251,167.75258455644774 -2012-01-18 05:00:00,7837.621306128426,168.09752966765893 -2012-01-18 06:00:00,7858.7984317226565,168.64840324489745 -2012-01-18 07:00:00,7877.88217601883,169.1615765175742 -2012-01-18 08:00:00,7895.977762757545,169.5526327395112 -2012-01-18 09:00:00,7914.557694775376,169.87759091144383 -2012-01-18 10:00:00,7934.330315042491,170.19700146720345 -2012-01-18 11:00:00,7957.00641776718,170.54450145977242 -2012-01-18 12:00:00,7980.987189596079,171.0545674589004 -2012-01-18 13:00:00,8005.92687193858,171.5149655002976 -2012-01-18 14:00:00,8031.399271162199,172.09541687150164 -2012-01-18 15:00:00,8057.3219904610305,172.69396369834314 -2012-01-18 16:00:00,8084.837384826906,173.49712866824527 -2012-01-18 17:00:00,8112.286749103523,174.7107134695994 -2012-01-18 18:00:00,8139.55416617398,176.763534047039 -2012-01-18 19:00:00,8164.468746477274,180.87097864096398 -2012-01-18 20:00:00,8186.5550090743645,187.4518562517796 -2012-01-18 21:00:00,8202.266666058535,193.95565369179684 -2012-01-18 22:00:00,8208.678932235014,201.13912305116372 -2012-01-18 23:00:00,8196.537208224217,207.5908868172466 -2012-01-19 00:00:00,8171.008941980429,210.36307499556978 -2012-01-19 01:00:00,8136.280445371553,211.27355177116624 -2012-01-19 02:00:00,8121.1597196105395,211.73412722908884 -2012-01-19 03:00:00,8121.08452690774,211.9919646386066 -2012-01-19 04:00:00,8131.765787726104,212.16760516726006 -2012-01-19 05:00:00,8154.793306374455,212.28774946922775 -2012-01-19 06:00:00,8181.379372204089,212.35561276041008 -2012-01-19 07:00:00,8208.324051172773,212.41121901048035 -2012-01-19 08:00:00,8232.091569926943,212.46023550446853 -2012-01-19 09:00:00,8247.654119562128,212.51294543131738 -2012-01-19 10:00:00,8259.520455866,212.57827936295263 -2012-01-19 11:00:00,8277.311172802856,212.64747770314105 -2012-01-19 12:00:00,8305.880104290243,212.97829382954714 -2012-01-19 13:00:00,8336.634900766101,213.17837325516587 -2012-01-19 14:00:00,8352.46139253895,213.38718999018695 -2012-01-19 15:00:00,8346.615357841005,214.57406040922416 -2012-01-19 16:00:00,8319.659107589907,216.3659267815508 -2012-01-19 17:00:00,8319.487971336763,217.4072524486339 -2012-01-19 18:00:00,8353.097175141002,217.74859876654813 -2012-01-19 19:00:00,8405.98961369469,217.90262897974563 -2012-01-19 20:00:00,8461.627230887878,217.8206582397203 -2012-01-19 21:00:00,8500.02903682071,217.64825158360352 -2012-01-19 22:00:00,8528.753500957808,217.17157030512166 -2012-01-19 23:00:00,8559.135936387318,216.85776324279948 -2012-01-20 00:00:00,8579.725253344463,216.4848127247461 -2012-01-20 01:00:00,8596.527206755434,216.3192345518968 -2012-01-20 02:00:00,8616.565506208832,216.72107240737873 -2012-01-20 03:00:00,8640.731438442215,217.7083501339065 -2012-01-20 04:00:00,8669.788596375858,219.23617655554932 -2012-01-20 05:00:00,8704.20400585892,220.28106702662137 -2012-01-20 06:00:00,8734.049776870788,220.4009439315564 -2012-01-20 07:00:00,8756.221036297533,220.28583292742678 -2012-01-20 08:00:00,8773.307640539535,220.24694374285457 -2012-01-20 09:00:00,8789.649198115882,220.39382159994125 -2012-01-20 10:00:00,8805.203639105932,220.82690753888082 -2012-01-20 11:00:00,8820.043156613954,221.4232046695699 -2012-01-20 12:00:00,8835.01142912952,221.9857555194323 -2012-01-20 13:00:00,8854.214865621798,222.49308152612153 -2012-01-20 14:00:00,8875.483387414472,222.9288205562883 -2012-01-20 15:00:00,8897.149274292513,223.37662577534965 -2012-01-20 16:00:00,8919.207354609092,223.6618364870632 -2012-01-20 17:00:00,8942.670063216858,223.47128359289368 -2012-01-20 18:00:00,8968.266428460223,222.10641596304143 -2012-01-20 19:00:00,8995.06070986436,219.56253027623382 -2012-01-20 20:00:00,9022.766711256067,216.42592053601084 -2012-01-20 21:00:00,9053.183328240004,214.14471301285766 -2012-01-20 22:00:00,9087.793525470395,212.51472783039654 -2012-01-20 23:00:00,9122.858040782754,212.2534175702101 -2012-01-21 00:00:00,9145.477388046804,211.86149394902705 -2012-01-21 01:00:00,9174.576277477849,211.1546199686394 -2012-01-21 02:00:00,9214.00088721513,210.61903210549323 -2012-01-21 03:00:00,9257.627556837731,210.29068665642086 -2012-01-21 04:00:00,9301.454721284148,210.18895777564404 -2012-01-21 05:00:00,9341.103799296065,210.12197250040333 -2012-01-21 06:00:00,9371.122576616688,209.8644406680942 -2012-01-21 07:00:00,9394.265103884776,209.40427790964918 -2012-01-21 08:00:00,9413.40834591751,209.30685374723836 -2012-01-21 09:00:00,9429.502688091654,209.61815224191858 -2012-01-21 10:00:00,9445.717646030787,210.1457917866887 -2012-01-21 11:00:00,9456.50871325072,210.84696532265127 -2012-01-21 12:00:00,9455.16531627558,211.15246344551127 -2012-01-21 13:00:00,9449.438158017614,211.8150548103778 -2012-01-21 14:00:00,9446.749719701023,212.85862605163484 -2012-01-21 15:00:00,9446.72295330337,213.8743819050823 -2012-01-21 16:00:00,9438.883642807175,215.15402934999818 -2012-01-21 17:00:00,9428.736851330832,216.60024649353343 -2012-01-21 18:00:00,9420.67881940372,218.11850179515497 -2012-01-21 19:00:00,9372.888893877798,219.4915829331907 -2012-01-21 20:00:00,9249.07042764937,220.61321424782037 -2012-01-21 21:00:00,9160.163593267625,221.3369121707158 -2012-01-21 22:00:00,9089.502395869715,221.95106969951473 -2012-01-21 23:00:00,9034.152714320457,222.4138964307651 -2012-01-22 00:00:00,8982.932530974678,222.60551647299047 -2012-01-22 01:00:00,8948.156874637494,222.7541639404952 -2012-01-22 02:00:00,8907.09408284492,222.85135675601794 -2012-01-22 03:00:00,8872.09665026196,222.92197349462427 -2012-01-22 04:00:00,8830.107509915635,222.94304254073379 -2012-01-22 05:00:00,8802.126594830528,222.96545873930444 -2012-01-22 06:00:00,8786.911101020003,222.98965108416743 -2012-01-22 07:00:00,8764.272215900219,223.02766316847516 -2012-01-22 08:00:00,8742.665916981034,223.08585970101592 -2012-01-22 09:00:00,8727.916799669176,223.18471012204347 -2012-01-22 10:00:00,8712.630111215269,223.40682144662944 -2012-01-22 11:00:00,8702.60835482122,223.89963882788257 -2012-01-22 12:00:00,8694.601926983962,225.45665276099933 -2012-01-22 13:00:00,8693.644843202457,227.22186917423474 -2012-01-22 14:00:00,8689.425435424826,229.1976432384311 -2012-01-22 15:00:00,8672.325217940426,231.06639914636054 -2012-01-22 16:00:00,8638.586817945219,233.0351968584195 -2012-01-22 17:00:00,8589.193907741868,235.35150345593303 -2012-01-22 18:00:00,8537.973653115947,237.80023187681402 -2012-01-22 19:00:00,8450.543084235664,239.9391576168384 -2012-01-22 20:00:00,8308.123838530986,241.789007012332 -2012-01-22 21:00:00,8168.48116043287,243.6561697186843 -2012-01-22 22:00:00,8021.374806434978,246.31097234295174 -2012-01-22 23:00:00,7882.6317884404,250.07412623546102 -2012-01-23 00:00:00,7787.167166825989,252.54427210775538 -2012-01-23 01:00:00,7671.896845796713,253.64926238720284 -2012-01-23 02:00:00,7534.759467764458,254.3686103454505 -2012-01-23 03:00:00,7377.90544062381,254.7162765380791 -2012-01-23 04:00:00,7207.535303880775,254.89757670464647 -2012-01-23 05:00:00,7052.262495875439,254.98855548422804 -2012-01-23 06:00:00,6972.714052806217,255.128498137343 -2012-01-23 07:00:00,6930.184485582797,255.31172072233286 -2012-01-23 08:00:00,6895.205264948898,255.70623242504482 -2012-01-23 09:00:00,6873.271799413267,256.2181990254305 -2012-01-23 10:00:00,6863.159342566928,257.2674328265689 -2012-01-23 11:00:00,6863.262541018501,258.9361979107442 -2012-01-23 12:00:00,6864.4836055885935,260.45268607201075 -2012-01-23 13:00:00,6867.657700631158,263.63771683685104 -2012-01-23 14:00:00,6871.888317765685,268.31008846207624 -2012-01-23 15:00:00,6871.3990812232105,272.09753704377044 -2012-01-23 16:00:00,6874.375798485566,276.07696931799063 -2012-01-23 17:00:00,6879.076011930013,278.7595725200548 -2012-01-23 18:00:00,6874.973601349611,280.8133333095805 -2012-01-23 19:00:00,6871.382575999548,282.4630972747406 -2012-01-23 20:00:00,6867.490468136757,283.73268307684543 -2012-01-23 21:00:00,6863.644142300914,285.1739205240405 -2012-01-23 22:00:00,6860.537423992421,286.51248972792877 -2012-01-23 23:00:00,6857.393992888945,286.73880817420354 -2012-01-24 00:00:00,6861.667626001126,286.61791873480325 -2012-01-24 01:00:00,6865.656490791215,286.8340394417578 -2012-01-24 02:00:00,6869.378191533507,286.7463329192777 -2012-01-24 03:00:00,6873.074370453613,286.54185892524663 -2012-01-24 04:00:00,6876.871413269163,286.3827375590712 -2012-01-24 05:00:00,6880.691928612138,286.15742022775544 -2012-01-24 06:00:00,6884.70376590212,285.9566925116502 -2012-01-24 07:00:00,6888.320599887635,285.8051396423021 -2012-01-24 08:00:00,6888.906732319226,286.01327682698263 -2012-01-24 09:00:00,6888.673157565683,286.4184041868613 -2012-01-24 10:00:00,6885.69269447674,287.3263057160215 -2012-01-24 11:00:00,6880.740244957409,288.4646560547161 -2012-01-24 12:00:00,6867.7388135417905,288.56769235320604 -2012-01-24 13:00:00,6852.630968599469,288.9597977473912 -2012-01-24 14:00:00,6837.843558383201,289.16854483536645 -2012-01-24 15:00:00,6820.389634692142,287.2038711948543 -2012-01-24 16:00:00,6791.97326519798,281.2785894977928 -2012-01-24 17:00:00,6753.366108630811,271.7584858372579 -2012-01-24 18:00:00,6716.463643382419,261.7642707505562 -2012-01-24 19:00:00,6680.744366744361,251.29336593573152 -2012-01-24 20:00:00,6638.982121353618,242.08931947111486 -2012-01-24 21:00:00,6581.427113750014,234.61087950609047 -2012-01-24 22:00:00,6493.829007559328,230.4606350635927 -2012-01-24 23:00:00,6378.477914793963,232.79276919396295 -2012-01-25 00:00:00,6305.575874609217,241.23626796023032 -2012-01-25 01:00:00,6255.910157204204,254.28412082228687 -2012-01-25 02:00:00,6224.58259396616,264.1593543171843 -2012-01-25 03:00:00,6207.708341643876,267.38355112690124 -2012-01-25 04:00:00,6188.922961071365,269.00852514066713 -2012-01-25 05:00:00,6176.639609036072,269.5171677433516 -2012-01-25 06:00:00,6169.763628626345,269.27322797139635 -2012-01-25 07:00:00,6164.036579994301,268.86498728492484 -2012-01-25 08:00:00,6161.895541286645,268.52053314163106 -2012-01-25 09:00:00,6158.492830418275,268.2369376924618 -2012-01-25 10:00:00,6152.019788968161,267.9913127555538 -2012-01-25 11:00:00,6141.305773839799,267.7386691905308 -2012-01-25 12:00:00,6131.570065082953,267.40545417200576 -2012-01-25 13:00:00,6123.053506905193,267.0801316617834 -2012-01-25 14:00:00,6112.330334363002,266.587043155488 -2012-01-25 15:00:00,6101.191276234701,266.07235618266935 -2012-01-25 16:00:00,6089.1430514016,265.3581492714448 -2012-01-25 17:00:00,6075.918862293401,264.2093675676866 -2012-01-25 18:00:00,6063.264182370214,262.339025379772 -2012-01-25 19:00:00,6051.150191526955,258.332894356635 -2012-01-25 20:00:00,6041.459844725482,251.84238068078767 -2012-01-25 21:00:00,6034.220603383161,245.37849562271828 -2012-01-25 22:00:00,6028.723587173793,238.2349075986493 -2012-01-25 23:00:00,6024.87634875045,231.82072331206967 -2012-01-26 00:00:00,6032.422460723291,229.12876160500574 -2012-01-26 01:00:00,6042.847274202909,228.29275003821087 -2012-01-26 02:00:00,6055.47300277009,227.90985510017848 -2012-01-26 03:00:00,6070.015463934787,227.7364364624444 -2012-01-26 04:00:00,6089.516833380031,227.6368110083295 -2012-01-26 05:00:00,6104.073920810715,227.61792019774967 -2012-01-26 06:00:00,6110.968852541074,227.63664231994613 -2012-01-26 07:00:00,6117.0982141840495,227.66566058475337 -2012-01-26 08:00:00,6122.640224497509,227.6971616577537 -2012-01-26 09:00:00,6129.552901499421,227.72697971565626 -2012-01-26 10:00:00,6134.772634689436,227.74839815532172 -2012-01-26 11:00:00,6135.250520760141,227.7639885679618 -2012-01-26 12:00:00,6132.422355494781,227.49955791245733 -2012-01-26 13:00:00,6126.136983675261,227.30723861286975 -2012-01-26 14:00:00,6114.657513377093,226.89651502040266 -2012-01-26 15:00:00,6099.103421366645,225.61058476572344 -2012-01-26 16:00:00,6080.276635644252,223.4620911655587 -2012-01-26 17:00:00,6056.64614401605,222.3219265435744 -2012-01-26 18:00:00,6031.718160309968,221.99365638865385 -2012-01-26 19:00:00,5996.872718790022,221.73174178819667 -2012-01-26 20:00:00,5967.427443494649,221.53792575775157 -2012-01-26 21:00:00,5962.496084444507,221.49824257044202 -2012-01-26 22:00:00,5969.086392804701,221.4804031225977 -2012-01-26 23:00:00,5974.540191590415,221.47807859274397 -2012-01-27 00:00:00,5985.920470349292,221.33674635528646 -2012-01-27 01:00:00,6016.320585435924,220.9823981217585 -2012-01-27 02:00:00,6070.543632131226,220.22433235149413 -2012-01-27 03:00:00,6130.871811900493,219.0288434831438 -2012-01-27 04:00:00,6203.916613146946,217.4056006623498 -2012-01-27 05:00:00,6270.713695104259,216.30800188798295 -2012-01-27 06:00:00,6310.42058362352,215.83375053181527 -2012-01-27 07:00:00,6340.162912413513,215.65709992233369 -2012-01-27 08:00:00,6360.415070530726,215.42960741546162 -2012-01-27 09:00:00,6373.761276798229,215.02808562112364 -2012-01-27 10:00:00,6386.310509496481,214.39413907171112 -2012-01-27 11:00:00,6398.543965109998,213.56587021160294 -2012-01-27 12:00:00,6409.1495481614365,212.81968577073124 -2012-01-27 13:00:00,6417.253280460688,211.91712839885741 -2012-01-27 14:00:00,6422.451224329117,210.8373846796566 -2012-01-27 15:00:00,6424.383955824974,210.08024149260606 -2012-01-27 16:00:00,6426.03954278525,209.24008091753248 -2012-01-27 17:00:00,6427.734820521498,208.38537281578482 -2012-01-27 18:00:00,6428.702842492773,207.2041142245531 -2012-01-27 19:00:00,6429.94050889824,206.18201126164013 -2012-01-27 20:00:00,6431.98274721457,205.11670396934863 -2012-01-27 21:00:00,6434.506866886125,203.81440770826558 -2012-01-27 22:00:00,6442.968205976517,202.11187155356956 -2012-01-27 23:00:00,6467.396927630535,200.00744718391877 -2012-01-28 00:00:00,6496.964580914986,198.35597101483228 -2012-01-28 01:00:00,6523.007410786198,197.03073918694852 -2012-01-28 02:00:00,6533.79234170297,195.88735337208124 -2012-01-28 03:00:00,6536.118797574783,195.22342966565046 -2012-01-28 04:00:00,6529.084726071089,194.7179947786292 -2012-01-28 05:00:00,6521.437594238529,194.422123059367 -2012-01-28 06:00:00,6520.532462354539,194.31148845142332 -2012-01-28 07:00:00,6520.700741588245,194.21387793594494 -2012-01-28 08:00:00,6521.345544451414,193.9253564055344 -2012-01-28 09:00:00,6524.933003433477,193.52927083006006 -2012-01-28 10:00:00,6529.222837267739,192.95774418510155 -2012-01-28 11:00:00,6537.019209771968,192.2598160693781 -2012-01-28 12:00:00,6549.535397845904,191.873807765618 -2012-01-28 13:00:00,6560.126693911977,191.13188694342307 -2012-01-28 14:00:00,6570.3029909335255,190.01751819494692 -2012-01-28 15:00:00,6581.94845924723,188.92278468056378 -2012-01-28 16:00:00,6597.661166400629,187.5384115813294 -2012-01-28 17:00:00,6624.2182659663085,186.07572168630912 -2012-01-28 18:00:00,6662.761543406357,184.5741271284428 -2012-01-28 19:00:00,6716.034833636576,183.19417964459652 -2012-01-28 20:00:00,6766.395193907499,182.08867676891904 -2012-01-28 21:00:00,6789.742328126762,181.43039661163925 -2012-01-28 22:00:00,6802.500259564885,180.8693979227226 -2012-01-28 23:00:00,6808.502476805932,180.46180646613902 -2012-01-29 00:00:00,6814.667353537799,180.31694609848972 -2012-01-29 01:00:00,6813.869693987109,180.2226006867487 -2012-01-29 02:00:00,6804.812426130647,180.18421648141612 -2012-01-29 03:00:00,6797.422578295971,180.1795548791689 -2012-01-29 04:00:00,6788.505092082221,180.22347473940997 -2012-01-29 05:00:00,6780.294474094983,180.25277216036983 -2012-01-29 06:00:00,6778.254102579775,180.2965673566032 -2012-01-29 07:00:00,6782.744004986682,180.32217040429032 -2012-01-29 08:00:00,6790.887257046267,180.3305669378311 -2012-01-29 09:00:00,6799.074491208595,180.3212391070927 -2012-01-29 10:00:00,6807.5876176173715,180.25836024032708 -2012-01-29 11:00:00,6815.320259155596,179.99121281603743 -2012-01-29 12:00:00,6816.133756894982,178.68743642608308 -2012-01-29 13:00:00,6813.021968965655,177.2904252976047 -2012-01-29 14:00:00,6811.053626001413,175.6505072858591 -2012-01-29 15:00:00,6812.263096597188,173.95677467105406 -2012-01-29 16:00:00,6814.77974966792,172.14097350590978 -2012-01-29 17:00:00,6817.706023240773,169.90395300657417 -2012-01-29 18:00:00,6820.396694766149,167.50639196186694 -2012-01-29 19:00:00,6822.880639969155,165.4321897541648 -2012-01-29 20:00:00,6824.693591225854,163.65177344619332 -2012-01-29 21:00:00,6825.364812971693,161.848729550086 -2012-01-29 22:00:00,6824.891404840791,159.24488376665542 -2012-01-29 23:00:00,6823.650226729355,155.550253099136 -2012-01-30 00:00:00,6822.437585051548,153.1290926726419 -2012-01-30 01:00:00,6819.921627504354,152.06846682132934 -2012-01-30 02:00:00,6817.026034889911,151.38803263544943 -2012-01-30 03:00:00,6811.899821855164,151.08689001169495 -2012-01-30 04:00:00,6802.344243175907,150.94286684890264 -2012-01-30 05:00:00,6787.0924289839095,150.90003411004602 -2012-01-30 06:00:00,6771.220472443408,150.81067479066186 -2012-01-30 07:00:00,6752.146179630022,150.67683067498137 -2012-01-30 08:00:00,6730.871738766802,150.32556126333716 -2012-01-30 09:00:00,6710.029430681507,149.85547275051732 -2012-01-30 10:00:00,6690.784260478672,148.79700436332683 -2012-01-30 11:00:00,6678.884073179751,147.02432663405338 -2012-01-30 12:00:00,6668.865899710833,145.2552928514336 -2012-01-30 13:00:00,6655.023832327047,141.76194254496698 -2012-01-30 14:00:00,6639.392674010776,136.79625269155005 -2012-01-30 15:00:00,6628.327551215201,132.84146786010479 -2012-01-30 16:00:00,6611.612148283603,128.7133016506584 -2012-01-30 17:00:00,6592.596468576654,125.88007681281044 -2012-01-30 18:00:00,6583.743513083643,123.58029707225042 -2012-01-30 19:00:00,6575.936470142964,121.57356447891914 -2012-01-30 20:00:00,6568.874205626621,119.56708306273025 -2012-01-30 21:00:00,6561.52074130564,117.20299370546107 -2012-01-30 22:00:00,6553.140175711471,114.6235210619196 -2012-01-30 23:00:00,6544.510631676386,112.8813453039167 -2012-01-31 00:00:00,6538.969509471604,111.52670650216348 -2012-01-31 01:00:00,6533.512504267201,110.04132478620389 -2012-01-31 02:00:00,6527.861121603697,109.38999154220572 -2012-01-31 03:00:00,6522.06933165415,109.17028575479239 -2012-01-31 04:00:00,6516.006229134735,108.9979083615996 -2012-01-31 05:00:00,6509.644214091549,108.90439005238271 -2012-01-31 06:00:00,6502.858676645903,108.8218651790597 -2012-01-31 07:00:00,6494.806978960444,108.76822479982229 -2012-01-31 08:00:00,6486.149932292854,108.53530952288438 -2012-01-31 09:00:00,6478.099962967635,108.09710843682693 -2012-01-31 10:00:00,6470.662840883269,107.28125908722342 -2012-01-31 11:00:00,6463.303937835097,106.25819201794681 -2012-01-31 12:00:00,6455.65800871604,106.08102827331311 -2012-01-31 13:00:00,6446.052865623278,105.87767814933652 -2012-01-31 14:00:00,6436.162643351519,106.64623794195106 -2012-01-31 15:00:00,6426.5111510467095,107.20252619654555 -2012-01-31 16:00:00,6416.594587116348,108.65706716423391 -2012-01-31 17:00:00,6407.517259847536,109.67368348263585 -2012-01-31 18:00:00,6400.951168979678,111.05480695639311 -2012-01-31 19:00:00,6393.445657966922,113.97209779232931 -2012-01-31 20:00:00,6384.809782533123,120.06331717189819 -2012-01-31 21:00:00,6375.435641306482,120.10983995753082 -2012-01-31 22:00:00,6364.997339942064,117.26212820482563 -2012-01-31 23:00:00,6353.469906871863,109.04207268710594 -2012-02-01 00:00:00,6343.195927560964,97.36435997228057 -2012-02-01 01:00:00,6331.897707273462,82.91288660516123 -2012-02-01 02:00:00,6320.448387394924,72.67593974067555 -2012-02-01 03:00:00,6310.124354170856,69.22001159779902 -2012-02-01 04:00:00,6300.147079633305,67.77945975725373 -2012-02-01 05:00:00,6290.535711107262,67.75233036330141 -2012-02-01 06:00:00,6280.5286627697715,68.22315310732209 -2012-02-01 07:00:00,6270.044461038206,68.93497551686978 -2012-02-01 08:00:00,6256.602723010776,69.5081086966094 -2012-02-01 09:00:00,6243.034931795003,69.84350852559416 -2012-02-01 10:00:00,6229.824934147021,70.31033187263823 -2012-02-01 11:00:00,6218.075628013506,71.09470574465543 -2012-02-01 12:00:00,6205.971909015952,71.75822351991701 -2012-02-01 13:00:00,6190.630878948073,72.65774577969853 -2012-02-01 14:00:00,6178.4092538421355,73.65524598209225 -2012-02-01 15:00:00,6167.436862851425,74.69455457327476 -2012-02-01 16:00:00,6155.263106797447,76.07112220941768 -2012-02-01 17:00:00,6142.771413621817,78.69414835319786 -2012-02-01 18:00:00,6128.771442715872,81.09127878833165 -2012-02-01 19:00:00,6115.521199877267,83.55465441497334 -2012-02-01 20:00:00,6099.597543084928,84.95687189937064 -2012-02-01 21:00:00,6082.64215089621,86.72161907121772 -2012-02-01 22:00:00,6065.50630898134,89.08468691867841 -2012-02-01 23:00:00,6048.534123002781,91.28690918386216 -2012-02-02 00:00:00,6030.743624172505,93.13733468300465 -2012-02-02 01:00:00,6009.745069366186,95.21575857831662 -2012-02-02 02:00:00,5983.089684640051,98.19059382562952 -2012-02-02 03:00:00,5952.193340643375,100.83140831477644 -2012-02-02 04:00:00,5912.733696643399,103.30487805848966 -2012-02-02 05:00:00,5875.095912389362,105.45338433910808 -2012-02-02 06:00:00,5847.319819751722,107.04717367272247 -2012-02-02 07:00:00,5822.585496737739,108.8700414362174 -2012-02-02 08:00:00,5800.760193817661,110.4624064530888 -2012-02-02 09:00:00,5780.500048135495,111.66816770751319 -2012-02-02 10:00:00,5759.490435225469,112.87806847921439 -2012-02-02 11:00:00,5739.978577457524,113.91929092069572 -2012-02-02 12:00:00,5728.34050480583,114.76799578207525 -2012-02-02 13:00:00,5714.500008993543,116.14629505445892 -2012-02-02 14:00:00,5703.033436480651,117.59868300426531 -2012-02-02 15:00:00,5689.507453951593,118.71194881014884 -2012-02-02 16:00:00,5676.626898956644,119.59003051094192 -2012-02-02 17:00:00,5665.125168195196,120.34750546474211 -2012-02-02 18:00:00,5651.0433473701705,121.241066243008 -2012-02-02 19:00:00,5633.392736894402,122.21417764486293 -2012-02-02 20:00:00,5612.261696261595,123.00048870444657 -2012-02-02 21:00:00,5586.039329505005,123.55118962149085 -2012-02-02 22:00:00,5557.713878159892,124.04731528757858 -2012-02-02 23:00:00,5529.614926102899,124.48062784550056 -2012-02-03 00:00:00,5503.5169633403675,124.91474008853456 -2012-02-03 01:00:00,5462.196227137608,125.47450936501366 -2012-02-03 02:00:00,5394.808419015555,126.16108080433557 -2012-02-03 03:00:00,5317.318848849268,126.55297171857288 -2012-02-03 04:00:00,5221.531115335671,126.96565792260803 -2012-02-03 05:00:00,5126.830344231216,127.41260685114239 -2012-02-03 06:00:00,5068.0224970768595,127.95874142869866 -2012-02-03 07:00:00,5033.728802837775,128.7412293377446 -2012-02-03 08:00:00,5019.132507124119,129.67480167784663 -2012-02-03 09:00:00,5015.894952637991,130.39880807818997 -2012-02-03 10:00:00,5018.285527251006,131.0737525663117 -2012-02-03 11:00:00,5024.145629106361,131.6979497353232 -2012-02-03 12:00:00,5037.445526674928,132.40913550371224 -2012-02-03 13:00:00,5048.1699805601575,133.40559497640226 -2012-02-03 14:00:00,5049.104014202977,134.8496574417177 -2012-02-03 15:00:00,5046.353003468921,136.20817208060828 -2012-02-03 16:00:00,5044.31226953511,137.5722106639644 -2012-02-03 17:00:00,5039.660770091439,138.60669575404785 -2012-02-03 18:00:00,5029.817200778395,139.403551333717 -2012-02-03 19:00:00,5014.59480136052,139.94391858950584 -2012-02-03 20:00:00,4993.383809399427,140.40792285523207 -2012-02-03 21:00:00,4963.38290847834,140.74068800963565 -2012-02-03 22:00:00,4920.9222888849245,141.00552874247464 -2012-02-03 23:00:00,4861.572445031659,141.215549205313 -2012-02-04 00:00:00,4815.082338672761,141.47875710791905 -2012-02-04 01:00:00,4766.424990155512,141.727171065916 -2012-02-04 02:00:00,4724.634894151881,141.95731759220666 -2012-02-04 03:00:00,4687.919988220141,142.10650695152694 -2012-02-04 04:00:00,4660.689552689982,142.24340600604123 -2012-02-04 05:00:00,4639.383828869624,142.35186711904046 -2012-02-04 06:00:00,4624.304232030701,142.38212969583662 -2012-02-04 07:00:00,4622.530391420343,142.40122173780344 -2012-02-04 08:00:00,4629.645336972807,142.51810045098037 -2012-02-04 09:00:00,4635.848084687368,142.80148638239208 -2012-02-04 10:00:00,4642.48268425986,143.22919533845533 -2012-02-04 11:00:00,4647.729236620558,143.8257416014036 -2012-02-04 12:00:00,4652.5807466507595,144.4511887642566 -2012-02-04 13:00:00,4658.110884132567,145.2584140749348 -2012-02-04 14:00:00,4657.823407296025,146.15198785171333 -2012-02-04 15:00:00,4646.356669339132,146.78980871236809 -2012-02-04 16:00:00,4632.157249220364,147.3180336746152 -2012-02-04 17:00:00,4605.404136678301,147.7296679206313 -2012-02-04 18:00:00,4564.86274409599,148.43093144192994 -2012-02-04 19:00:00,4509.821268260421,149.31185590079477 -2012-02-04 20:00:00,4453.485984556979,150.31427622771304 -2012-02-04 21:00:00,4416.691965049624,151.1148788703658 -2012-02-04 22:00:00,4383.661836441696,151.77460043313417 -2012-02-04 23:00:00,4352.380101373719,152.34899746051798 -2012-02-05 00:00:00,4334.518028645682,152.83984807215688 -2012-02-05 01:00:00,4325.343349649281,153.12669126462043 -2012-02-05 02:00:00,4320.892401349721,153.29790737385957 -2012-02-05 03:00:00,4320.1974993879585,153.44047955051084 -2012-02-05 04:00:00,4323.393710335662,153.56262768670484 -2012-02-05 05:00:00,4333.233314081218,153.69186435507183 -2012-02-05 06:00:00,4345.675030682286,153.85975529018597 -2012-02-05 07:00:00,4363.199354325223,154.03940014886234 -2012-02-05 08:00:00,4383.13326443145,154.25667132140944 -2012-02-05 09:00:00,4397.911927664533,154.47519539556484 -2012-02-05 10:00:00,4406.292341129594,154.64902752120668 -2012-02-05 11:00:00,4406.455580452265,154.81421176791147 -2012-02-05 12:00:00,4421.223234269003,155.05046891761094 -2012-02-05 13:00:00,4434.822075191723,155.3139245942037 -2012-02-05 14:00:00,4447.084922310159,155.61109533410848 -2012-02-05 15:00:00,4452.942580899099,155.90084640515425 -2012-02-05 16:00:00,4457.932737018212,156.09513457384142 -2012-02-05 17:00:00,4461.6427862332985,156.21922447222678 -2012-02-05 18:00:00,4465.821972376887,156.30084786319347 -2012-02-05 19:00:00,4469.280784249321,156.36521629931005 -2012-02-05 20:00:00,4473.110482298471,156.493762526861 -2012-02-05 21:00:00,4476.618968462408,156.69121023320125 -2012-02-05 22:00:00,4479.730427795957,156.98432122460815 -2012-02-05 23:00:00,4482.591135924363,157.22975464531604 -2012-02-06 00:00:00,4476.699126257641,157.36768771668227 -2012-02-06 01:00:00,4470.124002486232,157.4417793014498 -2012-02-06 02:00:00,4463.032881783859,157.47931594961884 -2012-02-06 03:00:00,4455.797111733753,157.49758859402635 -2012-02-06 04:00:00,4448.279435169594,157.53266312562738 -2012-02-06 05:00:00,4440.7108458427965,157.57128611802665 -2012-02-06 06:00:00,4433.884438076682,157.60155532153175 -2012-02-06 07:00:00,4428.075239648539,157.62126166489014 -2012-02-06 08:00:00,4423.516168115698,157.63035404923576 -2012-02-06 09:00:00,4420.542491728922,157.6423320618373 -2012-02-06 10:00:00,4420.718263856594,157.6758494629153 -2012-02-06 11:00:00,4423.0283438341385,157.7587944763176 -2012-02-06 12:00:00,4433.666459386888,157.96983813525543 -2012-02-06 13:00:00,4440.234662532694,158.35629089149597 -2012-02-06 14:00:00,4445.10193949579,158.88038899384588 -2012-02-06 15:00:00,4446.636695709812,159.33713714678427 -2012-02-06 16:00:00,4448.291481554938,159.59581212227332 -2012-02-06 17:00:00,4449.125671753309,159.7438990695741 -2012-02-06 18:00:00,4450.361026749095,160.00644648972 -2012-02-06 19:00:00,4450.584843970864,160.843476610359 -2012-02-06 20:00:00,4450.330539628159,164.7858290961823 -2012-02-06 21:00:00,4450.102908611346,168.32035630622303 -2012-02-06 22:00:00,4450.4488312989015,171.68905324162188 -2012-02-06 23:00:00,4451.110540843088,173.95999227545084 -2012-02-07 00:00:00,4461.0532620997965,175.68108366906628 -2012-02-07 01:00:00,4470.044518456429,176.60838662897865 -2012-02-07 02:00:00,4478.075300866533,177.1636264555937 -2012-02-07 03:00:00,4486.266665508388,177.39564850174395 -2012-02-07 04:00:00,4494.139479485563,177.5455710319849 -2012-02-07 05:00:00,4503.721026759485,177.62466033102598 -2012-02-07 06:00:00,4514.779928294526,177.8085831931994 -2012-02-07 07:00:00,4525.8838716434375,178.0886654339886 -2012-02-07 08:00:00,4534.543074723321,178.3343117976797 -2012-02-07 09:00:00,4544.076903153171,178.6831769341336 -2012-02-07 10:00:00,4555.450548536788,178.9796569116209 -2012-02-07 11:00:00,4566.753102219898,179.22729357329789 -2012-02-07 12:00:00,4588.646391581689,179.23699008134636 -2012-02-07 13:00:00,4602.070724017107,179.15608450969353 -2012-02-07 14:00:00,4611.203752881774,178.30625035607082 -2012-02-07 15:00:00,4619.256946694535,177.71345785860638 -2012-02-07 16:00:00,4627.225044322574,176.19689727478078 -2012-02-07 17:00:00,4635.084525110304,175.18515023102412 -2012-02-07 18:00:00,4641.890245000366,173.34655546406677 -2012-02-07 19:00:00,4650.185840290556,169.2464590604366 -2012-02-07 20:00:00,4660.01777333457,161.90903096789734 -2012-02-07 21:00:00,4670.301512958738,160.26292429172747 -2012-02-07 22:00:00,4680.591125967257,159.1566805987064 -2012-02-07 23:00:00,4690.772212673282,158.6694380643092 -2012-02-08 00:00:00,4701.133036068701,158.10879641145632 -2012-02-08 01:00:00,4712.375153443644,157.6679628018198 -2012-02-08 02:00:00,4724.74053274295,157.08745897343414 -2012-02-08 03:00:00,4738.366963864296,156.6768734563565 -2012-02-08 04:00:00,4754.437746344859,156.115387042074 -2012-02-08 05:00:00,4773.374062353029,155.3933863080393 -2012-02-08 06:00:00,4789.02137092686,154.7232783981387 -2012-02-08 07:00:00,4800.962583206683,154.00813841711098 -2012-02-08 08:00:00,4811.393089187145,153.48815129337808 -2012-02-08 09:00:00,4821.21927888276,153.2123813535599 -2012-02-08 10:00:00,4830.321009413164,152.81820439156795 -2012-02-08 11:00:00,4839.172356681983,152.14594224012967 -2012-02-08 12:00:00,4847.754135366568,151.46778068250097 -2012-02-08 13:00:00,4857.653322732441,150.95019429574248 -2012-02-08 14:00:00,4868.048680384945,151.07599282389188 -2012-02-08 15:00:00,4879.719374625213,151.15749554981292 -2012-02-08 16:00:00,4892.633041409061,151.27094710714886 -2012-02-08 17:00:00,4906.868920288501,149.56902637517788 -2012-02-08 18:00:00,4919.460286376829,147.65370733274585 -2012-02-08 19:00:00,4933.087656498361,145.7042209545143 -2012-02-08 20:00:00,4947.336476705487,144.7780605887363 -2012-02-08 21:00:00,4961.340780890674,143.43799608365865 -2012-02-08 22:00:00,4975.338835435457,141.37865355438683 -2012-02-08 23:00:00,4989.061797843154,139.4936925540257 -2012-02-09 00:00:00,4997.4808659145665,138.07935195789426 -2012-02-09 01:00:00,5005.422793398665,136.33332444791077 -2012-02-09 02:00:00,5012.654424212203,133.8890266503668 -2012-02-09 03:00:00,5020.062310238529,131.92277052125638 -2012-02-09 04:00:00,5027.636197577158,130.13311321137604 -2012-02-09 05:00:00,5035.278869439669,128.79395247511184 -2012-02-09 06:00:00,5043.095225982256,127.93029049737645 -2012-02-09 07:00:00,5051.005444896859,126.79137861470495 -2012-02-09 08:00:00,5058.413053840347,126.02771750736477 -2012-02-09 09:00:00,5065.15040547481,125.76945916473218 -2012-02-09 10:00:00,5071.079096680394,125.60680238157899 -2012-02-09 11:00:00,5076.499566267439,125.76815268697675 -2012-02-09 12:00:00,5079.455454524011,126.12777976952697 -2012-02-09 13:00:00,5080.027890514808,126.68148918706308 -2012-02-09 14:00:00,5080.404033726576,127.34879798264069 -2012-02-09 15:00:00,5083.286507084086,128.42371885557208 -2012-02-09 16:00:00,5085.734674197022,129.58762098745746 -2012-02-09 17:00:00,5086.616984430374,130.4905792456131 -2012-02-09 18:00:00,5089.710844948989,130.90164935223382 -2012-02-09 19:00:00,5094.144432807658,130.95544385536417 -2012-02-09 20:00:00,5099.432767962503,130.66869776653573 -2012-02-09 21:00:00,5106.1496304044695,130.475466859202 -2012-02-09 22:00:00,5113.318452051075,130.2410832159633 -2012-02-09 23:00:00,5120.813937135824,130.00310712222898 -2012-02-10 00:00:00,5127.3924324336995,129.9791542916092 -2012-02-10 01:00:00,5134.235718587413,129.76624235416207 -2012-02-10 02:00:00,5140.920012594589,129.4106566068535 -2012-02-10 03:00:00,5148.000280098576,129.34399776616135 -2012-02-10 04:00:00,5154.959170208289,129.26211647372102 -2012-02-10 05:00:00,5161.393494295232,129.29577622184584 -2012-02-10 06:00:00,5164.09887529859,129.5711508420033 -2012-02-10 07:00:00,5159.767962303409,130.26733221925437 -2012-02-10 08:00:00,5149.3612778175,131.65527578770195 -2012-02-10 09:00:00,5135.687997970126,133.4561860229444 -2012-02-10 10:00:00,5118.259489912963,135.60662646647538 -2012-02-10 11:00:00,5099.292993992961,137.77297012188555 -2012-02-10 12:00:00,5082.452168952109,138.60117523023737 -2012-02-10 13:00:00,5066.334954122149,139.39237097021942 -2012-02-10 14:00:00,5055.5078372449625,139.4718027595598 -2012-02-10 15:00:00,5045.128017770861,139.05345008144016 -2012-02-10 16:00:00,5033.2600608855255,138.455790542665 -2012-02-10 17:00:00,5022.504476899376,137.91824650667317 -2012-02-10 18:00:00,5016.710403888665,137.45133565253968 -2012-02-10 19:00:00,5011.296230512683,137.50027577288625 -2012-02-10 20:00:00,5003.721167651334,138.3250403875885 -2012-02-10 21:00:00,5000.280877967129,140.0230671614487 -2012-02-10 22:00:00,5001.217003686177,143.43108682871218 -2012-02-10 23:00:00,5004.731502003542,146.9631094859085 -2012-02-11 00:00:00,4999.765269843585,148.20746859915582 -2012-02-11 01:00:00,4995.059788842829,148.95856238521347 -2012-02-11 02:00:00,4991.689521876448,149.8251895027738 -2012-02-11 03:00:00,4991.212032025563,150.4196987470309 -2012-02-11 04:00:00,4994.120010576249,151.3128765092468 -2012-02-11 05:00:00,4996.942373225663,151.67642545520246 -2012-02-11 06:00:00,4993.407332318155,151.94640380071354 -2012-02-11 07:00:00,4980.842480398688,153.5294460949795 -2012-02-11 08:00:00,4962.015342705196,156.91748578710394 -2012-02-11 09:00:00,4943.553716453238,158.23598587649383 -2012-02-11 10:00:00,4923.77033021357,159.266625116999 -2012-02-11 11:00:00,4903.100857615083,159.330579074783 -2012-02-11 12:00:00,4883.240938561085,158.98880492146796 -2012-02-11 13:00:00,4862.662932926452,158.42715146971872 -2012-02-11 14:00:00,4844.077368253615,157.66573305967202 -2012-02-11 15:00:00,4831.9649832564055,157.1247076284181 -2012-02-11 16:00:00,4818.518092785607,156.69336214223554 -2012-02-11 17:00:00,4806.816664114817,156.3812163170522 -2012-02-11 18:00:00,4797.6411238356295,155.7310278631118 -2012-02-11 19:00:00,4787.8754361258925,154.92964942000845 -2012-02-11 20:00:00,4778.01054062898,154.04842208842143 -2012-02-11 21:00:00,4769.078645075076,153.38469936736243 -2012-02-11 22:00:00,4758.683677491221,152.8875940781129 -2012-02-11 23:00:00,4750.964131990099,152.51915207292146 -2012-02-12 00:00:00,4746.047144305633,152.38570813192143 -2012-02-12 01:00:00,4741.30933974399,152.6255370188019 -2012-02-12 02:00:00,4735.464985629939,153.0985882942166 -2012-02-12 03:00:00,4726.235842622712,153.44244408069187 -2012-02-12 04:00:00,4711.556939301783,153.70309391205373 -2012-02-12 05:00:00,4689.5010339910705,153.9638572782046 -2012-02-12 06:00:00,4663.821573727282,154.02133207667515 -2012-02-12 07:00:00,4632.601506223493,154.04952240739564 -2012-02-12 08:00:00,4601.401696058722,154.09374556740818 -2012-02-12 09:00:00,4578.329010737663,154.12154285623515 -2012-02-12 10:00:00,4564.6273494670595,154.13314127907847 -2012-02-12 11:00:00,4559.8534224996965,154.1599638813554 -2012-02-12 12:00:00,4539.33533589572,154.5488750411839 -2012-02-12 13:00:00,4519.521725798825,154.92651906653631 -2012-02-12 14:00:00,4499.173440131189,155.11681982169267 -2012-02-12 15:00:00,4484.115967264246,155.0952209865097 -2012-02-12 16:00:00,4472.352700980739,155.2988375461008 -2012-02-12 17:00:00,4480.423912991257,155.69071173878862 -2012-02-12 18:00:00,4482.83362178033,156.2220196024408 -2012-02-12 19:00:00,4485.513463315024,156.61346724466884 -2012-02-12 20:00:00,4499.302489726075,157.23468283846876 -2012-02-12 21:00:00,4508.576461317247,158.0241025059036 -2012-02-12 22:00:00,4513.789550763519,159.2911155685983 -2012-02-12 23:00:00,4515.221140703815,161.74241484233227 -2012-02-13 00:00:00,4544.95650970644,165.7354944698502 -2012-02-13 01:00:00,4591.58721333147,172.0960753572575 -2012-02-13 02:00:00,4604.792633568223,175.14345891985369 -2012-02-13 03:00:00,4610.470401385768,175.82938021663077 -2012-02-13 04:00:00,4613.1924660287,176.1107367036978 -2012-02-13 05:00:00,4615.181398792032,176.17386412125475 -2012-02-13 06:00:00,4617.156411145078,176.17052617001792 -2012-02-13 07:00:00,4621.53430493041,176.1740546927776 -2012-02-13 08:00:00,4628.74700742608,176.1986038566411 -2012-02-13 09:00:00,4633.927689316,176.23679185932747 -2012-02-13 10:00:00,4636.933560171833,176.3392381872677 -2012-02-13 11:00:00,4636.3068097212345,176.5407758765796 -2012-02-13 12:00:00,4627.92933511746,176.8704849029725 -2012-02-13 13:00:00,4623.151048058289,176.98991676808842 -2012-02-13 14:00:00,4619.571331759266,176.8953412275306 -2012-02-13 15:00:00,4617.016895648633,176.793054892169 -2012-02-13 16:00:00,4614.13686611108,176.93009005017342 -2012-02-13 17:00:00,4614.474914530735,177.20758209005035 -2012-02-13 18:00:00,4616.397507301755,177.5033745381524 -2012-02-13 19:00:00,4621.712396099492,177.18042536244192 -2012-02-13 20:00:00,4629.172781614048,173.5963754309135 -2012-02-13 21:00:00,4635.670917013492,170.4203681614172 -2012-02-13 22:00:00,4644.3447303963085,167.39761326022253 -2012-02-13 23:00:00,4654.959629104636,165.57884352450282 -2012-02-14 00:00:00,4651.329969420812,164.38599791332763 -2012-02-14 01:00:00,4644.360117909606,163.8976246965881 -2012-02-14 02:00:00,4637.7239298457025,163.59117435566674 -2012-02-14 03:00:00,4630.217445728062,163.48514375937873 -2012-02-14 04:00:00,4621.721106823466,163.388566099504 -2012-02-14 05:00:00,4609.660237128974,163.31128768048535 -2012-02-14 06:00:00,4597.279365762873,163.08544957899147 -2012-02-14 07:00:00,4587.555683238603,162.7175963720879 -2012-02-14 08:00:00,4582.256093157618,162.33446647904802 -2012-02-14 09:00:00,4577.295635559001,161.95692497842722 -2012-02-14 10:00:00,4571.406083114801,161.55396158650777 -2012-02-14 11:00:00,4567.659430726771,161.19403797457187 -2012-02-14 12:00:00,4557.858138804371,160.98265946348081 -2012-02-14 13:00:00,4555.561988844753,160.64515357296028 -2012-02-14 14:00:00,4553.327401504677,160.13688651339265 -2012-02-14 15:00:00,4551.323969245954,159.7279215322262 -2012-02-14 16:00:00,4550.0517130586195,159.40965812937122 -2012-02-14 17:00:00,4548.915737616404,159.0432868599726 -2012-02-14 18:00:00,4550.013681726929,158.5534243212675 -2012-02-14 19:00:00,4549.420982707923,158.10591726210455 -2012-02-14 20:00:00,4547.063201152802,157.7008916010089 -2012-02-14 21:00:00,4542.375763340851,157.7219542130831 -2012-02-14 22:00:00,4535.725893086711,157.6934005674059 -2012-02-14 23:00:00,4528.237171911598,157.65736260359938 -2012-02-15 00:00:00,4525.989165508671,157.5089036389889 -2012-02-15 01:00:00,4521.225752409481,157.29305049464313 -2012-02-15 02:00:00,4515.760608797005,157.169542833824 -2012-02-15 03:00:00,4509.028415422125,157.0771331305342 -2012-02-15 04:00:00,4499.376442138278,156.9908977616453 -2012-02-15 05:00:00,4485.3752235627135,156.93686960555604 -2012-02-15 06:00:00,4474.695876081936,156.8834618157728 -2012-02-15 07:00:00,4469.3873548069305,156.8352291772769 -2012-02-15 08:00:00,4467.920794202469,156.78649081846902 -2012-02-15 09:00:00,4469.42188099983,156.74671228071207 -2012-02-15 10:00:00,4472.828766608923,156.65440302116073 -2012-02-15 11:00:00,4477.425151016857,156.49818329452017 -2012-02-15 12:00:00,4493.648439696614,156.39805224878918 -2012-02-15 13:00:00,4505.833847263008,155.95210131279762 -2012-02-15 14:00:00,4511.699208607572,154.84017880759393 -2012-02-15 15:00:00,4514.72706896171,153.73993991470337 -2012-02-15 16:00:00,4525.044455524457,152.262695437768 -2012-02-15 17:00:00,4547.226633255579,151.3866286281547 -2012-02-15 18:00:00,4576.593512483244,150.85022248753563 -2012-02-15 19:00:00,4625.008997730967,150.32488903229122 -2012-02-15 20:00:00,4694.645357311186,149.8596395450813 -2012-02-15 21:00:00,4758.523826509909,149.40924621390803 -2012-02-15 22:00:00,4830.068151814858,149.08430306331758 -2012-02-15 23:00:00,4882.475605657189,148.75453875536323 -2012-02-16 00:00:00,4906.4147423037375,148.269644365379 -2012-02-16 01:00:00,4915.0192085377985,147.89029278834892 -2012-02-16 02:00:00,4919.388935103262,147.31614743583143 -2012-02-16 03:00:00,4922.388285913151,146.58730560026436 -2012-02-16 04:00:00,4924.701317453535,145.85733926247076 -2012-02-16 05:00:00,4923.59755122803,144.98932769184623 -2012-02-16 06:00:00,4919.026760894904,144.20291546264482 -2012-02-16 07:00:00,4915.489639557043,143.46532368050399 -2012-02-16 08:00:00,4913.890136659989,142.5889635685471 -2012-02-16 09:00:00,4914.124638253677,141.58268966744328 -2012-02-16 10:00:00,4916.285028207013,140.48140159170998 -2012-02-16 11:00:00,4920.617347898714,139.213125941382 -2012-02-16 12:00:00,4929.542394311295,137.94724881681566 -2012-02-16 13:00:00,4937.670664515225,135.9521494049964 -2012-02-16 14:00:00,4944.52992973942,133.76422033038102 -2012-02-16 15:00:00,4947.322414109425,131.51084275653318 -2012-02-16 16:00:00,4949.665669872902,129.41391015149503 -2012-02-16 17:00:00,4950.786105367271,127.7201631412709 -2012-02-16 18:00:00,4950.650688990402,126.36402696956068 -2012-02-16 19:00:00,4951.037761468101,125.2627790613861 -2012-02-16 20:00:00,4951.871118103792,124.69505338945103 -2012-02-16 21:00:00,4953.412243226049,124.28500530400575 -2012-02-16 22:00:00,4953.612338667911,123.96981627336271 -2012-02-16 23:00:00,4952.580441970114,123.73201735740578 -2012-02-17 00:00:00,4955.435511184656,123.4020782885159 -2012-02-17 01:00:00,4958.443872989711,123.13252404280907 -2012-02-17 02:00:00,4960.414106403317,122.87759575186911 -2012-02-17 03:00:00,4963.170462877014,122.62959099833066 -2012-02-17 04:00:00,4967.104553326733,122.49389942439318 -2012-02-17 05:00:00,4973.170538259583,122.42956187104556 -2012-02-17 06:00:00,4977.32986755845,122.01283788090787 -2012-02-17 07:00:00,4982.382236789134,120.87066071150795 -2012-02-17 08:00:00,4989.74092558337,118.78991953489248 -2012-02-17 09:00:00,4996.924343634041,116.36654856017901 -2012-02-17 10:00:00,5005.5645291612755,113.70150371027187 -2012-02-17 11:00:00,5015.607620381995,111.11049553853611 -2012-02-17 12:00:00,5026.1401714663025,109.89436170426619 -2012-02-17 13:00:00,5042.572856456104,108.85767943361635 -2012-02-17 14:00:00,5065.916316090948,108.51465675544016 -2012-02-17 15:00:00,5093.014664723604,109.75621042404622 -2012-02-17 16:00:00,5135.9969789194865,117.65535375159949 -2012-02-17 17:00:00,5191.598637471625,139.45171110431968 -2012-02-17 18:00:00,5244.6625308253515,155.958573762598 -2012-02-17 19:00:00,5314.7528867725305,169.78181427769402 -2012-02-17 20:00:00,5413.285492284107,183.24846907353148 -2012-02-17 21:00:00,5504.534432424578,187.98205556051025 -2012-02-17 22:00:00,5593.064203972411,189.42479328874168 -2012-02-17 23:00:00,5653.6858179722285,188.46709651910354 -2012-02-18 00:00:00,5679.067470824832,189.3666947928823 -2012-02-18 01:00:00,5688.283240444632,190.8397163485299 -2012-02-18 02:00:00,5695.535384666632,192.3128770295777 -2012-02-18 03:00:00,5702.860211227652,193.4826948677297 -2012-02-18 04:00:00,5709.539057312503,194.36911046873166 -2012-02-18 05:00:00,5717.290001962951,195.9826087515966 -2012-02-18 06:00:00,5732.9143819325,196.5124978847442 -2012-02-18 07:00:00,5753.197705399311,195.37816337465304 -2012-02-18 08:00:00,5781.028615306789,192.2986102821317 -2012-02-18 09:00:00,5810.193601167362,191.07251998803093 -2012-02-18 10:00:00,5840.172454730057,190.2315434777231 -2012-02-18 11:00:00,5872.476472031945,190.39301985977593 -2012-02-18 12:00:00,5917.503200917784,191.51266907620578 -2012-02-18 13:00:00,5962.332754938917,192.96559157182364 -2012-02-18 14:00:00,5998.546761911693,194.7707446679323 -2012-02-18 15:00:00,6029.582669353384,196.50595912808424 -2012-02-18 16:00:00,6063.48815478118,198.26139417141994 -2012-02-18 17:00:00,6096.058823427331,199.64261639882338 -2012-02-18 18:00:00,6122.078077563537,200.2819058174724 -2012-02-18 19:00:00,6147.805925444826,200.76344910365182 -2012-02-18 20:00:00,6173.1417998719,201.13866342526222 -2012-02-18 21:00:00,6199.2983872791065,201.4557856401347 -2012-02-18 22:00:00,6228.3392622280235,201.7094496663693 -2012-02-18 23:00:00,6258.611151187421,201.8453019802458 -2012-02-19 00:00:00,6282.964877573821,202.5591475595957 -2012-02-19 01:00:00,6310.856180057881,202.9867633244004 -2012-02-19 02:00:00,6344.185187728282,203.1984921991446 -2012-02-19 03:00:00,6382.843696576152,203.28050886883088 -2012-02-19 04:00:00,6434.678891231303,203.25355050017842 -2012-02-19 05:00:00,6498.567973309559,203.1195789209061 -2012-02-19 06:00:00,6549.320898753038,203.29141167079268 -2012-02-19 07:00:00,6594.114566594148,203.56243067150263 -2012-02-19 08:00:00,6625.463583270601,203.92108471886516 -2012-02-19 09:00:00,6648.5026247061705,204.36490398220204 -2012-02-19 10:00:00,6669.179679721776,204.8277887055119 -2012-02-19 11:00:00,6690.313717243509,205.33359071050396 -2012-02-19 12:00:00,6723.644177551421,205.66532955020713 -2012-02-19 13:00:00,6754.548211603934,205.9140201966685 -2012-02-19 14:00:00,6783.855685282596,206.26198258481747 -2012-02-19 15:00:00,6809.991365825149,206.64449152010508 -2012-02-19 16:00:00,6835.470614942253,207.25807842621833 -2012-02-19 17:00:00,6844.281831772327,207.85959904347467 -2012-02-19 18:00:00,6862.725205604957,208.4365350587261 -2012-02-19 19:00:00,6878.920810574632,208.84717201293506 -2012-02-19 20:00:00,6881.779433126,208.77001976419461 -2012-02-19 21:00:00,6889.483986630769,208.32982583434062 -2012-02-19 22:00:00,6902.023957115731,207.61801516430464 -2012-02-19 23:00:00,6919.318519786651,205.84984002349358 -2012-02-20 00:00:00,6911.241444665316,202.51874853758977 -2012-02-20 01:00:00,6886.476285671553,196.66676725202845 -2012-02-20 02:00:00,6895.42522642721,194.06212823578198 -2012-02-20 03:00:00,6912.086420609014,193.6037752128564 -2012-02-20 04:00:00,6931.519879836877,193.73841477496384 -2012-02-20 05:00:00,6952.177009517608,194.38068063072478 -2012-02-20 06:00:00,6973.718052964131,194.92744340435672 -2012-02-20 07:00:00,6995.864122275984,195.75740233065187 -2012-02-20 08:00:00,7018.045154768346,196.51696885137505 -2012-02-20 09:00:00,7043.11931751682,196.7335238126538 -2012-02-20 10:00:00,7071.265301178006,196.9215805935273 -2012-02-20 11:00:00,7105.12017766163,196.95964184720745 -2012-02-20 12:00:00,7151.920673088691,196.97484293339136 -2012-02-20 13:00:00,7189.822499803541,197.55045938222273 -2012-02-20 14:00:00,7219.630513896428,198.7217460071555 -2012-02-20 15:00:00,7245.238157062418,199.2041974754957 -2012-02-20 16:00:00,7269.629646619684,199.274876995155 -2012-02-20 17:00:00,7291.445970038106,199.1537447270117 -2012-02-20 18:00:00,7315.469543971983,198.75212281332125 -2012-02-20 19:00:00,7334.6068201186645,198.35878535961496 -2012-02-20 20:00:00,7350.662582224709,198.14241702689404 -2012-02-20 21:00:00,7366.664107979242,197.87470814060836 -2012-02-20 22:00:00,7379.434273143407,197.63681037588003 -2012-02-20 23:00:00,7389.75711913324,197.3171448602521 -2012-02-21 00:00:00,7387.524499685085,197.000258524192 -2012-02-21 01:00:00,7389.913305103481,196.79309184284 -2012-02-21 02:00:00,7392.773058594787,196.83678854169023 -2012-02-21 03:00:00,7396.226650519838,196.97502469306207 -2012-02-21 04:00:00,7401.346563516433,197.3298561802583 -2012-02-21 05:00:00,7408.60486566123,197.84140767000434 -2012-02-21 06:00:00,7414.8251118804055,198.34896886377587 -2012-02-21 07:00:00,7418.84753337084,199.0509432732171 -2012-02-21 08:00:00,7421.629143538695,199.85893516563107 -2012-02-21 09:00:00,7423.164195656797,200.16617461307482 -2012-02-21 10:00:00,7423.317630657375,200.46426847727787 -2012-02-21 11:00:00,7420.8751062588,200.6361757028386 -2012-02-21 12:00:00,7417.832684012793,201.01101316367206 -2012-02-21 13:00:00,7414.536771346171,201.92498155835972 -2012-02-21 14:00:00,7413.602698843616,203.22560862136288 -2012-02-21 15:00:00,7413.222503470482,204.50935297519433 -2012-02-21 16:00:00,7412.083825336908,205.3470622118657 -2012-02-21 17:00:00,7410.8094982266375,206.0485911372831 -2012-02-21 18:00:00,7407.454897194413,206.4089197628915 -2012-02-21 19:00:00,7405.2704688929225,206.69785772330223 -2012-02-21 20:00:00,7405.50721839802,206.8562332416378 -2012-02-21 21:00:00,7406.996501521062,207.07906971097856 -2012-02-21 22:00:00,7410.312166478217,207.30400567360982 -2012-02-21 23:00:00,7414.216877425423,207.51483190588445 -2012-02-22 00:00:00,7420.221699015952,207.99685998248663 -2012-02-22 01:00:00,7427.822195054354,208.40783720159698 -2012-02-22 02:00:00,7434.809478345166,208.70495362617052 -2012-02-22 03:00:00,7441.914589334319,208.85392740700038 -2012-02-22 04:00:00,7449.647477201887,208.9511687118175 -2012-02-22 05:00:00,7459.052561204068,208.9896461404855 -2012-02-22 06:00:00,7468.492439542746,209.00139055880993 -2012-02-22 07:00:00,7476.278185677955,209.0252168720163 -2012-02-22 08:00:00,7481.273917128936,209.11652087284392 -2012-02-22 09:00:00,7483.0780954219035,209.2881660084976 -2012-02-22 10:00:00,7482.240563315152,209.49327312302424 -2012-02-22 11:00:00,7479.940999160566,209.69329377866742 -2012-02-22 12:00:00,7463.821584036369,209.91705551476144 -2012-02-22 13:00:00,7452.187340979242,210.1130014196846 -2012-02-22 14:00:00,7447.138051859751,210.2538426122816 -2012-02-22 15:00:00,7443.901041303373,210.32450349012214 -2012-02-22 16:00:00,7431.972062148176,210.39463318441364 -2012-02-22 17:00:00,7407.545450562816,210.55384195845778 -2012-02-22 18:00:00,7377.8128186235035,210.7831604969502 -2012-02-22 19:00:00,7328.252583254806,210.8858986597833 -2012-02-22 20:00:00,7257.965470552736,210.9279656156873 -2012-02-22 21:00:00,7194.011898899916,211.0249104974961 -2012-02-22 22:00:00,7122.451162206899,211.08448092736398 -2012-02-22 23:00:00,7070.232760439023,211.1671868244232 -2012-02-23 00:00:00,7045.898248763966,211.35288595008805 -2012-02-23 01:00:00,7037.064737851876,211.50707319847518 -2012-02-23 02:00:00,7032.718613994249,211.6344915516709 -2012-02-23 03:00:00,7029.80401166069,211.73917051597493 -2012-02-23 04:00:00,7028.029465667361,211.8266248599686 -2012-02-23 05:00:00,7029.745301237369,211.88101605762404 -2012-02-23 06:00:00,7035.036626116441,211.95290579913942 -2012-02-23 07:00:00,7039.98272670506,212.07270651150773 -2012-02-23 08:00:00,7043.32076094444,212.20723250985552 -2012-02-23 09:00:00,7044.572124598415,212.34787641421977 -2012-02-23 10:00:00,7043.494913017793,212.47089508082558 -2012-02-23 11:00:00,7039.437721365233,212.70721575787516 -2012-02-23 12:00:00,7020.7269370010445,212.9402867509561 -2012-02-23 13:00:00,7005.7555332603815,213.16808501870233 -2012-02-23 14:00:00,6995.088762217137,213.34091711294468 -2012-02-23 15:00:00,6992.061348412727,213.47189119734983 -2012-02-23 16:00:00,6989.40499438065,213.58662087884608 -2012-02-23 17:00:00,6988.072232122122,213.6644824612476 -2012-02-23 18:00:00,6987.013009769734,213.7839723094286 -2012-02-23 19:00:00,6986.0498540785475,213.97191194169417 -2012-02-23 20:00:00,6985.16803005524,214.15817292498426 -2012-02-23 21:00:00,6982.523072942187,214.26666404323922 -2012-02-23 22:00:00,6980.111401627767,214.35998873216917 -2012-02-23 23:00:00,6977.924198933548,214.43903368804615 -2012-02-24 00:00:00,6972.495121793515,214.4484047256615 -2012-02-24 01:00:00,6966.93601837406,214.46166904928543 -2012-02-24 02:00:00,6962.456011920569,214.47183145911245 -2012-02-24 03:00:00,6957.564362681165,214.4728996719444 -2012-02-24 04:00:00,6952.045086263263,214.35190216036443 -2012-02-24 05:00:00,6944.960473934923,213.98894374824405 -2012-02-24 06:00:00,6940.45603169995,213.64267060114472 -2012-02-24 07:00:00,6936.259887103626,213.3576886585658 -2012-02-24 08:00:00,6930.431086200793,213.18196508021592 -2012-02-24 09:00:00,6924.34738710031,213.1255698359526 -2012-02-24 10:00:00,6918.090518608412,213.0341341241731 -2012-02-24 11:00:00,6911.316295802216,212.8893564996928 -2012-02-24 12:00:00,6894.878394184682,212.6248406180016 -2012-02-24 13:00:00,6875.627285005828,211.93905114326742 -2012-02-24 14:00:00,6854.674889831697,210.818780196926 -2012-02-24 15:00:00,6833.158064528725,208.68495072446035 -2012-02-24 16:00:00,6797.7663882692195,200.07354203340265 -2012-02-24 17:00:00,6749.556252410546,177.8334112104043 -2012-02-24 18:00:00,6702.584490892343,161.02477249880036 -2012-02-24 19:00:00,6636.4784291647675,146.64898874970993 -2012-02-24 20:00:00,6542.013478747,131.94246480589518 -2012-02-24 21:00:00,6453.601444942333,125.23491856223824 -2012-02-24 22:00:00,6366.2552748615535,120.17037688277756 -2012-02-24 23:00:00,6306.486441043756,117.43724957984885 -2012-02-25 00:00:00,6285.838909009696,115.03228599482459 -2012-02-25 01:00:00,6280.5202539168085,112.5702454311295 -2012-02-25 02:00:00,6274.880346724799,110.00385252642882 -2012-02-25 03:00:00,6266.593746310145,108.09679214521204 -2012-02-25 04:00:00,6255.854386547874,106.18152779914105 -2012-02-25 05:00:00,6244.391772005063,104.10970806039688 -2012-02-25 06:00:00,6227.665466876525,103.28198838555134 -2012-02-25 07:00:00,6205.358437093775,102.81972294734649 -2012-02-25 08:00:00,6173.748169317707,102.40487952338742 -2012-02-25 09:00:00,6140.935922013557,102.0276971476923 -2012-02-25 10:00:00,6107.8645516788165,101.42470225060568 -2012-02-25 11:00:00,6073.755168879923,100.59568373548233 -2012-02-25 12:00:00,6036.602351447469,99.21181793948048 -2012-02-25 13:00:00,6004.251274153255,97.51105426121383 -2012-02-25 14:00:00,5984.335283778857,95.57277392361435 -2012-02-25 15:00:00,5976.0833286858215,93.74390531469544 -2012-02-25 16:00:00,5973.068833417523,91.92051189809749 -2012-02-25 17:00:00,5981.002385149621,90.56486718244388 -2012-02-25 18:00:00,5991.110566078229,90.12628591776077 -2012-02-25 19:00:00,6001.109414621268,89.71023048420815 -2012-02-25 20:00:00,6015.514286593049,89.28861858774047 -2012-02-25 21:00:00,6044.014959086706,88.95129601451009 -2012-02-25 22:00:00,6095.3824673595045,88.66327605457839 -2012-02-25 23:00:00,6175.445576032219,88.38864484668996 -2012-02-26 00:00:00,6249.579144678831,87.43251078935022 -2012-02-26 01:00:00,6324.33137920839,86.52652315974723 -2012-02-26 02:00:00,6375.42154433139,85.69863264519965 -2012-02-26 03:00:00,6408.6224201138475,85.1412920094186 -2012-02-26 04:00:00,6429.465178195175,84.80489504305052 -2012-02-26 05:00:00,6431.533836140484,84.57967252163083 -2012-02-26 06:00:00,6414.3136263908345,84.18515429929097 -2012-02-26 07:00:00,6396.31328404201,83.70496397483032 -2012-02-26 08:00:00,6384.952783302728,83.08137147645263 -2012-02-26 09:00:00,6371.966976533402,82.36018194321748 -2012-02-26 10:00:00,6354.575028496842,81.61975952356966 -2012-02-26 11:00:00,6328.839109780224,80.76817101603096 -2012-02-26 12:00:00,6295.210105702179,79.61341491671641 -2012-02-26 13:00:00,6268.662501100509,78.41144659615257 -2012-02-26 14:00:00,6245.746427747783,77.33757052476953 -2012-02-26 15:00:00,6227.267609806004,76.69803036980981 -2012-02-26 16:00:00,6207.238214103062,75.75202758343657 -2012-02-26 17:00:00,6185.16105740478,74.77125411868208 -2012-02-26 18:00:00,6158.459001700192,73.93630793974603 -2012-02-26 19:00:00,6134.555989133519,73.34543755725693 -2012-02-26 20:00:00,6112.578711355922,72.79155794440855 -2012-02-26 21:00:00,6090.90353800446,72.27134230782653 -2012-02-26 22:00:00,6069.215168357539,71.42498921678677 -2012-02-26 23:00:00,6047.135799762306,70.47922023252661 -2012-02-27 00:00:00,6033.249274143375,69.77467725679121 -2012-02-27 01:00:00,6020.19274440087,69.29642759155847 -2012-02-27 02:00:00,6007.743015980039,68.89221566648486 -2012-02-27 03:00:00,5995.649203585512,68.6754308191231 -2012-02-27 04:00:00,5984.465084111331,68.23283949940271 -2012-02-27 05:00:00,5973.205514783216,67.49041511763335 -2012-02-27 06:00:00,5960.640595909022,66.91776414987507 -2012-02-27 07:00:00,5944.3925805861745,66.06356374815662 -2012-02-27 08:00:00,5925.154846931707,65.27145660239886 -2012-02-27 09:00:00,5905.2082495526665,65.00739481880117 -2012-02-27 10:00:00,5882.988899126236,64.71086404280207 -2012-02-27 11:00:00,5858.311936238074,64.40416973932466 -2012-02-27 12:00:00,5825.354852514389,63.85754901562754 -2012-02-27 13:00:00,5800.19375687032,62.78208293847063 -2012-02-27 14:00:00,5782.571681791803,61.177828293464316 -2012-02-27 15:00:00,5770.102744424138,60.35054346587786 -2012-02-27 16:00:00,5758.247032875948,59.88833482213905 -2012-02-27 17:00:00,5745.402531836402,59.58722142469785 -2012-02-27 18:00:00,5726.302549201803,59.56034691367092 -2012-02-27 19:00:00,5709.4620140658535,59.510411400356546 -2012-02-27 20:00:00,5695.195759231925,59.42825713788294 -2012-02-27 21:00:00,5682.922101080133,59.40085154704981 -2012-02-27 22:00:00,5672.3644067767445,59.30391345220744 -2012-02-27 23:00:00,5662.628024429165,59.18795083328349 -2012-02-28 00:00:00,5666.877218375117,58.98500489241585 -2012-02-28 01:00:00,5669.915380299512,58.78730881685692 -2012-02-28 02:00:00,5672.063337546301,58.52175513626314 -2012-02-28 03:00:00,5673.216379314246,58.260853530307394 -2012-02-28 04:00:00,5674.3961544842705,57.854401707655285 -2012-02-28 05:00:00,5674.92801859346,57.307447116956595 -2012-02-28 06:00:00,5675.293538050938,56.756082585486375 -2012-02-28 07:00:00,5675.165327100514,56.009743699841394 -2012-02-28 08:00:00,5674.162429494972,55.15113000964119 -2012-02-28 09:00:00,5673.090892593361,54.77434985231722 -2012-02-28 10:00:00,5672.121843113656,54.387350559246286 -2012-02-28 11:00:00,5671.56185994238,54.0809726968984 -2012-02-28 12:00:00,5668.011130329468,53.4521893019453 -2012-02-28 13:00:00,5666.449170922633,52.28083338707225 -2012-02-28 14:00:00,5667.3440710722525,50.721906848737476 -2012-02-28 15:00:00,5668.777755514178,49.231463618677964 -2012-02-28 16:00:00,5670.639515319007,48.2297814205993 -2012-02-28 17:00:00,5672.45184757707,47.34452156182105 -2012-02-28 18:00:00,5674.855326687749,46.81811490414516 -2012-02-28 19:00:00,5675.969640505399,46.3426923271766 -2012-02-28 20:00:00,5675.315466629525,45.98162335116435 -2012-02-28 21:00:00,5675.273375032158,45.60279568099405 -2012-02-28 22:00:00,5675.199137354129,45.24801586602514 -2012-02-28 23:00:00,5675.299907221827,44.940773732887784 -2012-02-29 00:00:00,5668.934902863222,44.382209087733834 -2012-02-29 01:00:00,5662.531924156956,43.90848915161658 -2012-02-29 02:00:00,5656.159430682706,43.54347161653848 -2012-02-29 03:00:00,5649.6597227195325,43.32229571705463 -2012-02-29 04:00:00,5642.967622112669,43.14860102004867 -2012-02-29 05:00:00,5636.170858494285,43.04205900532528 -2012-02-29 06:00:00,5629.336576049734,42.961401626074256 -2012-02-29 07:00:00,5622.527694643336,42.87398449195275 -2012-02-29 08:00:00,5615.854739189647,42.72475894320714 -2012-02-29 09:00:00,5609.24680836841,42.48916654141873 -2012-02-29 10:00:00,5602.648664844428,42.221279407080516 -2012-02-29 11:00:00,5595.596128241055,41.95935209801745 -2012-02-29 12:00:00,5588.762786641972,41.65443049309793 -2012-02-29 13:00:00,5582.9455483908905,41.37127334052507 -2012-02-29 14:00:00,5577.492413926407,41.141349508469446 -2012-02-29 15:00:00,5572.152772090851,40.960929899315445 -2012-02-29 16:00:00,5567.094152572733,40.79593262121284 -2012-02-29 17:00:00,5561.723767431075,40.52721409383567 -2012-02-29 18:00:00,5557.905429586762,40.256205099961406 -2012-02-29 19:00:00,5553.310427349273,40.080979700120665 -2012-02-29 20:00:00,5547.863846879809,39.983125937416 -2012-02-29 21:00:00,5542.568693655379,39.86492518156758 -2012-02-29 22:00:00,5537.5620405639165,39.76551487454353 -2012-02-29 23:00:00,5532.605146843729,39.62091271468997 -2012-03-01 00:00:00,5528.672918767593,39.46021932452966 -2012-03-01 01:00:00,5524.507099791942,39.3498981129898 -2012-03-01 02:00:00,5520.186837464863,39.26453384859797 -2012-03-01 03:00:00,5515.615884321945,39.19105056602066 -2012-03-01 04:00:00,5510.907539449517,39.102098435586875 -2012-03-01 05:00:00,5506.09903774989,39.02585347290397 -2012-03-01 06:00:00,5501.160852692414,38.92384388817548 -2012-03-01 07:00:00,5495.232595487567,38.77236503838785 -2012-03-01 08:00:00,5488.719608538147,38.6036094016026 -2012-03-01 09:00:00,5482.044893119986,38.432163650790166 -2012-03-01 10:00:00,5474.69711821487,38.278235787222265 -2012-03-01 11:00:00,5466.7272426559075,38.02711747978806 -2012-03-01 12:00:00,5460.797904076801,37.7958929112161 -2012-03-01 13:00:00,5455.000135225732,37.61913909282008 -2012-03-01 14:00:00,5449.348215815394,37.51526375061142 -2012-03-01 15:00:00,5442.360317910822,37.49799995809396 -2012-03-01 16:00:00,5435.743317277828,37.493392490554726 -2012-03-01 17:00:00,5430.0972882037,37.53086839959277 -2012-03-01 18:00:00,5425.908049337871,37.5916989761863 -2012-03-01 19:00:00,5421.743610330269,37.53602840238033 -2012-03-01 20:00:00,5417.561565552489,37.39230925835116 -2012-03-01 21:00:00,5413.814825991441,37.246448840189224 -2012-03-01 22:00:00,5410.802238742647,37.105525917308 -2012-03-01 23:00:00,5405.727067288749,36.97713041916243 -2012-03-02 00:00:00,5401.464694262147,36.88641199484563 -2012-03-02 01:00:00,5397.338118280057,36.7670317370009 -2012-03-02 02:00:00,5393.332008568843,36.660391106793405 -2012-03-02 03:00:00,5389.309916928901,36.53342999019018 -2012-03-02 04:00:00,5385.280812621006,36.4413800324117 -2012-03-02 05:00:00,5381.172710831673,36.363178633858695 -2012-03-02 06:00:00,5376.245189102789,36.26806338965947 -2012-03-02 07:00:00,5369.719768859927,36.18718826917993 -2012-03-02 08:00:00,5361.782840576584,36.09854687929887 -2012-03-02 09:00:00,5352.631752870137,36.019226471610615 -2012-03-02 10:00:00,5339.991695495755,35.91330301443142 -2012-03-02 11:00:00,5324.057274015395,35.82409978199091 -2012-03-02 12:00:00,5308.445053858449,35.72399469743376 -2012-03-02 13:00:00,5292.258101431999,35.62657772333406 -2012-03-02 14:00:00,5277.697044189804,35.5283951226886 -2012-03-02 15:00:00,5264.926268106233,35.43790340763103 -2012-03-02 16:00:00,5250.800437048136,35.344229903162415 -2012-03-02 17:00:00,5237.116255413686,35.2442706152886 -2012-03-02 18:00:00,5225.584950952568,35.14882712864524 -2012-03-02 19:00:00,5216.762772454692,35.05090989280834 -2012-03-02 20:00:00,5208.484240100288,34.960157281944866 -2012-03-02 21:00:00,5200.047154348545,34.86259606814666 -2012-03-02 22:00:00,5190.9494513996215,34.77349447057757 -2012-03-02 23:00:00,5180.539425210299,34.67542215894063 -2012-03-03 00:00:00,5173.92160464703,34.59044296578051 -2012-03-03 01:00:00,5166.338026601247,34.49667616191522 -2012-03-03 02:00:00,5159.498371740306,34.40827827475699 -2012-03-03 03:00:00,5153.540353088735,34.31823339126456 -2012-03-03 04:00:00,5149.308583371061,34.22734739030265 -2012-03-03 05:00:00,5146.794869564159,34.13819329568664 -2012-03-03 06:00:00,5144.057756900211,34.04885495335331 -2012-03-03 07:00:00,5142.230351950575,33.9594027289426 -2012-03-03 08:00:00,5141.058741198174,33.87740350179161 -2012-03-03 09:00:00,5138.881200038735,33.83212235046939 -2012-03-03 10:00:00,5136.422760513708,33.91576654774427 -2012-03-03 11:00:00,5134.173969908036,34.19908609199071 -2012-03-03 12:00:00,5126.525266775343,34.610019861454504 -2012-03-03 13:00:00,5112.548148085574,35.278842863349745 -2012-03-03 14:00:00,5094.597937825561,36.29474366011442 -2012-03-03 15:00:00,5071.142832312496,37.9739915418509 -2012-03-03 16:00:00,5038.8029879183805,41.0240238468146 -2012-03-03 17:00:00,4994.776177221174,44.87055661148763 -2012-03-03 18:00:00,4953.706507891784,47.7107092164595 -2012-03-03 19:00:00,4912.9654407722865,49.795442541944475 -2012-03-03 20:00:00,4868.161239534066,50.97601526524394 -2012-03-03 21:00:00,4807.276313643774,51.25041832444347 -2012-03-03 22:00:00,4720.209306790285,51.38501814739355 -2012-03-03 23:00:00,4601.089875907402,51.456960874014364 -2012-03-04 00:00:00,4494.209860047688,51.420408623458776 -2012-03-04 01:00:00,4382.164040218553,51.4811159403464 -2012-03-04 02:00:00,4288.783074299078,51.54081245309603 -2012-03-04 03:00:00,4209.189750896194,51.56483572345195 -2012-03-04 04:00:00,4130.2956367905335,51.583360660704926 -2012-03-04 05:00:00,4058.4818848255313,51.631237486650285 -2012-03-04 06:00:00,4019.219597159463,51.680073667935424 -2012-03-04 07:00:00,3986.5086192117324,51.78649044516062 -2012-03-04 08:00:00,3958.608039344513,51.910619639039446 -2012-03-04 09:00:00,3939.021318857555,52.200601443942666 -2012-03-04 10:00:00,3924.7096613460867,52.84804919831624 -2012-03-04 11:00:00,3919.79395522931,53.623402404473794 -2012-03-04 12:00:00,3914.747213230731,54.132871265191106 -2012-03-04 13:00:00,3912.0817043255615,54.32275325912927 -2012-03-04 14:00:00,3908.5472932923094,54.251274137158646 -2012-03-04 15:00:00,3898.1677599874733,54.064157159923035 -2012-03-04 16:00:00,3886.8856598674374,53.85387743800211 -2012-03-04 17:00:00,3874.4950004773,53.657522227601596 -2012-03-04 18:00:00,3861.793391439931,53.26023328197569 -2012-03-04 19:00:00,3850.257114744908,52.91819993740882 -2012-03-04 20:00:00,3839.7502073129644,52.737808323869125 -2012-03-04 21:00:00,3829.2620285259372,52.66250672866386 -2012-03-04 22:00:00,3817.633002715676,52.614329152937295 -2012-03-04 23:00:00,3805.464510466468,52.60386591943595 -2012-03-05 00:00:00,3800.9853279820154,52.48920049120455 -2012-03-05 01:00:00,3792.7653075875655,52.38457683024824 -2012-03-05 02:00:00,3782.8888291978365,52.295423928389575 -2012-03-05 03:00:00,3771.9652659820517,52.23300364537095 -2012-03-05 04:00:00,3759.8753556728866,52.178701716038276 -2012-03-05 05:00:00,3746.068742724439,52.15033698139751 -2012-03-05 06:00:00,3732.2066267799933,52.1326878870223 -2012-03-05 07:00:00,3718.726311654709,52.13057743028625 -2012-03-05 08:00:00,3709.1182733796572,52.118551066660906 -2012-03-05 09:00:00,3704.220187634027,52.0738143541708 -2012-03-05 10:00:00,3706.110562434314,52.01253253366785 -2012-03-05 11:00:00,3714.7657815391913,51.98008769692616 -2012-03-05 12:00:00,3715.936367552452,51.96840229641169 -2012-03-05 13:00:00,3734.1924495381327,51.95546670418936 -2012-03-05 14:00:00,3764.7955877507275,51.9454731683127 -2012-03-05 15:00:00,3799.1038889166693,51.920674220299574 -2012-03-05 16:00:00,3891.0573124327243,51.87522744189795 -2012-03-05 17:00:00,4050.3462410730376,51.83945475952255 -2012-03-05 18:00:00,4230.883717227634,51.668779864543716 -2012-03-05 19:00:00,4417.747088796821,51.55813712599717 -2012-03-05 20:00:00,4610.2602035236005,51.44352708634151 -2012-03-05 21:00:00,4765.04655855691,51.322871569222436 -2012-03-05 22:00:00,4936.768584226498,51.25454301653424 -2012-03-05 23:00:00,5083.698516520011,51.15651292859132 -2012-03-06 00:00:00,5176.13641456226,51.0890450321059 -2012-03-06 01:00:00,5262.751404208197,51.02100206001127 -2012-03-06 02:00:00,5359.691983371064,50.941108371312076 -2012-03-06 03:00:00,5425.253582404973,50.8880258785368 -2012-03-06 04:00:00,5494.044578762749,50.84433931200983 -2012-03-06 05:00:00,5546.593401308918,50.7924012597146 -2012-03-06 06:00:00,5574.022433848831,50.74511635594618 -2012-03-06 07:00:00,5599.790871010535,50.6997275180201 -2012-03-06 08:00:00,5621.073399916111,50.65486402575133 -2012-03-06 09:00:00,5633.795247165946,50.61032613907981 -2012-03-06 10:00:00,5645.178605664533,50.56454662846769 -2012-03-06 11:00:00,5653.956319504998,50.51726980882666 -2012-03-06 12:00:00,5671.969327232929,50.46819525638341 -2012-03-06 13:00:00,5691.265687294628,50.42604567353416 -2012-03-06 14:00:00,5704.34167443946,50.39075984054115 -2012-03-06 15:00:00,5723.285278687424,50.360683381603685 -2012-03-06 16:00:00,5760.8200613563,50.32819509970584 -2012-03-06 17:00:00,5839.658761510527,50.29768711632387 -2012-03-06 18:00:00,5922.787506382966,50.25665284574492 -2012-03-06 19:00:00,6001.818324764391,50.205472340638245 -2012-03-06 20:00:00,6058.567309129962,50.15399379732297 -2012-03-06 21:00:00,6105.906437645659,50.098879875760254 -2012-03-06 22:00:00,6144.91000290825,50.056789779416754 -2012-03-06 23:00:00,6164.144973654611,49.99941405490153 -2012-03-07 00:00:00,6171.350665197947,49.94783801122443 -2012-03-07 01:00:00,6178.042319238415,49.89650224828172 -2012-03-07 02:00:00,6184.596841490708,49.846751229573634 -2012-03-07 03:00:00,6192.42564176121,49.805657473572836 -2012-03-07 04:00:00,6200.184796904517,49.76925803200312 -2012-03-07 05:00:00,6207.679045596751,49.72364726571108 -2012-03-07 06:00:00,6215.5593347991935,49.6810900105054 -2012-03-07 07:00:00,6225.551734892088,49.634619608833525 -2012-03-07 08:00:00,6240.217101948263,49.58448974809327 -2012-03-07 09:00:00,6255.165364289449,49.530616930953435 -2012-03-07 10:00:00,6271.306511321791,49.478325080765906 -2012-03-07 11:00:00,6289.618376277145,49.43181264657735 -2012-03-07 12:00:00,6305.899793451608,49.393742332821894 -2012-03-07 13:00:00,6327.962008935865,49.350785445017486 -2012-03-07 14:00:00,6352.025038582045,49.288847561139214 -2012-03-07 15:00:00,6376.729315745025,49.23982174265326 -2012-03-07 16:00:00,6402.058928914747,49.1913720014445 -2012-03-07 17:00:00,6426.97075498811,49.14929385811636 -2012-03-07 18:00:00,6444.996599850054,49.086967858453995 -2012-03-07 19:00:00,6462.32562501447,49.05188916156164 -2012-03-07 20:00:00,6478.571281097685,48.96827586651696 -2012-03-07 21:00:00,6495.930079521722,48.909291016285835 -2012-03-07 22:00:00,6514.9071599068175,48.86814073410448 -2012-03-07 23:00:00,6537.889838583997,48.853156978783716 -2012-03-08 00:00:00,6548.625501983871,48.97551113324583 -2012-03-08 01:00:00,6568.14795015444,49.09038327799079 -2012-03-08 02:00:00,6598.349675845933,49.18559549263892 -2012-03-08 03:00:00,6644.656732794479,49.2341062523914 -2012-03-08 04:00:00,6710.042916105281,49.2630206691748 -2012-03-08 05:00:00,6782.707745797024,49.263407952453115 -2012-03-08 06:00:00,6848.674597605374,49.24869491769419 -2012-03-08 07:00:00,6909.476011040537,49.223880671877 -2012-03-08 08:00:00,6944.30678291585,49.1926302447119 -2012-03-08 09:00:00,6958.408204119267,49.16643797550518 -2012-03-08 10:00:00,6964.898519794806,49.14426189958723 -2012-03-08 11:00:00,6973.664745459882,49.15212227230896 -2012-03-08 12:00:00,6984.748549943377,49.21165843086221 -2012-03-08 13:00:00,6996.257617221837,49.229570963847735 -2012-03-08 14:00:00,7005.993154654662,49.27899978841659 -2012-03-08 15:00:00,7016.887349131044,49.207725463279566 -2012-03-08 16:00:00,7028.9697419733375,49.11228805595241 -2012-03-08 17:00:00,7042.935891955895,48.991065811674616 -2012-03-08 18:00:00,7057.4629797705975,48.788081887355915 -2012-03-08 19:00:00,7076.862128243405,48.63309827082764 -2012-03-08 20:00:00,7103.673360206978,48.569672164114046 -2012-03-08 21:00:00,7141.083819505314,48.55649565264367 -2012-03-08 22:00:00,7193.269286629916,48.55583428117679 -2012-03-08 23:00:00,7269.987880728967,48.533748502597895 -2012-03-09 00:00:00,7337.596633685003,48.49715636697805 -2012-03-09 01:00:00,7402.135146497168,48.47849111616708 -2012-03-09 02:00:00,7461.298739885657,48.44314814066994 -2012-03-09 03:00:00,7513.383398148307,48.440418048462995 -2012-03-09 04:00:00,7561.461144865976,48.40665011304813 -2012-03-09 05:00:00,7605.507335197481,48.37718623068066 -2012-03-09 06:00:00,7646.266085762681,48.35657639071629 -2012-03-09 07:00:00,7689.194694694092,48.328528268086686 -2012-03-09 08:00:00,7727.2021770590545,48.29635501576756 -2012-03-09 09:00:00,7755.182121797085,48.270304183202946 -2012-03-09 10:00:00,7781.083097214577,48.254439945206144 -2012-03-09 11:00:00,7798.987371508399,48.21934723692033 -2012-03-09 12:00:00,7814.859693141444,48.196602046959214 -2012-03-09 13:00:00,7831.967455491604,48.16838210983196 -2012-03-09 14:00:00,7849.967222128511,48.14800451503832 -2012-03-09 15:00:00,7869.18566815987,48.1313845484826 -2012-03-09 16:00:00,7887.735200183926,48.16103747878203 -2012-03-09 17:00:00,7906.557247091242,48.22040799346716 -2012-03-09 18:00:00,7925.781180736404,48.287800756964 -2012-03-09 19:00:00,7946.4618313305655,48.300100462812736 -2012-03-09 20:00:00,7967.445344766191,48.29091528772124 -2012-03-09 21:00:00,7988.821659486852,48.29578035775357 -2012-03-09 22:00:00,8011.2587420370655,48.300412966806306 -2012-03-09 23:00:00,8035.043476372824,48.301400678067644 -2012-03-10 00:00:00,8050.848343110138,48.28587883196609 -2012-03-10 01:00:00,8071.538657951665,48.26976801459721 -2012-03-10 02:00:00,8095.611224371935,48.25056868153746 -2012-03-10 03:00:00,8120.703587324581,48.235470287467095 -2012-03-10 04:00:00,8145.765491297732,48.21715208894099 -2012-03-10 05:00:00,8169.704616116369,48.20159003959634 -2012-03-10 06:00:00,8189.347504614511,48.18240134626244 -2012-03-10 07:00:00,8206.523359887433,48.16570171002035 -2012-03-10 08:00:00,8221.944636958993,48.14087394362896 -2012-03-10 09:00:00,8238.514715920199,48.08337281656601 -2012-03-10 10:00:00,8255.49219674022,47.898993633020226 -2012-03-10 11:00:00,8271.060055743439,47.55477330579183 -2012-03-10 12:00:00,8283.200986201611,47.13534093766507 -2012-03-10 13:00:00,8297.87224640422,46.97248782818886 -2012-03-10 14:00:00,8315.216772226517,48.65767730331126 -2012-03-10 15:00:00,8333.506757733236,51.99833136283805 -2012-03-10 16:00:00,8352.71418500796,55.27788957980554 -2012-03-10 17:00:00,8372.75946164944,56.473926617294424 -2012-03-10 18:00:00,8392.670101931515,55.29015066341029 -2012-03-10 19:00:00,8411.69502912911,54.06873551436147 -2012-03-10 20:00:00,8429.817986834561,53.462314028863894 -2012-03-10 21:00:00,8447.651255729086,53.30119337683334 -2012-03-10 22:00:00,8465.140124320293,53.12743866914458 -2012-03-10 23:00:00,8482.701641707887,52.97126409032782 -2012-03-11 00:00:00,8496.382678091792,52.83896250694645 -2012-03-11 01:00:00,8510.1137087496,52.6488944142492 -2012-03-11 02:00:00,8523.910486359971,52.45838569256806 -2012-03-11 03:00:00,8537.901384143799,52.323831390015926 -2012-03-11 04:00:00,8552.211897858682,52.18419843201261 -2012-03-11 05:00:00,8566.898803494365,52.056450891792345 -2012-03-11 06:00:00,8581.723051636814,51.96319890425431 -2012-03-11 07:00:00,8596.203836773024,51.77726716048522 -2012-03-11 08:00:00,8609.134969579041,51.561816926896356 -2012-03-11 09:00:00,8620.214619704248,51.18351392719015 -2012-03-11 10:00:00,8628.90696167811,50.46320860799663 -2012-03-11 11:00:00,8635.07032437492,49.71330518227624 -2012-03-11 12:00:00,8642.027648101626,49.384458458370645 -2012-03-11 13:00:00,8644.522236980787,49.60461523043264 -2012-03-11 14:00:00,8649.424600854927,50.06170007526503 -2012-03-11 15:00:00,8661.108012685045,50.593602563985066 -2012-03-11 16:00:00,8673.56144718483,51.10926958142967 -2012-03-11 17:00:00,8687.294288777806,51.40651934660367 -2012-03-11 18:00:00,8701.083223265798,51.95166669429838 -2012-03-11 19:00:00,8713.125467596452,52.4713548982306 -2012-03-11 20:00:00,8724.100478175062,52.58150047443837 -2012-03-11 21:00:00,8734.841555434134,52.561204219075634 -2012-03-11 22:00:00,8746.198562325724,52.51616230366726 -2012-03-11 23:00:00,8757.764410437376,52.451460262990835 -2012-03-12 00:00:00,8759.347042007885,52.40966538659758 -2012-03-12 01:00:00,8764.369386337035,52.40103181455575 -2012-03-12 02:00:00,8770.627961629682,52.48349359471605 -2012-03-12 03:00:00,8777.537345015533,52.59439171270895 -2012-03-12 04:00:00,8785.215913133054,52.70922753970275 -2012-03-12 05:00:00,8794.283090646702,52.7862364192324 -2012-03-12 06:00:00,8803.139946332027,52.76305610269013 -2012-03-12 07:00:00,8811.290932048278,52.69538693619295 -2012-03-12 08:00:00,8814.827401431136,52.63684268002507 -2012-03-12 09:00:00,8813.115681329153,52.614028964620445 -2012-03-12 10:00:00,8804.055446354314,52.59398354021423 -2012-03-12 11:00:00,8786.634361903394,52.573349452631305 -2012-03-12 12:00:00,8773.438070144886,52.5514730775878 -2012-03-12 13:00:00,8744.390691851835,52.63262913508552 -2012-03-12 14:00:00,8703.528745319642,52.728090307746974 -2012-03-12 15:00:00,8660.657107715799,52.74528172726654 -2012-03-12 16:00:00,8560.512318864292,52.74380884615232 -2012-03-12 17:00:00,8393.132343563477,52.74028067632937 -2012-03-12 18:00:00,8205.51894297507,52.7345109068116 -2012-03-12 19:00:00,8011.240617385933,52.7397961226406 -2012-03-12 20:00:00,7809.9719510352525,52.76341782674036 -2012-03-12 21:00:00,7645.493176246338,52.80076307071632 -2012-03-12 22:00:00,7462.80828278563,52.801631408454725 -2012-03-12 23:00:00,7304.200678731595,52.78178741269146 -2012-03-13 00:00:00,7200.075190645039,52.757709443566924 -2012-03-13 01:00:00,7102.566484369923,52.728124244284786 -2012-03-13 02:00:00,6995.718870246051,52.70552817479715 -2012-03-13 03:00:00,6921.519509059076,52.68866100005701 -2012-03-13 04:00:00,6843.83546989054,52.66770339282458 -2012-03-13 05:00:00,6782.815967786437,52.63846300035038 -2012-03-13 06:00:00,6747.098412044423,52.62033920155767 -2012-03-13 07:00:00,6713.293360917088,52.60059358290027 -2012-03-13 08:00:00,6684.811036956952,52.57864531365537 -2012-03-13 09:00:00,6665.909421446247,52.564268608523264 -2012-03-13 10:00:00,6649.993344870839,52.5493619733689 -2012-03-13 11:00:00,6637.727795746667,52.56289014232703 -2012-03-13 12:00:00,6617.651298397718,52.61031599063506 -2012-03-13 13:00:00,6594.858228332755,52.686860161393774 -2012-03-13 14:00:00,6575.832924012462,52.75034273876051 -2012-03-13 15:00:00,6551.2789436538915,52.74185433956012 -2012-03-13 16:00:00,6507.681525719285,52.7176733388892 -2012-03-13 17:00:00,6420.517133301456,52.69258890920238 -2012-03-13 18:00:00,6327.79561588748,52.804687934532296 -2012-03-13 19:00:00,6239.435601305993,52.85499350481123 -2012-03-13 20:00:00,6174.186431042127,52.87341204965893 -2012-03-13 21:00:00,6118.278325241359,52.86826742705202 -2012-03-13 22:00:00,6070.412046092972,52.849418247707284 -2012-03-13 23:00:00,6042.449053358601,52.84252913603446 -2012-03-14 00:00:00,6030.28546457894,52.82725530510466 -2012-03-14 01:00:00,6017.277859053435,52.80971240550503 -2012-03-14 02:00:00,6004.645886879389,52.79233253137823 -2012-03-14 03:00:00,5990.56302923866,52.773326629943696 -2012-03-14 04:00:00,5976.603049131657,52.75295330892396 -2012-03-14 05:00:00,5962.947502839643,52.74188861914258 -2012-03-14 06:00:00,5949.452975611023,52.728815478544064 -2012-03-14 07:00:00,5935.36968607905,52.72233793213829 -2012-03-14 08:00:00,5917.656776086623,52.731942940052605 -2012-03-14 09:00:00,5899.428210957428,52.75619091186151 -2012-03-14 10:00:00,5879.533821147197,52.83027394722069 -2012-03-14 11:00:00,5856.746374499884,52.943499914300475 -2012-03-14 12:00:00,5838.345532400899,53.03141421119217 -2012-03-14 13:00:00,5812.082176199305,53.10209515048986 -2012-03-14 14:00:00,5782.794485850256,53.210539145374184 -2012-03-14 15:00:00,5752.887867018439,53.35783507194895 -2012-03-14 16:00:00,5722.459216942479,53.56399985498396 -2012-03-14 17:00:00,5692.323036605086,53.68516461694177 -2012-03-14 18:00:00,5667.878590772496,53.61323277941707 -2012-03-14 19:00:00,5644.477894015909,53.496072628643724 -2012-03-14 20:00:00,5622.549920462749,53.40489775399639 -2012-03-14 21:00:00,5599.574211123899,53.33727392307917 -2012-03-14 22:00:00,5575.3683863898505,53.30477261956599 -2012-03-14 23:00:00,5547.4834636625765,53.260486073893155 -2012-03-15 00:00:00,5534.38613366298,53.170324774964584 -2012-03-15 01:00:00,5511.196966207218,53.01283575237445 -2012-03-15 02:00:00,5476.968518774389,52.91561656036792 -2012-03-15 03:00:00,5426.4938657768635,52.8815146115033 -2012-03-15 04:00:00,5356.905890881216,52.95023481854132 -2012-03-15 05:00:00,5280.008555439735,53.15971359123834 -2012-03-15 06:00:00,5209.897605206014,53.43294251194109 -2012-03-15 07:00:00,5145.40896017363,53.759379402890936 -2012-03-15 08:00:00,5107.334107824513,54.158079246999804 -2012-03-15 09:00:00,5090.026664847538,54.36358765118083 -2012-03-15 10:00:00,5080.471539288646,54.66120764325363 -2012-03-15 11:00:00,5069.272095334362,54.868986601045606 -2012-03-15 12:00:00,5055.880168559782,55.1616329528001 -2012-03-15 13:00:00,5042.019252271957,55.42370503114677 -2012-03-15 14:00:00,5029.209335309749,56.13252786912595 -2012-03-15 15:00:00,5015.548867122858,57.22197644261618 -2012-03-15 16:00:00,5000.299099342905,58.97961108256168 -2012-03-15 17:00:00,4982.475191140605,60.88347287158491 -2012-03-15 18:00:00,4963.928245051485,62.38005424642697 -2012-03-15 19:00:00,4939.90130175585,63.36525527513093 -2012-03-15 20:00:00,4907.643923667753,63.703071849394306 -2012-03-15 21:00:00,4865.069158960876,63.84069217569303 -2012-03-15 22:00:00,4807.384946517193,63.960898764582254 -2012-03-15 23:00:00,4727.2958884075515,64.12546049426965 -2012-03-16 00:00:00,4656.9885667342905,64.19532789677858 -2012-03-16 01:00:00,4589.8567398354435,64.27999389675581 -2012-03-16 02:00:00,4528.16951993109,64.40149243260608 -2012-03-16 03:00:00,4473.6297300657625,64.55235710475839 -2012-03-16 04:00:00,4423.150308291343,64.78253221550914 -2012-03-16 05:00:00,4376.832573055428,65.07443154706228 -2012-03-16 06:00:00,4333.687651182522,65.78161113260431 -2012-03-16 07:00:00,4288.354688450348,66.73775382557949 -2012-03-16 08:00:00,4247.897557830596,67.97487261391193 -2012-03-16 09:00:00,4217.581303727689,69.0894618573929 -2012-03-16 10:00:00,4189.310159207522,70.70014741256196 -2012-03-16 11:00:00,4168.778027392417,72.44482338368255 -2012-03-16 12:00:00,4150.622795954489,74.5234536377857 -2012-03-16 13:00:00,4131.092519820187,76.8358149245006 -2012-03-16 14:00:00,4110.373710018709,80.3675029762432 -2012-03-16 15:00:00,4089.268616378066,86.66038170747412 -2012-03-16 16:00:00,4068.4232871986005,97.8882626181779 -2012-03-16 17:00:00,4047.321988615685,106.773429057531 -2012-03-16 18:00:00,4023.992097490199,110.26281391528586 -2012-03-16 19:00:00,3998.9857795131993,112.66874007825687 -2012-03-16 20:00:00,3973.3510876995897,114.58648440131262 -2012-03-16 21:00:00,3948.0789553163368,115.71808476188845 -2012-03-16 22:00:00,3922.265797620101,116.73021807403057 -2012-03-16 23:00:00,3895.168549485028,117.72028923731179 -2012-03-17 00:00:00,3874.0994875528754,118.20669474295664 -2012-03-17 01:00:00,3849.4143408971254,118.47975513273292 -2012-03-17 02:00:00,3821.63802925363,118.68955522779942 -2012-03-17 03:00:00,3793.4018298671135,118.85607973369505 -2012-03-17 04:00:00,3765.1571140788956,119.06582669173201 -2012-03-17 05:00:00,3737.2440170641758,119.34694224107453 -2012-03-17 06:00:00,3714.3250620099416,119.56415115637826 -2012-03-17 07:00:00,3692.638910508023,119.71552814141799 -2012-03-17 08:00:00,3672.259414798426,119.78135264468483 -2012-03-17 09:00:00,3652.5037341096063,119.8232001011351 -2012-03-17 10:00:00,3633.6681189908604,119.89690075349202 -2012-03-17 11:00:00,3615.5257006772,119.98628328883434 -2012-03-17 12:00:00,3595.863403338225,120.01004207164311 -2012-03-17 13:00:00,3577.6708867817124,119.81293838563842 -2012-03-17 14:00:00,3558.934120031212,117.33353694450955 -2012-03-17 15:00:00,3542.0331872372535,112.32886844634932 -2012-03-17 16:00:00,3525.8428581363596,105.93747119240113 -2012-03-17 17:00:00,3513.1636971370426,100.72451394599443 -2012-03-17 18:00:00,3504.8560354413357,98.76369070995351 -2012-03-17 19:00:00,3504.7978225913557,97.70933025283784 -2012-03-17 20:00:00,3528.0133111678356,96.99918709549735 -2012-03-17 21:00:00,3545.738032618353,96.68095565501261 -2012-03-17 22:00:00,3556.2105214670264,96.5120596542648 -2012-03-17 23:00:00,3554.4834695846503,96.43927489210996 -2012-03-18 00:00:00,3551.814120300145,96.4337011482764 -2012-03-18 01:00:00,3544.0391058440086,96.44893382233052 -2012-03-18 02:00:00,3535.681183813825,96.47552332965597 -2012-03-18 03:00:00,3525.6263446879952,96.49710644782496 -2012-03-18 04:00:00,3514.247849309106,96.53045444008444 -2012-03-18 05:00:00,3500.1756833835275,96.5264246385442 -2012-03-18 06:00:00,3483.919823631644,96.49582328179092 -2012-03-18 07:00:00,3467.8819133053917,96.51008336678863 -2012-03-18 08:00:00,3454.8094955439765,96.53458551608402 -2012-03-18 09:00:00,3442.8234828974737,96.55424773723405 -2012-03-18 10:00:00,3432.4389206087003,96.55801261295636 -2012-03-18 11:00:00,3423.462029299108,96.45090893544771 -2012-03-18 12:00:00,3422.086276879939,96.1997975471044 -2012-03-18 13:00:00,3419.86000127302,95.71672753581097 -2012-03-18 14:00:00,3413.5360983220817,95.19827098538676 -2012-03-18 15:00:00,3405.750040186247,94.64451139492431 -2012-03-18 16:00:00,3400.218353820131,94.09552868424672 -2012-03-18 17:00:00,3394.565385429262,93.75579554867406 -2012-03-18 18:00:00,3388.642164937604,93.18438203547764 -2012-03-18 19:00:00,3382.7941712416778,92.64838428701498 -2012-03-18 20:00:00,3376.2422561896983,92.5209066356498 -2012-03-18 21:00:00,3368.212976152935,92.52743105991507 -2012-03-18 22:00:00,3360.597377376111,92.55713167559864 -2012-03-18 23:00:00,3352.4493810949316,92.5886303101152 -2012-03-19 00:00:00,3348.0642011854716,92.5985309912861 -2012-03-19 01:00:00,3348.7387143715428,92.55617116126697 -2012-03-19 02:00:00,3362.035287062355,92.43483992626015 -2012-03-19 03:00:00,3389.910296079084,92.28595266643757 -2012-03-19 04:00:00,3423.717468403041,92.17578108154554 -2012-03-19 05:00:00,3441.132758881542,92.08275613608986 -2012-03-19 06:00:00,3433.5700333443183,92.07306077499385 -2012-03-19 07:00:00,3421.0851511418514,92.09251194820851 -2012-03-19 08:00:00,3409.0299411097853,92.11577862825628 -2012-03-19 09:00:00,3397.484979928644,92.12760088858758 -2012-03-19 10:00:00,3386.6961949536885,92.14169085696217 -2012-03-19 11:00:00,3377.1344126391755,92.12537992338544 -2012-03-19 12:00:00,3374.8500123740696,92.10052415610551 -2012-03-19 13:00:00,3371.6893264628875,91.98012531964285 -2012-03-19 14:00:00,3370.497568119146,91.84646376950776 -2012-03-19 15:00:00,3374.1397038200275,91.80142314620629 -2012-03-19 16:00:00,3392.0614499761614,91.79537945538428 -2012-03-19 17:00:00,3428.0114755507834,91.77919981760606 -2012-03-19 18:00:00,3463.0087776173377,91.77472482138508 -2012-03-19 19:00:00,3507.5882879146716,91.75996720262157 -2012-03-19 20:00:00,3577.5622679962503,91.73087714966177 -2012-03-19 21:00:00,3655.703828402822,91.70525275025503 -2012-03-19 22:00:00,3728.694014330813,91.70398969400912 -2012-03-19 23:00:00,3778.6898858525806,91.72659310889814 -2012-03-20 00:00:00,3813.700266200225,91.75107667681522 -2012-03-20 01:00:00,3851.1873052110004,91.77841208133752 -2012-03-20 02:00:00,3893.8879683914247,91.80596024529629 -2012-03-20 03:00:00,3937.395673072528,91.83294942063246 -2012-03-20 04:00:00,3988.7398124320384,91.85448208229234 -2012-03-20 05:00:00,4051.084421497414,91.88787552706466 -2012-03-20 06:00:00,4095.638379953074,91.91405704473529 -2012-03-20 07:00:00,4126.344462171958,91.94279787883833 -2012-03-20 08:00:00,4147.016946516272,91.96967926007787 -2012-03-20 09:00:00,4161.656205611308,91.99613743704592 -2012-03-20 10:00:00,4169.986153834832,92.01412820284754 -2012-03-20 11:00:00,4172.240976174336,92.00918180651149 -2012-03-20 12:00:00,4170.334458205822,91.9652195709611 -2012-03-20 13:00:00,4171.173790130866,91.89037716354284 -2012-03-20 14:00:00,4173.6100559074175,91.82590440124173 -2012-03-20 15:00:00,4176.553807410898,91.82139641753012 -2012-03-20 16:00:00,4179.534042462156,91.84605790073975 -2012-03-20 17:00:00,4184.119262432252,91.86536734785946 -2012-03-20 18:00:00,4189.566614036967,91.75145200181322 -2012-03-20 19:00:00,4195.460712350997,91.70519370639629 -2012-03-20 20:00:00,4200.350800449596,91.6955940710652 -2012-03-20 21:00:00,4205.637926123931,91.70664037813872 -2012-03-20 22:00:00,4211.675613854713,91.7245466735724 -2012-03-20 23:00:00,4217.652675444581,91.73669197240235 -2012-03-21 00:00:00,4219.693389643665,91.75646041390277 -2012-03-21 01:00:00,4224.075019508039,91.78123458445752 -2012-03-21 02:00:00,4229.237832541227,91.80783241571287 -2012-03-21 03:00:00,4234.742803741614,91.83334226598237 -2012-03-21 04:00:00,4240.4205253286855,91.85386720458543 -2012-03-21 05:00:00,4246.281133607605,91.8715360511728 -2012-03-21 06:00:00,4251.137764350681,91.89086722102014 -2012-03-21 07:00:00,4254.339761713511,91.9016082145732 -2012-03-21 08:00:00,4256.4656647728,91.8910010847068 -2012-03-21 09:00:00,4259.298688521138,91.86707208567131 -2012-03-21 10:00:00,4263.848861210071,91.77894304424538 -2012-03-21 11:00:00,4270.309567288069,91.67003658807154 -2012-03-21 12:00:00,4276.025443656255,91.57645344522483 -2012-03-21 13:00:00,4282.59581391292,91.49882688493285 -2012-03-21 14:00:00,4289.576060215654,91.39290698959545 -2012-03-21 15:00:00,4296.184172467587,91.22303670736957 -2012-03-21 16:00:00,4302.236151410028,91.01060388320532 -2012-03-21 17:00:00,4308.733696257107,90.87577587374845 -2012-03-21 18:00:00,4315.205939233796,90.847844332402 -2012-03-21 19:00:00,4321.793922930855,90.84191810226476 -2012-03-21 20:00:00,4328.24813712693,90.84349105580294 -2012-03-21 21:00:00,4334.545663008774,90.858582015991 -2012-03-21 22:00:00,4340.231445346324,90.8465252391517 -2012-03-21 23:00:00,4345.500121464233,90.86510093293873 -2012-03-22 00:00:00,4346.917687730834,90.78892876754486 -2012-03-22 01:00:00,4349.743796359309,90.766883360696 -2012-03-22 02:00:00,4353.135356554007,90.69118983715737 -2012-03-22 03:00:00,4356.991456145055,90.58825910167616 -2012-03-22 04:00:00,4360.988185441254,90.44596079405783 -2012-03-22 05:00:00,4365.328438293492,90.19944228747048 -2012-03-22 06:00:00,4369.794131413595,89.91061438701581 -2012-03-22 07:00:00,4374.052136710913,89.57879269076409 -2012-03-22 08:00:00,4378.006961790161,89.18301574261702 -2012-03-22 09:00:00,4382.24906388928,88.96920938619077 -2012-03-22 10:00:00,4387.65049005146,88.66324765832793 -2012-03-22 11:00:00,4394.005345912207,88.403770616669 -2012-03-22 12:00:00,4406.0880283287315,87.99065811705 -2012-03-22 13:00:00,4416.99211667939,87.61322945809674 -2012-03-22 14:00:00,4426.88790741748,86.74234472558821 -2012-03-22 15:00:00,4435.500964866982,85.5877025902285 -2012-03-22 16:00:00,4443.119847474705,83.86112318485833 -2012-03-22 17:00:00,4450.19866427778,81.97100992937355 -2012-03-22 18:00:00,4456.082134171748,80.4794136042167 -2012-03-22 19:00:00,4462.240219919532,79.50325958910084 -2012-03-22 20:00:00,4468.238125998445,79.14454683313053 -2012-03-22 21:00:00,4473.9985656822,78.98366356553832 -2012-03-22 22:00:00,4479.5115236134525,78.86824484076669 -2012-03-22 23:00:00,4484.969408959504,78.7285595458177 -2012-03-23 00:00:00,4488.145791513737,78.66195840947859 -2012-03-23 01:00:00,4491.62437717479,78.62511600500846 -2012-03-23 02:00:00,4495.176034853638,78.71181326761774 -2012-03-23 03:00:00,4498.814938601071,78.69872389768233 -2012-03-23 04:00:00,4502.454611517412,78.79658848272783 -2012-03-23 05:00:00,4506.073191809317,78.81641584556905 -2012-03-23 06:00:00,4509.688180280388,78.49439855570171 -2012-03-23 07:00:00,4513.4882029461,77.91295317389589 -2012-03-23 08:00:00,4517.968619588836,77.0135545288428 -2012-03-23 09:00:00,4523.117390993392,75.90287013546357 -2012-03-23 10:00:00,4529.592627695365,74.28926224520887 -2012-03-23 11:00:00,4537.3376301736225,72.5488874406736 -2012-03-23 12:00:00,4552.862236230418,70.8515673377934 -2012-03-23 13:00:00,4565.872854421752,69.04763697895146 -2012-03-23 14:00:00,4576.927366069097,66.25322227459269 -2012-03-23 15:00:00,4586.183010827097,60.64617265933115 -2012-03-23 16:00:00,4593.98146458479,50.56732359014269 -2012-03-23 17:00:00,4600.99186266177,42.937492535334236 -2012-03-23 18:00:00,4607.62161142595,41.60027445893822 -2012-03-23 19:00:00,4613.711319596658,42.83168652675081 -2012-03-23 20:00:00,4619.706701548566,45.996949630024424 -2012-03-23 21:00:00,4625.745880476278,48.754388954666446 -2012-03-23 22:00:00,4632.024378286604,56.688233795643846 -2012-03-23 23:00:00,4638.738400069584,66.20381755896969 -2012-03-24 00:00:00,4645.47733831169,69.94778938544054 -2012-03-24 01:00:00,4651.8007315490595,71.49827683758662 -2012-03-24 02:00:00,4657.772732837076,72.25444801601661 -2012-03-24 03:00:00,4663.859590459313,72.22328448977191 -2012-03-24 04:00:00,4669.710751749429,72.3059270074453 -2012-03-24 05:00:00,4675.082211498241,72.44543001289759 -2012-03-24 06:00:00,4680.117753940381,72.58321782404788 -2012-03-24 07:00:00,4685.406883464359,73.01129015622439 -2012-03-24 08:00:00,4690.877754122187,73.68006606033371 -2012-03-24 09:00:00,4695.962000547852,73.99327813586864 -2012-03-24 10:00:00,4701.004146500367,74.44431278384401 -2012-03-24 11:00:00,4708.801202012194,75.96296043695708 -2012-03-24 12:00:00,4721.175360468967,80.03067348786864 -2012-03-24 13:00:00,4734.380110680398,88.11221895552623 -2012-03-24 14:00:00,4745.161610803681,97.1979836912365 -2012-03-24 15:00:00,4756.170626108681,102.59090392531186 -2012-03-24 16:00:00,4766.664733696286,113.34615918128912 -2012-03-24 17:00:00,4772.986821956119,119.4492919473229 -2012-03-24 18:00:00,4772.696258280222,123.56558297241142 -2012-03-24 19:00:00,4762.377913650407,126.71123947582102 -2012-03-24 20:00:00,4729.358902739896,127.69690149201931 -2012-03-24 21:00:00,4701.999287826017,127.71555372300017 -2012-03-24 22:00:00,4682.673324872534,127.72639132360617 -2012-03-24 23:00:00,4676.511167679392,127.69947229156652 -2012-03-25 00:00:00,4676.672122873826,127.64893819663891 -2012-03-25 01:00:00,4682.115385974464,127.59744494453962 -2012-03-25 02:00:00,4690.703728886408,127.55554017790116 -2012-03-25 03:00:00,4703.168440586947,127.53472500165654 -2012-03-25 04:00:00,4718.0784575450825,127.4911790717145 -2012-03-25 05:00:00,4735.133738870248,127.47497779922533 -2012-03-25 06:00:00,4748.433815596943,127.54618194391568 -2012-03-25 07:00:00,4758.838344465547,127.61966126098629 -2012-03-25 08:00:00,4766.394007839304,127.6820909287928 -2012-03-25 09:00:00,4774.293904608595,127.68144006331505 -2012-03-25 10:00:00,4780.576820703018,127.72864694088902 -2012-03-25 11:00:00,4786.720096315453,127.8377561484607 -2012-03-25 12:00:00,4787.263635222592,128.03394438720164 -2012-03-25 13:00:00,4790.595543633299,128.49322533996246 -2012-03-25 14:00:00,4795.061194742967,129.1391554563992 -2012-03-25 15:00:00,4799.613988421915,129.87802641948812 -2012-03-25 16:00:00,4800.931199164011,130.79515397410583 -2012-03-25 17:00:00,4802.098662622806,131.20421856255493 -2012-03-25 18:00:00,4804.201351958179,131.38914298846473 -2012-03-25 19:00:00,4806.1878144301345,131.6634213646276 -2012-03-25 20:00:00,4808.532349977417,131.81772054219758 -2012-03-25 21:00:00,4812.3201549490595,131.83275629221842 -2012-03-25 22:00:00,4815.957497793419,131.817057389593 -2012-03-25 23:00:00,4820.110747087648,131.7787807593397 -2012-03-26 00:00:00,4821.986295318834,131.74322523296613 -2012-03-26 01:00:00,4819.213017886714,131.71104029213654 -2012-03-26 02:00:00,4804.414716874811,131.66699681618596 -2012-03-26 03:00:00,4775.361936906628,131.6270128385224 -2012-03-26 04:00:00,4740.338400015511,131.55303475129338 -2012-03-26 05:00:00,4722.584285151981,131.49758438259718 -2012-03-26 06:00:00,4730.295260091694,131.4360874968031 -2012-03-26 07:00:00,4744.182771306841,131.37572345889646 -2012-03-26 08:00:00,4758.189664505745,131.31603842344805 -2012-03-26 09:00:00,4771.192731238555,131.25396313814116 -2012-03-26 10:00:00,4783.492396809501,131.18538728769713 -2012-03-26 11:00:00,4796.0829217938035,131.13447224432028 -2012-03-26 12:00:00,4809.283143141632,131.07727236114803 -2012-03-26 13:00:00,4822.70805607278,131.0159882284891 -2012-03-26 14:00:00,4831.118139332326,130.97028514401023 -2012-03-26 15:00:00,4833.657479187312,130.92125143080094 -2012-03-26 16:00:00,4819.902590161064,130.89173223530355 -2012-03-26 17:00:00,4786.192840249494,130.89326129590782 -2012-03-26 18:00:00,4753.162867819614,130.93387903498973 -2012-03-26 19:00:00,4710.715779773442,130.97775178721977 -2012-03-26 20:00:00,4643.200380865896,130.9791130101764 -2012-03-26 21:00:00,4567.737014017561,130.9550773593237 -2012-03-26 22:00:00,4497.511214038674,130.9344016389375 -2012-03-26 23:00:00,4450.03813380551,130.89230664815986 -2012-03-27 00:00:00,4420.499417228323,130.9378007190113 -2012-03-27 01:00:00,4388.305758889067,130.96636937433817 -2012-03-27 02:00:00,4350.806105033281,131.01336069877485 -2012-03-27 03:00:00,4312.500639928999,131.0588622558261 -2012-03-27 04:00:00,4266.469219567514,131.09818271755015 -2012-03-27 05:00:00,4209.46503526314,131.1468568633114 -2012-03-27 06:00:00,4170.675286411634,131.24544798697798 -2012-03-27 07:00:00,4146.491560165711,131.3059721721709 -2012-03-27 08:00:00,4132.80406898603,131.35504610990083 -2012-03-27 09:00:00,4125.621506903879,131.48001505034716 -2012-03-27 10:00:00,4124.75632970745,131.92842018389914 -2012-03-27 11:00:00,4130.118801529456,133.28513486673833 -2012-03-27 12:00:00,4142.492144143592,135.09370291449994 -2012-03-27 13:00:00,4150.965766110146,138.8050487791247 -2012-03-27 14:00:00,4155.099314942064,154.4791989713799 -2012-03-27 15:00:00,4158.178379259678,179.11746449813947 -2012-03-27 16:00:00,4159.93604211001,204.42343998515005 -2012-03-27 17:00:00,4162.019192696112,218.26086230570587 -2012-03-27 18:00:00,4163.381656161111,228.5947731457034 -2012-03-27 19:00:00,4164.763063771325,240.3662788554061 -2012-03-27 20:00:00,4166.7062766223735,251.16126628001388 -2012-03-27 21:00:00,4168.850932635209,257.820267923037 -2012-03-27 22:00:00,4170.858653246823,262.51270794446884 -2012-03-27 23:00:00,4172.948223433706,266.261150509854 -2012-03-28 00:00:00,4170.5164843401035,269.3049069281744 -2012-03-28 01:00:00,4167.371062784279,271.90807274868484 -2012-03-28 02:00:00,4164.105057704547,274.2588096277456 -2012-03-28 03:00:00,4161.106853559043,276.7351931470914 -2012-03-28 04:00:00,4158.34585202563,280.3330057047797 -2012-03-28 05:00:00,4155.053417009244,283.63795810616784 -2012-03-28 06:00:00,4152.697446782978,286.9626636078733 -2012-03-28 07:00:00,4150.178725835369,290.3833757589821 -2012-03-28 08:00:00,4147.418471095558,293.7148831355235 -2012-03-28 09:00:00,4144.433878014815,296.1583372433581 -2012-03-28 10:00:00,4141.971816048115,298.7007539767459 -2012-03-28 11:00:00,4140.047993166974,300.75534011729576 -2012-03-28 12:00:00,4144.10494121326,302.1333832646932 -2012-03-28 13:00:00,4143.285048336276,302.8828891043964 -2012-03-28 14:00:00,4140.150443614484,303.5322483448278 -2012-03-28 15:00:00,4136.6925837775725,303.98424551260285 -2012-03-28 16:00:00,4132.547450575779,304.28169846980705 -2012-03-28 17:00:00,4127.420453475011,304.4267193871535 -2012-03-28 18:00:00,4123.215690458166,304.4907321860489 -2012-03-28 19:00:00,4118.194543008345,304.55006773338056 -2012-03-28 20:00:00,4112.969566863288,304.6179286632379 -2012-03-28 21:00:00,4107.865407712881,304.67568698547404 -2012-03-28 22:00:00,4102.924993645949,304.7689952759727 -2012-03-28 23:00:00,4098.3459100476275,304.8475733580012 -2012-03-29 00:00:00,4096.15384499428,304.9341017504453 -2012-03-29 01:00:00,4093.6366608968315,305.126114397458 -2012-03-29 02:00:00,4090.9210566144425,305.4766432843593 -2012-03-29 03:00:00,4088.186761990382,305.70347263136324 -2012-03-29 04:00:00,4085.594141362823,305.9547550896782 -2012-03-29 05:00:00,4082.9985191224405,306.2379320137819 -2012-03-29 06:00:00,4080.4477016480973,306.4394996600712 -2012-03-29 07:00:00,4078.3645720535587,306.5573008515186 -2012-03-29 08:00:00,4077.1129641733137,306.67280291434395 -2012-03-29 09:00:00,4076.8113817767367,306.77927409798156 -2012-03-29 10:00:00,4076.775186578339,306.90656052156965 -2012-03-29 11:00:00,4076.3589945971635,307.0255907707095 -2012-03-29 12:00:00,4074.4613760547813,307.1594707786354 -2012-03-29 13:00:00,4071.9417283877706,307.27357660890806 -2012-03-29 14:00:00,4067.2577410373724,307.3790759169978 -2012-03-29 15:00:00,4062.578244912662,307.45575291566104 -2012-03-29 16:00:00,4057.9789195845365,307.5327251933711 -2012-03-29 17:00:00,4053.7238530499453,307.79871450669543 -2012-03-29 18:00:00,4050.838169039725,308.3482443716838 -2012-03-29 19:00:00,4047.8552978286743,309.00691862698864 -2012-03-29 20:00:00,4045.1382884666314,309.74962692680356 -2012-03-29 21:00:00,4042.8978445563325,310.6456667802912 -2012-03-29 22:00:00,4041.2745539507864,311.8829272297638 -2012-03-29 23:00:00,4039.5953590535214,313.45309957170576 -2012-03-30 00:00:00,4042.6136546248854,314.49028835161886 -2012-03-30 01:00:00,4045.313740356141,315.9743699557525 -2012-03-30 02:00:00,4047.3538666412474,317.66885975050786 -2012-03-30 03:00:00,4050.0607213803437,318.43890626058834 -2012-03-30 04:00:00,4053.0826554569558,319.3660857282091 -2012-03-30 05:00:00,4055.87783967835,320.1374304379494 -2012-03-30 06:00:00,4059.077013723797,321.4065074374848 -2012-03-30 07:00:00,4063.5308740222754,325.97452695391786 -2012-03-30 08:00:00,4068.620763716994,335.2798445708396 -2012-03-30 09:00:00,4071.8407781436326,342.7199825696006 -2012-03-30 10:00:00,4074.5088115804506,352.9084780104542 -2012-03-30 11:00:00,4076.1612089033465,361.83099386716736 -2012-03-30 12:00:00,4074.395390936666,366.82392922548377 -2012-03-30 13:00:00,4071.127087163623,370.53390265967437 -2012-03-30 14:00:00,4067.302983086339,373.7625687491503 -2012-03-30 15:00:00,4063.370227291346,376.49150046025585 -2012-03-30 16:00:00,4060.7417455363807,379.0437811518694 -2012-03-30 17:00:00,4059.0336119685467,381.6390813189959 -2012-03-30 18:00:00,4061.0348690326173,383.32889306902183 -2012-03-30 19:00:00,4065.8409691829456,385.95203315847846 -2012-03-30 20:00:00,4072.77605685581,389.05097009498814 -2012-03-30 21:00:00,4084.4594487388213,391.0654548237283 -2012-03-30 22:00:00,4109.993430794925,389.96891016181553 -2012-03-30 23:00:00,4157.128248492527,390.30014521358197 -2012-03-31 00:00:00,4190.763196481434,394.3117015357079 -2012-03-31 01:00:00,4218.5110664269605,401.3837801157908 -2012-03-31 02:00:00,4238.89621391982,413.01216889128403 -2012-03-31 03:00:00,4244.7082922826885,421.05696455197966 -2012-03-31 04:00:00,4249.2945859641095,432.4602597680284 -2012-03-31 05:00:00,4252.6525829901375,442.6138143298253 -2012-03-31 06:00:00,4256.200962329199,448.32855352791836 -2012-03-31 07:00:00,4263.364022545201,451.36743191492315 -2012-03-31 08:00:00,4274.108794064908,453.0567248549841 -2012-03-31 09:00:00,4284.151620414417,454.31478080152135 -2012-03-31 10:00:00,4294.464835171142,455.25332576047174 -2012-03-31 11:00:00,4298.074569169506,454.75122212710994 -2012-03-31 12:00:00,4293.000175328439,451.1923762219645 -2012-03-31 13:00:00,4286.4627298475,443.2946545344156 -2012-03-31 14:00:00,4284.298225535517,434.5823489975583 -2012-03-31 15:00:00,4286.985468060515,429.58696442080253 -2012-03-31 16:00:00,4295.807276223549,419.2055056057917 -2012-03-31 17:00:00,4309.675365608617,413.4244845014498 -2012-03-31 18:00:00,4347.323860258969,409.53763999487126 -2012-03-31 19:00:00,4465.3265414695215,406.6178090111294 -2012-03-31 20:00:00,4635.841352933217,405.89872975946406 -2012-03-31 21:00:00,4692.755418362269,406.0959150722435 -2012-03-31 22:00:00,4744.005291697863,406.3061498678674 -2012-03-31 23:00:00,4776.235617217169,406.56292309541857 -2012-04-01 00:00:00,4788.8937082913535,406.7973746370201 -2012-04-01 01:00:00,4790.102917146272,407.0474835259786 -2012-04-01 02:00:00,4784.656665008442,407.29554925046386 -2012-04-01 03:00:00,4777.472218807477,407.5224080173041 -2012-04-01 04:00:00,4770.295946092717,407.77680621967886 -2012-04-01 05:00:00,4763.924454702839,407.9980216631591 -2012-04-01 06:00:00,4763.057640125371,408.1454312837265 -2012-04-01 07:00:00,4764.021351561759,408.2948116862745 -2012-04-01 08:00:00,4766.491200700816,408.4639769620688 -2012-04-01 09:00:00,4768.583450847473,408.69944164601776 -2012-04-01 10:00:00,4773.035197499359,408.88540140768487 -2012-04-01 11:00:00,4778.3512761537595,409.0231266196272 -2012-04-01 12:00:00,4791.706654252609,409.0684530317408 -2012-04-01 13:00:00,4803.7310215612415,408.8495923850154 -2012-04-01 14:00:00,4813.8299014794575,408.4548497046443 -2012-04-01 15:00:00,4825.807170468873,407.9523672126618 -2012-04-01 16:00:00,4839.734190329066,407.2807173365602 -2012-04-01 17:00:00,4851.300810261518,407.11691116348135 -2012-04-01 18:00:00,4860.003476700855,407.17358438647346 -2012-04-01 19:00:00,4871.865108592127,407.1368900002893 -2012-04-01 20:00:00,4893.609002051652,407.22560715659597 -2012-04-01 21:00:00,4928.362794439644,407.4469496978478 -2012-04-01 22:00:00,4982.294030290974,407.7065611127054 -2012-04-01 23:00:00,5053.912701955693,407.99485023362513 -2012-04-02 00:00:00,5109.17628705819,408.06960319010295 -2012-04-02 01:00:00,5188.442736664417,408.1451352253403 -2012-04-02 02:00:00,5263.506339208016,408.2325480798927 -2012-04-02 03:00:00,5325.317359899969,408.3274414779228 -2012-04-02 04:00:00,5374.108854624945,408.44036492589197 -2012-04-02 05:00:00,5399.564173653752,408.52920054737496 -2012-04-02 06:00:00,5405.425952384771,408.6323841444402 -2012-04-02 07:00:00,5406.966516656843,408.7376572880043 -2012-04-02 08:00:00,5407.643589897923,408.842714005595 -2012-04-02 09:00:00,5406.079793729162,408.94811310910677 -2012-04-02 10:00:00,5401.615453650442,409.0669722483402 -2012-04-02 11:00:00,5395.849532514028,409.17014718253006 -2012-04-02 12:00:00,5381.003209650244,409.2775991884018 -2012-04-02 13:00:00,5366.418402796647,409.3867409540506 -2012-04-02 14:00:00,5354.262363345362,409.48766674980055 -2012-04-02 15:00:00,5343.26009750846,409.58758254388266 -2012-04-02 16:00:00,5334.346545148841,409.6647852442759 -2012-04-02 17:00:00,5329.169972701096,409.72192384277054 -2012-04-02 18:00:00,5326.284314436047,409.7328717817012 -2012-04-02 19:00:00,5325.155879053959,409.7383962493531 -2012-04-02 20:00:00,5326.0952544383845,409.79183273105895 -2012-04-02 21:00:00,5329.094982458929,409.86039745576585 -2012-04-02 22:00:00,5333.538023369021,409.92866458660023 -2012-04-02 23:00:00,5334.981649964661,410.02934291642356 -2012-04-03 00:00:00,5334.983496010367,410.03187538730134 -2012-04-03 01:00:00,5337.80828522819,410.0502250867947 -2012-04-03 02:00:00,5340.434623996255,410.056567895578 -2012-04-03 03:00:00,5341.080835061694,410.0574832434625 -2012-04-03 04:00:00,5341.6623683577245,410.0685013523275 -2012-04-03 05:00:00,5343.588784722899,410.0763547158426 -2012-04-03 06:00:00,5345.567869283583,410.0292403302839 -2012-04-03 07:00:00,5345.898645103582,410.0152570177022 -2012-04-03 08:00:00,5343.564900793891,410.01576671161047 -2012-04-03 09:00:00,5339.615877669605,409.9391079427772 -2012-04-03 10:00:00,5334.195326753081,409.5399222773198 -2012-04-03 11:00:00,5327.463062225149,408.23827237761407 -2012-04-03 12:00:00,5316.075811367947,406.48219981384204 -2012-04-03 13:00:00,5307.890378884616,402.82443383579795 -2012-04-03 14:00:00,5304.642138327102,387.2055434020128 -2012-04-03 15:00:00,5300.735446905296,362.6252125191973 -2012-04-03 16:00:00,5297.817301709066,337.3735670542442 -2012-04-03 17:00:00,5295.373693420437,323.5853237216159 -2012-04-03 18:00:00,5293.099821699484,313.3043208399497 -2012-04-03 19:00:00,5291.169996555308,301.5798901341661 -2012-04-03 20:00:00,5289.36574109847,290.8292701572645 -2012-04-03 21:00:00,5287.805867777952,284.2193934293446 -2012-04-03 22:00:00,5286.864734440579,279.5741701941049 -2012-04-03 23:00:00,5287.5522149234375,275.88240869904513 -2012-04-04 00:00:00,5293.81535772111,272.8840814611545 -2012-04-04 01:00:00,5300.359153421095,270.3263588049702 -2012-04-04 02:00:00,5305.262334731668,268.0208441022618 -2012-04-04 03:00:00,5308.897173151518,265.5853471897669 -2012-04-04 04:00:00,5311.241087615357,262.03157204719525 -2012-04-04 05:00:00,5313.877367659441,258.78155282647896 -2012-04-04 06:00:00,5316.03614244012,255.4998061605241 -2012-04-04 07:00:00,5318.452752118954,252.12339366237023 -2012-04-04 08:00:00,5320.8999173448665,248.83952834122093 -2012-04-04 09:00:00,5323.095007156871,246.44471483303317 -2012-04-04 10:00:00,5323.437368910352,243.9597346750403 -2012-04-04 11:00:00,5321.908660207836,241.94929839192815 -2012-04-04 12:00:00,5312.280611331147,240.6234067679004 -2012-04-04 13:00:00,5308.5995987781625,239.92753638929102 -2012-04-04 14:00:00,5308.315400662332,239.32224970800792 -2012-04-04 15:00:00,5308.971232830405,238.93629035817932 -2012-04-04 16:00:00,5310.440394641135,238.68240630056792 -2012-04-04 17:00:00,5312.55246368669,238.5761218324161 -2012-04-04 18:00:00,5313.725935211136,238.54050565703832 -2012-04-04 19:00:00,5315.774830571154,238.52462107677164 -2012-04-04 20:00:00,5318.151801575369,238.49816375634543 -2012-04-04 21:00:00,5320.373931584026,238.4789422694828 -2012-04-04 22:00:00,5322.420016096086,238.4396570179732 -2012-04-04 23:00:00,5324.317331941355,238.39727218706312 -2012-04-05 00:00:00,5325.837187939393,238.31145705135557 -2012-04-05 01:00:00,5327.813509122572,238.14528079779097 -2012-04-05 02:00:00,5329.933562565951,237.85558726766527 -2012-04-05 03:00:00,5331.981157866945,237.70977121013928 -2012-04-05 04:00:00,5333.87646684835,237.51541114914852 -2012-04-05 05:00:00,5335.604711904379,237.3061224176446 -2012-04-05 06:00:00,5337.157850240343,237.15713223646347 -2012-04-05 07:00:00,5338.060011882762,237.08728728777297 -2012-04-05 08:00:00,5337.926900775719,237.01965595697504 -2012-04-05 09:00:00,5336.509108376445,236.9576549830019 -2012-04-05 10:00:00,5333.549428971503,236.87996072145805 -2012-04-05 11:00:00,5329.434219962187,236.8069767322515 -2012-04-05 12:00:00,5319.928481697332,236.76771278170256 -2012-04-05 13:00:00,5312.849494502272,236.69657624056796 -2012-04-05 14:00:00,5309.725447332901,236.64441990544682 -2012-04-05 15:00:00,5307.494918969607,236.6390426782165 -2012-04-05 16:00:00,5306.189235961978,236.57540720407428 -2012-04-05 17:00:00,5305.376452897795,236.31427677779317 -2012-04-05 18:00:00,5303.922176324313,235.94828215812112 -2012-04-05 19:00:00,5302.843730284089,235.4531944532373 -2012-04-05 20:00:00,5302.086936837152,234.8564399039688 -2012-04-05 21:00:00,5301.167361455751,234.09338096820377 -2012-04-05 22:00:00,5299.790044494975,232.94410444501372 -2012-04-05 23:00:00,5298.510744342897,231.42194428447786 -2012-04-06 00:00:00,5294.060588990437,230.4175869902278 -2012-04-06 01:00:00,5289.712521239692,228.9277011509389 -2012-04-06 02:00:00,5285.962292044577,227.07566463202562 -2012-04-06 03:00:00,5281.453949821615,226.20991449187488 -2012-04-06 04:00:00,5276.609806223537,224.99559156213024 -2012-04-06 05:00:00,5271.959342326691,223.97316639598955 -2012-04-06 06:00:00,5266.816606016221,222.41095367239654 -2012-04-06 07:00:00,5260.188392980295,217.55741143855283 -2012-04-06 08:00:00,5252.190618677616,208.00597281689474 -2012-04-06 09:00:00,5245.323890225612,200.63063369573086 -2012-04-06 10:00:00,5237.661744672734,190.523175728812 -2012-04-06 11:00:00,5229.687873219,181.67573889267265 -2012-04-06 12:00:00,5215.9036645806655,176.73147054395733 -2012-04-06 13:00:00,5205.917427818061,172.77037547764553 -2012-04-06 14:00:00,5199.0755817380905,169.11579886636844 -2012-04-06 15:00:00,5194.219050653638,166.26528786971144 -2012-04-06 16:00:00,5189.721924385877,164.6823728624862 -2012-04-06 17:00:00,5185.3792803642355,165.34248894517512 -2012-04-06 18:00:00,5178.484359665758,164.88205812868316 -2012-04-06 19:00:00,5169.236727479469,166.742369173858 -2012-04-06 20:00:00,5157.877907457709,165.7335821694599 -2012-04-06 21:00:00,5141.613087890178,161.97975042843026 -2012-04-06 22:00:00,5111.195244987545,158.91612112703726 -2012-04-06 23:00:00,5058.613220304226,151.2301979747976 -2012-04-07 00:00:00,5019.030510624612,143.95089864412836 -2012-04-07 01:00:00,4985.920678677368,135.48421654437308 -2012-04-07 02:00:00,4960.725925088996,123.22649032873122 -2012-04-07 03:00:00,4950.000485767439,115.1486737056859 -2012-04-07 04:00:00,4940.7332876598975,103.54202922659792 -2012-04-07 05:00:00,4933.262890753128,93.03499549544762 -2012-04-07 06:00:00,4925.7711814966915,87.06783383526582 -2012-04-07 07:00:00,4914.203590679745,83.66292588846625 -2012-04-07 08:00:00,4898.109353416481,81.73504875287018 -2012-04-07 09:00:00,4881.709287652054,80.596072286254 -2012-04-07 10:00:00,4862.746655920391,80.13762021683753 -2012-04-07 11:00:00,4846.478183649598,80.16756064479293 -2012-04-07 12:00:00,4831.171547252796,79.98545797329531 -2012-04-07 13:00:00,4816.855134932597,79.67512711234433 -2012-04-07 14:00:00,4803.141778537757,79.19703682400522 -2012-04-07 15:00:00,4783.718530187256,78.79052688129828 -2012-04-07 16:00:00,4757.673611828554,78.4690972688599 -2012-04-07 17:00:00,4727.894797325223,78.27854468714254 -2012-04-07 18:00:00,4677.328527160606,78.22414509435055 -2012-04-07 19:00:00,4548.5491230674825,78.24126778454004 -2012-04-07 20:00:00,4367.519843921616,78.20413204606709 -2012-04-07 21:00:00,4300.325991537224,78.15720621403703 -2012-04-07 22:00:00,4238.088871243271,78.07812054156565 -2012-04-07 23:00:00,4193.903824235473,77.96022870550333 -2012-04-08 00:00:00,4169.20774363443,77.83621167599607 -2012-04-08 01:00:00,4155.5701883510565,77.7155940743525 -2012-04-08 02:00:00,4145.814928034447,77.60735866041304 -2012-04-08 03:00:00,4135.434946864303,77.49000104743165 -2012-04-08 04:00:00,4123.72401960674,77.36942403714349 -2012-04-08 05:00:00,4111.598013873883,77.25100025465328 -2012-04-08 06:00:00,4099.768015846243,77.1028516797356 -2012-04-08 07:00:00,4088.6649365926205,76.93270913893654 -2012-04-08 08:00:00,4075.819128802921,76.74587432503732 -2012-04-08 09:00:00,4061.9124479635734,76.55950616963526 -2012-04-08 10:00:00,4045.5456382464176,76.358191940117 -2012-04-08 11:00:00,4026.555819359288,76.15684791823094 -2012-04-08 12:00:00,3997.185983436924,75.9491535848909 -2012-04-08 13:00:00,3968.440864401616,75.75112050956058 -2012-04-08 14:00:00,3943.8240598916573,75.57408767694852 -2012-04-08 15:00:00,3918.3846060897617,75.40794836044554 -2012-04-08 16:00:00,3891.0880777673988,75.29006256874419 -2012-04-08 17:00:00,3866.558380397359,75.18751876099805 -2012-04-08 18:00:00,3845.338590756941,75.04150539226421 -2012-04-08 19:00:00,3821.2808433361865,74.90116195219262 -2012-04-08 20:00:00,3787.4704793341,74.76344447052854 -2012-04-08 21:00:00,3740.576721004208,74.66730702279891 -2012-04-08 22:00:00,3674.4031761368624,74.64443656800928 -2012-04-08 23:00:00,3590.5450623457336,74.63894930406595 -2012-04-09 00:00:00,3525.266116290113,74.70748723823851 -2012-04-09 01:00:00,3435.491714988005,74.74991214219186 -2012-04-09 02:00:00,3349.3075653340425,74.80973766562195 -2012-04-09 03:00:00,3276.010023557938,74.9040007456705 -2012-04-09 04:00:00,3215.651200703526,75.03361076517123 -2012-04-09 05:00:00,3177.7228639075156,75.20664647280437 -2012-04-09 06:00:00,3158.8658283229975,75.31384538760346 -2012-04-09 07:00:00,3143.111418623399,75.44442465263907 -2012-04-09 08:00:00,3127.2797131889583,75.54438331001467 -2012-04-09 09:00:00,3113.254106076124,75.5938733927436 -2012-04-09 10:00:00,3101.4621866067396,75.64275943977547 -2012-04-09 11:00:00,3090.1497368406926,75.68017857322332 -2012-04-09 12:00:00,3079.6091925198584,75.70471915137134 -2012-04-09 13:00:00,3068.9834216850095,75.76649760507395 -2012-04-09 14:00:00,3058.7189336015913,75.83363769305006 -2012-04-09 15:00:00,3047.3314349493876,75.83664196941258 -2012-04-09 16:00:00,3035.8157379796503,75.84201475699552 -2012-04-09 17:00:00,3023.5495802271844,75.82361919751148 -2012-04-09 18:00:00,3010.355456149921,75.78833453420704 -2012-04-09 19:00:00,2995.874349952292,75.75805586437535 -2012-04-09 20:00:00,2979.247907341661,75.7274432013812 -2012-04-09 21:00:00,2960.407836298758,75.69073101015283 -2012-04-09 22:00:00,2940.080139423416,75.66043047982156 -2012-04-09 23:00:00,2923.112192274445,75.61627150193196 -2012-04-10 00:00:00,2910.5360793815616,75.5835482081339 -2012-04-10 01:00:00,2895.308385064843,75.55074538311777 -2012-04-10 02:00:00,2880.3574283084104,75.52244349443666 -2012-04-10 03:00:00,2867.3099482192692,75.47655021631823 -2012-04-10 04:00:00,2854.2366088112194,75.44779922847793 -2012-04-10 05:00:00,2839.7303060799295,75.40423596521477 -2012-04-10 06:00:00,2824.6632107395462,75.36233238556187 -2012-04-10 07:00:00,2810.16155517773,75.32277798138263 -2012-04-10 08:00:00,2796.803989819357,75.28488039915219 -2012-04-10 09:00:00,2783.299552431454,75.24254366867733 -2012-04-10 10:00:00,2769.2594650766155,75.20997833438088 -2012-04-10 11:00:00,2754.9088690585786,75.17176580146683 -2012-04-10 12:00:00,2740.0244791368705,75.13173511498387 -2012-04-10 13:00:00,2724.814195574778,75.09124143667883 -2012-04-10 14:00:00,2710.06129711316,75.04694018874152 -2012-04-10 15:00:00,2699.1619415433943,75.00497248528866 -2012-04-10 16:00:00,2697.5288576360185,74.96538876323794 -2012-04-10 17:00:00,2700.6019143342855,74.92211554457937 -2012-04-10 18:00:00,2700.170257717602,74.8802800154826 -2012-04-10 19:00:00,2699.3696393292125,74.83844372793425 -2012-04-10 20:00:00,2708.276125712863,74.79484508662357 -2012-04-10 21:00:00,2727.194371810066,74.7491045235763 -2012-04-10 22:00:00,2756.6790535657237,74.71494932362243 -2012-04-10 23:00:00,2791.3960447701406,74.67656921443022 -2012-04-11 00:00:00,2815.989095333019,74.64184301077633 -2012-04-11 01:00:00,2837.4786424883796,74.60653063374083 -2012-04-11 02:00:00,2854.5354354957585,74.5679938183681 -2012-04-11 03:00:00,2860.2381925519003,74.52913120732886 -2012-04-11 04:00:00,2861.034342053892,74.495527055638 -2012-04-11 05:00:00,2854.7104892979833,74.45286211793285 -2012-04-11 06:00:00,2848.2849764238194,74.41320727765144 -2012-04-11 07:00:00,2850.5281514989524,74.37340137437941 -2012-04-11 08:00:00,2854.863639049607,74.33880337048907 -2012-04-11 09:00:00,2852.3025655803062,74.30258900854102 -2012-04-11 10:00:00,2850.0829556412837,74.27640277128874 -2012-04-11 11:00:00,2845.201279883849,74.23866943752405 -2012-04-11 12:00:00,2841.636328767529,74.20330796592658 -2012-04-11 13:00:00,2836.303495299532,74.16815831659895 -2012-04-11 14:00:00,2830.8627581886994,74.12860604768578 -2012-04-11 15:00:00,2824.5248539308195,74.09097504805781 -2012-04-11 16:00:00,2817.5237742290633,74.05093338045316 -2012-04-11 17:00:00,2810.303791428874,74.02427462705006 -2012-04-11 18:00:00,2802.2127963844105,73.99981175007571 -2012-04-11 19:00:00,2794.0071700365675,73.9685487199822 -2012-04-11 20:00:00,2785.66709656948,73.93973312106962 -2012-04-11 21:00:00,2776.591126540623,73.91559906131545 -2012-04-11 22:00:00,2767.2835913351796,73.89714229364671 -2012-04-11 23:00:00,2758.2100706873716,73.86553394778227 -2012-04-12 00:00:00,2750.3924920297327,73.81691688836403 -2012-04-12 01:00:00,2742.0569290650847,73.74905872428214 -2012-04-12 02:00:00,2733.378772131037,73.65639286301018 -2012-04-12 03:00:00,2724.783123242347,73.56980529016685 -2012-04-12 04:00:00,2715.972720152663,73.49318810248552 -2012-04-12 05:00:00,2706.9256819763536,73.39886984953176 -2012-04-12 06:00:00,2697.756242300234,73.33157637601683 -2012-04-12 07:00:00,2688.8456382232807,73.2690271701102 -2012-04-12 08:00:00,2680.201721848747,73.20718607331209 -2012-04-12 09:00:00,2672.052637369209,73.15255464007534 -2012-04-12 10:00:00,2664.912343173246,73.08173313663782 -2012-04-12 11:00:00,2658.5808746661596,73.03974362615014 -2012-04-12 12:00:00,2654.150331182463,72.93193626377871 -2012-04-12 13:00:00,2649.3531411277886,72.86599704623781 -2012-04-12 14:00:00,2643.650443331216,72.79077496963 -2012-04-12 15:00:00,2637.9623340856915,72.66517426872913 -2012-04-12 16:00:00,2632.477941077991,72.5252989350564 -2012-04-12 17:00:00,2626.3899322019333,72.39945991784481 -2012-04-12 18:00:00,2619.783571829633,72.14070816101217 -2012-04-12 19:00:00,2611.6171860506247,71.91620473461457 -2012-04-12 20:00:00,2602.669380791129,71.73518230159145 -2012-04-12 21:00:00,2593.601595391476,71.5800660735703 -2012-04-12 22:00:00,2584.667830792049,71.44785670869335 -2012-04-12 23:00:00,2575.886734513642,71.35254085177013 -2012-04-13 00:00:00,2568.4406961151776,71.29348682611574 -2012-04-13 01:00:00,2561.1385883041135,71.23785557426604 -2012-04-13 02:00:00,2553.860548120704,71.18737835866048 -2012-04-13 03:00:00,2546.5796931358936,71.13556139594534 -2012-04-13 04:00:00,2539.2993531934803,71.09385498024483 -2012-04-13 05:00:00,2531.991215889496,71.01382792380048 -2012-04-13 06:00:00,2524.775382588004,70.91121469624841 -2012-04-13 07:00:00,2517.6335510699387,70.81111904475706 -2012-04-13 08:00:00,2510.5608741562173,70.7120009898884 -2012-04-13 09:00:00,2503.5773254827745,70.62896257178998 -2012-04-13 10:00:00,2496.618310407218,70.54569215476849 -2012-04-13 11:00:00,2489.6217235606764,70.4549523340053 -2012-04-13 12:00:00,2482.467703932041,70.01360400138142 -2012-04-13 13:00:00,2475.3792813042883,69.74229867514333 -2012-04-13 14:00:00,2468.4343556479043,69.41200775576583 -2012-04-13 15:00:00,2461.4968970654063,68.83210434757173 -2012-04-13 16:00:00,2454.6787677536313,66.65636051521204 -2012-04-13 17:00:00,2447.8794809319274,62.07257151987536 -2012-04-13 18:00:00,2440.997556399011,58.66622823034522 -2012-04-13 19:00:00,2434.1676261621833,50.72931474132454 -2012-04-13 20:00:00,2427.3800934668993,43.89390559861996 -2012-04-13 21:00:00,2420.6621934856416,41.82846495522918 -2012-04-13 22:00:00,2414.1152317875126,37.20412343804785 -2012-04-13 23:00:00,2407.6924064078503,34.213088686129055 -2012-04-14 00:00:00,2402.0011455179015,33.39035690465906 -2012-04-14 01:00:00,2396.383133225366,33.103819163827076 -2012-04-14 02:00:00,2390.8233128703237,33.03507411758793 -2012-04-14 03:00:00,2385.2986073350544,33.171946431654895 -2012-04-14 04:00:00,2379.791332510401,33.49307581502356 -2012-04-14 05:00:00,2374.22660407146,34.10767555175312 -2012-04-14 06:00:00,2368.7488471991674,35.222001439071136 -2012-04-14 07:00:00,2363.3247402453503,36.19618907506817 -2012-04-14 08:00:00,2357.9524482600195,36.17306999609675 -2012-04-14 09:00:00,2352.6411329386433,35.75931152405921 -2012-04-14 10:00:00,2347.2770999863246,34.768464334209106 -2012-04-14 11:00:00,2341.830221422587,33.59636644459446 -2012-04-14 12:00:00,2336.165906322721,33.12439277092993 -2012-04-14 13:00:00,2330.4711455439087,32.84912322811932 -2012-04-14 14:00:00,2324.9921675592104,32.63449925937494 -2012-04-14 15:00:00,2319.5771936865694,32.535402469228224 -2012-04-14 16:00:00,2314.4575643808553,32.564500820611116 -2012-04-14 17:00:00,2309.3002571867673,33.07496871663903 -2012-04-14 18:00:00,2304.086027221453,33.31366646487068 -2012-04-14 19:00:00,2298.934996982593,33.272297465121476 -2012-04-14 20:00:00,2293.8019000828167,33.3590398845423 -2012-04-14 21:00:00,2288.6790415265646,33.25385069153222 -2012-04-14 22:00:00,2283.653929493838,33.230248670395014 -2012-04-14 23:00:00,2278.5730275830238,33.14668918226078 -2012-04-15 00:00:00,2273.8734628004736,33.0573969435713 -2012-04-15 01:00:00,2269.226758968885,32.93817330863556 -2012-04-15 02:00:00,2264.618027278472,32.79917103537719 -2012-04-15 03:00:00,2260.024667888134,32.67429710610116 -2012-04-15 04:00:00,2255.4753883892076,32.53978144038303 -2012-04-15 05:00:00,2250.880238426223,32.40812114218066 -2012-04-15 06:00:00,2246.3128606975556,32.29324246569438 -2012-04-15 07:00:00,2241.763461111536,32.195425666975915 -2012-04-15 08:00:00,2237.25944055111,32.11040330414547 -2012-04-15 09:00:00,2232.773632721288,32.02213250336529 -2012-04-15 10:00:00,2228.267842985091,31.938915561406507 -2012-04-15 11:00:00,2223.613729632368,31.867483211288604 -2012-04-15 12:00:00,2218.48114443893,31.793569826139418 -2012-04-15 13:00:00,2212.5510700685945,31.712583771470555 -2012-04-15 14:00:00,2206.778682374913,31.614286332828932 -2012-04-15 15:00:00,2201.086335242636,31.517269746352017 -2012-04-15 16:00:00,2196.0700507810807,31.388964658335166 -2012-04-15 17:00:00,2191.328975414331,31.229189163391183 -2012-04-15 18:00:00,2186.4366610624456,31.122328494171327 -2012-04-15 19:00:00,2181.72183651017,31.01514822807758 -2012-04-15 20:00:00,2177.1457701378845,30.90141465451951 -2012-04-15 21:00:00,2172.72475179132,30.731932769939124 -2012-04-15 22:00:00,2168.3847483934983,30.490061916995405 -2012-04-15 23:00:00,2164.0418767174683,30.241602169046775 -2012-04-16 00:00:00,2160.0642241301216,30.116701820100364 -2012-04-16 01:00:00,2156.1086713167333,30.016687882864215 -2012-04-16 02:00:00,2152.1530301515945,29.895327264235153 -2012-04-16 03:00:00,2148.265997193984,29.727535450717337 -2012-04-16 04:00:00,2144.3743978463476,29.517255423003167 -2012-04-16 05:00:00,2140.457393404793,29.262433423218663 -2012-04-16 06:00:00,2136.5680291109393,29.081461808180794 -2012-04-16 07:00:00,2132.696156110641,28.876960190203736 -2012-04-16 08:00:00,2128.848770931622,28.700173767186158 -2012-04-16 09:00:00,2124.9268449040765,28.574385184608797 -2012-04-16 10:00:00,2120.7328858158126,28.436882321580157 -2012-04-16 11:00:00,2116.2975300697203,28.313877342884485 -2012-04-16 12:00:00,2110.949464079524,28.248154570199297 -2012-04-16 13:00:00,2106.1868080847116,28.15366123920899 -2012-04-16 14:00:00,2102.447671720079,28.046238835978066 -2012-04-16 15:00:00,2099.359995993423,28.00387430564109 -2012-04-16 16:00:00,2096.3802410311173,27.953383907414327 -2012-04-16 17:00:00,2093.344470019434,27.899075066833777 -2012-04-16 18:00:00,2090.68640968505,27.911302807954577 -2012-04-16 19:00:00,2087.588337843454,27.955205043332146 -2012-04-16 20:00:00,2084.2482077460804,27.98631320331802 -2012-04-16 21:00:00,2080.7619481951124,27.965661701903553 -2012-04-16 22:00:00,2077.2100981498947,27.944962543270538 -2012-04-16 23:00:00,2073.6567254200336,27.93554634907677 -2012-04-17 00:00:00,2069.3014114332746,27.9608384645061 -2012-04-17 01:00:00,2064.8996438741606,28.020682592417867 -2012-04-17 02:00:00,2060.442288992236,28.058438592260227 -2012-04-17 03:00:00,2056.0183985810168,28.060832755709715 -2012-04-17 04:00:00,2051.5609355966562,28.092162415918693 -2012-04-17 05:00:00,2047.1280083304794,28.137653267922506 -2012-04-17 06:00:00,2042.7346349265927,28.147495380111238 -2012-04-17 07:00:00,2038.3858980183247,28.13468586797116 -2012-04-17 08:00:00,2034.1693452790569,28.11001292891256 -2012-04-17 09:00:00,2030.137199963911,28.07822257702324 -2012-04-17 10:00:00,2026.288012485759,28.057952000810058 -2012-04-17 11:00:00,2022.3050049005597,28.055436537152275 -2012-04-17 12:00:00,2017.5092095671323,28.134483573673048 -2012-04-17 13:00:00,2012.6970347512108,28.294855715622116 -2012-04-17 14:00:00,2007.732517121241,28.5811932558716 -2012-04-17 15:00:00,1999.8158923886872,29.083995804258578 -2012-04-17 16:00:00,1982.9843343200437,29.62108399333098 -2012-04-17 17:00:00,1961.4507677808974,29.99082848759498 -2012-04-17 18:00:00,1943.8438441342432,30.233232548149047 -2012-04-17 19:00:00,1926.4201923091255,30.4886652498303 -2012-04-17 20:00:00,1899.0479586450153,30.710532930537752 -2012-04-17 21:00:00,1861.274623175453,30.814946778111022 -2012-04-17 22:00:00,1812.2680157346877,30.889822759850716 -2012-04-17 23:00:00,1756.3532455977747,30.931434516086476 -2012-04-18 00:00:00,1713.254165638434,30.973507414738727 -2012-04-18 01:00:00,1672.9241990010576,31.011742027826767 -2012-04-18 02:00:00,1637.9446041491683,31.054977039790998 -2012-04-18 03:00:00,1615.1197971767049,31.11910916573327 -2012-04-18 04:00:00,1598.191801326081,31.16972405735677 -2012-04-18 05:00:00,1588.4229875821904,31.205509646634688 -2012-04-18 06:00:00,1578.705782023804,31.2361134301338 -2012-04-18 07:00:00,1560.3022624343348,31.27827352549682 -2012-04-18 08:00:00,1539.7833107089327,31.330532376749307 -2012-04-18 09:00:00,1526.1753170327129,31.394356634278424 -2012-04-18 10:00:00,1512.2343204133722,31.46233873596076 -2012-04-18 11:00:00,1500.882530995628,31.541159077553626 -2012-04-18 12:00:00,1488.0109426380948,31.787197347801577 -2012-04-18 13:00:00,1476.3960970507485,32.03904827508915 -2012-04-18 14:00:00,1464.8637379873394,32.27657097139803 -2012-04-18 15:00:00,1454.0251226671026,32.484041024889635 -2012-04-18 16:00:00,1444.0716896733898,32.63299347187829 -2012-04-18 17:00:00,1434.6378101613627,32.73217779673563 -2012-04-18 18:00:00,1426.2414144999757,32.706960641444994 -2012-04-18 19:00:00,1418.1128998781955,32.67401250311993 -2012-04-18 20:00:00,1410.2550009377806,32.63321286184706 -2012-04-18 21:00:00,1403.0342531502881,32.59064225569405 -2012-04-18 22:00:00,1396.0425348083613,32.54352143194775 -2012-04-18 23:00:00,1388.7899676746006,32.50098986821461 -2012-04-19 00:00:00,1382.543317167958,32.479795573212385 -2012-04-19 01:00:00,1376.7754966940843,32.45707291215717 -2012-04-19 02:00:00,1371.334205097377,32.44205329278321 -2012-04-19 03:00:00,1365.733756150965,32.41802322948026 -2012-04-19 04:00:00,1360.344797730791,32.39284256612226 -2012-04-19 05:00:00,1355.2153103983326,32.39672412256624 -2012-04-19 06:00:00,1350.1823801838345,32.38785052184981 -2012-04-19 07:00:00,1344.9426181387166,32.380091858116046 -2012-04-19 08:00:00,1339.5344171983918,32.36864508699412 -2012-04-19 09:00:00,1333.6953522017475,32.36572826602772 -2012-04-19 10:00:00,1327.005611982354,32.36737987062461 -2012-04-19 11:00:00,1319.5575317407995,32.35831768838383 -2012-04-19 12:00:00,1309.9827910665304,32.35006113478186 -2012-04-19 13:00:00,1300.2844195411294,32.34386831384474 -2012-04-19 14:00:00,1291.5778034822151,32.334365871737184 -2012-04-19 15:00:00,1283.3470896938177,32.33183310959907 -2012-04-19 16:00:00,1275.0339937723495,32.32153793643576 -2012-04-19 17:00:00,1267.314090227865,32.31087366764494 -2012-04-19 18:00:00,1260.018404098317,32.30370916090259 -2012-04-19 19:00:00,1254.2213798751795,32.29351629522578 -2012-04-19 20:00:00,1249.0818117649085,32.28281509284391 -2012-04-19 21:00:00,1244.1364206778642,32.26472411379167 -2012-04-19 22:00:00,1239.1515495394974,32.25222338929845 -2012-04-19 23:00:00,1234.1820276882056,32.25345079855779 -2012-04-20 00:00:00,1229.623253345258,32.254210576277345 -2012-04-20 01:00:00,1225.000576904509,32.25944051282908 -2012-04-20 02:00:00,1220.349932973235,32.288291323207794 -2012-04-20 03:00:00,1215.6946381171656,32.32405976396734 -2012-04-20 04:00:00,1211.0425529095578,32.35105494365919 -2012-04-20 05:00:00,1206.3446289246328,32.441762364300956 -2012-04-20 06:00:00,1201.632395556974,32.54780599287828 -2012-04-20 07:00:00,1196.8787989634523,32.63601079024594 -2012-04-20 08:00:00,1192.077549363042,32.683750552969826 -2012-04-20 09:00:00,1187.2642248944098,32.69586945742581 -2012-04-20 10:00:00,1182.4133516073466,32.69943158116612 -2012-04-20 11:00:00,1177.5345733606298,32.70512747919163 -2012-04-20 12:00:00,1172.5975197040789,32.703656753173895 -2012-04-20 13:00:00,1167.6048039111,32.70201821543807 -2012-04-20 14:00:00,1162.5957156742372,32.71242036657843 -2012-04-20 15:00:00,1157.5525938872947,32.72791608276659 -2012-04-20 16:00:00,1152.4750065131493,32.752444675532686 -2012-04-20 17:00:00,1147.412698328944,32.77340038180183 -2012-04-20 18:00:00,1142.339517065994,32.764869041166776 -2012-04-20 19:00:00,1137.3348398976689,32.63352945610221 -2012-04-20 20:00:00,1132.316835129939,32.37560967702594 -2012-04-20 21:00:00,1127.2726405861372,32.33604053183679 -2012-04-20 22:00:00,1122.0874335929136,32.26121513909233 -2012-04-20 23:00:00,1116.883333607374,32.257275885747426 -2012-04-21 00:00:00,1112.0657486729467,32.367545577381534 -2012-04-21 01:00:00,1107.210379386922,32.49130451510342 -2012-04-21 02:00:00,1102.3399152094707,32.590021982055646 -2012-04-21 03:00:00,1097.4200720313643,32.563143884557384 -2012-04-21 04:00:00,1092.5052819468378,32.47460251733453 -2012-04-21 05:00:00,1087.5427167107082,32.15180956730867 -2012-04-21 06:00:00,1082.585350388999,31.41573887940728 -2012-04-21 07:00:00,1077.6206326457077,30.707587849984225 -2012-04-21 08:00:00,1072.6425569470548,30.599479603821067 -2012-04-21 09:00:00,1067.6724039187782,30.849810017541227 -2012-04-21 10:00:00,1062.7049407594889,31.411458324361444 -2012-04-21 11:00:00,1057.7824810591633,32.30378189349503 -2012-04-21 12:00:00,1052.8658831521595,33.25448520847535 -2012-04-21 13:00:00,1047.9095471837936,33.934140168989266 -2012-04-21 14:00:00,1042.920288508858,34.48414449179829 -2012-04-21 15:00:00,1038.0150637648826,35.02984559437398 -2012-04-21 16:00:00,1033.023229856498,35.64039758688309 -2012-04-21 17:00:00,1028.0843147367743,35.646084055437065 -2012-04-21 18:00:00,1023.1167102910109,36.08671696605857 -2012-04-21 19:00:00,1018.1295027008077,36.93261605367791 -2012-04-21 20:00:00,1013.1471139585893,38.049003071635184 -2012-04-21 21:00:00,1008.1499940033193,39.73738820635958 -2012-04-21 22:00:00,1003.0863488069316,42.895094493132746 -2012-04-21 23:00:00,998.0646213767582,47.68611651448544 -2012-04-22 00:00:00,994.0134284860716,50.37231669018124 -2012-04-22 01:00:00,989.9497416602256,51.81213711025427 -2012-04-22 02:00:00,985.8638784577957,52.555048649688096 -2012-04-22 03:00:00,981.7964106744832,52.78470275224277 -2012-04-22 04:00:00,977.6759773369128,52.94256475342445 -2012-04-22 05:00:00,973.5728085833188,53.03450344983351 -2012-04-22 06:00:00,969.4642185813143,53.05263895049088 -2012-04-22 07:00:00,965.3662743090583,53.09895494469432 -2012-04-22 08:00:00,961.2578398604848,53.18944275841879 -2012-04-22 09:00:00,957.2555287426616,53.307646212613655 -2012-04-22 10:00:00,953.1405603093746,53.48602315790911 -2012-04-22 11:00:00,949.1752294660472,53.75975656603072 -2012-04-22 12:00:00,945.076998677156,54.19537286414502 -2012-04-22 13:00:00,940.9473189380475,54.638236236312096 -2012-04-22 14:00:00,936.8397445006958,55.01698760146335 -2012-04-22 15:00:00,932.6991495608994,55.22746268545508 -2012-04-22 16:00:00,928.6241711186701,55.35805519431871 -2012-04-22 17:00:00,924.6255649144401,55.48289888668911 -2012-04-22 18:00:00,920.6108729173113,55.61735432395947 -2012-04-22 19:00:00,916.6086250453191,55.83437374845349 -2012-04-22 20:00:00,912.6154628546425,56.04281159568265 -2012-04-22 21:00:00,908.613674078803,56.10388190140522 -2012-04-22 22:00:00,904.5734493452517,56.15250100484087 -2012-04-22 23:00:00,900.5656843817611,56.13816208324123 -2012-04-23 00:00:00,896.8114324143692,56.10952724742798 -2012-04-23 01:00:00,893.0481938755604,56.07504099108883 -2012-04-23 02:00:00,889.2830289378824,56.047797360086385 -2012-04-23 03:00:00,885.4375665084857,56.03275020254533 -2012-04-23 04:00:00,881.6535211713763,56.03396451466924 -2012-04-23 05:00:00,877.861498267483,56.04415796372394 -2012-04-23 06:00:00,874.0574441251504,56.03571215114029 -2012-04-23 07:00:00,870.2599589696097,56.04351672932936 -2012-04-23 08:00:00,866.4643195365071,56.08498470164028 -2012-04-23 09:00:00,862.6462011478047,56.109677743224665 -2012-04-23 10:00:00,858.6487294412184,56.170467168940746 -2012-04-23 11:00:00,854.0681887377842,56.213696663945626 -2012-04-23 12:00:00,848.7981751802917,56.408623761631496 -2012-04-23 13:00:00,843.5616937562178,58.06084407435392 -2012-04-23 14:00:00,838.2891746268593,60.049335058423225 -2012-04-23 15:00:00,833.0431925878975,60.533655040336185 -2012-04-23 16:00:00,828.2559241448927,60.98146647632241 -2012-04-23 17:00:00,823.7594278638832,61.293130366083105 -2012-04-23 18:00:00,818.998750500117,61.34706057675277 -2012-04-23 19:00:00,814.7251142817747,61.26796951747249 -2012-04-23 20:00:00,810.702362514958,61.17927489366213 -2012-04-23 21:00:00,806.7852417127064,61.130110180402276 -2012-04-23 22:00:00,802.9279773379184,61.09330830616576 -2012-04-23 23:00:00,799.1658648391733,61.059881429727035 -2012-04-24 00:00:00,796.6158047329127,60.97682741399912 -2012-04-24 01:00:00,794.1329806748487,60.86969055644937 -2012-04-24 02:00:00,791.6904211508927,60.78258127945304 -2012-04-24 03:00:00,789.2470308006226,60.7417894182846 -2012-04-24 04:00:00,786.8056338113954,60.65197062042143 -2012-04-24 05:00:00,784.3411697206014,60.55135689216869 -2012-04-24 06:00:00,781.8476130061026,60.482192621523794 -2012-04-24 07:00:00,779.3510386463191,60.43157202142753 -2012-04-24 08:00:00,776.7867610301679,60.394575161617965 -2012-04-24 09:00:00,774.078465552778,60.35983844828262 -2012-04-24 10:00:00,771.1697758285135,60.31258410814374 -2012-04-24 11:00:00,768.2295380795591,60.25650711809549 -2012-04-24 12:00:00,765.3763221810513,60.114197436008894 -2012-04-24 13:00:00,762.4443156811197,59.89053477112438 -2012-04-24 14:00:00,759.4463171968652,59.54003917131515 -2012-04-24 15:00:00,756.7686435813958,58.96778214610453 -2012-04-24 16:00:00,754.1748606010042,58.353552803816505 -2012-04-24 17:00:00,751.7027642902046,57.93261170608267 -2012-04-24 18:00:00,749.1190243899707,57.626501531964756 -2012-04-24 19:00:00,746.5881276190083,57.30844517027171 -2012-04-24 20:00:00,744.1152122880969,57.02547330501955 -2012-04-24 21:00:00,741.6541731788495,56.85678395741879 -2012-04-24 22:00:00,739.2245395301397,56.72015442283651 -2012-04-24 23:00:00,736.8551089980921,56.61271903072334 -2012-04-25 00:00:00,734.5971088076175,56.572032675738136 -2012-04-25 01:00:00,732.3386240975267,56.66889948922866 -2012-04-25 02:00:00,730.0668935839708,56.895569640759064 -2012-04-25 03:00:00,727.8203044955275,56.875778317094756 -2012-04-25 04:00:00,725.5754648662263,56.91278401297277 -2012-04-25 05:00:00,723.277731625682,57.03689009425258 -2012-04-25 06:00:00,720.9725549414578,57.37363753874162 -2012-04-25 07:00:00,718.6815723069661,58.03777020933283 -2012-04-25 08:00:00,716.4250778281022,58.96212701957887 -2012-04-25 09:00:00,714.2333883856743,59.30856159552582 -2012-04-25 10:00:00,712.095285686391,60.077645063611136 -2012-04-25 11:00:00,710.0139969498221,61.046412085616886 -2012-04-25 12:00:00,707.9513801633567,62.178561332293256 -2012-04-25 13:00:00,705.9905745668017,64.45492227046235 -2012-04-25 14:00:00,704.0982836703745,67.92098952226625 -2012-04-25 15:00:00,702.2443548043931,70.7992771106302 -2012-04-25 16:00:00,700.3712485034878,77.67678672862834 -2012-04-25 17:00:00,698.5591104485103,86.29085636842149 -2012-04-25 18:00:00,696.6726919183623,93.05027915301469 -2012-04-25 19:00:00,694.6981658695713,97.99787610559918 -2012-04-25 20:00:00,692.5470420590129,103.24729906820073 -2012-04-25 21:00:00,690.4926248267886,106.04430006278612 -2012-04-25 22:00:00,688.4115638158801,111.50475166498211 -2012-04-25 23:00:00,686.3507974087124,117.54756056095226 -2012-04-26 00:00:00,684.356608116472,120.59648594956592 -2012-04-26 01:00:00,682.3550219929667,123.22510190753185 -2012-04-26 02:00:00,680.3531846828903,126.10929420474073 -2012-04-26 03:00:00,678.3342890986777,127.65032660155852 -2012-04-26 04:00:00,676.3234688741267,131.26100849739578 -2012-04-26 05:00:00,674.2786454886208,134.91726942063067 -2012-04-26 06:00:00,672.2655215302975,136.6263485144157 -2012-04-26 07:00:00,670.2733420452006,137.7794576137915 -2012-04-26 08:00:00,668.29442153031,138.77567438351818 -2012-04-26 09:00:00,666.3793665303699,138.9281957256439 -2012-04-26 10:00:00,664.4908205536094,139.14821482689263 -2012-04-26 11:00:00,662.6117870494476,140.27324495634838 -2012-04-26 12:00:00,660.7841601626147,144.3503937893451 -2012-04-26 13:00:00,658.9740684867622,150.8929016323244 -2012-04-26 14:00:00,657.1913346440002,155.61354665261965 -2012-04-26 15:00:00,655.3761145981147,158.55315813727952 -2012-04-26 16:00:00,653.5809887630382,164.88918710445506 -2012-04-26 17:00:00,651.8046981866493,173.14257952696104 -2012-04-26 18:00:00,650.0049720220143,180.25103241417844 -2012-04-26 19:00:00,648.212863531169,187.259117397742 -2012-04-26 20:00:00,646.4081262738929,193.08872253387074 -2012-04-26 21:00:00,644.6020447554346,196.84344691884593 -2012-04-26 22:00:00,642.7992061175752,201.24686439408822 -2012-04-26 23:00:00,640.9870919680768,204.47866248062286 -2012-04-27 00:00:00,638.8741742093487,206.67634394279372 -2012-04-27 01:00:00,636.7776576053257,207.94709835191478 -2012-04-27 02:00:00,634.6922436947441,208.51226245723612 -2012-04-27 03:00:00,632.6259136215233,208.53023135885672 -2012-04-27 04:00:00,630.5474639594198,208.52800857609847 -2012-04-27 05:00:00,628.468835432389,208.47119592742072 -2012-04-27 06:00:00,626.4041732547225,208.37260206047307 -2012-04-27 07:00:00,624.3413972110069,208.28003183000865 -2012-04-27 08:00:00,622.2994692780646,208.22447992477825 -2012-04-27 09:00:00,620.2700893419234,208.21641025059546 -2012-04-27 10:00:00,618.2408568469211,208.20084488577487 -2012-04-27 11:00:00,616.2516229585301,208.20667286663846 -2012-04-27 12:00:00,614.2769186408746,208.2054188619118 -2012-04-27 13:00:00,612.3370871687049,208.20318155790727 -2012-04-27 14:00:00,610.3758630421913,208.18661256007903 -2012-04-27 15:00:00,608.4236040421887,208.15368009014097 -2012-04-27 16:00:00,606.4476108572284,208.10762166859416 -2012-04-27 17:00:00,604.487721500619,208.0597127951299 -2012-04-27 18:00:00,602.4979746575323,207.98382478653977 -2012-04-27 19:00:00,600.4193238659831,207.88248922916605 -2012-04-27 20:00:00,598.3135936505996,207.7829825588395 -2012-04-27 21:00:00,596.211551958801,207.70079924184628 -2012-04-27 22:00:00,594.2065574795791,207.58985278601878 -2012-04-27 23:00:00,592.2229898312246,207.4075905227986 -2012-04-28 00:00:00,590.3395282765613,207.13896632626455 -2012-04-28 01:00:00,588.460976350486,206.85686062076292 -2012-04-28 02:00:00,586.5673929043354,206.48401032133884 -2012-04-28 03:00:00,584.7076613734447,206.24885485649583 -2012-04-28 04:00:00,582.8073972777314,205.92247603351836 -2012-04-28 05:00:00,580.9491834114718,205.55484504906815 -2012-04-28 06:00:00,579.0756886277472,205.0570833461017 -2012-04-28 07:00:00,577.2050375190903,204.56082129316616 -2012-04-28 08:00:00,575.3390821389734,204.1778189186396 -2012-04-28 09:00:00,573.5278845157522,203.85442754446225 -2012-04-28 10:00:00,571.699338269184,203.26114657951211 -2012-04-28 11:00:00,569.9357079261507,202.3540620543541 -2012-04-28 12:00:00,568.1860739029884,201.39279914067635 -2012-04-28 13:00:00,566.4965198224672,200.69561267009058 -2012-04-28 14:00:00,564.8688560065965,200.1329751770695 -2012-04-28 15:00:00,563.2739732522119,199.5660633264624 -2012-04-28 16:00:00,561.671898612412,198.79087050354042 -2012-04-28 17:00:00,559.9709074116438,198.08560759858005 -2012-04-28 18:00:00,558.2777886962683,197.16953307139977 -2012-04-28 19:00:00,556.5694830253026,196.04825149717115 -2012-04-28 20:00:00,554.8411773244777,194.56421950777116 -2012-04-28 21:00:00,553.1327520682302,192.7693918010056 -2012-04-28 22:00:00,551.4070290940628,189.45031838396486 -2012-04-28 23:00:00,549.6727952973775,184.60980670590953 -2012-04-29 00:00:00,547.4033604869343,181.89866204275006 -2012-04-29 01:00:00,545.129129407817,180.44952111450053 -2012-04-29 02:00:00,542.8860405564802,179.70411505631702 -2012-04-29 03:00:00,540.597964129223,179.47142517503968 -2012-04-29 04:00:00,538.3424023612943,179.30772150920438 -2012-04-29 05:00:00,536.0880634631052,179.21803404252032 -2012-04-29 06:00:00,533.8343837682899,179.19918837884995 -2012-04-29 07:00:00,531.5955749008408,179.15470536714992 -2012-04-29 08:00:00,529.4336490349516,179.071857242257 -2012-04-29 09:00:00,527.2085942329813,178.952179245017 -2012-04-29 10:00:00,525.1440380810329,178.7821666137552 -2012-04-29 11:00:00,523.0101466131133,178.504467172185 -2012-04-29 12:00:00,521.0661989147613,178.07065107992838 -2012-04-29 13:00:00,519.3604756194392,177.62492111577475 -2012-04-29 14:00:00,517.8627544836846,177.22705753995615 -2012-04-29 15:00:00,516.2816699200416,176.99788810050683 -2012-04-29 16:00:00,514.5185925932627,176.8230420460313 -2012-04-29 17:00:00,512.6838587104145,176.66395293586794 -2012-04-29 18:00:00,510.7392689546521,176.4931567209506 -2012-04-29 19:00:00,508.74640258603085,176.23400794583756 -2012-04-29 20:00:00,506.76781654253307,175.98752562064254 -2012-04-29 21:00:00,504.7718544243824,175.89843796807014 -2012-04-29 22:00:00,502.8141877699652,175.82229639404264 -2012-04-29 23:00:00,500.8712910543016,175.79922824575883 -2012-04-30 00:00:00,498.9729597565828,175.7989990955491 -2012-04-30 01:00:00,497.04723687678586,175.80167366345776 -2012-04-30 02:00:00,495.11669542197706,175.8045843123984 -2012-04-30 03:00:00,493.19004060321544,175.8052396084698 -2012-04-30 04:00:00,491.242265801263,175.79668982858797 -2012-04-30 05:00:00,489.3094139129858,175.78297541610016 -2012-04-30 06:00:00,487.3863313651808,175.77579348201718 -2012-04-30 07:00:00,485.48869531738427,175.75271800645436 -2012-04-30 08:00:00,483.60904557496497,175.6958499536321 -2012-04-30 09:00:00,481.77990496363157,175.66457628346808 -2012-04-30 10:00:00,479.97269571004597,175.59962770422493 -2012-04-30 11:00:00,478.1946285347247,175.54588968852752 -2012-04-30 12:00:00,476.47628978571777,175.3422888419288 -2012-04-30 13:00:00,474.80295188102986,173.86359339533948 -2012-04-30 14:00:00,473.1468241152014,172.42074492617795 -2012-04-30 15:00:00,471.52205200268816,172.51910949248773 -2012-04-30 16:00:00,469.7911994413132,173.07186299883676 -2012-04-30 17:00:00,468.15545731080255,173.79839504396608 -2012-04-30 18:00:00,466.4441196946077,174.20946243527501 -2012-04-30 19:00:00,464.730046937999,174.3592169437212 -2012-04-30 20:00:00,463.0044103854687,174.41987648676803 -2012-04-30 21:00:00,461.30828021472536,174.4702324561833 -2012-04-30 22:00:00,459.65229281903305,174.49434959083513 -2012-04-30 23:00:00,457.89962457188864,174.4945208424242 -2012-05-01 00:00:00,456.2566919239308,174.50317043024594 -2012-05-01 01:00:00,454.600841183253,174.49919171445157 -2012-05-01 02:00:00,452.9491396905105,174.48990812466198 -2012-05-01 03:00:00,451.27527271165457,174.47957181122916 -2012-05-01 04:00:00,449.5925742335529,174.47357534038017 -2012-05-01 05:00:00,447.9362538789098,174.4741941385458 -2012-05-01 06:00:00,446.2907421800893,174.4839693147975 -2012-05-01 07:00:00,444.6643367055406,174.50359855795793 -2012-05-01 08:00:00,443.0298266147921,174.5199134014664 -2012-05-01 09:00:00,441.4313783055156,174.5407726706785 -2012-05-01 10:00:00,439.8316477219263,174.5606540706596 -2012-05-01 11:00:00,438.1995451631403,174.5617250653691 -2012-05-01 12:00:00,436.54414276161884,174.5800271222443 -2012-05-01 13:00:00,434.9059212380103,174.6090594427409 -2012-05-01 14:00:00,433.2796368476056,174.64670578388055 -2012-05-01 15:00:00,431.6040720768026,174.6731089622793 -2012-05-01 16:00:00,429.98832460492747,174.70762388444874 -2012-05-01 17:00:00,428.28844684122805,174.72979384087876 -2012-05-01 18:00:00,426.68718657610344,174.7656414287353 -2012-05-01 19:00:00,425.10772673731634,174.7917328945105 -2012-05-01 20:00:00,423.53340211730097,174.8169787834827 -2012-05-01 21:00:00,421.95811942093565,174.8382713850887 -2012-05-01 22:00:00,420.3795207799834,174.86053282169541 -2012-05-01 23:00:00,418.74643361119917,174.88035562375921 -2012-05-02 00:00:00,417.3071982436476,174.82242044191398 -2012-05-02 01:00:00,415.87847912433944,174.62729348912742 -2012-05-02 02:00:00,414.4443589940726,174.2914869529868 -2012-05-02 03:00:00,413.03185645864005,174.17466196175053 -2012-05-02 04:00:00,411.59478565675,174.01927635387014 -2012-05-02 05:00:00,410.1966236647414,173.7878434299916 -2012-05-02 06:00:00,408.860545862412,173.35240410095125 -2012-05-02 07:00:00,407.5508225363144,172.58115067845398 -2012-05-02 08:00:00,406.24724506613416,171.53989743715923 -2012-05-02 09:00:00,404.8850720690475,171.06541231379194 -2012-05-02 10:00:00,403.5195753072962,170.15553417572153 -2012-05-02 11:00:00,402.1734398005493,169.04321951706916 -2012-05-02 12:00:00,400.91346999212016,167.59735010378805 -2012-05-02 13:00:00,399.68312973187307,165.0035821151566 -2012-05-02 14:00:00,398.4509517667503,161.23207171108538 -2012-05-02 15:00:00,397.0236099004976,158.07721650385687 -2012-05-02 16:00:00,395.4819869192136,150.97913995257557 -2012-05-02 17:00:00,393.8431358156121,142.18242937755608 -2012-05-02 18:00:00,392.26282759417523,135.3712234158536 -2012-05-02 19:00:00,390.717113568431,130.38232225245096 -2012-05-02 20:00:00,389.25132764070855,125.09812890847562 -2012-05-02 21:00:00,387.79966060066056,122.2637149489715 -2012-05-02 22:00:00,386.40761807692417,116.76355166978077 -2012-05-02 23:00:00,385.0256588902351,110.69130684128751 -2012-05-03 00:00:00,383.69363780733704,107.61130519721263 -2012-05-03 01:00:00,382.4042189303613,104.9523267812897 -2012-05-03 02:00:00,381.13185998421324,102.05144844436006 -2012-05-03 03:00:00,379.90827810689666,100.5202637156164 -2012-05-03 04:00:00,378.5529421145341,97.01440242771348 -2012-05-03 05:00:00,377.2362572794651,93.40723606024788 -2012-05-03 06:00:00,375.91362511371125,91.7205084965922 -2012-05-03 07:00:00,374.6000028698752,90.57090038665478 -2012-05-03 08:00:00,373.26933799433317,89.55937584471674 -2012-05-03 09:00:00,371.96274601982634,89.37487844323563 -2012-05-03 10:00:00,370.60795504653686,89.13209444714329 -2012-05-03 11:00:00,369.3500649447822,87.98296503025009 -2012-05-03 12:00:00,368.0956595022166,83.8866182596901 -2012-05-03 13:00:00,366.88256800411807,77.31744425362383 -2012-05-03 14:00:00,365.6680279246695,72.57173191408435 -2012-05-03 15:00:00,364.4527919867879,69.60033893868277 -2012-05-03 16:00:00,363.1569460421888,63.22421331315454 -2012-05-03 17:00:00,361.82151057111884,54.94707556531482 -2012-05-03 18:00:00,360.5238274669668,47.80854615828681 -2012-05-03 19:00:00,359.23143094887877,40.7832263720337 -2012-05-03 20:00:00,357.93429521296866,34.946127528190615 -2012-05-03 21:00:00,356.6803097033299,31.18679738313936 -2012-05-03 22:00:00,355.38631782965905,26.772187293052465 -2012-05-03 23:00:00,354.03791247804855,23.532717216264608 -2012-05-04 00:00:00,353.12801002115384,21.31228620040628 -2012-05-04 01:00:00,352.20865072471884,20.01823232786921 -2012-05-04 02:00:00,351.2557480590936,19.394585719651854 -2012-05-04 03:00:00,350.3398352610762,19.308548692074798 -2012-05-04 04:00:00,349.4035813306207,19.232049473140606 -2012-05-04 05:00:00,348.44916100906806,19.17392762612451 -2012-05-04 06:00:00,347.52544740952703,19.12799445687628 -2012-05-04 07:00:00,346.6072935860266,19.095481414527963 -2012-05-04 08:00:00,345.6733460992232,19.062853963533183 -2012-05-04 09:00:00,344.76126144360677,19.03106202264897 -2012-05-04 10:00:00,343.8387172175272,19.005712364632444 -2012-05-04 11:00:00,342.92237435798233,18.97149995043251 -2012-05-04 12:00:00,342.02366967430606,18.937828123416597 -2012-05-04 13:00:00,341.126738247759,18.904384953017555 -2012-05-04 14:00:00,340.2915681822599,18.878075284249284 -2012-05-04 15:00:00,339.49865825753756,18.85053781743113 -2012-05-04 16:00:00,338.7254164089424,18.818658716138387 -2012-05-04 17:00:00,337.9244529938914,18.79992387776016 -2012-05-04 18:00:00,337.07695874683975,18.77491713682347 -2012-05-04 19:00:00,336.19870538993115,18.748288518725225 -2012-05-04 20:00:00,335.3051294959167,18.71157850888439 -2012-05-04 21:00:00,334.39753623343785,18.68676448168362 -2012-05-04 22:00:00,333.50315375064457,18.648373338119363 -2012-05-04 23:00:00,332.6070548858545,18.626069813536386 -2012-05-05 00:00:00,331.7229336166991,18.600260116167817 -2012-05-05 01:00:00,330.83708184956214,18.580680469780777 -2012-05-05 02:00:00,329.9682495146061,18.558895544540132 -2012-05-05 03:00:00,329.0736423259622,18.557404197712636 -2012-05-05 04:00:00,328.18644711087865,18.530649663054085 -2012-05-05 05:00:00,327.3434863787887,18.51510903996244 -2012-05-05 06:00:00,326.4644943186519,18.50773783675439 -2012-05-05 07:00:00,325.6030082846654,18.49646373647711 -2012-05-05 08:00:00,324.78833170452987,18.479355375688204 -2012-05-05 09:00:00,323.99157927726355,18.462458930981324 -2012-05-05 10:00:00,323.25194571724273,18.445014656624227 -2012-05-05 11:00:00,322.52363065454585,18.444320724367454 -2012-05-05 12:00:00,321.91774172255504,18.434381414282853 -2012-05-05 13:00:00,321.3360406042116,18.432673532393657 -2012-05-05 14:00:00,320.7316501178001,18.4368224805113 -2012-05-05 15:00:00,319.9530949010706,18.441768720477178 -2012-05-05 16:00:00,319.16449344700715,18.453065593015133 -2012-05-05 17:00:00,318.4062952813768,18.450809181064674 -2012-05-05 18:00:00,317.61222666764,18.432424128756555 -2012-05-05 19:00:00,316.84065431803003,18.414269548327674 -2012-05-05 20:00:00,316.098138014835,18.403601782630144 -2012-05-05 21:00:00,315.3359443097724,18.391914468167887 -2012-05-05 22:00:00,314.60806762547264,18.39009023922961 -2012-05-05 23:00:00,313.8771623905573,18.35899625959102 -2012-05-06 00:00:00,313.17149118162683,18.340741140324607 -2012-05-06 01:00:00,312.4854866828064,18.325398714922624 -2012-05-06 02:00:00,311.7817776497435,18.309686613665125 -2012-05-06 03:00:00,311.0839531685681,18.282110903890374 -2012-05-06 04:00:00,310.3700904892673,18.258653124209395 -2012-05-06 05:00:00,309.62552530359767,18.21382356091285 -2012-05-06 06:00:00,308.88413755283693,18.1828760593077 -2012-05-06 07:00:00,308.1393987548651,18.149677127893955 -2012-05-06 08:00:00,307.3906201816597,18.11504545053536 -2012-05-06 09:00:00,306.67819507934706,18.080033493190136 -2012-05-06 10:00:00,305.9769313810278,18.051998101115604 -2012-05-06 11:00:00,305.2491612423136,18.01276757048709 -2012-05-06 12:00:00,304.54748302726904,17.979597761431542 -2012-05-06 13:00:00,303.7206201994814,17.950510297963596 -2012-05-06 14:00:00,302.64102556941845,17.923536899312722 -2012-05-06 15:00:00,301.61480404065696,17.89213615884851 -2012-05-06 16:00:00,300.73549841569564,17.869848177852717 -2012-05-06 17:00:00,299.91796740740915,17.844398127486386 -2012-05-06 18:00:00,299.2517664000839,17.814854190801857 -2012-05-06 19:00:00,298.59923734181905,17.78536196049219 -2012-05-06 20:00:00,297.905632929648,17.751254984482117 -2012-05-06 21:00:00,297.2213189566376,17.72628405585495 -2012-05-06 22:00:00,296.50020876102155,17.698753800244667 -2012-05-06 23:00:00,295.7629490630822,17.66268532814288 -2012-05-07 00:00:00,294.9672091363988,17.644887803285503 -2012-05-07 01:00:00,294.2037332103083,17.627011536040264 -2012-05-07 02:00:00,293.42105892147475,17.618813718163306 -2012-05-07 03:00:00,292.6816979012411,17.590886148787032 -2012-05-07 04:00:00,291.893578664089,17.582500348076543 -2012-05-07 05:00:00,291.1124287541516,17.576265308733095 -2012-05-07 06:00:00,290.3270617706689,17.56347118736973 -2012-05-07 07:00:00,289.54780338609277,17.54884669417556 -2012-05-07 08:00:00,288.7812827112281,17.53760659236794 -2012-05-07 09:00:00,288.0055310272031,17.516340066976586 -2012-05-07 10:00:00,287.2354003381438,17.50239344454264 -2012-05-07 11:00:00,286.5076030005606,17.491217858825767 -2012-05-07 12:00:00,285.73615267449895,17.435602691018016 -2012-05-07 13:00:00,284.9518944802166,17.190277418371902 -2012-05-07 14:00:00,284.1436379244907,16.578186045058516 -2012-05-07 15:00:00,283.373512588324,15.931157722670187 -2012-05-07 16:00:00,282.65389356694243,14.87549053725135 -2012-05-07 17:00:00,281.91102095416664,13.805700554325908 -2012-05-07 18:00:00,281.1895498954651,13.262257655763777 -2012-05-07 19:00:00,280.46912918230487,13.077373624175149 -2012-05-07 20:00:00,279.7450097898314,12.99939803728085 -2012-05-07 21:00:00,279.0289776280985,12.954114760208554 -2012-05-07 22:00:00,278.29980834544415,12.911191940975577 -2012-05-07 23:00:00,277.5614516893488,12.88355042464206 -2012-05-08 00:00:00,276.8580609857921,12.8624272268159 -2012-05-08 01:00:00,276.15483939929715,12.842935952548691 -2012-05-08 02:00:00,275.45747768309434,12.818996889550952 -2012-05-08 03:00:00,274.76654290085867,12.812520489453831 -2012-05-08 04:00:00,274.10249735819053,12.806466881061787 -2012-05-08 05:00:00,273.4175345301508,12.794602267851184 -2012-05-08 06:00:00,272.7222335669914,12.793141121309551 -2012-05-08 07:00:00,272.0384184201012,12.784713184953299 -2012-05-08 08:00:00,271.3655440671382,12.768045527385777 -2012-05-08 09:00:00,270.6898007923168,12.756220459256788 -2012-05-08 10:00:00,270.0378731880974,12.736670858733007 -2012-05-08 11:00:00,269.38384438388647,12.728033207894264 -2012-05-08 12:00:00,268.73349476358834,12.707704737917025 -2012-05-08 13:00:00,268.0808541997698,12.676993075813321 -2012-05-08 14:00:00,267.43813628399914,12.63760506875011 -2012-05-08 15:00:00,266.8061852448592,12.615972398687308 -2012-05-08 16:00:00,266.1820222177391,12.589080534560987 -2012-05-08 17:00:00,265.57724219589875,12.556754512962643 -2012-05-08 18:00:00,264.94700392591795,12.521031253377801 -2012-05-08 19:00:00,264.3053781532555,12.492027399026336 -2012-05-08 20:00:00,263.6823817406858,12.461511991741578 -2012-05-08 21:00:00,263.0388432755239,12.43911621909778 -2012-05-08 22:00:00,262.3894461658866,12.396195184286224 -2012-05-08 23:00:00,261.805212403624,12.379477828228595 -2012-05-09 00:00:00,261.00894400123525,12.37082170111349 -2012-05-09 01:00:00,260.205419874449,12.362942171459181 -2012-05-09 02:00:00,259.40565218927475,12.364673824220253 -2012-05-09 03:00:00,258.5705227398462,12.376109039466089 -2012-05-09 04:00:00,257.7901458019008,12.384366685403021 -2012-05-09 05:00:00,256.9456837507415,12.385535280824882 -2012-05-09 06:00:00,256.08480722184794,12.39828777503849 -2012-05-09 07:00:00,255.21451769034795,12.407813804695815 -2012-05-09 08:00:00,254.3487269925759,12.410813273488916 -2012-05-09 09:00:00,253.51793378449878,12.411634440536165 -2012-05-09 10:00:00,252.69896873390297,12.417644053676085 -2012-05-09 11:00:00,251.78348249718147,12.412003876131394 -2012-05-09 12:00:00,250.80432189551868,12.418214487561658 -2012-05-09 13:00:00,249.73875872012678,12.425537520922816 -2012-05-09 14:00:00,248.64682362340525,12.436983180716918 -2012-05-09 15:00:00,247.71006541992676,12.444080012806056 -2012-05-09 16:00:00,246.9156674774219,12.45945612479747 -2012-05-09 17:00:00,246.17789239502588,12.472885714617037 -2012-05-09 18:00:00,245.43683965396954,12.482619271065834 -2012-05-09 19:00:00,244.69397785867895,12.488759436030934 -2012-05-09 20:00:00,243.92702652257782,12.498610465692312 -2012-05-09 21:00:00,243.21446054899266,12.506444963401371 -2012-05-09 22:00:00,242.44708476426766,12.520617416841404 -2012-05-09 23:00:00,241.70428723721534,12.528338853112407 -2012-05-10 00:00:00,240.94681676995367,12.537074627122669 -2012-05-10 01:00:00,240.15612253443282,12.544845844717685 -2012-05-10 02:00:00,239.34421404079538,12.536551831787898 -2012-05-10 03:00:00,238.5285197193446,12.505720732527008 -2012-05-10 04:00:00,237.79456467570355,12.386095034557343 -2012-05-10 05:00:00,237.02962199142877,12.302171924419746 -2012-05-10 06:00:00,236.30401533397668,12.257152722868277 -2012-05-10 07:00:00,235.57961193632391,12.230719649053853 -2012-05-10 08:00:00,234.8784456820444,12.223083425634941 -2012-05-10 09:00:00,234.16535319596676,12.231568975138195 -2012-05-10 10:00:00,233.51251286508466,12.230526069189784 -2012-05-10 11:00:00,232.8334450114899,12.217624263895823 -2012-05-10 12:00:00,232.22889624900063,12.213180899902433 -2012-05-10 13:00:00,231.60261111407857,12.212961192372086 -2012-05-10 14:00:00,230.99697932485364,12.213748185289402 -2012-05-10 15:00:00,230.44936541605256,12.219282401272144 -2012-05-10 16:00:00,229.927717556797,12.226810790543528 -2012-05-10 17:00:00,229.40056341439313,12.22569045521982 -2012-05-10 18:00:00,228.90979968917352,12.229653092495523 -2012-05-10 19:00:00,228.3882306307023,12.220525152118533 -2012-05-10 20:00:00,227.81597842564844,12.202850764327446 -2012-05-10 21:00:00,227.17855933450886,12.189785379214214 -2012-05-10 22:00:00,226.5616663401015,12.176999174068918 -2012-05-10 23:00:00,225.97355564585158,12.157759292327933 -2012-05-11 00:00:00,225.35424271857553,12.148161806318535 -2012-05-11 01:00:00,224.73310704210735,12.133449434209814 -2012-05-11 02:00:00,224.14445097652782,12.12358965908095 -2012-05-11 03:00:00,223.50107668759173,12.124597836396475 -2012-05-11 04:00:00,222.85817540458132,12.131488171735068 -2012-05-11 05:00:00,222.2736372135694,12.136301277732537 -2012-05-11 06:00:00,221.65514616405463,12.143977370907358 -2012-05-11 07:00:00,221.0364259416219,12.15060608929994 -2012-05-11 08:00:00,220.47527608751042,12.161844908315912 -2012-05-11 09:00:00,219.97909907482887,12.16145230131407 -2012-05-11 10:00:00,219.5150693587043,12.163191238148455 -2012-05-11 11:00:00,219.2102973703846,12.169440648923864 -2012-05-11 12:00:00,219.2336294435704,12.178492550964634 -2012-05-11 13:00:00,219.4909931790994,12.18858749512994 -2012-05-11 14:00:00,219.61108780259545,12.19620172263228 -2012-05-11 15:00:00,219.67804377953354,12.210422268791818 -2012-05-11 16:00:00,219.47264922264725,12.225044727037428 -2012-05-11 17:00:00,219.18579259310263,12.235129517084035 -2012-05-11 18:00:00,218.9433344633434,12.244481860476995 -2012-05-11 19:00:00,218.65903828326023,12.249854502643469 -2012-05-11 20:00:00,218.49404810731244,12.2564016694122 -2012-05-11 21:00:00,218.3693865678168,12.241874118895648 -2012-05-11 22:00:00,218.2282527466338,12.244492163192984 -2012-05-11 23:00:00,218.09771265882907,12.240610885460795 -2012-05-12 00:00:00,218.1207790942118,12.221912992451111 -2012-05-12 01:00:00,218.0073432655271,12.197750921254963 -2012-05-12 02:00:00,217.7734719719341,12.167496640730626 -2012-05-12 03:00:00,217.525978125109,12.129527452729317 -2012-05-12 04:00:00,217.1546498327135,12.095319647931301 -2012-05-12 05:00:00,216.70570555941848,12.065131473697353 -2012-05-12 06:00:00,216.23428171419934,12.03075488904289 -2012-05-12 07:00:00,215.75292821298666,11.99898274798482 -2012-05-12 08:00:00,215.25730512887358,11.972481636221417 -2012-05-12 09:00:00,214.73644528121986,11.941777903936872 -2012-05-12 10:00:00,214.21120966132207,11.917176210106398 -2012-05-12 11:00:00,213.67809254411145,11.876763870256083 -2012-05-12 12:00:00,213.3713742933561,11.838213202983647 -2012-05-12 13:00:00,213.18378770036534,11.794523153571516 -2012-05-12 14:00:00,212.95135674353585,11.743949664944207 -2012-05-12 15:00:00,212.78541487095637,11.69342807520735 -2012-05-12 16:00:00,212.44823458588482,11.635171635234705 -2012-05-12 17:00:00,212.0681979718416,11.590511074374046 -2012-05-12 18:00:00,211.74874785968643,11.562011223961761 -2012-05-12 19:00:00,211.33524160219432,11.538531102015716 -2012-05-12 20:00:00,210.8547701281631,11.508877519484816 -2012-05-12 21:00:00,210.34110168950488,11.479728625726654 -2012-05-12 22:00:00,209.79743735472215,11.4497998297905 -2012-05-12 23:00:00,209.24845444153814,11.437815066589518 -2012-05-13 00:00:00,208.70119939370747,11.419073642709288 -2012-05-13 01:00:00,208.12400546142553,11.400622731829698 -2012-05-13 02:00:00,207.53944067404112,11.385812912433861 -2012-05-13 03:00:00,206.96782289883964,11.385166435779832 -2012-05-13 04:00:00,206.40365859343476,11.423906153588716 -2012-05-13 05:00:00,205.87651714534047,11.548231795620836 -2012-05-13 06:00:00,205.3557072081564,11.69221411406729 -2012-05-13 07:00:00,204.8478937555948,11.87073643417285 -2012-05-13 08:00:00,204.34974056225403,12.055238190023935 -2012-05-13 09:00:00,203.84550870172126,12.095829301654069 -2012-05-13 10:00:00,203.3263106860669,12.157805680817635 -2012-05-13 11:00:00,202.8468103017439,12.238483942976947 -2012-05-13 12:00:00,202.24718292528163,12.460304755146316 -2012-05-13 13:00:00,201.6127094162899,13.154954310892988 -2012-05-13 14:00:00,201.06718174441357,13.879673912018678 -2012-05-13 15:00:00,200.58654664563545,14.14263898489901 -2012-05-13 16:00:00,200.10823762141356,14.457991227179058 -2012-05-13 17:00:00,199.60519806148034,14.722422402893313 -2012-05-13 18:00:00,199.05247319822809,15.00541386384266 -2012-05-13 19:00:00,198.51400684972123,15.626058398686316 -2012-05-13 20:00:00,198.00161228650148,16.211240072541845 -2012-05-13 21:00:00,197.51807746304289,16.312477353486514 -2012-05-13 22:00:00,197.04608521674632,16.428240827904357 -2012-05-13 23:00:00,196.6125218629328,16.487748547424964 -2012-05-14 00:00:00,196.32628654168224,16.61114891025105 -2012-05-14 01:00:00,196.02236358587126,16.84953083320224 -2012-05-14 02:00:00,195.75564237899422,17.207230457132606 -2012-05-14 03:00:00,195.40894030215827,17.64369319038711 -2012-05-14 04:00:00,195.09367419356545,18.422037321881533 -2012-05-14 05:00:00,194.76304909807644,19.598056509313757 -2012-05-14 06:00:00,194.42220147124598,20.525712681724556 -2012-05-14 07:00:00,194.07394781348816,21.01263018600511 -2012-05-14 08:00:00,193.73053631259972,21.531295005254034 -2012-05-14 09:00:00,193.37113393507423,21.908661104222766 -2012-05-14 10:00:00,193.0452526211344,22.445496715575686 -2012-05-14 11:00:00,192.708184913962,22.978970855275353 -2012-05-14 12:00:00,192.41467752674495,23.56960504210083 -2012-05-14 13:00:00,192.12150575017301,24.223401734754866 -2012-05-14 14:00:00,191.8544829072266,24.99996580197526 -2012-05-14 15:00:00,191.60405534693862,25.582338727185093 -2012-05-14 16:00:00,191.30732715528362,26.415484283406816 -2012-05-14 17:00:00,190.98133946537854,27.23610176349398 -2012-05-14 18:00:00,190.70760514012824,27.649280617049143 -2012-05-14 19:00:00,190.42534545882762,27.921682682421892 -2012-05-14 20:00:00,190.14504072105476,28.296784908498232 -2012-05-14 21:00:00,189.8533943151676,28.567932994938065 -2012-05-14 22:00:00,189.56785907807588,28.801698558566844 -2012-05-14 23:00:00,189.26062718388312,28.95810559492452 -2012-05-15 00:00:00,188.95968049511998,29.019950363916607 -2012-05-15 01:00:00,188.63746720143584,29.16248146144236 -2012-05-15 02:00:00,188.27062082469237,29.403679963521 -2012-05-15 03:00:00,187.93924763492518,29.65250632972325 -2012-05-15 04:00:00,187.56307843953707,29.955944554906903 -2012-05-15 05:00:00,187.23411284767187,30.214151560570443 -2012-05-15 06:00:00,186.90677861038995,30.373013866759056 -2012-05-15 07:00:00,186.56834452139216,30.469937042671702 -2012-05-15 08:00:00,186.21621514704617,30.541317500860156 -2012-05-15 09:00:00,185.9135132070958,30.584459385844248 -2012-05-15 10:00:00,185.5696776345297,30.61564450008829 -2012-05-15 11:00:00,185.29902485800324,30.614054237759735 -2012-05-15 12:00:00,185.00667351819635,30.597042876136953 -2012-05-15 13:00:00,184.70797527176282,30.579898915788092 -2012-05-15 14:00:00,184.39037673962946,30.562446624695603 -2012-05-15 15:00:00,184.07145675519493,30.545771339386388 -2012-05-15 16:00:00,183.71902940871732,30.53010101359835 -2012-05-15 17:00:00,183.38411992135565,30.51846115361473 -2012-05-15 18:00:00,183.07093394586846,30.499405367861982 -2012-05-15 19:00:00,182.76939759062657,30.482776224577787 -2012-05-15 20:00:00,182.4592326107959,30.46303404512883 -2012-05-15 21:00:00,182.16292739776566,30.437978374014417 -2012-05-15 22:00:00,181.8755744669651,30.430231430892682 -2012-05-15 23:00:00,181.52153925014565,30.3934105121759 -2012-05-16 00:00:00,181.2213854037467,30.36997765898211 -2012-05-16 01:00:00,180.9182202557634,30.346471386073713 -2012-05-16 02:00:00,180.6140448498177,30.321091963953183 -2012-05-16 03:00:00,180.3236212264043,30.299105259941207 -2012-05-16 04:00:00,180.00023322284423,30.26621565938958 -2012-05-16 05:00:00,179.71702409438197,30.251200729124978 -2012-05-16 06:00:00,179.43251287132873,30.220336138025075 -2012-05-16 07:00:00,179.14644868232546,30.19412943487265 -2012-05-16 08:00:00,178.8649747701744,30.166191645082964 -2012-05-16 09:00:00,178.56367572903315,30.136289920598458 -2012-05-16 10:00:00,178.29951445467563,30.115961769195597 -2012-05-16 11:00:00,178.04831282480717,30.100193427028145 -2012-05-16 12:00:00,177.77888916661772,30.07730736509533 -2012-05-16 13:00:00,177.50961453229522,30.051708355733776 -2012-05-16 14:00:00,177.2354508669802,30.022966891318642 -2012-05-16 15:00:00,176.99073071044572,30.00324282840304 -2012-05-16 16:00:00,176.74993635917693,29.97210506588152 -2012-05-16 17:00:00,176.51986491131234,29.955142297897776 -2012-05-16 18:00:00,176.33571539430227,29.931995356810077 -2012-05-16 19:00:00,176.16828513688014,29.90573388694423 -2012-05-16 20:00:00,176.04999944903722,29.87936265252304 -2012-05-16 21:00:00,175.79332987229645,29.856012309886438 -2012-05-16 22:00:00,175.57119139869357,29.832689677212787 -2012-05-16 23:00:00,175.2835693318274,29.798846150081257 -2012-05-17 00:00:00,174.9348874324618,29.791213663412055 -2012-05-17 01:00:00,174.58452685846532,29.783177157323586 -2012-05-17 02:00:00,174.2454744962867,29.77839270307493 -2012-05-17 03:00:00,173.8772807033507,29.7677227629191 -2012-05-17 04:00:00,173.58393244287385,29.762310118984313 -2012-05-17 05:00:00,173.2524589594102,29.758899371310708 -2012-05-17 06:00:00,172.91310973346654,29.75235954341336 -2012-05-17 07:00:00,172.5734786216611,29.745957036242782 -2012-05-17 08:00:00,172.23120030959953,29.74120151555518 -2012-05-17 09:00:00,171.89424317939398,29.73354139604071 -2012-05-17 10:00:00,171.53010282369323,29.72525565996778 -2012-05-17 11:00:00,171.16023734847647,29.72452303531803 -2012-05-17 12:00:00,170.69703041973145,29.718428956040064 -2012-05-17 13:00:00,170.2198340106604,29.712449745304102 -2012-05-17 14:00:00,169.71266502218674,29.701843286299333 -2012-05-17 15:00:00,169.16614619703378,29.68950468601121 -2012-05-17 16:00:00,168.670841855941,29.69232293044303 -2012-05-17 17:00:00,168.18544014911268,29.684307497631547 -2012-05-17 18:00:00,167.65262183070942,29.678094036102955 -2012-05-17 19:00:00,167.15073696742283,29.67556201855065 -2012-05-17 20:00:00,166.69884321740912,29.669321253452146 -2012-05-17 21:00:00,166.29522933447777,29.68224262834033 -2012-05-17 22:00:00,165.90447056063067,29.732230594710625 -2012-05-17 23:00:00,165.51627604014027,29.815330771911285 -2012-05-18 00:00:00,165.12749271099796,29.89822169617698 -2012-05-18 01:00:00,164.7448489286526,29.995363563516044 -2012-05-18 02:00:00,164.36820135125325,30.080937340218274 -2012-05-18 03:00:00,163.9818915582359,30.121096602288272 -2012-05-18 04:00:00,163.62087147981873,30.182420628368046 -2012-05-18 05:00:00,163.25906883753578,30.219035342274516 -2012-05-18 06:00:00,162.88743008011076,30.24322222075328 -2012-05-18 07:00:00,162.5161867888019,30.26516556230442 -2012-05-18 08:00:00,162.1015074419371,30.28437556576431 -2012-05-18 09:00:00,161.60928940831502,30.309068199032943 -2012-05-18 10:00:00,161.1042606315848,30.32583226849253 -2012-05-18 11:00:00,160.45480283853584,30.338020054041532 -2012-05-18 12:00:00,159.47463984076015,30.34778478602405 -2012-05-18 13:00:00,158.2544598277345,30.362882573947527 -2012-05-18 14:00:00,157.12057572736168,30.36879149792557 -2012-05-18 15:00:00,156.01238554710588,30.37767682240143 -2012-05-18 16:00:00,155.14544920683295,30.38434693975438 -2012-05-18 17:00:00,154.42277904824687,30.389966153431523 -2012-05-18 18:00:00,153.66899878339328,30.3963279592907 -2012-05-18 19:00:00,152.98728277407494,30.408449999213847 -2012-05-18 20:00:00,152.20024499092625,30.45367974483302 -2012-05-18 21:00:00,151.39278884449183,30.506125644574425 -2012-05-18 22:00:00,150.56107009217865,30.563815551767487 -2012-05-18 23:00:00,149.77886094626936,30.609744214328046 -2012-05-19 00:00:00,148.82557109519598,30.649710514841725 -2012-05-19 01:00:00,148.01246372035442,30.68477074799465 -2012-05-19 02:00:00,147.30838239112882,30.71269524627115 -2012-05-19 03:00:00,146.62633496101847,30.742860348151982 -2012-05-19 04:00:00,146.05333025548092,30.76949919707548 -2012-05-19 05:00:00,145.576939600467,30.784074436150906 -2012-05-19 06:00:00,145.1262653861956,30.799948736344856 -2012-05-19 07:00:00,144.6817299120369,30.814921624278398 -2012-05-19 08:00:00,144.23726056670165,30.83488366614789 -2012-05-19 09:00:00,143.78867268292117,30.845826939979773 -2012-05-19 10:00:00,143.33510407262577,30.85594788589549 -2012-05-19 11:00:00,142.87344036327067,30.87712066938198 -2012-05-19 12:00:00,142.0799652235802,30.894474680157444 -2012-05-19 13:00:00,141.12522810923554,30.912867557951667 -2012-05-19 14:00:00,140.20765734520484,30.938403972856566 -2012-05-19 15:00:00,139.32574687530231,30.95303768281764 -2012-05-19 16:00:00,138.6662510209737,30.986367209715915 -2012-05-19 17:00:00,138.13039961237504,31.006022681741005 -2012-05-19 18:00:00,137.53894111767966,31.028506470906933 -2012-05-19 19:00:00,137.03428301741053,31.051785660360867 -2012-05-19 20:00:00,136.60036217192882,31.073718257467533 -2012-05-19 21:00:00,136.19516645512434,31.106415290153464 -2012-05-19 22:00:00,135.7832354826563,31.117501057258053 -2012-05-19 23:00:00,135.41396434346458,31.134611235658795 -2012-05-20 00:00:00,135.02183597768374,31.153486901525607 -2012-05-20 01:00:00,134.64564517961696,31.17318691236729 -2012-05-20 02:00:00,134.26642668195962,31.1855034989828 -2012-05-20 03:00:00,133.8904541944053,31.202523792217562 -2012-05-20 04:00:00,133.5201031707913,31.176105706329587 -2012-05-20 05:00:00,133.1378801497742,31.071138379782106 -2012-05-20 06:00:00,132.75741289524314,30.94368675071054 -2012-05-20 07:00:00,132.37550244155904,30.782250882201083 -2012-05-20 08:00:00,131.99083701691666,30.612601239493497 -2012-05-20 09:00:00,131.60714580692908,30.586410525213886 -2012-05-20 10:00:00,131.2167806405572,30.541621151542273 -2012-05-20 11:00:00,130.82987956137205,30.479087196233156 -2012-05-20 12:00:00,130.4385669030124,30.271435510451628 -2012-05-20 13:00:00,130.00809330705502,29.6018653342044 -2012-05-20 14:00:00,129.53370412140492,28.913849860978875 -2012-05-20 15:00:00,129.07149101448914,28.67651771662991 -2012-05-20 16:00:00,128.60087131508138,28.385864717317908 -2012-05-20 17:00:00,128.15049332939884,28.145918391151948 -2012-05-20 18:00:00,127.73385995532962,27.891615540138623 -2012-05-20 19:00:00,127.31968326385066,27.295699244029745 -2012-05-20 20:00:00,126.88256108354027,26.736719249905658 -2012-05-20 21:00:00,126.46419347036664,26.649948052993118 -2012-05-20 22:00:00,126.03429646306137,26.53641413850568 -2012-05-20 23:00:00,125.52019337363602,26.486005619307424 -2012-05-21 00:00:00,125.02238829825357,26.359224848885283 -2012-05-21 01:00:00,124.5416106349312,26.11848857809542 -2012-05-21 02:00:00,124.04492282366998,25.744235855912212 -2012-05-21 03:00:00,123.6098628989099,25.316831259739086 -2012-05-21 04:00:00,123.19613938117222,24.515370492826538 -2012-05-21 05:00:00,122.74641397214732,23.32413566533102 -2012-05-21 06:00:00,122.36309724827015,22.38442678515397 -2012-05-21 07:00:00,121.98582951677076,21.887091436442542 -2012-05-21 08:00:00,121.60945046734466,21.35845880835055 -2012-05-21 09:00:00,121.26328402713432,20.97566493421225 -2012-05-21 10:00:00,120.91642127325146,20.42933594209057 -2012-05-21 11:00:00,120.49459153740123,19.887719435905673 -2012-05-21 12:00:00,120.09531528985896,19.29008791462987 -2012-05-21 13:00:00,119.68913677336957,18.627367565994707 -2012-05-21 14:00:00,119.26630165215481,17.836060110726674 -2012-05-21 15:00:00,118.79354500789093,17.237885680838946 -2012-05-21 16:00:00,118.39217716549452,16.380105784087146 -2012-05-21 17:00:00,117.96698254698067,15.544274464041774 -2012-05-21 18:00:00,117.54174243971596,15.109664547875184 -2012-05-21 19:00:00,117.12916552541603,14.819410134664635 -2012-05-21 20:00:00,116.73098755831491,14.424705194209613 -2012-05-21 21:00:00,116.32340517906337,14.128748952409518 -2012-05-21 22:00:00,115.92376386229486,13.889177776023976 -2012-05-21 23:00:00,115.52532574266365,13.722566068076862 -2012-05-22 00:00:00,115.19334407990587,13.63165184146246 -2012-05-22 01:00:00,114.88756640917249,13.45663534732769 -2012-05-22 02:00:00,114.60640822789298,13.185352945790228 -2012-05-22 03:00:00,114.28906789598835,12.903987964433849 -2012-05-22 04:00:00,114.00063324419226,12.573878710361921 -2012-05-22 05:00:00,113.68386850527381,12.285954500935707 -2012-05-22 06:00:00,113.3516054665795,12.082204796371949 -2012-05-22 07:00:00,113.02225054412268,11.942133144870025 -2012-05-22 08:00:00,112.72411015478926,11.840721893243083 -2012-05-22 09:00:00,112.38035756245094,11.763314004986935 -2012-05-22 10:00:00,112.0535298683214,11.698900347778823 -2012-05-22 11:00:00,111.72631915713842,11.66941176666588 -2012-05-22 12:00:00,111.39834943758126,11.65721839262456 -2012-05-22 13:00:00,111.07925371231077,11.645272858276739 -2012-05-22 14:00:00,110.75485095718825,11.630752455041172 -2012-05-22 15:00:00,110.43575874765297,11.621942293019677 -2012-05-22 16:00:00,110.12857261978976,11.614169332771061 -2012-05-22 17:00:00,109.78661084652607,11.600455470188741 -2012-05-22 18:00:00,109.46143977063099,11.590936582486655 -2012-05-22 19:00:00,109.13463897945053,11.581029041978667 -2012-05-22 20:00:00,108.79014681612968,11.573463245917969 -2012-05-22 21:00:00,108.46420047724592,11.565922826682538 -2012-05-22 22:00:00,108.04456197501537,11.551333365939406 -2012-05-22 23:00:00,107.775944872462,11.550185322070746 -2012-05-23 00:00:00,107.4508215068411,11.547265442460565 -2012-05-23 01:00:00,107.12607989224925,11.544483277583403 -2012-05-23 02:00:00,106.79234664457294,11.540711538113857 -2012-05-23 03:00:00,106.47299909470595,11.538710432537016 -2012-05-23 04:00:00,106.14557223754562,11.537401149264596 -2012-05-23 05:00:00,105.79731049890007,11.530897100462388 -2012-05-23 06:00:00,105.46966194541533,11.528371835495719 -2012-05-23 07:00:00,105.14192149478951,11.521208790616242 -2012-05-23 08:00:00,104.80888237564479,11.522213106136254 -2012-05-23 09:00:00,104.50947071303776,11.520140755230628 -2012-05-23 10:00:00,104.16724832027785,11.516210944063387 -2012-05-23 11:00:00,103.84864144317262,11.513549726937235 -2012-05-23 12:00:00,103.53327046524984,11.510804314053953 -2012-05-23 13:00:00,103.21819420626464,11.507908795737794 -2012-05-23 14:00:00,102.90403964187648,11.50743310745148 -2012-05-23 15:00:00,102.5630967943235,11.502003925461443 -2012-05-23 16:00:00,102.21388649455962,11.499443077343319 -2012-05-23 17:00:00,101.8498444587986,11.49718219158706 -2012-05-23 18:00:00,101.44742312101017,11.492046596842657 -2012-05-23 19:00:00,101.03217008485625,11.49020619063351 -2012-05-23 20:00:00,100.57713274301753,11.493118290643265 -2012-05-23 21:00:00,100.24132212056124,11.48378949719889 -2012-05-23 22:00:00,99.89473586570415,11.483055264983388 -2012-05-23 23:00:00,99.5677300525105,11.489300755367932 -2012-05-24 00:00:00,99.3353900444771,11.469698556698592 -2012-05-24 01:00:00,99.1044804892932,11.449914371866752 -2012-05-24 02:00:00,98.8623794139434,11.422616629369424 -2012-05-24 03:00:00,98.64633978854692,11.410868980079531 -2012-05-24 04:00:00,98.37756708135181,11.3926105328754 -2012-05-24 05:00:00,98.14160637093558,11.371393715046954 -2012-05-24 06:00:00,97.90394859184305,11.349252518440293 -2012-05-24 07:00:00,97.66960763011002,11.327242598902323 -2012-05-24 08:00:00,97.43824338240105,11.3097853122582 -2012-05-24 09:00:00,97.20216626715334,11.291742336878125 -2012-05-24 10:00:00,96.99437282436897,11.272305883708755 -2012-05-24 11:00:00,96.77720314327799,11.251026417699556 -2012-05-24 12:00:00,96.55182754166803,11.228916086457023 -2012-05-24 13:00:00,96.32910673529808,11.206844518385198 -2012-05-24 14:00:00,96.12695396983747,11.191802368440445 -2012-05-24 15:00:00,95.9106464236044,11.182399258095895 -2012-05-24 16:00:00,95.69071330252797,11.156421961384874 -2012-05-24 17:00:00,95.47423670496896,11.132886191467334 -2012-05-24 18:00:00,95.25295290323064,11.110674422802528 -2012-05-24 19:00:00,95.03869879976986,11.092805647981171 -2012-05-24 20:00:00,94.83215803663936,11.069336170890022 -2012-05-24 21:00:00,94.59259711595384,11.021592857330917 -2012-05-24 22:00:00,94.38142436562553,10.949107464535409 -2012-05-24 23:00:00,94.1749806882354,10.835135539863456 -2012-05-25 00:00:00,93.95854777325208,10.722232453984466 -2012-05-25 01:00:00,93.74115307420206,10.59545835000694 -2012-05-25 02:00:00,93.49168718050241,10.480468366855373 -2012-05-25 03:00:00,93.3070835808375,10.410995058414668 -2012-05-25 04:00:00,93.04178656423996,10.318621774718148 -2012-05-25 05:00:00,92.82451333809522,10.254772017446962 -2012-05-25 06:00:00,92.60453579739873,10.204258226592529 -2012-05-25 07:00:00,92.39474238289381,10.160792202137424 -2012-05-25 08:00:00,92.18542871224508,10.113130186719385 -2012-05-25 09:00:00,91.97941940294956,10.0675167150377 -2012-05-25 10:00:00,91.76826424358595,10.027484979778073 -2012-05-25 11:00:00,91.50754983006767,9.983816251185985 -2012-05-25 12:00:00,91.30077957296211,9.96056735107304 -2012-05-25 13:00:00,91.0993855387543,9.94731043726039 -2012-05-25 14:00:00,90.86066920051685,9.942140435886238 -2012-05-25 15:00:00,90.69205722136324,9.940719990373614 -2012-05-25 16:00:00,90.41003691122864,9.92795942708695 -2012-05-25 17:00:00,90.21995171888277,9.907078331257301 -2012-05-25 18:00:00,90.01561479680883,9.8866327419667 -2012-05-25 19:00:00,89.80834720053636,9.853982282283802 -2012-05-25 20:00:00,89.57298643487788,9.779452330374337 -2012-05-25 21:00:00,89.39755941892356,9.715453882073367 -2012-05-25 22:00:00,89.24099580360914,9.636225314862145 -2012-05-25 23:00:00,89.00796668257092,9.566077070438734 -2012-05-26 00:00:00,88.80841895001589,9.533542629710821 -2012-05-26 01:00:00,88.60732051291758,9.517418372905396 -2012-05-26 02:00:00,88.41023823712008,9.49431448375952 -2012-05-26 03:00:00,88.21016091445618,9.458052393374086 -2012-05-26 04:00:00,88.04653873068078,9.439509171562383 -2012-05-26 05:00:00,87.81013304488131,9.412280513359407 -2012-05-26 06:00:00,87.61112396806415,9.39154994633616 -2012-05-26 07:00:00,87.414427958402,9.371132176064453 -2012-05-26 08:00:00,87.21532854258695,9.344963091665475 -2012-05-26 09:00:00,87.01723872571503,9.330317617028612 -2012-05-26 10:00:00,86.85028814457755,9.308340703465706 -2012-05-26 11:00:00,86.66199616975165,9.275681456517846 -2012-05-26 12:00:00,86.47911305414102,9.251863125224975 -2012-05-26 13:00:00,86.29916800194626,9.229706836353154 -2012-05-26 14:00:00,86.1054103022884,9.209962169869268 -2012-05-26 15:00:00,85.93593401946946,9.202050499588484 -2012-05-26 16:00:00,85.75173835858453,9.192397300191937 -2012-05-26 17:00:00,85.55475883725879,9.188408096436445 -2012-05-26 18:00:00,85.3746036009849,9.192274942985401 -2012-05-26 19:00:00,85.19322761874142,9.220710266509599 -2012-05-26 20:00:00,84.99768145025513,9.26227705392861 -2012-05-26 21:00:00,84.80980524811791,9.308802023744766 -2012-05-26 22:00:00,84.63983168409648,9.369400384273007 -2012-05-26 23:00:00,84.44348199590576,9.430780337704396 -2012-05-27 00:00:00,84.21966672506132,9.47042927958465 -2012-05-27 01:00:00,83.9948572450004,9.50507621477703 -2012-05-27 02:00:00,83.77763234056584,9.539553207035064 -2012-05-27 03:00:00,83.55121201037979,9.545082491290378 -2012-05-27 04:00:00,83.32867457825917,9.5516893792524 -2012-05-27 05:00:00,83.08300714785867,9.545273916809785 -2012-05-27 06:00:00,82.87092185024858,9.53322286270087 -2012-05-27 07:00:00,82.66196925556687,9.521866922468076 -2012-05-27 08:00:00,82.44292408935866,9.50233207075314 -2012-05-27 09:00:00,82.23230599510649,9.499178334383577 -2012-05-27 10:00:00,82.03696833498144,9.485682179650748 -2012-05-27 11:00:00,81.81914717133361,9.463908834059774 -2012-05-27 12:00:00,81.58897847808608,9.448510853984695 -2012-05-27 13:00:00,81.36236324555539,9.421032503847625 -2012-05-27 14:00:00,81.2063101616105,9.39118641036095 -2012-05-27 15:00:00,81.00898609391439,9.371750258425825 -2012-05-27 16:00:00,80.75957586767582,9.342553827148945 -2012-05-27 17:00:00,80.63018706512896,9.324948247445063 -2012-05-27 18:00:00,80.45138310097693,9.335383001531987 -2012-05-27 19:00:00,80.27248136385204,9.340968551865222 -2012-05-27 20:00:00,80.10788818701018,9.346685887445283 -2012-05-27 21:00:00,79.90839916778253,9.354766513453805 -2012-05-27 22:00:00,79.70744265828621,9.35313576449105 -2012-05-27 23:00:00,79.58056186772042,9.349520615745575 -2012-05-28 00:00:00,79.39055670065986,9.343910624750738 -2012-05-28 01:00:00,79.20880481756114,9.339039573620383 -2012-05-28 02:00:00,79.02641896148941,9.331834207340863 -2012-05-28 03:00:00,78.79954234199924,9.322590272665646 -2012-05-28 04:00:00,78.59537702666022,9.325997618162946 -2012-05-28 05:00:00,78.44670977379,9.315754596132708 -2012-05-28 06:00:00,78.22664850113392,9.317077612696272 -2012-05-28 07:00:00,78.01666024646542,9.315377540250553 -2012-05-28 08:00:00,77.83414910329921,9.315012358252673 -2012-05-28 09:00:00,77.59286641777531,9.302420896791833 -2012-05-28 10:00:00,77.3763051782191,9.296749495476632 -2012-05-28 11:00:00,77.25530083120805,9.287941097770116 -2012-05-28 12:00:00,77.06898536993515,9.277654876448679 -2012-05-28 13:00:00,76.9042559654192,9.26828381057777 -2012-05-28 14:00:00,76.7372900077087,9.262499112226749 -2012-05-28 15:00:00,76.61599405281245,9.256793547897717 -2012-05-28 16:00:00,76.48392106941829,9.263313077656175 -2012-05-28 17:00:00,76.39961137766232,9.256228821549929 -2012-05-28 18:00:00,76.2543955637732,9.254322393146152 -2012-05-28 19:00:00,76.09749807433732,9.247304559137358 -2012-05-28 20:00:00,75.92508751752338,9.24578547498941 -2012-05-28 21:00:00,75.76371960550246,9.245248052519509 -2012-05-28 22:00:00,75.57895731171716,9.240027808609604 -2012-05-28 23:00:00,75.41938610299596,9.231695164160676 -2012-05-29 00:00:00,75.1790762506767,9.24355619954961 -2012-05-29 01:00:00,74.93115351427502,9.258706562323285 -2012-05-29 02:00:00,74.68783379528206,9.2732328480802 -2012-05-29 03:00:00,74.47551883372087,9.285974295619047 -2012-05-29 04:00:00,74.22390523978835,9.290805591848248 -2012-05-29 05:00:00,74.00044352724257,9.298581265656207 -2012-05-29 06:00:00,73.81688036624773,9.312376462637753 -2012-05-29 07:00:00,73.66978180895728,9.326013807525253 -2012-05-29 08:00:00,73.54467451876762,9.337214272170355 -2012-05-29 09:00:00,73.47187631341959,9.347841576232023 -2012-05-29 10:00:00,73.44859067570665,9.368985875832106 -2012-05-29 11:00:00,73.4257125050835,9.38408006239403 -2012-05-29 12:00:00,73.41078519705194,9.40361377728115 -2012-05-29 13:00:00,73.46474506942751,9.421263422560427 -2012-05-29 14:00:00,73.58807415476734,9.43763187967327 -2012-05-29 15:00:00,73.69485587359156,9.450934806678239 -2012-05-29 16:00:00,73.81630018546824,9.458139188051534 -2012-05-29 17:00:00,73.95859579327117,9.468313448742293 -2012-05-29 18:00:00,73.9257478972137,9.478946003269872 -2012-05-29 19:00:00,73.86880361019544,9.489169553510077 -2012-05-29 20:00:00,73.8450481133557,9.503788762749943 -2012-05-29 21:00:00,73.72993096307572,9.517583354843346 -2012-05-29 22:00:00,73.77565899090314,9.541592284838464 -2012-05-29 23:00:00,73.65067103007718,9.55919650613898 -2012-05-30 00:00:00,73.53539815582485,9.570669911303149 -2012-05-30 01:00:00,73.41613682114237,9.58098501760765 -2012-05-30 02:00:00,73.32691506086924,9.595542955243694 -2012-05-30 03:00:00,73.19440774970526,9.600575452756235 -2012-05-30 04:00:00,73.12630879201284,9.620768410284475 -2012-05-30 05:00:00,72.97705523764151,9.619556292468664 -2012-05-30 06:00:00,72.82451842748574,9.631427167881789 -2012-05-30 07:00:00,72.62885796717647,9.638222169597999 -2012-05-30 08:00:00,72.51999418610066,9.649013728417794 -2012-05-30 09:00:00,72.38129629796003,9.667950014609298 -2012-05-30 10:00:00,72.23999583690623,9.669253177632985 -2012-05-30 11:00:00,72.19835883488615,9.679754100446297 -2012-05-30 12:00:00,72.11099471757773,9.692790417342536 -2012-05-30 13:00:00,72.01629515064471,9.707018015072443 -2012-05-30 14:00:00,71.90076298525614,9.731188364235411 -2012-05-30 15:00:00,71.75085090105944,9.776935304001016 -2012-05-30 16:00:00,71.58795509692064,9.855700105724258 -2012-05-30 17:00:00,71.43463061929042,9.979283952204925 -2012-05-30 18:00:00,71.27166863640744,10.201235034000073 -2012-05-30 19:00:00,71.10965698751373,10.383251312236393 -2012-05-30 20:00:00,70.93338616851557,10.551863429706957 -2012-05-30 21:00:00,70.76908795297008,10.740151426237626 -2012-05-30 22:00:00,70.59131244326247,10.88151214142597 -2012-05-30 23:00:00,70.4020959987768,11.000406921751525 -2012-05-31 00:00:00,70.29229243465198,11.128156045707492 -2012-05-31 01:00:00,70.17434038229638,11.239752607545887 -2012-05-31 02:00:00,70.05296647160067,11.332909331715564 -2012-05-31 03:00:00,69.9145627038909,11.383085270280437 -2012-05-31 04:00:00,69.82366920212594,11.422293173810408 -2012-05-31 05:00:00,69.71296178247744,11.444078098752252 -2012-05-31 06:00:00,69.596431544003,11.482257948216775 -2012-05-31 07:00:00,69.48669514019345,11.508626936932028 -2012-05-31 08:00:00,69.39430686616585,11.53247501467527 -2012-05-31 09:00:00,69.31546774513755,11.557315194550942 -2012-05-31 10:00:00,69.24516968362192,11.576386537928462 -2012-05-31 11:00:00,69.21326395968997,11.588607530034041 -2012-05-31 12:00:00,69.28717113426077,11.611552479148004 -2012-05-31 13:00:00,69.28098432132361,11.634333228057434 -2012-05-31 14:00:00,69.26766889388796,11.647317586736358 -2012-05-31 15:00:00,69.24682450029007,11.66014493976445 -2012-05-31 16:00:00,69.14894494394954,11.66938241107458 -2012-05-31 17:00:00,68.9914596373817,11.673958960124912 -2012-05-31 18:00:00,68.90671949031261,11.686161536438558 -2012-05-31 19:00:00,68.83824835796135,11.698422233041857 -2012-05-31 20:00:00,68.74272764459373,11.709671014373532 -2012-05-31 21:00:00,68.65012431004229,11.731557034410852 -2012-05-31 22:00:00,68.49656741817311,11.73518450949001 -2012-05-31 23:00:00,68.3616176757693,11.74567134011076 -2012-06-01 00:00:00,68.2603245276206,11.744518662194341 -2012-06-01 01:00:00,68.14193417581063,11.74320175445313 -2012-06-01 02:00:00,68.02502930163041,11.744546652177894 -2012-06-01 03:00:00,67.81849658619197,11.73399866429215 -2012-06-01 04:00:00,67.75798400491325,11.743972999636053 -2012-06-01 05:00:00,67.50540462095512,11.725631079622389 -2012-06-01 06:00:00,67.35330656314191,11.722653054255604 -2012-06-01 07:00:00,67.19771299245686,11.714657756310952 -2012-06-01 08:00:00,67.08388014302588,11.714546235838913 -2012-06-01 09:00:00,66.94295390922423,11.709895509275919 -2012-06-01 10:00:00,66.82915554552788,11.702826768308327 -2012-06-01 11:00:00,66.7615165225401,11.70467815723458 -2012-06-01 12:00:00,66.63210682478808,11.688086161327448 -2012-06-01 13:00:00,66.49973093297811,11.655777811586745 -2012-06-01 14:00:00,66.43316467439695,11.62977244607286 -2012-06-01 15:00:00,66.28788509966527,11.594400429542594 -2012-06-01 16:00:00,66.27566939139159,11.572895508720086 -2012-06-01 17:00:00,66.11408531221919,11.556811050888456 -2012-06-01 18:00:00,65.98481297586433,11.539788217408159 -2012-06-01 19:00:00,65.85381290757886,11.529616912353388 -2012-06-01 20:00:00,65.78587876994638,11.531880202790882 -2012-06-01 21:00:00,65.63540331337674,11.526252002645537 -2012-06-01 22:00:00,65.5058821849228,11.5178812297344 -2012-06-01 23:00:00,65.36796620551124,11.504838851910925 -2012-06-02 00:00:00,65.25537608929257,11.488118411910913 -2012-06-02 01:00:00,65.14946552667905,11.460274387232134 -2012-06-02 02:00:00,65.03434268737438,11.44811392716988 -2012-06-02 03:00:00,64.94507615761898,11.444246326361354 -2012-06-02 04:00:00,64.8436594724633,11.441866026279666 -2012-06-02 05:00:00,64.72064932683682,11.43214267688919 -2012-06-02 06:00:00,64.60918851539537,11.42804163911897 -2012-06-02 07:00:00,64.49983966520497,11.424408399632721 -2012-06-02 08:00:00,64.38874887725133,11.423013570932914 -2012-06-02 09:00:00,64.28659668756669,11.416939867721391 -2012-06-02 10:00:00,64.1908406841988,11.42205332226289 -2012-06-02 11:00:00,64.09529822631197,11.414626796376426 -2012-06-02 12:00:00,64.03089828069834,11.410547692265348 -2012-06-02 13:00:00,63.98362308062274,11.403379816206748 -2012-06-02 14:00:00,63.924102926712024,11.387986481889 -2012-06-02 15:00:00,63.84482852067243,11.368487274990068 -2012-06-02 16:00:00,63.739950152673686,11.333316573082106 -2012-06-02 17:00:00,63.632364881362676,11.307195224424136 -2012-06-02 18:00:00,63.5121850266972,11.270988835228787 -2012-06-02 19:00:00,63.391601166402715,11.209683616668901 -2012-06-02 20:00:00,63.30530708402897,11.139088884036694 -2012-06-02 21:00:00,63.20517774120244,11.070011420621384 -2012-06-02 22:00:00,63.10166636826927,11.015948023716236 -2012-06-02 23:00:00,63.00386812076036,10.948103226809593 -2012-06-03 00:00:00,62.93600882131657,10.898625966257772 -2012-06-03 01:00:00,62.86832265429312,10.855118284863641 -2012-06-03 02:00:00,62.79432628906304,10.809290288336106 -2012-06-03 03:00:00,62.733245767234635,10.774394710698767 -2012-06-03 04:00:00,62.647591644497155,10.730487968384784 -2012-06-03 05:00:00,62.62237116285687,10.708326063994672 -2012-06-03 06:00:00,62.53873239242442,10.686348866308832 -2012-06-03 07:00:00,62.45557321002985,10.662225365017525 -2012-06-03 08:00:00,62.40915104245445,10.648830654897667 -2012-06-03 09:00:00,62.348920494757316,10.625934623964868 -2012-06-03 10:00:00,62.287573061891344,10.608603506743965 -2012-06-03 11:00:00,62.22989869071472,10.594189286433682 -2012-06-03 12:00:00,62.20328574902882,10.5792137256413 -2012-06-03 13:00:00,62.178721270953304,10.562317019230685 -2012-06-03 14:00:00,62.09685339492956,10.538691150952621 -2012-06-03 15:00:00,62.021555791956885,10.512943094425044 -2012-06-03 16:00:00,62.031091762176914,10.500858631995156 -2012-06-03 17:00:00,61.9360455788288,10.472315510281764 -2012-06-03 18:00:00,61.85583364014817,10.415393942596733 -2012-06-03 19:00:00,61.78425313719287,10.367312534356335 -2012-06-03 20:00:00,61.72255623398083,10.318716701888137 -2012-06-03 21:00:00,61.59087050716264,10.27181951387283 -2012-06-03 22:00:00,61.56023367113529,10.251905832058778 -2012-06-03 23:00:00,61.52325374201139,10.23009832611994 -2012-06-04 00:00:00,61.44864083632165,10.208233315719731 -2012-06-04 01:00:00,61.37703503636653,10.184243219799507 -2012-06-04 02:00:00,61.30609164948598,10.15949815688 -2012-06-04 03:00:00,61.32590095207735,10.146257427957316 -2012-06-04 04:00:00,61.36324294074789,10.123483138503941 -2012-06-04 05:00:00,61.41602588975999,10.11025130088446 -2012-06-04 06:00:00,61.430435106105996,10.085924212770857 -2012-06-04 07:00:00,61.456927617203895,10.063456875295381 -2012-06-04 08:00:00,61.458685908941604,10.038097914518659 -2012-06-04 09:00:00,61.49821251317089,10.023204190455951 -2012-06-04 10:00:00,61.49379169876684,10.004944148844968 -2012-06-04 11:00:00,61.509501150792616,9.984089383224802 -2012-06-04 12:00:00,61.48448351082808,9.964448373619673 -2012-06-04 13:00:00,61.44752535388291,9.944755235278144 -2012-06-04 14:00:00,61.4821307891638,9.930188089835855 -2012-06-04 15:00:00,61.48727133970509,9.909366554780725 -2012-06-04 16:00:00,61.434089161863504,9.883776702568456 -2012-06-04 17:00:00,61.42730502329394,9.869372861606498 -2012-06-04 18:00:00,61.39497808241754,9.84997962208976 -2012-06-04 19:00:00,61.38526431746247,9.831226304544678 -2012-06-04 20:00:00,61.39320355847618,9.811657158884554 -2012-06-04 21:00:00,61.37407276996254,9.793998633873136 -2012-06-04 22:00:00,61.34883929653466,9.767498344044016 -2012-06-04 23:00:00,61.44893985323148,9.752332087682118 -2012-06-05 00:00:00,61.46442960715847,9.732640385572978 -2012-06-05 01:00:00,61.49175559223195,9.71314283583219 -2012-06-05 02:00:00,61.559384298071755,9.698591320323937 -2012-06-05 03:00:00,61.50048474924166,9.673713470456914 -2012-06-05 04:00:00,61.52611553808263,9.65810186075801 -2012-06-05 05:00:00,61.54213403347209,9.645076303674303 -2012-06-05 06:00:00,61.52242970835851,9.625408974878342 -2012-06-05 07:00:00,61.5439670472728,9.60787829777694 -2012-06-05 08:00:00,61.46784682835354,9.587264274032748 -2012-06-05 09:00:00,61.2826045770254,9.571625443847065 -2012-06-05 10:00:00,61.01570944384913,9.56055705958306 -2012-06-05 11:00:00,60.79152878368829,9.603839719596017 -2012-06-05 12:00:00,60.534561808458584,9.689959784252437 -2012-06-05 13:00:00,60.21135783732359,9.881969941509162 -2012-06-05 14:00:00,59.82500641506746,10.222814611822205 -2012-06-05 15:00:00,59.47567440173386,10.666380842363234 -2012-06-05 16:00:00,59.118070933357664,11.22572242742436 -2012-06-05 17:00:00,58.74212801399226,11.786834921058796 -2012-06-05 18:00:00,58.526817765280796,12.322000091283858 -2012-06-05 19:00:00,58.32747834594676,12.734098251589728 -2012-06-05 20:00:00,58.13625675898893,13.142009293232741 -2012-06-05 21:00:00,58.01277697204454,13.30709393234479 -2012-06-05 22:00:00,57.74381494667533,13.402103022973463 -2012-06-05 23:00:00,57.60734993566207,13.43407437211892 -2012-06-06 00:00:00,57.439402909694984,13.448088226643513 -2012-06-06 01:00:00,57.27252236224612,13.466257793102635 -2012-06-06 02:00:00,57.04228669238274,13.483319364644018 -2012-06-06 03:00:00,56.910974922028856,13.507196081698948 -2012-06-06 04:00:00,56.720313608570216,13.521076354739236 -2012-06-06 05:00:00,56.634693526457056,13.545248916592692 -2012-06-06 06:00:00,56.50299554147544,13.545850872526469 -2012-06-06 07:00:00,56.430560659417864,13.55775371148133 -2012-06-06 08:00:00,56.26859681924081,13.555676674915597 -2012-06-06 09:00:00,56.088082102908366,13.550050320706537 -2012-06-06 10:00:00,55.973410243588525,13.556087807449615 -2012-06-06 11:00:00,55.6563438751173,13.533236692598653 -2012-06-06 12:00:00,55.46662810501886,13.526959285482256 -2012-06-06 13:00:00,55.30673197312748,13.525546351236141 -2012-06-06 14:00:00,55.151449335594066,13.609520910052614 -2012-06-06 15:00:00,55.04879636914849,13.698834255161236 -2012-06-06 16:00:00,54.95321290808381,13.779945175298659 -2012-06-06 17:00:00,54.86486604543186,13.773668477327185 -2012-06-06 18:00:00,54.76668304594023,13.612819252348299 -2012-06-06 19:00:00,54.66511192163175,13.483991241495271 -2012-06-06 20:00:00,54.59636392384339,13.359666526959815 -2012-06-06 21:00:00,54.48259732011174,13.209523263549947 -2012-06-06 22:00:00,54.37185321787066,13.079536508565578 -2012-06-06 23:00:00,54.205873700037245,12.95791682218987 -2012-06-07 00:00:00,54.02129645192908,12.837723972030146 -2012-06-07 01:00:00,53.84422908438682,12.734039392269247 -2012-06-07 02:00:00,53.70781180727277,12.654546373959088 -2012-06-07 03:00:00,53.51026703038409,12.60008243537223 -2012-06-07 04:00:00,53.35446259527864,12.572120977173345 -2012-06-07 05:00:00,53.215141676992936,12.554044582991498 -2012-06-07 06:00:00,53.064257741614256,12.537983947614805 -2012-06-07 07:00:00,52.904919969845544,12.617506127786019 -2012-06-07 08:00:00,52.76682742960354,12.895341427571125 -2012-06-07 09:00:00,52.55176776762714,13.073841932029087 -2012-06-07 10:00:00,52.378539543882326,13.45558706285347 -2012-06-07 11:00:00,52.17980309381836,14.065864569848245 -2012-06-07 12:00:00,51.85483795782963,14.647864830776166 -2012-06-07 13:00:00,51.61134728666623,15.61220825996505 -2012-06-07 14:00:00,51.386712889378195,17.215222027589064 -2012-06-07 15:00:00,51.131483042870684,18.49906196930977 -2012-06-07 16:00:00,51.00021514196189,21.185691761263957 -2012-06-07 17:00:00,50.927306035370094,23.118303112689066 -2012-06-07 18:00:00,50.76166756332811,24.3555237907466 -2012-06-07 19:00:00,50.57368250964503,25.211853614152417 -2012-06-07 20:00:00,50.43924104098451,26.010660318255983 -2012-06-07 21:00:00,50.264470812529744,26.446682532421843 -2012-06-07 22:00:00,50.20125074510384,27.11140632798716 -2012-06-07 23:00:00,50.084082578727156,27.802450441937637 -2012-06-08 00:00:00,49.936470227928,28.344889618229264 -2012-06-08 01:00:00,49.80551260337245,28.950851111740185 -2012-06-08 02:00:00,49.6658436741112,29.60214602126044 -2012-06-08 03:00:00,49.63069671767773,30.011543294874926 -2012-06-08 04:00:00,49.41270074085561,30.416031373599473 -2012-06-08 05:00:00,49.43047810889898,30.766840564015137 -2012-06-08 06:00:00,49.30670301676003,31.015055799715256 -2012-06-08 07:00:00,49.24014461633896,31.296933768985266 -2012-06-08 08:00:00,49.07585723619123,31.531313321523125 -2012-06-08 09:00:00,49.00499945511681,31.714457135694225 -2012-06-08 10:00:00,48.908681964859134,31.914231708365072 -2012-06-08 11:00:00,48.688401975271404,32.07783513901314 -2012-06-08 12:00:00,48.58233202335974,32.20089179399358 -2012-06-08 13:00:00,48.47944640584696,32.374405654550394 -2012-06-08 14:00:00,48.37305446085762,32.59293333460897 -2012-06-08 15:00:00,48.2232936120533,32.77749471904024 -2012-06-08 16:00:00,48.123395926656805,32.95374714616048 -2012-06-08 17:00:00,48.04778695396013,33.08333418139172 -2012-06-08 18:00:00,47.95586619315129,33.201668748412935 -2012-06-08 19:00:00,47.8648701499896,33.31635114392066 -2012-06-08 20:00:00,47.736321809450786,33.426713695259494 -2012-06-08 21:00:00,47.639218845593206,33.53843198844663 -2012-06-08 22:00:00,47.541367572112755,33.66091964756238 -2012-06-08 23:00:00,47.43167183520621,33.775445970494054 -2012-06-09 00:00:00,47.30813653706106,33.84314909551326 -2012-06-09 01:00:00,47.17617952925724,33.91307123269493 -2012-06-09 02:00:00,47.01768089989511,33.964969436602544 -2012-06-09 03:00:00,46.90327388204592,34.074365709822054 -2012-06-09 04:00:00,46.78419095730581,34.23911817307989 -2012-06-09 05:00:00,46.71205800026436,34.49858382201384 -2012-06-09 06:00:00,46.60044847470271,34.63354564242945 -2012-06-09 07:00:00,46.486413060978414,34.72652680314435 -2012-06-09 08:00:00,46.37431641892124,34.78864142385417 -2012-06-09 09:00:00,46.26499904110723,34.845099044273645 -2012-06-09 10:00:00,46.10883519341413,34.894729633397965 -2012-06-09 11:00:00,46.0039975252399,34.97064499099603 -2012-06-09 12:00:00,45.840824095221784,35.00917368359422 -2012-06-09 13:00:00,45.66108024508565,35.06042133045374 -2012-06-09 14:00:00,45.521858222359974,35.27193294979142 -2012-06-09 15:00:00,45.417463047065404,35.49501963726429 -2012-06-09 16:00:00,45.318337645002664,35.831742528361254 -2012-06-09 17:00:00,45.16234389186889,36.12836694916793 -2012-06-09 18:00:00,45.058265613617735,36.24294723713666 -2012-06-09 19:00:00,44.98677647710565,36.284712122633415 -2012-06-09 20:00:00,44.869104133205084,36.319300141547075 -2012-06-09 21:00:00,44.75948933281711,36.324374747188536 -2012-06-09 22:00:00,44.60732625743279,36.308124731105465 -2012-06-09 23:00:00,44.50485511555301,36.300841528099895 -2012-06-10 00:00:00,44.389541050754005,36.29856561188146 -2012-06-10 01:00:00,44.27411907446838,36.30641765298485 -2012-06-10 02:00:00,44.188959471062184,36.33020525481114 -2012-06-10 03:00:00,44.04195134405734,36.347657298036964 -2012-06-10 04:00:00,43.95929474682394,36.37133578314612 -2012-06-10 05:00:00,43.86710364543068,36.39326657925562 -2012-06-10 06:00:00,43.76234084228833,36.40909519359683 -2012-06-10 07:00:00,43.65421721862908,36.42392114731009 -2012-06-10 08:00:00,43.54721773269278,36.434917267973866 -2012-06-10 09:00:00,43.39048950880025,36.443705503135234 -2012-06-10 10:00:00,43.306454893852774,36.448450941920555 -2012-06-10 11:00:00,43.21673408956879,36.469037561227935 -2012-06-10 12:00:00,43.090878440962726,36.479466777929744 -2012-06-10 13:00:00,42.964170060011995,36.48993722457899 -2012-06-10 14:00:00,42.826764865717514,36.49577135040404 -2012-06-10 15:00:00,42.713184161990746,36.51165591019808 -2012-06-10 16:00:00,42.515238372816526,36.507045881492026 -2012-06-10 17:00:00,42.45745757239777,36.52151272421473 -2012-06-10 18:00:00,42.356611998399465,36.53207593815078 -2012-06-10 19:00:00,42.245566251194255,36.54261312992431 -2012-06-10 20:00:00,42.12800537427441,36.54893728352299 -2012-06-10 21:00:00,42.08963556523987,36.569521237998224 -2012-06-10 22:00:00,41.92203301525861,36.56738921658809 -2012-06-10 23:00:00,41.86476827352798,36.576685599086915 -2012-06-11 00:00:00,41.83519879776395,36.574181774649134 -2012-06-11 01:00:00,41.74551787083048,36.572214990769396 -2012-06-11 02:00:00,41.63433724004116,36.567068442498915 -2012-06-11 03:00:00,41.48876260776696,36.56713438240857 -2012-06-11 04:00:00,41.220248676016226,36.544590714073806 -2012-06-11 05:00:00,41.02377954129361,36.53985327170147 -2012-06-11 06:00:00,40.85461401727925,36.53643122947738 -2012-06-11 07:00:00,40.67028639259056,36.53287497430107 -2012-06-11 08:00:00,40.47314254345984,36.52157431577472 -2012-06-11 09:00:00,40.31700023541629,36.52630842963823 -2012-06-11 10:00:00,40.16127542830599,36.522183483755704 -2012-06-11 11:00:00,39.92624304567099,36.50236326885845 -2012-06-11 12:00:00,39.779931959106776,36.49991605107289 -2012-06-11 13:00:00,39.63296447784367,36.497703577425014 -2012-06-11 14:00:00,39.411254304451404,36.4849710941581 -2012-06-11 15:00:00,39.191572554291284,36.48906580635166 -2012-06-11 16:00:00,38.98102452599461,36.47168822785221 -2012-06-11 17:00:00,38.77963461634998,36.467578919457736 -2012-06-11 18:00:00,38.613964059612606,36.46422537005523 -2012-06-11 19:00:00,38.436893105648174,36.46078140564529 -2012-06-11 20:00:00,38.27205817612537,36.45792569735798 -2012-06-11 21:00:00,38.09160589451651,36.454306972188206 -2012-06-11 22:00:00,37.949205299297994,36.458749172893704 -2012-06-11 23:00:00,37.66954714022452,36.43392028232762 -2012-06-12 00:00:00,37.48908233729267,36.43163698924579 -2012-06-12 01:00:00,37.30273557906943,36.42935369616396 -2012-06-12 02:00:00,37.07622524896668,36.41719403856214 -2012-06-12 03:00:00,36.962258599170355,36.42531701585508 -2012-06-12 04:00:00,36.78800512643285,36.424971915256556 -2012-06-12 05:00:00,36.61715362633867,36.41898713501058 -2012-06-12 06:00:00,36.4423415743716,36.41682989733936 -2012-06-12 07:00:00,36.19396233670832,36.41269386006762 -2012-06-12 08:00:00,36.02538410230891,36.41121463800987 -2012-06-12 09:00:00,35.925089900076564,36.40681624863995 -2012-06-12 10:00:00,35.81535574615673,36.39001417915344 -2012-06-12 11:00:00,35.71792871769822,36.322108113274176 -2012-06-12 12:00:00,35.6200300313889,36.209652549179644 -2012-06-12 13:00:00,35.515803129149035,35.99371655469407 -2012-06-12 14:00:00,35.39881938974796,35.632923288570346 -2012-06-12 15:00:00,35.29029144211261,35.16810050669331 -2012-06-12 16:00:00,35.11927620106765,34.58778054723227 -2012-06-12 17:00:00,35.02959833411332,34.008847302345806 -2012-06-12 18:00:00,34.915149856130896,33.456334320233694 -2012-06-12 19:00:00,34.77529997528778,33.023805558685126 -2012-06-12 20:00:00,34.6637051246339,32.61528596892396 -2012-06-12 21:00:00,34.55566884892901,32.47255649465102 -2012-06-12 22:00:00,34.50985411090191,32.40234953634598 -2012-06-12 23:00:00,34.3822876177254,32.403757761293626 -2012-06-13 00:00:00,34.32041963320466,32.40295693098064 -2012-06-13 01:00:00,34.26450684549643,32.404425433364075 -2012-06-13 02:00:00,34.264186559880855,32.39862160249636 -2012-06-13 03:00:00,34.16905023643691,32.38214977319013 -2012-06-13 04:00:00,34.0944292514047,32.36477274113425 -2012-06-13 05:00:00,33.966154565660965,32.32526166852681 -2012-06-13 06:00:00,33.90167464307289,32.311281897245244 -2012-06-13 07:00:00,33.81964767767088,32.29021946101184 -2012-06-13 08:00:00,33.76098021603019,32.2752866926881 -2012-06-13 09:00:00,33.71686438028105,32.26366579742367 -2012-06-13 10:00:00,33.64026695330016,32.25291278292155 -2012-06-13 11:00:00,33.635063670622955,32.237639469392924 -2012-06-13 12:00:00,33.570951411309,32.22587610562235 -2012-06-13 13:00:00,33.49395927838038,32.20808576823598 -2012-06-13 14:00:00,33.437569602876295,32.089986562265906 -2012-06-13 15:00:00,33.36755654627842,31.95841107955499 -2012-06-13 16:00:00,33.265873225292566,31.789345106238393 -2012-06-13 17:00:00,33.22806115369371,31.674656721537435 -2012-06-13 18:00:00,33.171026292075794,31.625009277660244 -2012-06-13 19:00:00,33.11164856722649,31.586265785450884 -2012-06-13 20:00:00,33.04711158398507,31.547962179296814 -2012-06-13 21:00:00,32.99493325325548,31.543720176466376 -2012-06-13 22:00:00,33.00174660214193,31.557087625019978 -2012-06-13 23:00:00,33.02246193205682,31.580635424590902 -2012-06-14 00:00:00,33.005359892009395,31.638803561239268 -2012-06-14 01:00:00,32.9619898349485,31.702486312859847 -2012-06-14 02:00:00,32.94459689048452,31.74260370545096 -2012-06-14 03:00:00,32.94316772817379,31.751429894772773 -2012-06-14 04:00:00,32.90369875973118,31.753340123215494 -2012-06-14 05:00:00,32.90486389879099,31.746582558440117 -2012-06-14 06:00:00,32.88034728942279,31.71804129610397 -2012-06-14 07:00:00,32.85915252421175,31.605196336437544 -2012-06-14 08:00:00,32.80008454428318,31.283546303221804 -2012-06-14 09:00:00,32.81728941124496,31.07769537724161 -2012-06-14 10:00:00,32.73815581798352,30.651638401582463 -2012-06-14 11:00:00,32.729515923369775,30.021475759180667 -2012-06-14 12:00:00,32.765734989545365,29.40990128964189 -2012-06-14 13:00:00,32.8272043916445,28.41627221770648 -2012-06-14 14:00:00,32.87080408489288,26.781083405241827 -2012-06-14 15:00:00,32.97815303073787,25.480896591145363 -2012-06-14 16:00:00,33.01125937676487,22.77919665562398 -2012-06-14 17:00:00,33.04197700240334,20.836990814918686 -2012-06-14 18:00:00,33.09485199596379,19.58178248559442 -2012-06-14 19:00:00,33.12897505639752,18.701422169386756 -2012-06-14 20:00:00,33.15897877940796,17.88521165874017 -2012-06-14 21:00:00,33.22578517918396,17.42384682444857 -2012-06-14 22:00:00,33.2936236543368,16.74326586381518 -2012-06-14 23:00:00,33.337492367036155,16.014792515460005 -2012-06-15 00:00:00,33.3911480220761,15.467152207364121 -2012-06-15 01:00:00,33.46512184253361,14.856151291201696 -2012-06-15 02:00:00,33.58350597889835,14.20037351707569 -2012-06-15 03:00:00,33.66454793105969,13.795062007862116 -2012-06-15 04:00:00,33.76916700083599,13.381305620599795 -2012-06-15 05:00:00,33.832040985920685,13.038072439910142 -2012-06-15 06:00:00,33.865475840353724,12.786804561921153 -2012-06-15 07:00:00,33.83091485036074,12.501849780619787 -2012-06-15 08:00:00,33.88618204635594,12.259284676074518 -2012-06-15 09:00:00,33.83262425647477,12.070894997573898 -2012-06-15 10:00:00,33.83640435247764,11.872489525111071 -2012-06-15 11:00:00,33.91028204520815,11.679620301302453 -2012-06-15 12:00:00,33.92723962412025,11.553067681871209 -2012-06-15 13:00:00,33.96917613717845,11.378133755135497 -2012-06-15 14:00:00,33.95798119476634,11.149610617342178 -2012-06-15 15:00:00,33.97999455354422,10.960059365862117 -2012-06-15 16:00:00,33.97643401810804,10.785714900439922 -2012-06-15 17:00:00,33.9481384288779,10.645567285131401 -2012-06-15 18:00:00,33.92106773121716,10.523925849639648 -2012-06-15 19:00:00,33.88372792337449,10.405986771260505 -2012-06-15 20:00:00,33.84254047412957,10.278286127867062 -2012-06-15 21:00:00,33.7923083161279,10.17114618622816 -2012-06-15 22:00:00,33.752677762963096,10.041134234159221 -2012-06-15 23:00:00,33.75727383442747,9.925921117781186 -2012-06-16 00:00:00,33.708430803533076,9.867330851859354 -2012-06-16 01:00:00,33.63319378054538,9.795594816171189 -2012-06-16 02:00:00,33.622533778665904,9.758058652067287 -2012-06-16 03:00:00,33.505312406498156,9.640964629229785 -2012-06-16 04:00:00,33.421971536573004,9.490194527911122 -2012-06-16 05:00:00,33.34813086960316,9.24719481837448 -2012-06-16 06:00:00,33.26334305344043,9.116085163864266 -2012-06-16 07:00:00,33.18135733853384,9.026676853287261 -2012-06-16 08:00:00,33.1392043139739,8.979155261275416 -2012-06-16 09:00:00,33.07490372366261,8.938400711293562 -2012-06-16 10:00:00,33.076291106669196,8.891423396445969 -2012-06-16 11:00:00,32.95130688956241,8.818670102765084 -2012-06-16 12:00:00,32.90767821490444,8.789386872499174 -2012-06-16 13:00:00,32.86213587284525,8.7473088181331 -2012-06-16 14:00:00,32.81566120064614,8.54506087114656 -2012-06-16 15:00:00,32.76321210470427,8.333388449664843 -2012-06-16 16:00:00,32.74992643360106,8.016185786142607 -2012-06-16 17:00:00,32.764394509844024,7.724100626998098 -2012-06-16 18:00:00,32.73083996182047,7.620488009949232 -2012-06-16 19:00:00,32.662329499469635,7.59049789428602 -2012-06-16 20:00:00,32.62848943932669,7.5622028025533305 -2012-06-16 21:00:00,32.55889533792071,7.55082511823948 -2012-06-16 22:00:00,32.58608071606255,7.5538128522056756 -2012-06-16 23:00:00,32.470504564836034,7.539158002834029 -2012-06-17 00:00:00,32.43564816357798,7.533403170127477 -2012-06-17 01:00:00,32.39998254111513,7.515724496356812 -2012-06-17 02:00:00,32.324276906964386,7.485628369207046 -2012-06-17 03:00:00,32.28850075301524,7.469488494926785 -2012-06-17 04:00:00,32.23538463308271,7.459425919202878 -2012-06-17 05:00:00,32.184187720183736,7.449876907105844 -2012-06-17 06:00:00,32.14727737697595,7.454622313702418 -2012-06-17 07:00:00,32.11429024257473,7.457072379428646 -2012-06-17 08:00:00,32.0394112105276,7.457590124746199 -2012-06-17 09:00:00,32.05142822259023,7.4741750219733385 -2012-06-17 10:00:00,31.943752865151364,7.497854580056156 -2012-06-17 11:00:00,31.905942523953932,7.541007387022964 -2012-06-17 12:00:00,31.879799095155033,7.670755689226471 -2012-06-17 13:00:00,31.853914804689623,7.792796554872521 -2012-06-17 14:00:00,31.822787347970603,8.051596975529183 -2012-06-17 15:00:00,31.750540932892324,8.572046650352073 -2012-06-17 16:00:00,31.737941802984373,9.299087426300693 -2012-06-17 17:00:00,31.640923065064847,9.842221997661925 -2012-06-17 18:00:00,31.581372647484713,10.081835363985585 -2012-06-17 19:00:00,31.524068660873283,10.265734119466979 -2012-06-17 20:00:00,31.489317487929185,10.463784747602517 -2012-06-17 21:00:00,31.443720265708983,10.63566572941661 -2012-06-17 22:00:00,31.381516724903594,10.854559283994949 -2012-06-17 23:00:00,31.259834822654742,11.076991447393855 -2012-06-18 00:00:00,31.135513795450233,11.265833687254098 -2012-06-18 01:00:00,31.08345662557182,11.450512193862009 -2012-06-18 02:00:00,31.042140685617618,11.713521192144913 -2012-06-18 03:00:00,30.942623675535756,12.048817197410756 -2012-06-18 04:00:00,30.957881292361,12.597139294658923 -2012-06-18 05:00:00,30.904753470610057,13.102016235531085 -2012-06-18 06:00:00,30.858395123939818,13.581806444314566 -2012-06-18 07:00:00,30.81546427709625,14.351996138416919 -2012-06-18 08:00:00,30.77990945623997,15.552286220762392 -2012-06-18 09:00:00,30.686672087587166,16.455974918900065 -2012-06-18 10:00:00,30.63945741156986,17.42421497048352 -2012-06-18 11:00:00,30.662781529848896,18.09002861982942 -2012-06-18 12:00:00,30.640547605931523,18.245346616879104 -2012-06-18 13:00:00,30.627098787224558,18.325620531778984 -2012-06-18 14:00:00,30.629375865906027,18.426919488047375 -2012-06-18 15:00:00,30.639335198687327,18.489906161415778 -2012-06-18 16:00:00,30.65339943641357,18.558704691561225 -2012-06-18 17:00:00,30.63205074715808,18.60036344430572 -2012-06-18 18:00:00,30.58739235549696,18.644462497114844 -2012-06-18 19:00:00,30.54002997382172,18.679686337816538 -2012-06-18 20:00:00,30.488823512288363,18.71134049695088 -2012-06-18 21:00:00,30.468298691967313,18.751508827730394 -2012-06-18 22:00:00,30.44576545411022,18.793762000418415 -2012-06-18 23:00:00,30.434365524031822,18.859020854955823 -2012-06-19 00:00:00,30.3835214232114,18.90490007541787 -2012-06-19 01:00:00,30.360530615648816,18.957387807416016 -2012-06-19 02:00:00,30.399337532988355,19.04100158077733 -2012-06-19 03:00:00,30.396197240178157,19.12488652480662 -2012-06-19 04:00:00,30.3262465674982,19.224865007343727 -2012-06-19 05:00:00,30.26843774928579,19.35362663070195 -2012-06-19 06:00:00,30.226047259493416,19.519284941212476 -2012-06-19 07:00:00,30.191295014333505,19.641183862107777 -2012-06-19 08:00:00,30.13793018763919,19.68071296238219 -2012-06-19 09:00:00,30.116704376843156,19.693421704433433 -2012-06-19 10:00:00,30.09735183379426,19.706304849700818 -2012-06-19 11:00:00,30.081065717135246,19.729468988131018 -2012-06-19 12:00:00,30.04971389142855,19.74776211697115 -2012-06-19 13:00:00,30.03380416487706,19.76054877874249 -2012-06-19 14:00:00,30.055987358327457,19.775371448087423 -2012-06-19 15:00:00,30.043561115614715,19.784970544193335 -2012-06-19 16:00:00,30.0291763174311,19.794410755353965 -2012-06-19 17:00:00,29.997386782037104,19.8101636394035 -2012-06-19 18:00:00,29.95632595242204,19.81990632420726 -2012-06-19 19:00:00,29.948364331930335,19.833341629538104 -2012-06-19 20:00:00,29.892076683697432,19.826160553275116 -2012-06-19 21:00:00,29.8510925487077,19.799348233270624 -2012-06-19 22:00:00,29.762869156881926,19.75837068288636 -2012-06-19 23:00:00,29.714277932492653,19.71832959133419 -2012-06-20 00:00:00,29.653417355315923,19.69687395087567 -2012-06-20 01:00:00,29.59131503820504,19.67020521423417 -2012-06-20 02:00:00,29.527760389618837,19.65143310944889 -2012-06-20 03:00:00,29.486255140044605,19.64149540118251 -2012-06-20 04:00:00,29.391288880256194,19.628761596231158 -2012-06-20 05:00:00,29.39252735501142,19.653233553718756 -2012-06-20 06:00:00,29.346243574990922,19.661466172297388 -2012-06-20 07:00:00,29.302955616823414,19.674280723805218 -2012-06-20 08:00:00,29.243115060032842,19.688564135305057 -2012-06-20 09:00:00,29.1949849831617,19.703316011687814 -2012-06-20 10:00:00,29.171527493405172,19.725838945653752 -2012-06-20 11:00:00,29.200623215150845,19.777304807219632 -2012-06-20 12:00:00,29.223129186641376,19.801352480473746 -2012-06-20 13:00:00,29.23126109250199,19.822740710083906 -2012-06-20 14:00:00,29.19670029993952,19.84788280423456 -2012-06-20 15:00:00,29.1444508512169,19.851019012221556 -2012-06-20 16:00:00,29.057731176796267,19.86303964339321 -2012-06-20 17:00:00,28.989852687536054,19.866110840591062 -2012-06-20 18:00:00,28.930206272895777,19.869567187881604 -2012-06-20 19:00:00,28.874335467044194,19.882500826356054 -2012-06-20 20:00:00,28.822408328898195,19.93201785587059 -2012-06-20 21:00:00,28.775448682648577,19.97851038452514 -2012-06-20 22:00:00,28.663789426205582,20.102406125344796 -2012-06-20 23:00:00,28.64407280944701,20.289139224981852 -2012-06-21 00:00:00,28.58972655718223,20.43013923775345 -2012-06-21 01:00:00,28.567593247666967,20.659287843531754 -2012-06-21 02:00:00,28.47141214455858,20.91254690489812 -2012-06-21 03:00:00,28.43721238270691,21.011110142117012 -2012-06-21 04:00:00,28.27745197028749,21.136590987323174 -2012-06-21 05:00:00,28.21485747159278,21.334120599509696 -2012-06-21 06:00:00,28.15084654969838,21.58397013559962 -2012-06-21 07:00:00,28.095791406085368,21.84200183987748 -2012-06-21 08:00:00,28.060435364743615,22.076420386624914 -2012-06-21 09:00:00,27.97712394308253,22.18789365779854 -2012-06-21 10:00:00,27.87391970701571,22.41265656723648 -2012-06-21 11:00:00,27.813792457566848,22.73978094948438 -2012-06-21 12:00:00,27.77884909267422,23.145876079324314 -2012-06-21 13:00:00,27.759901357713247,23.812087885371863 -2012-06-21 14:00:00,27.73310266462319,24.48669192994818 -2012-06-21 15:00:00,27.636526236268523,24.69389823488466 -2012-06-21 16:00:00,27.51293274918519,24.886390405483525 -2012-06-21 17:00:00,27.358558846136035,25.042912104533603 -2012-06-21 18:00:00,27.279693275551143,25.105437190003535 -2012-06-21 19:00:00,27.203126723458617,25.16349775056238 -2012-06-21 20:00:00,27.09526596089781,25.35317349013357 -2012-06-21 21:00:00,27.052993273443768,25.512978040176826 -2012-06-21 22:00:00,26.91503221884411,25.71135044187721 -2012-06-21 23:00:00,26.819650947743995,25.948057388147998 -2012-06-22 00:00:00,26.725230944503362,26.11763515917296 -2012-06-22 01:00:00,26.625809609877194,26.319183081919352 -2012-06-22 02:00:00,26.52217965872853,26.640422162938282 -2012-06-22 03:00:00,26.399854321175948,27.21991976616046 -2012-06-22 04:00:00,26.32286916185467,28.040627152585298 -2012-06-22 05:00:00,26.225395564688565,28.980768523786516 -2012-06-22 06:00:00,26.18321999106766,30.298594920842717 -2012-06-22 07:00:00,26.162538685217687,32.489803996647446 -2012-06-22 08:00:00,26.115580491651475,34.95681644819909 -2012-06-22 09:00:00,26.164281438962863,35.69339208522992 -2012-06-22 10:00:00,26.23161222881158,36.33141734862926 -2012-06-22 11:00:00,26.305320348612437,36.98729385478633 -2012-06-22 12:00:00,26.51574807155875,37.44797291543812 -2012-06-22 13:00:00,26.659179729824913,38.200085747979266 -2012-06-22 14:00:00,26.748641206410745,39.241624781965164 -2012-06-22 15:00:00,26.77001890939688,39.39187921973042 -2012-06-22 16:00:00,26.806719657502867,39.509337675448656 -2012-06-22 17:00:00,26.800141041099792,39.58327851234507 -2012-06-22 18:00:00,26.762369445140674,39.62386925414104 -2012-06-22 19:00:00,26.720656207553628,39.66666246570033 -2012-06-22 20:00:00,26.663220850877604,39.710951828478215 -2012-06-22 21:00:00,26.643387642446754,39.750758507400846 -2012-06-22 22:00:00,26.590335777006924,39.80503829144121 -2012-06-22 23:00:00,26.53699106052538,39.865417586243204 -2012-06-23 00:00:00,26.505988953750194,39.94473521475608 -2012-06-23 01:00:00,26.502531856156367,40.08416828443835 -2012-06-23 02:00:00,26.477406788799133,40.2990619632058 -2012-06-23 03:00:00,26.472979095866656,40.59717074106141 -2012-06-23 04:00:00,26.40359042787489,41.007241466176865 -2012-06-23 05:00:00,26.355283162381575,41.56974819899746 -2012-06-23 06:00:00,26.347635700781602,42.000343725218684 -2012-06-23 07:00:00,26.340652036886098,42.52736484745927 -2012-06-23 08:00:00,26.312692012892565,43.004621086501174 -2012-06-23 09:00:00,26.27163877926711,43.58823249286894 -2012-06-23 10:00:00,26.228465250372764,44.130023680417764 -2012-06-23 11:00:00,26.281067168939362,44.62118414453393 -2012-06-23 12:00:00,26.284513840963438,45.091093064266 -2012-06-23 13:00:00,26.303476602347025,45.94024023336405 -2012-06-23 14:00:00,26.32360766327981,47.26132255365409 -2012-06-23 15:00:00,26.280701434453235,48.472552459350084 -2012-06-23 16:00:00,26.23964208131601,51.11353845496441 -2012-06-23 17:00:00,26.213595287689948,54.85097761033459 -2012-06-23 18:00:00,26.18602264701829,56.82991089807227 -2012-06-23 19:00:00,26.173240024883917,57.903761387282714 -2012-06-23 20:00:00,26.128464336717535,58.40630460174156 -2012-06-23 21:00:00,26.110192935158377,58.59063889562832 -2012-06-23 22:00:00,26.0639209531788,58.79298552426041 -2012-06-23 23:00:00,26.02012408874616,58.90896330223881 -2012-06-24 00:00:00,25.988051180710663,58.91611237857812 -2012-06-24 01:00:00,25.957317463598915,58.91137140989369 -2012-06-24 02:00:00,25.948145727865764,58.9040561413375 -2012-06-24 03:00:00,25.929268498574952,58.89970665627469 -2012-06-24 04:00:00,25.907197915172958,58.91819298720878 -2012-06-24 05:00:00,25.869970510953486,58.96633695442025 -2012-06-24 06:00:00,25.838311239240266,59.034654713704285 -2012-06-24 07:00:00,25.807013304316083,59.097749833414404 -2012-06-24 08:00:00,25.798488395417984,59.133656249973235 -2012-06-24 09:00:00,25.763124552579686,59.15682008982381 -2012-06-24 10:00:00,25.758922152554963,59.20381383367803 -2012-06-24 11:00:00,25.72397907942906,59.24864694950812 -2012-06-24 12:00:00,25.694606646501505,59.25257951868665 -2012-06-24 13:00:00,25.66674724390306,59.21291424443143 -2012-06-24 14:00:00,25.643820958266947,58.997510947713955 -2012-06-24 15:00:00,25.66175998121015,58.51511806268486 -2012-06-24 16:00:00,25.69042146947041,57.89012467826069 -2012-06-24 17:00:00,25.688709418932586,57.49401159050073 -2012-06-24 18:00:00,25.66893756415984,57.36504171684938 -2012-06-24 19:00:00,25.648997591515144,57.28188180362197 -2012-06-24 20:00:00,25.61882299728129,57.183377248517814 -2012-06-24 21:00:00,25.56652087650954,57.049153053512796 -2012-06-24 22:00:00,25.53128289709683,56.86502727994591 -2012-06-24 23:00:00,25.475941575089017,56.677709053495434 -2012-06-25 00:00:00,25.455693190319998,56.5247206699943 -2012-06-25 01:00:00,25.411653122005482,56.376561311224116 -2012-06-25 02:00:00,25.36147505846781,56.14721985561577 -2012-06-25 03:00:00,25.38780357057926,55.836454460756 -2012-06-25 04:00:00,25.36448364244545,55.32921741079455 -2012-06-25 05:00:00,25.244935435658533,54.81627462580541 -2012-06-25 06:00:00,25.21163901922536,54.346838291183296 -2012-06-25 07:00:00,25.17536632668004,53.59305229721974 -2012-06-25 08:00:00,25.15817449012265,52.417628419297955 -2012-06-25 09:00:00,25.14122689591255,51.5125508752119 -2012-06-25 10:00:00,25.117655256436123,50.55128711204393 -2012-06-25 11:00:00,25.06467496475623,49.902783524300176 -2012-06-25 12:00:00,25.012016690210316,49.74839519273843 -2012-06-25 13:00:00,24.969595931999645,49.670474026463786 -2012-06-25 14:00:00,24.898467234996865,49.575704888198715 -2012-06-25 15:00:00,24.79593125889885,49.50423492364285 -2012-06-25 16:00:00,24.77038792562768,49.45971353469168 -2012-06-25 17:00:00,24.633417392877963,49.39992830177107 -2012-06-25 18:00:00,24.603420373233888,49.35600704096994 -2012-06-25 19:00:00,24.5747201500473,49.320159543465884 -2012-06-25 20:00:00,24.505358696306562,49.28131886755693 -2012-06-25 21:00:00,24.483094346929306,49.24805205303501 -2012-06-25 22:00:00,24.4406142385635,49.2070688544404 -2012-06-25 23:00:00,24.39990635289045,49.15847698399111 -2012-06-26 00:00:00,24.356444272612645,49.127162283427396 -2012-06-26 01:00:00,24.29455575864202,49.091018373638036 -2012-06-26 02:00:00,24.165817174848303,49.02931648255942 -2012-06-26 03:00:00,24.078165654528203,48.95419194016604 -2012-06-26 04:00:00,24.043903970961544,48.86192949076201 -2012-06-26 05:00:00,23.995078050143693,48.75129005090384 -2012-06-26 06:00:00,23.954560365685705,48.60039385782674 -2012-06-26 07:00:00,23.906069089481377,48.493230525277106 -2012-06-26 08:00:00,23.84720242474927,48.46064378155989 -2012-06-26 09:00:00,23.779318673105156,48.4682512690568 -2012-06-26 10:00:00,23.771297486476477,48.50486956556409 -2012-06-26 11:00:00,23.681759669442815,48.71053747226915 -2012-06-26 12:00:00,23.630648533175584,49.071049715395425 -2012-06-26 13:00:00,23.56894924984679,49.42129394444762 -2012-06-26 14:00:00,23.483013805863894,49.67932788272284 -2012-06-26 15:00:00,23.41144863451493,49.84100700105824 -2012-06-26 16:00:00,23.404936371155525,49.97535046434077 -2012-06-26 17:00:00,23.329245288336868,50.05068778718654 -2012-06-26 18:00:00,23.293003059653046,50.11480739178915 -2012-06-26 19:00:00,23.259952111112177,50.206068045172465 -2012-06-26 20:00:00,23.224361772899055,50.32528386323193 -2012-06-26 21:00:00,23.161160259971155,50.375962424229954 -2012-06-26 22:00:00,23.085480734386994,50.40201225649239 -2012-06-26 23:00:00,23.083546027029904,50.41846752473498 -2012-06-27 00:00:00,23.050003615072946,50.43048709192148 -2012-06-27 01:00:00,22.97698128543376,50.44327560073773 -2012-06-27 02:00:00,22.961390498628376,50.581282987103684 -2012-06-27 03:00:00,22.925953365776227,50.6234340807394 -2012-06-27 04:00:00,22.936922168128074,50.65951718346025 -2012-06-27 05:00:00,22.882760001570176,50.668696717570604 -2012-06-27 06:00:00,22.84904368702727,50.67487639277666 -2012-06-27 07:00:00,22.81614717445017,50.67351317574985 -2012-06-27 08:00:00,22.784206069460396,50.66855171055705 -2012-06-27 09:00:00,22.770337295269204,50.66687661531097 -2012-06-27 10:00:00,22.705583597430284,50.64671129577728 -2012-06-27 11:00:00,22.63782061042147,50.63085179414629 -2012-06-27 12:00:00,22.55118022207051,50.62003066382261 -2012-06-27 13:00:00,22.472928656173153,50.611444971815466 -2012-06-27 14:00:00,22.424930218545253,50.602450288722025 -2012-06-27 15:00:00,22.3862319141232,50.602308749708726 -2012-06-27 16:00:00,22.407964279001952,50.606979503075394 -2012-06-27 17:00:00,22.362021245579985,50.609981885881666 -2012-06-27 18:00:00,22.340499739089385,50.60581102652203 -2012-06-27 19:00:00,22.305488843335986,50.58766143937349 -2012-06-27 20:00:00,22.27990330249362,50.537824672395814 -2012-06-27 21:00:00,22.256846916197556,50.47521872307955 -2012-06-27 22:00:00,22.23004293220099,50.32836912193402 -2012-06-27 23:00:00,22.169640707364213,50.12339010397078 -2012-06-28 00:00:00,22.12658381183455,49.92629096509751 -2012-06-28 01:00:00,22.078220598233738,49.63570264684377 -2012-06-28 02:00:00,22.02472843733291,49.3351676434201 -2012-06-28 03:00:00,22.00195849849638,49.244877698380236 -2012-06-28 04:00:00,22.051157773744926,49.10587320190985 -2012-06-28 05:00:00,21.976311789710078,48.923069211899694 -2012-06-28 06:00:00,21.925724112014027,48.68956263033428 -2012-06-28 07:00:00,21.865485775671168,48.44828734055571 -2012-06-28 08:00:00,21.780349337998878,48.233617091476376 -2012-06-28 09:00:00,21.755912121503354,48.13529065510836 -2012-06-28 10:00:00,21.692299541254044,47.931469995178354 -2012-06-28 11:00:00,21.65461015290916,47.62234042794158 -2012-06-28 12:00:00,21.526086697368488,47.23376464395472 -2012-06-28 13:00:00,21.373149113259963,46.58663602646196 -2012-06-28 14:00:00,21.204238141699545,45.9369884957602 -2012-06-28 15:00:00,21.105800584014727,45.74137215125194 -2012-06-28 16:00:00,21.021629277523736,45.564712593307505 -2012-06-28 17:00:00,21.0175433566634,45.42539441419909 -2012-06-28 18:00:00,20.918226235358834,45.37986538610534 -2012-06-28 19:00:00,20.83727407335434,45.34020786762574 -2012-06-28 20:00:00,20.762137336859848,45.16728815687241 -2012-06-28 21:00:00,20.641246913523513,45.026761632652786 -2012-06-28 22:00:00,20.5345391042715,44.839167968394854 -2012-06-28 23:00:00,20.457214769534712,44.644261887253535 -2012-06-29 00:00:00,20.374555666312713,44.49298618673915 -2012-06-29 01:00:00,20.280601784561345,44.30963041621593 -2012-06-29 02:00:00,20.18200434659277,44.006061423572575 -2012-06-29 03:00:00,20.080933986258245,43.44380863194286 -2012-06-29 04:00:00,20.026147106511218,42.63672687250755 -2012-06-29 05:00:00,19.998758045177915,41.72370418628101 -2012-06-29 06:00:00,19.93482854525137,40.42422905963506 -2012-06-29 07:00:00,19.824283329949118,38.24996488897091 -2012-06-29 08:00:00,19.738158270355036,35.802508501316375 -2012-06-29 09:00:00,19.554673474685206,35.08191224457242 -2012-06-29 10:00:00,19.270757020825123,34.4490150206474 -2012-06-29 11:00:00,19.14051400415905,33.832226611320934 -2012-06-29 12:00:00,18.794764805369823,33.39092233009432 -2012-06-29 13:00:00,18.49460254922886,32.65671968271662 -2012-06-29 14:00:00,18.2844296009144,31.638031493840977 -2012-06-29 15:00:00,18.165001086777565,31.50959474537742 -2012-06-29 16:00:00,17.98765845224531,31.4093959381161 -2012-06-29 17:00:00,17.858543133645895,31.3520438153423 -2012-06-29 18:00:00,17.79386678441492,31.329756366111255 -2012-06-29 19:00:00,17.713646084492943,31.295660376952746 -2012-06-29 20:00:00,17.715859614898154,31.283579173188212 -2012-06-29 21:00:00,17.667216652219146,31.25713657473256 -2012-06-29 22:00:00,17.557796148730972,31.207837758245322 -2012-06-29 23:00:00,17.532224621879486,31.16892644407693 -2012-06-30 00:00:00,17.473631263497207,31.088910683028562 -2012-06-30 01:00:00,17.44973061533478,30.97193315768347 -2012-06-30 02:00:00,17.37898654151836,30.756629729486857 -2012-06-30 03:00:00,17.36645690636336,30.489244717425134 -2012-06-30 04:00:00,17.397529728001366,30.075261153987988 -2012-06-30 05:00:00,17.36940370040733,29.523070304995827 -2012-06-30 06:00:00,17.326284815916573,29.10453888190165 -2012-06-30 07:00:00,17.28366944031354,28.589864958929255 -2012-06-30 08:00:00,17.250559909574704,28.11435518345469 -2012-06-30 09:00:00,17.228621481922147,27.532737592863647 -2012-06-30 10:00:00,17.195999928275246,27.002013869748517 -2012-06-30 11:00:00,17.120496335496817,26.521629325022232 -2012-06-30 12:00:00,17.049937662193418,26.05692615627042 -2012-06-30 13:00:00,16.964817161801534,25.213252378858392 -2012-06-30 14:00:00,16.834429631262818,23.892203906905568 -2012-06-30 15:00:00,16.80118089631246,22.688995211967974 -2012-06-30 16:00:00,16.754816941388505,20.04471769967304 -2012-06-30 17:00:00,16.703496727947726,16.318569097575 -2012-06-30 18:00:00,16.6610104822106,14.345074089274783 -2012-06-30 19:00:00,16.607125450887967,13.275946946100095 -2012-06-30 20:00:00,16.564129720996608,12.775221823175732 -2012-06-30 21:00:00,16.534207058142993,12.59992386119859 -2012-06-30 22:00:00,16.479278143483487,12.390870449678134 -2012-06-30 23:00:00,16.518191669590134,12.292285312139565 -2012-07-01 00:00:00,16.482922390702498,12.271317479637494 -2012-07-01 01:00:00,16.44781728301985,12.260965530942205 -2012-07-01 02:00:00,16.4219085401804,12.255652221954266 -2012-07-01 03:00:00,16.38028520429626,12.245763618769775 -2012-07-01 04:00:00,16.349405529169672,12.213378939095026 -2012-07-01 05:00:00,16.32881447079181,12.146680134376776 -2012-07-01 06:00:00,16.303562317553453,12.056449351583995 -2012-07-01 07:00:00,16.278096591266582,11.975655309630636 -2012-07-01 08:00:00,16.23692673043639,11.922397575392415 -2012-07-01 09:00:00,16.176924621289476,11.869607148101414 -2012-07-01 10:00:00,16.17112792579484,11.789155138535497 -2012-07-01 11:00:00,16.15016174337473,11.683535248681485 -2012-07-01 12:00:00,16.112898637037453,11.536681517886674 -2012-07-01 13:00:00,16.074053807350104,11.440927762359339 -2012-07-01 14:00:00,16.063000380593092,11.390352938231574 -2012-07-01 15:00:00,15.993197031965666,11.332922825077066 -2012-07-01 16:00:00,15.906449969540457,11.218828730759956 -2012-07-01 17:00:00,15.84422921618163,11.051717563145742 -2012-07-01 18:00:00,15.796410060490667,10.922601813998435 -2012-07-01 19:00:00,15.750046745173744,10.803425693111278 -2012-07-01 20:00:00,15.707933163063936,10.697787701049974 -2012-07-01 21:00:00,15.654345166779757,10.630105422239083 -2012-07-01 22:00:00,15.671880752194655,10.60428372888535 -2012-07-01 23:00:00,15.645617499168939,10.548309194147425 -2012-07-02 00:00:00,15.613042558995474,10.5137903244463 -2012-07-02 01:00:00,15.582444931271738,10.478740430732605 -2012-07-02 02:00:00,15.604296039979907,10.455039566693122 -2012-07-02 03:00:00,15.521653709564522,10.423454108059 -2012-07-02 04:00:00,15.5075226188935,10.403866660893936 -2012-07-02 05:00:00,15.56145665988094,10.40976115757007 -2012-07-02 06:00:00,15.530618088591169,10.400666612317504 -2012-07-02 07:00:00,15.500359955299256,10.385662635584376 -2012-07-02 08:00:00,15.436945879388906,10.362220995835619 -2012-07-02 09:00:00,15.440510950020526,10.364949093973932 -2012-07-02 10:00:00,15.413101733240694,10.357611385562489 -2012-07-02 11:00:00,15.397128095177672,10.360438155705076 -2012-07-02 12:00:00,15.375830488111722,10.361635139844026 -2012-07-02 13:00:00,15.336698731523143,10.361273513992646 -2012-07-02 14:00:00,15.323869664819133,10.36622771978625 -2012-07-02 15:00:00,15.319647780572145,10.370953496765216 -2012-07-02 16:00:00,15.277864829202354,10.366694910875802 -2012-07-02 17:00:00,15.317674418798067,10.388030916288592 -2012-07-02 18:00:00,15.290493622561149,10.394486439781566 -2012-07-02 19:00:00,15.262437073937171,10.406205187368574 -2012-07-02 20:00:00,15.271372266785917,10.423774788076571 -2012-07-02 21:00:00,15.234663148477491,10.430346041652506 -2012-07-02 22:00:00,15.172423980826247,10.433856119579694 -2012-07-02 23:00:00,15.15677095995636,10.43987391806101 -2012-07-03 00:00:00,15.137504274298783,10.429857055738642 -2012-07-03 01:00:00,15.106878105863414,10.416314743824008 -2012-07-03 02:00:00,15.103880096171457,10.405975754643434 -2012-07-03 03:00:00,15.08360713744012,10.394513940573797 -2012-07-03 04:00:00,15.05636999933734,10.38406206160163 -2012-07-03 05:00:00,15.045807552919397,10.367892679846985 -2012-07-03 06:00:00,15.022257355110646,10.354724112135246 -2012-07-03 07:00:00,15.00056575975423,10.341343142746378 -2012-07-03 08:00:00,14.969654334326915,10.327417991066959 -2012-07-03 09:00:00,14.956559435108241,10.313654607037316 -2012-07-03 10:00:00,14.928312834983288,10.267437042648574 -2012-07-03 11:00:00,14.921531086649354,10.039427995764399 -2012-07-03 12:00:00,14.892570669494528,9.66101131575722 -2012-07-03 13:00:00,14.861741309534137,9.297885092199474 -2012-07-03 14:00:00,14.84342985477056,9.02635001978534 -2012-07-03 15:00:00,14.792949943537822,8.85154200308097 -2012-07-03 16:00:00,14.755879803274691,8.712379077012464 -2012-07-03 17:00:00,14.683554826090605,8.60530465477403 -2012-07-03 18:00:00,14.662157234225075,8.529925188427947 -2012-07-03 19:00:00,14.640320094462394,8.427071454440926 -2012-07-03 20:00:00,14.583317548053328,8.288111810932511 -2012-07-03 21:00:00,14.603007171777111,8.23117957895566 -2012-07-03 22:00:00,14.607400230053845,8.203096867452583 -2012-07-03 23:00:00,14.52816329391122,8.483938263904756 -2012-07-04 00:00:00,14.510980162222559,9.16395831953017 -2012-07-04 01:00:00,14.549521664923628,9.854600742677713 -2012-07-04 02:00:00,14.50046735621153,10.150668983204241 -2012-07-04 03:00:00,14.461216348277212,10.272506154263764 -2012-07-04 04:00:00,14.434990536141372,10.339478709258241 -2012-07-04 05:00:00,14.350062686477756,10.33675542876624 -2012-07-04 06:00:00,14.32753957711862,10.327326801403535 -2012-07-04 07:00:00,14.278601897673017,10.321698164354755 -2012-07-04 08:00:00,14.263353552430944,10.330928389713465 -2012-07-04 09:00:00,14.26117039192822,10.320380529570173 -2012-07-04 10:00:00,14.26171922082011,10.315213085655465 -2012-07-04 11:00:00,14.244203599358585,10.297194532480914 -2012-07-04 12:00:00,14.212864812044888,10.280910967326067 -2012-07-04 13:00:00,14.182097346040461,10.264694026438164 -2012-07-04 14:00:00,14.168806277409129,10.251816570210831 -2012-07-04 15:00:00,14.175768708738682,10.240490165909536 -2012-07-04 16:00:00,14.179145452710854,10.232406253193645 -2012-07-04 17:00:00,14.169062852088402,10.216520090887345 -2012-07-04 18:00:00,14.14604083366389,10.201071604009856 -2012-07-04 19:00:00,14.137371596766764,10.18772222478524 -2012-07-04 20:00:00,14.09731727463245,10.169709317192742 -2012-07-04 21:00:00,14.079338608843118,10.15512162551176 -2012-07-04 22:00:00,14.081853298260162,10.143030234356095 -2012-07-04 23:00:00,14.05958359966121,10.12698089920377 -2012-07-05 00:00:00,14.050195513365308,10.11279881068132 -2012-07-05 01:00:00,14.040800145433638,10.098562623012214 -2012-07-05 02:00:00,14.029851554166802,10.088423827600213 -2012-07-05 03:00:00,14.024150653883128,10.070359283194453 -2012-07-05 04:00:00,13.968409037565658,10.057358443641801 -2012-07-05 05:00:00,13.952000568517056,10.036569914130103 -2012-07-05 06:00:00,13.933927228406626,10.021117466773273 -2012-07-05 07:00:00,13.931244581250173,10.009131266693062 -2012-07-05 08:00:00,13.921551812026385,10.000127510637759 -2012-07-05 09:00:00,13.874552046013509,9.978638417898148 -2012-07-05 10:00:00,13.956992562764757,9.98018690674724 -2012-07-05 11:00:00,13.81227935232143,9.951035118539654 -2012-07-05 12:00:00,13.785577623828617,9.935665925034556 -2012-07-05 13:00:00,13.766476872842427,9.925874179397018 -2012-07-05 14:00:00,13.736300224157251,9.931901098123541 -2012-07-05 15:00:00,13.723432670053263,9.954214259760663 -2012-07-05 16:00:00,13.69909466853436,10.051612048383728 -2012-07-05 17:00:00,13.663860136865678,10.134657253542557 -2012-07-05 18:00:00,13.648612725832226,10.165533349664265 -2012-07-05 19:00:00,13.607431663830102,10.190209176730864 -2012-07-05 20:00:00,13.603260213540807,10.214472200224378 -2012-07-05 21:00:00,13.550729195402132,10.204904668378544 -2012-07-05 22:00:00,13.568588217562986,10.198579600326067 -2012-07-05 23:00:00,13.544594096572023,10.178351657185049 -2012-07-06 00:00:00,13.510232501336777,10.181050273481603 -2012-07-06 01:00:00,13.47201362479275,10.183361514401444 -2012-07-06 02:00:00,13.451306854408521,10.187527975801343 -2012-07-06 03:00:00,13.421982520267031,10.192375386066871 -2012-07-06 04:00:00,13.384172932091163,10.20448798219899 -2012-07-06 05:00:00,13.263876999213911,10.194061517857648 -2012-07-06 06:00:00,13.207152326254809,10.19688215468104 -2012-07-06 07:00:00,13.187150567482398,10.201493438181448 -2012-07-06 08:00:00,13.167754217321493,10.206539350138758 -2012-07-06 09:00:00,13.142424255982707,10.209532317338388 -2012-07-06 10:00:00,13.207964259471991,10.22821024770581 -2012-07-06 11:00:00,13.093794982879329,10.22154105289436 -2012-07-06 12:00:00,13.072880951241428,10.28927115793065 -2012-07-06 13:00:00,13.051283574448284,10.481624322066558 -2012-07-06 14:00:00,13.013760361281381,10.840987203939509 -2012-07-06 15:00:00,12.991012824662793,11.231879133721577 -2012-07-06 16:00:00,12.98279201087581,11.892956363834024 -2012-07-06 17:00:00,13.017617068494422,12.67489583694894 -2012-07-06 18:00:00,13.008038255224822,13.320498485434216 -2012-07-06 19:00:00,13.023469338127265,14.017616092620436 -2012-07-06 20:00:00,13.004521479974768,14.787479991422046 -2012-07-06 21:00:00,12.92714982589183,15.17684692103564 -2012-07-06 22:00:00,12.99352115697431,15.669164453140993 -2012-07-06 23:00:00,12.881319383371455,16.215404752830096 -2012-07-07 00:00:00,12.874573432605905,16.97402347321941 -2012-07-07 01:00:00,12.833964176276705,17.943226010346297 -2012-07-07 02:00:00,12.814097734179361,19.08881688494891 -2012-07-07 03:00:00,12.786281272305233,19.745763795401253 -2012-07-07 04:00:00,12.765717369278587,20.562882432953582 -2012-07-07 05:00:00,12.673748528024863,21.138369138898323 -2012-07-07 06:00:00,12.650656896163557,21.549291387811373 -2012-07-07 07:00:00,12.627253407720985,22.061061975496187 -2012-07-07 08:00:00,12.607041164820767,23.292668327121717 -2012-07-07 09:00:00,12.549869107238786,24.24608048331655 -2012-07-07 10:00:00,12.476725439067918,25.477772110013646 -2012-07-07 11:00:00,12.47174635984298,26.449666785283316 -2012-07-07 12:00:00,12.447615378807212,27.250420866682592 -2012-07-07 13:00:00,12.426290496595355,28.404137163965178 -2012-07-07 14:00:00,12.412574361152311,29.821149510155916 -2012-07-07 15:00:00,12.380279404725144,30.846841657173538 -2012-07-07 16:00:00,12.306661523477201,32.08465128977982 -2012-07-07 17:00:00,12.269821567754681,33.671977147177266 -2012-07-07 18:00:00,12.23967263880299,35.65486667118206 -2012-07-07 19:00:00,12.210543738765203,37.59021838653927 -2012-07-07 20:00:00,12.1705703370559,38.916588434751276 -2012-07-07 21:00:00,12.152993182436086,39.7055864975033 -2012-07-07 22:00:00,12.159697736403002,41.05618290318054 -2012-07-07 23:00:00,12.130290480759182,42.77581497979391 -2012-07-08 00:00:00,12.108411583965356,44.21511383175374 -2012-07-08 01:00:00,12.086679813499808,45.48036631730716 -2012-07-08 02:00:00,12.038027897109641,46.359649734031066 -2012-07-08 03:00:00,12.044923068970322,46.593410540164925 -2012-07-08 04:00:00,11.986323247053823,46.80874755073888 -2012-07-08 05:00:00,11.945897593941336,46.943782029463996 -2012-07-08 06:00:00,11.916683353770072,47.013901904435045 -2012-07-08 07:00:00,11.887974637364595,47.06216838221238 -2012-07-08 08:00:00,11.873441079070895,47.1217009604346 -2012-07-08 09:00:00,11.880295119491182,47.19509540236462 -2012-07-08 10:00:00,11.844327820864699,47.27253469515714 -2012-07-08 11:00:00,11.80026260911089,47.348579701379506 -2012-07-08 12:00:00,11.780988150181486,47.424118817959595 -2012-07-08 13:00:00,11.76326056047402,47.49727589598183 -2012-07-08 14:00:00,11.716714035577143,47.54220825635479 -2012-07-08 15:00:00,11.733591243857925,47.57882714049119 -2012-07-08 16:00:00,11.738979171181816,47.61858602570896 -2012-07-08 17:00:00,11.725683741558449,47.65672297806325 -2012-07-08 18:00:00,11.713109038994597,47.6905348566333 -2012-07-08 19:00:00,11.699429034921433,47.72540695559646 -2012-07-08 20:00:00,11.69641381971757,47.75431128443076 -2012-07-08 21:00:00,11.723660231884102,47.797134079726995 -2012-07-08 22:00:00,11.680919455088253,47.812902954319014 -2012-07-08 23:00:00,11.66649950972437,47.850811945819956 -2012-07-09 00:00:00,11.65232667666967,47.88042593576285 -2012-07-09 01:00:00,11.63677552030383,47.90998010442479 -2012-07-09 02:00:00,11.583785711458425,47.9365869818191 -2012-07-09 03:00:00,11.555610907261299,47.96199514304138 -2012-07-09 04:00:00,11.540304616955586,47.992085645968665 -2012-07-09 05:00:00,11.504241015073518,48.02112207562156 -2012-07-09 06:00:00,11.491204595940525,48.04986496848208 -2012-07-09 07:00:00,11.449925813678338,48.07619102876439 -2012-07-09 08:00:00,11.471870728885685,48.115103253844254 -2012-07-09 09:00:00,11.400492450606889,48.13180565059979 -2012-07-09 10:00:00,11.339416964751937,48.14866095302018 -2012-07-09 11:00:00,11.296486569670932,48.18041017968862 -2012-07-09 12:00:00,11.266314695968955,48.207082905688374 -2012-07-09 13:00:00,11.260048973825118,48.23665290388429 -2012-07-09 14:00:00,11.230585265118803,48.26244814164408 -2012-07-09 15:00:00,11.225529940840953,48.289355019047825 -2012-07-09 16:00:00,11.193100227823633,48.31652999854677 -2012-07-09 17:00:00,11.183994999451631,48.341198432494444 -2012-07-09 18:00:00,11.174636013534421,48.365875218444735 -2012-07-09 19:00:00,11.16492880272498,48.38604552109335 -2012-07-09 20:00:00,11.125462496015418,48.404777799043565 -2012-07-09 21:00:00,11.111335382062045,48.42563892381348 -2012-07-09 22:00:00,11.084724255863765,48.44648137848958 -2012-07-09 23:00:00,11.051641720898669,48.47544748827395 -2012-07-10 00:00:00,11.021629118685048,48.50116755155453 -2012-07-10 01:00:00,10.992080810216997,48.52873980392724 -2012-07-10 02:00:00,10.966230684228837,48.55868999735859 -2012-07-10 03:00:00,10.90667583924979,48.58174530391588 -2012-07-10 04:00:00,10.919064815993805,48.615663099751046 -2012-07-10 05:00:00,10.881426677506864,48.6486449116396 -2012-07-10 06:00:00,10.85125836357798,48.67861202058784 -2012-07-10 07:00:00,10.821683184049464,48.708772397741114 -2012-07-10 08:00:00,10.80706215624782,48.743734463868414 -2012-07-10 09:00:00,10.764836764100938,48.76925343863223 -2012-07-10 10:00:00,10.702526636391624,48.79003961746439 -2012-07-10 11:00:00,10.657768929620186,48.82544490676573 -2012-07-10 12:00:00,10.630838578139059,48.85657094964647 -2012-07-10 13:00:00,10.623458905195383,48.890300723080585 -2012-07-10 14:00:00,10.582096207922381,48.92199656828442 -2012-07-10 15:00:00,10.5498371811117,48.9513975983645 -2012-07-10 16:00:00,10.530080581435335,48.98290570982168 -2012-07-10 17:00:00,10.580724787964597,49.0348907452917 -2012-07-10 18:00:00,10.553629099632548,49.06730206154574 -2012-07-10 19:00:00,10.545175970538736,49.10572381103706 -2012-07-10 20:00:00,10.540928767765218,49.163964293044515 -2012-07-10 21:00:00,10.509386490789593,49.236884216115136 -2012-07-10 22:00:00,10.54372156710776,49.35663892557361 -2012-07-10 23:00:00,10.501087457521514,49.171769315078016 -2012-07-11 00:00:00,10.477256823483891,48.53551821783583 -2012-07-11 01:00:00,10.43715882771661,47.887909092308114 -2012-07-11 02:00:00,10.435444582725598,47.48683130556242 -2012-07-11 03:00:00,10.401575313928785,47.318602321900975 -2012-07-11 04:00:00,10.38976223854541,47.22338322774707 -2012-07-11 05:00:00,10.40567934706155,47.200090834868355 -2012-07-11 06:00:00,10.38010261124479,47.194748455417354 -2012-07-11 07:00:00,10.399641970594596,47.198312349291115 -2012-07-11 08:00:00,10.372001971041957,47.19867655445795 -2012-07-11 09:00:00,10.340278525791465,47.21449321326825 -2012-07-11 10:00:00,10.288590582884474,47.22523877888273 -2012-07-11 11:00:00,10.271217741180665,47.233097507599 -2012-07-11 12:00:00,10.253689746099226,47.23874425321438 -2012-07-11 13:00:00,10.256024002882246,47.244306592586945 -2012-07-11 14:00:00,10.230348592146457,47.24321534479788 -2012-07-11 15:00:00,10.175048239684175,47.239893031873464 -2012-07-11 16:00:00,10.170804168503183,47.242736408645506 -2012-07-11 17:00:00,10.113621825182163,47.2313858486327 -2012-07-11 18:00:00,10.086825706802708,47.23133258490053 -2012-07-11 19:00:00,10.061640164836989,47.23147653696199 -2012-07-11 20:00:00,10.071934719254717,47.2364837075617 -2012-07-11 21:00:00,10.014418101878293,47.23621952774343 -2012-07-11 22:00:00,10.021152683908628,47.2445677550932 -2012-07-11 23:00:00,10.011083777904389,47.2480832851424 -2012-07-12 00:00:00,10.021959408195167,47.25939015426408 -2012-07-12 01:00:00,10.049515689334946,47.27551592447964 -2012-07-12 02:00:00,10.1185158140033,47.2934921033278 -2012-07-12 03:00:00,10.094383200020024,47.297751675388525 -2012-07-12 04:00:00,10.159551389942417,47.313247260713496 -2012-07-12 05:00:00,10.18060021313421,47.31361967480279 -2012-07-12 06:00:00,10.216863455855307,47.32125807158166 -2012-07-12 07:00:00,10.203160206551738,47.32589571555985 -2012-07-12 08:00:00,10.197811125650405,47.32719315349277 -2012-07-12 09:00:00,10.199731118304749,47.3341661668549 -2012-07-12 10:00:00,10.187379878354681,47.33451050000487 -2012-07-12 11:00:00,10.26032727339232,47.347941179947995 -2012-07-12 12:00:00,10.249344037070776,47.34948139256038 -2012-07-12 13:00:00,10.235839869330837,47.345955633196404 -2012-07-12 14:00:00,10.243957792706238,47.330897851744155 -2012-07-12 15:00:00,10.203361547134628,47.2905941796028 -2012-07-12 16:00:00,10.22363462297991,47.18362304515458 -2012-07-12 17:00:00,10.214638965997032,47.090277035793704 -2012-07-12 18:00:00,10.19016168800732,47.0484703246747 -2012-07-12 19:00:00,10.191286148362819,47.02626035637336 -2012-07-12 20:00:00,10.15685021792957,47.03007169123858 -2012-07-12 21:00:00,10.16666333390259,47.130739630147914 -2012-07-12 22:00:00,10.13892735080147,47.387039216919824 -2012-07-12 23:00:00,10.127105195840372,47.983047330361885 -2012-07-13 00:00:00,10.117498596935185,48.39232540948984 -2012-07-13 01:00:00,10.10866370444225,48.74420758111352 -2012-07-13 02:00:00,10.09265638025794,49.113557295932075 -2012-07-13 03:00:00,10.08726482883329,49.52191267009538 -2012-07-13 04:00:00,10.039307217239843,49.94249350393515 -2012-07-13 05:00:00,10.055746757477184,50.35967512954636 -2012-07-13 06:00:00,10.054644632340215,50.7881532203423 -2012-07-13 07:00:00,10.034296009835272,51.08859441562143 -2012-07-13 08:00:00,10.016976805606562,51.39414898021237 -2012-07-13 09:00:00,10.01090625111202,51.69733369374933 -2012-07-13 10:00:00,10.001857116093097,52.02986206210494 -2012-07-13 11:00:00,10.049283433973477,52.37107214673753 -2012-07-13 12:00:00,10.02850943240533,52.64315283618239 -2012-07-13 13:00:00,10.008808745874479,52.97413880192713 -2012-07-13 14:00:00,10.00863414394992,53.40708410809537 -2012-07-13 15:00:00,9.963650739147225,53.97962322653047 -2012-07-13 16:00:00,9.9574946908371,54.79493414430613 -2012-07-13 17:00:00,9.871537483660573,55.87980865650552 -2012-07-13 18:00:00,9.841693476734587,57.676907828037365 -2012-07-13 19:00:00,9.818034403107541,60.10907806280796 -2012-07-13 20:00:00,9.78725668037869,64.78282497037057 -2012-07-13 21:00:00,9.794694006715265,68.60858944307871 -2012-07-13 22:00:00,9.768045672873313,73.1891252550854 -2012-07-13 23:00:00,9.787118626578355,77.1191637058622 -2012-07-14 00:00:00,9.784448252880864,79.49675251831356 -2012-07-14 01:00:00,9.781944235682845,81.39254317264005 -2012-07-14 02:00:00,9.78359933072653,84.20223371945907 -2012-07-14 03:00:00,9.776471673588091,87.47352571182911 -2012-07-14 04:00:00,9.721777941017962,91.81116833751271 -2012-07-14 05:00:00,9.748161936522344,97.06472380381005 -2012-07-14 06:00:00,9.738460408793795,102.01261224722317 -2012-07-14 07:00:00,9.729087001825931,107.33309831749956 -2012-07-14 08:00:00,9.693691875649781,111.44707918447462 -2012-07-14 09:00:00,9.712731360895416,115.76305128682617 -2012-07-14 10:00:00,9.750073097255841,121.17647714576016 -2012-07-14 11:00:00,9.710030623409795,126.7302063535733 -2012-07-14 12:00:00,9.700602258168972,133.13473520206284 -2012-07-14 13:00:00,9.693218582784183,140.6405108557458 -2012-07-14 14:00:00,9.692547273678972,147.55983776871366 -2012-07-14 15:00:00,9.672269843047513,151.18877454053683 -2012-07-14 16:00:00,9.680772750759976,157.51925375913942 -2012-07-14 17:00:00,9.67648136766724,162.54487195706847 -2012-07-14 18:00:00,9.668030151102188,165.7027370792215 -2012-07-14 19:00:00,9.658289640135125,169.66338863968886 -2012-07-14 20:00:00,9.658366539313242,173.84430792530645 -2012-07-14 21:00:00,9.638720587304958,174.67729377876202 -2012-07-14 22:00:00,9.592262490003321,177.52631570530943 -2012-07-14 23:00:00,9.581677886551912,177.7405482901545 -2012-07-15 00:00:00,9.563583559097419,176.96568938305046 -2012-07-15 01:00:00,9.544736485602963,175.90519740568774 -2012-07-15 02:00:00,9.549889093275056,175.16325382626772 -2012-07-15 03:00:00,9.53817283020625,175.0243534343717 -2012-07-15 04:00:00,9.52350089417357,174.89509157791912 -2012-07-15 05:00:00,9.486701962417284,174.83207968380583 -2012-07-15 06:00:00,9.467610418924528,174.84836327286197 -2012-07-15 07:00:00,9.448100123054656,174.88640660843626 -2012-07-15 08:00:00,9.420680027938117,174.93627180836458 -2012-07-15 09:00:00,9.396212517879917,174.97169037959625 -2012-07-15 10:00:00,9.366628983607733,175.03068271547082 -2012-07-15 11:00:00,9.358339543543003,175.32581545307255 -2012-07-15 12:00:00,9.340444423670021,175.92264337851987 -2012-07-15 13:00:00,9.322585688889669,176.60580572063452 -2012-07-15 14:00:00,9.305984017493884,176.977825693976 -2012-07-15 15:00:00,9.283073055070245,177.23040495269282 -2012-07-15 16:00:00,9.292166421691038,177.49493670839962 -2012-07-15 17:00:00,9.275300335184419,177.75810721067484 -2012-07-15 18:00:00,9.265831301587522,178.0029369067363 -2012-07-15 19:00:00,9.257490537918871,178.22820730389537 -2012-07-15 20:00:00,9.21338131178625,178.44517325955488 -2012-07-15 21:00:00,9.18919483705364,178.65079175188143 -2012-07-15 22:00:00,9.196451077732275,178.8577354000072 -2012-07-15 23:00:00,9.152106676540408,179.034738417462 -2012-07-16 00:00:00,9.124170302788155,179.23854991689524 -2012-07-16 01:00:00,9.096248912845155,179.4375467224292 -2012-07-16 02:00:00,9.097660139856258,179.63329927707613 -2012-07-16 03:00:00,9.118179030586873,179.83150644811607 -2012-07-16 04:00:00,9.04785243020361,180.01944089371943 -2012-07-16 05:00:00,9.042394095925584,180.2131377701333 -2012-07-16 06:00:00,9.012805666607155,180.41190088536894 -2012-07-16 07:00:00,9.011949102609353,180.61835460554067 -2012-07-16 08:00:00,8.986642735250307,180.82890246768247 -2012-07-16 09:00:00,9.003270236327067,181.04944596935667 -2012-07-16 10:00:00,8.985788485956839,181.2803511473709 -2012-07-16 11:00:00,8.990566024422181,181.50185001436924 -2012-07-16 12:00:00,8.978819772906173,181.73307959473078 -2012-07-16 13:00:00,8.94458386606199,181.9655423760979 -2012-07-16 14:00:00,8.92292374196949,182.20493843413706 -2012-07-16 15:00:00,8.863396306523235,182.44380293060144 -2012-07-16 16:00:00,8.851881136493022,182.69343830559248 -2012-07-16 17:00:00,8.804436799019022,182.9344527809292 -2012-07-16 18:00:00,8.778175269728257,183.1861482504478 -2012-07-16 19:00:00,8.757985072039547,183.44095279811026 -2012-07-16 20:00:00,8.77003849710752,183.70420788358663 -2012-07-16 21:00:00,8.74643020317765,183.9620661581798 -2012-07-16 22:00:00,8.78114884481937,184.23408546489023 -2012-07-16 23:00:00,8.806038738238204,184.50271558282623 -2012-07-17 00:00:00,8.836407449703898,184.76867172263806 -2012-07-17 01:00:00,8.85835218964399,185.03650261173283 -2012-07-17 02:00:00,8.868470328286435,185.30624231358703 -2012-07-17 03:00:00,8.866318324608802,185.5747865260187 -2012-07-17 04:00:00,8.852725143553668,185.84713490918375 -2012-07-17 05:00:00,8.811191339227566,186.11241020437114 -2012-07-17 06:00:00,8.805112418608623,186.3893440091506 -2012-07-17 07:00:00,8.796529544395948,186.66833435698467 -2012-07-17 08:00:00,8.813291687872097,186.95395717567374 -2012-07-17 09:00:00,8.817692921741388,187.23485747184574 -2012-07-17 10:00:00,8.798939999653136,187.52865750185228 -2012-07-17 11:00:00,8.810703631627362,187.81015657314336 -2012-07-17 12:00:00,8.814347135190303,188.09749994754958 -2012-07-17 13:00:00,8.795442218067688,188.38361141597105 -2012-07-17 14:00:00,8.790524219934971,188.67299128351252 -2012-07-17 15:00:00,8.823200865443109,188.96697254513774 -2012-07-17 16:00:00,8.785871484793457,189.2564823559234 -2012-07-17 17:00:00,8.79858795970845,189.5460070334708 -2012-07-17 18:00:00,8.806804005672875,189.83809762508878 -2012-07-17 19:00:00,8.794215849773128,190.12487120976422 -2012-07-17 20:00:00,8.788276030826166,190.3989037599559 -2012-07-17 21:00:00,8.770097327096423,190.64859784855378 -2012-07-17 22:00:00,8.74651724612768,190.85557570245257 -2012-07-17 23:00:00,8.729020226141612,191.05160677155087 -2012-07-18 00:00:00,8.721974542660178,191.30587203363086 -2012-07-18 01:00:00,8.712985191109095,191.560537602814 -2012-07-18 02:00:00,8.67681700628046,191.83614301680288 -2012-07-18 03:00:00,8.695891729178044,192.15294772834284 -2012-07-18 04:00:00,8.63418353814106,192.46265226589452 -2012-07-18 05:00:00,8.663035631162009,192.78874812272934 -2012-07-18 06:00:00,8.64838863790683,193.10936888312636 -2012-07-18 07:00:00,8.626722469925262,193.42458973656844 -2012-07-18 08:00:00,8.610607340684691,193.72684956820282 -2012-07-18 09:00:00,8.567136174461574,194.0269455156215 -2012-07-18 10:00:00,8.570144242082021,194.34337641201293 -2012-07-18 11:00:00,8.557999572600556,194.65953533153828 -2012-07-18 12:00:00,8.537267974736809,194.97936313503178 -2012-07-18 13:00:00,8.497007236963245,195.29877322138805 -2012-07-18 14:00:00,8.472208950113687,195.6262499860174 -2012-07-18 15:00:00,8.472887917169547,195.9505156510757 -2012-07-18 16:00:00,8.439182442575438,196.2775742601121 -2012-07-18 17:00:00,8.457989527327213,196.6104688444489 -2012-07-18 18:00:00,8.439951494261294,196.93478459344797 -2012-07-18 19:00:00,8.420463721717846,197.25845661024584 -2012-07-18 20:00:00,8.373370106053043,197.57888348717077 -2012-07-18 21:00:00,8.377951699599466,197.90031589814402 -2012-07-18 22:00:00,8.320471692258577,198.20519997537278 -2012-07-18 23:00:00,8.30741217296225,198.53858860063477 -2012-07-19 00:00:00,8.251186880173238,198.84214168753047 -2012-07-19 01:00:00,8.177828685949235,199.14077060524588 -2012-07-19 02:00:00,8.072065993982669,199.43997081404046 -2012-07-19 03:00:00,8.04144195678314,199.74947373395656 -2012-07-19 04:00:00,7.967275241941925,200.05677718266432 -2012-07-19 05:00:00,7.882835602306759,200.36447854825 -2012-07-19 06:00:00,7.809022115965214,200.6720575908755 -2012-07-19 07:00:00,7.769217306243035,200.97845749664907 -2012-07-19 08:00:00,7.73868843488241,201.2901697972508 -2012-07-19 09:00:00,7.719997586987471,201.60005655775797 -2012-07-19 10:00:00,7.68672837392652,201.91380437409438 -2012-07-19 11:00:00,7.6608582082213035,202.22716896123953 -2012-07-19 12:00:00,7.645801804337999,202.53961777429714 -2012-07-19 13:00:00,7.611958641124968,202.84884080561432 -2012-07-19 14:00:00,7.571379576433615,203.15585209125933 -2012-07-19 15:00:00,7.545186646230875,203.46505006580026 -2012-07-19 16:00:00,7.517716329799378,203.7761631861794 -2012-07-19 17:00:00,7.495011593904226,204.08051107215206 -2012-07-19 18:00:00,7.475942338824585,204.38595432619317 -2012-07-19 19:00:00,7.456170812162268,204.67755281783445 -2012-07-19 20:00:00,7.4379180509934635,204.93993244199626 -2012-07-19 21:00:00,7.419720130420237,205.14392995919152 -2012-07-19 22:00:00,7.387239528940703,205.17727651274558 -2012-07-19 23:00:00,7.352780782104437,204.89850981553647 -2012-07-20 00:00:00,7.343520953508834,204.7721033601918 -2012-07-20 01:00:00,7.333695891564513,204.70322557135876 -2012-07-20 02:00:00,7.3158042490668995,204.61621788032318 -2012-07-20 03:00:00,7.27839116911744,204.48421201371374 -2012-07-20 04:00:00,7.26809861955373,204.3394688426917 -2012-07-20 05:00:00,7.2474013027607365,204.2078235023478 -2012-07-20 06:00:00,7.223075306800675,204.05865082733868 -2012-07-20 07:00:00,7.217995808208587,204.0401844624402 -2012-07-20 08:00:00,7.188109537895114,204.02242345444014 -2012-07-20 09:00:00,7.195815283651516,204.00263060331773 -2012-07-20 10:00:00,7.158646630489396,203.99791419789688 -2012-07-20 11:00:00,7.132120719513085,204.02382217538317 -2012-07-20 12:00:00,7.11934408953459,204.2002469983938 -2012-07-20 13:00:00,7.102943559467355,204.32441488106048 -2012-07-20 14:00:00,7.07564299811951,203.94701862812587 -2012-07-20 15:00:00,7.072989458345652,203.2891987499591 -2012-07-20 16:00:00,7.059362575119969,202.11402150032802 -2012-07-20 17:00:00,7.0696052733012955,200.5386441920379 -2012-07-20 18:00:00,7.054822458009437,198.37533932701 -2012-07-20 19:00:00,7.040039642717579,195.53454515251653 -2012-07-20 20:00:00,7.010927303979383,190.36500693531562 -2012-07-20 21:00:00,7.0104740121338605,186.42402084537383 -2012-07-20 22:00:00,6.996816809505991,181.64038924381202 -2012-07-20 23:00:00,7.007089827089505,177.4385533461987 -2012-07-21 00:00:00,6.988439967784602,174.4508066438468 -2012-07-21 01:00:00,6.9708259461800965,171.72327586912365 -2012-07-21 02:00:00,6.959402817948094,167.92423693160717 -2012-07-21 03:00:00,6.9387245461856155,164.13981343786693 -2012-07-21 04:00:00,6.950007255220666,159.14357031294895 -2012-07-21 05:00:00,6.974612862752009,153.45491601840402 -2012-07-21 06:00:00,6.965043002470886,148.247550261658 -2012-07-21 07:00:00,6.955633110986117,142.57795472289962 -2012-07-21 08:00:00,6.944337144358629,137.40590809542118 -2012-07-21 09:00:00,6.935751349580805,132.31056789874353 -2012-07-21 10:00:00,6.9167282673051425,125.86982039169541 -2012-07-21 11:00:00,6.938459641218808,119.63852402788196 -2012-07-21 12:00:00,6.930575591365557,112.7869691401447 -2012-07-21 13:00:00,6.929084278900709,104.50869675051878 -2012-07-21 14:00:00,6.932622068044384,96.86223008881171 -2012-07-21 15:00:00,6.921442297755658,92.67392809332267 -2012-07-21 16:00:00,6.911485107008293,85.65165522359513 -2012-07-21 17:00:00,6.898438609572648,79.35342987189246 -2012-07-21 18:00:00,6.888970905290912,74.46429778953012 -2012-07-21 19:00:00,6.880123568094563,68.79948930968145 -2012-07-21 20:00:00,6.879059572372742,63.48458248586572 -2012-07-21 21:00:00,6.862285737253347,62.01800001336771 -2012-07-21 22:00:00,6.871464075362133,58.003763138395044 -2012-07-21 23:00:00,6.843967164703254,56.23936632004568 -2012-07-22 00:00:00,6.834579444819695,55.761451173532116 -2012-07-22 01:00:00,6.825202065894577,55.72990339618057 -2012-07-22 02:00:00,6.800845434124469,55.76161014717907 -2012-07-22 03:00:00,6.777565095212787,55.84180104883186 -2012-07-22 04:00:00,6.792497047584737,55.92719341487399 -2012-07-22 05:00:00,6.78949571983386,55.996335367641905 -2012-07-22 06:00:00,6.780338199094817,56.071357594260526 -2012-07-22 07:00:00,6.771419283674209,56.146079359833614 -2012-07-22 08:00:00,6.761400043256978,56.197131853056206 -2012-07-22 09:00:00,6.751965522216504,56.25356044569043 -2012-07-22 10:00:00,6.765257534193348,56.28408518622773 -2012-07-22 11:00:00,6.734851565051997,56.065714756493314 -2012-07-22 12:00:00,6.7252378283031025,55.555354319231 -2012-07-22 13:00:00,6.715624091554206,54.960940751218175 -2012-07-22 14:00:00,6.71816321222302,54.71030624826772 -2012-07-22 15:00:00,6.696396618056414,54.58338571056975 -2012-07-22 16:00:00,6.689000699512821,54.46314197434129 -2012-07-22 17:00:00,6.675761870775239,54.33941993455687 -2012-07-22 18:00:00,6.670168213292697,54.243818806099995 -2012-07-22 19:00:00,6.656829489922626,54.160713470882435 -2012-07-22 20:00:00,6.6612840043434005,54.08712471337103 -2012-07-22 21:00:00,6.6526404473725975,54.02539472288533 -2012-07-22 22:00:00,6.63273347488616,53.966023750618035 -2012-07-22 23:00:00,6.644784624396748,53.92847354548388 -2012-07-23 00:00:00,6.644939853666112,53.86345910006102 -2012-07-23 01:00:00,6.64537586287587,53.8044286719979 -2012-07-23 02:00:00,6.625698659960454,53.75017603925996 -2012-07-23 03:00:00,6.6051604361064005,53.69179962216105 -2012-07-23 04:00:00,6.629328542506504,53.644994734779665 -2012-07-23 05:00:00,6.609671106965514,53.59193141908224 -2012-07-23 06:00:00,6.617947668607735,53.53405319418937 -2012-07-23 07:00:00,6.627800888753298,53.46806448399431 -2012-07-23 08:00:00,6.61853303981195,53.390621430466474 -2012-07-23 09:00:00,6.6088989533618,53.306798561394714 -2012-07-23 10:00:00,6.623097551792218,53.22137853198369 -2012-07-23 11:00:00,6.608594220674201,53.133463835371096 -2012-07-23 12:00:00,6.617340948180533,53.04288812356912 -2012-07-23 13:00:00,6.628711726451309,52.95289093237477 -2012-07-23 14:00:00,6.646954461110981,52.85862340245073 -2012-07-23 15:00:00,6.695930427148648,52.75957838404419 -2012-07-23 16:00:00,6.719269173107515,52.63466314277551 -2012-07-23 17:00:00,6.7733167472355005,52.52799389896879 -2012-07-23 18:00:00,6.776621603139421,52.41118388930375 -2012-07-23 19:00:00,6.789189728631052,52.293154592680835 -2012-07-23 20:00:00,6.779484129837929,52.16709676913564 -2012-07-23 21:00:00,6.79239956095086,52.04235843387622 -2012-07-23 22:00:00,6.771368786262797,51.909138874287244 -2012-07-23 23:00:00,6.741065144443199,51.77203805949705 -2012-07-24 00:00:00,6.725099267214596,51.640011177155536 -2012-07-24 01:00:00,6.719538731685401,51.50360729557528 -2012-07-24 02:00:00,6.739116397513159,51.367107321042624 -2012-07-24 03:00:00,6.824441388524173,51.22907270139752 -2012-07-24 04:00:00,6.915960324522562,51.09200998577796 -2012-07-24 05:00:00,7.0716842904325405,50.93954299620106 -2012-07-24 06:00:00,7.278734303965245,50.79519195335099 -2012-07-24 07:00:00,7.597186404387804,50.64806763270156 -2012-07-24 08:00:00,7.957424652847856,50.496382890404995 -2012-07-24 09:00:00,8.260103982124544,50.342216463326196 -2012-07-24 10:00:00,8.60259322731591,50.191381402307556 -2012-07-24 11:00:00,8.814259627167663,50.03448049921024 -2012-07-24 12:00:00,8.953754618572209,49.87634431940119 -2012-07-24 13:00:00,9.07411328780291,49.716394959119704 -2012-07-24 14:00:00,9.200042395684328,49.55526100687034 -2012-07-24 15:00:00,9.319314112742358,49.39247382892558 -2012-07-24 16:00:00,9.428674710747563,49.23005211958297 -2012-07-24 17:00:00,9.47459968605402,49.065204229351565 -2012-07-24 18:00:00,9.494240246426122,48.90615640760815 -2012-07-24 19:00:00,9.519964346726871,48.74623403868594 -2012-07-24 20:00:00,9.557302255434342,48.58589507207458 -2012-07-24 21:00:00,9.568538035738372,48.418683823654334 -2012-07-24 22:00:00,9.584002491749176,48.2486664042146 -2012-07-24 23:00:00,9.657394285383278,48.08404956860188 -2012-07-25 00:00:00,9.728532334864896,47.92176359334398 -2012-07-25 01:00:00,9.75349119677517,47.75608088817667 -2012-07-25 02:00:00,9.794045963513613,47.59511089320881 -2012-07-25 03:00:00,9.80037523544867,47.4237426410316 -2012-07-25 04:00:00,9.847251036293567,47.26169290650368 -2012-07-25 05:00:00,9.841420176231386,47.09303381093597 -2012-07-25 06:00:00,9.844333152288884,46.924776814403344 -2012-07-25 07:00:00,9.839464132536394,46.753551011450355 -2012-07-25 08:00:00,9.863925770661854,46.587168984908466 -2012-07-25 09:00:00,9.877655247271253,46.41970459759027 -2012-07-25 10:00:00,9.890848152219093,46.233501474402594 -2012-07-25 11:00:00,9.892131883676063,46.067825687493084 -2012-07-25 12:00:00,9.922877577492239,45.89952462343452 -2012-07-25 13:00:00,9.944820281420167,45.73185101453381 -2012-07-25 14:00:00,9.971418739094908,45.560344493016125 -2012-07-25 15:00:00,10.01453432574841,45.39196512789551 -2012-07-25 16:00:00,10.043381837285915,45.21799260100611 -2012-07-25 17:00:00,10.09149618778482,45.04961077459435 -2012-07-25 18:00:00,10.125920681683848,44.87983454402697 -2012-07-25 19:00:00,10.139722199669425,44.709791755100774 -2012-07-25 20:00:00,10.164596614083042,44.54418190049492 -2012-07-25 21:00:00,10.169278003686808,44.37467727521233 -2012-07-25 22:00:00,10.199697092858816,44.217758196680016 -2012-07-25 23:00:00,10.229173418347377,44.04112229846946 -2012-07-26 00:00:00,10.255734920209544,43.957195645662864 -2012-07-26 01:00:00,10.273401942272471,43.87224057761239 -2012-07-26 02:00:00,10.289228368198497,43.784982098445745 -2012-07-26 03:00:00,10.287747295417544,43.69398820873941 -2012-07-26 04:00:00,10.305231480917287,43.60730888647856 -2012-07-26 05:00:00,10.344299297773704,43.52676230694411 -2012-07-26 06:00:00,10.368014880092428,43.44027774662618 -2012-07-26 07:00:00,10.39848417411551,43.353417613006926 -2012-07-26 08:00:00,10.452337431690179,43.26942653861645 -2012-07-26 09:00:00,10.487166472520894,43.17840139512368 -2012-07-26 10:00:00,10.541243579065979,43.08754372425077 -2012-07-26 11:00:00,10.56367574760024,42.99669055623152 -2012-07-26 12:00:00,10.617529520343851,42.908187114986404 -2012-07-26 13:00:00,10.681424168289023,42.81967920777694 -2012-07-26 14:00:00,10.759342331752535,42.73354530321097 -2012-07-26 15:00:00,10.81619487337615,42.65205966848404 -2012-07-26 16:00:00,10.85370195123431,42.595393073448456 -2012-07-26 17:00:00,10.851559330840436,42.56429520917076 -2012-07-26 18:00:00,10.86968331930685,42.50783128613391 -2012-07-26 19:00:00,10.87759693389586,42.451310483547566 -2012-07-26 20:00:00,10.889254272707065,42.40082166960576 -2012-07-26 21:00:00,10.88317181682356,42.338721632379226 -2012-07-26 22:00:00,10.893291027849664,42.347407594962185 -2012-07-26 23:00:00,10.868861396521643,42.297387455829494 -2012-07-27 00:00:00,10.860581835108126,42.216857940589676 -2012-07-27 01:00:00,10.851792626931955,42.132992250417885 -2012-07-27 02:00:00,10.844315105130006,42.04983586135883 -2012-07-27 03:00:00,10.846780646408117,41.97029619572224 -2012-07-27 04:00:00,10.849866787140575,41.88737062320277 -2012-07-27 05:00:00,10.844622900344728,41.80431658820886 -2012-07-27 06:00:00,10.838970380954313,41.72649985615378 -2012-07-27 07:00:00,10.842194846004134,41.656779833144476 -2012-07-27 08:00:00,10.837172254308987,41.5827360683678 -2012-07-27 09:00:00,10.83371311498707,41.51787012158274 -2012-07-27 10:00:00,10.824822350047853,41.39508211904022 -2012-07-27 11:00:00,10.829550278592526,41.24193941049316 -2012-07-27 12:00:00,10.826509561870557,40.93345267129987 -2012-07-27 13:00:00,10.826773345560493,40.492666361045586 -2012-07-27 14:00:00,10.83142224291837,40.28397895764478 -2012-07-27 15:00:00,10.823864853198808,40.17967502217169 -2012-07-27 16:00:00,10.794828090964076,40.08726440562465 -2012-07-27 17:00:00,10.79901068776726,40.00538521250025 -2012-07-27 18:00:00,10.793632872582224,39.93192447796054 -2012-07-27 19:00:00,10.795901787798545,39.864457895838385 -2012-07-27 20:00:00,10.792741719492396,39.79121609915314 -2012-07-27 21:00:00,10.792781403620362,39.7218676209535 -2012-07-27 22:00:00,10.7903820827813,39.65396717755555 -2012-07-27 23:00:00,10.786594538967764,39.58646816177238 -2012-07-28 00:00:00,10.780461940267418,39.64511314323428 -2012-07-28 01:00:00,10.774274387218275,39.70163214951993 -2012-07-28 02:00:00,10.769582852570752,39.74094527679999 -2012-07-28 03:00:00,10.759737042249528,39.78821947912742 -2012-07-28 04:00:00,10.738563066249856,39.82540552742658 -2012-07-28 05:00:00,10.727445727923143,39.86796539797863 -2012-07-28 06:00:00,10.716870040760613,39.907107383699 -2012-07-28 07:00:00,10.705711647791105,39.93509002899219 -2012-07-28 08:00:00,10.711521759032491,39.952700571599564 -2012-07-28 09:00:00,10.683807019618001,39.96567844015859 -2012-07-28 10:00:00,10.680882860480166,39.953237616858516 -2012-07-28 11:00:00,10.671199574888282,39.85320049966242 -2012-07-28 12:00:00,10.66121656933322,39.69727352160586 -2012-07-28 13:00:00,10.642796136533718,39.51299661601201 -2012-07-28 14:00:00,10.631218126197838,39.02397136854923 -2012-07-28 15:00:00,10.630445055795388,38.748584431100056 -2012-07-28 16:00:00,10.623392157157282,38.399100446110545 -2012-07-28 17:00:00,10.617867607502872,38.26819450524708 -2012-07-28 18:00:00,10.608559326916945,38.20693383458936 -2012-07-28 19:00:00,10.59993088966339,38.1661449319224 -2012-07-28 20:00:00,10.59292035364361,38.16109841765336 -2012-07-28 21:00:00,10.583180520229986,38.19794643517847 -2012-07-28 22:00:00,10.571295700212428,38.21520205648993 -2012-07-28 23:00:00,10.582065044697876,38.23085222760071 -2012-07-29 00:00:00,10.57392886713308,38.2499457648955 -2012-07-29 01:00:00,10.567445158582492,38.282349737672575 -2012-07-29 02:00:00,10.56942732232923,38.313664893649836 -2012-07-29 03:00:00,10.555476655041064,38.34741531100902 -2012-07-29 04:00:00,10.548532074412952,38.38486969077501 -2012-07-29 05:00:00,10.56000409788455,38.444695193114164 -2012-07-29 06:00:00,10.556042320841073,38.48741726779037 -2012-07-29 07:00:00,10.551199555062142,38.5301030874084 -2012-07-29 08:00:00,10.55484977027655,38.5761581727043 -2012-07-29 09:00:00,10.540529269619446,38.61466545549581 -2012-07-29 10:00:00,10.540327880316042,38.64973732273292 -2012-07-29 11:00:00,10.546665205132014,38.702055177968134 -2012-07-29 12:00:00,10.545040026673796,38.74433546033326 -2012-07-29 13:00:00,10.534199468598283,38.785259642917865 -2012-07-29 14:00:00,10.528966972354674,38.822741607958655 -2012-07-29 15:00:00,10.521589503268103,38.86274723997066 -2012-07-29 16:00:00,10.500550262634386,38.89171539611889 -2012-07-29 17:00:00,10.496927434686361,38.91848183078417 -2012-07-29 18:00:00,10.48463474244529,38.94204024534582 -2012-07-29 19:00:00,10.47848251643414,38.97162796779028 -2012-07-29 20:00:00,10.472233374951143,38.993689625180664 -2012-07-29 21:00:00,10.44474952286167,39.02484335581047 -2012-07-29 22:00:00,10.450826397921428,39.057537190938454 -2012-07-29 23:00:00,10.455741953003747,39.07079533051119 -2012-07-30 00:00:00,10.450382902703634,39.10189421209644 -2012-07-30 01:00:00,10.445269233314644,39.13124669634169 -2012-07-30 02:00:00,10.44354752591241,39.159674520254896 -2012-07-30 03:00:00,10.452620179296154,39.19602391438144 -2012-07-30 04:00:00,10.46075228476096,39.22339816682215 -2012-07-30 05:00:00,10.441888917776183,39.24743240092822 -2012-07-30 06:00:00,10.441407775443707,39.2754315594767 -2012-07-30 07:00:00,10.447464986700657,39.306205065629506 -2012-07-30 08:00:00,10.464679001251126,39.33322566739956 -2012-07-30 09:00:00,10.492092435673129,39.37452225838667 -2012-07-30 10:00:00,10.513765275026012,39.390009715790555 -2012-07-30 11:00:00,10.552065061630664,39.428372441216325 -2012-07-30 12:00:00,10.55802377629344,39.4567158386844 -2012-07-30 13:00:00,10.567885538106093,39.48144528690863 -2012-07-30 14:00:00,10.579107741619287,39.503207226070735 -2012-07-30 15:00:00,10.589305162539565,39.53171439725519 -2012-07-30 16:00:00,10.613707655533391,39.578107076214195 -2012-07-30 17:00:00,10.590100105083083,39.60516224593735 -2012-07-30 18:00:00,10.623614671737302,39.636442424757206 -2012-07-30 19:00:00,10.647907849599779,39.66523549878065 -2012-07-30 20:00:00,10.674007377754156,39.69584383419664 -2012-07-30 21:00:00,10.662146662590521,39.72514116565987 -2012-07-30 22:00:00,10.669610915950509,39.755334612856245 -2012-07-30 23:00:00,10.648601757107814,39.788181745553004 -2012-07-31 00:00:00,10.618128948352691,39.75801843194765 -2012-07-31 01:00:00,10.585461984532886,39.73014163415362 -2012-07-31 02:00:00,10.517283773886541,39.69693306203536 -2012-07-31 03:00:00,10.431728632720944,39.67181378620141 -2012-07-31 04:00:00,10.314623594920496,39.69671219974529 -2012-07-31 05:00:00,10.176225653759417,39.866749652864236 -2012-07-31 06:00:00,9.959699057863611,39.93403819285188 -2012-07-31 07:00:00,9.633806601839693,39.96184040856498 -2012-07-31 08:00:00,9.254787730311762,39.99323074218401 -2012-07-31 09:00:00,8.917527945390654,39.98993621080724 -2012-07-31 10:00:00,8.59354020318868,40.00075525379494 -2012-07-31 11:00:00,8.357757538287057,40.05501761011028 -2012-07-31 12:00:00,8.198631027622836,40.22747766149383 -2012-07-31 13:00:00,8.061489874707679,40.381826760539234 -2012-07-31 14:00:00,7.924221785927462,40.38963012298465 -2012-07-31 15:00:00,7.768358921786329,40.368552350977254 -2012-07-31 16:00:00,7.668940230060305,40.38326724929597 -2012-07-31 17:00:00,7.578024694739169,40.52796244020917 -2012-07-31 18:00:00,7.5325296812017335,40.785065388735084 -2012-07-31 19:00:00,7.48213676755796,41.05370393630438 -2012-07-31 20:00:00,7.43793945473804,41.264068661878476 -2012-07-31 21:00:00,7.408691252971803,41.38818879215004 -2012-07-31 22:00:00,7.389088098205628,41.54795705793872 -2012-07-31 23:00:00,7.326040527458142,41.70827424966348 -2012-08-01 00:00:00,7.243097061926214,41.79748044678999 -2012-08-01 01:00:00,7.211203282842016,41.917286174563685 -2012-08-01 02:00:00,7.1645549863550055,42.002036814193644 -2012-08-01 03:00:00,7.143614315769759,42.04267765914771 -2012-08-01 04:00:00,7.120632630225773,42.0688287353627 -2012-08-01 05:00:00,7.105902294064965,42.079139824794815 -2012-08-01 06:00:00,7.094147558804096,42.060870947374674 -2012-08-01 07:00:00,7.079079448827738,42.03946281760153 -2012-08-01 08:00:00,7.048810388963428,42.02074972695421 -2012-08-01 09:00:00,7.036191958665675,42.00114626885101 -2012-08-01 10:00:00,7.019124525690716,41.992122179253265 -2012-08-01 11:00:00,6.98813739854432,41.97020182555679 -2012-08-01 12:00:00,6.950118513758029,41.95020717414579 -2012-08-01 13:00:00,6.922323878659157,41.92816094017026 -2012-08-01 14:00:00,6.898461255590667,41.907879048615186 -2012-08-01 15:00:00,6.840587589522091,41.883170678982005 -2012-08-01 16:00:00,6.807035345816811,41.86395380024885 -2012-08-01 17:00:00,6.734999913823987,41.8415135121853 -2012-08-01 18:00:00,6.692272717573114,41.81954711554021 -2012-08-01 19:00:00,6.674348475584861,41.8020510651962 -2012-08-01 20:00:00,6.64796391734708,41.78114690151345 -2012-08-01 21:00:00,6.63346375211455,41.760462461589455 -2012-08-01 22:00:00,6.600349504179178,41.73679325314169 -2012-08-01 23:00:00,6.568230674868973,41.71270963618125 -2012-08-02 00:00:00,6.533681393712271,41.611203072877 -2012-08-02 01:00:00,6.507949845736332,41.510751467781326 -2012-08-02 02:00:00,6.495679758164346,41.40651174995397 -2012-08-02 03:00:00,6.477552187383709,41.31605367614854 -2012-08-02 04:00:00,6.450345983939482,41.215380518055696 -2012-08-02 05:00:00,6.431774179016471,41.10557512606 -2012-08-02 06:00:00,6.400537505309077,41.00742552724308 -2012-08-02 07:00:00,6.363072028868166,40.9105420611635 -2012-08-02 08:00:00,6.314070769648958,40.80718563467136 -2012-08-02 09:00:00,6.259345611068531,40.71880147343378 -2012-08-02 10:00:00,6.190334812273705,40.62501128860638 -2012-08-02 11:00:00,6.156866340356376,40.534564744942095 -2012-08-02 12:00:00,6.091315283375312,40.44057332980412 -2012-08-02 13:00:00,6.0158353233849615,40.36868189357317 -2012-08-02 14:00:00,5.942852352004903,40.36866939907454 -2012-08-02 15:00:00,5.8838056923540725,40.32627788843788 -2012-08-02 16:00:00,5.836913042454566,40.29712668712332 -2012-08-02 17:00:00,5.817443898515756,40.19753701417758 -2012-08-02 18:00:00,5.794211269246276,40.09148293476149 -2012-08-02 19:00:00,5.77800116570425,39.97888768042923 -2012-08-02 20:00:00,5.765633561773415,39.85795596585295 -2012-08-02 21:00:00,5.763186315178967,39.75222200182475 -2012-08-02 22:00:00,5.74711823971709,39.59301973516281 -2012-08-02 23:00:00,5.7783501791225085,39.44976451253773 -2012-08-03 00:00:00,5.778654933174685,39.362698381822696 -2012-08-03 01:00:00,5.780291657038529,39.27757680248526 -2012-08-03 02:00:00,5.780392806365579,39.18672944835525 -2012-08-03 03:00:00,5.773812814023442,39.10478004981765 -2012-08-03 04:00:00,5.796787469721622,39.025941655396096 -2012-08-03 05:00:00,5.800448601180523,38.92954072642666 -2012-08-03 06:00:00,5.808648082939254,38.84475879959285 -2012-08-03 07:00:00,5.804782027773487,38.74778813065254 -2012-08-03 08:00:00,5.804223807009728,38.64432830481011 -2012-08-03 09:00:00,5.798459259305133,38.54448426638085 -2012-08-03 10:00:00,5.811423859205073,38.452167550855236 -2012-08-03 11:00:00,5.792746979085191,38.359281581747105 -2012-08-03 12:00:00,5.789767058338254,38.268694480484825 -2012-08-03 13:00:00,5.786534253841462,38.178970962611764 -2012-08-03 14:00:00,5.776502040796076,38.08789328555009 -2012-08-03 15:00:00,5.780104571152533,38.00197333069739 -2012-08-03 16:00:00,5.797038957297668,37.913360510986216 -2012-08-03 17:00:00,5.792959304793264,37.827633303420384 -2012-08-03 18:00:00,5.796021278937324,37.740313244238784 -2012-08-03 19:00:00,5.791482002137655,37.64762565874668 -2012-08-03 20:00:00,5.7939289055311,37.56021233826584 -2012-08-03 21:00:00,5.790421868293808,37.47025493217047 -2012-08-03 22:00:00,5.784322114025074,37.382212074348104 -2012-08-03 23:00:00,5.7898204912992925,37.29419119477874 -2012-08-04 00:00:00,5.785617281630483,37.210537282271616 -2012-08-04 01:00:00,5.781469026310468,37.127998680227584 -2012-08-04 02:00:00,5.7837208756559795,37.04903693344451 -2012-08-04 03:00:00,5.773117561321645,36.96813043755735 -2012-08-04 04:00:00,5.780331158491153,36.89131381776628 -2012-08-04 05:00:00,5.776847660826716,36.815783869464596 -2012-08-04 06:00:00,5.777965700957531,36.741722148684 -2012-08-04 07:00:00,5.779088084419475,36.66855499786666 -2012-08-04 08:00:00,5.770584129506523,36.59512397835164 -2012-08-04 09:00:00,5.782062770082577,36.5253172225569 -2012-08-04 10:00:00,5.779923586837114,36.45633873027563 -2012-08-04 11:00:00,5.759907193879172,36.39028096060415 -2012-08-04 12:00:00,5.76140754589129,36.33053508613382 -2012-08-04 13:00:00,5.761732877659412,36.29342026728705 -2012-08-04 14:00:00,5.760449461928526,36.2461396470993 -2012-08-04 15:00:00,5.7635346754361505,36.17342741616722 -2012-08-04 16:00:00,5.7641295817211855,36.106918119672 -2012-08-04 17:00:00,5.761602860458368,36.055306352607936 -2012-08-04 18:00:00,5.76165453347405,36.013724639212306 -2012-08-04 19:00:00,5.762597300113408,35.982114824108024 -2012-08-04 20:00:00,5.7569834633869785,35.94636836892864 -2012-08-04 21:00:00,5.761501486744718,35.8768364165109 -2012-08-04 22:00:00,5.7538043142445785,35.8179016103135 -2012-08-04 23:00:00,5.748617018534512,35.75718665535326 -2012-08-05 00:00:00,5.746120642030932,35.737367474160465 -2012-08-05 01:00:00,5.743154777097639,35.7130699239277 -2012-08-05 02:00:00,5.7281866680848905,35.6970311323249 -2012-08-05 03:00:00,5.734469736305487,35.673706715174724 -2012-08-05 04:00:00,5.713190335031718,35.65151102552493 -2012-08-05 05:00:00,5.7045418197113,35.64199687556119 -2012-08-05 06:00:00,5.6982375043133535,35.62570680714805 -2012-08-05 07:00:00,5.692634154718621,35.6126675331512 -2012-08-05 08:00:00,5.677488028643218,35.60449312161179 -2012-08-05 09:00:00,5.682592232346231,35.590149397564105 -2012-08-05 10:00:00,5.655076465581619,35.58709409205692 -2012-08-05 11:00:00,5.659946608485651,35.55009994094361 -2012-08-05 12:00:00,5.651619056316963,35.52887295399375 -2012-08-05 13:00:00,5.652162511893407,35.507325484515015 -2012-08-05 14:00:00,5.636771286868411,35.513153686619674 -2012-08-05 15:00:00,5.644522644097612,35.494042508952795 -2012-08-05 16:00:00,5.640480643386913,35.49379485582564 -2012-08-05 17:00:00,5.628890444193887,35.543373247064004 -2012-08-05 18:00:00,5.627176216921077,35.82584847238711 -2012-08-05 19:00:00,5.626375869739557,36.3696955214469 -2012-08-05 20:00:00,5.612281742677418,37.34251301012029 -2012-08-05 21:00:00,5.624135537993478,38.168942073428326 -2012-08-05 22:00:00,5.608096506386678,39.25942567847545 -2012-08-05 23:00:00,5.589491916887941,40.19880839860755 -2012-08-06 00:00:00,5.580853775127188,40.51300639890447 -2012-08-06 01:00:00,5.571931082239766,40.81991404965097 -2012-08-06 02:00:00,5.560406985803354,41.55932894470288 -2012-08-06 03:00:00,5.552169687460219,42.37259987522654 -2012-08-06 04:00:00,5.53112944939926,43.333935901583835 -2012-08-06 05:00:00,5.540977033219104,43.918636006428976 -2012-08-06 06:00:00,5.519184736647223,44.077273971729035 -2012-08-06 07:00:00,5.4897888421156065,44.16505433238878 -2012-08-06 08:00:00,5.448902122862925,44.314769136992496 -2012-08-06 09:00:00,5.4133734032233995,44.49725213519366 -2012-08-06 10:00:00,5.379446658914765,44.80687915355943 -2012-08-06 11:00:00,5.313783717702387,45.17620503718261 -2012-08-06 12:00:00,5.279338047205384,45.53934015841696 -2012-08-06 13:00:00,5.238476135020755,46.07589472901652 -2012-08-06 14:00:00,5.187610520334711,46.8979188721324 -2012-08-06 15:00:00,5.13470347795134,47.94651314675707 -2012-08-06 16:00:00,5.061848557816696,49.61161091769789 -2012-08-06 17:00:00,5.023458906603136,51.66941627371613 -2012-08-06 18:00:00,4.968007449889134,53.792800678909984 -2012-08-06 19:00:00,4.90796328136451,56.15907899714534 -2012-08-06 20:00:00,4.8448978100475095,58.83463023557545 -2012-08-06 21:00:00,4.823774985294384,60.9056365201363 -2012-08-06 22:00:00,4.784755053342536,62.53282251020662 -2012-08-06 23:00:00,4.769014870647357,63.78268315337986 -2012-08-07 00:00:00,4.76161316577442,64.6326215612218 -2012-08-07 01:00:00,4.7545964794006,65.33170812554782 -2012-08-07 02:00:00,4.7467911091810056,66.06344876254946 -2012-08-07 03:00:00,4.748274933191635,66.91136624387522 -2012-08-07 04:00:00,4.733842542067218,68.12734594698664 -2012-08-07 05:00:00,4.726839652290945,69.51995578361918 -2012-08-07 06:00:00,4.7186972846826505,71.02998988535714 -2012-08-07 07:00:00,4.712154973031305,72.64704586041607 -2012-08-07 08:00:00,4.703517503926795,75.13787168530112 -2012-08-07 09:00:00,4.697119980975722,77.24017503605398 -2012-08-07 10:00:00,4.700478359425827,79.64190530831044 -2012-08-07 11:00:00,4.690001654069226,81.57402225742187 -2012-08-07 12:00:00,4.682586705163302,83.64829144868233 -2012-08-07 13:00:00,4.6746141893236155,86.77596046832208 -2012-08-07 14:00:00,4.6728423897481015,90.62960312172763 -2012-08-07 15:00:00,4.667034488339555,93.9590206240216 -2012-08-07 16:00:00,4.65557271981238,97.53521607542396 -2012-08-07 17:00:00,4.63522048207993,101.17502412262601 -2012-08-07 18:00:00,4.629406892116372,104.79482425661467 -2012-08-07 19:00:00,4.624291770275251,109.20952404557038 -2012-08-07 20:00:00,4.611044216669737,114.96725350670067 -2012-08-07 21:00:00,4.6076986926015255,121.17003339382744 -2012-08-07 22:00:00,4.587095337992456,127.65944617401038 -2012-08-07 23:00:00,4.590281343816289,133.38888976533562 -2012-08-08 00:00:00,4.581447963924827,137.75026564548722 -2012-08-08 01:00:00,4.569687753226624,141.7707968106655 -2012-08-08 02:00:00,4.563018893620051,146.34796141527454 -2012-08-08 03:00:00,4.551342138612286,148.92128870073722 -2012-08-08 04:00:00,4.5363341951447085,150.86034844821089 -2012-08-08 05:00:00,4.523184882393065,151.77207046626586 -2012-08-08 06:00:00,4.5190298974152805,152.31099775802522 -2012-08-08 07:00:00,4.514053439373025,152.6678610370869 -2012-08-08 08:00:00,4.505852717583187,152.9174994166133 -2012-08-08 09:00:00,4.510212011753123,153.09477446883872 -2012-08-08 10:00:00,4.496920514977074,153.2719919978531 -2012-08-08 11:00:00,4.498753370691671,153.43789059952047 -2012-08-08 12:00:00,4.505392502863554,153.6416739028542 -2012-08-08 13:00:00,4.516408119109962,153.99890406231714 -2012-08-08 14:00:00,4.521117884003253,154.36501576815593 -2012-08-08 15:00:00,4.537828918151317,154.61203697996552 -2012-08-08 16:00:00,4.514167773709041,154.79650570669173 -2012-08-08 17:00:00,4.5226933998037575,154.99142012288843 -2012-08-08 18:00:00,4.52069040716658,155.16253883063885 -2012-08-08 19:00:00,4.51253642466859,155.3283941835874 -2012-08-08 20:00:00,4.5160854177851535,155.50120931214488 -2012-08-08 21:00:00,4.5232376229982565,155.668676912609 -2012-08-08 22:00:00,4.562959548319507,155.85207028715348 -2012-08-08 23:00:00,4.609295498738758,156.0186402114855 -2012-08-09 00:00:00,4.668663995496747,156.20085309512845 -2012-08-09 01:00:00,4.715079082078476,156.38677106767213 -2012-08-09 02:00:00,4.726865390404384,156.57772372397932 -2012-08-09 03:00:00,4.73990025062172,156.76720006979082 -2012-08-09 04:00:00,4.721161169500863,156.94865998970266 -2012-08-09 05:00:00,4.716292039206954,157.16332728315038 -2012-08-09 06:00:00,4.7174498146037065,157.3643804303507 -2012-08-09 07:00:00,4.715065882469978,157.56440230398744 -2012-08-09 08:00:00,4.7052305522136715,157.77075686329948 -2012-08-09 09:00:00,4.708329741483053,157.97424549347224 -2012-08-09 10:00:00,4.710531282521222,158.18641230328907 -2012-08-09 11:00:00,4.7266771396819385,158.3840080303359 -2012-08-09 12:00:00,4.759113204382085,158.59599165580727 -2012-08-09 13:00:00,4.830502665835736,158.78947137991187 -2012-08-09 14:00:00,4.932987411604946,158.90940789325305 -2012-08-09 15:00:00,4.959126112465843,159.07500313324442 -2012-08-09 16:00:00,4.954859363632357,159.1861494451556 -2012-08-09 17:00:00,4.9807954094729645,159.36494177420755 -2012-08-09 18:00:00,4.988942510567089,159.572447447663 -2012-08-09 19:00:00,5.003971784146692,159.7920789959645 -2012-08-09 20:00:00,5.0042317958292815,160.01834474348001 -2012-08-09 21:00:00,5.014114157045197,160.2371856527574 -2012-08-09 22:00:00,5.003789020606079,160.45570954984325 -2012-08-09 23:00:00,4.992789885437946,160.69665826993185 -2012-08-10 00:00:00,4.988886292531526,160.7873314275418 -2012-08-10 01:00:00,4.9829906134441035,160.88143501641525 -2012-08-10 02:00:00,4.971556121181243,160.98257512507524 -2012-08-10 03:00:00,4.974037566645251,161.07351621511762 -2012-08-10 04:00:00,4.957454218678338,161.17029589045814 -2012-08-10 05:00:00,4.955084768684046,161.28023983898044 -2012-08-10 06:00:00,4.952003559693566,161.3769733189163 -2012-08-10 07:00:00,4.945178644210143,161.4745780419971 -2012-08-10 08:00:00,4.9485550984625615,161.57243675692246 -2012-08-10 09:00:00,4.9391527487057685,161.6759700808355 -2012-08-10 10:00:00,4.932628806612391,161.7823200696684 -2012-08-10 11:00:00,4.937170287496418,161.8762111740623 -2012-08-10 12:00:00,4.932698375149805,161.98042706294197 -2012-08-10 13:00:00,4.928780983840758,162.08527597631624 -2012-08-10 14:00:00,4.925499453381686,162.19324192443946 -2012-08-10 15:00:00,4.921459287523964,162.29867121282282 -2012-08-10 16:00:00,4.911896654319377,162.4085333997164 -2012-08-10 17:00:00,4.902087777262363,162.51126378737706 -2012-08-10 18:00:00,4.895883774612005,162.6200086687009 -2012-08-10 19:00:00,4.889634292504022,162.7332829159289 -2012-08-10 20:00:00,4.883614370842761,162.85765240040914 -2012-08-10 21:00:00,4.877940534757341,163.0049993205908 -2012-08-10 22:00:00,4.863967339712946,163.1969941029751 -2012-08-10 23:00:00,4.852095537367032,163.4684317404808 -2012-08-11 00:00:00,4.849627577284722,164.01917730055072 -2012-08-11 01:00:00,4.847159617202413,164.81152973600868 -2012-08-11 02:00:00,4.842059521613581,166.333536474492 -2012-08-11 03:00:00,4.842223697037794,168.75789554082792 -2012-08-11 04:00:00,4.84115417975514,172.64385348262496 -2012-08-11 05:00:00,4.832801711961524,177.72041217130771 -2012-08-11 06:00:00,4.828609939333471,181.6762415600651 -2012-08-11 07:00:00,4.824996529181266,184.7448089777345 -2012-08-11 08:00:00,4.8213190383519855,188.4378088010459 -2012-08-11 09:00:00,4.817529642011151,189.76829399867796 -2012-08-11 10:00:00,4.809413034823104,191.39525975834684 -2012-08-11 11:00:00,4.81225985916135,193.086856628321 -2012-08-11 12:00:00,4.8085683808289135,194.7142771272485 -2012-08-11 13:00:00,4.806051922740473,196.36366867138153 -2012-08-11 14:00:00,4.798819229613952,198.32560506607908 -2012-08-11 15:00:00,4.786491709510579,199.22261091823532 -2012-08-11 16:00:00,4.788693054068926,200.1278288783368 -2012-08-11 17:00:00,4.776237011364439,200.9580138112597 -2012-08-11 18:00:00,4.773671098175129,201.4966503882396 -2012-08-11 19:00:00,4.770849403053018,201.86732228769787 -2012-08-11 20:00:00,4.761974087993527,202.17253012337758 -2012-08-11 21:00:00,4.765973358607196,202.4633800925283 -2012-08-11 22:00:00,4.763455629887261,202.81909923737737 -2012-08-11 23:00:00,4.753079637959746,203.15130837656395 -2012-08-12 00:00:00,4.751889671268568,203.34418001166293 -2012-08-12 01:00:00,4.751281936346735,203.51376898006546 -2012-08-12 02:00:00,4.750174821711243,203.65654571722976 -2012-08-12 03:00:00,4.750055651515048,203.7744729345474 -2012-08-12 04:00:00,4.76006015907491,203.8949719516263 -2012-08-12 05:00:00,4.74727000546274,204.01717889667205 -2012-08-12 06:00:00,4.746048040802925,204.15247040811715 -2012-08-12 07:00:00,4.745456156405939,204.30405846621565 -2012-08-12 08:00:00,4.744365189214237,204.4464881562053 -2012-08-12 09:00:00,4.7436423073491385,204.59021979420925 -2012-08-12 10:00:00,4.746949963776532,204.72232295239002 -2012-08-12 11:00:00,4.732651206320312,204.8760919438068 -2012-08-12 12:00:00,4.731830256862824,205.01729220661494 -2012-08-12 13:00:00,4.730042413894317,205.16330946904944 -2012-08-12 14:00:00,4.733272606425956,205.2749873097483 -2012-08-12 15:00:00,4.727433621468322,205.42228812599282 -2012-08-12 16:00:00,4.718222470104062,205.53436060816358 -2012-08-12 17:00:00,4.732055877644549,205.61593175180678 -2012-08-12 18:00:00,4.730613405116091,205.4585058261712 -2012-08-12 19:00:00,4.729861652153951,205.04083083850625 -2012-08-12 20:00:00,4.732677277750194,204.19752326410625 -2012-08-12 21:00:00,4.727937920972768,203.4971792083381 -2012-08-12 22:00:00,4.729241593960802,202.53518154543679 -2012-08-12 23:00:00,4.7250245695018975,201.74464803467092 -2012-08-13 00:00:00,4.723594651167097,201.55606138378505 -2012-08-13 01:00:00,4.725375861303643,201.3780945334216 -2012-08-13 02:00:00,4.727026038240109,200.76915421911121 -2012-08-13 03:00:00,4.732032586217689,200.07974182365234 -2012-08-13 04:00:00,4.739419856258421,199.25277376083903 -2012-08-13 05:00:00,4.749863688837868,198.8062237074215 -2012-08-13 06:00:00,4.762728905716353,198.78367038955093 -2012-08-13 07:00:00,4.769245175329552,198.83792447901672 -2012-08-13 08:00:00,4.775056916329475,198.84613438928574 -2012-08-13 09:00:00,4.782466376426049,198.80441377320412 -2012-08-13 10:00:00,4.801725960011637,198.66593820220456 -2012-08-13 11:00:00,4.818938923189296,198.44349235847668 -2012-08-13 12:00:00,4.844677600289078,198.2294935490512 -2012-08-13 13:00:00,4.870373224424763,197.83982792138823 -2012-08-13 14:00:00,4.896317927058635,197.16210858688885 -2012-08-13 15:00:00,4.9121388229611025,196.2537184312912 -2012-08-13 16:00:00,4.933879151119225,194.7259389968574 -2012-08-13 17:00:00,4.956180930924018,192.81487011794718 -2012-08-13 18:00:00,4.9583096861663325,190.82977279495748 -2012-08-13 19:00:00,4.984020758774554,188.60682254344457 -2012-08-13 20:00:00,4.998797420175614,186.0758496012867 -2012-08-13 21:00:00,5.013282903846711,184.1498954135291 -2012-08-13 22:00:00,5.0275396840834015,182.66135824493375 -2012-08-13 23:00:00,5.035886551467715,181.55667928543278 -2012-08-14 00:00:00,5.042510063862091,180.90120787934447 -2012-08-14 01:00:00,5.052486429037545,180.39911895234064 -2012-08-14 02:00:00,5.061305647609245,179.86302241985203 -2012-08-14 03:00:00,5.071398930529184,179.2064059060804 -2012-08-14 04:00:00,5.080286782898988,178.13011738139272 -2012-08-14 05:00:00,5.079943940856688,176.75056859756995 -2012-08-14 06:00:00,5.081533905835654,175.33817860906316 -2012-08-14 07:00:00,5.0820527392983035,173.85831893206765 -2012-08-14 08:00:00,5.072939015800745,171.50076754901505 -2012-08-14 09:00:00,5.044952361226711,169.5564374623073 -2012-08-14 10:00:00,5.063315337854784,167.30758833237573 -2012-08-14 11:00:00,5.06907264490102,165.49876941380742 -2012-08-14 12:00:00,5.070495017804505,163.41854910282845 -2012-08-14 13:00:00,5.07229118557342,160.30600026724397 -2012-08-14 14:00:00,5.064708492489442,156.61271827554165 -2012-08-14 15:00:00,5.0736380117098925,153.48076385601425 -2012-08-14 16:00:00,5.065624605704928,150.09009121119237 -2012-08-14 17:00:00,5.091209597907059,146.57290408405544 -2012-08-14 18:00:00,5.112680884380359,143.10575905861475 -2012-08-14 19:00:00,5.1415674020513675,138.89349599001446 -2012-08-14 20:00:00,5.165847050283232,133.44832693236432 -2012-08-14 21:00:00,5.185487432858236,127.61456406946799 -2012-08-14 22:00:00,5.216997455345561,121.43980214268893 -2012-08-14 23:00:00,5.242442216866682,115.95544363503275 -2012-08-15 00:00:00,5.2694458607018015,111.93084916080596 -2012-08-15 01:00:00,5.305524509334726,108.23793855772787 -2012-08-15 02:00:00,5.374933964373558,103.98113986790483 -2012-08-15 03:00:00,5.484720068206254,101.74627424498142 -2012-08-15 04:00:00,5.607583906167014,100.13202639561749 -2012-08-15 05:00:00,5.725014461048176,99.5264623667146 -2012-08-15 06:00:00,5.799486902223369,99.30980038312921 -2012-08-15 07:00:00,5.841471600863092,99.29674842907517 -2012-08-15 08:00:00,5.854057021755627,99.39323430484362 -2012-08-15 09:00:00,5.858072731004398,99.5398872844067 -2012-08-15 10:00:00,5.852958044422075,99.71104036261592 -2012-08-15 11:00:00,5.844233101714504,99.88513240000138 -2012-08-15 12:00:00,5.831117201213124,100.00330024440214 -2012-08-15 13:00:00,5.815668414316288,100.01020798251065 -2012-08-15 14:00:00,5.795238042060562,100.00016096014573 -2012-08-15 15:00:00,5.781565921751272,100.1155507188852 -2012-08-15 16:00:00,5.786636789931677,100.34497429922206 -2012-08-15 17:00:00,5.773046420000742,100.64635146647373 -2012-08-15 18:00:00,5.770424536185119,100.93289563674271 -2012-08-15 19:00:00,5.768703281486163,101.21021176841683 -2012-08-15 20:00:00,5.755691130941838,101.47506683182887 -2012-08-15 21:00:00,5.744649389779069,101.63326521538546 -2012-08-15 22:00:00,5.6671311530106205,101.75322258842773 -2012-08-15 23:00:00,5.642918068838799,101.90098627548562 -2012-08-16 00:00:00,5.579504921177709,102.02885761978979 -2012-08-16 01:00:00,5.530662547615659,102.16746142339596 -2012-08-16 02:00:00,5.506405915455426,102.30735884525403 -2012-08-16 03:00:00,5.505618343705367,102.41308489586213 -2012-08-16 04:00:00,5.512165610335654,102.53114504613177 -2012-08-16 05:00:00,5.495017747033243,102.65002167670465 -2012-08-16 06:00:00,5.4897522756739905,102.77965638348952 -2012-08-16 07:00:00,5.488172530191006,102.94430196223713 -2012-08-16 08:00:00,5.48332382062963,103.11887368817744 -2012-08-16 09:00:00,5.487019446581164,103.26104588782236 -2012-08-16 10:00:00,5.47252055059501,103.3887965916465 -2012-08-16 11:00:00,5.444508173815534,103.50711648787991 -2012-08-16 12:00:00,5.414857335693125,103.60408051157253 -2012-08-16 13:00:00,5.34632532461145,103.69536682515302 -2012-08-16 14:00:00,5.257073201468827,103.78842275137954 -2012-08-16 15:00:00,5.311264487471178,103.8765043895513 -2012-08-16 16:00:00,5.4964819841438395,103.9746983054035 -2012-08-16 17:00:00,5.66979639918954,104.0592273590869 -2012-08-16 18:00:00,5.736099135222808,104.14356636033892 -2012-08-16 19:00:00,5.748500098782131,104.22402270569395 -2012-08-16 20:00:00,5.7475347362550195,104.30979840798115 -2012-08-16 21:00:00,5.7448160089732445,104.38504447321677 -2012-08-16 22:00:00,5.750375047958121,104.47666651115017 -2012-08-16 23:00:00,5.756874803470401,104.54045900617548 -2012-08-17 00:00:00,5.751725295077844,104.7573510658202 -2012-08-17 01:00:00,5.753178088405109,104.98444159960466 -2012-08-17 02:00:00,5.751310413869604,105.20989012868368 -2012-08-17 03:00:00,5.746481402923103,105.44622993192694 -2012-08-17 04:00:00,5.742022926273228,105.68672435417756 -2012-08-17 05:00:00,5.725540412420686,105.90496873477568 -2012-08-17 06:00:00,5.708003060131156,106.13489882479925 -2012-08-17 07:00:00,5.73292278027808,106.38084631987633 -2012-08-17 08:00:00,5.746295074351386,106.61356719303309 -2012-08-17 09:00:00,5.774529863822869,106.8404031898762 -2012-08-17 10:00:00,5.792914407786825,107.06085680766662 -2012-08-17 11:00:00,5.806897010469394,107.26800104877758 -2012-08-17 12:00:00,5.837404936643473,107.47964652313861 -2012-08-17 13:00:00,5.8611025736543105,107.69693952812972 -2012-08-17 14:00:00,5.877532978797343,107.91055485373352 -2012-08-17 15:00:00,5.897145178965325,108.12685238871188 -2012-08-17 16:00:00,5.915153380575196,108.33213864182552 -2012-08-17 17:00:00,5.919933910063298,108.53884745917487 -2012-08-17 18:00:00,5.974752960850396,108.73915620554644 -2012-08-17 19:00:00,6.011017575698206,108.93288117457585 -2012-08-17 20:00:00,6.0342741445230645,109.11382885015499 -2012-08-17 21:00:00,6.060267801379173,109.27495192453465 -2012-08-17 22:00:00,6.057264819629141,109.38379014499007 -2012-08-17 23:00:00,6.083626460315527,109.41291409880668 -2012-08-18 00:00:00,6.117030417849318,109.14878599272086 -2012-08-18 01:00:00,6.164089356558554,108.64180876813761 -2012-08-18 02:00:00,6.2163862685901865,107.40971854654997 -2012-08-18 03:00:00,6.276264837867223,105.27159260010731 -2012-08-18 04:00:00,6.3243336135321995,101.66978490101347 -2012-08-18 05:00:00,6.362206425888925,96.87791564445037 -2012-08-18 06:00:00,6.405252002493418,93.2049448459289 -2012-08-18 07:00:00,6.447095836690101,90.42159466909324 -2012-08-18 08:00:00,6.465768798979152,87.01005779389621 -2012-08-18 09:00:00,6.477668233509927,85.95515508970527 -2012-08-18 10:00:00,6.512025585905635,84.60755275790055 -2012-08-18 11:00:00,6.571290668048092,83.19307465148816 -2012-08-18 12:00:00,6.655664997853878,81.82581175985636 -2012-08-18 13:00:00,6.729498604900742,80.4136994909429 -2012-08-18 14:00:00,6.814305910771969,78.69633632857271 -2012-08-18 15:00:00,6.837863814556771,78.05737859379013 -2012-08-18 16:00:00,6.950585623881635,77.43021283848853 -2012-08-18 17:00:00,7.011517189431741,76.8548509505574 -2012-08-18 18:00:00,7.030015916304203,76.55735300327875 -2012-08-18 19:00:00,7.036804895521028,76.41653853397426 -2012-08-18 20:00:00,7.04480247633277,76.34673465548896 -2012-08-18 21:00:00,7.056024685309665,76.32017812801526 -2012-08-18 22:00:00,7.033731522619905,76.21061111007737 -2012-08-18 23:00:00,7.075186309330209,76.13142566409688 -2012-08-19 00:00:00,7.113218719401092,76.14278211957267 -2012-08-19 01:00:00,7.198332650704213,76.18229240364145 -2012-08-19 02:00:00,7.372841947164043,76.24784040344336 -2012-08-19 03:00:00,7.490294239673833,76.33031706995699 -2012-08-19 04:00:00,7.585341107473038,76.41599347369483 -2012-08-19 05:00:00,7.649823392055039,76.49160951540136 -2012-08-19 06:00:00,7.675853142968368,76.5543723896816 -2012-08-19 07:00:00,7.697813421614639,76.59725790040208 -2012-08-19 08:00:00,7.765383454747778,76.64755081681413 -2012-08-19 09:00:00,7.844200161644116,76.70256930455996 -2012-08-19 10:00:00,7.886326494626067,76.75367824409497 -2012-08-19 11:00:00,7.9463055701076915,76.81431133625017 -2012-08-19 12:00:00,8.152604848582353,76.87287127755029 -2012-08-19 13:00:00,8.310943601641984,76.92701241466969 -2012-08-19 14:00:00,8.478153877996554,76.98481995940885 -2012-08-19 15:00:00,8.634322614868777,77.02757850233334 -2012-08-19 16:00:00,8.761548776136397,77.09678014338955 -2012-08-19 17:00:00,8.801082084126838,77.13150060976182 -2012-08-19 18:00:00,8.866802398104706,77.1772238681874 -2012-08-19 19:00:00,9.090566064145964,77.23899848695606 -2012-08-19 20:00:00,9.432332242194455,77.35733094206104 -2012-08-19 21:00:00,9.629432222648832,77.47695563493232 -2012-08-19 22:00:00,9.83173730535647,77.62022922246332 -2012-08-19 23:00:00,10.025640530194867,77.7188160329508 -2012-08-20 00:00:00,10.38769310638099,77.71703456964703 -2012-08-20 01:00:00,11.025389232326038,77.73649596069839 -2012-08-20 02:00:00,11.824327749732348,77.7777991725848 -2012-08-20 03:00:00,12.355469008391315,77.81402072097494 -2012-08-20 04:00:00,12.720105369726689,77.80887619147835 -2012-08-20 05:00:00,12.992840576146945,77.79694822360094 -2012-08-20 06:00:00,13.12397892933297,77.75158561715321 -2012-08-20 07:00:00,13.155594653724673,77.70205292322586 -2012-08-20 08:00:00,13.180256775678815,77.6414686375936 -2012-08-20 09:00:00,13.20972334706981,77.5851878681294 -2012-08-20 10:00:00,13.22125927514662,77.51983915420294 -2012-08-20 11:00:00,13.21929914111468,77.45529042127212 -2012-08-20 12:00:00,13.196450347679304,77.39296309811778 -2012-08-20 13:00:00,13.171085037164195,77.33462880131358 -2012-08-20 14:00:00,13.14490298220909,77.28466396750605 -2012-08-20 15:00:00,13.12407150314341,77.23587988957931 -2012-08-20 16:00:00,13.10839576349449,77.1948014086915 -2012-08-20 17:00:00,13.07679997731793,77.14859019292814 -2012-08-20 18:00:00,13.071862076002917,77.10217258503877 -2012-08-20 19:00:00,13.043334318194583,77.05160855171927 -2012-08-20 20:00:00,13.022404005354552,76.99531750847721 -2012-08-20 21:00:00,13.008417134625633,76.94249232095474 -2012-08-20 22:00:00,12.972352245741003,76.88336816965221 -2012-08-20 23:00:00,12.9810741967882,76.82379225666112 -2012-08-21 00:00:00,12.978712946759469,76.77308623479475 -2012-08-21 01:00:00,12.968638196226356,76.72116573888486 -2012-08-21 02:00:00,12.957962397762294,76.67559435280934 -2012-08-21 03:00:00,12.946411447738866,76.6313028504391 -2012-08-21 04:00:00,12.935515172720898,76.5716567113704 -2012-08-21 05:00:00,12.922666844838723,76.51852042078364 -2012-08-21 06:00:00,12.91787973697872,76.46378710798312 -2012-08-21 07:00:00,12.913954597403958,76.40916806514704 -2012-08-21 08:00:00,12.906328894592527,76.35114610717451 -2012-08-21 09:00:00,12.944431629210944,76.31189424248356 -2012-08-21 10:00:00,12.917869436665715,76.26384906412233 -2012-08-21 11:00:00,12.901677520232116,76.19949425915654 -2012-08-21 12:00:00,12.897214259026574,76.1446867880182 -2012-08-21 13:00:00,12.892549092600241,76.08733804409357 -2012-08-21 14:00:00,12.885842852288501,76.02694672536911 -2012-08-21 15:00:00,12.884242561562614,75.96928625058132 -2012-08-21 16:00:00,12.8846700905813,75.88833853559812 -2012-08-21 17:00:00,12.856814487393883,75.71721250331943 -2012-08-21 18:00:00,12.832249490100251,75.41445018657238 -2012-08-21 19:00:00,12.800021887319259,75.05112393036046 -2012-08-21 20:00:00,12.770813995101614,74.63109542643272 -2012-08-21 21:00:00,12.749667060582079,74.25339561029696 -2012-08-21 22:00:00,12.698441731446197,73.8796913007764 -2012-08-21 23:00:00,12.682855788602069,73.58609061805726 -2012-08-22 00:00:00,12.653119581593833,73.26872798965958 -2012-08-22 01:00:00,12.613783460816952,72.93575924847391 -2012-08-22 02:00:00,12.534058115028229,72.63686064578116 -2012-08-22 03:00:00,12.429372912726091,72.3780905311298 -2012-08-22 04:00:00,12.301006276636118,72.13801075502998 -2012-08-22 05:00:00,12.180350702896572,71.93917831098948 -2012-08-22 06:00:00,12.10322907759056,71.76471025706978 -2012-08-22 07:00:00,12.058891758913653,71.58511976630828 -2012-08-22 08:00:00,12.0424429526005,71.39416351430494 -2012-08-22 09:00:00,12.032669631499067,71.20062212890038 -2012-08-22 10:00:00,12.011783664907572,70.97841621481932 -2012-08-22 11:00:00,12.025636788216095,70.77279003709421 -2012-08-22 12:00:00,12.024938919192229,70.60436645402162 -2012-08-22 13:00:00,12.021395693708238,70.40420374362171 -2012-08-22 14:00:00,12.021471815474975,70.19162880603541 -2012-08-22 15:00:00,12.01809107743352,69.97540327351899 -2012-08-22 16:00:00,12.015525786132903,69.69368161001252 -2012-08-22 17:00:00,12.012702768509296,69.33671820826024 -2012-08-22 18:00:00,12.010941227060089,69.01487780808431 -2012-08-22 19:00:00,12.010311420650257,68.70428915739691 -2012-08-22 20:00:00,12.01024981520227,68.40200406137511 -2012-08-22 21:00:00,12.007062900407352,68.21015761867801 -2012-08-22 22:00:00,12.035418273633113,68.03155286167315 -2012-08-22 23:00:00,12.00461744000225,67.84839954385755 -2012-08-23 00:00:00,12.002436213333818,67.66249383641784 -2012-08-23 01:00:00,11.998948872917548,67.46261107811284 -2012-08-23 02:00:00,11.9957607233573,67.26237726837633 -2012-08-23 03:00:00,11.986839299325164,67.08025719684126 -2012-08-23 04:00:00,11.984169177944803,66.90737022893636 -2012-08-23 05:00:00,11.978632386230185,66.68888052596868 -2012-08-23 06:00:00,11.976123095766933,66.47652634598471 -2012-08-23 07:00:00,11.97402237763845,66.23232609813404 -2012-08-23 08:00:00,11.970783542946885,65.97395555150968 -2012-08-23 09:00:00,11.969757065652026,65.74076610846181 -2012-08-23 10:00:00,11.97465275565986,65.51592945408339 -2012-08-23 11:00:00,11.968166787884684,65.31256628053124 -2012-08-23 12:00:00,11.95714999588331,65.11684779079863 -2012-08-23 13:00:00,11.946084398096389,64.92754449340974 -2012-08-23 14:00:00,11.917680241915846,64.73311715990032 -2012-08-23 15:00:00,11.836904203663899,64.53945537633501 -2012-08-23 16:00:00,11.63969125627388,64.3425858631501 -2012-08-23 17:00:00,11.447220409666038,64.14682196033579 -2012-08-23 18:00:00,11.375921338373411,63.94992903983182 -2012-08-23 19:00:00,11.35115893117389,63.751213697468046 -2012-08-23 20:00:00,11.328234758898715,63.539530791286424 -2012-08-23 21:00:00,11.327189514528419,63.34817932452687 -2012-08-23 22:00:00,11.293049832657253,63.127234415216535 -2012-08-23 23:00:00,11.28916884824445,62.93519867218647 -2012-08-24 00:00:00,11.286202395848877,62.73121466378602 -2012-08-24 01:00:00,11.278610834069655,62.5148489829287 -2012-08-24 02:00:00,11.270034145853055,62.29635204208373 -2012-08-24 03:00:00,11.266251447980851,62.06951237833363 -2012-08-24 04:00:00,11.263166047045184,61.82828152255636 -2012-08-24 05:00:00,11.26186584765089,61.61978326578367 -2012-08-24 06:00:00,11.267407956106146,61.391761592115756 -2012-08-24 07:00:00,11.23684254529517,61.14767465664557 -2012-08-24 08:00:00,11.210426158783884,60.92279999980745 -2012-08-24 09:00:00,11.183991641555439,60.69256205596345 -2012-08-24 10:00:00,11.154965480611265,60.4614327519949 -2012-08-24 11:00:00,11.139559622417135,60.26623807313022 -2012-08-24 12:00:00,11.10569399391072,60.050150919795065 -2012-08-24 13:00:00,11.078469241952657,59.8271508786163 -2012-08-24 14:00:00,11.055785047828657,59.604210795785654 -2012-08-24 15:00:00,11.036652633148787,59.37506522261169 -2012-08-24 16:00:00,11.010717418651547,59.156418297492635 -2012-08-24 17:00:00,10.98348960385594,58.92011493947925 -2012-08-24 18:00:00,10.915492639095616,58.70405638849611 -2012-08-24 19:00:00,10.885975096431311,58.49372523880381 -2012-08-24 20:00:00,10.847056383672152,58.27608606247223 -2012-08-24 21:00:00,10.829128617346667,58.06676101913 -2012-08-24 22:00:00,10.822834988840333,57.85981877994251 -2012-08-24 23:00:00,10.775611082155672,57.629829485066416 -2012-08-25 00:00:00,10.73886758265269,57.43264187124357 -2012-08-25 01:00:00,10.688602697939764,57.2371004798895 -2012-08-25 02:00:00,10.619390113871994,57.057843244010954 -2012-08-25 03:00:00,10.568449125113252,56.962257279910915 -2012-08-25 04:00:00,10.487634309072249,56.966490263092666 -2012-08-25 05:00:00,10.449330590462841,56.84463307941498 -2012-08-25 06:00:00,10.404401288917484,56.67793047059423 -2012-08-25 07:00:00,10.360617998777,56.514440414327545 -2012-08-25 08:00:00,10.335257488830848,56.39149769576459 -2012-08-25 09:00:00,10.32294425158637,56.308499591559276 -2012-08-25 10:00:00,10.282549145675416,56.2616008904251 -2012-08-25 11:00:00,10.219281923309643,56.207646355005544 -2012-08-25 12:00:00,10.166052398917401,56.07975697923095 -2012-08-25 13:00:00,10.104718144414855,55.92538244245127 -2012-08-25 14:00:00,10.048301210682006,55.76299080528634 -2012-08-25 15:00:00,10.05736465093793,55.60405427817055 -2012-08-25 16:00:00,9.971323704313342,55.41593206373981 -2012-08-25 17:00:00,9.952429843816645,55.23818998291918 -2012-08-25 18:00:00,9.933664755926104,55.0552401271712 -2012-08-25 19:00:00,9.926439247443872,54.87970533970217 -2012-08-25 20:00:00,9.916449982792278,54.70565051695052 -2012-08-25 21:00:00,9.90476674287421,54.5173419706434 -2012-08-25 22:00:00,9.918927786960873,54.34963976380728 -2012-08-25 23:00:00,9.873731821394763,54.17772133911846 -2012-08-26 00:00:00,9.83235986935469,54.00789373508005 -2012-08-26 01:00:00,9.743260168375759,53.83777167582028 -2012-08-26 02:00:00,9.555631987626548,53.65719796374828 -2012-08-26 03:00:00,9.443973267761134,53.49529035443828 -2012-08-26 04:00:00,9.336914034463216,53.32378675604044 -2012-08-26 05:00:00,9.273863273334268,53.15415467095971 -2012-08-26 06:00:00,9.244493980451745,52.98296211908013 -2012-08-26 07:00:00,9.219194159836285,52.812590703142355 -2012-08-26 08:00:00,9.146574327787244,52.64351418145109 -2012-08-26 09:00:00,9.068724204088824,52.473709627355 -2012-08-26 10:00:00,9.030451989796678,52.305547080710845 -2012-08-26 11:00:00,8.970544712584038,52.14159812689446 -2012-08-26 12:00:00,8.770911907046067,51.97402454269081 -2012-08-26 13:00:00,8.617989281000604,51.81171771513318 -2012-08-26 14:00:00,8.449662953078512,51.64969086954097 -2012-08-26 15:00:00,8.298834236079728,51.49459174278118 -2012-08-26 16:00:00,8.193042312203357,51.32944644194444 -2012-08-26 17:00:00,8.127426275279968,51.18238134778593 -2012-08-26 18:00:00,8.058957290813993,51.02592740426485 -2012-08-26 19:00:00,7.83190109553145,50.852343466163155 -2012-08-26 20:00:00,7.481857694369179,50.632340867433214 -2012-08-26 21:00:00,7.283936437380893,50.3987944985403 -2012-08-26 22:00:00,7.080244414209112,50.135033881231564 -2012-08-26 23:00:00,6.8825050918795405,49.918134631513894 -2012-08-27 00:00:00,6.517237094798557,49.80595472692694 -2012-08-27 01:00:00,5.872303491821268,49.673389406030864 -2012-08-27 02:00:00,5.0678521889925365,49.516575716243416 -2012-08-27 03:00:00,4.525746055439282,49.36186783782667 -2012-08-27 04:00:00,4.140094081969221,49.24941018356939 -2012-08-27 05:00:00,3.8228310895548834,49.12638612298398 -2012-08-27 06:00:00,3.6745275400438744,49.04841009501653 -2012-08-27 07:00:00,3.6307342547214625,48.96869912932436 -2012-08-27 08:00:00,3.5877814429639248,48.88456007039074 -2012-08-27 09:00:00,3.5534230895158205,48.8128967435886 -2012-08-27 10:00:00,3.5224513960683423,48.744818044462555 -2012-08-27 11:00:00,3.5007660995876853,48.669375940326454 -2012-08-27 12:00:00,3.493700143046927,48.597604237260306 -2012-08-27 13:00:00,3.4886900006118653,48.52292468664318 -2012-08-27 14:00:00,3.491159867754629,48.44716993206826 -2012-08-27 15:00:00,3.484059376956248,48.367064736097774 -2012-08-27 16:00:00,3.4827739534976794,48.285671162089145 -2012-08-27 17:00:00,3.4818954616118036,48.20082705054032 -2012-08-27 18:00:00,3.479494206191617,48.12224792115635 -2012-08-27 19:00:00,3.4770929507714303,48.04204333075428 -2012-08-27 20:00:00,3.4805087156450876,47.973015278902274 -2012-08-27 21:00:00,3.471244034994367,47.904730296461715 -2012-08-27 22:00:00,3.493367709331433,47.8397173336869 -2012-08-27 23:00:00,3.469110056954631,47.77354782409253 -2012-08-28 00:00:00,3.4633774756333704,47.72815428235374 -2012-08-28 01:00:00,3.463291173730117,47.678502992152026 -2012-08-28 02:00:00,3.459647731751431,47.611605763066045 -2012-08-28 03:00:00,3.4782325370151637,47.558648759523095 -2012-08-28 04:00:00,3.4867569537065695,47.52678821754572 -2012-08-28 05:00:00,3.4958620186726033,47.51200500067917 -2012-08-28 06:00:00,3.498188569935797,47.71352271438619 -2012-08-28 07:00:00,3.4985880187496576,47.83816740156444 -2012-08-28 08:00:00,3.5046712133905,47.91491958196127 -2012-08-28 09:00:00,3.4975978919638524,47.98465874211481 -2012-08-28 10:00:00,3.5010292816384356,48.08704733550229 -2012-08-28 11:00:00,3.504462032498346,48.121251263928336 -2012-08-28 12:00:00,3.5045139434949943,48.10236618797971 -2012-08-28 13:00:00,3.5041725851534595,48.06782047130563 -2012-08-28 14:00:00,3.5067589122507727,48.11005148294727 -2012-08-28 15:00:00,3.498933598308702,48.10214590175506 -2012-08-28 16:00:00,3.502908279764501,48.16839699199147 -2012-08-28 17:00:00,3.5173374691038575,48.15109295163872 -2012-08-28 18:00:00,3.509896919600867,48.08811675804015 -2012-08-28 19:00:00,3.522829984688984,48.02471255014388 -2012-08-28 20:00:00,3.524947698540838,47.950629538240136 -2012-08-28 21:00:00,3.530951419511752,47.88095672362523 -2012-08-28 22:00:00,3.558256210377071,47.820817947462274 -2012-08-28 23:00:00,3.543490721899146,47.75011752481343 -2012-08-29 00:00:00,3.542331293577289,47.679796694646676 -2012-08-29 01:00:00,3.5404983183690173,47.60532423821814 -2012-08-29 02:00:00,3.5427243189097255,47.53484990636448 -2012-08-29 03:00:00,3.5369620560857093,47.45531223266008 -2012-08-29 04:00:00,3.5374221028856954,47.375455838550245 -2012-08-29 05:00:00,3.532534148671822,47.30100544630176 -2012-08-29 06:00:00,3.5308473945901713,47.20873470042406 -2012-08-29 07:00:00,3.5290682334817,47.103053697805294 -2012-08-29 08:00:00,3.518075962064371,46.9954561838899 -2012-08-29 09:00:00,3.5250489846472286,46.92892296947958 -2012-08-29 10:00:00,3.513494943456507,46.84490254946536 -2012-08-29 11:00:00,3.51237072041054,46.769358517342404 -2012-08-29 12:00:00,3.5104994294043914,46.67054556399569 -2012-08-29 13:00:00,3.508628138398243,46.56368891183543 -2012-08-29 14:00:00,3.5061727568610643,46.48122468513277 -2012-08-29 15:00:00,3.5046179314590886,46.39210830860695 -2012-08-29 16:00:00,3.507878723287839,46.32013605728486 -2012-08-29 17:00:00,3.5042896587505767,46.2450496592755 -2012-08-29 18:00:00,3.5031758852935,46.168207055740424 -2012-08-29 19:00:00,3.501860284701884,46.090232261975075 -2012-08-29 20:00:00,3.4902218376593446,46.00365299707544 -2012-08-29 21:00:00,3.497025774183517,45.93358263154662 -2012-08-29 22:00:00,3.465204425576736,45.855261534959155 -2012-08-29 23:00:00,3.4757712309648303,45.788039292123656 -2012-08-30 00:00:00,3.463115347036176,45.718970863663664 -2012-08-30 01:00:00,3.4715090573689515,45.65548236881055 -2012-08-30 02:00:00,3.46984363004638,45.59178803446796 -2012-08-30 03:00:00,3.4674389877643863,45.52759956957094 -2012-08-30 04:00:00,3.4697026119513787,45.461020289564765 -2012-08-30 05:00:00,3.4715964164010646,45.4163432369601 -2012-08-30 06:00:00,3.4701188685938575,45.35380797396211 -2012-08-30 07:00:00,3.467232065050057,45.28618330016252 -2012-08-30 08:00:00,3.4561376812860223,45.217281510113565 -2012-08-30 09:00:00,3.421147885903327,45.14452565503251 -2012-08-30 10:00:00,3.4275673527435617,45.08089132135222 -2012-08-30 11:00:00,3.40017503904268,44.996507296107026 -2012-08-30 12:00:00,3.39843314177182,44.93498381834265 -2012-08-30 13:00:00,3.3960841706710854,44.87007211432298 -2012-08-30 14:00:00,3.3938606385312546,44.80792269362918 -2012-08-30 15:00:00,3.3918429441875473,44.74584736577988 -2012-08-30 16:00:00,3.3945180809475195,44.68230861984632 -2012-08-30 17:00:00,3.381177852959515,44.619613777341065 -2012-08-30 18:00:00,3.3676513740232124,44.55744089785443 -2012-08-30 19:00:00,3.3580931907149734,44.49602570192763 -2012-08-30 20:00:00,3.355253532312314,44.437088485934765 -2012-08-30 21:00:00,3.354173095641961,44.376047137642786 -2012-08-30 22:00:00,3.3478253443369552,44.312485231852754 -2012-08-30 23:00:00,3.3462469021104195,44.2556367435614 -2012-08-31 00:00:00,3.3441162519512395,44.1946817626557 -2012-08-31 01:00:00,3.3414379530824125,44.13385805303367 -2012-08-31 02:00:00,3.329500529146756,44.06883854569287 -2012-08-31 03:00:00,3.295432485810744,44.00145461623486 -2012-08-31 04:00:00,3.302136637301311,43.94638664180693 -2012-08-31 05:00:00,3.31012013643773,43.88223991338104 -2012-08-31 06:00:00,3.307587853135769,43.823472635625635 -2012-08-31 07:00:00,3.3050906269311384,43.76800081573865 -2012-08-31 08:00:00,3.304646744477405,43.714505713580195 -2012-08-31 09:00:00,3.302392763751771,43.677209926993754 -2012-08-31 10:00:00,3.3057168068739653,43.7120483220399 -2012-08-31 11:00:00,3.299031430008636,43.976072487396486 -2012-08-31 12:00:00,3.2969888281565387,44.638562728195616 -2012-08-31 13:00:00,3.2946017667061067,45.24044175047328 -2012-08-31 14:00:00,3.296405630426689,45.63883400172403 -2012-08-31 15:00:00,3.289119140128826,45.84347370782542 -2012-08-31 16:00:00,3.293221639272622,45.997519873045 -2012-08-31 17:00:00,3.3102800058039907,46.17165309508637 -2012-08-31 18:00:00,3.3172108888157155,46.31250644441084 -2012-08-31 19:00:00,3.304216785670712,46.41751412888781 -2012-08-31 20:00:00,3.3139426120917252,46.5393977613896 -2012-08-31 21:00:00,3.300496882323332,46.625770406126726 -2012-08-31 22:00:00,3.3063543953359322,46.71496554838703 -2012-08-31 23:00:00,3.3176052183794593,46.79058120235576 -2012-09-01 00:00:00,3.314406376483663,46.796910980762384 -2012-09-01 01:00:00,3.3123027159524994,46.79994421587043 -2012-09-01 02:00:00,3.3212678246671947,46.760431216319176 -2012-09-01 03:00:00,3.308318579196129,46.63396953989649 -2012-09-01 04:00:00,3.3369499130041294,46.394189145395124 -2012-09-01 05:00:00,3.3249304309549297,46.292087635730354 -2012-09-01 06:00:00,3.320567124934295,46.21819086372116 -2012-09-01 07:00:00,3.317488327246729,46.14291794339881 -2012-09-01 08:00:00,3.3172531793083766,46.02402550751677 -2012-09-01 09:00:00,3.310866838364401,45.86592226024162 -2012-09-01 10:00:00,3.3159328829122954,45.675323151132226 -2012-09-01 11:00:00,3.2889628434539016,45.49653275500009 -2012-09-01 12:00:00,3.251247893225549,45.423648542437796 -2012-09-01 13:00:00,3.2317179161555414,45.38100058569929 -2012-09-01 14:00:00,3.1959203416540007,45.33025337772437 -2012-09-01 15:00:00,3.1571054306359376,45.26534770714229 -2012-09-01 16:00:00,3.131122415050132,45.21737430473603 -2012-09-01 17:00:00,3.083817871679389,45.167663260490386 -2012-09-01 18:00:00,3.0778614186859645,45.12116518816609 -2012-09-01 19:00:00,3.071487650558501,45.069077036924895 -2012-09-01 20:00:00,3.0598490130865867,45.01681262820975 -2012-09-01 21:00:00,3.062709458493355,44.982504934402144 -2012-09-01 22:00:00,3.0301990541581434,44.91858122647809 -2012-09-01 23:00:00,3.044897908089673,44.874956934394014 -2012-09-02 00:00:00,3.0429607251596775,44.83522665880658 -2012-09-02 01:00:00,3.0441990240214314,44.79967682445876 -2012-09-02 02:00:00,3.055470382101342,44.766575226837936 -2012-09-02 03:00:00,3.0411811580795445,44.72709119393176 -2012-09-02 04:00:00,3.049187431189639,44.68152466938903 -2012-09-02 05:00:00,3.051968913506818,44.64249338772275 -2012-09-02 06:00:00,3.052951815225803,44.607962196671004 -2012-09-02 07:00:00,3.054138046744159,44.573266291545494 -2012-09-02 08:00:00,3.062417856694832,44.533710678551735 -2012-09-02 09:00:00,3.060135588019643,44.50091901064957 -2012-09-02 10:00:00,3.0592374742813573,44.46433070755274 -2012-09-02 11:00:00,3.060912754149464,44.425498137542405 -2012-09-02 12:00:00,3.0519991677260214,44.38971042368175 -2012-09-02 13:00:00,3.0436701671368396,44.350176554283 -2012-09-02 14:00:00,3.0317215338485624,44.307463421643526 -2012-09-02 15:00:00,3.031792562343184,44.2730705139399 -2012-09-02 16:00:00,2.9876293359437502,44.22803354942085 -2012-09-02 17:00:00,3.012588107082431,44.19057946177568 -2012-09-02 18:00:00,3.0124333151246523,44.154205070462574 -2012-09-02 19:00:00,3.0140028270015358,44.117694629359605 -2012-09-02 20:00:00,3.0098546578072907,44.07034620140501 -2012-09-02 21:00:00,2.9758073924441235,44.02670536397844 -2012-09-02 22:00:00,2.990967146967654,43.99352192843389 -2012-09-02 23:00:00,3.009074985888801,43.95955158164503 -2012-09-03 00:00:00,3.000495341666933,43.923561654612286 -2012-09-03 01:00:00,3.0110459271344068,43.88697604990379 -2012-09-03 02:00:00,3.0060206905119706,43.850939793631305 -2012-09-03 03:00:00,3.0119569501098264,43.82596724737862 -2012-09-03 04:00:00,3.014597836657304,43.79950300041833 -2012-09-03 05:00:00,3.009512054489213,43.77428301763397 -2012-09-03 06:00:00,3.0066559715144514,43.750988836619975 -2012-09-03 07:00:00,3.0052012249437876,43.7296784781998 -2012-09-03 08:00:00,3.0153276932087274,43.721363786345364 -2012-09-03 09:00:00,2.9994167598282444,43.69605729741855 -2012-09-03 10:00:00,3.007600437695156,43.668496705789096 -2012-09-03 11:00:00,3.0027899034242287,43.641387195144354 -2012-09-03 12:00:00,2.9998074185463866,43.61329870681713 -2012-09-03 13:00:00,2.99673193025338,43.59009084118327 -2012-09-03 14:00:00,2.9939962174410013,43.56327355864502 -2012-09-03 15:00:00,2.9901875769705244,43.541080563966524 -2012-09-03 16:00:00,2.9962132797855885,43.52250519861163 -2012-09-03 17:00:00,2.9966766799443327,43.51368468683351 -2012-09-03 18:00:00,2.9948720682842564,43.50886343720774 -2012-09-03 19:00:00,2.992126599930962,43.52464649799727 -2012-09-03 20:00:00,2.99303948269639,43.546570697720476 -2012-09-03 21:00:00,2.9868580771305835,43.550458045573286 -2012-09-03 22:00:00,2.952907959283806,43.55538154892762 -2012-09-03 23:00:00,2.9658988482580697,43.567466603826745 -2012-09-04 00:00:00,2.9606266603314704,43.54598390360719 -2012-09-04 01:00:00,2.95456174446209,43.52103310453255 -2012-09-04 02:00:00,2.9461241678989407,43.496468189292415 -2012-09-04 03:00:00,2.931467075486985,43.468500615058076 -2012-09-04 04:00:00,2.926966446295406,43.427473167822164 -2012-09-04 05:00:00,2.8940890129011665,43.33996941866531 -2012-09-04 06:00:00,2.8897869386003756,43.051886093392234 -2012-09-04 07:00:00,2.886665741170214,42.83597226777759 -2012-09-04 08:00:00,2.8750406066316496,42.6682998749009 -2012-09-04 09:00:00,2.884255509100666,42.50140677492987 -2012-09-04 10:00:00,2.8814151009817404,42.30531624358674 -2012-09-04 11:00:00,2.8749598231016704,42.17429579198169 -2012-09-04 12:00:00,2.8729435902715674,42.099319985331036 -2012-09-04 13:00:00,2.8727774707781206,42.043399399927715 -2012-09-04 14:00:00,2.878449447034257,41.91711053002084 -2012-09-04 15:00:00,2.8824193629017096,41.8360397380453 -2012-09-04 16:00:00,2.8895812766558007,41.698110524296546 -2012-09-04 17:00:00,2.8919298421336985,41.68149401932162 -2012-09-04 18:00:00,2.9073917474688593,41.70181449013749 -2012-09-04 19:00:00,2.9096664330530313,41.735681535776 -2012-09-04 20:00:00,2.935356404277367,41.79738463422424 -2012-09-04 21:00:00,2.9465556633780556,41.829818468257486 -2012-09-04 22:00:00,2.9778061376992784,41.880144064625654 -2012-09-04 23:00:00,3.003962042542107,41.92686022805069 -2012-09-05 00:00:00,3.022866738633975,41.966663503263824 -2012-09-05 01:00:00,3.044681358071111,42.04202218738168 -2012-09-05 02:00:00,3.074421795517631,42.13624628912148 -2012-09-05 03:00:00,3.1348345697398474,42.24972796086113 -2012-09-05 04:00:00,3.1937079607196677,42.397591501149286 -2012-09-05 05:00:00,3.236973917079585,42.53418030892704 -2012-09-05 06:00:00,3.262393092902685,42.64402682099192 -2012-09-05 07:00:00,3.2911434152180936,42.834113993859795 -2012-09-05 08:00:00,3.3252183804979474,43.148243767387946 -2012-09-05 09:00:00,3.359382662597948,43.47596596919079 -2012-09-05 10:00:00,3.384418963417084,43.83458060699091 -2012-09-05 11:00:00,3.4010773876994165,44.186785237159455 -2012-09-05 12:00:00,3.4164060268762246,45.131576892407374 -2012-09-05 13:00:00,3.432998774702376,47.019819584746294 -2012-09-05 14:00:00,3.4284937658210253,50.57248612801577 -2012-09-05 15:00:00,3.4520313545978785,54.499814661115046 -2012-09-05 16:00:00,3.4821342747465502,62.19468360008387 -2012-09-05 17:00:00,3.548218595964064,74.85831641653611 -2012-09-05 18:00:00,3.5953114680067015,88.15032493005012 -2012-09-05 19:00:00,3.6280318263632667,98.78375705556277 -2012-09-05 20:00:00,3.661367841756187,106.4263911158786 -2012-09-05 21:00:00,3.6645778691394644,109.52024753014673 -2012-09-05 22:00:00,3.7119287224832056,112.48029211546215 -2012-09-05 23:00:00,3.7390013937653,115.12600837841069 -2012-09-06 00:00:00,3.8170255181571124,116.94326100814361 -2012-09-06 01:00:00,3.9522834456774794,118.45225450595214 -2012-09-06 02:00:00,4.05433476651245,119.85745466424827 -2012-09-06 03:00:00,4.083944240165449,121.26859645379922 -2012-09-06 04:00:00,4.117935443764601,123.20770762547387 -2012-09-06 05:00:00,4.1394646172795,127.26287220970856 -2012-09-06 06:00:00,4.165684949661141,133.7109992436953 -2012-09-06 07:00:00,4.221103865326076,143.94208724233263 -2012-09-06 08:00:00,4.270919312205234,155.64974260651073 -2012-09-06 09:00:00,4.327550398210143,165.38147095131362 -2012-09-06 10:00:00,4.335897071139214,178.72141660414965 -2012-09-06 11:00:00,4.351635875455633,192.69951612862272 -2012-09-06 12:00:00,4.369128135155295,202.36004763173608 -2012-09-06 13:00:00,4.393923684046188,211.9376690992922 -2012-09-06 14:00:00,4.469022140530857,223.7209124339323 -2012-09-06 15:00:00,4.5916051917997125,234.50023715965804 -2012-09-06 16:00:00,4.836552692418415,248.36502328417149 -2012-09-06 17:00:00,5.066561882343288,263.0025780218573 -2012-09-06 18:00:00,5.115038998615428,278.75109553432014 -2012-09-06 19:00:00,5.1424504752516595,292.9769285538762 -2012-09-06 20:00:00,5.224926897055086,307.205482070296 -2012-09-06 21:00:00,5.260855855656052,321.08450858196045 -2012-09-06 22:00:00,5.31394020808361,337.4274240507056 -2012-09-06 23:00:00,5.322362103107623,353.97833489853724 -2012-09-07 00:00:00,5.342004027359095,368.12347818825066 -2012-09-07 01:00:00,5.360393156797066,383.55533730247856 -2012-09-07 02:00:00,5.364827386234613,403.73643062575434 -2012-09-07 03:00:00,5.40524399268774,417.8997889484127 -2012-09-07 04:00:00,5.39920631893389,431.0986489360898 -2012-09-07 05:00:00,5.392159504695104,439.51748800010824 -2012-09-07 06:00:00,5.395222369604908,443.2544789309142 -2012-09-07 07:00:00,5.420746846763645,445.42350924612447 -2012-09-07 08:00:00,5.451626000016598,447.141728511202 -2012-09-07 09:00:00,5.494594725655417,448.45909255057245 -2012-09-07 10:00:00,5.4940031042936335,449.6527968459536 -2012-09-07 11:00:00,5.578472115342999,450.4237259519013 -2012-09-07 12:00:00,5.61363481555796,450.25013044135466 -2012-09-07 13:00:00,5.643668225505927,449.7937147373426 -2012-09-07 14:00:00,5.651230465343617,449.512666126573 -2012-09-07 15:00:00,5.649112760766005,449.29423931910355 -2012-09-07 16:00:00,5.653672116802537,449.0946813858914 -2012-09-07 17:00:00,5.646817807565422,448.88440812342776 -2012-09-07 18:00:00,5.6516795191659766,448.71680381711735 -2012-09-07 19:00:00,5.689568397893372,448.60797919236944 -2012-09-07 20:00:00,5.875973071283318,448.5836272030997 -2012-09-07 21:00:00,6.275066252906005,448.66261988647625 -2012-09-07 22:00:00,7.5033672273043415,448.8345174315609 -2012-09-07 23:00:00,10.493015656337816,448.9601691684475 -2012-09-08 00:00:00,13.292286378549283,449.02160105992664 -2012-09-08 01:00:00,15.220529034955398,449.03463304522796 -2012-09-08 02:00:00,16.395429774345764,449.04561596979204 -2012-09-08 03:00:00,16.91638382464812,449.07482909499396 -2012-09-08 04:00:00,17.2399031727019,449.18511757281067 -2012-09-08 05:00:00,17.387890298606976,449.3007281050867 -2012-09-08 06:00:00,17.522236824701647,449.4216902095321 -2012-09-08 07:00:00,17.63761961876718,449.5929504755813 -2012-09-08 08:00:00,17.755299631344336,449.8246204694076 -2012-09-08 09:00:00,17.92173892824098,450.1596040830624 -2012-09-08 10:00:00,18.25075707548149,450.50727089437174 -2012-09-08 11:00:00,18.817643268045884,450.72304334191756 -2012-09-08 12:00:00,19.262642685364153,450.7823594557944 -2012-09-08 13:00:00,19.480568330721916,450.72707179357513 -2012-09-08 14:00:00,19.520423480082112,450.6905674203637 -2012-09-08 15:00:00,19.540412537748626,450.6727266796496 -2012-09-08 16:00:00,19.55345330771216,450.63734178895373 -2012-09-08 17:00:00,19.56959979407562,450.6093163953896 -2012-09-08 18:00:00,19.57528729374594,450.585587454422 -2012-09-08 19:00:00,19.587008798226645,450.5599504038618 -2012-09-08 20:00:00,19.603314178374415,450.5197144144548 -2012-09-08 21:00:00,19.59228026483576,450.5010839140589 -2012-09-08 22:00:00,19.632850067072063,450.4825584555259 -2012-09-08 23:00:00,19.62985556019187,450.4534294451 -2012-09-09 00:00:00,19.63586473574046,450.42323293897493 -2012-09-09 01:00:00,19.631997077316587,450.38847041821265 -2012-09-09 02:00:00,19.618295726820204,450.3578419117 -2012-09-09 03:00:00,19.63074469326469,450.3249733278366 -2012-09-09 04:00:00,19.628899444239106,450.30536479978934 -2012-09-09 05:00:00,19.625749511533506,450.29349353262484 -2012-09-09 06:00:00,19.611678602660323,450.31445176513716 -2012-09-09 07:00:00,19.614287267795085,450.39807384276486 -2012-09-09 08:00:00,19.590272692432475,450.55861722727695 -2012-09-09 09:00:00,19.56223699475433,450.79288027529907 -2012-09-09 10:00:00,19.554665806139056,451.08729694282937 -2012-09-09 11:00:00,19.55407767069364,451.33809809281496 -2012-09-09 12:00:00,19.54963156563825,451.4597021092983 -2012-09-09 13:00:00,19.54635103501186,451.5219217711507 -2012-09-09 14:00:00,19.552407495436718,451.5438091718691 -2012-09-09 15:00:00,19.538564513639777,451.54474725130075 -2012-09-09 16:00:00,19.577916866966213,451.54373644978955 -2012-09-09 17:00:00,19.550143923903576,451.5305145002509 -2012-09-09 18:00:00,19.544590427749483,451.5131771121897 -2012-09-09 19:00:00,19.53930195412624,451.50685903221034 -2012-09-09 20:00:00,19.54469083027553,451.50281106916657 -2012-09-09 21:00:00,19.56823650351905,451.48669471922176 -2012-09-09 22:00:00,19.55428793136601,451.4767098477722 -2012-09-09 23:00:00,19.537517041613626,451.46671137852405 -2012-09-10 00:00:00,19.541934811979242,451.4557586126876 -2012-09-10 01:00:00,19.52790536929075,451.4567102645142 -2012-09-10 02:00:00,19.518185743707672,451.4566559008067 -2012-09-10 03:00:00,19.517949482338555,451.44864487203034 -2012-09-10 04:00:00,19.516134102692895,451.4320574362184 -2012-09-10 05:00:00,19.50791157190145,451.41739627413443 -2012-09-10 06:00:00,19.505537487040495,451.4144732519129 -2012-09-10 07:00:00,19.504571917645993,451.47776015239083 -2012-09-10 08:00:00,19.502859139758275,451.59705728409983 -2012-09-10 09:00:00,19.50270589896066,451.77256205953194 -2012-09-10 10:00:00,19.499931797847502,451.94435364125786 -2012-09-10 11:00:00,19.49764393896299,452.0677604127076 -2012-09-10 12:00:00,19.500986570888486,452.1211474970062 -2012-09-10 13:00:00,19.5011336369386,452.12859113184226 -2012-09-10 14:00:00,19.504134597242107,452.1217100341531 -2012-09-10 15:00:00,19.5022850259351,452.1032518861361 -2012-09-10 16:00:00,19.51144754953317,452.08339940932626 -2012-09-10 17:00:00,19.538915800310335,452.05488659558426 -2012-09-10 18:00:00,19.552600947207097,452.013397892066 -2012-09-10 19:00:00,19.565801141710736,451.95194581137537 -2012-09-10 20:00:00,19.56966475521008,451.87523993093316 -2012-09-10 21:00:00,19.572044410935494,451.8036077309836 -2012-09-10 22:00:00,19.61222294575162,451.7486978605267 -2012-09-10 23:00:00,19.608013776114646,451.68785957515075 -2012-09-11 00:00:00,19.60632485551556,451.6335086756423 -2012-09-11 01:00:00,19.606969014721297,451.58862433832513 -2012-09-11 02:00:00,19.61682959981714,451.55454640776213 -2012-09-11 03:00:00,19.600870443623947,451.505542898532 -2012-09-11 04:00:00,19.598868640156546,451.46016542284025 -2012-09-11 05:00:00,19.623685930624806,451.45424615077434 -2012-09-11 06:00:00,19.62196966028933,451.49244797898314 -2012-09-11 07:00:00,19.621922485573556,451.62855824069254 -2012-09-11 08:00:00,19.633915656918678,451.8515185438658 -2012-09-11 09:00:00,19.628349350050243,452.09782831850646 -2012-09-11 10:00:00,19.64475818777331,452.2787856022987 -2012-09-11 11:00:00,19.6525034404911,452.3852213316353 -2012-09-11 12:00:00,19.678208380904735,452.4454252519059 -2012-09-11 13:00:00,19.696876253731887,452.43581580999836 -2012-09-11 14:00:00,19.72477047109194,452.4082094210114 -2012-09-11 15:00:00,19.758637532141908,452.36155397381486 -2012-09-11 16:00:00,19.804624418381046,452.30375431549413 -2012-09-11 17:00:00,19.868958619398136,452.23688271837636 -2012-09-11 18:00:00,19.94358292336074,452.15694259912704 -2012-09-11 19:00:00,20.027613743056833,452.0598391182699 -2012-09-11 20:00:00,20.118075085776805,451.9583286149571 -2012-09-11 21:00:00,20.203894481237374,451.8611886225116 -2012-09-11 22:00:00,20.30362279901116,451.76038336673173 -2012-09-11 23:00:00,20.372045416792922,451.6492843336637 -2012-09-12 00:00:00,20.47723244773067,451.5593338829791 -2012-09-12 01:00:00,20.558871590453602,451.4349922727636 -2012-09-12 02:00:00,20.606458819530555,451.2872642732389 -2012-09-12 03:00:00,20.64379304468008,451.12967480512066 -2012-09-12 04:00:00,20.619613682366364,450.9310774534469 -2012-09-12 05:00:00,20.661488933162794,450.7475616191714 -2012-09-12 06:00:00,20.722172053538635,450.6506593344992 -2012-09-12 07:00:00,20.750593985304544,450.5992784298753 -2012-09-12 08:00:00,20.77532685661438,450.5262920565083 -2012-09-12 09:00:00,20.769297790259333,450.40223860421906 -2012-09-12 10:00:00,20.804160353851287,450.17879535491966 -2012-09-12 11:00:00,20.81045823331203,449.8984544693064 -2012-09-12 12:00:00,20.828986126224276,448.96953262081917 -2012-09-12 13:00:00,20.830079533151697,447.0461412616631 -2012-09-12 14:00:00,20.85111065556557,443.44947608161715 -2012-09-12 15:00:00,20.83702774906366,439.4820305361762 -2012-09-12 16:00:00,20.81170336352426,431.7319744268955 -2012-09-12 17:00:00,20.77175999660066,419.0256489927902 -2012-09-12 18:00:00,20.742714869264542,405.68823174843925 -2012-09-12 19:00:00,20.716289082176633,395.0092800583542 -2012-09-12 20:00:00,20.701172344490672,387.33247484295185 -2012-09-12 21:00:00,20.68690201358607,384.18970850837985 -2012-09-12 22:00:00,20.67490801520951,381.1928586696657 -2012-09-12 23:00:00,20.65456186369642,378.5117821994121 -2012-09-13 00:00:00,20.583765161285033,376.6625489952013 -2012-09-13 01:00:00,20.436856358166168,375.1147363219717 -2012-09-13 02:00:00,20.34374900290317,373.6851867698617 -2012-09-13 03:00:00,20.319042222159144,372.2408583444248 -2012-09-13 04:00:00,20.292719453625764,370.2709170313434 -2012-09-13 05:00:00,20.291219900063258,366.22192073187676 -2012-09-13 06:00:00,20.286541538827436,359.8091572506691 -2012-09-13 07:00:00,20.253214753847928,349.67203028013927 -2012-09-13 08:00:00,20.23564368186278,338.10897396371604 -2012-09-13 09:00:00,20.21196661912048,328.5141159544723 -2012-09-13 10:00:00,20.202908759446903,315.29098579721824 -2012-09-13 11:00:00,20.226904768078867,301.4144241884631 -2012-09-13 12:00:00,20.206477571458702,291.77876522006704 -2012-09-13 13:00:00,20.17880388071095,282.2209406102417 -2012-09-13 14:00:00,20.088931841756235,270.42705493279504 -2012-09-13 15:00:00,19.97330914465401,259.64337224389675 -2012-09-13 16:00:00,19.725727743445752,245.77579386996672 -2012-09-13 17:00:00,19.469005209374032,231.14043838237046 -2012-09-13 18:00:00,19.416852873543917,215.40564778558573 -2012-09-13 19:00:00,19.386252656202846,201.22939310119202 -2012-09-13 20:00:00,19.300033553419674,187.11419346197164 -2012-09-13 21:00:00,19.231523796731167,173.37483624083163 -2012-09-13 22:00:00,19.202951970699253,157.28060715491037 -2012-09-13 23:00:00,19.191991706124576,140.99784135609877 -2012-09-14 00:00:00,19.171246986200156,127.01018093252458 -2012-09-14 01:00:00,19.151538369123553,111.70480626358544 -2012-09-14 02:00:00,19.146219130332597,91.70498188094552 -2012-09-14 03:00:00,19.145450924403924,77.71963744956152 -2012-09-14 04:00:00,19.145702474707356,64.69578333916455 -2012-09-14 05:00:00,19.145754216208086,56.442345587962045 -2012-09-14 06:00:00,19.14478012170421,52.83317905154114 -2012-09-14 07:00:00,19.127092518405163,50.83264009687618 -2012-09-14 08:00:00,19.119680142699252,49.33498123967856 -2012-09-14 09:00:00,19.11335265320021,48.21849402165701 -2012-09-14 10:00:00,19.152197715931084,47.15647610776129 -2012-09-14 11:00:00,19.106310693610688,46.27086640874314 -2012-09-14 12:00:00,19.096034748768112,45.9496380630578 -2012-09-14 13:00:00,19.088823344962748,46.05253602462585 -2012-09-14 14:00:00,19.10459267746094,46.189418888507404 -2012-09-14 15:00:00,19.11504719478096,46.41484851700602 -2012-09-14 16:00:00,19.11354691631998,46.67215883721177 -2012-09-14 17:00:00,19.13522627942957,46.93619115832508 -2012-09-14 18:00:00,19.15153955226805,47.13946540601819 -2012-09-14 19:00:00,19.175688349756566,47.3494191592503 -2012-09-14 20:00:00,19.08838564332361,47.48393945679147 -2012-09-14 21:00:00,18.759167455618602,47.53508589859547 -2012-09-14 22:00:00,17.612544598623337,47.52668773364546 -2012-09-14 23:00:00,14.709011224552798,47.64863007719136 -2012-09-15 00:00:00,11.989914645597958,47.789134898788184 -2012-09-15 01:00:00,10.138483275226749,47.904555899476115 -2012-09-15 02:00:00,9.04993868696139,48.012891137681734 -2012-09-15 03:00:00,8.642902408487952,48.15410001579692 -2012-09-15 04:00:00,8.47232111470441,48.22558000364591 -2012-09-15 05:00:00,8.448900602994952,48.29263066348739 -2012-09-15 06:00:00,8.397322715878156,48.439744926045 -2012-09-15 07:00:00,8.352968915166768,48.68716203293085 -2012-09-15 08:00:00,8.279981190937573,49.13457814122595 -2012-09-15 09:00:00,8.13466902215779,49.46423168373012 -2012-09-15 10:00:00,7.827356370333257,49.70033125021859 -2012-09-15 11:00:00,7.313847623631527,49.89458151109455 -2012-09-15 12:00:00,6.908105362491126,50.251906074187325 -2012-09-15 13:00:00,6.770210756525995,50.77313813332113 -2012-09-15 14:00:00,6.8508398397376356,51.35973733651219 -2012-09-15 15:00:00,6.898425261948649,51.91863034899162 -2012-09-15 16:00:00,6.943289166774582,52.409232584553465 -2012-09-15 17:00:00,6.975191632679447,52.77865365540992 -2012-09-15 18:00:00,6.999104262672528,53.14964686134741 -2012-09-15 19:00:00,7.0214089078667365,53.60441653977737 -2012-09-15 20:00:00,7.0662508087398015,54.01236671346017 -2012-09-15 21:00:00,7.1366985463087245,54.245745089591836 -2012-09-15 22:00:00,7.263356059728648,54.445048059927046 -2012-09-15 23:00:00,7.476130989075646,54.601123573011634 -2012-09-16 00:00:00,7.738163073982241,54.72802051576156 -2012-09-16 01:00:00,8.032010496077971,54.93682672329365 -2012-09-16 02:00:00,8.306495848335592,55.18182535221695 -2012-09-16 03:00:00,8.472834209854891,55.36781081171686 -2012-09-16 04:00:00,8.645812325130454,55.506057283977526 -2012-09-16 05:00:00,8.771954420318377,55.61921437552877 -2012-09-16 06:00:00,8.855361746085443,55.659128761066526 -2012-09-16 07:00:00,8.94227241002321,55.64579914691844 -2012-09-16 08:00:00,9.050821023538193,55.592137129372766 -2012-09-16 09:00:00,9.148459257290245,55.482839668569305 -2012-09-16 10:00:00,9.233265057032872,55.26107998747499 -2012-09-16 11:00:00,9.318505419710984,55.03811713352992 -2012-09-16 12:00:00,9.473198502373169,54.95390377413434 -2012-09-16 13:00:00,9.60380719072642,54.89434667569152 -2012-09-16 14:00:00,9.742015331334615,54.87000447804583 -2012-09-16 15:00:00,9.864941429685349,54.835422605094266 -2012-09-16 16:00:00,9.996615681368597,54.79466049403467 -2012-09-16 17:00:00,10.138137779549822,54.77809381156491 -2012-09-16 18:00:00,10.239120494596426,54.75929316279048 -2012-09-16 19:00:00,10.326066587052283,54.72740791630889 -2012-09-16 20:00:00,10.388725236843706,54.691071367839825 -2012-09-16 21:00:00,10.460494539023312,54.6710983001879 -2012-09-16 22:00:00,10.514056772006779,54.64322392432885 -2012-09-16 23:00:00,10.524319845444811,54.60160560848699 -2012-09-17 00:00:00,10.548599049367326,54.57434903604408 -2012-09-17 01:00:00,10.566015524615471,54.53163614535209 -2012-09-17 02:00:00,10.585745202737328,54.48940136884718 -2012-09-17 03:00:00,10.622821533961293,54.45482507353929 -2012-09-17 04:00:00,10.69574256387041,54.42341308427638 -2012-09-17 05:00:00,10.85693864917016,54.42405801911879 -2012-09-17 06:00:00,10.94570002941819,54.44537973276113 -2012-09-17 07:00:00,10.995976839407831,54.461733014850616 -2012-09-17 08:00:00,11.039608097296574,54.4640348577009 -2012-09-17 09:00:00,11.080543755356592,54.36898650816493 -2012-09-17 10:00:00,11.110994961220015,54.2032134671137 -2012-09-17 11:00:00,11.127679408260155,54.05393097041392 -2012-09-17 12:00:00,11.158273730713564,53.96308247474332 -2012-09-17 13:00:00,11.172511250404666,53.90348904889666 -2012-09-17 14:00:00,11.194327034167017,53.870954642509425 -2012-09-17 15:00:00,11.218029920100953,53.84274138540263 -2012-09-17 16:00:00,11.253731422507286,53.83199374302366 -2012-09-17 17:00:00,11.295717902258469,53.84081951285259 -2012-09-17 18:00:00,11.328593505127072,53.861405798738815 -2012-09-17 19:00:00,11.38559675595671,53.8580771265882 -2012-09-17 20:00:00,11.47316717106642,53.85763230529707 -2012-09-17 21:00:00,11.567331460715693,53.854131584724215 -2012-09-17 22:00:00,11.662406278294345,53.84545485686108 -2012-09-17 23:00:00,11.781613354516518,53.87729518591942 -2012-09-18 00:00:00,11.919004655713175,53.98524283193879 -2012-09-18 01:00:00,12.163244731415313,54.1803061699323 -2012-09-18 02:00:00,12.43050054219275,54.402433850015896 -2012-09-18 03:00:00,12.553643493804483,54.407946915866724 -2012-09-18 04:00:00,12.688541385147193,54.52380935028723 -2012-09-18 05:00:00,12.83645434677299,54.59358746066558 -2012-09-18 06:00:00,13.041364651481596,54.610413614309444 -2012-09-18 07:00:00,13.145237737408038,54.55880356815995 -2012-09-18 08:00:00,13.188797580532112,54.45136171532867 -2012-09-18 09:00:00,13.190910542235779,54.24689505635923 -2012-09-18 10:00:00,13.183449078349533,54.05336449339188 -2012-09-18 11:00:00,13.191581351217454,53.931154825668756 -2012-09-18 12:00:00,13.171140626621106,53.85036760533337 -2012-09-18 13:00:00,13.150084494276467,53.82610927623638 -2012-09-18 14:00:00,13.09662215551245,53.82148074198854 -2012-09-18 15:00:00,13.074177975385812,53.8339783164588 -2012-09-18 16:00:00,12.983641617136671,53.823480396676544 -2012-09-18 17:00:00,12.915782000573467,53.817784717208106 -2012-09-18 18:00:00,12.826697478869638,53.83189045306335 -2012-09-18 19:00:00,12.720398719782969,53.84399263320973 -2012-09-18 20:00:00,12.604164801606789,53.84804880900059 -2012-09-18 21:00:00,12.482448017640106,53.843355022780436 -2012-09-18 22:00:00,12.342340649119611,53.836147180270586 -2012-09-18 23:00:00,12.249118971763217,53.846445688763104 -2012-09-19 00:00:00,12.119955100848024,53.839062381944 -2012-09-19 01:00:00,12.012377848274996,53.82994816887339 -2012-09-19 02:00:00,11.934222762355189,53.82264095280388 -2012-09-19 03:00:00,11.829165820701533,53.80804680906784 -2012-09-19 04:00:00,11.794684814663462,53.79891279352617 -2012-09-19 05:00:00,11.712557475251941,53.78604486114262 -2012-09-19 06:00:00,11.62191036092722,53.75750998184941 -2012-09-19 07:00:00,11.560361494876304,53.64573057511296 -2012-09-19 08:00:00,11.511894256752496,53.45727347561363 -2012-09-19 09:00:00,11.465050346090635,53.24030592483395 -2012-09-19 10:00:00,11.438019643422312,53.08001382148367 -2012-09-19 11:00:00,11.402323041223886,52.95299223728428 -2012-09-19 12:00:00,11.364255220597201,52.88326582591661 -2012-09-19 13:00:00,11.342135591108056,52.864298120216944 -2012-09-19 14:00:00,11.323122560821842,52.85052579179513 -2012-09-19 15:00:00,11.307510055932607,52.84308244999125 -2012-09-19 16:00:00,11.29451637182895,52.83075499236722 -2012-09-19 17:00:00,11.267493859967251,52.822826344568696 -2012-09-19 18:00:00,11.243402150724924,52.810738442895335 -2012-09-19 19:00:00,11.231265442054996,52.79849423586729 -2012-09-19 20:00:00,11.207954257578098,52.7781784281119 -2012-09-19 21:00:00,11.214357901380312,52.76088503272282 -2012-09-19 22:00:00,11.172970077479343,52.73894835526232 -2012-09-19 23:00:00,11.159180026536724,52.71516311615511 -2012-09-20 00:00:00,11.15729021016159,52.69007243519935 -2012-09-20 01:00:00,11.153454125769244,52.6656082554145 -2012-09-20 02:00:00,11.143629835147909,52.63364063163802 -2012-09-20 03:00:00,11.129458112902745,52.603773161859834 -2012-09-20 04:00:00,11.118160356363264,52.57338798431547 -2012-09-20 05:00:00,11.099264779218807,52.526296568802536 -2012-09-20 06:00:00,11.072042617887307,52.48434541635317 -2012-09-20 07:00:00,11.045481323002008,52.43425140580149 -2012-09-20 08:00:00,11.021841641782377,52.336571118648415 -2012-09-20 09:00:00,11.012946800696614,52.18687681945458 -2012-09-20 10:00:00,11.001920475497583,52.03474295824358 -2012-09-20 11:00:00,10.959582434066167,51.90061470807327 -2012-09-20 12:00:00,10.95710153026464,51.8214536562759 -2012-09-20 13:00:00,10.957016399851113,51.75009493390246 -2012-09-20 14:00:00,10.973741515426244,51.70520979196551 -2012-09-20 15:00:00,10.956919522275061,51.65646920678359 -2012-09-20 16:00:00,10.955681353602863,51.613450547232574 -2012-09-20 17:00:00,10.989700826108692,51.59303088490168 -2012-09-20 18:00:00,10.98845923807225,51.70306357203766 -2012-09-20 19:00:00,10.98727881989232,51.95383256408399 -2012-09-20 20:00:00,10.986264779928817,52.16367347841195 -2012-09-20 21:00:00,11.01431633248042,52.08273918652265 -2012-09-20 22:00:00,11.021955421373477,51.96934124046547 -2012-09-20 23:00:00,10.982828733748942,51.680516641304685 -2012-09-21 00:00:00,10.97901472182747,51.474667712791245 -2012-09-21 01:00:00,10.97769894601262,51.31157676474903 -2012-09-21 02:00:00,10.98513806692329,51.1343555937127 -2012-09-21 03:00:00,10.972898651038332,50.9766650907673 -2012-09-21 04:00:00,10.965853431670222,50.90512762455655 -2012-09-21 05:00:00,10.957272903096664,50.94129663706287 -2012-09-21 06:00:00,10.944108711057803,51.18268214017204 -2012-09-21 07:00:00,10.938147513861512,51.672074889007575 -2012-09-21 08:00:00,10.898564812858229,51.879301936851746 -2012-09-21 09:00:00,10.867482235409769,51.861444495694144 -2012-09-21 10:00:00,10.822751585019454,51.94158883040334 -2012-09-21 11:00:00,10.785861934058207,52.08345613897352 -2012-09-21 12:00:00,10.756773731949233,51.94678737324982 -2012-09-21 13:00:00,10.730406034791875,51.66785745592044 -2012-09-21 14:00:00,10.705612120437687,51.535889923513786 -2012-09-21 15:00:00,10.694060099764487,51.366962095502295 -2012-09-21 16:00:00,10.683820985190003,51.3787137390084 -2012-09-21 17:00:00,10.658845132490761,51.56657471983391 -2012-09-21 18:00:00,10.633454482403915,51.90194563290429 -2012-09-21 19:00:00,10.567380215983311,52.792812234698616 -2012-09-21 20:00:00,10.46425956438484,53.7589568549706 -2012-09-21 21:00:00,10.39127547333282,54.48016009610305 -2012-09-21 22:00:00,10.300428001037083,55.719398449805006 -2012-09-21 23:00:00,10.214320457607167,56.64446634704901 -2012-09-22 00:00:00,10.130825073580196,57.130816024942106 -2012-09-22 01:00:00,10.049463769444804,57.82514186092612 -2012-09-22 02:00:00,9.958707936696646,59.56018585530565 -2012-09-22 03:00:00,9.837855125984579,59.74693983317505 -2012-09-22 04:00:00,9.67964287485984,60.379432087227876 -2012-09-22 05:00:00,9.528925100044304,60.79699005423993 -2012-09-22 06:00:00,9.441940795418619,60.80736517445389 -2012-09-22 07:00:00,9.36546735908653,60.49833573667314 -2012-09-22 08:00:00,9.318164238870342,59.91440322473418 -2012-09-22 09:00:00,9.296023088166063,59.30230342920379 -2012-09-22 10:00:00,9.268720618086714,58.7683385378775 -2012-09-22 11:00:00,9.231914624600678,58.47878568427889 -2012-09-22 12:00:00,9.188441802775003,58.29689332020824 -2012-09-22 13:00:00,9.104655577445442,58.53140669621689 -2012-09-22 14:00:00,8.979713972770933,61.17080319859739 -2012-09-22 15:00:00,8.90862601341134,61.80627004665596 -2012-09-22 16:00:00,8.842164078621073,65.3996381245556 -2012-09-22 17:00:00,8.793895289137142,66.53655618014959 -2012-09-22 18:00:00,8.789740534570555,66.32701425417862 -2012-09-22 19:00:00,8.781184935829147,65.87117373396066 -2012-09-22 20:00:00,8.71532925090953,65.45387703863219 -2012-09-22 21:00:00,8.654527515830448,65.19107415490771 -2012-09-22 22:00:00,8.486370763170688,65.00584471323683 -2012-09-22 23:00:00,8.26464155564282,64.92094124055596 -2012-09-23 00:00:00,7.991319100821258,64.82902471625778 -2012-09-23 01:00:00,7.692882660991269,64.66541238195417 -2012-09-23 02:00:00,7.427457297329644,64.43075698128457 -2012-09-23 03:00:00,7.2418924426153755,64.22201564958198 -2012-09-23 04:00:00,7.060579063747825,64.05589985958598 -2012-09-23 05:00:00,6.934457655718301,63.90727214149748 -2012-09-23 06:00:00,6.8598312638338905,63.806744418298045 -2012-09-23 07:00:00,6.767164776568164,63.70340558119284 -2012-09-23 08:00:00,6.678670937036537,63.56214143600255 -2012-09-23 09:00:00,6.602250906345059,63.37800802189208 -2012-09-23 10:00:00,6.5191593072706215,63.25221472306392 -2012-09-23 11:00:00,6.435028113279716,63.16938363393316 -2012-09-23 12:00:00,6.279482901294641,63.0696839208561 -2012-09-23 13:00:00,6.153215842828946,63.01002803027584 -2012-09-23 14:00:00,6.015979049156389,62.95638259946285 -2012-09-23 15:00:00,5.896892292795211,62.92791371276744 -2012-09-23 16:00:00,5.749995645828482,62.91120369771995 -2012-09-23 17:00:00,5.616616052930899,62.89419936404658 -2012-09-23 18:00:00,5.517831058719932,62.876956069568124 -2012-09-23 19:00:00,5.429599060724878,62.86111284503965 -2012-09-23 20:00:00,5.364535899503475,62.847391662956774 -2012-09-23 21:00:00,5.289455683397155,62.82096622180172 -2012-09-23 22:00:00,5.2301242208363785,62.80200440644369 -2012-09-23 23:00:00,5.222071333176553,62.80093434807772 -2012-09-24 00:00:00,5.19523137876382,62.77971049709939 -2012-09-24 01:00:00,5.1760727836225735,62.760237635571954 -2012-09-24 02:00:00,5.168654880832841,62.74858500020131 -2012-09-24 03:00:00,5.115605637012358,62.72026481103086 -2012-09-24 04:00:00,5.037011150297394,62.69819416897643 -2012-09-24 05:00:00,4.908481563654485,62.6783942314252 -2012-09-24 06:00:00,4.817985901029158,62.61120484859467 -2012-09-24 07:00:00,4.764566293195767,62.499462502268315 -2012-09-24 08:00:00,4.718899551163928,62.33116129487415 -2012-09-24 09:00:00,4.678232884496925,62.189459350770115 -2012-09-24 10:00:00,4.634139944175366,62.10550781652725 -2012-09-24 11:00:00,4.6247174422138215,62.07000041321941 -2012-09-24 12:00:00,4.587862640580102,62.03885404027112 -2012-09-24 13:00:00,4.570886458794461,62.01720023354451 -2012-09-24 14:00:00,4.539933660383282,61.98335922192197 -2012-09-24 15:00:00,4.515297553779839,61.94992187035444 -2012-09-24 16:00:00,4.455993795169189,61.90021751430362 -2012-09-24 17:00:00,4.360092899902646,61.82808533868246 -2012-09-24 18:00:00,4.309144876298913,61.75653651496611 -2012-09-24 19:00:00,4.2373660467526895,61.71416637157934 -2012-09-24 20:00:00,4.125133907416908,61.659520036000394 -2012-09-24 21:00:00,4.0396833488532256,61.62644373777789 -2012-09-24 22:00:00,3.901345718678647,61.58384152116698 -2012-09-24 23:00:00,3.7756777784428164,61.49606667550858 -2012-09-25 00:00:00,3.6352181399655144,61.34464817718971 -2012-09-25 01:00:00,3.3898752112267494,61.108473279498995 -2012-09-25 02:00:00,3.121788831574568,60.8427726118032 -2012-09-25 03:00:00,3.004764644645112,60.7932842880831 -2012-09-25 04:00:00,2.8427095829771876,60.63293456458111 -2012-09-25 05:00:00,2.7137846130196195,60.50867895931696 -2012-09-25 06:00:00,2.5167872079453124,60.395419808792774 -2012-09-25 07:00:00,2.421710336820561,60.2659011529246 -2012-09-25 08:00:00,2.383837185103109,60.098229206587376 -2012-09-25 09:00:00,2.3782786595096534,59.986017982924096 -2012-09-25 10:00:00,2.3669310644433383,59.9267281732945 -2012-09-25 11:00:00,2.326289600396054,59.870826223622444 -2012-09-25 12:00:00,0.0,59.82292790817238 -2012-09-25 13:00:00,0.0,59.7847019844911 -2012-09-25 14:00:00,2.3251090930468683,59.74163831230795 -2012-09-25 15:00:00,0.0,59.69679722679962 -2012-09-25 16:00:00,0.0,59.667928589284095 -2012-09-25 17:00:00,0.0,59.62185985876492 -2012-09-25 18:00:00,0.0,59.56714690104417 -2012-09-25 19:00:00,0.0,59.518095024321255 -2012-09-25 20:00:00,0.0,59.475139041855854 -2012-09-25 21:00:00,0.0,59.44139426591724 -2012-09-25 22:00:00,0.0,59.406347940297195 -2012-09-25 23:00:00,0.0,59.37836082805495 -2012-09-26 00:00:00,0.0,59.34943718159662 -2012-09-26 01:00:00,0.0,59.32184248711915 -2012-09-26 02:00:00,0.0,59.29601393270758 -2012-09-26 03:00:00,2.346415516964094,59.27136133031551 -2012-09-26 04:00:00,2.3722596501927122,59.23995680353025 -2012-09-26 05:00:00,2.392820732325157,59.22178362554746 -2012-09-26 06:00:00,2.4031380558098747,59.16227456680998 -2012-09-26 07:00:00,2.409666357788235,59.063796598190194 -2012-09-26 08:00:00,2.4103379381127614,58.94520706128852 -2012-09-26 09:00:00,2.411557443959126,58.86415856532119 -2012-09-26 10:00:00,2.407863010619166,58.81993319978889 -2012-09-26 11:00:00,2.404860986883796,58.797606237680995 -2012-09-26 12:00:00,2.4040292204773874,58.766268430820894 -2012-09-26 13:00:00,2.4036339884799904,58.740147721535195 -2012-09-26 14:00:00,2.4070169428768144,58.709947656404054 -2012-09-26 15:00:00,2.401124942008531,58.68126628701639 -2012-09-26 16:00:00,2.407197644571069,58.660737011118826 -2012-09-26 17:00:00,2.4081774123091693,58.633935825762286 -2012-09-26 18:00:00,2.408089303825795,58.65971616226619 -2012-09-26 19:00:00,2.409928540789674,58.75695774133868 -2012-09-26 20:00:00,2.4276192357628177,58.89029656753843 -2012-09-26 21:00:00,2.4157091739311465,59.10620073946725 -2012-09-26 22:00:00,2.4315835977069593,59.424557253892885 -2012-09-26 23:00:00,2.44305354206024,59.687279581114026 -2012-09-27 00:00:00,2.4424320544216878,59.81192987900413 -2012-09-27 01:00:00,2.436159741689126,59.9082343268624 -2012-09-27 02:00:00,2.430277085593671,59.98317484201425 -2012-09-27 03:00:00,2.4449689144133924,60.023122542136036 -2012-09-27 04:00:00,2.4078228832849415,60.02959554595491 -2012-09-27 05:00:00,2.409908723333625,60.024479369405825 -2012-09-27 06:00:00,2.4092666867964585,59.98484556629373 -2012-09-27 07:00:00,2.408302503959499,59.88937552915993 -2012-09-27 08:00:00,2.3915825116146827,59.780468763834655 -2012-09-27 09:00:00,2.4047008725048924,59.72823608041319 -2012-09-27 10:00:00,2.4027643701684096,59.69233069889976 -2012-09-27 11:00:00,2.401056921104694,59.66267779134333 -2012-09-27 12:00:00,2.400414884567527,59.67454345598123 -2012-09-27 13:00:00,2.3965637120438457,59.68645110882318 -2012-09-27 14:00:00,2.3777492022293405,59.75877838007199 -2012-09-27 15:00:00,2.3920705029829974,59.82027601624875 -2012-09-27 16:00:00,2.35941413060345,59.94062562199821 -2012-09-27 17:00:00,2.3544414833539866,60.160260579071895 -2012-09-27 18:00:00,2.353573944406965,60.23510682623466 -2012-09-27 19:00:00,2.3517048147465878,60.27069269477373 -2012-09-27 20:00:00,2.3655786969754864,60.439403121248745 -2012-09-27 21:00:00,2.349380443754579,60.72615403936794 -2012-09-27 22:00:00,2.347350189579325,60.91777841013823 -2012-09-27 23:00:00,2.3466432890232003,61.12158720719518 -2012-09-28 00:00:00,2.3472900621615294,61.31328721388123 -2012-09-28 01:00:00,2.3445268316205325,61.49356837073846 -2012-09-28 02:00:00,2.347106487200382,61.632822392411946 -2012-09-28 03:00:00,2.345792348614445,61.678659916452744 -2012-09-28 04:00:00,2.343503024866584,61.648015253967685 -2012-09-28 05:00:00,2.347361237771816,61.47174452148257 -2012-09-28 06:00:00,2.367825410582071,61.09319413565044 -2012-09-28 07:00:00,2.3761935927053712,60.39626813326105 -2012-09-28 08:00:00,2.399950084241735,59.951573301421256 -2012-09-28 09:00:00,2.3716433448114547,59.7100691554799 -2012-09-28 10:00:00,2.3770415931697326,59.42732514646652 -2012-09-28 11:00:00,2.380300404403868,59.18906608501247 -2012-09-28 12:00:00,2.377768830148119,59.494941478019186 -2012-09-28 13:00:00,2.3751131347728824,60.53255762437796 -2012-09-28 14:00:00,2.373653233707489,63.20956155361155 -2012-09-28 15:00:00,2.374323824783042,64.46648814938231 -2012-09-28 16:00:00,2.3697858564260166,66.14440223296413 -2012-09-28 17:00:00,2.377698351286384,67.17214504689655 -2012-09-28 18:00:00,2.376109097195207,67.5976963701136 -2012-09-28 19:00:00,2.3742449770866862,66.75873955491487 -2012-09-28 20:00:00,2.360227722240126,65.90703655278132 -2012-09-28 21:00:00,2.349251218231138,65.24896235324923 -2012-09-28 22:00:00,2.3423331490564663,64.21569347656246 -2012-09-28 23:00:00,2.342757093193867,63.30292411703842 -2012-09-29 00:00:00,2.340843506183505,62.62076393104254 -2012-09-29 01:00:00,2.3386105659875636,61.681596846393305 -2012-09-29 02:00:00,2.3416099592011053,59.73320434281904 -2012-09-29 03:00:00,2.342998040245325,59.28152555513287 -2012-09-29 04:00:00,2.3369761749087288,58.38188604456363 -2012-09-29 05:00:00,2.3653628322541653,57.70405116240258 -2012-09-29 06:00:00,2.3637256828758764,57.35519688275385 -2012-09-29 07:00:00,2.3656522329227756,57.177997660748574 -2012-09-29 08:00:00,2.3636913374506623,57.016834423214796 -2012-09-29 09:00:00,2.3614420271706678,56.903862930915736 -2012-09-29 10:00:00,2.353006365520346,56.76851746533283 -2012-09-29 11:00:00,2.361216371875911,56.57646204688717 -2012-09-29 12:00:00,2.360938965789704,56.234978877490406 -2012-09-29 13:00:00,2.3607653097995565,55.42514610750181 -2012-09-29 14:00:00,2.359143141686784,52.14485048979924 -2012-09-29 15:00:00,2.360314247723202,50.90366939036614 -2012-09-29 16:00:00,2.3646024652700652,46.77754676518698 -2012-09-29 17:00:00,2.36417488805352,45.22148034533741 -2012-09-29 18:00:00,2.3351528225775544,45.01399128442593 -2012-09-29 19:00:00,0.0,44.96987956349795 -2012-09-29 20:00:00,0.0,44.94837209267493 -2012-09-29 21:00:00,0.0,44.92338859361531 -2012-09-29 22:00:00,2.328785165630399,44.8578568797462 -2012-09-29 23:00:00,0.0,44.74621527943584 -2012-09-30 00:00:00,2.333470450035298,44.66409074540976 -2012-09-30 01:00:00,2.3554189399285184,44.57770221605943 -2012-09-30 02:00:00,2.368073308654456,44.52470345851755 -2012-09-30 03:00:00,2.399999914144198,44.50350552827045 -2012-09-30 04:00:00,2.4056439700632017,44.48368227541534 -2012-09-30 05:00:00,2.406712940519685,44.46701052682124 -2012-09-30 06:00:00,2.398451183160332,44.43366545770467 -2012-09-30 07:00:00,2.387680311076148,44.39393874593332 -2012-09-30 08:00:00,2.388195991566811,44.35973885933709 -2012-09-30 09:00:00,2.4612085077113304,44.34197613498484 -2012-09-30 10:00:00,2.555409865199327,44.325566884986934 -2012-09-30 11:00:00,2.5992757900337744,44.31565655093564 -2012-09-30 12:00:00,2.6014293503090817,44.30490371045802 -2012-09-30 13:00:00,2.5958572769800226,44.28859341935109 -2012-09-30 14:00:00,2.5791807453534292,44.2758757021902 -2012-09-30 15:00:00,2.586191631270875,44.2606555297371 -2012-09-30 16:00:00,2.5961394171210235,44.255859665337724 -2012-09-30 17:00:00,2.6060662242030355,44.23749448366764 -2012-09-30 18:00:00,2.59989259835829,44.21517138670443 -2012-09-30 19:00:00,2.59640954893,44.19357940912368 -2012-09-30 20:00:00,2.598164153841324,44.18207953272539 -2012-09-30 21:00:00,2.5924578342199425,44.165330490672424 -2012-09-30 22:00:00,2.586336849906779,44.15356511975047 -2012-09-30 23:00:00,2.5927895308027975,44.13651855913052 -2012-10-01 00:00:00,2.6049286851598534,44.12595982334295 -2012-10-01 01:00:00,2.6258202680821063,44.11371042996432 -2012-10-01 02:00:00,2.650788398523945,44.0971523008014 -2012-10-01 03:00:00,2.7051869144807372,44.090918554501954 -2012-10-01 04:00:00,2.770924299255523,44.0806783903913 -2012-10-01 05:00:00,2.8058639898990982,44.04460325461148 -2012-10-01 06:00:00,2.8500547192033716,44.01530992439692 -2012-10-01 07:00:00,2.889250833254791,43.96675276299281 -2012-10-01 08:00:00,2.9605309915050646,43.930346351044264 -2012-10-01 09:00:00,3.011677157373429,43.8994221374675 -2012-10-01 10:00:00,3.0716925735528195,43.898260685402875 -2012-10-01 11:00:00,3.112428800325837,43.8872870060489 -2012-10-01 12:00:00,3.160430203711496,43.87693404662757 -2012-10-01 13:00:00,3.1909161918650155,43.86637339942394 -2012-10-01 14:00:00,3.1961178790778626,43.85585384104001 -2012-10-01 15:00:00,3.2074832238331394,43.853905300311496 -2012-10-01 16:00:00,3.2116738525113364,43.84813733162585 -2012-10-01 17:00:00,3.2490355938903717,43.85425293908932 -2012-10-01 18:00:00,3.2502244756719922,43.846772806773856 -2012-10-01 19:00:00,3.248753485164883,43.83434731670171 -2012-10-01 20:00:00,3.2535229023486596,43.83130148429711 -2012-10-01 21:00:00,3.2561636868052415,43.82286706708078 -2012-10-01 22:00:00,3.2691223631715594,43.815235271653314 -2012-10-01 23:00:00,3.289842767212842,43.81095064762499 -2012-10-02 00:00:00,3.32037619493463,43.80277505733248 -2012-10-02 01:00:00,3.3632510822037567,43.78800917785415 -2012-10-02 02:00:00,3.4339988154403254,43.785368607407314 -2012-10-02 03:00:00,3.4941903480835186,43.77552059277081 -2012-10-02 04:00:00,3.6266404566175443,43.772263595054056 -2012-10-02 05:00:00,3.724698775850299,43.773510854443664 -2012-10-02 06:00:00,3.8492592324566166,43.751782444747555 -2012-10-02 07:00:00,3.923013031233525,43.7213260001098 -2012-10-02 08:00:00,3.961747969973674,43.70010945575459 -2012-10-02 09:00:00,3.984561474268239,43.69684116526634 -2012-10-02 10:00:00,4.008715657619806,43.68730238135819 -2012-10-02 11:00:00,4.027297456904219,43.68379904413771 -2012-10-02 12:00:00,4.056027761232633,43.67464163484168 -2012-10-02 13:00:00,4.063905351041673,43.66570304887602 -2012-10-02 14:00:00,4.06463125513597,43.65625552011653 -2012-10-02 15:00:00,4.075032869274386,43.6475839775165 -2012-10-02 16:00:00,4.119475493235218,43.64175938594299 -2012-10-02 17:00:00,4.086636979994894,43.629184548448265 -2012-10-02 18:00:00,4.091357129346963,43.62014018141198 -2012-10-02 19:00:00,4.09515420598232,43.61607924793525 -2012-10-02 20:00:00,4.094212685507706,43.601058173436186 -2012-10-02 21:00:00,4.096614896314063,43.60135356149636 -2012-10-02 22:00:00,4.095840220820349,43.586295641613475 -2012-10-02 23:00:00,4.0962096763312195,43.57352693274813 -2012-10-03 00:00:00,4.102432885826518,43.562004999678265 -2012-10-03 01:00:00,4.1111008807799285,43.551080856087765 -2012-10-03 02:00:00,4.126646345271533,43.545077890545606 -2012-10-03 03:00:00,4.13455895869601,43.52873151510188 -2012-10-03 04:00:00,4.146626729091465,43.529252121351746 -2012-10-03 05:00:00,4.147333439032236,43.50250366122589 -2012-10-03 06:00:00,4.193519465536543,43.48392043933443 -2012-10-03 07:00:00,4.227902966666908,43.46558445898148 -2012-10-03 08:00:00,4.247623715333186,43.44222316967173 -2012-10-03 09:00:00,4.266882477618079,43.4398176473196 -2012-10-03 10:00:00,4.276673856064121,43.42192480522918 -2012-10-03 11:00:00,4.287679429774137,43.407714081288766 -2012-10-03 12:00:00,4.293928365410778,43.39859853482282 -2012-10-03 13:00:00,4.292745702911133,43.38468851759033 -2012-10-03 14:00:00,4.269334110158761,43.37367324329821 -2012-10-03 15:00:00,4.284773225534435,43.36837634919831 -2012-10-03 16:00:00,4.2487941045935465,43.369123473665404 -2012-10-03 17:00:00,4.242559031225326,43.38232670125895 -2012-10-03 18:00:00,4.240433014925939,43.36416392623299 -2012-10-03 19:00:00,4.238303158043655,43.29834046944952 -2012-10-03 20:00:00,4.230646321700636,43.19174956537632 -2012-10-03 21:00:00,4.224228417782379,42.981368927615556 -2012-10-03 22:00:00,4.244765754200655,42.67968363720563 -2012-10-03 23:00:00,4.193112054934887,42.398161302782135 -2012-10-04 00:00:00,4.191253173348791,42.265271438794464 -2012-10-04 01:00:00,4.194606429395517,42.17002392354032 -2012-10-04 02:00:00,4.1990116670313276,42.09533029182823 -2012-10-04 03:00:00,4.180374862341833,42.051404522462384 -2012-10-04 04:00:00,4.190246847844967,42.02809198612493 -2012-10-04 05:00:00,4.183087620076634,42.00279731354686 -2012-10-04 06:00:00,4.181029943658558,41.9711305571497 -2012-10-04 07:00:00,4.179294413540275,41.94474865663471 -2012-10-04 08:00:00,4.179508006192468,41.92506891231675 -2012-10-04 09:00:00,4.176380248224405,41.91352690411335 -2012-10-04 10:00:00,4.177423079493489,41.89951406102335 -2012-10-04 11:00:00,4.207518769177852,41.91476658674303 -2012-10-04 12:00:00,4.205461092759777,41.905002948999964 -2012-10-04 13:00:00,4.207741647236913,41.94017577074781 -2012-10-04 14:00:00,4.219734343728462,41.951147540023996 -2012-10-04 15:00:00,4.206999009069665,41.93070744686576 -2012-10-04 16:00:00,4.233899143735772,41.82033609903414 -2012-10-04 17:00:00,4.231949918279071,41.575306329974985 -2012-10-04 18:00:00,4.23011774427085,41.31980677214937 -2012-10-04 19:00:00,4.23215015131597,40.938158563119664 -2012-10-04 20:00:00,4.228602378093715,40.40042350450394 -2012-10-04 21:00:00,4.230972570511169,39.999083460163625 -2012-10-04 22:00:00,4.227143802835961,39.62600668725027 -2012-10-04 23:00:00,4.255327459482144,39.401448722846894 -2012-10-05 00:00:00,4.251980973388571,39.208525691472445 -2012-10-05 01:00:00,4.249785572232139,39.03153475480642 -2012-10-05 02:00:00,4.249609206809312,38.86246227666289 -2012-10-05 03:00:00,4.239526356429111,38.7445755772843 -2012-10-05 04:00:00,4.24657031442099,38.62416509216976 -2012-10-05 05:00:00,4.24409940174223,38.54448633880588 -2012-10-05 06:00:00,4.228484200541413,38.485517760781384 -2012-10-05 07:00:00,4.212168320016698,38.45729338369414 -2012-10-05 08:00:00,4.199300228708454,38.408137828423214 -2012-10-05 09:00:00,4.213246418451506,38.3887494408328 -2012-10-05 10:00:00,4.205047643112563,38.30413451749613 -2012-10-05 11:00:00,4.200650126118878,38.14585440460982 -2012-10-05 12:00:00,4.20096712669074,37.69406052867923 -2012-10-05 13:00:00,4.200728524504047,36.568558825302325 -2012-10-05 14:00:00,4.196364476991008,33.650605776580775 -2012-10-05 15:00:00,4.193518450823797,32.23837811803452 -2012-10-05 16:00:00,4.196159027704122,30.20554648906976 -2012-10-05 17:00:00,4.191646772825768,28.66296447641095 -2012-10-05 18:00:00,4.1919158781105175,27.599233287566793 -2012-10-05 19:00:00,4.191725171210937,27.210782697250888 -2012-10-05 20:00:00,4.2038623473763765,26.742573342877158 -2012-10-05 21:00:00,4.209876163389382,26.330966887669614 -2012-10-05 22:00:00,4.2241064867947795,25.742949492926414 -2012-10-05 23:00:00,4.21498262450769,25.2974777988947 -2012-10-06 00:00:00,4.214634026523354,25.162374051192664 -2012-10-06 01:00:00,4.214144401587665,25.15439986483896 -2012-10-06 02:00:00,4.2108747040048025,25.145452750176055 -2012-10-06 03:00:00,4.208349876713415,25.137986097000628 -2012-10-06 04:00:00,4.216469621031986,25.136636476216523 -2012-10-06 05:00:00,4.206860934900383,25.11462396789546 -2012-10-06 06:00:00,4.206668582907396,25.099244743292644 -2012-10-06 07:00:00,4.193768244237697,25.07054216569314 -2012-10-06 08:00:00,4.187326798558266,25.053510901334953 -2012-10-06 09:00:00,4.194276138856357,25.036011469041938 -2012-10-06 10:00:00,4.204452417564874,25.03299405284224 -2012-10-06 11:00:00,4.199716555254899,25.0296631795465 -2012-10-06 12:00:00,4.198493079002924,25.021926992763348 -2012-10-06 13:00:00,4.196876494338224,25.017124988344943 -2012-10-06 14:00:00,4.196144365432157,25.023790133552815 -2012-10-06 15:00:00,4.19403643342155,25.019618895891902 -2012-10-06 16:00:00,4.187680882492484,25.010699712054837 -2012-10-06 17:00:00,4.185329552064611,25.018712667244664 -2012-10-06 18:00:00,4.181559169400364,25.007364693331326 -2012-10-06 19:00:00,4.177472799237277,25.001322375403017 -2012-10-06 20:00:00,4.181541978293963,25.009334360505076 -2012-10-06 21:00:00,4.172339980655793,25.001599628717493 -2012-10-06 22:00:00,4.182083407492338,25.00989918197548 -2012-10-06 23:00:00,4.146446940390014,24.99927454186676 -2012-10-07 00:00:00,4.134756813749065,25.000171623398053 -2012-10-07 01:00:00,4.109572236125042,24.998045088769103 -2012-10-07 02:00:00,4.081318709411408,24.996385529269197 -2012-10-07 03:00:00,4.058166317746931,24.992025544005678 -2012-10-07 04:00:00,4.058091512321201,24.985944472560785 -2012-10-07 05:00:00,4.020931482625615,24.968611421420395 -2012-10-07 06:00:00,4.023244518194621,24.95783784385799 -2012-10-07 07:00:00,4.025246132593411,24.944739795692463 -2012-10-07 08:00:00,4.019166397166534,24.93287070045937 -2012-10-07 09:00:00,3.939812937334775,24.931850452164344 -2012-10-07 10:00:00,3.8391881393302905,24.931615299174087 -2012-10-07 11:00:00,3.7838317559957484,24.968444042741826 -2012-10-07 12:00:00,3.7770018036309834,25.0308499410549 -2012-10-07 13:00:00,3.773225818385931,25.16294675975615 -2012-10-07 14:00:00,3.7879176501190517,25.316620126875527 -2012-10-07 15:00:00,3.7682242792246434,25.442156044875986 -2012-10-07 16:00:00,3.767697898131535,25.555297008274156 -2012-10-07 17:00:00,3.746537796383361,25.644603380359378 -2012-10-07 18:00:00,3.7473500721251467,25.723732994775393 -2012-10-07 19:00:00,3.747099766994248,25.804648115812636 -2012-10-07 20:00:00,3.742576692633881,25.86413829779128 -2012-10-07 21:00:00,3.750059404179102,25.92643023701833 -2012-10-07 22:00:00,3.7616061742882487,25.969360017529347 -2012-10-07 23:00:00,3.7412323208306995,26.008605219528665 -2012-10-08 00:00:00,3.7255421495291663,26.07120625884794 -2012-10-08 01:00:00,3.7015774183943693,26.189356378694814 -2012-10-08 02:00:00,3.662682130321668,26.340754551136605 -2012-10-08 03:00:00,3.6187947607663067,26.47849528012001 -2012-10-08 04:00:00,3.5595009391349604,26.60794192386394 -2012-10-08 05:00:00,3.4876409868254155,26.709052663881188 -2012-10-08 06:00:00,3.440963202232771,26.77448581232338 -2012-10-08 07:00:00,3.3995916500654664,26.81448091030849 -2012-10-08 08:00:00,3.314826362608529,26.831410034793272 -2012-10-08 09:00:00,3.2719504516384585,26.850685156258915 -2012-10-08 10:00:00,3.224585849367315,26.84827824342123 -2012-10-08 11:00:00,3.1807271223519336,26.841193231860093 -2012-10-08 12:00:00,3.1280793840074637,26.834629463274847 -2012-10-08 13:00:00,3.0933805371661776,26.835356359890987 -2012-10-08 14:00:00,3.0752912961362875,26.84398226478414 -2012-10-08 15:00:00,3.072635168887588,26.865232688612586 -2012-10-08 16:00:00,3.0750857542560848,26.945231111514598 -2012-10-08 17:00:00,3.034285839572626,26.999109702813943 -2012-10-08 18:00:00,3.030964814978229,27.017939912554493 -2012-10-08 19:00:00,3.029136716161385,27.024295528836333 -2012-10-08 20:00:00,3.0311769706517775,27.028332956767475 -2012-10-08 21:00:00,3.0257741835636325,27.030496606475214 -2012-10-08 22:00:00,3.0577005908060344,27.039328284386063 -2012-10-08 23:00:00,3.003550471910805,27.048517115137415 -2012-10-09 00:00:00,2.972455258909775,27.079751361500776 -2012-10-09 01:00:00,2.924644366199578,27.1279331367254 -2012-10-09 02:00:00,2.8379313513403908,27.163228936500204 -2012-10-09 03:00:00,2.7793834689445145,27.187132973043443 -2012-10-09 04:00:00,2.6748860371229988,27.19736086008977 -2012-10-09 05:00:00,2.5524737699634716,27.206451839418442 -2012-10-09 06:00:00,2.414294062650566,27.224763734121705 -2012-10-09 07:00:00,2.3255943813216846,27.25036328666445 -2012-10-09 08:00:00,0.0,27.286062537966544 -2012-10-09 09:00:00,0.0,27.3477951733682 -2012-10-09 10:00:00,0.0,27.402784931619863 -2012-10-09 11:00:00,0.0,27.454035150702026 -2012-10-09 12:00:00,0.0,27.542441686025885 -2012-10-09 13:00:00,0.0,27.81351635561774 -2012-10-09 14:00:00,0.0,29.117822039284817 -2012-10-09 15:00:00,0.0,29.574254322980593 -2012-10-09 16:00:00,0.0,30.26166033811547 -2012-10-09 17:00:00,0.0,31.385985915797676 -2012-10-09 18:00:00,0.0,32.2680516140595 -2012-10-09 19:00:00,0.0,32.690216740901946 -2012-10-09 20:00:00,0.0,32.93782572908576 -2012-10-09 21:00:00,0.0,33.041286491648215 -2012-10-09 22:00:00,0.0,33.116475973871154 -2012-10-09 23:00:00,0.0,33.18463366544835 -2012-10-10 00:00:00,0.0,33.24942909206987 -2012-10-10 01:00:00,0.0,33.33480496862583 -2012-10-10 02:00:00,0.0,33.44300025528179 -2012-10-10 03:00:00,0.0,33.46454080989309 -2012-10-10 04:00:00,0.0,33.50205614751405 -2012-10-10 05:00:00,0.0,33.55313853450521 -2012-10-10 06:00:00,0.0,33.59577583227053 -2012-10-10 07:00:00,0.0,33.6735362537991 -2012-10-10 08:00:00,0.0,33.70881881190159 -2012-10-10 09:00:00,0.0,33.72586267851715 -2012-10-10 10:00:00,0.0,33.75340230795777 -2012-10-10 11:00:00,0.0,33.76920041093347 -2012-10-10 12:00:00,0.0,33.82619742778409 -2012-10-10 13:00:00,0.0,33.932714385654144 -2012-10-10 14:00:00,0.0,34.12929550421075 -2012-10-10 15:00:00,0.0,34.261389014242305 -2012-10-10 16:00:00,0.0,34.400700604365284 -2012-10-10 17:00:00,0.0,34.57071191810014 -2012-10-10 18:00:00,0.0,34.69572376289592 -2012-10-10 19:00:00,0.0,34.85868571245688 -2012-10-10 20:00:00,0.0,35.289660794055955 -2012-10-10 21:00:00,0.0,35.66679333308949 -2012-10-10 22:00:00,0.0,37.211738205424474 -2012-10-10 23:00:00,0.0,38.66385306532149 -2012-10-11 00:00:00,0.0,39.13478735691029 -2012-10-11 01:00:00,0.0,39.48116836830802 -2012-10-11 02:00:00,0.0,39.741394743961074 -2012-10-11 03:00:00,0.0,39.80921702339551 -2012-10-11 04:00:00,0.0,39.87014480176131 -2012-10-11 05:00:00,0.0,39.92141822894159 -2012-10-11 06:00:00,0.0,39.97597802378199 -2012-10-11 07:00:00,0.0,40.032614020664546 -2012-10-11 08:00:00,0.0,40.06024292416354 -2012-10-11 09:00:00,0.0,40.074619046018654 -2012-10-11 10:00:00,0.0,40.08834592664858 -2012-10-11 11:00:00,0.0,40.109625939558036 -2012-10-11 12:00:00,0.0,40.19281976376626 -2012-10-11 13:00:00,0.0,42.208439682540266 -2012-10-11 14:00:00,0.0,53.93565151305941 -2012-10-11 15:00:00,0.0,59.18395052747192 -2012-10-11 16:00:00,0.0,64.46505672403524 -2012-10-11 17:00:00,0.0,66.81234673661481 -2012-10-11 18:00:00,0.0,67.30060065192112 -2012-10-11 19:00:00,0.0,67.34655384302057 -2012-10-11 20:00:00,0.0,67.34833126518633 -2012-10-11 21:00:00,0.0,67.33947674538781 -2012-10-11 22:00:00,0.0,67.3179366465136 -2012-10-11 23:00:00,0.0,67.30075630787297 -2012-10-12 00:00:00,0.0,67.39271527961077 -2012-10-12 01:00:00,0.0,67.55400781076513 -2012-10-12 02:00:00,0.0,67.78751021738596 -2012-10-12 03:00:00,0.0,68.02409126717205 -2012-10-12 04:00:00,0.0,68.24467844249502 -2012-10-12 05:00:00,0.0,68.46135768749575 -2012-10-12 06:00:00,2.393752527911274,68.77274853588274 -2012-10-12 07:00:00,2.9474838589990036,69.18699701471594 -2012-10-12 08:00:00,4.194565219599432,70.27499013386229 -2012-10-12 09:00:00,4.493922623417713,71.52788586865564 -2012-10-12 10:00:00,4.688545813980614,74.8707208169784 -2012-10-12 11:00:00,4.7809198854808885,78.73444422766705 -2012-10-12 12:00:00,4.824979505863832,82.78934339552605 -2012-10-12 13:00:00,5.030836458010315,85.75168759349218 -2012-10-12 14:00:00,5.5640834131415735,87.81540563702012 -2012-10-12 15:00:00,6.505815935797907,88.4711185568605 -2012-10-12 16:00:00,8.223534640478471,89.08960928897686 -2012-10-12 17:00:00,8.685744726770828,89.84228021164662 -2012-10-12 18:00:00,8.71688442282755,90.51244070755041 -2012-10-12 19:00:00,8.841565661836036,91.06498212137747 -2012-10-12 20:00:00,9.117573053583124,91.48860040236559 -2012-10-12 21:00:00,9.45660989572038,91.6228056390599 -2012-10-12 22:00:00,9.833721945070701,91.73819861878134 -2012-10-12 23:00:00,10.000095572558896,91.79815205504737 -2012-10-13 00:00:00,10.067113282932285,91.84061805782905 -2012-10-13 01:00:00,10.142588334206998,92.02335311899886 -2012-10-13 02:00:00,10.628456780510211,92.28350814809086 -2012-10-13 03:00:00,11.37971561007141,92.35165626423498 -2012-10-13 04:00:00,11.95747124050277,92.42747588906131 -2012-10-13 05:00:00,12.202184580503875,92.45034117684465 -2012-10-13 06:00:00,12.315144972417412,92.4440915744681 -2012-10-13 07:00:00,12.451460745299492,92.44847643089037 -2012-10-13 08:00:00,12.500026982170905,92.44083392311911 -2012-10-13 09:00:00,12.516150557853578,92.4382835303157 -2012-10-13 10:00:00,12.494894810482236,92.41792849868257 -2012-10-13 11:00:00,12.50965025783752,92.39157861513348 -2012-10-13 12:00:00,12.561521869785745,92.37379583572925 -2012-10-13 13:00:00,12.612937100369395,92.3513089277575 -2012-10-13 14:00:00,12.690688723048519,92.32514144082057 -2012-10-13 15:00:00,12.714002759768402,92.30268664649893 -2012-10-13 16:00:00,12.724507698283606,92.27965288016327 -2012-10-13 17:00:00,12.734678567663408,92.25632693291729 -2012-10-13 18:00:00,12.746717745372724,92.25130206098407 -2012-10-13 19:00:00,12.781300757945454,92.25446573944059 -2012-10-13 20:00:00,12.833454096161987,92.2494024029429 -2012-10-13 21:00:00,12.914573030191203,92.24783215209213 -2012-10-13 22:00:00,13.003948377933023,92.23567287200552 -2012-10-13 23:00:00,13.160120875274481,92.21697420795371 -2012-10-14 00:00:00,13.33468527579788,92.19604084380063 -2012-10-14 01:00:00,13.519299542627726,92.17287764871536 -2012-10-14 02:00:00,13.73399905046055,92.15516584067576 -2012-10-14 03:00:00,13.925681762671683,92.14087518278495 -2012-10-14 04:00:00,14.083376914031819,92.11737397369298 -2012-10-14 05:00:00,14.283132579412399,92.1080228807315 -2012-10-14 06:00:00,14.42008555775686,92.09231400455057 -2012-10-14 07:00:00,14.573701528052501,92.07808523048332 -2012-10-14 08:00:00,14.720547023798874,92.05485254519512 -2012-10-14 09:00:00,14.942072786671872,92.02748958940552 -2012-10-14 10:00:00,15.20491206539225,91.99603394893187 -2012-10-14 11:00:00,15.484208703985177,91.92697337778013 -2012-10-14 12:00:00,16.098476797841574,91.85971207675357 -2012-10-14 13:00:00,16.83830390522509,91.74251050569696 -2012-10-14 14:00:00,17.653309950179306,91.61760101456969 -2012-10-14 15:00:00,18.32420768158849,91.5153148192715 -2012-10-14 16:00:00,18.724673650184215,91.42959796424157 -2012-10-14 17:00:00,18.977401162946396,91.36461673623765 -2012-10-14 18:00:00,18.9966541505941,91.3881539959592 -2012-10-14 19:00:00,19.013402746523937,91.4105648976693 -2012-10-14 20:00:00,19.02626992976222,91.39616390922099 -2012-10-14 21:00:00,19.02663446732071,91.34668389843901 -2012-10-14 22:00:00,19.02120859918429,91.29632173415811 -2012-10-14 23:00:00,19.036186871190967,91.29427782108598 -2012-10-15 00:00:00,19.049437191810025,91.25090870571246 -2012-10-15 01:00:00,19.078429873467638,91.16571877320011 -2012-10-15 02:00:00,19.137698022998144,91.08269496542484 -2012-10-15 03:00:00,19.14173876308767,90.99603752449599 -2012-10-15 04:00:00,19.167111459564293,90.95796984995405 -2012-10-15 05:00:00,19.219448709303528,91.0075669220755 -2012-10-15 06:00:00,19.252922055787003,91.24925711098665 -2012-10-15 07:00:00,19.351594336812067,91.7596699122323 -2012-10-15 08:00:00,19.5522263684762,93.03881016742544 -2012-10-15 09:00:00,19.75060582153596,94.42136735789457 -2012-10-15 10:00:00,19.946719946743634,97.57756839113294 -2012-10-15 11:00:00,20.172368593087153,103.29005986760909 -2012-10-15 12:00:00,20.291946105883515,110.56140834390024 -2012-10-15 13:00:00,20.49421915610671,119.20452475053243 -2012-10-15 14:00:00,20.733280899813348,128.97864736590896 -2012-10-15 15:00:00,20.810375450988257,132.89672303611155 -2012-10-15 16:00:00,20.821891775058937,137.1223249496672 -2012-10-15 17:00:00,20.85128610398231,140.75310630093762 -2012-10-15 18:00:00,20.850899601027344,143.23671559634533 -2012-10-15 19:00:00,20.849381475670544,147.7276924597118 -2012-10-15 20:00:00,20.85724127652804,156.93558143524234 -2012-10-15 21:00:00,20.83361643364496,158.3933858403019 -2012-10-15 22:00:00,20.82904472683717,159.8120773992803 -2012-10-15 23:00:00,20.855085631629688,160.45869622905246 -2012-10-16 00:00:00,20.851086068809245,161.1133706518521 -2012-10-16 01:00:00,20.85035415629179,161.98744456782126 -2012-10-16 02:00:00,20.86143963100557,163.38049983910292 -2012-10-16 03:00:00,20.848593284411514,164.70644964352965 -2012-10-16 04:00:00,20.839802090480006,165.94228642595655 -2012-10-16 05:00:00,20.836903596770085,166.78358038824598 -2012-10-16 06:00:00,20.83462751740508,167.24023322732648 -2012-10-16 07:00:00,20.83497779186987,167.54427480160817 -2012-10-16 08:00:00,20.848006150048015,167.81302968558293 -2012-10-16 09:00:00,20.866556530220482,167.98347055750077 -2012-10-16 10:00:00,20.90297901778108,168.1537336698268 -2012-10-16 11:00:00,20.93879558437655,168.42846603291486 -2012-10-16 12:00:00,20.976818337031577,168.76773803026012 -2012-10-16 13:00:00,21.03021936966573,169.0309072846959 -2012-10-16 14:00:00,21.093084636835492,168.40594429523858 -2012-10-16 15:00:00,21.180805893715988,168.74801924164112 -2012-10-16 16:00:00,21.295703026437057,169.11520549050132 -2012-10-16 17:00:00,21.46885986335205,170.60537688304805 -2012-10-16 18:00:00,21.678868137701283,172.26131197632222 -2012-10-16 19:00:00,21.862857214576888,174.34990884093259 -2012-10-16 20:00:00,21.979840166658573,177.1502030703698 -2012-10-16 21:00:00,22.08328140544248,180.78526498741627 -2012-10-16 22:00:00,22.196697910962094,186.1401923445715 -2012-10-16 23:00:00,23.18537645008792,189.93657262027 -2012-10-17 00:00:00,24.26743085368793,192.368541448401 -2012-10-17 01:00:00,24.54468470904626,195.28643157395825 -2012-10-17 02:00:00,24.928929168519964,197.97016454693483 -2012-10-17 03:00:00,25.41911038116766,199.40716741679384 -2012-10-17 04:00:00,25.969011775831145,200.90896101424318 -2012-10-17 05:00:00,26.18558624433108,202.29983494165228 -2012-10-17 06:00:00,26.252151940981758,203.51542532196595 -2012-10-17 07:00:00,26.324184428672368,204.68048589909347 -2012-10-17 08:00:00,26.437734784014555,206.18799111375412 -2012-10-17 09:00:00,26.547178883461278,207.62120611694 -2012-10-17 10:00:00,26.638694824048798,209.04400345026343 -2012-10-17 11:00:00,26.74496455931258,210.50229890853757 -2012-10-17 12:00:00,26.87627594375811,211.9053252811208 -2012-10-17 13:00:00,27.038160046265617,214.0502675715007 -2012-10-17 14:00:00,27.140726523046766,216.48264160556684 -2012-10-17 15:00:00,27.20218772805452,219.0294420304302 -2012-10-17 16:00:00,27.19559504707124,224.66506977624118 -2012-10-17 17:00:00,27.191739189173912,230.62023880396302 -2012-10-17 18:00:00,27.209741137386665,234.0812272866328 -2012-10-17 19:00:00,27.23124836944452,237.1671217032827 -2012-10-17 20:00:00,27.263222816546367,238.84983580210175 -2012-10-17 21:00:00,27.279852739621088,239.17086223713687 -2012-10-17 22:00:00,27.331260088575778,238.07539825367698 -2012-10-17 23:00:00,27.387710575392028,236.83840939950542 -2012-10-18 00:00:00,27.463057993548542,236.63957989950725 -2012-10-18 01:00:00,27.545208049508176,236.43092559484688 -2012-10-18 02:00:00,27.58222077700395,236.33121329161855 -2012-10-18 03:00:00,27.578239423672613,236.43089012840966 -2012-10-18 04:00:00,27.58340159679895,236.6561898141709 -2012-10-18 05:00:00,27.587154823426836,236.9409156160853 -2012-10-18 06:00:00,27.588034876424622,237.21720946438475 -2012-10-18 07:00:00,27.58240578705655,237.34257105460154 -2012-10-18 08:00:00,27.58427634935415,237.37671460219372 -2012-10-18 09:00:00,27.57271783435053,237.35840364286722 -2012-10-18 10:00:00,27.580267185751225,237.33853857372577 -2012-10-18 11:00:00,27.577502356824322,237.31612668745677 -2012-10-18 12:00:00,27.562990925735686,237.21608313337526 -2012-10-18 13:00:00,27.557928748086532,235.15776532283704 -2012-10-18 14:00:00,27.559573380989747,223.354369092569 -2012-10-18 15:00:00,27.548060599080408,218.0625651629062 -2012-10-18 16:00:00,27.532021319594996,212.77825235384773 -2012-10-18 17:00:00,27.442865368831146,210.55416215166903 -2012-10-18 18:00:00,27.347759146293107,210.34240953300377 -2012-10-18 19:00:00,27.293550520246644,210.54356700057596 -2012-10-18 20:00:00,27.259971207923595,210.73748265548238 -2012-10-18 21:00:00,27.2449227311848,210.89018023901883 -2012-10-18 22:00:00,27.238441343822412,211.04048294854192 -2012-10-18 23:00:00,27.22413200134489,211.20420727563334 -2012-10-19 00:00:00,27.211832218788537,211.27383889098354 -2012-10-19 01:00:00,27.198766799969974,211.4262432535456 -2012-10-19 02:00:00,27.176014954382637,211.6866836654213 -2012-10-19 03:00:00,27.16701350674614,212.03359058901702 -2012-10-19 04:00:00,27.123110166253216,212.43389053345624 -2012-10-19 05:00:00,27.08268276861603,212.88867450635465 -2012-10-19 06:00:00,27.004505220617872,213.28084000039053 -2012-10-19 07:00:00,26.446494789296857,213.77436176226092 -2012-10-19 08:00:00,25.189131152082886,213.46234232168072 -2012-10-19 09:00:00,24.892115757894082,212.58372671659652 -2012-10-19 10:00:00,24.68527693578705,209.5596486880518 -2012-10-19 11:00:00,24.583850371463946,205.94139670807365 -2012-10-19 12:00:00,24.535634457212616,202.19514779647477 -2012-10-19 13:00:00,24.32545039307077,199.8840530740702 -2012-10-19 14:00:00,23.781839581792504,198.59013489418828 -2012-10-19 15:00:00,22.841838590551117,198.3800342319459 -2012-10-19 16:00:00,21.13552111592681,198.41640034670274 -2012-10-19 17:00:00,20.671664791011175,198.55893414306823 -2012-10-19 18:00:00,20.63882878812507,199.92824293323815 -2012-10-19 19:00:00,20.5246654831799,201.8091971342172 -2012-10-19 20:00:00,20.376251920340263,202.84517070699295 -2012-10-19 21:00:00,20.0704024882151,203.74126334738114 -2012-10-19 22:00:00,19.706664392932414,205.07488848856994 -2012-10-19 23:00:00,19.577603339536765,206.93788600901743 -2012-10-20 00:00:00,19.569647522921315,209.06858193595184 -2012-10-20 01:00:00,19.499146649674948,211.6015242235998 -2012-10-20 02:00:00,19.04786590510399,214.4507475652471 -2012-10-20 03:00:00,18.293323492424246,216.1885258985357 -2012-10-20 04:00:00,17.69981963174,218.07299537929495 -2012-10-20 05:00:00,17.457744942552686,219.78158167212408 -2012-10-20 06:00:00,17.442516484011364,221.5741017397509 -2012-10-20 07:00:00,17.358518747787837,224.32529537522495 -2012-10-20 08:00:00,17.35209894275511,227.91270583155082 -2012-10-20 09:00:00,17.326232681535743,231.88679616104864 -2012-10-20 10:00:00,17.34157454508614,238.83055453274108 -2012-10-20 11:00:00,17.32453077834002,248.29254685973766 -2012-10-20 12:00:00,17.27539193756789,254.9369764826982 -2012-10-20 13:00:00,17.229430675741696,259.7254273096849 -2012-10-20 14:00:00,17.175086957830516,266.6357203924251 -2012-10-20 15:00:00,17.14628650764776,280.13897148515616 -2012-10-20 16:00:00,17.157895820157925,314.23664055291516 -2012-10-20 17:00:00,17.155186493988428,351.57012762355515 -2012-10-20 18:00:00,17.152386370681473,382.4030358215497 -2012-10-20 19:00:00,17.127485855487507,406.5953610872228 -2012-10-20 20:00:00,17.090932037296575,425.35116617282887 -2012-10-20 21:00:00,17.015955245270774,432.7173668374351 -2012-10-20 22:00:00,16.92435545034898,445.6791014428666 -2012-10-20 23:00:00,16.774120333654828,457.2404216980567 -2012-10-21 00:00:00,16.603032781950954,463.2694378754452 -2012-10-21 01:00:00,16.416990981053555,467.62122236284756 -2012-10-21 02:00:00,16.219402047660044,472.9535580241692 -2012-10-21 03:00:00,16.00577185709974,477.3653865631331 -2012-10-21 04:00:00,15.860581410797531,482.44609893338213 -2012-10-21 05:00:00,15.69637163002442,486.6749810579099 -2012-10-21 06:00:00,15.56018358980069,489.1289919666271 -2012-10-21 07:00:00,15.429493988032029,490.9413580866822 -2012-10-21 08:00:00,15.393416607970833,492.704376077151 -2012-10-21 09:00:00,15.283735997425374,494.21936644038465 -2012-10-21 10:00:00,15.176710828754045,495.75327084316496 -2012-10-21 11:00:00,15.048610364789553,497.1901882886557 -2012-10-21 12:00:00,14.581593355277963,498.120497619428 -2012-10-21 13:00:00,14.006842203604306,498.864740104996 -2012-10-21 14:00:00,13.365030342020335,499.42909575148457 -2012-10-21 15:00:00,12.89307998599174,499.8016198564626 -2012-10-21 16:00:00,12.643902783407166,500.11300029817664 -2012-10-21 17:00:00,12.428570084348788,500.3791466116917 -2012-10-21 18:00:00,12.432492702540316,500.50566622007403 -2012-10-21 19:00:00,12.42233750737759,500.6187841269779 -2012-10-21 20:00:00,12.425960491035891,500.7060999072352 -2012-10-21 21:00:00,12.426081604401901,500.79913620682015 -2012-10-21 22:00:00,12.423795138978502,500.87225319834727 -2012-10-21 23:00:00,12.413607669405595,500.91546867052904 -2012-10-22 00:00:00,12.398883407347668,500.9624951771902 -2012-10-22 01:00:00,12.380538687105334,501.0038905902183 -2012-10-22 02:00:00,12.344979848851713,501.04120214841987 -2012-10-22 03:00:00,12.33352296847238,501.1109435614213 -2012-10-22 04:00:00,12.299156408836831,501.22133343603616 -2012-10-22 05:00:00,12.271292416416404,501.2868607342177 -2012-10-22 06:00:00,12.236594522078788,501.2139512981591 -2012-10-22 07:00:00,12.130073874156887,500.8795621865315 -2012-10-22 08:00:00,11.9337350609512,499.75376591558836 -2012-10-22 09:00:00,11.718318493631747,498.4988286517092 -2012-10-22 10:00:00,11.508182659986563,495.4708664750416 -2012-10-22 11:00:00,11.271974147193763,489.86956880699773 -2012-10-22 12:00:00,11.150024730404875,482.74608980157325 -2012-10-22 13:00:00,10.951033640170346,474.25812690373886 -2012-10-22 14:00:00,10.735249306443327,464.6740505924256 -2012-10-22 15:00:00,10.666412645376306,460.91213748752756 -2012-10-22 16:00:00,10.728904083513468,456.75959810455504 -2012-10-22 17:00:00,10.822198490009344,453.2335541024967 -2012-10-22 18:00:00,10.89950265314349,450.8862067710154 -2012-10-22 19:00:00,11.049872082124907,446.5555889168363 -2012-10-22 20:00:00,11.254297446250607,437.53661445877 -2012-10-22 21:00:00,11.379081701505562,436.2287852074771 -2012-10-22 22:00:00,11.398432406394713,434.9415586130032 -2012-10-22 23:00:00,11.404446880136218,434.43718927011963 -2012-10-23 00:00:00,11.414843172506892,433.94303249657156 -2012-10-23 01:00:00,11.41928761333063,433.184184535287 -2012-10-23 02:00:00,11.415588055963514,431.9077858931331 -2012-10-23 03:00:00,11.424346763608408,430.7530262824782 -2012-10-23 04:00:00,11.43655136959476,429.71033327529193 -2012-10-23 05:00:00,11.414103840305097,429.05557265329446 -2012-10-23 06:00:00,11.418501763597844,428.8063077743124 -2012-10-23 07:00:00,11.420199643354705,428.6417213952151 -2012-10-23 08:00:00,11.417164216032445,428.5169021246326 -2012-10-23 09:00:00,11.394886104663458,428.4717180442902 -2012-10-23 10:00:00,11.374268326668608,428.49510119816233 -2012-10-23 11:00:00,11.348068785018425,428.48655027920074 -2012-10-23 12:00:00,11.325812951650244,428.410964389094 -2012-10-23 13:00:00,11.299297025358994,428.2346295257191 -2012-10-23 14:00:00,11.286387046580101,427.96278548202304 -2012-10-23 15:00:00,11.272630974271753,427.5534183286051 -2012-10-23 16:00:00,11.287763131703123,427.01250563101513 -2012-10-23 17:00:00,11.324812996724951,424.9908037414664 -2012-10-23 18:00:00,11.51808397821188,422.8462979222393 -2012-10-23 19:00:00,11.933468613675032,420.57109954099894 -2012-10-23 20:00:00,12.756602110296155,417.80048806641315 -2012-10-23 21:00:00,13.772873971640774,414.3545494398331 -2012-10-23 22:00:00,14.932071699018252,409.23028694847153 -2012-10-23 23:00:00,15.291264383238177,405.6366992430491 -2012-10-24 00:00:00,15.65492722716996,403.32933683286745 -2012-10-24 01:00:00,16.900809806482606,400.4888957112146 -2012-10-24 02:00:00,17.829558076007437,397.8527202216629 -2012-10-24 03:00:00,18.136655243651003,396.5447118583305 -2012-10-24 04:00:00,18.1869806166747,395.1658354474147 -2012-10-24 05:00:00,18.56671291445767,393.891975788924 -2012-10-24 06:00:00,18.975939602741068,392.77315069604913 -2012-10-24 07:00:00,19.359427430940894,391.66531159167437 -2012-10-24 08:00:00,19.617665180856203,390.24462942603225 -2012-10-24 09:00:00,19.782240860276204,388.91402729742043 -2012-10-24 10:00:00,19.926836805547193,387.5703287506979 -2012-10-24 11:00:00,20.13118464736377,386.2093228938818 -2012-10-24 12:00:00,20.56548784051878,384.8797045406322 -2012-10-24 13:00:00,21.095245127022974,382.81032577028736 -2012-10-24 14:00:00,21.735694516590698,380.44392015665596 -2012-10-24 15:00:00,22.339587702235143,378.0628488625208 -2012-10-24 16:00:00,22.860205118418722,372.61412239999464 -2012-10-24 17:00:00,23.2772783357388,366.75725447472115 -2012-10-24 18:00:00,23.665196789496875,363.3264965857525 -2012-10-24 19:00:00,23.99578119355424,360.20848479434164 -2012-10-24 20:00:00,24.382302860587597,358.2298455794389 -2012-10-24 21:00:00,24.842041026614258,357.6907565039939 -2012-10-24 22:00:00,25.24636545714831,357.3825164556273 -2012-10-24 23:00:00,25.64419022047779,357.3923595513755 -2012-10-25 00:00:00,26.00953073209242,357.38135876399843 -2012-10-25 01:00:00,26.28540006377691,357.4541408744145 -2012-10-25 02:00:00,26.555664520937228,357.44058525242446 -2012-10-25 03:00:00,26.863326445465905,357.40696440422414 -2012-10-25 04:00:00,27.154226059036507,357.2239309069317 -2012-10-25 05:00:00,27.547071114835546,356.9947689409725 -2012-10-25 06:00:00,27.833679929220388,356.864161084425 -2012-10-25 07:00:00,28.14804432476747,356.9437598666329 -2012-10-25 08:00:00,28.45983183172203,357.20068249099995 -2012-10-25 09:00:00,28.759042572133733,357.5589581316495 -2012-10-25 10:00:00,28.971805486653924,358.06873260914887 -2012-10-25 11:00:00,29.17934531054036,358.88581871596807 -2012-10-25 12:00:00,29.484981604481202,359.9238348243599 -2012-10-25 13:00:00,29.660434241086204,361.93984973865963 -2012-10-25 14:00:00,29.857523614314204,367.8693626295144 -2012-10-25 15:00:00,30.065302623231098,369.735050314148 -2012-10-25 16:00:00,30.219676644241876,373.57204150163636 -2012-10-25 17:00:00,30.347414649126566,380.42463206073853 -2012-10-25 18:00:00,30.46185027566839,390.6061332620397 -2012-10-25 19:00:00,30.57966945889569,403.89274916629586 -2012-10-25 20:00:00,30.71569151128992,416.8847406329038 -2012-10-25 21:00:00,30.839275255744905,418.8493660616239 -2012-10-25 22:00:00,30.98751451530158,422.4167917042505 -2012-10-25 23:00:00,31.199259145817134,425.2606559799861 -2012-10-26 00:00:00,31.417181331866505,425.7241911234652 -2012-10-26 01:00:00,31.553792040327515,425.5470576945288 -2012-10-26 02:00:00,31.647105158958727,425.1358303377451 -2012-10-26 03:00:00,31.666096145194587,424.6487000369588 -2012-10-26 04:00:00,31.705924896253347,424.1024118700408 -2012-10-26 05:00:00,31.714333641954674,423.5124914417378 -2012-10-26 06:00:00,31.713535933246614,422.8981091142965 -2012-10-26 07:00:00,31.718315486016326,422.0857249273126 -2012-10-26 08:00:00,31.72641393213723,421.4061458063924 -2012-10-26 09:00:00,31.722140046884554,421.12294703359305 -2012-10-26 10:00:00,31.732731516050475,420.9099574130962 -2012-10-26 11:00:00,31.742467845477446,420.77305924197725 -2012-10-26 12:00:00,31.741069825849372,420.57131585267496 -2012-10-26 13:00:00,31.740398227106816,420.0396629812896 -2012-10-26 14:00:00,31.74205284524418,419.3846514306903 -2012-10-26 15:00:00,31.73829845222653,419.05038338612104 -2012-10-26 16:00:00,31.736649508484422,418.5535021216563 -2012-10-26 17:00:00,31.712399357571524,417.8244133374721 -2012-10-26 18:00:00,31.709384142474047,415.96679786552164 -2012-10-26 19:00:00,31.701912536152506,413.76242752480704 -2012-10-26 20:00:00,31.570328648287834,412.58937058684205 -2012-10-26 21:00:00,31.535406112181374,411.8408433568719 -2012-10-26 22:00:00,31.514108207117005,410.69271737233873 -2012-10-26 23:00:00,31.48009086698258,409.0578923044038 -2012-10-27 00:00:00,31.42839028289067,407.2380640638853 -2012-10-27 01:00:00,31.422334871551154,404.84323260394336 -2012-10-27 02:00:00,31.397435456956053,402.0411269351868 -2012-10-27 03:00:00,31.4021262303088,400.52389501318294 -2012-10-27 04:00:00,31.409467420476076,398.86314937497167 -2012-10-27 05:00:00,31.41093398978225,397.4561510979413 -2012-10-27 06:00:00,31.309473457559044,395.90765109771814 -2012-10-27 07:00:00,31.269776936747412,393.3664183425685 -2012-10-27 08:00:00,31.230854408413197,389.9814272985345 -2012-10-27 09:00:00,31.233030335158293,386.19700988436483 -2012-10-27 10:00:00,31.227957438619786,379.44075163921514 -2012-10-27 11:00:00,31.22903635028041,370.1923617744328 -2012-10-27 12:00:00,31.224408885866666,363.7235305647215 -2012-10-27 13:00:00,31.217438630458464,359.1082997657449 -2012-10-27 14:00:00,31.194037283226614,352.38217180126037 -2012-10-27 15:00:00,31.196155345772567,339.0786503312974 -2012-10-27 16:00:00,31.172245284778608,305.1873559483661 -2012-10-27 17:00:00,31.16164992586443,268.01043976312417 -2012-10-27 18:00:00,31.14864359960477,237.54721150710557 -2012-10-27 19:00:00,31.13868520990972,214.32730900297588 -2012-10-27 20:00:00,31.109045718916775,196.1098963787226 -2012-10-27 21:00:00,31.111275939294064,188.9420329349239 -2012-10-27 22:00:00,31.121387064544557,176.1983240138563 -2012-10-27 23:00:00,31.155081657122274,164.83119759648375 -2012-10-28 00:00:00,31.15298039789062,159.51781052066644 -2012-10-28 01:00:00,31.148759245754434,155.91765675362024 -2012-10-28 02:00:00,31.14559551956538,151.13675445689586 -2012-10-28 03:00:00,31.164706324884428,147.04171920032866 -2012-10-28 04:00:00,31.134900174619705,142.17967245444262 -2012-10-28 05:00:00,31.131514971493694,138.0815399850864 -2012-10-28 06:00:00,31.1355108011452,135.76904697705112 -2012-10-28 07:00:00,31.12420005041749,134.08865999024485 -2012-10-28 08:00:00,31.010650785813517,132.44959835387422 -2012-10-28 09:00:00,30.88577945567006,131.06305326026026 -2012-10-28 10:00:00,30.742553152651016,129.68728646298953 -2012-10-28 11:00:00,30.594512362797886,128.42715909081647 -2012-10-28 12:00:00,30.50922205782495,127.68282266351943 -2012-10-28 13:00:00,30.416083997849178,127.13357232837511 -2012-10-28 14:00:00,30.388688697081694,126.79350868117764 -2012-10-28 15:00:00,30.233421092689962,126.62159373999704 -2012-10-28 16:00:00,30.19092409092029,126.46325902887943 -2012-10-28 17:00:00,30.369130637286233,126.33154749555915 -2012-10-28 18:00:00,30.520025590281797,126.3352963870023 -2012-10-28 19:00:00,30.60781342428387,126.39217297982592 -2012-10-28 20:00:00,30.655767707736942,126.66190934941294 -2012-10-28 21:00:00,30.708109568018212,126.84603231907387 -2012-10-28 22:00:00,30.84010509536814,127.03299236222678 -2012-10-28 23:00:00,31.015031676394926,127.1686388210461 -2012-10-29 00:00:00,31.244055862002043,127.59774994454949 -2012-10-29 01:00:00,31.570434869399026,127.93631127442154 -2012-10-29 02:00:00,32.16221849569727,128.16280849025094 -2012-10-29 03:00:00,33.016751383200905,128.38968643806865 -2012-10-29 04:00:00,34.181064600356756,128.49550055583475 -2012-10-29 05:00:00,35.50977161352737,128.530481698901 -2012-10-29 06:00:00,36.441234570417144,128.53212632438274 -2012-10-29 07:00:00,37.10080350547366,128.50354769840217 -2012-10-29 08:00:00,37.468200010646555,128.55939075739664 -2012-10-29 09:00:00,37.578480593443764,128.77632237106926 -2012-10-29 10:00:00,37.67506335901462,129.07018753431623 -2012-10-29 11:00:00,37.73750315906001,129.3960234785791 -2012-10-29 12:00:00,38.16969963035675,129.77685540528256 -2012-10-29 13:00:00,38.46431777724572,130.2347495957821 -2012-10-29 14:00:00,38.72573612360609,130.8532836261583 -2012-10-29 15:00:00,39.0467390338206,131.54587610812104 -2012-10-29 16:00:00,39.37744615882068,132.59414558743327 -2012-10-29 17:00:00,39.94116012136148,133.65382586206832 -2012-10-29 18:00:00,40.58617754654484,135.03308126758944 -2012-10-29 19:00:00,41.46136072861212,136.81666124149845 -2012-10-29 20:00:00,42.49234405401273,138.43043434609604 -2012-10-29 21:00:00,43.72333044748489,139.53035762074248 -2012-10-29 22:00:00,45.19890254801136,140.2950178366443 -2012-10-29 23:00:00,46.68730296770933,140.78484428714535 -2012-10-30 00:00:00,47.7444472724729,141.08614885700578 -2012-10-30 01:00:00,49.026269727025635,141.62202952513292 -2012-10-30 02:00:00,50.47890919026811,142.28456832500615 -2012-10-30 03:00:00,51.74885989956453,142.67835212463248 -2012-10-30 04:00:00,52.81379718307682,143.09750773519866 -2012-10-30 05:00:00,53.571529660556735,143.502334982517 -2012-10-30 06:00:00,53.81721970038121,144.05059542486362 -2012-10-30 07:00:00,53.91448713389498,145.538030914658 -2012-10-30 08:00:00,53.99211074170909,147.8870306044644 -2012-10-30 09:00:00,54.06869660631473,149.91843324323085 -2012-10-30 10:00:00,54.15438943891067,152.26123566273614 -2012-10-30 11:00:00,54.2354270736334,154.6546753612938 -2012-10-30 12:00:00,54.55403851984078,157.23720955687378 -2012-10-30 13:00:00,54.91734713970145,161.2562731881209 -2012-10-30 14:00:00,55.18470356991338,165.04964125641874 -2012-10-30 15:00:00,57.552969519194924,166.56712748560628 -2012-10-30 16:00:00,71.10271358164168,169.0661431717993 -2012-10-30 17:00:00,84.92938278148878,169.91372362984927 -2012-10-30 18:00:00,87.72024158013889,170.31911793920793 -2012-10-30 19:00:00,87.75521907313211,171.63953215784048 -2012-10-30 20:00:00,87.34311186864726,174.06496067580204 -2012-10-30 21:00:00,86.41540446413899,174.4624553307926 -2012-10-30 22:00:00,85.31165399702492,174.59970501332214 -2012-10-30 23:00:00,84.07761091100936,174.73532214047344 -2012-10-31 00:00:00,82.67055796609347,174.9879047868905 -2012-10-31 01:00:00,81.18075244495029,175.22353375373737 -2012-10-31 02:00:00,79.88378075888443,175.42322871730738 -2012-10-31 03:00:00,79.09953956884578,175.6245451766501 -2012-10-31 04:00:00,78.48977677888203,175.83557137521248 -2012-10-31 05:00:00,77.91107290102798,176.10607750422744 -2012-10-31 06:00:00,77.47688976491031,176.37392512418532 -2012-10-31 07:00:00,77.15942426929011,176.5453535177633 -2012-10-31 08:00:00,77.00327930349746,176.6808366528374 -2012-10-31 09:00:00,77.07319009348372,176.81014294978576 -2012-10-31 10:00:00,77.20236028795398,176.95851626873295 -2012-10-31 11:00:00,77.38065484007994,177.09795342180283 -2012-10-31 12:00:00,77.43764849059568,177.2440290420244 -2012-10-31 13:00:00,77.32929231363765,177.34469623366337 -2012-10-31 14:00:00,77.71847482438983,177.35992869273053 -2012-10-31 15:00:00,78.88113753912643,177.32675528144136 -2012-10-31 16:00:00,80.69667065759128,177.24521021614845 -2012-10-31 17:00:00,84.53131371701541,177.2031326222007 -2012-10-31 18:00:00,92.46658404668254,177.2798003012311 -2012-10-31 19:00:00,109.12641512995266,177.34613635289284 -2012-10-31 20:00:00,127.20287707501433,177.41724881330578 -2012-10-31 21:00:00,136.48387886848244,177.48932788763364 -2012-10-31 22:00:00,152.18006997925622,177.56579549639042 -2012-10-31 23:00:00,183.61350336628098,177.59249608031934 -2012-11-01 00:00:00,206.42979649609381,177.56656506006937 -2012-11-01 01:00:00,220.46770672378474,177.59815332848964 -2012-11-01 02:00:00,231.45517582392498,177.69664571268282 -2012-11-01 03:00:00,238.2693480523326,177.81164278426232 -2012-11-01 04:00:00,244.80891439684024,177.93477141402693 -2012-11-01 05:00:00,251.76318774669113,178.06910207236564 -2012-11-01 06:00:00,261.0812606320336,178.11209574560735 -2012-11-01 07:00:00,273.1025988752923,178.09792953655094 -2012-11-01 08:00:00,283.0224195063532,178.0330014351357 -2012-11-01 09:00:00,287.50884418368753,177.93756887741628 -2012-11-01 10:00:00,292.1637096199624,177.69204744822437 -2012-11-01 11:00:00,297.8329216732731,177.12162116637745 -2012-11-01 12:00:00,304.76106031701045,176.328685412225 -2012-11-01 13:00:00,315.15133461038516,174.53503309352874 -2012-11-01 14:00:00,331.1869964830236,168.83132490135975 -2012-11-01 15:00:00,347.6037471991908,167.19672090614097 -2012-11-01 16:00:00,371.09597554621143,163.59957209010648 -2012-11-01 17:00:00,396.2998532639859,156.8687217949344 -2012-11-01 18:00:00,413.33669080704647,146.67126736225183 -2012-11-01 19:00:00,425.77272130840055,133.39930165883845 -2012-11-01 20:00:00,435.8776820948523,120.46648281914567 -2012-11-01 21:00:00,442.72475312710765,118.60172366219861 -2012-11-01 22:00:00,448.4453627226159,115.16142215833541 -2012-11-01 23:00:00,452.46900301864724,112.41555982123613 -2012-11-02 00:00:00,455.0054106487909,112.02502549199541 -2012-11-02 01:00:00,457.39045303136595,112.107564492489 -2012-11-02 02:00:00,460.2473592982071,112.23899984422076 -2012-11-02 03:00:00,463.19277897949513,112.39160241485402 -2012-11-02 04:00:00,465.84314412543097,112.55232152009886 -2012-11-02 05:00:00,467.3576934813805,112.71581816491967 -2012-11-02 06:00:00,467.7323208099601,112.88546948232195 -2012-11-02 07:00:00,467.9105564222987,113.04606385063231 -2012-11-02 08:00:00,468.09242002691445,113.19774145049266 -2012-11-02 09:00:00,468.2256071535246,113.35712835735556 -2012-11-02 10:00:00,468.3501744619449,113.50439611947046 -2012-11-02 11:00:00,468.4541210594391,113.63668381479486 -2012-11-02 12:00:00,468.5444602074021,113.79378670423273 -2012-11-02 13:00:00,468.61101192499285,113.94387507040821 -2012-11-02 14:00:00,468.6788413575359,114.1067945465557 -2012-11-02 15:00:00,468.76199358371105,114.27850434694165 -2012-11-02 16:00:00,468.8055410155502,114.38987645667835 -2012-11-02 17:00:00,468.8765966459716,114.49940535113429 -2012-11-02 18:00:00,468.8954112250626,114.59487763444406 -2012-11-02 19:00:00,468.90234697612163,114.64608558723582 -2012-11-02 20:00:00,468.9110568749987,114.63733223433397 -2012-11-02 21:00:00,468.92299699781483,114.63048906475048 -2012-11-02 22:00:00,468.93523682427394,114.59732981538944 -2012-11-02 23:00:00,468.96750045156625,114.59882121458696 -2012-11-03 00:00:00,468.98299636581766,114.40097574611698 -2012-11-03 01:00:00,469.005086413513,114.23106203833395 -2012-11-03 02:00:00,469.0050447965314,114.07461762829334 -2012-11-03 03:00:00,469.015116582836,113.93998084933992 -2012-11-03 04:00:00,469.0356255439114,113.79448312747796 -2012-11-03 05:00:00,469.0238163632296,113.63330199195477 -2012-11-03 06:00:00,469.032368759235,113.56372907639681 -2012-11-03 07:00:00,469.02832436749225,113.52061671822298 -2012-11-03 08:00:00,469.03926797470587,113.49717944954455 -2012-11-03 09:00:00,469.02426605025806,113.4679013708576 -2012-11-03 10:00:00,469.03612123762275,113.46752165700863 -2012-11-03 11:00:00,469.0391820638676,113.43085690391722 -2012-11-03 12:00:00,469.03912987151176,113.44228500414533 -2012-11-03 13:00:00,469.0391993815211,113.48893246225265 -2012-11-03 14:00:00,469.03508235825507,113.52210716574503 -2012-11-03 15:00:00,469.02597517672206,113.52321602994947 -2012-11-03 16:00:00,469.03100329179705,113.51933283969443 -2012-11-03 17:00:00,469.0341289029468,113.568574587649 -2012-11-03 18:00:00,469.04091278269823,113.70046441766466 -2012-11-03 19:00:00,469.0421930608663,113.75367625488764 -2012-11-03 20:00:00,469.0539079424179,114.25529008721843 -2012-11-03 21:00:00,469.0475906717753,114.52343154087332 -2012-11-03 22:00:00,469.03084708883904,115.24861359885394 -2012-11-03 23:00:00,469.0226269133661,116.74251681408384 -2012-11-04 00:00:00,469.0172963168458,117.77300786517938 -2012-11-04 01:00:00,469.0191886660823,118.01827067072401 -2012-11-04 02:00:00,469.01958551285185,117.96750807631443 -2012-11-04 03:00:00,469.00123379776795,117.81033196780577 -2012-11-04 04:00:00,469.01528545401675,117.76060661579166 -2012-11-04 05:00:00,469.0141953007274,117.79597939087871 -2012-11-04 06:00:00,469.0057514553994,117.82528120756244 -2012-11-04 07:00:00,468.9903832905894,117.86216627976388 -2012-11-04 08:00:00,468.99075196680775,117.91163749204811 -2012-11-04 09:00:00,468.99154163220555,117.94637490964011 -2012-11-04 10:00:00,468.9826011305153,117.95736821596492 -2012-11-04 11:00:00,468.97929352284,117.9463237343058 -2012-11-04 12:00:00,468.91232489430257,117.90179432420922 -2012-11-04 13:00:00,468.8345106760186,117.82955647304011 -2012-11-04 14:00:00,468.6857082302621,117.74395522130982 -2012-11-04 15:00:00,468.63570666542,117.65279144638842 -2012-11-04 16:00:00,468.5222141252771,117.60842074672823 -2012-11-04 17:00:00,468.31230061985576,117.5835342708068 -2012-11-04 18:00:00,468.13516985992106,117.50702132517164 -2012-11-04 19:00:00,468.03763851855416,117.39421638277219 -2012-11-04 20:00:00,467.9727294597095,117.14257969074383 -2012-11-04 21:00:00,467.9153330307845,117.00366413617064 -2012-11-04 22:00:00,467.7773833662824,116.87173833163415 -2012-11-04 23:00:00,467.6033538374702,116.79380480025813 -2012-11-05 00:00:00,467.3722293209304,116.4280290709339 -2012-11-05 01:00:00,467.0311502110146,116.14432533592144 -2012-11-05 02:00:00,466.42732525177445,115.94510670826831 -2012-11-05 03:00:00,465.55795147069273,115.7228302151495 -2012-11-05 04:00:00,464.3967361065471,115.54265941612931 -2012-11-05 05:00:00,463.0742489887181,115.43014816861387 -2012-11-05 06:00:00,462.1396141715214,115.31939372899726 -2012-11-05 07:00:00,461.4830274449009,115.2574576871586 -2012-11-05 08:00:00,461.12286013771865,115.15647437802733 -2012-11-05 09:00:00,461.0062734795433,114.92384413822981 -2012-11-05 10:00:00,460.9149775698989,114.63141184370164 -2012-11-05 11:00:00,460.8614890299331,114.32818376285205 -2012-11-05 12:00:00,460.4318404727228,113.93777434657942 -2012-11-05 13:00:00,460.12912297414636,113.45537490738522 -2012-11-05 14:00:00,459.859148869809,112.7800252765734 -2012-11-05 15:00:00,459.50670871995885,112.03914256233183 -2012-11-05 16:00:00,459.09552651423706,110.97594550340041 -2012-11-05 17:00:00,458.4392609464585,109.88831722458058 -2012-11-05 18:00:00,457.71273241005764,108.50163494263641 -2012-11-05 19:00:00,456.6873548403363,106.71491703346882 -2012-11-05 20:00:00,455.4484717044436,105.08380270507091 -2012-11-05 21:00:00,454.10024949957483,103.98453430399809 -2012-11-05 22:00:00,452.58933919545564,103.21657727403813 -2012-11-05 23:00:00,451.0966525874268,102.70989022412685 -2012-11-06 00:00:00,450.0267849214892,102.34131957321753 -2012-11-06 01:00:00,448.734700601603,101.76775163047594 -2012-11-06 02:00:00,447.2779899568946,101.06690229510758 -2012-11-06 03:00:00,445.9989067854732,100.61258904105011 -2012-11-06 04:00:00,444.9138952358883,100.11226824359517 -2012-11-06 05:00:00,444.1717343609765,99.61943883068383 -2012-11-06 06:00:00,443.9579906594684,98.9742607550515 -2012-11-06 07:00:00,443.8710367486249,97.44617321567951 -2012-11-06 08:00:00,443.80632334593565,95.04192094889925 -2012-11-06 09:00:00,443.84379786746314,92.95037877414309 -2012-11-06 10:00:00,443.94468267041515,90.48014131933425 -2012-11-06 11:00:00,444.0842247360584,87.91621798660721 -2012-11-06 12:00:00,443.7897226317436,85.15664631393803 -2012-11-06 13:00:00,443.42832762147833,81.06586075029826 -2012-11-06 14:00:00,443.1136962800019,77.21811964629357 -2012-11-06 15:00:00,440.67244020154726,75.57826089253075 -2012-11-06 16:00:00,426.976362972036,72.8917660797522 -2012-11-06 17:00:00,412.94595681955093,71.73450388191054 -2012-11-06 18:00:00,409.7506872860229,71.21635570002648 -2012-11-06 19:00:00,409.1155148047095,70.07228000992656 -2012-11-06 20:00:00,408.5887503361287,67.92495610366437 -2012-11-06 21:00:00,408.39796335650334,67.49806441246093 -2012-11-06 22:00:00,408.23200336200784,67.24043392842827 -2012-11-06 23:00:00,408.112274645531,66.9865450158824 -2012-11-07 00:00:00,408.09361715774105,66.69201630967054 -2012-11-07 01:00:00,408.07797230252555,66.44279271000988 -2012-11-07 02:00:00,408.07971642312276,66.2313714667049 -2012-11-07 03:00:00,408.0802504049255,66.02376979458838 -2012-11-07 04:00:00,408.0761677534843,65.77411781391109 -2012-11-07 05:00:00,408.06729926910947,65.48109627399464 -2012-11-07 06:00:00,408.24879020601674,65.24463082675834 -2012-11-07 07:00:00,408.53718587458184,65.16532357501315 -2012-11-07 08:00:00,408.8461658645203,66.96810842658365 -2012-11-07 09:00:00,408.9827270959368,68.57934920012062 -2012-11-07 10:00:00,409.0654393303213,70.97229120309892 -2012-11-07 11:00:00,409.00438941174434,74.33183035725364 -2012-11-07 12:00:00,408.67335389762246,80.06630376106774 -2012-11-07 13:00:00,408.37479647767344,86.39091132841044 -2012-11-07 14:00:00,407.36386924568814,90.04938990014534 -2012-11-07 15:00:00,405.62796924893144,90.78552956766431 -2012-11-07 16:00:00,404.32547332457324,91.94150962440578 -2012-11-07 17:00:00,403.2657556278453,93.12162980591441 -2012-11-07 18:00:00,400.53505087433956,93.9939587150606 -2012-11-07 19:00:00,395.1060046957265,94.384926296578 -2012-11-07 20:00:00,382.7995295470191,94.59365505979947 -2012-11-07 21:00:00,373.2814799476515,94.74954256108363 -2012-11-07 22:00:00,357.2617498668139,94.88246346751016 -2012-11-07 23:00:00,325.43350850823407,95.00099281278955 -2012-11-08 00:00:00,302.1844732830542,95.18164378097643 -2012-11-08 01:00:00,287.8024641882717,95.39890232012286 -2012-11-08 02:00:00,276.5643736517115,95.7654603192747 -2012-11-08 03:00:00,269.50285016672746,96.11597235107699 -2012-11-08 04:00:00,262.68549595498547,96.51570969616316 -2012-11-08 05:00:00,255.40494384064158,96.9007685534162 -2012-11-08 06:00:00,245.83777412548326,97.67170267004114 -2012-11-08 07:00:00,233.56885525685058,98.53022808172672 -2012-11-08 08:00:00,223.43824951970066,99.74951290827413 -2012-11-08 09:00:00,218.75611865701967,100.88107385513244 -2012-11-08 10:00:00,213.9943182299854,102.02371394264604 -2012-11-08 11:00:00,208.23120568538786,103.27961708399313 -2012-11-08 12:00:00,201.1146065602134,104.27584009423677 -2012-11-08 13:00:00,190.6871469205655,105.44395473034065 -2012-11-08 14:00:00,174.63643748036506,106.82038456148916 -2012-11-08 15:00:00,158.06605988020573,107.79197840903912 -2012-11-08 16:00:00,134.43490836962764,108.79487511977739 -2012-11-08 17:00:00,109.1312049958162,108.99592732679628 -2012-11-08 18:00:00,91.99576457663981,108.98384676881506 -2012-11-08 19:00:00,79.45670074076932,108.95224063853968 -2012-11-08 20:00:00,69.231557553826,108.89674992269951 -2012-11-08 21:00:00,62.2824674896567,108.85035481310506 -2012-11-08 22:00:00,56.42083457527753,108.77607056776222 -2012-11-08 23:00:00,52.19500815416145,108.70937393294706 -2012-11-09 00:00:00,49.44244581513507,108.64585271786822 -2012-11-09 01:00:00,46.92547141054145,108.58094277868614 -2012-11-09 02:00:00,43.99078158022842,108.52560869039448 -2012-11-09 03:00:00,41.017691683878816,108.45295887817578 -2012-11-09 04:00:00,38.3513425244019,108.39362849670493 -2012-11-09 05:00:00,36.85707938199024,108.33637458284157 -2012-11-09 06:00:00,36.51321749942096,108.31707276471708 -2012-11-09 07:00:00,36.368211804579715,108.31617434697871 -2012-11-09 08:00:00,36.21910097454082,108.31595303916613 -2012-11-09 09:00:00,36.09893615189016,108.29773263490766 -2012-11-09 10:00:00,36.004290925209716,108.32848398505082 -2012-11-09 11:00:00,35.94436997966486,108.69031460399187 -2012-11-09 12:00:00,35.88005869241305,109.65105175883569 -2012-11-09 13:00:00,35.84836768448703,113.28778755550013 -2012-11-09 14:00:00,35.83386719335519,122.05587942241648 -2012-11-09 15:00:00,35.787232164194855,124.06741223300126 -2012-11-09 16:00:00,35.755712697829466,126.35710757081617 -2012-11-09 17:00:00,35.715145669294806,128.57137673635353 -2012-11-09 18:00:00,35.740816788940485,130.48604443618171 -2012-11-09 19:00:00,35.79253193124287,134.77116973206338 -2012-11-09 20:00:00,35.80151583933777,142.75655778153765 -2012-11-09 21:00:00,35.79202309728436,144.22211721587712 -2012-11-09 22:00:00,35.782611218833345,145.42810399374952 -2012-11-09 23:00:00,35.7528248160643,145.80485282979802 -2012-11-10 00:00:00,35.74392353575061,145.93362159615475 -2012-11-10 01:00:00,35.742056860184135,145.9918859495144 -2012-11-10 02:00:00,35.74962324701898,146.0504907046721 -2012-11-10 03:00:00,35.732448518362766,146.10450589254452 -2012-11-10 04:00:00,35.71500518633845,146.1668347762173 -2012-11-10 05:00:00,35.72666466521231,146.22353394464056 -2012-11-10 06:00:00,35.7718317984387,146.28248372657262 -2012-11-10 07:00:00,35.81519465220889,146.3390967904419 -2012-11-10 08:00:00,35.85634252063341,146.3891726313848 -2012-11-10 09:00:00,35.93551716882153,146.44738009935188 -2012-11-10 10:00:00,36.085636711260626,146.49572407127573 -2012-11-10 11:00:00,36.26247816025452,146.55142466203938 -2012-11-10 12:00:00,36.589098567914185,146.60210269017915 -2012-11-10 13:00:00,37.05388980096989,146.61836433394402 -2012-11-10 14:00:00,37.56266628126917,146.65580510298037 -2012-11-10 15:00:00,37.95176639992674,146.74540772589347 -2012-11-10 16:00:00,38.2675099829925,147.10525945922478 -2012-11-10 17:00:00,38.58424199504457,147.50457701935153 -2012-11-10 18:00:00,39.81014676800959,147.36312311840072 -2012-11-10 19:00:00,40.791953873408964,146.61239450250486 -2012-11-10 20:00:00,41.3345365515254,145.80962096765637 -2012-11-10 21:00:00,41.76113581541135,145.56784026431126 -2012-11-10 22:00:00,42.15470332604592,144.8541903563161 -2012-11-10 23:00:00,42.44798591231073,143.39924983442154 -2012-11-11 00:00:00,42.726448076866134,141.8806843440874 -2012-11-11 01:00:00,42.91301314685381,141.11004121316256 -2012-11-11 02:00:00,43.066929456153574,140.83008866073615 -2012-11-11 03:00:00,43.25265754345932,140.89368771659207 -2012-11-11 04:00:00,43.42233859664118,140.94775071933074 -2012-11-11 05:00:00,43.66863776049781,141.00523383805563 -2012-11-11 06:00:00,44.02805886469581,141.0618055861429 -2012-11-11 07:00:00,44.37379487564429,141.12066857508245 -2012-11-11 08:00:00,44.6520557955483,141.177627917731 -2012-11-11 09:00:00,44.912340704454294,141.23572402143336 -2012-11-11 10:00:00,45.12600981410254,141.29469465159696 -2012-11-11 11:00:00,45.26869235090641,141.34457183762373 -2012-11-11 12:00:00,45.63042489587343,141.4055116346462 -2012-11-11 13:00:00,45.98707962951458,141.4542854817074 -2012-11-11 14:00:00,46.295766799915484,141.47765116501864 -2012-11-11 15:00:00,46.462197087109864,141.53110014912662 -2012-11-11 16:00:00,46.527646666603246,141.5872063131995 -2012-11-11 17:00:00,46.51614449694859,141.63765677224927 -2012-11-11 18:00:00,46.518217297953676,141.6904442979152 -2012-11-11 19:00:00,46.519153604947284,141.74369934535258 -2012-11-11 20:00:00,46.515611041881485,141.79509518236281 -2012-11-11 21:00:00,46.52375679071139,141.8723535140601 -2012-11-11 22:00:00,46.52295237024245,141.96042760062878 -2012-11-11 23:00:00,46.538652415522954,142.04837462780964 -2012-11-12 00:00:00,46.5542039634045,142.23590712344463 -2012-11-12 01:00:00,46.56792239518567,142.45459007249772 -2012-11-12 02:00:00,46.581274566014535,142.61856989815956 -2012-11-12 03:00:00,46.607937136033314,142.72422134068594 -2012-11-12 04:00:00,46.637482353072116,142.7364866902366 -2012-11-12 05:00:00,46.64913486028175,142.8293951332486 -2012-11-12 06:00:00,46.65883488441304,142.95974951614778 -2012-11-12 07:00:00,46.66413993540352,143.1514289641362 -2012-11-12 08:00:00,46.65844692526809,143.3785919230144 -2012-11-12 09:00:00,46.66065805462863,143.427770673121 -2012-11-12 10:00:00,46.66868593047755,143.48791585111883 -2012-11-12 11:00:00,46.67227346698098,143.53209458758246 -2012-11-12 12:00:00,46.68772086261702,143.841400440244 -2012-11-12 13:00:00,46.69996843885086,144.06607059144994 -2012-11-12 14:00:00,46.70125775461085,144.48615787569076 -2012-11-12 15:00:00,46.729907941043905,145.22790625402516 -2012-11-12 16:00:00,46.72162789946624,146.97036189399415 -2012-11-12 17:00:00,46.713133996200355,148.9803033249184 -2012-11-12 18:00:00,46.71558288016245,150.25790427711593 -2012-11-12 19:00:00,46.714493961158155,151.35462587092587 -2012-11-12 20:00:00,46.71562215582527,152.41009897066687 -2012-11-12 21:00:00,46.71503829933963,152.627651575273 -2012-11-12 22:00:00,46.71958613793598,152.77323348709086 -2012-11-12 23:00:00,46.71719011532531,152.8635316635964 -2012-11-13 00:00:00,46.71786676988114,152.9023326216452 -2012-11-13 01:00:00,46.721770995454335,152.98952046315677 -2012-11-13 02:00:00,46.72649438364565,153.05134186451536 -2012-11-13 03:00:00,46.73311331263798,153.06553775472887 -2012-11-13 04:00:00,46.732907702349145,153.07005079910033 -2012-11-13 05:00:00,46.73391247927138,153.10556311518022 -2012-11-13 06:00:00,46.69409240854339,153.135151168923 -2012-11-13 07:00:00,46.67568468617775,153.1591580346892 -2012-11-13 08:00:00,46.64940891095303,153.17148820733155 -2012-11-13 09:00:00,46.53260778840368,153.15998176520748 -2012-11-13 10:00:00,46.324864315259504,153.19363883032406 -2012-11-13 11:00:00,46.08401098250702,153.28456182091844 -2012-11-13 12:00:00,46.06626219209663,153.59895483124018 -2012-11-13 13:00:00,46.03142895399029,154.17375856634254 -2012-11-13 14:00:00,46.02670873787702,155.78249935309802 -2012-11-13 15:00:00,46.02684481466362,156.9918672633381 -2012-11-13 16:00:00,46.02847543789621,161.17739952212645 -2012-11-13 17:00:00,46.02372225218012,167.60411218297673 -2012-11-13 18:00:00,46.02236501428515,171.69157313685798 -2012-11-13 19:00:00,46.020352759001646,175.00900479431385 -2012-11-13 20:00:00,46.02261691458444,176.69404306068373 -2012-11-13 21:00:00,46.03497153092825,177.31069720328495 -2012-11-13 22:00:00,46.09240591077096,177.87365700328817 -2012-11-13 23:00:00,46.14240030981918,178.30348468804007 -2012-11-14 00:00:00,46.131570144805345,178.56915466084504 -2012-11-14 01:00:00,46.128590541510285,178.74216599780667 -2012-11-14 02:00:00,46.113182024977164,178.86415172856522 -2012-11-14 03:00:00,46.112291033430154,178.91883385774238 -2012-11-14 04:00:00,46.12280397462575,178.964334139964 -2012-11-14 05:00:00,46.11250733851733,178.98238176896658 -2012-11-14 06:00:00,45.913759041038794,178.96575494078314 -2012-11-14 07:00:00,45.553933788666875,178.8811522300609 -2012-11-14 08:00:00,45.13080482116003,177.02902858862086 -2012-11-14 09:00:00,44.73490098531852,175.43627206393614 -2012-11-14 10:00:00,44.34260062163367,173.20158010220672 -2012-11-14 11:00:00,43.9367135362063,170.0542742708925 -2012-11-14 12:00:00,43.65342704129383,164.46782243583507 -2012-11-14 13:00:00,43.37677838337333,158.18598897597133 -2012-11-14 14:00:00,43.24956396731074,154.51563728094615 -2012-11-14 15:00:00,43.16152288320128,153.70335544949546 -2012-11-14 16:00:00,42.13256662690409,152.53132885944964 -2012-11-14 17:00:00,38.95211680582234,151.3508775255743 -2012-11-14 18:00:00,33.34271429251729,150.4321319135215 -2012-11-14 19:00:00,21.766194640954986,149.956531061348 -2012-11-14 20:00:00,15.589418321972133,149.62094198879367 -2012-11-14 21:00:00,15.335804318869393,149.31560753527887 -2012-11-14 22:00:00,15.213915092831849,149.022249157388 -2012-11-14 23:00:00,15.15416876758073,148.7392315879219 -2012-11-15 00:00:00,15.225179998237985,148.46137618194186 -2012-11-15 01:00:00,15.379739942660688,148.12507957644357 -2012-11-15 02:00:00,15.665162182353777,147.63993601606086 -2012-11-15 03:00:00,15.889180412612026,147.1666564016947 -2012-11-15 04:00:00,16.160893955232343,146.6573440226726 -2012-11-15 05:00:00,16.29102953611221,146.14277175491864 -2012-11-15 06:00:00,16.611091837248328,145.24193333703752 -2012-11-15 07:00:00,16.852472794553435,144.2424795414729 -2012-11-15 08:00:00,17.068659510089578,142.89005228448096 -2012-11-15 09:00:00,17.325907558355254,141.6205586413891 -2012-11-15 10:00:00,17.72582320790354,140.33556100297972 -2012-11-15 11:00:00,18.41133269392203,138.9177146516905 -2012-11-15 12:00:00,18.713292488196245,137.7747474491932 -2012-11-15 13:00:00,18.82325397930249,136.48687968752967 -2012-11-15 14:00:00,18.826289857494615,135.00000018887914 -2012-11-15 15:00:00,18.92719042901269,133.89754505894922 -2012-11-15 16:00:00,18.96852063158344,132.7325389837702 -2012-11-15 17:00:00,19.013232184857827,132.35450056249812 -2012-11-15 18:00:00,19.053890585629663,132.28817998652477 -2012-11-15 19:00:00,19.08363400272386,132.16678618100116 -2012-11-15 20:00:00,19.117658284461164,132.0584894044798 -2012-11-15 21:00:00,19.154605082297852,131.95718477261593 -2012-11-15 22:00:00,19.200428010858193,131.86850075010878 -2012-11-15 23:00:00,19.278069785058758,131.7804685947029 -2012-11-16 00:00:00,19.459604732575066,131.6919529322903 -2012-11-16 01:00:00,19.57927419705082,131.6063428900001 -2012-11-16 02:00:00,19.644686905847614,131.5082592276745 -2012-11-16 03:00:00,19.707576538782135,131.42418353274593 -2012-11-16 04:00:00,19.667475030623706,131.31710844702852 -2012-11-16 05:00:00,19.65587554880634,131.21702269881482 -2012-11-16 06:00:00,19.70545890119209,131.0929202646727 -2012-11-16 07:00:00,19.81971850629634,130.93872641962838 -2012-11-16 08:00:00,20.169293634035224,130.79359010243257 -2012-11-16 09:00:00,20.689696848413067,130.66612498418252 -2012-11-16 10:00:00,21.257093875076844,130.5200327658252 -2012-11-16 11:00:00,21.750753909230777,130.09199875741393 -2012-11-16 12:00:00,22.127524348039444,129.08239468812513 -2012-11-16 13:00:00,22.440939244268588,125.51612331681834 -2012-11-16 14:00:00,22.651369458574532,117.5724674990678 -2012-11-16 15:00:00,22.748074068470622,116.64767543186504 -2012-11-16 16:00:00,22.738564946848996,118.2367334081812 -2012-11-16 17:00:00,22.745971975907185,117.58287353437521 -2012-11-16 18:00:00,22.747618778637648,115.74419275021181 -2012-11-16 19:00:00,22.72041827932849,111.32619543327507 -2012-11-16 20:00:00,22.722361179389452,103.19399400279275 -2012-11-16 21:00:00,22.724954221706916,101.57315760964278 -2012-11-16 22:00:00,22.723935879324433,100.21111128817961 -2012-11-16 23:00:00,22.722201530532143,99.65870256756419 -2012-11-17 00:00:00,22.703088076256176,99.49693149042469 -2012-11-17 01:00:00,22.680889547313793,99.40774000959995 -2012-11-17 02:00:00,22.662899642479413,99.30701234780521 -2012-11-17 03:00:00,22.65674272441802,99.18853697836703 -2012-11-17 04:00:00,22.659782300382446,99.089280895712 -2012-11-17 05:00:00,22.65247764767997,98.98457378123902 -2012-11-17 06:00:00,22.609486296656915,98.87081157274861 -2012-11-17 07:00:00,22.67012576753394,98.76187299221664 -2012-11-17 08:00:00,22.898110238315716,98.65417336618604 -2012-11-17 09:00:00,23.09649863637672,98.54585091506439 -2012-11-17 10:00:00,23.151486343792556,98.45358880538215 -2012-11-17 11:00:00,23.123924041494675,98.3568161045613 -2012-11-17 12:00:00,23.16945673112401,98.25885285438567 -2012-11-17 13:00:00,23.127151380666724,98.220744621738 -2012-11-17 14:00:00,23.06602918391626,98.35530514768858 -2012-11-17 15:00:00,22.99699450705961,98.36815325070708 -2012-11-17 16:00:00,22.847631167360422,98.18616133610557 -2012-11-17 17:00:00,22.6380808520325,97.88935369167804 -2012-11-17 18:00:00,21.44029210446918,97.79400098594466 -2012-11-17 19:00:00,20.49497589286132,97.79338522206206 -2012-11-17 20:00:00,20.11014294473234,97.82311325364425 -2012-11-17 21:00:00,19.774146422483334,97.83529475857202 -2012-11-17 22:00:00,19.472713223586997,97.82750042795746 -2012-11-17 23:00:00,19.226394298935308,97.80128268635897 -2012-11-18 00:00:00,18.99983703923323,97.85569921476842 -2012-11-18 01:00:00,18.87313059153325,97.90662049326511 -2012-11-18 02:00:00,18.797934943111148,97.97989639271731 -2012-11-18 03:00:00,18.66292744728361,98.02174009263797 -2012-11-18 04:00:00,18.513295237150885,98.0248358356654 -2012-11-18 05:00:00,18.270792036180424,97.99768903902944 -2012-11-18 06:00:00,17.96336198412344,97.9609851315202 -2012-11-18 07:00:00,17.65126700290307,97.91575117872323 -2012-11-18 08:00:00,17.428966854273078,97.9169621189436 -2012-11-18 09:00:00,17.255626644261625,97.88260796276498 -2012-11-18 10:00:00,17.17646576737152,97.86903921992567 -2012-11-18 11:00:00,17.208809490950497,97.8825592567812 -2012-11-18 12:00:00,16.951089837272168,97.87271530418774 -2012-11-18 13:00:00,16.794765364292616,97.87016628020764 -2012-11-18 14:00:00,16.721723310381194,97.84932181708186 -2012-11-18 15:00:00,16.866260111984154,97.81751520609005 -2012-11-18 16:00:00,17.344124024784982,97.76451036219152 -2012-11-18 17:00:00,17.98451452512507,97.715634512258 -2012-11-18 18:00:00,18.358615638375873,97.69729876098957 -2012-11-18 19:00:00,18.70931569062165,97.67546017061782 -2012-11-18 20:00:00,19.099093091029076,97.65930909760637 -2012-11-18 21:00:00,19.368382645582447,97.59684747499328 -2012-11-18 22:00:00,19.66649078540571,97.51962704681443 -2012-11-18 23:00:00,19.920446176574682,97.42601075074967 -2012-11-19 00:00:00,20.193111515645757,97.24510914588653 -2012-11-19 01:00:00,20.52237852645807,97.03011772288995 -2012-11-19 02:00:00,20.970870053177357,96.86399384039649 -2012-11-19 03:00:00,21.302303456797862,96.76398606503683 -2012-11-19 04:00:00,21.562848897428932,96.75341166692799 -2012-11-19 05:00:00,21.735328793985275,96.65716015755466 -2012-11-19 06:00:00,21.877158118062663,96.52643981966027 -2012-11-19 07:00:00,22.076350133501833,96.33645668023198 -2012-11-19 08:00:00,22.582347062267164,96.10306983666072 -2012-11-19 09:00:00,23.416686595552665,96.05879211419013 -2012-11-19 10:00:00,24.641512877544567,95.99022478846223 -2012-11-19 11:00:00,26.08807078688298,95.94171634663034 -2012-11-19 12:00:00,27.660783101901494,95.62746025855334 -2012-11-19 13:00:00,28.905782815145944,95.40060290251287 -2012-11-19 14:00:00,29.642422849713025,94.96815434834798 -2012-11-19 15:00:00,30.15439347848752,94.22563642201435 -2012-11-19 16:00:00,30.50509532200541,92.46408164820105 -2012-11-19 17:00:00,30.7292037217183,90.44545623938596 -2012-11-19 18:00:00,31.0345790900164,89.15713938577223 -2012-11-19 19:00:00,31.274577762643904,88.02923289305853 -2012-11-19 20:00:00,31.394552039506078,86.93365713907565 -2012-11-19 21:00:00,31.574007793898602,86.6952593253569 -2012-11-19 22:00:00,31.64276208740218,86.54606997170413 -2012-11-19 23:00:00,31.65679187514704,86.45165843521787 -2012-11-20 00:00:00,31.76202948144415,86.42005044848864 -2012-11-20 01:00:00,31.907168179550915,86.336318213768 -2012-11-20 02:00:00,31.998295781705625,86.28228493346582 -2012-11-20 03:00:00,32.0464361284075,86.26703085444629 -2012-11-20 04:00:00,32.10407680675839,86.26321222064126 -2012-11-20 05:00:00,32.13212772241515,86.23081763159195 -2012-11-20 06:00:00,32.31029603657161,86.2793134494531 -2012-11-20 07:00:00,32.59064496111325,86.34586408268677 -2012-11-20 08:00:00,32.99193813142474,86.43494886150427 -2012-11-20 09:00:00,33.49975572754358,86.54588864187636 -2012-11-20 10:00:00,34.00492139502482,86.61150812931825 -2012-11-20 11:00:00,34.4894778554573,86.51574647685185 -2012-11-20 12:00:00,35.109106373100154,86.16638768262598 -2012-11-20 13:00:00,35.57201393674179,85.51050010955475 -2012-11-20 14:00:00,35.84888633336248,83.74807021847795 -2012-11-20 15:00:00,35.967622349487364,82.48620137184224 -2012-11-20 16:00:00,36.06969802988652,78.22203495403733 -2012-11-20 17:00:00,36.18713918417928,71.75002490164505 -2012-11-20 18:00:00,36.20757905437661,67.54906691962364 -2012-11-20 19:00:00,36.22111621157325,64.00619603871544 -2012-11-20 20:00:00,36.214870748044085,61.96326654547579 -2012-11-20 21:00:00,36.20099595718841,61.293781439839954 -2012-11-20 22:00:00,36.14398887954556,60.781736533216616 -2012-11-20 23:00:00,36.095887740604645,60.40512324622421 -2012-11-21 00:00:00,36.15001819504844,60.37448561080659 -2012-11-21 01:00:00,36.181167965769994,60.60606723288853 -2012-11-21 02:00:00,36.18980800811076,61.169590106703254 -2012-11-21 03:00:00,36.184907356801894,61.74174374991522 -2012-11-21 04:00:00,36.173447196198055,62.179189222481966 -2012-11-21 05:00:00,36.1771199583205,62.612294532107136 -2012-11-21 06:00:00,36.25659942798359,63.11076926582225 -2012-11-21 07:00:00,36.3447625483048,63.66927734684843 -2012-11-21 08:00:00,36.34741493722732,64.17351188204607 -2012-11-21 09:00:00,36.40828078075797,64.50777865308088 -2012-11-21 10:00:00,36.52993681013865,64.70302923959636 -2012-11-21 11:00:00,36.7074379402324,64.67422813002779 -2012-11-21 12:00:00,36.90470329797376,64.9112532177254 -2012-11-21 13:00:00,36.955085072172906,66.11795849097555 -2012-11-21 14:00:00,36.97050968336453,82.65798125992274 -2012-11-21 15:00:00,36.96836222375716,108.36044463210398 -2012-11-21 16:00:00,36.953422016082236,137.29436912018727 -2012-11-21 17:00:00,36.956266183484786,160.88678591247964 -2012-11-21 18:00:00,37.008102347885185,168.8326823200064 -2012-11-21 19:00:00,37.412686256690364,171.88242596151366 -2012-11-21 20:00:00,38.05058415513473,174.9868149952479 -2012-11-21 21:00:00,38.46628109392677,175.97236265399522 -2012-11-21 22:00:00,38.728194478047264,177.21941664184814 -2012-11-21 23:00:00,38.76390814431,178.45428735722345 -2012-11-22 00:00:00,38.73382925991169,179.72402265794761 -2012-11-22 01:00:00,38.60488575123275,180.4696294811453 -2012-11-22 02:00:00,38.32720931680646,180.88399205850308 -2012-11-22 03:00:00,38.073648456792846,181.1718632575745 -2012-11-22 04:00:00,37.798694552633705,181.37163719603336 -2012-11-22 05:00:00,37.628903085054645,181.54230940017925 -2012-11-22 06:00:00,37.32636494771675,181.6146036820286 -2012-11-22 07:00:00,37.17040527636605,181.68445635022803 -2012-11-22 08:00:00,37.04797623756518,181.74692440292398 -2012-11-22 09:00:00,36.973518416432114,181.8530762322725 -2012-11-22 10:00:00,36.821902742307586,182.04979940564206 -2012-11-22 11:00:00,36.55838296502302,182.33866697929034 -2012-11-22 12:00:00,37.194519210791746,182.5693582189405 -2012-11-22 13:00:00,37.87607884708199,183.05290730796318 -2012-11-22 14:00:00,38.432284368155116,184.65721940480702 -2012-11-22 15:00:00,39.045299251764824,195.2273773140411 -2012-11-22 16:00:00,39.75836147926847,220.0338839357633 -2012-11-22 17:00:00,40.65543890970564,234.97650203796323 -2012-11-22 18:00:00,41.475070877055146,242.9639598290002 -2012-11-22 19:00:00,42.32483114730757,244.02295990594314 -2012-11-22 20:00:00,43.03763226668056,244.94936107332654 -2012-11-22 21:00:00,43.60505414245378,245.70223602313902 -2012-11-22 22:00:00,44.12382384433836,246.3703754107986 -2012-11-22 23:00:00,44.57968890967951,246.7768374252866 -2012-11-23 00:00:00,45.42459332716971,246.99663293044944 -2012-11-23 01:00:00,46.348914036002235,247.174995593156 -2012-11-23 02:00:00,47.33448114503543,247.2560295745103 -2012-11-23 03:00:00,48.1514398862935,247.30339487245118 -2012-11-23 04:00:00,48.93208276981851,247.33920964439784 -2012-11-23 05:00:00,49.52696232414447,247.34197073733617 -2012-11-23 06:00:00,50.30746237702741,247.41629507314815 -2012-11-23 07:00:00,51.33174369371761,247.45090232803562 -2012-11-23 08:00:00,52.450041173814604,247.5095824293267 -2012-11-23 09:00:00,53.5825839767068,247.67801162604331 -2012-11-23 10:00:00,54.90348866049814,247.9131938301953 -2012-11-23 11:00:00,56.09417509860635,248.00110232779016 -2012-11-23 12:00:00,57.18664659875839,248.08182990453625 -2012-11-23 13:00:00,57.52304510099257,247.95555881391022 -2012-11-23 14:00:00,57.73508701254858,246.99833265876399 -2012-11-23 15:00:00,57.91905879167731,245.76603287379288 -2012-11-23 16:00:00,58.05579601045924,241.79547297884773 -2012-11-23 17:00:00,58.064274476226004,240.13843047669772 -2012-11-23 18:00:00,58.039730597150786,240.41076598284877 -2012-11-23 19:00:00,58.029302111212466,240.74444864714224 -2012-11-23 20:00:00,58.02821348268164,241.12057030192264 -2012-11-23 21:00:00,58.050670079020435,241.38529101336354 -2012-11-23 22:00:00,58.097909377970375,241.63685540251802 -2012-11-23 23:00:00,58.149297881320436,241.7842011564797 -2012-11-24 00:00:00,58.347187512416795,241.88986722972527 -2012-11-24 01:00:00,58.427125849863636,242.03422410648793 -2012-11-24 02:00:00,58.45097451087533,242.33124979142207 -2012-11-24 03:00:00,58.47926502306674,242.62555898958874 -2012-11-24 04:00:00,58.48491104736127,243.3252392877154 -2012-11-24 05:00:00,58.5094824559092,245.08941177345142 -2012-11-24 06:00:00,58.56404127615738,247.04500121667553 -2012-11-24 07:00:00,58.57797482106149,248.91753085213855 -2012-11-24 08:00:00,58.49215038338991,251.2019996617545 -2012-11-24 09:00:00,58.49064136930101,253.64678611982225 -2012-11-24 10:00:00,58.64099312555478,257.10684477401577 -2012-11-24 11:00:00,58.875587969744196,261.0563325341028 -2012-11-24 12:00:00,58.81118915734584,264.60853463911843 -2012-11-24 13:00:00,58.59193211023357,269.8019816595617 -2012-11-24 14:00:00,58.19597802558325,276.17861081289044 -2012-11-24 15:00:00,57.87150034202822,280.3333584079931 -2012-11-24 16:00:00,57.69681437458184,286.4814086495808 -2012-11-24 17:00:00,57.58641276926882,291.5418813393491 -2012-11-24 18:00:00,57.60213074019636,294.1409881701942 -2012-11-24 19:00:00,57.627235086863,297.8262592112114 -2012-11-24 20:00:00,57.49271926834053,307.37680953571476 -2012-11-24 21:00:00,57.43208867788513,310.20505152391877 -2012-11-24 22:00:00,57.37602583197647,314.7539139693033 -2012-11-24 23:00:00,57.38641894958465,319.31351378327315 -2012-11-25 00:00:00,57.898079986658324,322.63535176164515 -2012-11-25 01:00:00,58.34496119379714,324.62147142187604 -2012-11-25 02:00:00,58.52377755250312,325.9534032078082 -2012-11-25 03:00:00,58.67345006596527,327.36390122412644 -2012-11-25 04:00:00,58.877237975202135,329.65262806096166 -2012-11-25 05:00:00,59.100593231358815,332.41925604169666 -2012-11-25 06:00:00,59.53507214425223,333.9521685563272 -2012-11-25 07:00:00,59.75649563197846,334.50676473768436 -2012-11-25 08:00:00,60.0582792204906,334.73324334933557 -2012-11-25 09:00:00,60.198492312758866,334.92261306398376 -2012-11-25 10:00:00,60.34747219664589,335.143055765727 -2012-11-25 11:00:00,60.53865633946629,335.38394435143374 -2012-11-25 12:00:00,60.91391515556161,335.66855026859037 -2012-11-25 13:00:00,61.13769092521224,336.05354728359987 -2012-11-25 14:00:00,61.39230378193812,336.4967437955614 -2012-11-25 15:00:00,62.13752543520455,336.7948837007533 -2012-11-25 16:00:00,64.10098124209287,337.0537919506276 -2012-11-25 17:00:00,65.92082253805266,337.2148244589295 -2012-11-25 18:00:00,67.40743858610091,337.2245280432466 -2012-11-25 19:00:00,68.99212768284198,337.19466734829854 -2012-11-25 20:00:00,71.55905384204213,337.1625867657617 -2012-11-25 21:00:00,77.04999948820566,337.1734922698261 -2012-11-25 22:00:00,96.07369730371906,337.2097156992547 -2012-11-25 23:00:00,145.04833043144146,337.2452902532253 -2012-11-26 00:00:00,177.55295664393523,337.2629637135483 -2012-11-26 01:00:00,203.1820832111479,337.28696524960554 -2012-11-26 02:00:00,221.4592605239362,337.3170933984446 -2012-11-26 03:00:00,233.54120465096483,337.3578984432083 -2012-11-26 04:00:00,243.55323209543675,337.3844598766522 -2012-11-26 05:00:00,251.43308685592112,337.41856960638717 -2012-11-26 06:00:00,255.9399082959557,337.45902151753137 -2012-11-26 07:00:00,259.2492718031422,337.5032348000215 -2012-11-26 08:00:00,261.8226043856779,337.5513138554476 -2012-11-26 09:00:00,263.7855670697395,337.59837370461764 -2012-11-26 10:00:00,265.15298420409914,337.652061710992 -2012-11-26 11:00:00,265.7318812327609,337.7008772932627 -2012-11-26 12:00:00,265.72721660510234,337.75479998339483 -2012-11-26 13:00:00,266.1529581507885,337.8082720657944 -2012-11-26 14:00:00,267.11098798616393,337.86682259584603 -2012-11-26 15:00:00,268.41932468609525,337.93049154646394 -2012-11-26 16:00:00,269.82252479752145,338.0127294467773 -2012-11-26 17:00:00,271.06281386393516,338.0879340115735 -2012-11-26 18:00:00,273.03756600198597,338.1644508744949 -2012-11-26 19:00:00,275.01101655695237,338.2683852006709 -2012-11-26 20:00:00,277.3295098701537,338.3897110749381 -2012-11-26 21:00:00,279.85701839105957,338.50646936095035 -2012-11-26 22:00:00,282.8655973973677,338.6597120456311 -2012-11-26 23:00:00,286.4010481505939,338.8075435385556 -2012-11-27 00:00:00,290.60895803541797,338.91463808199444 -2012-11-27 01:00:00,295.74034208621333,339.00984634325897 -2012-11-27 02:00:00,303.6753663517084,339.08700789638186 -2012-11-27 03:00:00,316.99410162587066,339.15944392856255 -2012-11-27 04:00:00,343.7513632084604,339.21149087724217 -2012-11-27 05:00:00,388.72989034501757,339.27014360591295 -2012-11-27 06:00:00,420.8852367271089,339.2329512846546 -2012-11-27 07:00:00,440.52425223791533,339.1941047980963 -2012-11-27 08:00:00,450.24881488714266,339.14572885121913 -2012-11-27 09:00:00,454.5043675098276,339.0811122795709 -2012-11-27 10:00:00,457.3403833349569,339.0392268509089 -2012-11-27 11:00:00,460.1246408574741,339.0865460737544 -2012-11-27 12:00:00,463.7967407943032,339.1293639674005 -2012-11-27 13:00:00,467.64184577388284,339.1152970264169 -2012-11-27 14:00:00,470.75209201531794,339.1098597337564 -2012-11-27 15:00:00,473.46889010264044,339.09749590308843 -2012-11-27 16:00:00,476.8861233899457,339.04734420438604 -2012-11-27 17:00:00,482.2453399164111,339.0114769020809 -2012-11-27 18:00:00,487.53185036936435,339.0452748482715 -2012-11-27 19:00:00,491.17416675742226,339.0589944889436 -2012-11-27 20:00:00,493.8840277981197,339.0685162561878 -2012-11-27 21:00:00,495.79012222649175,339.0636813712581 -2012-11-27 22:00:00,497.47456537475944,339.0296343940696 -2012-11-27 23:00:00,498.9387501533553,339.02087059411116 -2012-11-28 00:00:00,499.7175542158384,338.72404606187496 -2012-11-28 01:00:00,500.084436919552,338.2552164658063 -2012-11-28 02:00:00,500.26513572499704,337.5070433663138 -2012-11-28 03:00:00,500.35246851866236,336.82980509135996 -2012-11-28 04:00:00,500.4157636951661,336.3051976772916 -2012-11-28 05:00:00,500.5130030354457,335.7945121959655 -2012-11-28 06:00:00,500.47630660608763,335.2254626453629 -2012-11-28 07:00:00,500.38412803742733,334.6039124940633 -2012-11-28 08:00:00,500.30964494726646,333.9748857178993 -2012-11-28 09:00:00,500.1822730629876,333.45469843129644 -2012-11-28 10:00:00,500.0201239090814,332.93887273878215 -2012-11-28 11:00:00,499.85062461309394,332.5782338152527 -2012-11-28 12:00:00,499.739462231078,331.9984206650772 -2012-11-28 13:00:00,499.761456392394,330.54617465161675 -2012-11-28 14:00:00,499.8003772752563,313.8219269142728 -2012-11-28 15:00:00,499.82816063107873,288.00150264388446 -2012-11-28 16:00:00,499.85562654184105,258.91041352717855 -2012-11-28 17:00:00,499.8473848862611,235.13317109772996 -2012-11-28 18:00:00,499.78568432094687,227.05283687023777 -2012-11-28 19:00:00,499.37212618421137,223.92640157710466 -2012-11-28 20:00:00,498.73170068702524,220.7743596956852 -2012-11-28 21:00:00,498.3167162879325,219.7538315595855 -2012-11-28 22:00:00,498.05610115358786,218.48760569285233 -2012-11-28 23:00:00,498.0270187407721,217.2248315086506 -2012-11-29 00:00:00,497.9743962119464,215.873493356929 -2012-11-29 01:00:00,497.9274040832361,215.05188283341988 -2012-11-29 02:00:00,497.8711100646879,214.55372843129868 -2012-11-29 03:00:00,497.8260294667847,214.2010612724458 -2012-11-29 04:00:00,497.7974974813245,213.9507051647566 -2012-11-29 05:00:00,497.79892535535794,213.73414963637816 -2012-11-29 06:00:00,497.73903584219653,213.62416329513002 -2012-11-29 07:00:00,497.5849137550411,213.52732599380613 -2012-11-29 08:00:00,497.38280395616755,213.42380780687182 -2012-11-29 09:00:00,497.10010743354354,213.27887900211545 -2012-11-29 10:00:00,496.7318810413318,213.0538217244414 -2012-11-29 11:00:00,496.1883062627707,212.76914427076605 -2012-11-29 12:00:00,495.1319912744023,212.7340707756362 -2012-11-29 13:00:00,494.20071257705274,212.5992464578264 -2012-11-29 14:00:00,493.45296352147824,211.34533379608345 -2012-11-29 15:00:00,492.68863274580127,201.07912627932643 -2012-11-29 16:00:00,491.9047832681456,176.73485351262408 -2012-11-29 17:00:00,490.9258252865475,162.45048488090058 -2012-11-29 18:00:00,490.04692842422554,155.69876017440953 -2012-11-29 19:00:00,489.14670138005005,156.5119139712386 -2012-11-29 20:00:00,488.38129835056804,157.81734882867906 -2012-11-29 21:00:00,487.7512594155299,158.58509954990797 -2012-11-29 22:00:00,487.1782086235882,159.46517632475667 -2012-11-29 23:00:00,486.6458925028649,160.12538225035465 -2012-11-30 00:00:00,485.62429852033677,160.46065403003965 -2012-11-30 01:00:00,484.57995339004174,160.61834054435462 -2012-11-30 02:00:00,483.5248259299282,160.8622790553152 -2012-11-30 03:00:00,482.6430956569305,161.22976190927633 -2012-11-30 04:00:00,481.88688140044457,161.64022230717228 -2012-11-30 05:00:00,481.2849642751663,162.210208357162 -2012-11-30 06:00:00,480.42397359746207,163.55032469871813 -2012-11-30 07:00:00,479.2494728285423,165.15335217567542 -2012-11-30 08:00:00,477.7617437659157,167.04449930373963 -2012-11-30 09:00:00,476.1060784610344,168.21417205921827 -2012-11-30 10:00:00,474.2010236660856,169.68668499658202 -2012-11-30 11:00:00,472.4886677812529,171.43720185144528 -2012-11-30 12:00:00,471.05393052829663,173.87920403264343 -2012-11-30 13:00:00,470.4069088988351,178.06141035998525 -2012-11-30 14:00:00,469.9524102832698,183.9308979917706 -2012-11-30 15:00:00,469.6356236283416,190.1512907156171 -2012-11-30 16:00:00,469.48948698409686,199.17043624483392 -2012-11-30 17:00:00,469.4630184442117,209.81190708904336 -2012-11-30 18:00:00,469.46231943526135,219.1981409574909 -2012-11-30 19:00:00,469.46881980323417,227.64415609964783 -2012-11-30 20:00:00,469.46791724564855,238.65634608096693 -2012-11-30 21:00:00,469.4415659960369,246.49805078610112 -2012-11-30 22:00:00,469.396546848183,255.0084081730794 -2012-11-30 23:00:00,469.3512553168633,261.6136384482074 -2012-12-01 00:00:00,469.18316190413697,265.827214412486 -2012-12-01 01:00:00,469.16434555192717,269.146453897928 -2012-12-01 02:00:00,469.2176344637426,270.9559406046526 -2012-12-01 03:00:00,469.2517107222196,271.729246027695 -2012-12-01 04:00:00,469.2748591206746,271.7400712766888 -2012-12-01 05:00:00,469.28103673199945,270.4527043623922 -2012-12-01 06:00:00,469.2691750693406,268.7133773950427 -2012-12-01 07:00:00,469.2650268909539,267.06819109526464 -2012-12-01 08:00:00,469.24787567205453,265.2346993993298 -2012-12-01 09:00:00,469.1957081090593,263.22173656904147 -2012-12-01 10:00:00,468.9408942350821,260.65046617545255 -2012-12-01 11:00:00,468.6725411707096,258.4428893649878 -2012-12-01 12:00:00,468.63070400963466,256.50507176957973 -2012-12-01 13:00:00,468.81371309986775,253.56404085420263 -2012-12-01 14:00:00,469.2250337530706,249.77574570873546 -2012-12-01 15:00:00,469.7302972394052,247.1967651604417 -2012-12-01 16:00:00,470.1938932429297,244.23569370849242 -2012-12-01 17:00:00,470.6576657567057,241.86876232791099 -2012-12-01 18:00:00,470.99172262422695,240.09802037263796 -2012-12-01 19:00:00,471.3502663140725,236.83629389212408 -2012-12-01 20:00:00,471.85651740661973,227.98320172018694 -2012-12-01 21:00:00,472.4622045283966,225.71078533066546 -2012-12-01 22:00:00,473.1547001109366,222.0935834148761 -2012-12-01 23:00:00,473.96086161353884,218.46408272515558 -2012-12-02 00:00:00,474.11341369954744,215.9733431476619 -2012-12-02 01:00:00,474.5033439058877,214.83856210748195 -2012-12-02 02:00:00,475.2254767461726,214.2645499006666 -2012-12-02 03:00:00,475.7680553414762,213.19904264456264 -2012-12-02 04:00:00,476.07170971118387,211.22465066728046 -2012-12-02 05:00:00,476.1110538998917,208.6745242429713 -2012-12-02 06:00:00,475.7299654363815,207.4181219358031 -2012-12-02 07:00:00,475.5244123467056,207.67500296803524 -2012-12-02 08:00:00,475.20646050864366,209.39472752485204 -2012-12-02 09:00:00,475.02933778337365,211.228998617135 -2012-12-02 10:00:00,474.7667084483863,213.5637421394449 -2012-12-02 11:00:00,474.40388354513703,215.81795891308127 -2012-12-02 12:00:00,474.2385372884706,217.47301142484162 -2012-12-02 13:00:00,474.30200406166114,219.1629653351203 -2012-12-02 14:00:00,474.18759611716143,221.26705863664904 -2012-12-02 15:00:00,473.3211358650728,223.71887321537153 -2012-12-02 16:00:00,470.86817624495484,229.38507324184 -2012-12-02 17:00:00,468.4840639626133,239.6023657574271 -2012-12-02 18:00:00,466.63160052259593,249.51568252119984 -2012-12-02 19:00:00,464.71006807196625,256.8427386921569 -2012-12-02 20:00:00,461.75890351846937,262.56207602505066 -2012-12-02 21:00:00,455.9790241422721,264.9659736112546 -2012-12-02 22:00:00,436.6781300262029,268.12256134973234 -2012-12-02 23:00:00,387.44359472005215,271.50655033199195 -2012-12-03 00:00:00,354.6540311212276,273.3404274742208 -2012-12-03 01:00:00,328.68550180856073,274.1324253815936 -2012-12-03 02:00:00,309.94046829925793,274.47763859993114 -2012-12-03 03:00:00,297.50917588825433,274.6521653873862 -2012-12-03 04:00:00,287.2050825361538,274.7981403782916 -2012-12-03 05:00:00,279.1492402646833,274.9272054708717 -2012-12-03 06:00:00,274.54653876334726,275.02345270953936 -2012-12-03 07:00:00,271.0781551239507,275.1194556671755 -2012-12-03 08:00:00,268.04233637015926,275.2563824662429 -2012-12-03 09:00:00,265.27008161794265,275.47142183769074 -2012-12-03 10:00:00,262.6783554519764,275.91793801804204 -2012-12-03 11:00:00,260.6454183134389,276.73028925011477 -2012-12-03 12:00:00,259.151109914117,277.2126792287846 -2012-12-03 13:00:00,257.6595057746246,278.044548746817 -2012-12-03 14:00:00,256.15231764718595,279.0058176132636 -2012-12-03 15:00:00,254.44750046194235,279.62604812852135 -2012-12-03 16:00:00,252.78282582079484,280.0327966849805 -2012-12-03 17:00:00,251.40001270198522,280.3080695545179 -2012-12-03 18:00:00,249.14502247015798,280.6115596374298 -2012-12-03 19:00:00,246.94696925220754,280.9257925008943 -2012-12-03 20:00:00,244.51556841360545,281.12483775028915 -2012-12-03 21:00:00,241.83568368414942,281.2425658162543 -2012-12-03 22:00:00,238.8264015524403,281.2569956601433 -2012-12-03 23:00:00,235.3684658119125,281.2705444863153 -2012-12-04 00:00:00,231.22788129073433,281.3044708360322 -2012-12-04 01:00:00,226.09214548818642,281.34796426332593 -2012-12-04 02:00:00,218.2221448991467,281.3987758027166 -2012-12-04 03:00:00,204.99179943165427,281.46352057092145 -2012-12-04 04:00:00,178.26722786971158,281.5484886082704 -2012-12-04 05:00:00,133.35335365550193,281.63345524975404 -2012-12-04 06:00:00,101.09994594229211,281.75323067125623 -2012-12-04 07:00:00,81.26153640486295,281.92453196374265 -2012-12-04 08:00:00,71.2653519522012,282.13709550678993 -2012-12-04 09:00:00,66.74170445642824,282.34893580086094 -2012-12-04 10:00:00,63.723841690728996,282.5290448719964 -2012-12-04 11:00:00,60.83532535822672,282.70714348651853 -2012-12-04 12:00:00,57.3463791276096,282.8539898851689 -2012-12-04 13:00:00,54.372682855226294,283.0448189243223 -2012-12-04 14:00:00,52.96859030024377,283.29063276073884 -2012-12-04 15:00:00,53.43792377927924,283.5403872216466 -2012-12-04 16:00:00,54.87100453072089,283.9319336228155 -2012-12-04 17:00:00,55.2296219229657,284.3623941269662 -2012-12-04 18:00:00,52.50297502134419,284.69459185384846 -2012-12-04 19:00:00,50.17367005974633,285.01410590295995 -2012-12-04 20:00:00,48.56154427758359,285.3302209449284 -2012-12-04 21:00:00,47.8658652360374,285.57817278861853 -2012-12-04 22:00:00,47.40915915493443,285.81018202264175 -2012-12-04 23:00:00,47.28570272166789,286.0320697424983 -2012-12-05 00:00:00,47.61359616462958,286.424426951735 -2012-12-05 01:00:00,48.782556520110646,286.9380739500183 -2012-12-05 02:00:00,50.08415317199334,287.6077179858964 -2012-12-05 03:00:00,50.669096331406145,288.2599551560797 -2012-12-05 04:00:00,50.950671716752005,288.9688746066715 -2012-12-05 05:00:00,50.99680667009118,289.60053277874283 -2012-12-05 06:00:00,52.24950294589403,290.11206099751433 -2012-12-05 07:00:00,54.38339112189032,290.5929484000552 -2012-12-05 08:00:00,56.78986817967368,291.2323213137854 -2012-12-05 09:00:00,59.460833722152266,291.6925207758841 -2012-12-05 10:00:00,62.823083317264334,292.1295167444226 -2012-12-05 11:00:00,66.80742998453252,292.5875011615027 -2012-12-05 12:00:00,73.18627397638025,293.2559883650032 -2012-12-05 13:00:00,79.98548173813178,294.2724219955669 -2012-12-05 14:00:00,85.67728563458003,295.51125127563273 -2012-12-05 15:00:00,91.2229877586772,296.541130265615 -2012-12-05 16:00:00,96.79120118588996,297.42044212896366 -2012-12-05 17:00:00,102.78338094463055,298.43913614728865 -2012-12-05 18:00:00,112.91535344406134,301.17363492648747 -2012-12-05 19:00:00,153.4070364516057,306.1952602997217 -2012-12-05 20:00:00,229.91269968126485,313.30822954424093 -2012-12-05 21:00:00,287.16056209085974,318.3589749420911 -2012-12-05 22:00:00,346.7787306207968,324.44934895356306 -2012-12-05 23:00:00,393.1887237500826,331.56157892166254 -2012-12-06 00:00:00,415.3007617803966,335.0320444890074 -2012-12-06 01:00:00,429.45980166473055,336.42919872110167 -2012-12-06 02:00:00,437.3735905346389,337.4197819107731 -2012-12-06 03:00:00,442.5251904337256,338.39832591607603 -2012-12-06 04:00:00,448.47576034396013,339.3105961301972 -2012-12-06 05:00:00,458.7035664923699,339.902573324691 -2012-12-06 06:00:00,464.4499541037551,340.25496464695794 -2012-12-06 07:00:00,466.61453816072594,340.56025498555783 -2012-12-06 08:00:00,469.06101984005755,340.8553012189969 -2012-12-06 09:00:00,471.56104298316353,341.14894635991794 -2012-12-06 10:00:00,474.3936942560579,341.431042948225 -2012-12-06 11:00:00,477.37897414606715,341.70651989898295 -2012-12-06 12:00:00,481.13676749295536,341.9805703412418 -2012-12-06 13:00:00,485.62358165774316,342.06569964943986 -2012-12-06 14:00:00,490.12073951361975,342.15983296892284 -2012-12-06 15:00:00,494.1055307176959,342.4284205344256 -2012-12-06 16:00:00,497.5117541450811,342.99559348808134 -2012-12-06 17:00:00,500.7765358505086,343.332879280816 -2012-12-06 18:00:00,503.963381542468,343.7643932487266 -2012-12-06 19:00:00,507.108962263051,344.124003362561 -2012-12-06 20:00:00,510.7052864195149,345.21694237863284 -2012-12-06 21:00:00,513.5229337443245,344.4904574816986 -2012-12-06 22:00:00,515.5578455786991,343.8611987054562 -2012-12-06 23:00:00,516.956629337005,343.31835057314345 -2012-12-07 00:00:00,518.8357447166102,343.08201584799485 -2012-12-07 01:00:00,520.5760036441786,343.02729308856016 -2012-12-07 02:00:00,521.973167267103,342.9665312734975 -2012-12-07 03:00:00,523.0630894569904,342.8038267268907 -2012-12-07 04:00:00,523.8539247029397,342.61712279640636 -2012-12-07 05:00:00,524.8760247938302,342.3009944604108 -2012-12-07 06:00:00,526.9134498319902,341.13647539912535 -2012-12-07 07:00:00,531.876357554239,339.7632959102252 -2012-12-07 08:00:00,539.8054105825641,338.06810901453827 -2012-12-07 09:00:00,546.0457191506908,336.98193651780747 -2012-12-07 10:00:00,550.3281469376757,335.5000111489169 -2012-12-07 11:00:00,553.2731751234481,333.8355487876755 -2012-12-07 12:00:00,556.8863434535269,331.52298381107545 -2012-12-07 13:00:00,560.7076331972663,327.6207869098167 -2012-12-07 14:00:00,564.4280282476655,322.15841159186414 -2012-12-07 15:00:00,567.756702578503,316.3358549666534 -2012-12-07 16:00:00,571.2339731639398,307.6800273496201 -2012-12-07 17:00:00,575.486666515811,297.3306018857069 -2012-12-07 18:00:00,577.9000133111771,287.842212688108 -2012-12-07 19:00:00,579.766415437693,279.5168631177224 -2012-12-07 20:00:00,581.8938537571787,268.5672838494825 -2012-12-07 21:00:00,584.8549687357441,260.7988202293591 -2012-12-07 22:00:00,588.2257106985955,252.34641144103537 -2012-12-07 23:00:00,591.7293549957765,245.90994417130287 -2012-12-08 00:00:00,594.111908637535,241.70604138695606 -2012-12-08 01:00:00,595.2571928338525,238.35690700129624 -2012-12-08 02:00:00,596.1531698515454,236.37295802609762 -2012-12-08 03:00:00,596.9351220609957,235.4376236018614 -2012-12-08 04:00:00,597.5722696629854,234.82570677515702 -2012-12-08 05:00:00,597.9970873642271,234.44741769092622 -2012-12-08 06:00:00,598.5976503054707,234.3310086125042 -2012-12-08 07:00:00,599.5910532831354,234.20876833041416 -2012-12-08 08:00:00,601.0760346013592,233.92931072271108 -2012-12-08 09:00:00,602.7928628295807,233.7472646669401 -2012-12-08 10:00:00,604.9016726998165,233.1207637111828 -2012-12-08 11:00:00,607.1906160447153,231.757522483184 -2012-12-08 12:00:00,610.7175245725438,230.99641428085604 -2012-12-08 13:00:00,614.1335734505569,229.69517099156775 -2012-12-08 14:00:00,617.1345510432043,227.6622358920669 -2012-12-08 15:00:00,619.3191097001404,226.3625085763305 -2012-12-08 16:00:00,622.0933188502357,223.37616031867756 -2012-12-08 17:00:00,625.9859271874508,220.93579290242548 -2012-12-08 18:00:00,630.581581378808,220.96148111574223 -2012-12-08 19:00:00,637.241913030656,221.16670834659362 -2012-12-08 20:00:00,648.1341186823792,220.7509286787857 -2012-12-08 21:00:00,660.5781450740498,220.3725572516705 -2012-12-08 22:00:00,680.4581653303986,219.5692516414816 -2012-12-08 23:00:00,700.0008541170531,218.80066771094573 -2012-12-09 00:00:00,714.2724922217071,217.98802993439838 -2012-12-09 01:00:00,721.4686209350904,217.1596458509985 -2012-12-09 02:00:00,723.2466415513945,216.41063318137202 -2012-12-09 03:00:00,723.747508761678,216.07460066811882 -2012-12-09 04:00:00,724.2014032154709,215.77269633863577 -2012-12-09 05:00:00,724.5338175983009,215.58881784638206 -2012-12-09 06:00:00,725.1252060015387,215.36191624045935 -2012-12-09 07:00:00,726.491558308253,214.63529503193314 -2012-12-09 08:00:00,728.7778786588287,212.73227900293804 -2012-12-09 09:00:00,731.1253265049457,210.79412108046216 -2012-12-09 10:00:00,733.9247325143702,208.3259525202981 -2012-12-09 11:00:00,736.9635839467961,205.90891468647033 -2012-12-09 12:00:00,743.4927474757312,204.05326181422438 -2012-12-09 13:00:00,750.2173787253547,202.11427673400283 -2012-12-09 14:00:00,755.9889506877755,199.7950994298127 -2012-12-09 15:00:00,760.5486023924257,197.36732333995252 -2012-12-09 16:00:00,764.6782074625083,191.83112587423423 -2012-12-09 17:00:00,768.3530870028225,181.9014429162656 -2012-12-09 18:00:00,772.1171109446557,172.69058567746418 -2012-12-09 19:00:00,775.8553484270639,166.66862944513193 -2012-12-09 20:00:00,780.3911062898865,162.83893486744128 -2012-12-09 21:00:00,785.8895008094958,161.8192485192548 -2012-12-09 22:00:00,794.1189231088314,159.51698755161698 -2012-12-09 23:00:00,804.8261317167984,156.73374360968268 -2012-12-10 00:00:00,813.0658100258048,155.5493416774274 -2012-12-10 01:00:00,820.0541769784692,155.3047796304681 -2012-12-10 02:00:00,834.0161272882066,155.52585959700988 -2012-12-10 03:00:00,859.4410588911444,155.7638679075035 -2012-12-10 04:00:00,897.9516682790533,156.05146478283743 -2012-12-10 05:00:00,931.9542103730959,156.42941305324305 -2012-12-10 06:00:00,946.5083655763735,157.30350573600901 -2012-12-10 07:00:00,954.4875135690779,158.00313003519415 -2012-12-10 08:00:00,965.5637057363423,158.45944626246816 -2012-12-10 09:00:00,978.5346601082435,158.78109773816033 -2012-12-10 10:00:00,993.074111676469,158.93294010035137 -2012-12-10 11:00:00,1005.1126642532927,158.80795582244912 -2012-12-10 12:00:00,1014.020840465756,161.52072150020462 -2012-12-10 13:00:00,1020.907681228433,167.22713227834856 -2012-12-10 14:00:00,1027.2922114463734,175.77935723844334 -2012-12-10 15:00:00,1032.7396888146313,184.8125018867584 -2012-12-10 16:00:00,1037.6048849684425,206.9749375870393 -2012-12-10 17:00:00,1042.750124639648,250.05303930618908 -2012-12-10 18:00:00,1048.6943390704319,290.6789866069439 -2012-12-10 19:00:00,1056.1618624202877,322.6006339074 -2012-12-10 20:00:00,1067.042918794256,343.92846782592846 -2012-12-10 21:00:00,1083.574167026161,361.1692780066989 -2012-12-10 22:00:00,1112.9602348079188,376.2083732291187 -2012-12-10 23:00:00,1156.0186811831907,387.96308435767656 -2012-12-11 00:00:00,1184.820966968378,394.84879573854585 -2012-12-11 01:00:00,1208.9846095250462,398.2849291685932 -2012-12-11 02:00:00,1234.0830998924348,400.6308639620114 -2012-12-11 03:00:00,1256.6239866080252,402.4411437270082 -2012-12-11 04:00:00,1275.7745087200547,404.0328554926793 -2012-12-11 05:00:00,1289.3417453836332,405.24356717326094 -2012-12-11 06:00:00,1297.4661954962608,406.5178942400335 -2012-12-11 07:00:00,1303.793530211223,407.93056082675656 -2012-12-11 08:00:00,1308.6709438662153,408.9308250519211 -2012-12-11 09:00:00,1313.4060702660527,409.49383659093155 -2012-12-11 10:00:00,1319.5205767275447,409.9529822263357 -2012-12-11 11:00:00,1326.5015229903331,410.440095357153 -2012-12-11 12:00:00,1339.2455123558505,410.86103994769024 -2012-12-11 13:00:00,1349.9379827013406,411.22034394861254 -2012-12-11 14:00:00,1358.8033180409395,411.50884439935976 -2012-12-11 15:00:00,1365.9770508453407,411.77704590930585 -2012-12-11 16:00:00,1371.8408903026957,411.9146847473887 -2012-12-11 17:00:00,1377.5244696018071,412.0361806716441 -2012-12-11 18:00:00,1387.5888699682544,412.2395813587641 -2012-12-11 19:00:00,1405.3797916634742,412.3823215988964 -2012-12-11 20:00:00,1426.549379999732,412.54268336683305 -2012-12-11 21:00:00,1450.2974484238891,412.79837309774 -2012-12-11 22:00:00,1489.7502888745205,413.1315082607346 -2012-12-11 23:00:00,1555.7812083595572,413.50717726747644 -2012-12-12 00:00:00,1605.9300611346382,413.70847543543476 -2012-12-12 01:00:00,1664.032624232514,413.76844882124794 -2012-12-12 02:00:00,1757.234736548765,413.66543809748515 -2012-12-12 03:00:00,1874.1707016673265,413.5889261168009 -2012-12-12 04:00:00,2011.133882840215,413.47145193651806 -2012-12-12 05:00:00,2151.2885515365283,413.4504910917988 -2012-12-12 06:00:00,2232.1615351947476,413.5603779808561 -2012-12-12 07:00:00,2276.0859645192336,413.71392989858623 -2012-12-12 08:00:00,2302.181860851796,413.72576945677145 -2012-12-12 09:00:00,2315.8996194540505,413.9197323056294 -2012-12-12 10:00:00,2323.2895927648574,414.14777459109837 -2012-12-12 11:00:00,2328.384182477488,414.3676557581065 -2012-12-12 12:00:00,2328.9923554660863,414.51870549670645 -2012-12-12 13:00:00,2327.282375471269,414.38793557424543 -2012-12-12 14:00:00,2324.172144500412,414.11321041060137 -2012-12-12 15:00:00,2320.4493938588494,414.1102729199912 -2012-12-12 16:00:00,2316.178939289533,414.2030862653593 -2012-12-12 17:00:00,2311.5203799780284,414.1386349353201 -2012-12-12 18:00:00,2302.5522992678134,412.2001704383379 -2012-12-12 19:00:00,2262.8964533253716,407.9215022134587 -2012-12-12 20:00:00,2186.847722445876,401.5628432573167 -2012-12-12 21:00:00,2130.137632114737,397.31774688127234 -2012-12-12 22:00:00,2071.400892810526,392.16186828095863 -2012-12-12 23:00:00,2026.143735390432,386.16448354722297 -2012-12-13 00:00:00,2004.8637281756896,383.5905111747551 -2012-12-13 01:00:00,1991.2923269211237,383.06483309746824 -2012-12-13 02:00:00,1984.2133972989427,383.00160400969315 -2012-12-13 03:00:00,1980.1237553783467,382.93647517963063 -2012-12-13 04:00:00,1975.267881744947,383.0155306774348 -2012-12-13 05:00:00,1965.6200760977736,383.45331717336 -2012-12-13 06:00:00,1960.0750370297485,384.5345868586677 -2012-12-13 07:00:00,1958.1073710024903,385.8975804134199 -2012-12-13 08:00:00,1955.9421962275799,387.5395415696338 -2012-12-13 09:00:00,1953.8240071527564,389.15251958056655 -2012-12-13 10:00:00,1951.6223877397322,391.6339353688166 -2012-12-13 11:00:00,1950.1221846213168,395.40145561410844 -2012-12-13 12:00:00,1948.395176905955,401.29237578152583 -2012-12-13 13:00:00,1946.2245413253643,409.08185595581455 -2012-12-13 14:00:00,1944.1037457064062,419.0436808113216 -2012-12-13 15:00:00,1942.262042864125,432.861042339312 -2012-12-13 16:00:00,1941.0387071094633,451.9935639055517 -2012-12-13 17:00:00,1939.9478144354864,476.27592845605693 -2012-12-13 18:00:00,1937.8802093032657,495.2610164490269 -2012-12-13 19:00:00,1935.7418816286022,506.62713262148935 -2012-12-13 20:00:00,1933.3104653647722,513.2891278291369 -2012-12-13 21:00:00,1931.71656966653,518.8897742235941 -2012-12-13 22:00:00,1931.2467243323763,522.798009072318 -2012-12-13 23:00:00,1931.8359271085217,525.3801787042918 -2012-12-14 00:00:00,1931.520491627721,526.8011324592916 -2012-12-14 01:00:00,1930.9164673579564,528.1998054913007 -2012-12-14 02:00:00,1930.2625361566124,529.8077866756663 -2012-12-14 03:00:00,1929.936446837605,531.7094411027142 -2012-12-14 04:00:00,1929.912951829512,534.3660265440345 -2012-12-14 05:00:00,1929.9783385781689,537.2738886534561 -2012-12-14 06:00:00,1929.244271002155,539.5840933155033 -2012-12-14 07:00:00,1925.8880756921087,542.3102013219002 -2012-12-14 08:00:00,1919.9213976042806,545.4044693516214 -2012-12-14 09:00:00,1915.4102611834228,548.1335736281027 -2012-12-14 10:00:00,1913.2591217818378,551.6777445346543 -2012-12-14 11:00:00,1912.1461313089414,556.0887813038893 -2012-12-14 12:00:00,1909.811332073447,561.4868087785511 -2012-12-14 13:00:00,1906.8026370171976,567.4108564718917 -2012-12-14 14:00:00,1903.6492792971383,574.2790339145758 -2012-12-14 15:00:00,1900.58298909817,580.7601476745114 -2012-12-14 16:00:00,1897.3127880070385,587.8322787438956 -2012-12-14 17:00:00,1893.2695285492068,596.3025618720951 -2012-12-14 18:00:00,1891.1313941376375,603.2986677348428 -2012-12-14 19:00:00,1889.6320818968222,609.029464175759 -2012-12-14 20:00:00,1887.9989416108026,613.7796530234302 -2012-12-14 21:00:00,1885.7722517200298,616.8981870521549 -2012-12-14 22:00:00,1883.6476347371326,620.625059000965 -2012-12-14 23:00:00,1882.7095856605747,622.9162773224713 -2012-12-15 00:00:00,1884.3360038090664,624.2980391161494 -2012-12-15 01:00:00,1889.2779979670408,625.3083830392274 -2012-12-15 02:00:00,1897.311908952769,626.2138539900503 -2012-12-15 03:00:00,1908.7849868479775,627.0382428585301 -2012-12-15 04:00:00,1925.4817734379053,627.9987600282117 -2012-12-15 05:00:00,1942.771135830716,629.1160775049034 -2012-12-15 06:00:00,1948.0708905943145,630.4354712612769 -2012-12-15 07:00:00,1949.1444686529537,631.8291745829637 -2012-12-15 08:00:00,1949.509281030415,633.5336157849619 -2012-12-15 09:00:00,1949.2524581180778,635.596534053318 -2012-12-15 10:00:00,1949.1321298335938,638.3262403561586 -2012-12-15 11:00:00,1949.1613174530166,641.7827766439813 -2012-12-15 12:00:00,1949.523354934366,645.3356631797693 -2012-12-15 13:00:00,1949.3844332658082,650.4617239853706 -2012-12-15 14:00:00,1949.418952100188,659.1723012639645 -2012-12-15 15:00:00,1950.6009433146892,667.0039422620505 -2012-12-15 16:00:00,1950.5660835036992,674.4860960561272 -2012-12-15 17:00:00,1948.6965018747428,680.0620202366691 -2012-12-15 18:00:00,1946.6267215948626,682.8072304078954 -2012-12-15 19:00:00,1941.6877429759859,684.5472247248626 -2012-12-15 20:00:00,1932.2305941029927,686.0336804024728 -2012-12-15 21:00:00,1920.9310388708418,687.3177642503401 -2012-12-15 22:00:00,1902.0321735126404,688.4384608761127 -2012-12-15 23:00:00,1883.4351546199307,689.408258167798 -2012-12-16 00:00:00,1869.9282479634387,690.2987673387161 -2012-12-16 01:00:00,1863.2868209761778,691.1797660377069 -2012-12-16 02:00:00,1861.9057187561677,692.0634092882186 -2012-12-16 03:00:00,1862.1710771378805,692.9842007429675 -2012-12-16 04:00:00,1862.200794927379,693.9555117636173 -2012-12-16 05:00:00,1862.3551645600814,694.9839178046951 -2012-12-16 06:00:00,1862.396356881688,696.1141263273056 -2012-12-16 07:00:00,1862.276073914343,697.3435453519041 -2012-12-16 08:00:00,1862.8589961685066,698.6664538781705 -2012-12-16 09:00:00,1864.623783659839,700.028686560324 -2012-12-16 10:00:00,1867.4730436914454,701.3898082495896 -2012-12-16 11:00:00,1871.4641952492934,702.8173892093929 -2012-12-16 12:00:00,1877.1820596623772,704.8483710563937 -2012-12-16 13:00:00,1879.5157509383328,706.9321412971933 -2012-12-16 14:00:00,1880.349731469518,708.8800185037713 -2012-12-16 15:00:00,1881.2304376777283,710.5340731810709 -2012-12-16 16:00:00,1881.7807050205738,711.9599993848309 -2012-12-16 17:00:00,1882.112039007733,713.1154744964693 -2012-12-16 18:00:00,1881.6693951107727,713.6290606265502 -2012-12-16 19:00:00,1881.0597966150535,713.6316558330501 -2012-12-16 20:00:00,1880.1211604215557,713.0556412050803 -2012-12-16 21:00:00,1877.6677592993487,712.8702171192484 -2012-12-16 22:00:00,1872.231557710354,713.1606699809536 -2012-12-16 23:00:00,1863.7665562672698,713.673507673378 -2012-12-17 00:00:00,1857.024274185046,714.0127981855824 -2012-12-17 01:00:00,1851.0701864170042,714.4530105645226 -2012-12-17 02:00:00,1837.8293995389931,714.8698708221315 -2012-12-17 03:00:00,1813.0281486168649,715.4272152899064 -2012-12-17 04:00:00,1775.2367617177565,715.9702237208176 -2012-12-17 05:00:00,1742.0993642539167,716.4389545300144 -2012-12-17 06:00:00,1729.0351435791692,716.4371527538818 -2012-12-17 07:00:00,1723.3835480209966,716.599851469905 -2012-12-17 08:00:00,1715.5743991540032,716.9575704333902 -2012-12-17 09:00:00,1706.5097877698693,717.3665602581589 -2012-12-17 10:00:00,1697.273445314605,717.7019725952148 -2012-12-17 11:00:00,1692.234216127053,717.9505253121188 -2012-12-17 12:00:00,1695.6318445351665,715.7263351738528 -2012-12-17 13:00:00,1700.513488159316,710.2655021653094 -2012-12-17 14:00:00,1704.475293888675,701.9064790109913 -2012-12-17 15:00:00,1707.2261121030253,693.287052960237 -2012-12-17 16:00:00,1710.3448169148564,671.668922951089 -2012-12-17 17:00:00,1711.5236888029165,629.2305008657007 -2012-12-17 18:00:00,1711.9990877837529,589.3560697273106 -2012-12-17 19:00:00,1710.9641431916612,558.1642488656101 -2012-12-17 20:00:00,1706.587281506814,537.597963493081 -2012-12-17 21:00:00,1697.4949021785553,521.1565019016663 -2012-12-17 22:00:00,1678.4862176708725,506.9108789980215 -2012-12-17 23:00:00,1645.7388068630719,495.91031294703527 -2012-12-18 00:00:00,1624.5041893773891,489.30798328145147 -2012-12-18 01:00:00,1607.3785943851178,486.165205379524 -2012-12-18 02:00:00,1587.7191393066341,484.11731412779073 -2012-12-18 03:00:00,1568.8609807978123,482.5974389020493 -2012-12-18 04:00:00,1553.4897025057207,481.2970451665564 -2012-12-18 05:00:00,1543.5191974731044,480.37642445723645 -2012-12-18 06:00:00,1540.2452725768815,479.3631690494113 -2012-12-18 07:00:00,1541.576596297145,478.15310684929875 -2012-12-18 08:00:00,1545.7889713549564,477.3142317228851 -2012-12-18 09:00:00,1550.342316268975,476.92966766132156 -2012-12-18 10:00:00,1555.5452453954958,476.66493014160596 -2012-12-18 11:00:00,1561.7534651451354,476.3810233334747 -2012-12-18 12:00:00,1563.988956895284,476.2241378562078 -2012-12-18 13:00:00,1565.1122102812255,476.1090349168442 -2012-12-18 14:00:00,1565.150684496029,476.025687873273 -2012-12-18 15:00:00,1564.5277538331204,475.9302223417871 -2012-12-18 16:00:00,1564.5823611973221,475.74680849862665 -2012-12-18 17:00:00,1564.4475302444278,475.5404767752823 -2012-12-18 18:00:00,1564.187778068354,475.34900479274444 -2012-12-18 19:00:00,1564.7955998229152,475.2252086980164 -2012-12-18 20:00:00,1575.282615789947,475.08579308917825 -2012-12-18 21:00:00,1607.8029532769722,474.9127628159777 -2012-12-18 22:00:00,1651.6896936284807,474.69396558992014 -2012-12-18 23:00:00,1676.085648224558,474.43546029537504 -2012-12-19 00:00:00,1683.0547079690632,474.2948914813678 -2012-12-19 01:00:00,1673.1349452332568,474.16232101891296 -2012-12-19 02:00:00,1634.3305523604995,474.0370803648587 -2012-12-19 03:00:00,1575.1932980932943,473.8801497427122 -2012-12-19 04:00:00,1502.1995211198687,473.72548535749684 -2012-12-19 05:00:00,1417.9925481945263,473.54680710787744 -2012-12-19 06:00:00,1357.3512342875604,473.4257589759243 -2012-12-19 07:00:00,1320.430761528785,473.26895964515796 -2012-12-19 08:00:00,1297.7074002101508,473.0649340233972 -2012-12-19 09:00:00,1286.241134432045,472.81979842198933 -2012-12-19 10:00:00,1279.711584270088,472.56092561430887 -2012-12-19 11:00:00,1275.5214768810147,472.3179212161298 -2012-12-19 12:00:00,1277.4934194349246,472.2097679944198 -2012-12-19 13:00:00,1279.7716415260588,472.69974906419 -2012-12-19 14:00:00,1282.2154063147668,473.8031968798626 -2012-12-19 15:00:00,1284.335313656322,473.74514115090716 -2012-12-19 16:00:00,1286.3752420831397,474.95474839799743 -2012-12-19 17:00:00,1287.9495751292084,477.62020444359774 -2012-12-19 18:00:00,1289.4431879001409,480.4323614929834 -2012-12-19 19:00:00,1290.976884727654,482.9704995168037 -2012-12-19 20:00:00,1293.2044354889347,485.92239810479003 -2012-12-19 21:00:00,1295.7839967775506,486.2793861686683 -2012-12-19 22:00:00,1298.4606150585626,486.730453442662 -2012-12-19 23:00:00,1301.7658502373617,486.3520726937192 -2012-12-20 00:00:00,1305.9098578659134,485.9350115400239 -2012-12-20 01:00:00,1312.0815224648888,485.4988375173751 -2012-12-20 02:00:00,1319.2179566357452,484.98411580794755 -2012-12-20 03:00:00,1325.6583213292836,484.4524684132201 -2012-12-20 04:00:00,1331.5212449011462,483.7988429367176 -2012-12-20 05:00:00,1336.7181583420581,483.11457099505475 -2012-12-20 06:00:00,1340.1678254309836,482.0392178837711 -2012-12-20 07:00:00,1342.8379601793995,480.8767498825474 -2012-12-20 08:00:00,1345.9451200378521,479.92904209091836 -2012-12-20 09:00:00,1350.1397475943218,479.5476461086127 -2012-12-20 10:00:00,1355.788643672029,478.99685334194345 -2012-12-20 11:00:00,1361.144209043201,477.7664741335039 -2012-12-20 12:00:00,1365.1984037805591,474.95023329401783 -2012-12-20 13:00:00,1367.956853062025,470.4096376240374 -2012-12-20 14:00:00,1370.6608655901107,463.6580942014991 -2012-12-20 15:00:00,1373.5541192887545,452.853990713845 -2012-12-20 16:00:00,1378.510450442792,436.693378876233 -2012-12-20 17:00:00,1386.818177567919,415.54025883462975 -2012-12-20 18:00:00,1397.5258735135155,396.97547094115987 -2012-12-20 19:00:00,1407.2280028745135,385.4913464456992 -2012-12-20 20:00:00,1417.1316159082194,376.7609374618892 -2012-12-20 21:00:00,1428.1574550441917,370.8693376333365 -2012-12-20 22:00:00,1439.0843248555375,366.4434183313799 -2012-12-20 23:00:00,1448.934579721157,363.6739475744866 -2012-12-21 00:00:00,1454.7732176271973,362.25936153051833 -2012-12-21 01:00:00,1460.228228964514,360.89218841321286 -2012-12-21 02:00:00,1466.0778961774495,359.32911816895466 -2012-12-21 03:00:00,1472.087836289687,357.48188126731316 -2012-12-21 04:00:00,1478.524155653617,354.8759414700139 -2012-12-21 05:00:00,1483.9884566763778,352.0262302754698 -2012-12-21 06:00:00,1487.5860183021757,349.7645857592128 -2012-12-21 07:00:00,1490.6248722385023,347.08441373541325 -2012-12-21 08:00:00,1492.9356300688548,344.03958610273594 -2012-12-21 09:00:00,1494.9408270967426,341.36647016221883 -2012-12-21 10:00:00,1496.4894798388495,337.88967787462997 -2012-12-21 11:00:00,1498.4296064348832,333.5315837311669 -2012-12-21 12:00:00,1500.9350542861719,328.1424375292409 -2012-12-21 13:00:00,1504.0210291381268,322.16781298687664 -2012-12-21 14:00:00,1506.6870528422749,315.20237051023514 -2012-12-21 15:00:00,1509.4824797151514,308.58988569096755 -2012-12-21 16:00:00,1512.7531071329229,301.40869511090705 -2012-12-21 17:00:00,1516.5206272812966,292.89827990002215 -2012-12-21 18:00:00,1519.3864577082795,285.9603025087175 -2012-12-21 19:00:00,1521.688202399822,280.3530126627699 -2012-12-21 20:00:00,1523.6246781838117,275.71712504386153 -2012-12-21 21:00:00,1525.6232023922992,272.8183103459684 -2012-12-21 22:00:00,1527.2328266053307,269.3228866387801 -2012-12-21 23:00:00,1527.5477937095334,267.18678181311117 -2012-12-22 00:00:00,1526.2538555386107,266.24407681091265 -2012-12-22 01:00:00,1523.6768160596375,265.51223186085923 -2012-12-22 02:00:00,1520.0921966887827,264.84177572916565 -2012-12-22 03:00:00,1514.1138948818057,264.2751244977068 -2012-12-22 04:00:00,1503.9810831538805,263.56094279305853 -2012-12-22 05:00:00,1493.2515358724083,262.69845819325144 -2012-12-22 06:00:00,1490.4614800872787,261.5954304485284 -2012-12-22 07:00:00,1490.4318721020838,260.42648076033095 -2012-12-22 08:00:00,1490.7145055394415,258.87776635031025 -2012-12-22 09:00:00,1491.4101458423004,256.89080049602074 -2012-12-22 10:00:00,1491.7791750798197,254.19563253753108 -2012-12-22 11:00:00,1492.0831639929681,250.67081940728306 -2012-12-22 12:00:00,1491.2120243213622,246.66285052436825 -2012-12-22 13:00:00,1490.90684382771,240.95988569025232 -2012-12-22 14:00:00,1490.5427515092913,231.94657392042575 -2012-12-22 15:00:00,1489.5598827682516,224.22288134416254 -2012-12-22 16:00:00,1489.1586595490078,216.8787534647636 -2012-12-22 17:00:00,1489.4997339057195,211.53423101554654 -2012-12-22 18:00:00,1489.3820690463167,208.50424222303258 -2012-12-22 19:00:00,1490.0492026253369,206.69302079097687 -2012-12-22 20:00:00,1491.0351142265035,205.37892902135366 -2012-12-22 21:00:00,1492.6515753096123,204.40314647889497 -2012-12-22 22:00:00,1494.9422845802164,203.53364526989517 -2012-12-22 23:00:00,1498.5205588888987,202.69304899031212 -2012-12-23 00:00:00,1504.540284632516,202.07244895097838 -2012-12-23 01:00:00,1515.9153527784401,201.37339935103762 -2012-12-23 02:00:00,1538.6717698266332,200.6568993875881 -2012-12-23 03:00:00,1580.917906074943,199.87913024855897 -2012-12-23 04:00:00,1639.0477036624832,199.1070858134436 -2012-12-23 05:00:00,1690.2081782889713,198.26821262820405 -2012-12-23 06:00:00,1710.2839891315,197.32148340309823 -2012-12-23 07:00:00,1717.010310687492,196.2507539709043 -2012-12-23 08:00:00,1717.962825371908,195.08210002087205 -2012-12-23 09:00:00,1716.713011786979,193.86958216160488 -2012-12-23 10:00:00,1714.0864786432799,192.6423002214396 -2012-12-23 11:00:00,1710.7023222308815,191.34597751118193 -2012-12-23 12:00:00,1704.6067785193968,189.43532088311073 -2012-12-23 13:00:00,1700.2258688160496,187.41912293158066 -2012-12-23 14:00:00,1696.845719440893,185.48384339566687 -2012-12-23 15:00:00,1695.0284743075936,183.7821386367133 -2012-12-23 16:00:00,1693.5432440400248,182.31515775036723 -2012-12-23 17:00:00,1692.312037433628,181.17587669432316 -2012-12-23 18:00:00,1691.6336460331006,180.6701099191066 -2012-12-23 19:00:00,1691.235464858181,179.99766914884296 -2012-12-23 20:00:00,1689.9235960329938,179.24645007311085 -2012-12-23 21:00:00,1688.8150254333632,178.599424365291 -2012-12-23 22:00:00,1687.895550993988,178.06732203553352 -2012-12-23 23:00:00,1687.7130129302739,177.5658606782948 -2012-12-24 00:00:00,1688.2743963641237,177.24968078656036 -2012-12-24 01:00:00,1688.7861939878783,176.9979525479905 -2012-12-24 02:00:00,1689.251932770436,176.88199909208828 -2012-12-24 03:00:00,1689.644151517423,176.99996397473222 -2012-12-24 04:00:00,1689.899840388953,178.15230914923774 -2012-12-24 05:00:00,1689.9532528905556,179.74053800942295 -2012-12-24 06:00:00,1689.394307055851,181.3434039169125 -2012-12-24 07:00:00,1688.3258962001894,183.24791651662204 -2012-12-24 08:00:00,1686.7598957307832,184.84304303045 -2012-12-24 09:00:00,1684.83997325849,185.25907193960603 -2012-12-24 10:00:00,1682.3550882665975,187.23175809181728 -2012-12-24 11:00:00,1679.4223136126357,190.0144006950203 -2012-12-24 12:00:00,1673.3078817221108,192.6807936470396 -2012-12-24 13:00:00,1667.5280093810645,195.2864206225976 -2012-12-24 14:00:00,1662.547359335293,199.3001246564527 -2012-12-24 15:00:00,1658.4116213489797,202.45914041310678 -2012-12-24 16:00:00,1653.1945905766524,215.46270198123605 -2012-12-24 17:00:00,1648.7218310058088,231.71357818553892 -2012-12-24 18:00:00,1645.0200980975496,244.0217485567233 -2012-12-24 19:00:00,1641.0292532835879,251.36787078576882 -2012-12-24 20:00:00,1636.5825358410298,256.56416045378666 -2012-12-24 21:00:00,1631.4036253695733,256.729460619372 -2012-12-24 22:00:00,1623.4092116559575,257.18387154217385 -2012-12-24 23:00:00,1615.3493105324558,258.1433533221981 -2012-12-25 00:00:00,1610.4445496629353,258.73709168711986 -2012-12-25 01:00:00,1605.6541807533542,258.99518690666105 -2012-12-25 02:00:00,1602.83835505529,259.29229609797363 -2012-12-25 03:00:00,1601.5142212806013,259.426193527467 -2012-12-25 04:00:00,1600.0460885598413,259.7488537429794 -2012-12-25 05:00:00,1598.6990166542896,259.93179678930545 -2012-12-25 06:00:00,1595.8089071159266,260.04823204215387 -2012-12-25 07:00:00,1590.3713579546927,260.48728923581837 -2012-12-25 08:00:00,1585.2979507885027,261.834740144442 -2012-12-25 09:00:00,1581.2131776195217,263.9295420504137 -2012-12-25 10:00:00,1576.5688166398818,267.12714425488576 -2012-12-25 11:00:00,1571.8477680904848,271.53265651713957 -2012-12-25 12:00:00,1569.3025646959757,276.1961686305732 -2012-12-25 13:00:00,1567.7109297319212,283.58219688946195 -2012-12-25 14:00:00,1565.2690143434609,305.98894087538025 -2012-12-25 15:00:00,1561.7177820523539,326.4110790508479 -2012-12-25 16:00:00,1555.668957833596,356.44980253684014 -2012-12-25 17:00:00,1548.1943225979944,383.92484465127154 -2012-12-25 18:00:00,1543.0895303009868,403.3699720400763 -2012-12-25 19:00:00,1530.6796830127585,418.4865409269812 -2012-12-25 20:00:00,1505.4299018747345,435.88714574820386 -2012-12-25 21:00:00,1456.2343830884824,457.33291634925445 -2012-12-25 22:00:00,1380.1915052157158,489.8087029354782 -2012-12-25 23:00:00,1296.2029899153808,518.6764466950631 -2012-12-26 00:00:00,1243.6263607178826,536.233152950965 -2012-12-26 01:00:00,1199.08869841175,548.6092700023042 -2012-12-26 02:00:00,1149.40314645748,555.676333400144 -2012-12-26 03:00:00,1100.458929237501,557.8754012506768 -2012-12-26 04:00:00,1048.28259345765,558.9407222945383 -2012-12-26 05:00:00,999.0371394990276,559.2526802610981 -2012-12-26 06:00:00,981.7115766734518,559.3642987131169 -2012-12-26 07:00:00,978.4678510756465,559.6736410639655 -2012-12-26 08:00:00,981.484079008128,560.1495587165523 -2012-12-26 09:00:00,986.7672472446529,560.5497894404624 -2012-12-26 10:00:00,993.6833565731245,560.9782798814673 -2012-12-26 11:00:00,999.842672235047,561.4135802378471 -2012-12-26 12:00:00,1007.6757530161328,562.8361001712933 -2012-12-26 13:00:00,1012.3328902873346,563.767247416477 -2012-12-26 14:00:00,1016.2134154642773,563.8047425179716 -2012-12-26 15:00:00,1018.8092755379248,565.2100480962879 -2012-12-26 16:00:00,1020.7493360307158,565.9462917031741 -2012-12-26 17:00:00,1022.0195031439353,565.6524367589316 -2012-12-26 18:00:00,1024.6160681694766,564.6242147121873 -2012-12-26 19:00:00,1028.1965899350064,563.1106898379752 -2012-12-26 20:00:00,1033.0868779355908,560.8425717216063 -2012-12-26 21:00:00,1036.904359927041,561.1620542203825 -2012-12-26 22:00:00,1040.079451126626,561.8993201776723 -2012-12-26 23:00:00,1040.95636399437,563.4172004074562 -2012-12-27 00:00:00,1041.3344774885816,564.929780025851 -2012-12-27 01:00:00,1038.3108171930858,566.2087890222983 -2012-12-27 02:00:00,1033.4968079327018,567.0064893460744 -2012-12-27 03:00:00,1028.2317305855256,567.3682720164801 -2012-12-27 04:00:00,1022.9361677567772,567.6874147207099 -2012-12-27 05:00:00,1018.4931922453394,567.9198089701503 -2012-12-27 06:00:00,1017.3120348646346,568.1367840919297 -2012-12-27 07:00:00,1019.9835032653014,568.2308232289959 -2012-12-27 08:00:00,1025.155228724663,567.8917765425089 -2012-12-27 09:00:00,1031.4542720687457,566.9754291809666 -2012-12-27 10:00:00,1039.395467493273,565.4251576655503 -2012-12-27 11:00:00,1049.1522263341737,563.3670202717843 -2012-12-27 12:00:00,1064.048066320883,560.5387341494014 -2012-12-27 13:00:00,1075.378161495222,557.5350326592373 -2012-12-27 14:00:00,1080.4719322818376,554.5554867916868 -2012-12-27 15:00:00,1082.7073948636603,551.6731458357473 -2012-12-27 16:00:00,1082.1423906500636,548.3650933184273 -2012-12-27 17:00:00,1078.2513285812636,544.9359972875211 -2012-12-27 18:00:00,1071.9534641085475,543.7884977977859 -2012-12-27 19:00:00,1067.4355715923937,542.9030032714821 -2012-12-27 20:00:00,1062.8651205027354,542.856883980934 -2012-12-27 21:00:00,1057.0962982473652,543.2967666855947 -2012-12-27 22:00:00,1051.7949084797665,543.8197380164514 -2012-12-27 23:00:00,1047.6397272217994,544.4274857485617 -2012-12-28 00:00:00,1047.1158781324143,545.0205313155035 -2012-12-28 01:00:00,1045.5404128351856,545.4117961551367 -2012-12-28 02:00:00,1044.0667913631457,545.749483587883 -2012-12-28 03:00:00,1041.4330957046222,545.8386449864654 -2012-12-28 04:00:00,1037.737698519174,545.8555614289991 -2012-12-28 05:00:00,1034.0090984102997,545.8577958852688 -2012-12-28 06:00:00,1032.6270938642665,545.9172996204612 -2012-12-28 07:00:00,1032.413586077357,546.0175618815815 -2012-12-28 08:00:00,1034.3163513305574,546.2878334698216 -2012-12-28 09:00:00,1038.3065094702858,546.5334453655795 -2012-12-28 10:00:00,1045.1587724248943,546.7709694308273 -2012-12-28 11:00:00,1055.0848888786732,547.0041280651433 -2012-12-28 12:00:00,1072.7037746381595,547.2649950098801 -2012-12-28 13:00:00,1092.06706808377,547.686708465714 -2012-12-28 14:00:00,1105.2018242836702,548.2805265708691 -2012-12-28 15:00:00,1114.2337924202407,548.7192195839588 -2012-12-28 16:00:00,1123.363449328878,549.0748247805732 -2012-12-28 17:00:00,1135.956306421606,549.3816069272838 -2012-12-28 18:00:00,1148.533706204154,549.8539105689614 -2012-12-28 19:00:00,1161.2111059619353,549.9229765306007 -2012-12-28 20:00:00,1172.6239299615297,549.9686339553058 -2012-12-28 21:00:00,1184.0275324215202,550.0722090615345 -2012-12-28 22:00:00,1196.1334175766108,550.1889470207411 -2012-12-28 23:00:00,1203.9307787236316,550.3837571803767 -2012-12-29 00:00:00,1209.0833088055128,550.6822271540981 -2012-12-29 01:00:00,1213.0274577161458,550.8111914263712 -2012-12-29 02:00:00,1215.5493099992907,550.8100416967646 -2012-12-29 03:00:00,1217.1036148872631,550.7619025704927 -2012-12-29 04:00:00,1217.0562749634596,550.7122690153415 -2012-12-29 05:00:00,1216.463030932703,550.6496762412417 -2012-12-29 06:00:00,1219.6112880715084,550.6408632148745 -2012-12-29 07:00:00,1224.4905281996157,550.6196201219673 -2012-12-29 08:00:00,1229.7530244728625,550.6059498866827 -2012-12-29 09:00:00,1236.4443494050263,550.5884001202699 -2012-12-29 10:00:00,1245.7831950927564,550.5889860355676 -2012-12-29 11:00:00,1258.3515001581266,550.5925045595588 -2012-12-29 12:00:00,1275.1042774945001,550.504306698661 -2012-12-29 13:00:00,1291.0619082432202,550.3880686577377 -2012-12-29 14:00:00,1305.620636095926,550.2006097294792 -2012-12-29 15:00:00,1317.5585774100296,549.9777069206133 -2012-12-29 16:00:00,1328.5468261009055,549.6981901119472 -2012-12-29 17:00:00,1336.0491963201653,549.3554527610894 -2012-12-29 18:00:00,1343.669150412347,548.995976267012 -2012-12-29 19:00:00,1350.0829884181321,548.6338878584479 -2012-12-29 20:00:00,1355.9615847588973,548.3735053431939 -2012-12-29 21:00:00,1364.2242518408345,548.1018762548733 -2012-12-29 22:00:00,1380.1541007512674,547.9616522534285 -2012-12-29 23:00:00,1409.0648982821583,547.9291907590683 -2012-12-30 00:00:00,1432.7342161792983,547.7656448885598 -2012-12-30 01:00:00,1444.6554383382143,547.686336883534 -2012-12-30 02:00:00,1436.457810144147,547.6065044860599 -2012-12-30 03:00:00,1403.9843256406955,547.5724897469908 -2012-12-30 04:00:00,1354.4970298520218,547.5220643431358 -2012-12-30 05:00:00,1310.294714935318,547.4862930960326 -2012-12-30 06:00:00,1297.628288457104,547.4524231200297 -2012-12-30 07:00:00,1299.4353507555784,547.4162035876399 -2012-12-30 08:00:00,1306.1422194870831,547.3768635155762 -2012-12-30 09:00:00,1314.7045834952949,547.3380562881813 -2012-12-30 10:00:00,1324.7227657722492,547.2869753352076 -2012-12-30 11:00:00,1335.9033763013315,547.2330181900496 -2012-12-30 12:00:00,1348.687066479294,547.218377808484 -2012-12-30 13:00:00,1359.8984376418482,547.199996249469 -2012-12-30 14:00:00,1370.0079767109323,547.1620724225846 -2012-12-30 15:00:00,1378.288682307733,547.1222036159859 -2012-12-30 16:00:00,1386.262074944503,547.0165151466981 -2012-12-30 17:00:00,1394.1088161361647,546.8258400502446 -2012-12-30 18:00:00,1402.0963141645523,546.5075919763864 -2012-12-30 19:00:00,1409.7706652187896,546.5612820459874 -2012-12-30 20:00:00,1417.8535808313404,547.2086036299521 -2012-12-30 21:00:00,1426.4111757616492,547.9827449137504 -2012-12-30 22:00:00,1435.1330901863967,548.8520156711517 -2012-12-30 23:00:00,1443.3839817664036,548.8495571116849 -2012-12-31 00:00:00,1450.070277595455,548.688745480016 -2012-12-31 01:00:00,1456.5896385954434,548.4135255769548 -2012-12-31 02:00:00,1463.3132052439482,547.836962496168 -2012-12-31 03:00:00,1470.2317425500755,546.957364293051 -2012-12-31 04:00:00,1477.2046864160268,545.0308270261784 -2012-12-31 05:00:00,1484.202870552193,542.7387995219756 -2012-12-31 06:00:00,1491.3527276698173,540.577367984906 -2012-12-31 07:00:00,1498.9813448827647,538.1564077472909 -2012-12-31 08:00:00,1507.9534683005372,536.0387648894439 -2012-12-31 09:00:00,1517.494229840612,535.1467268032843 -2012-12-31 10:00:00,1527.8734437781538,532.8584659170713 -2012-12-31 11:00:00,1538.4369841695088,529.9646811097141 -2012-12-31 12:00:00,1546.5766215426356,527.3805696755882 -2012-12-31 13:00:00,1557.0333236390277,525.6831000112074 -2012-12-31 14:00:00,1566.9059227908406,524.408087273128 -2012-12-31 15:00:00,1576.2385259786581,527.8057196743025 -2012-12-31 16:00:00,1585.9584767973083,538.2440407842802 -2012-12-31 17:00:00,1594.8500212216848,602.2120136723987 -2012-12-31 18:00:00,1601.6330342919678,649.6619528545701 -2012-12-31 19:00:00,1608.9002227107833,684.7801056832058 -2012-12-31 20:00:00,1616.7620822775234,715.9765238004277 -2012-12-31 21:00:00,1624.4021356943417,741.6389614098713 -2012-12-31 22:00:00,1631.674797059713,763.2649544913987 -2012-12-31 23:00:00,1638.760148302329,775.6347979182294 diff --git a/scenarios/ME IRP 2024/scenarios_to_run.xlsx b/scenarios/ME IRP 2024/scenarios_to_run.xlsx new file mode 100644 index 0000000..abec005 Binary files /dev/null and b/scenarios/ME IRP 2024/scenarios_to_run.xlsx differ diff --git a/scenarios/ME IRP 2024/sub_scenarios/.~lock.fixed_technologies.xlsx# b/scenarios/ME IRP 2024/sub_scenarios/.~lock.fixed_technologies.xlsx# new file mode 100644 index 0000000..eb176b0 --- /dev/null +++ b/scenarios/ME IRP 2024/sub_scenarios/.~lock.fixed_technologies.xlsx# @@ -0,0 +1 @@ +,pklein,pklein-DESKTOP,29.04.2024 17:07,file:///home/pklein/.config/libreoffice/4; \ No newline at end of file diff --git a/scenarios/ME IRP 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2024/sub_scenarios/transmission_expansion.xlsx new file mode 100644 index 0000000..98a7680 Binary files /dev/null and b/scenarios/ME IRP 2024/sub_scenarios/transmission_expansion.xlsx differ diff --git a/scripts/_helpers.py b/scripts/_helpers.py old mode 100644 new mode 100755 index 4f21933..ac1eb45 --- a/scripts/_helpers.py +++ b/scripts/_helpers.py @@ -1,98 +1,1070 @@ -import pandas as pd -import numpy as np -from six import iteritems, iterkeys, itervalues - -import pypsa - -def pdbcast(v, h): - return pd.DataFrame(v.values.reshape((-1, 1)) * h.values, - index=v.index, columns=h.index) - - -def load_network(fn, opts, combine_hydro_ps=True): - n = pypsa.Network(fn) - - n.loads["carrier"] = n.loads.bus.map(n.buses.carrier) + " load" - n.stores["carrier"] = n.stores.bus.map(n.buses.carrier) - - n.links["carrier"] = (n.links.bus0.map(n.buses.carrier) + "-" + n.links.bus1.map(n.buses.carrier)) - n.lines["carrier"] = "AC line" - n.transformers["carrier"] = "AC transformer" - - n.lines['s_nom'] = n.lines['s_nom_min'] - - if combine_hydro_ps: - n.storage_units.loc[n.storage_units.carrier.isin({'Pumped storage', 'Hydro'}), 'carrier'] = 'Hydro+PS' - - # #if the carrier was not set on the heat storage units - # bus_carrier = n.storage_units.bus.map(n.buses.carrier) - # n.storage_units.loc[bus_carrier == "heat","carrier"] = "water tanks" - - for name in opts['heat_links'] + opts['heat_generators']: - n.links.loc[n.links.index.to_series().str.endswith(name), "carrier"] = name - - return n - -def aggregate_p_nom(n): - return pd.concat([ - n.generators.groupby("carrier").p_nom_opt.sum(), - n.storage_units.groupby("carrier").p_nom_opt.sum(), - n.links.groupby("carrier").p_nom_opt.sum(), - n.loads_t.p.groupby(n.loads.carrier,axis=1).sum().mean() - ]) - -def aggregate_p(n): - return pd.concat([ - n.generators_t.p.sum().groupby(n.generators.carrier).sum(), - n.storage_units_t.p.sum().groupby(n.storage_units.carrier).sum(), - n.stores_t.p.sum().groupby(n.stores.carrier).sum(), - -n.loads_t.p.sum().groupby(n.loads.carrier).sum() - ]) - -def aggregate_e_nom(n): - return pd.concat([ - (n.storage_units["p_nom_opt"]*n.storage_units["max_hours"]).groupby(n.storage_units["carrier"]).sum(), - n.stores["e_nom_opt"].groupby(n.stores.carrier).sum() - ]) - -def aggregate_p_curtailed(n): - return pd.concat([ - ((n.generators_t.p_max_pu.sum().multiply(n.generators.p_nom_opt) - n.generators_t.p.sum()) - .groupby(n.generators.carrier).sum()), - ((n.storage_units_t.inflow.sum() - n.storage_units_t.p.sum()) - .groupby(n.storage_units.carrier).sum()) - ]) - -def aggregate_costs(n, flatten=False, opts=None, existing_only=False): - components = dict(Link=("p_nom", "p0"), - Generator=("p_nom", "p"), - StorageUnit=("p_nom", "p"), - Store=("e_nom", "p"), - Line=("s_nom", None), - Transformer=("s_nom", None)) - - costs = {} - for c, (p_nom, p_attr) in zip( - n.iterate_components(iterkeys(components), skip_empty=False), - itervalues(components) - ): - if not existing_only: p_nom += "_opt" - costs[(c.list_name, 'capital')] = (c.df[p_nom] * c.df.capital_cost).groupby(c.df.carrier).sum() - if p_attr is not None: - p = c.pnl[p_attr].sum() - if c.name == 'StorageUnit': - p = p.loc[p > 0] - costs[(c.list_name, 'marginal')] = (p*c.df.marginal_cost).groupby(c.df.carrier).sum() - costs = pd.concat(costs, sort=False) - - if flatten: - assert opts is not None - conv_techs = opts['conv_techs'] - - costs = costs.reset_index(level=0, drop=True) - costs = costs['capital'].add( - costs['marginal'].rename({t: t + ' marginal' for t in conv_techs}), - fill_value=0. - ) - - return costs +# SPDX-FileCopyrightText: PyPSA-RSA, PyPSA-ZA, PyPSA-Earth and PyPSA-Eur Authors +# # SPDX-License-Identifier: MIT +# -*- coding: utf-8 -*- + +import os +from pathlib import Path + +import geopandas as gpd +import numpy as np +import pandas as pd + +from pypsa.descriptors import get_switchable_as_dense as get_as_dense +from pypsa.descriptors import get_activity_mask, get_active_assets +from pypsa.io import import_components_from_dataframe + +""" +List of general helper functions +- configure_logging -> +- normed -> +""" +def configure_logging(snakemake, skip_handlers=False): + """ + Configure the basic behaviour for the logging module. + + Note: Must only be called once from the __main__ section of a script. +if not os.path.exists(folder_name): + # If it doesn't exist, create it + os.makedirs(folder_name) + print(f"Folder '{folder_name}' was created.") +else: + print(f"Folder '{folder_name}' already exists.")lse (default) + Do (not) skip the default handlers created for redirecting output to STDERR and file. + """ + + import logging + + kwargs = snakemake.config.get("logging", dict()) + kwargs.setdefault("level", "INFO") + + if skip_handlers is False: + fallback_path = Path(__file__).parent.joinpath( + "..", "logs", f"{snakemake.rule}.log" + ) + logfile = snakemake.log.get( + "python", snakemake.log[0] if snakemake.log else fallback_path + ) + kwargs.update( + { + "handlers": [ + # Prefer the "python" log, otherwise take the first log for each + # Snakemake rule + logging.FileHandler(logfile), + logging.StreamHandler(), + ] + } + ) + logging.basicConfig(**kwargs) + +def normed(s): + return s / s.sum() + + +""" +List of cost related functions + +""" + + +def add_missing_carriers(n): + all_carriers = ( + list(n.generators.carrier.unique()) + + list(n.storage_units.carrier.unique()) + + list(n.links.carrier.unique()) + ) + + missing_carriers = pd.Index(all_carriers).difference(n.carriers.index) + n.madd("Carrier", missing_carriers) + +""" +List of IO functions + - load_network -> + - sets_path_to_root -> + - read_and_filter_generators -> add_electricity.py + - read_csv_nafix -> + - to_csv_nafix -> +""" + + +def sets_path_to_root(root_directory_name): + """ + Search and sets path to the given root directory (root/path/file). + + Parameters + ---------- + root_directory_name : str + Name of the root directory. + n : int + Number of folders the function will check upwards/root directed. + + """ + import os + + repo_name = root_directory_name + n = 8 # check max 8 levels above. Random default. + n0 = n + + while n >= 0: + n -= 1 + # if repo_name is current folder name, stop and set path + if repo_name == os.path.basename(os.path.abspath(".")): + repo_path = os.getcwd() # os.getcwd() = current_path + os.chdir(repo_path) # change dir_path to repo_path + print("This is the repository path: ", repo_path) + print("Had to go %d folder(s) up." % (n0 - 1 - n)) + break + # if repo_name NOT current folder name for 5 levels then stop + if n == 0: + print("Cant find the repo path.") + # if repo_name NOT current folder name, go one dir higher + else: + upper_path = os.path.dirname(os.path.abspath(".")) # name of upper folder + os.chdir(upper_path) + +def read_and_filter_generators(file, sheet, index, filter_carriers): + df = pd.read_excel( + file, + sheet_name=sheet, + na_values=["-"], + index_col=[0,1] + ).loc[index] + return df[df["Carrier"].isin(filter_carriers)] + + +def read_csv_nafix(file, **kwargs): + "Function to open a csv as pandas file and standardize the na value" + if "keep_default_na" in kwargs: + del kwargs["keep_default_na"] + if "na_values" in kwargs: + del kwargs["na_values"] + + return pd.read_csv(file, **kwargs, keep_default_na=False, na_values=NA_VALUES) + + +def to_csv_nafix(df, path, **kwargs): + if "na_rep" in kwargs: + del kwargs["na_rep"] + if not df.empty: + return df.to_csv(path, **kwargs, na_rep=NA_VALUES[0]) + with open(path, "w") as fp: + pass + +def add_row_multi_index_df(df, add_index, level): + if level == 1: + idx = pd.MultiIndex.from_product([df.index.get_level_values(0),add_index]) + add_df = pd.DataFrame(index=idx,columns=df.columns) + df = pd.concat([df,add_df]).sort_index() + df = df[~df.index.duplicated(keep='first')] + return df + +def load_network(import_name=None, custom_components=None): + """ + Helper for importing a pypsa.Network with additional custom components. + + Parameters + ---------- + import_name : str + As in pypsa.Network(import_name) + custom_components : dict + Dictionary listing custom components. + For using ``snakemake.config["override_components"]`` + in ``config.yaml`` define: + + .. code:: yaml + + override_components: + ShadowPrice: + component: ["shadow_prices","Shadow price for a global constraint.",np.nan] + attributes: + name: ["string","n/a","n/a","Unique name","Input (required)"] + value: ["float","n/a",0.,"shadow value","Output"] + + Returns + ------- + pypsa.Network + """ + import pypsa + from pypsa.descriptors import Dict + + override_components = None + override_component_attrs = None + + if custom_components is not None: + override_components = pypsa.components.components.copy() + override_component_attrs = Dict( + {k: v.copy() for k, v in pypsa.components.component_attrs.items()} + ) + for k, v in custom_components.items(): + override_components.loc[k] = v["component"] + override_component_attrs[k] = pd.DataFrame( + columns=["type", "unit", "default", "description", "status"] + ) + for attr, val in v["attributes"].items(): + override_component_attrs[k].loc[attr] = val + + return pypsa.Network( + import_name=import_name, + override_components=override_components, + override_component_attrs=override_component_attrs, + ) + +def load_disaggregate(v, h): + return pd.DataFrame( + v.values.reshape((-1, 1)) * h.values, index=v.index, columns=h.index + ) + +def load_scenario_definition(snakemake): + + script_dir = Path(__file__).parent.resolve() + prefix = ".." if Path.cwd().resolve() == script_dir else "" + + scenario_folder = os.path.join( + prefix, + "scenarios", + snakemake.config["scenarios"]["folder"] + ) + + scenario_setup = load_scenario_setup( + os.path.join(scenario_folder, snakemake.config["scenarios"]["setup"]), + snakemake.wildcards.scenario + ) + scenario_setup["path"] = scenario_folder + scenario_setup["sub_path"] = scenario_folder + "/sub_scenarios" + + return scenario_setup + +def load_network_for_plots(fn, model_file, config, model_setup_costs, combine_hydro_ps=True, ): + import pypsa + from add_electricity import load_costs, update_transmission_costs + + n = pypsa.Network(fn) + + n.loads["carrier"] = n.loads.bus.map(n.buses.carrier) + " load" + n.stores["carrier"] = n.stores.bus.map(n.buses.carrier) + + n.links["carrier"] = ( + n.links.bus0.map(n.buses.carrier) + "-" + n.links.bus1.map(n.buses.carrier) + ) + n.lines["carrier"] = "AC line" + n.transformers["carrier"] = "AC transformer" + + n.lines["s_nom"] = n.lines["s_nom_min"] + n.links["p_nom"] = n.links["p_nom_min"] + + if combine_hydro_ps: + n.storage_units.loc[ + n.storage_units.carrier.isin({"PHS", "hydro"}), "carrier" + ] = "hydro+PHS" + + # if the carrier was not set on the heat storage units + # bus_carrier = n.storage_units.bus.map(n.buses.carrier) + # n.storage_units.loc[bus_carrier == "heat","carrier"] = "water tanks" + + Nyears = n.snapshot_weightings.objective.sum() / 8760.0 + costs = load_costs(model_file, + model_setup_costs, + config["costs"], + config["electricity"], + n.investment_periods) + + update_transmission_costs(n, costs) + + return n + + +def update_p_nom_max(n): + # if extendable carriers (solar/onwind/...) have capacity >= 0, + # e.g. existing assets from the OPSD project are included to the network, + # the installed capacity might exceed the expansion limit. + # Hence, we update the assumptions. + + n.generators.p_nom_max = n.generators[["p_nom_min", "p_nom_max"]].max(1) + + +""" +List of PyPSA network statistics functions + +""" + +def aggregate_capacity(n): + capacity=pd.DataFrame( + np.nan,index=np.append(n.generators.carrier.unique(),n.storage_units.carrier.unique()), + columns=range(n.investment_periods[0],n.investment_periods[-1]+1) + ) + + carriers=n.generators.carrier.unique() + carriers = carriers[carriers !='load_shedding'] + for y in n.investment_periods: + capacity.loc[carriers,y]=n.generators.p_nom_opt[(n.get_active_assets('Generator',y))].groupby(n.generators.carrier).sum() + + carriers=n.storage_units.carrier.unique() + for y in n.investment_periods: + capacity.loc[carriers,y]=n.storage_units.p_nom_opt[(n.get_active_assets('StorageUnit',y))].groupby(n.storage_units.carrier).sum() + + capacity.loc['ocgt',:]=capacity.loc['ocgt_gas',:]+capacity.loc['ocgt_diesel',:] + + + return capacity.interpolate(axis=1) + +def aggregate_energy(n): + + def aggregate_p(n,y): + return pd.concat( + [ + ( + n.generators_t.p + .mul(n.snapshot_weightings['objective'],axis=0) + .loc[y].sum() + .groupby(n.generators.carrier) + .sum() + ), + ( + n.storage_units_t.p_dispatch + .mul(n.snapshot_weightings['objective'],axis=0) + .loc[y].sum() + .groupby(n.storage_units.carrier).sum() + ) + ] + ) + energy=pd.DataFrame( + np.nan, + index=np.append(n.generators.carrier.unique(),n.storage_units.carrier.unique()), + columns=range(n.investment_periods[0],n.investment_periods[-1]+1) + ) + + for y in n.investment_periods: + energy.loc[:,y]=aggregate_p(n,y) + + return energy.interpolate(axis=1) + +def aggregate_p_nom(n): + return pd.concat( + [ + n.generators.groupby("carrier").p_nom_opt.sum(), + n.storage_units.groupby("carrier").p_nom_opt.sum(), + n.links.groupby("carrier").p_nom_opt.sum(), + n.loads_t.p.groupby(n.loads.carrier, axis=1).sum().mean(), + ] + ) + + +def aggregate_p(n): + return pd.concat( + [ + n.generators_t.p.sum().groupby(n.generators.carrier).sum(), + n.storage_units_t.p.sum().groupby(n.storage_units.carrier).sum(), + n.stores_t.p.sum().groupby(n.stores.carrier).sum(), + -n.loads_t.p.sum().groupby(n.loads.carrier).sum(), + ] + ) + + +def aggregate_e_nom(n): + return pd.concat( + [ + (n.storage_units["p_nom_opt"] * n.storage_units["max_hours"]) + .groupby(n.storage_units["carrier"]) + .sum(), + n.stores["e_nom_opt"].groupby(n.stores.carrier).sum(), + ] + ) + + +def aggregate_p_curtailed(n): + return pd.concat( + [ + ( + ( + n.generators_t.p_max_pu.sum().multiply(n.generators.p_nom_opt) + - n.generators_t.p.sum() + ) + .groupby(n.generators.carrier) + .sum() + ), + ( + (n.storage_units_t.inflow.sum() - n.storage_units_t.p.sum()) + .groupby(n.storage_units.carrier) + .sum() + ), + ] + ) + +def aggregate_costs(n): + + components = dict( + Link=("p_nom_opt", "p0"), + Generator=("p_nom_opt", "p"), + StorageUnit=("p_nom_opt", "p"), + Store=("e_nom_opt", "p"), + Line=("s_nom_opt", None), + Transformer=("s_nom_opt", None), + ) + + fixed_cost, variable_cost=pd.DataFrame([]),pd.DataFrame([]) + for c, (p_nom, p_attr) in zip( + n.iterate_components(components.keys(), skip_empty=False), components.values() + ): + if c.df.empty: + continue + + if n._multi_invest: + active = pd.concat( + { + period: get_active_assets(n, c.name, period) + for period in n.snapshots.unique("period") + }, + axis=1, + ) + if c.name not in ["Line", "Transformer"]: + marginal_costs = ( + get_as_dense(n, c.name, "marginal_cost", n.snapshots) + .mul(n.snapshot_weightings.objective, axis=0) + ) + + fixed_cost_tmp=pd.DataFrame(0,index=n.df(c.name).carrier.unique(),columns=n.investment_periods) + variable_cost_tmp=pd.DataFrame(0,index=n.df(c.name).carrier.unique(),columns=n.investment_periods) + + for y in n.investment_periods: + fixed_cost_tmp.loc[:,y] = (active[y]*c.df[p_nom]*c.df.capital_cost).groupby(c.df.carrier).sum() + + if p_attr is not None: + p = c.pnl[p_attr].loc[y] + if c.name == "StorageUnit": + p = p[p>=0] + + variable_cost_tmp.loc[:,y] = (marginal_costs.loc[y]*p).sum().groupby(c.df.carrier).sum() + + fixed_cost = pd.concat([fixed_cost,fixed_cost_tmp]) + variable_cost = pd.concat([variable_cost,variable_cost_tmp]) + + return fixed_cost, variable_cost + +# def aggregate_costs(n, flatten=False, opts=None, existing_only=False): + +# components = dict( +# Link=("p_nom", "p0"), +# Generator=("p_nom", "p"), +# StorageUnit=("p_nom", "p"), +# Store=("e_nom", "p"), +# Line=("s_nom", None), +# Transformer=("s_nom", None), +# ) + +# costs = {} +# for c, (p_nom, p_attr) in zip( +# n.iterate_components(components.keys(), skip_empty=False), components.values() +# ): +# if c.df.empty: +# continue +# if not existing_only: +# p_nom += "_opt" +# costs[(c.list_name, "capital")] = ( +# (c.df[p_nom] * c.df.capital_cost).groupby(c.df.carrier).sum() +# ) +# if p_attr is not None: +# p = c.pnl[p_attr].sum() +# if c.name == "StorageUnit": +# p = p.loc[p > 0] +# costs[(c.list_name, "marginal")] = ( +# (p * c.df.marginal_cost).groupby(c.df.carrier).sum() +# ) +# costs = pd.concat(costs) + +# if flatten: +# assert opts is not None +# conv_techs = opts["conv_techs"] + +# costs = costs.reset_index(level=0, drop=True) +# costs = costs["capital"].add( +# costs["marginal"].rename({t: t + " marginal" for t in conv_techs}), +# fill_value=0.0, +# ) + +# return costs + + +def progress_retrieve(url, file, data=None, disable_progress=False, roundto=1.0): + """ + Function to download data from a url with a progress bar progress in retrieving data + + Parameters + ---------- + url : str + Url to download data from + file : str + File where to save the output + data : dict + Data for the request (default None), when not none Post method is used + disable_progress : bool + When true, no progress bar is shown + roundto : float + (default 0) Precision used to report the progress + e.g. 0.1 stands for 88.1, 10 stands for 90, 80 + """ + import urllib + + from tqdm import tqdm + + pbar = tqdm(total=100, disable=disable_progress) + + def dlProgress(count, blockSize, totalSize, roundto=roundto): + pbar.n = round(count * blockSize * 100 / totalSize / roundto) * roundto + pbar.refresh() + + if data is not None: + data = urllib.parse.urlencode(data).encode() + + urllib.request.urlretrieve(url, file, reporthook=dlProgress, data=data) + + +def get_aggregation_strategies(aggregation_strategies): + """ + default aggregation strategies that cannot be defined in .yaml format must be specified within + the function, otherwise (when defaults are passed in the function's definition) they get lost + when custom values are specified in the config. + """ + import numpy as np + from pypsa.networkclustering import _make_consense + + bus_strategies = dict(country=_make_consense("Bus", "country")) + bus_strategies.update(aggregation_strategies.get("buses", {})) + + generator_strategies = {"build_year": lambda x: 0, "lifetime": lambda x: np.inf} + generator_strategies.update(aggregation_strategies.get("generators", {})) + + return bus_strategies, generator_strategies + + +def mock_snakemake(rulename, **wildcards): + """ + This function is expected to be executed from the "scripts"-directory of " + the snakemake project. It returns a snakemake.script.Snakemake object, + based on the Snakefile. + + If a rule has wildcards, you have to specify them in **wildcards. + + Parameters + ---------- + rulename: str + name of the rule for which the snakemake object should be generated + **wildcards: + keyword arguments fixing the wildcards. Only necessary if wildcards are + needed. + """ + import os + + import snakemake as sm + try: + from pypsa.descriptors import Dict + except: + from pypsa.definitions.structures import Dict + from snakemake.script import Snakemake + from snakemake.script import Snakemake + from snakemake.common import SNAKEFILE_CHOICES + from snakemake.api import Workflow + from snakemake.settings.types import ( + ConfigSettings, + DAGSettings, + ResourceSettings, + StorageSettings, + WorkflowSettings, + ) + + script_dir = Path(__file__).parent.resolve() + assert ( + Path.cwd().resolve() == script_dir + ), f"mock_snakemake has to be run from the repository scripts directory {script_dir}" + os.chdir(script_dir.parent) + for p in SNAKEFILE_CHOICES: + if os.path.exists(p): + snakefile = p + break + workflow = Workflow(ConfigSettings(configfiles=[]), ResourceSettings(), WorkflowSettings(), StorageSettings(), DAGSettings(rerun_triggers=[]), storage_provider_settings=dict()) + workflow.include(snakefile) + workflow.global_resources = {} + try: + rule = workflow.get_rule(rulename) + except Exception as exception: + print( + exception, + f"The {rulename} might be a conditional rule in the Snakefile.\n" + f"Did you enable {rulename} in the config?", + ) + raise + dag = sm.dag.DAG(workflow, rules=[rule]) + wc = Dict(wildcards) + job = sm.jobs.Job(rule, dag, wc) + + def make_accessable(*ios): + for io in ios: + for i in range(len(io)): + io[i] = os.path.abspath(io[i]) + + make_accessable(job.input, job.output, job.log) + snakemake = Snakemake( + job.input, + job.output, + job.params, + job.wildcards, + job.threads, + job.resources, + job.log, + job.dag.workflow.config, + job.rule.name, + None, + ) + # create log and output dir if not existent + for path in list(snakemake.log) + list(snakemake.output): + Path(path).parent.mkdir(parents=True, exist_ok=True) + + os.chdir(script_dir) + return snakemake + + + +def save_to_geojson(df, fn, crs = 'EPSG:4326'): + if os.path.exists(fn): + os.unlink(fn) # remove file if it exists + + # save file if the (Geo)DataFrame is non-empty + if df.empty: + # create empty file to avoid issues with snakemake + with open(fn, "w") as fp: + pass + else: + # save file + df.to_file(fn, driver="GeoJSON",crs=crs) + + +def read_geojson(fn): + # if the file is non-zero, read the geodataframe and return it + if os.path.getsize(fn) > 0: + return gpd.read_file(fn) + else: + # else return an empty GeoDataFrame + return gpd.GeoDataFrame(geometry=[]) + + +def convert_cost_units(costs, USD_ZAR, EUR_ZAR): + costs_yr = costs.columns.drop('unit') + costs.loc[costs.unit.str.contains("/kW")==True, costs_yr ] *= 1e3 + costs.loc[costs.unit.str.contains("USD")==True, costs_yr ] *= USD_ZAR + costs.loc[costs.unit.str.contains("EUR")==True, costs_yr ] *= EUR_ZAR + + costs.loc[costs.unit.str.contains('/kW')==True, 'unit'] = costs.loc[costs.unit.str.contains('/kW')==True, 'unit'].str.replace('/kW', '/MW') + costs.loc[costs.unit.str.contains('USD')==True, 'unit'] = costs.loc[costs.unit.str.contains('USD')==True, 'unit'].str.replace('USD', 'ZAR') + costs.loc[costs.unit.str.contains('EUR')==True, 'unit'] = costs.loc[costs.unit.str.contains('EUR')==True, 'unit'].str.replace('EUR', 'ZAR') + + # Convert fuel cost from R/GJ to R/MWh + costs.loc[costs.unit.str.contains("R/GJ")==True, costs_yr ] *= 3.6 + costs.loc[costs.unit.str.contains("R/GJ")==True, 'unit'] = 'R/MWhe' + return costs + +def map_component_parameters(tech, first_year, tech_flag): + + rename_dict = dict( + fom = "Fixed O&M Cost (R/kW/yr)", + p_nom = 'Capacity (MW)', + name ='Power Station Name', + carrier = 'Carrier', + build_year = 'Commissioning Date', + decom_date = 'Decommissioning Date', + x = 'GPS Longitude', + y = 'GPS Latitude', + status = 'Status', + heat_rate = 'Heat Rate (GJ/MWh)', + fuel_price = 'Fuel Price (R/GJ)', + vom = 'Variable O&M Cost (R/MWh)', + max_ramp_up = 'Max Ramp Up (%/h)', + max_ramp_down = 'Max Ramp Down (%/h)', + max_ramp_start_up = 'Max Ramp Start Up (%/h)', + max_ramp_shut_down = 'Max Ramp Shut Down (%/h)', + start_up_cost = 'Start Up Cost (R)', + shut_down_cost = 'Shut Down Cost (R)', + p_min_pu = 'Min Stable Level (%)', + min_up_time = 'Min Up Time (h)', + min_down_time = 'Min Down Time (h)', + unit_size = 'Unit size (MW)', + units = 'Number units', + maint_rate = 'Typical annual maintenance rate (%)', + out_rate = 'Typical annual forced outage rate (%)', + st_efficiency="Round Trip Efficiency (%)", + max_hours="Max Storage (hours)", + CSP_max_hours='CSP Storage (hours)' + ) + + if tech_flag == 'Generator': + tech['efficiency'] = (3.6/tech.pop(rename_dict['heat_rate'])).fillna(1) + tech['ramp_limit_up'] = tech.pop(rename_dict['max_ramp_up']) + tech['ramp_limit_down'] = tech.pop(rename_dict['max_ramp_down']) + tech['ramp_limit_start_up'] = tech.pop(rename_dict['max_ramp_start_up']) + tech['ramp_limit_shut_down'] = tech.pop(rename_dict['max_ramp_shut_down']) + tech['start_up_cost'] = tech.pop(rename_dict['start_up_cost']).fillna(0) + tech['shut_down_cost'] = tech.pop(rename_dict['shut_down_cost']).fillna(0) + tech['min_up_time'] = tech.pop(rename_dict['min_up_time']).fillna(0) + tech['min_down_time'] = tech.pop(rename_dict['min_down_time']).fillna(0) + tech['marginal_cost'] = (3.6*tech.pop(rename_dict['fuel_price'])/tech['efficiency']).fillna(0) + tech.pop(rename_dict['vom']) + else: + tech["efficiency"] = tech.pop(rename_dict["st_efficiency"]) + tech["max_hours"] = tech.pop(rename_dict["max_hours"]) + tech['marginal_cost'] = tech.pop(rename_dict['vom']) + + + tech['capital_cost'] = 1e3*tech.pop(rename_dict['fom']) + tech = tech.rename( + columns={rename_dict[f]: f for f in {'p_nom', 'name', 'carrier', 'x', 'y','build_year','decom_date','p_min_pu'}} + ) + + tech['build_year'] = tech['build_year'].fillna(first_year-1).values + tech['decom_date'] = tech['decom_date'].replace({'beyond 2050': 2051}).values + tech['lifetime'] = tech['decom_date'] - tech['build_year'] + + return tech + +def remove_leap_day(df): + return df[~((df.index.month == 2) & (df.index.day == 29))] + +def save_to_geojson(df, fn): + if os.path.exists(fn): + os.unlink(fn) # remove file if it exists + if not isinstance(df, gpd.GeoDataFrame): + df = gpd.GeoDataFrame(dict(geometry=df)) + + # save file if the GeoDataFrame is non-empty + if df.shape[0] > 0: + df = df.reset_index() + # schema = {**gpd.io.file.infer_schema(df), "geometry": "Unknown"} + df.to_file(fn, driver="GeoJSON") # schema=schema) + else: + # create empty file to avoid issues with snakemake + with open(fn, "w") as fp: + pass + +def drop_non_pypsa_attrs(n, c, df): + df = df.loc[:, df.columns.isin(n.components[c]["attrs"].index)] + return df + +def normalize_and_rename_df(df, snapshots, fillna, suffix=None): + df = df.loc[snapshots] + df = (df / df.max()).fillna(fillna) + if suffix: + df.columns += f'_{suffix}' + return df, df.max() + +def normalize_and_rename_df(df, snapshots, fillna, suffix=None): + df = df.loc[snapshots] + df = (df / df.max()).fillna(fillna) + if suffix: + df.columns += f'_{suffix}' + return df, df.max() + +def assign_segmented_df_to_network(df, search_str, replace_str, target): + cols = df.columns[df.columns.str.contains(search_str)] + segmented = df[cols] + segmented.columns = segmented.columns.str.replace(search_str, replace_str) + target = segmented + + +def get_start_year(sns, multi_invest): + return sns.get_level_values(0)[0] if multi_invest else sns[0].year + +def get_snapshots(sns, multi_invest): + return sns.get_level_values(1) if multi_invest else sns + +def get_investment_periods(sns, multi_invest): + return sns.get_level_values(0).unique().to_list() if multi_invest else [sns[0].year] + +def adjust_by_p_max_pu(n, config): + p_max = get_as_dense(n, "Generator", "p_max_pu") + + for carrier in config.keys(): + gen_list = n.generators[n.generators.carrier == carrier].index + for p in config[carrier]:#["p_min_pu", "ramp_limit_up", "ramp_limit_down"]: + n.generators_t[p][gen_list] = ( + get_as_dense(n, "Generator", p)[gen_list] * get_as_dense(n, "Generator", "p_max_pu")[gen_list] + ) + +def initial_ramp_rate_fix(n): + ramp_up_dense = get_as_dense(n, "Generator", "ramp_limit_up") + ramp_down_dense = get_as_dense(n, "Generator", "ramp_limit_down") + p_min_pu_dense = get_as_dense(n, "Generator", "p_min_pu") + + limit_up = ~ramp_up_dense.isnull().all() + limit_down = ~ramp_down_dense.isnull().all() + + for y, y_prev in zip(n.investment_periods[1:], n.investment_periods[:-1]): + first_sns = (y, f"{y}-01-01 00:00:00") + new_build = n.generators.query("build_year <= @y & build_year > @y_prev").index + + gens_up = new_build[limit_up[new_build]] + n.generators_t.ramp_limit_up.loc[:, gens_up] = ramp_up_dense.loc[:, gens_up] + n.generators_t.ramp_limit_up.loc[first_sns, gens_up] = np.maximum(p_min_pu_dense.loc[first_sns, gens_up], ramp_up_dense.loc[first_sns, gens_up]) + + gens_down = new_build[limit_down[new_build]] + n.generators_t.ramp_limit_down.loc[:,gens_down] = ramp_down_dense.loc[:, gens_down] + n.generators_t.ramp_limit_down.loc[first_sns, gens_down] = np.maximum(p_min_pu_dense.loc[first_sns, gens_up], ramp_up_dense.loc[first_sns, gens_up]) + + +def apply_default_attr(df, attrs): + params = [ + "bus", + "carrier", + "lifetime", + "p_nom", + "efficiency", + "ramp_limit_up", + "ramp_limit_down", + "marginal_cost", + "capital_cost" + ] + uc_params = [ + "ramp_limit_start_up", + "ramp_limit_shut_down", + "start_up_cost", + "shut_down_cost", + "min_up_time", + "min_down_time", + #"p_min_pu", + ] + params += uc_params + + default_attrs = attrs[["default","type"]] + default_list = default_attrs.loc[default_attrs.index.isin(params), "default"].dropna().index + + conv_type = {'int': int, 'float': float, "static or series": float, "series": float, 'boolean': bool, 'string': str} + for attr in default_list: + default = default_attrs.loc[attr, "default"] + df[attr] = df[attr].fillna(conv_type[default_attrs.loc[attr, "type"]](default)) + + return df + +def add_noise(df, std_dev, steps): + noise = pd.Series(index=df.index, dtype=float) + idxs = noise.iloc[::steps].index + noise.loc[idxs] = df.loc[idxs] + np.random.normal(loc=0, scale=std_dev, size=len(idxs)) + return noise.interpolate() + +def get_carriers_from_model_file(scenario_setup): + + carriers = { + "fixed":{ + "conventional":[], + "renewables":[], + "storage":[], + }, + "extendable":{ + "conventional":[], + "renewables":[], + "storage":[], + } + } + + for tech in ["conventional", "renewables", "storage"]: + carriers["fixed"][tech] = list(pd.read_excel( + os.path.join(scenario_setup["sub_path"],"fixed_technologies.xlsx"), + sheet_name=f"{tech}", + na_values=["-"], + index_col=[0,1] + ).loc[scenario_setup[f"fixed_{tech}"]]["Carrier"].unique()) + + ext_carriers = ( + pd.read_excel( + os.path.join(scenario_setup["sub_path"],"extendable_technologies.xlsx"), + sheet_name='active', + index_col=[0,1,2], + ))[scenario_setup["extendable_techs"]] + + ext_carriers = ext_carriers[ext_carriers==True].reset_index() + ext_carriers= ext_carriers.drop_duplicates(subset='Carrier', keep='first').reset_index()[["Carrier", "Category"]] + + + ext_carriers.set_index("Category", inplace=True) + for tech in ["conventional", "renewables", "storage"]: + carriers["extendable"][tech] = list(ext_carriers.loc[tech].Carrier.unique()) if len(ext_carriers.loc[tech])>1 else ext_carriers.loc[tech].Carrier + + return carriers + + +def check_folder(path): + # Check if the folder exists, if not create the folder + if not os.path.exists(path): + os.makedirs(path) + print(f"Folder '{path}' created.") + + +def load_scenario_setup(scenarios_file, scenario): + scenario_setup = ( + pd.read_excel( + scenarios_file, + sheet_name="scenario_definition", + index_col=[0]) + .loc[scenario] + ) + return scenario_setup + + +# Temp PyPSA fix ahead of master +def single_year_network_copy( + n, + snapshots=None, + investment_periods=None, + ignore_standard_types=False, +): + """ + Returns a deep copy of the Network object with all components and time- + dependent data. + + Returns + -------- + network : pypsa.Network + + Parameters + ---------- + with_time : boolean, default True + Copy snapshots and time-varying network.component_names_t data too. + snapshots : list or index slice + A list of snapshots to copy, must be a subset of + network.snapshots, defaults to network.snapshots + ignore_standard_types : boolean, default False + Ignore the PyPSA standard types. + + Examples + -------- + >>> network_copy = network.copy() + """ + ( + override_components, + override_component_attrs, + ) = n._retrieve_overridden_components() + + network = n.__class__( + ignore_standard_types=ignore_standard_types, + override_components=override_components, + override_component_attrs=override_component_attrs, + ) + + other_comps = sorted(n.all_components - {"Bus", "Carrier"}) + for component in n.iterate_components(["Bus", "Carrier"] + other_comps): + df = component.df + # drop the standard types to avoid them being read in twice + if ( + not ignore_standard_types + and component.name in n.standard_type_components + ): + df = component.df.drop( + network.components[component.name]["standard_types"].index + ) + if investment_periods is not None: + df = df.loc[n.get_active_assets(component.name, investment_periods)] + import_components_from_dataframe(network, df, component.name) + + if snapshots is None: + snapshots = n.snapshots + if investment_periods is None: + investment_periods = n.investment_period_weightings.index + network.set_snapshots(snapshots) + if not investment_periods.empty: + network.set_investment_periods(investment_periods) + for component in n.iterate_components(): + pnl = getattr(network, component.list_name + "_t") + for k in component.pnl.keys(): + if component.name in ["Generator", "Link", "StorageUnit", "Store"]: + active = n.df(component.name)[n.get_active_assets(component.name, investment_periods)].index + active = component.pnl[k].columns.intersection(active) + pnl[k] = component.pnl[k].loc[snapshots,active].copy() + else: + pnl[k] = component.pnl[k].loc[snapshots].copy() + network.snapshot_weightings = n.snapshot_weightings.loc[snapshots].copy() + network.investment_period_weightings = ( + n.investment_period_weightings.loc[investment_periods].copy() + ) + + # catch all remaining attributes of network + for attr in ["name", "srid"]: + setattr(network, attr, getattr(n, attr)) + + return network + + + +# Not needed once PyPSA main is updated +def single_year_network_copy( + n, + snapshots=None, + investment_periods=None, + ignore_standard_types=False, +): + """ + Returns a deep copy of the Network object with all components and time- + dependent data. + + Returns + -------- + network : pypsa.Network + + Parameters + ---------- + with_time : boolean, default True + Copy snapshots and time-varying network.component_names_t data too. + snapshots : list or index slice + A list of snapshots to copy, must be a subset of + network.snapshots, defaults to network.snapshots + ignore_standard_types : boolean, default False + Ignore the PyPSA standard types. + + Examples + -------- + >>> network_copy = network.copy() + """ + ( + override_components, + override_component_attrs, + ) = n._retrieve_overridden_components() + + network = n.__class__( + ignore_standard_types=ignore_standard_types, + override_components=override_components, + override_component_attrs=override_component_attrs, + ) + + other_comps = sorted(n.all_components - {"Bus", "Carrier"}) + for component in n.iterate_components(["Bus", "Carrier"] + other_comps): + df = component.df + # drop the standard types to avoid them being read in twice + if ( + not ignore_standard_types + and component.name in n.standard_type_components + ): + df = component.df.drop( + network.components[component.name]["standard_types"].index + ) + if investment_periods is not None: + df = df.loc[n.get_active_assets(component.name, investment_periods)] + import_components_from_dataframe(network, df, component.name) + + if snapshots is None: + snapshots = n.snapshots + if investment_periods is None: + investment_periods = n.investment_period_weightings.index + network.set_snapshots(snapshots) + if not investment_periods.empty: + network.set_investment_periods(investment_periods) + for component in n.iterate_components(): + pnl = getattr(network, component.list_name + "_t") + for k in component.pnl.keys(): + if component.name in ["Generator", "Link", "StorageUnit", "Store"]: + active = n.df(component.name)[n.get_active_assets(component.name, investment_periods)].index + active = component.pnl[k].columns.intersection(active) + pnl[k] = component.pnl[k].loc[snapshots,active].copy() + else: + pnl[k] = component.pnl[k].loc[snapshots].copy() + network.snapshot_weightings = n.snapshot_weightings.loc[snapshots].copy() + network.investment_period_weightings = ( + n.investment_period_weightings.loc[investment_periods].copy() + ) + + # catch all remaining attributes of network + for attr in ["name", "srid"]: + setattr(network, attr, getattr(n, attr)) + + return network \ No newline at end of file diff --git a/scripts/add_electricity.py b/scripts/add_electricity.py old mode 100644 new mode 100755 index 25273c1..37d4c7e --- a/scripts/add_electricity.py +++ b/scripts/add_electricity.py @@ -1,350 +1,1276 @@ +# SPDX-FileCopyrightText: PyPSA-RSA, PyPSA-ZA, PyPSA-Earth and PyPSA-Eur Authors +# # SPDX-License-Identifier: MIT + # coding: utf-8 -import networkx as nx -import pandas as pd -import numpy as np -import scipy as sp -from operator import attrgetter -from six import string_types +""" +Adds fixed and extendable components to the base network. The primary functions run inside main are: + + attach_load + attach_fixed_generators + attach_extendable_generators + attach_fixed_storage + attach_extendable_storage + +Relevant Settings +----------------- + +.. code:: yaml + + costs: + year: + USD_to_ZAR: + EUR_to_ZAR: + marginal_cost: + dicountrate: + emission_prices: + load_shedding: + + electricity: + max_hours: + marginal_cost: + capital_cost: + conventional_carriers: + co2limit: + extendable_carriers: + include_renewable_capacities_from_OPSD: + estimate_renewable_capacities_from_capacity_stats: + + load: + scale: + ssp: + weather_year: + prediction_year: + region_load: + + renewable: + hydro: + carriers: + hydro_max_hours: + hydro_capital_cost: + + lines: + length_factor: + +.. seealso:: + Documentation of the configuration file ``config.yaml`` at :ref:`costs_cf`, + :ref:`electricity_cf`, :ref:`load_cf`, :ref:`renewable_cf`, :ref:`lines_cf` + +Inputs +------ +- ``model_file.xlsx``: The database to setup different scenarios based on cost assumptions for all included technologies for specific years from various sources; e.g. discount rate, lifetime, investment (CAPEX), fixed operation and maintenance (FOM), variable operation and maintenance (VOM), fuel costs, efficiency, carbon-dioxide intensity. +- ``data/Eskom EAF data.xlsx``: Hydropower plant store/discharge power capacities, energy storage capacity, and average hourly inflow by country. Not currently used! +- ``data/eskom_pu_profiles.csv``: alternative to capacities above; not currently used! +- ``data/bundle/SystemEnergy2009_22.csv`` Hourly country load profiles produced by GEGIS +- ``resources/regions_onshore.geojson``: confer :ref:`busregions` +- ``resources/gadm_shapes.geojson``: confer :ref:`shapes` +- ``data/bundle/supply_regions/{regions}.shp``: confer :ref:`powerplants` +- ``resources/profile_{}_{regions}_{resarea}.nc``: all technologies in ``config["renewables"].keys()``, confer :ref:`renewableprofiles`. +- ``networks/base_{model_file}_{regions}.nc``: confer :ref:`base` + +Outputs +------- + +- ``networks/elec_{model_file}_{regions}_{resarea}.nc``: + + .. image:: ../img/elec.png + :scale: 33 % + +Description +----------- + +The rule :mod:`add_electricity` ties all the different data inputs from the preceding rules together into a detailed PyPSA network that is stored in ``networks/elec.nc``. It includes: + +- today"s transmission topology and transfer capacities (in future, optionally including lines which are under construction according to the config settings ``lines: under_construction`` and ``links: under_construction``), +- today"s thermal and hydro power generation capacities (for the technologies listed in the config setting ``electricity: conventional_carriers``), and +- today"s load time-series (upsampled in a top-down approach according to population and gross domestic product) + +It further adds extendable ``generators`` with **zero** capacity for + +- photovoltaic, onshore and AC- as well as DC-connected offshore wind installations with today"s locational, hourly wind and solar capacity factors (but **no** current capacities), +- additional open- and combined-cycle gas turbines (if ``OCGT`` and/or ``CCGT`` is listed in the config setting ``electricity: extendable_carriers``) +""" -import rasterio -import fiona -import rasterstats import geopandas as gpd - -from shapely.geometry import Point -from vresutils.shapes import haversine -from vresutils.costdata import annuity - +import logging +logger = logging.getLogger(__name__) +import numpy as np +import pandas as pd import pypsa +from pypsa.descriptors import get_switchable_as_dense as get_as_dense, get_activity_mask +from pypsa.io import import_components_from_dataframe +import os +from shapely.geometry import Point +import xarray as xr +import warnings +warnings.simplefilter(action="ignore") # Comment out for debugging and development + + +from _helpers import ( + add_missing_carriers, + add_noise, + adjust_by_p_max_pu, + apply_default_attr, + convert_cost_units, + drop_non_pypsa_attrs, + get_carriers_from_model_file, + get_investment_periods, + get_snapshots, + get_start_year, + initial_ramp_rate_fix, + load_disaggregate, + map_component_parameters, + normed, + read_and_filter_generators, + remove_leap_day, + single_year_network_copy, + load_scenario_definition +) + +""" +******************************************************************************** + Cost related functions +******************************************************************************** +""" +def annualise_costs(investment, lifetime, discount_rate, FOM): + """ + Annualises the costs of an investment over its lifetime.The costs are annualised using the + Capital Recovery Factor (CRF) formula. + + Args: + - investment: The overnight investment cost. + - lifetime: The lifetime of the investment. + - discount_rate: The discount rate used for annualisation. + - FOM: The fixed operating and maintenance costs. + + Returns: + A Series containing the annualised costs. + """ + CRF = discount_rate / (1 - 1 / (1 + discount_rate) ** lifetime) + return (investment * CRF + FOM).fillna(0) + +def load_extendable_parameters(n, scenario_setup, snakemake): + """ + set all asset costs tab in the model file + """ + defaults = snakemake.config["electricity"]["extendable_parameters"]["defaults"] + + param_mapping = pd.read_excel( + os.path.join(scenario_setup["sub_path"],"extendable_technologies.xlsx"), + sheet_name = "parameter_mapping", + index_col = [0,1], + ).loc[scenario_setup["extendable_parameters"]] + + param_matrix = pd.read_excel( + os.path.join(scenario_setup["sub_path"],"extendable_technologies.xlsx"), + sheet_name = "parameters", + index_col = [0,2,1], + ).sort_index() + + param = pd.DataFrame(index = pd.MultiIndex.from_product([param_mapping.columns, param_mapping.index]), columns = param_matrix.columns) + + for idx in param.index: + mapping_ = param_mapping.loc[idx[1], idx[0]] + if pd.isna(mapping_): + # get default value from config file + param.loc[idx, :] = defaults[idx[0]] + else: + param.loc[idx, :] = param_matrix.loc[(mapping_, idx[0], idx[1]), :].values + + param.drop("source", axis=1, inplace=True) + + # Interpolate for years in config file but not in cost_data excel file + ext_years = get_investment_periods(n.snapshots, n.multi_invest) + ext_years_array = np.array(ext_years) + missing_year = ext_years_array[~np.isin(ext_years_array,param.columns)] + if len(missing_year) > 0: + for i in missing_year: + param.insert(0,i,np.nan) # add columns of missing year to dataframe + param_tmp = param.drop("unit", axis=1).sort_index(axis=1) + param_tmp = param_tmp.interpolate(axis=1) + param= pd.concat([param_tmp, param["unit"]], ignore_index=False, axis=1) + + # correct units to MW and ZAR + param_yr = param.columns.drop("unit") + + param = convert_cost_units(param, snakemake.config["costs"]["USD_to_ZAR"], snakemake.config["costs"]["EUR_to_ZAR"]) + + full_param = pd.DataFrame( + index = pd.MultiIndex.from_product( + [ + param.index.get_level_values(0).unique(), + param.index.get_level_values(1).unique()]), + columns = param.columns + ) + full_param.loc[param.index] = param.values + + # full_costs adds default values when missing from costs table + config_defaults = snakemake.config["electricity"]["extendable_parameters"]["defaults"] + for default in param.index.get_level_values(0).intersection(config_defaults.keys()): + full_param.loc[param.loc[(default, slice(None)),:].index, :] = param.loc[(default, slice(None)),:] + full_param.loc[(default, slice(None)), param_yr] = full_param.loc[(default, slice(None)), param_yr].fillna(config_defaults[default]) + #full_param = full_param.fillna("default") + param = full_param.copy() + + # Get entries where FOM is specified as % of CAPEX + fom_perc_capex=param.loc[param.unit.str.contains(r"\%capex/year") == True, param_yr] + fom_perc_capex_idx=fom_perc_capex.index.get_level_values(1) + + add_param = pd.DataFrame( + index = pd.MultiIndex.from_product([["capital_cost","marginal_cost"],param.loc["FOM"].index]), + columns = param.columns + ) + + param = pd.concat([param, add_param],axis=0) + param.loc[("FOM",fom_perc_capex_idx), param_yr] *= (param.loc[("investment", fom_perc_capex_idx),param_yr]).values/100.0 + param.loc[("FOM",fom_perc_capex_idx), "unit"] = param.loc[("investment", fom_perc_capex_idx),"unit"].values + + capital_costs = annualise_costs( + param.loc["investment", param_yr], + param.loc["lifetime", param_yr], + param.loc["discount_rate", param_yr], + param.loc["FOM", param_yr], + ) -from _helpers import pdbcast - -def normed(s): return s/s.sum() - - - -def _add_missing_carriers_from_costs(n, costs, carriers): - missing_carriers = pd.Index(carriers).difference(n.carriers.index) - emissions_cols = costs.columns.to_series().loc[lambda s: s.str.endswith('_emissions')].values - n.import_components_from_dataframe(costs.loc[missing_carriers, emissions_cols].fillna(0.), 'Carrier') - -def load_costs(): - costs = pd.read_excel(snakemake.input.tech_costs, - sheet_name=snakemake.wildcards.cost, - index_col=0).T - - discountrate = snakemake.config['costs']['discountrate'] - costs['capital_cost'] = ((annuity(costs.pop('Lifetime [a]'), discountrate) + - costs.pop('FOM [%/a]').fillna(0.) / 100.) - * costs.pop('Overnight cost [R/kW_el]')*1e3) + param.loc["capital_cost", param_yr] = capital_costs.fillna(0).values + param.loc["capital_cost","unit"] = "R/MWe" + + vom = param.loc["VOM", param_yr].fillna(0) + fuel = (param.loc["fuel", param_yr] / param.loc["efficiency", param_yr]).fillna(0) + + param.loc[("marginal_cost", vom.index), param_yr] = vom.values + param.loc[("marginal_cost", fuel.index), param_yr] += fuel.values + param.loc["marginal_cost","unit"] = "R/MWhe" + + #max_hours = snakemake.config["electricity"]["max_hours"] + #param.loc[("capital_cost","battery"), :] = param.loc[("capital_cost","battery inverter"),:] + #param.loc[("capital_cost","battery"), param_yr] += max_hours["battery"]*param.loc[("capital_cost", "battery storage"), param_yr] + + return param + +# def update_transmission_costs(n, costs, length_factor=1.0, simple_hvdc_costs=False): +# # Currently only average transmission costs are implemented +# n.lines["capital_cost"] = ( +# n.lines["length"] * length_factor * costs.loc[("capital_cost","HVAC_overhead"), costs.columns.drop("unit")].mean() +# ) + +# if n.links.empty: +# return + +# dc_b = n.links.carrier == "DC" +# # If there are no "DC" links, then the "underwater_fraction" column +# # may be missing. Therefore we have to return here. +# # TODO: Require fix +# if n.links.loc[n.links.carrier == "DC"].empty: +# return + +# if simple_hvdc_costs: +# hvdc_costs = ( +# n.links.loc[dc_b, "length"] +# * length_factor +# * costs.loc[("capital_cost","HVDC_overhead"),:].mean() +# ) +# else: +# hvdc_costs = ( +# n.links.loc[dc_b, "length"] +# * length_factor +# * ( +# (1.0 - n.links.loc[dc_b, "underwater_fraction"]) +# * costs.loc[("capital_cost","HVDC_overhead"),:].mean() +# + n.links.loc[dc_b, "underwater_fraction"] +# * costs.loc[("capital_cost","HVDC_submarine"),:].mean() +# ) +# + costs.loc[("capital_cost","HVDC inverter_pair"),:].mean() +# ) +# n.links.loc[dc_b, "capital_cost"] = hvdc_costs + + +""" +******************************************************************************** + Add load to the network +******************************************************************************** +""" + +def attach_load(n, scenario_setup): + """ + Attaches load to the network based on the provided annual demand. + Demand is disaggregated by the load_disaggreate function according to either population + or GVA (GDP) in each region. + + Args: + - n: The network object. + - annual_demand: A DataFrame containing the annual demand values. + + """ + + load = pd.read_csv(snakemake.input.load,index_col=[0],parse_dates=True) + + annual_load = ( + pd.read_excel( + os.path.join( + scenario_setup["sub_path"], + "annual_load.xlsx", + ), + sheet_name="annual_load", + index_col=[0], + ) + ).loc[scenario_setup["load_trajectory"]] + + annual_load = annual_load.drop(["unit","Source"]).T*1e6 + profile_load = normed(remove_leap_day(load.loc[str(snakemake.config["years"]["reference_load_year"]),"system_energy"])) + + if n.multi_invest: + load=pd.Series(0,index=n.snapshots) + for y in n.investment_periods: + load.loc[y]=profile_load.values*annual_load.loc[y] + else: + load = pd.Series(profile_load.values*annual_load[n.snapshots[0].year], index = n.snapshots) + + if len(n.buses) == 1: + n.add("Load", "RSA", + bus="RSA", + p_set=load) + else: + n.madd("Load", list(n.buses.index), + bus = list(n.buses.index), + p_set = load_disaggregate(load, normed(n.buses[snakemake.config["electricity"]["load_disaggregation"]]))) + + +""" +******************************************************************************** + Function to define p_max_pu and p_min_pu profiles +******************************************************************************** +""" +def init_pu_profiles(gens, snapshots): + pu_profiles = pd.DataFrame( + index = pd.MultiIndex.from_product( + [["max", "min"], snapshots], + names=["profile", "snapshots"] + ), + columns = gens.index + ) + pu_profiles.loc["max"] = 1 + pu_profiles.loc["min"] = 0 - costs['efficiency'] = costs.pop('Efficiency').fillna(1.) - costs['marginal_cost'] = (costs.pop('VOM [R/MWh_el]').fillna(0.) + - (costs.pop('Fuel cost [R/MWh_th]') / costs['efficiency']).fillna(0.)) + return pu_profiles - emissions_cols = costs.columns.to_series().loc[lambda s: s.str.endswith(' emissions [kg/MWh_th]')] - costs.loc[:, emissions_cols.index] = (costs.loc[:, emissions_cols.index]/1e3).fillna(0.) - costs = costs.rename(columns=emissions_cols.str[:-len(" [kg/MWh_th]")].str.lower().str.replace(' ', '_')) - for attr in ('marginal_cost', 'capital_cost'): - overwrites = snakemake.config['costs'].get(attr) - if overwrites is not None: - overwrites = pd.Series(overwrites) - costs.loc[overwrites.index, attr] = overwrites - - return costs - -# ## Attach components - -# ### Load - -def attach_load(n): - load = pd.read_csv(snakemake.input.load) - load = load.set_index( - pd.to_datetime(load['SETTLEMENT_DATE'] + ' ' + - load['PERIOD'].astype(str) + ':00') - .rename('t') - )['SYSTEMENERGY'] - - demand = (snakemake.config['electricity']['demand'] * - normed(load.loc[snakemake.config['historical_year']])) - n.madd("Load", n.buses.index, - bus=n.buses.index, - p_set=pdbcast(demand, normed(n.buses.population))) - -### Set line costs - -def update_transmission_costs(n, costs): - opts = snakemake.config['lines'] - for df in (n.lines, n.links): - if df.empty: continue - - df['capital_cost'] = (df['length'] / opts['s_nom_factor'] * - costs.at['Transmission lines', 'capital_cost']) - - -# ### Generators - -def attach_wind_and_solar(n, costs): - historical_year = snakemake.config['historical_year'] - capacity_per_sqm = snakemake.config['respotentials']['capacity_per_sqm'] - - ## Wind - - n.add("Carrier", name="Wind") - windarea = pd.read_csv(snakemake.input.wind_area, index_col=0).loc[lambda s: s.available_area > 0.] - windres = (pd.read_excel(snakemake.input.wind_profiles, - skiprows=[1], sheet_name='Wind power profiles') - .rename(columns={'supply area\'s name': 't'}).set_index('t') - .resample('1h').mean().loc[historical_year] - .reindex(columns=windarea.index) - .clip(lower=0., upper=1.)) - n.madd("Generator", windarea.index, suffix=" Wind", - bus=windarea.index, - carrier="Wind", - p_nom_extendable=True, - p_nom_max=windarea.available_area * capacity_per_sqm['wind'], - marginal_cost=costs.at['Wind', 'marginal_cost'], - capital_cost=costs.at['Wind', 'capital_cost'], - efficiency=costs.at['Wind', 'efficiency'], - p_max_pu=windres) - - ## PV - - n.add("Carrier", name="PV") - pvarea = pd.read_csv(snakemake.input.solar_area, index_col=0).loc[lambda s: s.available_area > 0.] - pvres = (pd.read_excel(snakemake.input.pv_profiles, - skiprows=[1], sheet_name='PV profiles') - .rename(columns={'supply area\'s name': 't'}) - .set_index('t') - .resample('1h').mean().loc[historical_year].reindex(n.snapshots, fill_value=0.) - .reindex(columns=pvarea.index) - .clip(lower=0., upper=1.)) - n.madd("Generator", pvarea.index, suffix=" PV", - bus=pvarea.index, - carrier="PV", - p_nom_extendable=True, - p_nom_max=pvarea.available_area * capacity_per_sqm['solar'], - marginal_cost=costs.at['PV', 'marginal_cost'], - capital_cost=costs.at['PV', 'capital_cost'], - efficiency=costs.at['PV', 'efficiency'], - p_max_pu=pvres) - - -# # Generators - - -def attach_existing_generators(n, costs): - historical_year = snakemake.config['historical_year'] - - ps_f = dict(efficiency="Pump Efficiency (%)", - pump_units="Pump Units", - pump_load="Pump Load per unit (MW)", - max_storage="Pumped Storage - Max Storage (GWh)") - - csp_f = dict(max_hours='CSP Storage (hours)') - - g_f = dict(fom="Fixed Operations and maintenance costs (R/kW/yr)", - p_nom='Installed/ Operational Capacity in 2016 (MW)', - name='Power Station Name', - carrier='Fuel/technology type', - decomdate='Decommissioning Date', - x='GPS Longitude', - y='GPS Latitude', - status='Status', - heat_rate='Heat Rate (GJ/MWh)', - fuel_price='Fuel Price (R/GJ)', - vom='Variable Operations and Maintenance Cost (R/MWh)', - max_ramp_up='Max Ramp Up (MW/min)', - unit_size='Unit size (MW)', - units='Number units', - maint_rate='Typical annual maintenance rate (%)', - out_rate='Typical annual forced outage rate (%)', - owner='Owner') - - gens = pd.read_excel(snakemake.input.existing_generators, na_values=['-']) - - # Make field "Fixed Operations and maintenance costs" numeric - includescapex_i = gens[g_f['fom']].str.endswith(' (includes capex)').dropna().index - gens.loc[includescapex_i, g_f['fom']] = gens.loc[includescapex_i, g_f['fom']].str[:-len(' (includes capex)')] - gens[g_f['fom']] = pd.to_numeric(gens[g_f['fom']]) - - - # Calculate fields where pypsa uses different conventions - gens['efficiency'] = 3.6/gens.pop(g_f['heat_rate']) - gens['marginal_cost'] = 3.6*gens.pop(g_f['fuel_price'])/gens['efficiency'] + gens.pop(g_f['vom']) - gens['capital_cost'] = 1e3*gens.pop(g_f['fom']) - gens['ramp_limit_up'] = 60*gens.pop(g_f['max_ramp_up'])/gens[g_f['p_nom']] - - year = snakemake.config['year'] - gens = (gens - # rename remaining fields - .rename(columns={g_f[f]: f - for f in {'p_nom', 'name', 'carrier', 'x', 'y'}}) - # remove all power plants decommissioned before 2030 - .loc[lambda df: ((pd.to_datetime(df[g_f['decomdate']].replace({'beyond 2050': np.nan}).dropna()) >= year) - .reindex(df.index, fill_value=True))] - # drop unused fields - .drop([g_f[f] for f in {'unit_size', 'units', 'maint_rate', - 'out_rate', 'decomdate', 'status'}], axis=1) - ).set_index('name') - - # CahoraBassa will be added later, even though we don't have coordinates - CahoraBassa = gens.loc["CahoraBassa"] - - # Drop power plants where we don't have coordinates or capacity - gens = pd.DataFrame(gens.loc[lambda df: (df.p_nom>0.) & df.x.notnull() & df.y.notnull()]) - - # Associate every generator with the bus of the region it is in or closest to - pos = gpd.GeoSeries([Point(o.x, o.y) for o in gens[['x', 'y']].itertuples()], index=gens.index) - - regions = gpd.read_file(snakemake.input.supply_regions).set_index('name') - - for bus, region in regions.geometry.iteritems(): - pos_at_bus_b = pos.within(region) - if pos_at_bus_b.any(): - gens.loc[pos_at_bus_b, "bus"] = bus - - gens.loc[gens.bus.isnull(), "bus"] = pos[gens.bus.isnull()].map(lambda p: regions.distance(p).idxmin()) - - CahoraBassa['bus'] = "POLOKWANE" - gens = gens.append(CahoraBassa) - - # Now we split them by carrier and have some more carrier specific cleaning - gens.carrier.replace({"Pumped Storage": "Pumped storage"}, inplace=True) - - # HYDRO - - n.add("Carrier", "Hydro") - n.add("Carrier", "Pumped storage") - - hydro = pd.DataFrame(gens.loc[gens.carrier.isin({'Pumped storage', 'Hydro'})]) - hydro["efficiency_store"] = hydro["efficiency_dispatch"] = np.sqrt(hydro.pop(ps_f['efficiency'])/100.).fillna(1.) +def extend_reference_data(n, ref_data, snapshots): - hydro["max_hours"] = 1e3*hydro.pop(ps_f["max_storage"])/hydro["p_nom"] + # delete data from years if all zeros + ref_data = ref_data.groupby(pd.Grouper(freq='Y')).filter(lambda x: not (x==0).all().all()) - hydro["p_min_pu"] = - (hydro.pop(ps_f["pump_load"]) * hydro.pop(ps_f["pump_units"]) / hydro["p_nom"]).fillna(0.) + ext_years = snapshots.year.unique() + if len(ref_data.shape) > 1: + extended_data = pd.DataFrame(0, index=snapshots, columns=ref_data.columns) + else: + extended_data = pd.Series(0, index=snapshots) + ref_years = ref_data.index.year.unique() + + for _ in range(int(np.ceil(len(ext_years) / len(ref_years)))-1): + ref_data = pd.concat([ref_data, ref_data],axis=0) + + extended_data.iloc[:] = ref_data.iloc[range(len(extended_data))].values + + return extended_data.clip(lower=0., upper=1.) + + +def get_eaf_profiles(snapshots, type): + + outages = pd.read_excel( + os.path.join(scenario_setup["sub_path"], "plant_availability.xlsx"), + sheet_name='outage_profiles', + index_col=[0,1,2], + header=[0,1], + ).loc[scenario_setup["outage_profiles"]] + outages = outages[type+"_generators"] + + def proc_outage(outages, _type, snapshots): + out_df = outages.loc[(_type, range(1,54)), :] + out_df.index = range(1,54) + std_dev = outages.loc[(_type, "std_dev_noise"),:] + + week_idx = snapshots.isocalendar().week # pandas ≥ 1.1, still valid in 2.x + eaf_hrly = out_df.loc[week_idx] + #eaf_hrly = out_df.loc[snapshots.week] + eaf_hrly.index = snapshots + + for col in eaf_hrly.columns: + eaf_hrly[col] = add_noise(eaf_hrly[col], std_dev[col], 48) + + return eaf_hrly + + pclf = proc_outage(outages, "planned", snapshots) + uoclf = proc_outage(outages, "unplanned", snapshots) + + + return 1- (pclf + uoclf) + +def clip_pu_profiles(n, pu, gen_list, lower=0, upper=1): + n.generators_t[pu] = n.generators_t[pu].copy() + n.generators_t[pu].loc[:, gen_list] = get_as_dense(n, "Generator", pu)[gen_list].clip(lower=lower, upper=upper) + + +def proj_eaf_override(eaf_hrly, snapshots, include = "_EAF", exclude = "extendable"): + """ + Overrides the hourly EAF (Energy Availability Factor) values with projected EAF values, if these are defined + under the project_parameters tab in the model_file.xlsx. Existing generators have suffix _EAF and extendable generators + have the suffix _extendable_EAF by convention. + + Args: + - eaf_hrly: A DataFrame containing the hourly EAF values. + - projections: A DataFrame containing the projected EAF values. + - snapshots: A Series containing the snapshots. + - include: A string used to filter the projections based on the index. + - exclude: A string used to exclude certain projections based on the index. + + Relevant model_file.xlsx settings: + project_parameters: parameters with _EAF or _extendable_EAF suffix + + """ + annual_avail = pd.read_excel( + os.path.join(scenario_setup["sub_path"], "plant_availability.xlsx"), + sheet_name='annual_availability', + index_col=[0,1], + ).loc[scenario_setup["annual_availability"]] + + eaf_yrly = eaf_hrly.groupby(eaf_hrly.index.year).mean() + proj_eaf = annual_avail.loc[(annual_avail.index.str.contains(include) & ~annual_avail.index.str.contains(exclude)), snapshots.year.unique()] + proj_eaf.index = proj_eaf.index.str.replace(include,"") + + # remove decom_stations + proj_eaf = proj_eaf[proj_eaf.index.isin(eaf_yrly.columns)] + scaling = proj_eaf.T.div(eaf_yrly[proj_eaf.index], axis="columns", level="year").fillna(1) + + for y in snapshots.year.unique(): + eaf_hrly.loc[str(y), scaling.columns] *= scaling.loc[y, :] + + return eaf_hrly + +def generate_eskom_re_profiles(n, carriers): + """ + Generates Eskom renewable energy profiles for the network, based on the Eskom Data Portal information, found under + https://www.eskom.co.za/dataportal/. Data is available from 2018 to 2023 for aggregate carriers (e.g. all solar_pv, biomass, hydro etc). + The user can specify whether to use this data under config.yaml. These Eskom profiles for biomass, hydro and hydro_import are used by default. + + Args: + - n: The PyPSA network object. + + Relevant config.yaml settings: + electricity: + renewable_generators: + carriers: + years: + reference_weather_years: + enable: + use_eskom_wind_solar + """ + ext_years = get_investment_periods(n.snapshots, n.multi_invest) + ref_years = snakemake.config["years"]["reference_weather_years"] + carriers = [elem for elem in carriers if not elem.startswith(("wind","solar_pv"))] + + eskom_data = ( + pd.read_csv( + snakemake.input.eskom_profiles,skiprows=[1], + index_col=0,parse_dates=True + ) + .resample("1h").mean() + ) - hydro = (hydro - .assign(p_max_pu=1.0, cyclic_state_of_charge=True) - .drop(list(csp_f.values()) + ['ramp_limit_up', 'efficiency'], axis=1)) + eskom_data = remove_leap_day(eskom_data) + eskom_profiles = pd.DataFrame(0, index=n.snapshots, columns=carriers) - hydro.max_hours.fillna(hydro.max_hours.mean(), inplace=True) + for carrier in carriers: + weather_years = ref_years[carrier].copy() + if n.multi_invest: + weather_years *= int(np.ceil(len(ext_years) / len(weather_years))) + + for cnt, y in enumerate(ext_years): + y = y if n.multi_invest else str(y) + eskom_profiles.loc[y, carrier] = (eskom_data.loc[str(weather_years[cnt]), carrier] + .clip(lower=0., upper=1.)).values + return eskom_profiles +def generate_fixed_wind_solar_profiles(n, gens, snapshots, carriers, pu_profiles): + """ + Generates fixed wind and solar PV profiles for the network based on timeseries data that is pre-calculated + and using the notebooks under resource_processing. Data is loaded from NetCDF format. + + + Args: + - n: The network object. + - gens: A DataFrame containing the generator information. + - snapshots: A Series containing the snapshots. + - pu_profiles: The DataFrame to store the pu profiles. + + """ + + #only select entries in carriers that start with wind or solar_pv + carriers = [elem for elem in carriers if elem.startswith(("wind","solar_pv"))] + config = snakemake.config["electricity"]["renewable_generators"] + ref_years = snakemake.config["years"]["reference_weather_years"] + for carrier in carriers: + if carrier not in ["solar_pv_rooftop", "wind_offshore"]: + base_carrier = "wind" if carrier.startswith("wind") else "solar_pv" + else: + base_carrier = carrier + + data = f"{carrier}_fixed_{config['resource_profiles']['datasets'][carrier]}" + pu= xr.open_dataarray(snakemake.input.renewable_profiles, group=data).sel(param="pu").to_pandas() + pu = remove_leap_day(pu) + pu = pu[pu.index.year.isin(ref_years[base_carrier])] + mapping = gens.loc[(gens["Model Key"] != np.nan) & (gens["carrier"] == carrier),"Model Key"] + mapping = pd.Series(mapping.index,index=mapping.values) + pu = pu[mapping.index] + pu.columns = mapping[pu.columns].values + pu = extend_reference_data(n, pu, snapshots) * (1-config["degradation_adj_capacity_factor"][carrier]) + pu_profiles.loc["max", pu.columns] = pu.values + pu_profiles.loc["min", pu.columns] = 0.98*pu.values # Existing REIPPP take or pay constraint (100% can cause instabilitites) + + return pu_profiles + + +def generate_extendable_wind_solar_profiles(n, gens, snapshots, carriers, pu_profiles): + carriers = [elem for elem in carriers if elem.startswith(("wind","solar_pv"))] + gens = gens.query("carrier == @carriers & p_nom_extendable") + + years = snapshots.year.unique() + config_datasets = snakemake.config["electricity"]["renewable_generators"]["resource_profiles"]["datasets"] + config = snakemake.config["electricity"]["renewable_generators"] + + def get_base_carrier(carrier): + return "wind" if carrier.startswith("wind") else "solar_pv" - hydro_inflow = pd.read_csv(snakemake.input.hydro_inflow, index_col=0, parse_dates=True).loc[historical_year] - hydro_za_b = (hydro.index.to_series() != 'CahoraBassa') - hydro_inflow_za = pd.DataFrame(hydro_inflow[['ZA']].values * normed(hydro.loc[hydro_za_b, 'p_nom'].values), - columns=hydro.index[hydro_za_b], index=hydro_inflow.index) - hydro_inflow_za['CahoraBassa'] = hydro.at['CahoraBassa', 'p_nom']/2187.*hydro_inflow['MZ'] + for carrier in carriers: + base_carrier = carrier if carrier in ["solar_pv_rooftop", "wind_offshore"] else get_base_carrier(carrier) + if len(n.buses) == 1: + config_profiles = config["resource_profiles"]["single_node_profiles"] + dataset = f"{base_carrier}_{config_profiles[carrier][0]}_{config_datasets[base_carrier]}" + bus_ref = config_profiles[carrier][1] + weights = config_profiles[carrier][2]/np.array(config_profiles[carrier][2]).sum() + if carrier == "wind_offshore": + data = xr.open_dataarray(snakemake.input.renewable_profiles, group=dataset).sel(bus=bus_ref, _type="floating", quantile=0.9).to_pandas() + else: + data = xr.open_dataarray(snakemake.input.renewable_profiles, group=dataset).sel(bus=bus_ref, intra_region=scenario_setup["resource_area"]).to_pandas() + else: + dataset = f"{base_carrier}_{len(n.buses)}_{config_datasets[base_carrier]}" + data = xr.open_dataarray(snakemake.input.renewable_profiles, group=dataset) + + for bus in n.buses.index: + pu_ref = data.sel(bus=bus, intra_region=scenario_setup["resource_area"]).to_pandas() if len(n.buses)!=1 else data.dot(weights) + pu_ref = pu_ref[pu_ref.index.year.isin(snakemake.config["years"]["reference_weather_years"][base_carrier])] + pu_ref = remove_leap_day(pu_ref) + pu = pu_ref.copy() + for y in years: + pu.name = f"{bus}-{carrier}-{y}" + pu_profiles.loc["max", pu.name] = extend_reference_data(n, pu, snapshots).values * (1 - config["degradation_adj_capacity_factor"][carrier]) + + return pu_profiles + +def generate_rmippp_profiles(gens, pu_profiles): + gen_list = gens[gens.carrier=="rmippp"].index + pu_profiles.loc[("max", slice(None)), gen_list] = 1 + pu_profiles.loc[("max", pu_profiles.index.get_level_values(1).hour<5), gen_list] = 0 + pu_profiles.loc[("max", pu_profiles.index.get_level_values(1).hour>21), gen_list] = 0 + return pu_profiles + +def group_pu_profiles(pu_profiles, component_df): + years = pu_profiles.index.get_level_values(1).year.unique() + p_nom_pu = pd.DataFrame(1, index = pu_profiles.loc["max"].index, columns = []) + pu_mul_p_nom = pu_profiles * component_df["p_nom"] + + filtered_df = component_df[component_df["apply_grouping"]].copy().fillna(0) + + for bus in filtered_df.bus.unique(): + for carrier in filtered_df.carrier.unique(): + carrier_list = filtered_df[(filtered_df["carrier"] == carrier) & (filtered_df["bus"] == bus)].index + + for y in years: + active = carrier_list[(component_df.loc[carrier_list, ["build_year", "lifetime"]].sum(axis=1) >= y) & (component_df.loc[carrier_list, "build_year"] <= y)] + if len(active)>0: + key_list = filtered_df.loc[active, "Grouping"] + for key in key_list.unique(): + active_key = active[filtered_df.loc[active, "Grouping"] == key] + init_active_key = carrier_list[filtered_df.loc[carrier_list, "Grouping"] == key] + pu_profiles.loc[(slice(None), str(y)), bus + "-" + carrier + "_" + key] = pu_mul_p_nom.loc[(slice(None), str(y)), active_key].sum(axis=1) / component_df.loc[init_active_key, "p_nom"].sum() + p_nom_pu.loc[str(y), bus + "-" + carrier + "_" + key] = component_df.loc[active_key, "p_nom"].sum() / component_df.loc[init_active_key, "p_nom"].sum() + pu_profiles.drop(columns = carrier_list, inplace=True) + + return pu_profiles.fillna(0), p_nom_pu.fillna(0) # TODO check .fillna(0) doesn't make ramp_rate infeasible on p_max_pu + +""" +******************************************************************************** + Functions to define and attach generators to the network +******************************************************************************** +""" +def load_fixed_components(carriers, start_year, config, tech_flag): + """ + Load components from a model file based on specified filters and configurations. + + Args: + model_file: The file path to the model file. + scenario_setup: The model setup object. + carriers: A list of carriers to filter the generators. + start_year: The start year for the components. + config: A dictionary containing configuration settings. + + Returns: + A DataFrame containing the loaded components. + """ + + component_file = os.path.join(scenario_setup["sub_path"], "fixed_technologies.xlsx") + if tech_flag == "Generator": + conv_tech = read_and_filter_generators(component_file, "conventional", scenario_setup["fixed_conventional"], carriers) + re_tech = read_and_filter_generators(component_file, "renewables", scenario_setup["fixed_renewables"], carriers) + + conv_tech["apply_grouping"] = config["conventional_generators"]["apply_grouping"] + conv_tech["Type"], conv_tech["Status"] = "Generator", "fixed" + + re_tech["apply_grouping"] = config["renewable_generators"]["apply_grouping"] + re_tech.set_index((re_tech["Model Key"] + "_" + re_tech["Carrier"]).values,inplace=True) + re_tech["Type"], re_tech["Status"] = "Generator", "fixed" + + tech= pd.concat([conv_tech, re_tech]) + + else: + tech = read_and_filter_generators(component_file, "storage", scenario_setup["fixed_storage"], carriers) + tech["apply_grouping"] = config["storage"]["apply_grouping"] + tech["Type"], tech["Status"] = "StorageUnit", "fixed" + + tech = map_component_parameters(tech, start_year,tech_flag) + tech = tech.query("(p_nom > 0) & x.notnull() & y.notnull() & (lifetime >= 0)") + + return tech + +def map_components_to_buses(component_df, regions, crs_config): + """ + Associate every generator/storage_unit with the bus of the region based on GPS coords. + + Args: + component_df: A DataFrame containing generator/storage_unit data. + regions: The file path to the regions shapefile. + crs_config: A dictionary containing coordinate reference system configurations. + + Returns: + A DataFrame with the generators associated with their respective bus. + """ + + regions_gdf = gpd.read_file(regions).to_crs(snakemake.config["gis"]["crs"]["distance_crs"]).set_index("name") + gps_gdf = gpd.GeoDataFrame( + geometry=gpd.GeoSeries([Point(o.x, o.y) for o in component_df[["x", "y"]].itertuples()], + index=component_df.index, + crs=crs_config["geo_crs"] + ).to_crs(crs_config["distance_crs"])) + joined = gpd.sjoin(gps_gdf, regions_gdf, how="left", predicate="within") + component_df["bus"] = joined.name.copy() + + if empty_bus := list(component_df[~component_df["bus"].notnull()].index): + logger.warning(f"Dropping generators/storage units with no bus assignment {empty_bus}") + component_df = component_df[component_df["bus"].notnull()] + + return component_df + + +def group_components(component_df, attrs): + """ + Apply grouping of similar carrier if specified in snakemake config. + + Args: + component_df: A DataFrame containing generator/storage_unit data. + + Returns: + A tuple containing two DataFrames: grouped_df, non_grouped_df + """ + + params = ["bus", "carrier", "lifetime", "build_year", "p_nom", "efficiency", "ramp_limit_up", "ramp_limit_down", "marginal_cost", "capital_cost"] + uc_params = ["ramp_limit_start_up","ramp_limit_shut_down", "start_up_cost", "shut_down_cost", "min_up_time", "min_down_time"] #,"p_min_pu"] + params += uc_params + param_cols = [p for p in params if p not in ["bus","carrier","p_nom"]] + + filtered_df = component_df.query("apply_grouping").copy().fillna(0)#[component_df["apply_grouping"]].copy().fillna(0) + + if len(filtered_df) > 0: + grouped_df = pd.DataFrame(index=filtered_df.groupby(["Grouping", "carrier", "bus"]).sum().index, columns = param_cols) + grouped_df["p_nom"] = filtered_df.groupby(["Grouping", "carrier", "bus"]).sum()["p_nom"] + grouped_df["build_year"] = filtered_df.groupby(["Grouping", "carrier", "bus"]).min()["build_year"] + grouped_df["lifetime"] = filtered_df.groupby(["Grouping", "carrier", "bus"]).max()["lifetime"] + + # calculate weighted average of remaining parameters in gens dataframe + for param in [p for p in params if p not in ["bus","carrier","p_nom", "lifetime", "build_year"]]: + weighted_sum = filtered_df.groupby(["Grouping", "carrier", "bus"]).apply(lambda x: (x[param] * x["p_nom"]).sum()) + total_p_nom = filtered_df.groupby(["Grouping", "carrier", "bus"])["p_nom"].sum() + weighted_average = weighted_sum / total_p_nom + grouped_df.loc[weighted_average.index, param] = weighted_average.values + + rename_idx = grouped_df.index.get_level_values(2) + "-" + grouped_df.index.get_level_values(1) + "_" + grouped_df.index.get_level_values(0) + grouped_df = grouped_df.reset_index(level=[1,2]).replace(0, np.nan).set_index(rename_idx) + else: + grouped_df = pd.DataFrame(columns=params) + + non_grouped_df = component_df[~component_df["apply_grouping"]][params].copy() + # Fill missing values with default values (excluding defaults that are NaN) + grouped_df = apply_default_attr(grouped_df, attrs) + non_grouped_df = apply_default_attr(non_grouped_df, attrs) + + return grouped_df, non_grouped_df + +def attach_fixed_generators(n, carriers): + + # setup carrier info + gen_attrs = n.component_attrs["Generator"] + conv_carriers = carriers["fixed"]["conventional"] + re_carriers = carriers["fixed"]["renewables"] + carriers = conv_carriers + re_carriers + + start_year = get_start_year(n.snapshots, n.multi_invest) + snapshots = get_snapshots(n.snapshots, n.multi_invest) + + # load generators from model file + gens = load_fixed_components(carriers, start_year, snakemake.config["electricity"], "Generator") + gens = map_components_to_buses(gens, snakemake.input.supply_regions, snakemake.config["gis"]["crs"]) + pu_profiles = init_pu_profiles(gens, snapshots) + + unique_entries = set() + coal_gens = [unique_entries.add(g.split("*")[0]) or g.split("*")[0] for g in gens[gens.carrier == 'coal'].index if g.split("*")[0] not in unique_entries] + conv_pu = get_eaf_profiles(snapshots, "fixed") + + not_in_pu = [g for g in coal_gens if g not in conv_pu.columns] + conv_pu[not_in_pu] = 1 + conv_pu = proj_eaf_override(conv_pu, snapshots, include = "_EAF", exclude = "extendable") + + # Copy pu_profiles max to conv_pu + common_gens = [g for g in conv_pu.columns if g in pu_profiles.loc["max"].columns] + pu_profiles.loc["max", common_gens] = conv_pu[common_gens].values + + split_gens = [g for g in gens.index if "*" in g] + for gen in split_gens: + station = gen.split("*")[0] + pu_profiles.loc["max", gen] = conv_pu[station].values + + # eskom_carriers = [carrier for carrier in conv_carriers if carrier not in ["nuclear", "hydro", "hydro_import"]] + # for col in gens.query("Grouping == 'eskom' & carrier in @eskom_carriers").index: + # pu_profiles.loc["max", col] = conv_pu[col.split("*")[0]].values + + + #rmippp_constraints(n, n.snapshots) + + # Hourly data from Eskom data portal + eskom_re_pu = generate_eskom_re_profiles(n, re_carriers) + eskom_re_carriers = eskom_re_pu.columns + for col in gens.query("carrier in @eskom_re_carriers").index: + pu_profiles.loc["max", col] = eskom_re_pu[gens.loc[col, "carrier"]].values + pu_profiles.loc["min", col] = eskom_re_pu[gens.loc[col, "carrier"]].values + + # Wind and solar profiles if not using Eskom data portal + pu_profiles = generate_fixed_wind_solar_profiles(n, gens, snapshots, re_carriers, pu_profiles) + + # Add specific dispatch profile to RMIPPP generators + pu_profiles = generate_rmippp_profiles(gens, pu_profiles) + pu_profiles, p_nom_pu = group_pu_profiles(pu_profiles, gens) #includes both grouped an non-grouped generators + grouped_gens, non_grouped_gens = group_components(gens, gen_attrs) + grouped_gens["p_nom_extendable"] = False + non_grouped_gens["p_nom_extendable"] = False + + n.import_components_from_dataframe(drop_non_pypsa_attrs(n, "Generator", non_grouped_gens), "Generator") + n.import_components_from_dataframe(drop_non_pypsa_attrs(n, "Generator", grouped_gens), "Generator") + + pu_max, pu_min = pu_profiles.loc["max"], pu_profiles.loc["min"] + pu_max.index, pu_min.index, p_nom_pu.index = n.snapshots, n.snapshots, n.snapshots + + n.generators_t.p_nom_pu = p_nom_pu + n.generators_t.p_max_pu = pu_max.clip(lower=0.0, upper=1.0) + n.generators_t.p_min_pu = pu_min.clip(lower=0.0, upper=1.0) + + #for carrier, value in snakemake.config["electricity"]["min_hourly_station_gen"]["fixed"].items(): + # clip_pu_profiles(n, "p_min_pu", n.generators.query("carrier == @carrier & p_nom_extendable == False").index, lower=value, upper=1.0) + +# def extendable_max_build_per_bus_per_carrier(): + +# ext_max_build = ( +# pd.read_excel( +# model_file, +# sheet_name='ext_max_total', +# index_col=[0,1,2,3,4]) +# ).loc[scenario_setup] +# ext_max_build.replace("unc", np.inf, inplace=True) + +# return ext_max_build.loc[snakemake.wildcards.regions] + +def define_extendable_tech(carriers, years, type_, ext_param): + + ext_max_build = pd.read_excel( + os.path.join(scenario_setup["sub_path"],"extendable_technologies.xlsx"), + sheet_name='max_total_installed', + index_col= [0,1,3,2,4], + ).loc[(scenario_setup["extendable_max_total"], scenario_setup["regions"], type_, slice(None)), years] + + ext_max_build.replace("unc", np.inf, inplace=True) + ext_max_build.index = ext_max_build.index.droplevel([0, 1, 2]) + ext_max_build = ext_max_build.loc[~(ext_max_build==0).all(axis=1)] + + # Drop extendable techs that are not defined as eligible carriers in ext_techs tab + if type_ == "Generator": + eligible_carriers = carriers['extendable']['conventional'] + carriers['extendable']['renewables'] + elif type_ == "StorageUnit": + eligible_carriers = carriers['extendable']['storage'] + idx = [(bus, c) for (bus, c) in ext_max_build.index if c in eligible_carriers] + ext_max_build = ext_max_build.loc[idx] + + + carrier_names = ext_max_build.index.get_level_values(1) + if bad_name := list(carrier_names[carrier_names.str.contains("-")]): + logger.warning(f"Carrier names in extendable_max_build sheet must not contain the character '-'. The following carriers will be ignored: {bad_name}") + ext_max_build = ext_max_build[~carrier_names.str.contains("-")] + + carrier_names = ext_max_build.index.get_level_values(1) + if bad_name := list(carrier_names[~carrier_names.isin(ext_param.index.get_level_values(1))]): + logger.warning(f"Carrier names in extendable_max_build sheet must be in the extendable_paramaters sheet. The following carriers will be ignored: {bad_name}") + ext_max_build = ext_max_build[carrier_names.isin(ext_param.index.get_level_values(1))] + + return ( + ext_max_build[ext_max_build != 0].stack().index.to_series().apply(lambda x: "-".join([x[0], x[1], str(x[2])])) + ).values + + +def attach_extendable_generators(n, carriers): + gen_attrs = n.component_attrs["Generator"] + config = snakemake.config["electricity"] + + conv_carriers = carriers["extendable"]["conventional"] + re_carriers = carriers["extendable"]["renewables"] + + ext_years = get_investment_periods(n.snapshots, n.multi_invest) + snapshots = get_snapshots(n.snapshots, n.multi_invest) + + ext_param = load_extendable_parameters(n, scenario_setup, snakemake) + ext_gens_list = define_extendable_tech(carriers, ext_years, "Generator", ext_param) + gens = set_extendable_params("Generator", ext_gens_list, ext_param) + gens = set_annual_build_limits(gens, ext_years, "Generator") + + pu_profiles = init_pu_profiles(gens, snapshots) + + # Monthly average EAF for conventional plants from Eskom + conv_pu = get_eaf_profiles(snapshots, "extendable") + conv_pu = proj_eaf_override(conv_pu, snapshots, include = "_extendable_EAF", exclude = "NA") + + for col in gens.query("carrier in @conv_carriers & p_nom_extendable == True").index: + pu_profiles.loc["max", col] = conv_pu[col.split("-")[1]].values + + # Hourly data from Eskom data portal + eskom_ref_re_pu = generate_eskom_re_profiles(n, re_carriers) + eskom_ref_re_carriers = [carrier for carrier in eskom_ref_re_pu.columns if carrier in n.generators.carrier.unique()]# and carrier not in committable_carriers + + for col in gens.query("carrier in @eskom_ref_re_carriers & p_nom_extendable == True").index: + pu_profiles.loc["max", col] = eskom_ref_re_pu[gens.loc[col, "carrier"]].values + + + pu_profiles = generate_extendable_wind_solar_profiles(n, gens, snapshots, re_carriers, pu_profiles) + + gens = drop_non_pypsa_attrs(n, "Generator", gens) + n.import_components_from_dataframe(gens, "Generator") + n.generators["plant_name"] = n.generators.index.str.split("*").str[0] + + in_network = [g for g in pu_profiles.columns if g in n.generators.index] + + pu_max, pu_min = pu_profiles.loc["max", in_network], pu_profiles.loc["min", in_network] + pu_max.index, pu_min.index = n.snapshots, n.snapshots + n.generators_t.p_max_pu.loc[:, in_network] = pu_max.loc[:, in_network].clip(lower=0.0, upper=1.0) + n.generators_t.p_min_pu.loc[:, in_network] = pu_min.loc[:, in_network].clip(lower=0.0, upper=1.0) + + #for carrier, value in snakemake.config["electricity"]["min_hourly_station_gen"]["fixed"].items(): + # clip_pu_profiles(n, "p_min_pu", n.generators.query("carrier == @carrier & p_nom_extendable").index, lower=value, upper=1.0) + + +def set_annual_build_limits(techs, ext_years, component): + + default_lim = {"max":np.inf,"min":0} + for lim in ['max',"min"]: + annual_limit = pd.read_excel( + os.path.join(scenario_setup["sub_path"], "extendable_technologies.xlsx"), + sheet_name = f"{lim}_annual_installed", + index_col = [0,1,2,3,4,5], + ).loc[(scenario_setup[f"extendable_{lim}_annual"], scenario_setup["regions"]),:].droplevel(3) + if component in annual_limit.index.get_level_values(1): + if lim =="max": + annual_limit.replace('unc', np.inf, inplace=True) + + # get bus and carriers + bus_list = techs.bus.unique() + carrier_list = techs.carrier.unique() + + bus_list = [bus for bus in techs.bus.unique() if bus in annual_limit.index.get_level_values(0)] + carrier_list = [carrier for carrier in techs.carrier.unique() if carrier in annual_limit.index.get_level_values(2)] + + #check intersection between carrier_list and annual_limit_max.index.get_level + for bus in bus_list: + limit = annual_limit.loc[bus, component] + for carrier in carrier_list: + for year in ext_years: + if (f"{bus}-{carrier}-{year}" in techs.index) and (carrier in limit.index): + if (lim=="max") & (limit.loc[carrier, year]==0): + techs.drop(f"{bus}-{carrier}-{year}", inplace=True) + else: + techs.loc[f"{bus}-{carrier}-{year}", f"p_nom_{lim}"] = limit.loc[carrier, year] + + techs[f"p_nom_{lim}"].fillna(default_lim[lim], inplace=True) + return techs + +def set_extendable_params(c, bus_carrier_years, ext_param, **config): + + if len(bus_carrier_years)==0: + return + + default_param = [ + "bus", + "p_nom_extendable", + "carrier", + "build_year", + "lifetime", + "capital_cost", + "marginal_cost", + "ramp_limit_up", + "ramp_limit_down", + "efficiency", + ] + uc_param = [ + "ramp_limit_start_up", + "ramp_limit_shut_down", + "min_up_time", + "min_down_time", + "start_up_cost", + "shut_down_cost", + ] + + + if c == "StorageUnit": + default_param += ["max_hours", "efficiency_store", "efficiency_dispatch"] + + default_col = [p for p in default_param if p not in ["bus", "carrier", "build_year", "p_nom_extendable", "efficiency_store", "efficiency_dispatch"]] + + component_df = pd.DataFrame(index = bus_carrier_years, columns = default_param) + component_df["p_nom_extendable"] = True + component_df["p_nom"] = 0 + component_df["bus"] = component_df.index.str.split("-").str[0] + component_df["carrier"] = component_df.index.str.split("-").str[1] + component_df["build_year"] = component_df.index.str.split("-").str[2].astype(int) + + if c == "Generator": + component_df = pd.concat([component_df, pd.DataFrame(index = bus_carrier_years, columns = uc_param)],axis=1) + for param in default_col + uc_param: + component_df[param] = component_df.apply(lambda row: ext_param.loc[(param, row["carrier"]), row["build_year"]], axis=1) + component_df = apply_default_attr(component_df, n.component_attrs[c]) + elif c == "StorageUnit": + for param in default_col: + component_df[param] = component_df.apply(lambda row: ext_param.loc[(param, row["carrier"]), row["build_year"]], axis=1) + + component_df["cyclic_state_of_charge"] = True + component_df["cyclic_state_of_charge_per_period"] = True + component_df["efficiency_store"] = component_df["efficiency"]**0.5 + component_df["efficiency_dispatch"] = component_df["efficiency"]**0.5 + component_df = component_df.drop("efficiency", axis=1) + + return component_df + + +def apply_extendable_phase_in(n): + param = load_extendable_parameters(n, scenario_setup, snakemake).loc["build_phase_in"] + pu_max = get_as_dense(n, "Generator", "p_max_pu") + ext_i = n.generators.query("p_nom_extendable").index + + phase_in = pd.DataFrame(1, index =range(8760), columns = ["overnight", "linear", "quarterly"]) + phase_in.loc[:, "linear"] = np.round(np.arange(0, 1, 1/8760),3) + phase_in.loc[:2190, "quarterly"] = 0.25 + phase_in.loc[2190:4380, "quarterly"] = 0.5 + phase_in.loc[4380:6570, "quarterly"] = 0.75 + + for gen in ext_i: + build_year = n.generators.loc[gen, "build_year"] + method = param.loc[gen.split('-')[1], build_year] + phasing = phase_in[method] + if method not in ["overnight", "linear", "quarterly"]: + raise ValueError(f"Invalid method for phase-in of extendable generators: {method}. Choose from 'overnight', 'linear' or 'quarterly'.") + + if method != "overnight": + n.generators.loc[gen, "lifetime"] += 1 + + gen_pu_max = pu_max[gen] + build_year_level = [build_year] * len(gen_pu_max.loc[build_year].index) + phasing.index = pd.MultiIndex.from_arrays([build_year_level, gen_pu_max.loc[build_year].index]) + + gen_pu_max.loc[pd.IndexSlice[gen_pu_max.index.get_level_values(0) < build_year]] = 0 + gen_pu_max.loc[build_year] = gen_pu_max.loc[build_year] * phasing + + n.generators_t.p_max_pu.loc[:, gen] = gen_pu_max.values + + +def adjust_for_variable_fuel_costs(n): + param = load_extendable_parameters(n, scenario_setup, snakemake) + # check if any variation in marginal cost across years + variable_fuel_cost = param.loc["fuel", n.investment_periods] + variable_fuel_cost = variable_fuel_cost[variable_fuel_cost.mean(axis=1) != variable_fuel_cost.iloc[:, 0]] + + gen_list = n.generators.query("carrier in @variable_fuel_cost.index").index + marginal_cost = pd.DataFrame(index = n.snapshots, columns = gen_list) + for carrier in variable_fuel_cost.index: + for gen in n.generators.query("carrier == @carrier").index: + cost = variable_fuel_cost.loc[carrier] / n.generators.loc[gen, "efficiency"] + param.loc[("VOM", carrier), n.investment_periods] + for y in n.investment_periods: + marginal_cost.loc[y, gen_list] = cost.loc[y] + n.generators.marginal_cost[gen] = 0 + n.generators_t.marginal_cost[gen] = marginal_cost[gen] + +def set_hourly_coal_generation_threshold(n): + if scenario_setup["min_station_hourly"] in ["NA", "None", "none"]: + return + + min_pu_override = ( + pd.read_excel( + os.path.join(scenario_setup["sub_path"],"plant_availability.xlsx"), + sheet_name="min_station_hrly_cap_fact", + index_col=[0,1]) + .loc[scenario_setup["min_station_hourly"]] + ) + carrier_list = list(min_pu_override.index) + + n.generators_t.p_min_pu = n.generators_t.p_min_pu.copy() + for carrier in carrier_list: + gen_list = n.generators.query("carrier == @carrier").index + for y in n.investment_periods: + n.generators_t.p_min_pu.loc[y, gen_list] = get_as_dense(n, "Generator", "p_min_pu")[gen_list].clip(lower=min_pu_override.loc[carrier, y]) + +""" +******************************************************************************** + Functions to define and attach storage units to the network +******************************************************************************** +""" +def attach_fixed_storage(n, carriers): + carriers = carriers["fixed"]["storage"] + start_year = get_start_year(n.snapshots, n.multi_invest) + + storage = load_fixed_components(carriers, start_year, snakemake.config["electricity"], "StorageUnit") + storage = map_components_to_buses(storage, snakemake.input.supply_regions, snakemake.config["gis"]["crs"]) + + storage["efficiency_store"] = storage["efficiency"]**0.5 + storage["efficiency_dispatch"] = storage["efficiency"]**0.5 + storage["cyclic_state_of_charge"], storage["p_nom_extendable"] = True, False + storage["p_min_pu"] = -1 + + storage = drop_non_pypsa_attrs(n, "StorageUnit", storage) + n.import_components_from_dataframe(storage, "StorageUnit") + +def attach_extendable_storage(n, carriers): + st_carriers = carriers["extendable"]["storage"] + config = snakemake.config["electricity"] + ext_years = get_investment_periods(n.snapshots, n.multi_invest) + ext_param = load_extendable_parameters(n, scenario_setup, snakemake) + ext_storage_list = define_extendable_tech(carriers, ext_years, "StorageUnit", ext_param) + storage = set_extendable_params("StorageUnit", ext_storage_list, ext_param, **config) + storage = set_annual_build_limits(storage, ext_years, "StorageUnit") + if len(ext_storage_list): + storage = drop_non_pypsa_attrs(n, "StorageUnit", storage) + n.import_components_from_dataframe(storage, "StorageUnit") + +""" +******************************************************************************** + Transmission network functions +******************************************************************************** +""" + +# def convert_lines_to_links(n): +# """ +# Convert AC lines to DC links for multi-decade optimisation with line +# expansion. + +# Losses of DC links are assumed to be 3% per 1000km +# """ +# years = get_investment_periods(n.snapshots, n.multi_invest) + +# logger.info("Convert AC lines to DC links to perform multi-decade optimisation.") +# extendable = False +# p_nom = n.lines.s_nom + +# for y in years: +# n.madd( +# "Link", +# n.lines.index + "_" + str(y), +# bus0 = n.lines.bus0, +# bus1 = n.lines.bus1, +# p_nom = p_nom, +# p_nom_min = n.lines.s_nom, +# p_min_pu = -1, +# lifetime = 100, +# efficiency = 1 - 0.03 * n.lines.length / 1000, +# marginal_cost = 0, +# length = n.lines.length, +# capital_cost = n.lines.capital_cost, +# p_nom_extendable = extendable, +# ) +# if y == years[0]: +# extendable = True +# p_nom = 0 + +# # Remove AC lines +# logger.info("Removing AC lines") +# lines_rm = n.lines.index +# n.mremove("Line", lines_rm) + + + +""" +******************************************************************************** + Other functions +******************************************************************************** +""" + + +def check_pu_profiles(clean_flag): + p_max_pu = get_as_dense(n, "Generator", "p_max_pu") + p_min_pu = get_as_dense(n, "Generator", "p_min_pu") + + errors = p_max_pu < p_min_pu + error_lst = errors.any() + if errors.any().any() and not clean_flag: + raise ValueError( + f'Some generators have p_max_pu < p_min_pu in some hours. This will cause the problem to be infeasible.\nEither set clean_pu_profiles under config to True or correct input assumptions. Errors can be found in the follwing generators:\n{error_lst[error_lst].index}' + ) + elif errors.any().any() and clean_flag: + logging.info(f"Adjusting by p_max_pu for {error_lst[error_lst].index}") + n.generators_t.p_max_pu = p_max_pu.where(~errors, p_min_pu) + + +def add_carrier_emissions(n): + + emissions = ( + pd.read_excel( + model_file, + sheet_name='emissions', + index_col=[0,1]) + ) + co2_emissions = emissions.loc["co2_emissions"] + + n.madd( + "Carrier", + co2_emissions.index, + co2_emissions = co2_emissions["Value"], + ) + +def add_nice_carrier_names(n): + + carrier_i = n.carriers.index + nice_names = ( + pd.Series(snakemake.config["plotting"]["nice_names"]) + .reindex(carrier_i) + .fillna(carrier_i.to_series().str.title()) + ) + n.carriers["nice_name"] = nice_names + colors = pd.Series(snakemake.config["plotting"]["tech_colors"]).reindex(carrier_i) + if colors.isna().any(): + missing_i = list(colors.index[colors.isna()]) + logger.warning( + f"tech_colors for carriers {missing_i} not defined " "in config." + ) + n.carriers["color"] = colors + + +def add_load_shedding(n, cost): + n.add("Carrier", "load_shedding") + buses_i = n.buses.index + n.madd( + "Generator", + buses_i, + "_load_shedding", + bus = buses_i, + p_nom = 1e6, # MW + carrier = "load_shedding", + build_year = get_start_year(n.snapshots, n.multi_invest), + lifetime = 100, + marginal_cost = cost, + ) - hydro.marginal_cost.fillna(0., inplace=True) - n.import_components_from_dataframe(hydro, "StorageUnit") - n.import_series_from_dataframe(hydro_inflow_za, "StorageUnit", "inflow") - if snakemake.config['electricity'].get('csp'): - n.add("Carrier", "CSP") +""" +******************************************************************************** + MAIN +******************************************************************************** +""" - csp = (pd.DataFrame(gens.loc[gens.carrier == "CSP"]) - .drop(list(ps_f.values()) + ["ramp_limit_up", "efficiency"], axis=1) - .rename(columns={csp_f['max_hours']: 'max_hours'})) - # TODO add to network with time-series and everything +if __name__ == "__main__": + if "snakemake" not in globals(): + from _helpers import mock_snakemake + snakemake = mock_snakemake( + "add_electricity", + **{ + "model_type":"capacity", + "scenario":"IRP_REF_CI", + } + ) + + scenario_path = snakemake.output[0].split("capacity")[0] + if not os.path.exists(scenario_path): + os.makedirs(scenario_path) + + #configure_logging(snakemake, skip_handlers=False) + logging.basicConfig( + level=logging.INFO, + format='%(levelname)s: %(asctime)s: %(message)s', + datefmt='%Y-%m-%d %H:%M:%S' + ) - gens = (gens.loc[gens.carrier.isin({"Coal", "Nuclear"})] - .drop(list(ps_f.values()) + list(csp_f.values()), axis=1)) - _add_missing_carriers_from_costs(n, costs, gens.carrier.unique()) - n.import_components_from_dataframe(gens, "Generator") + scenario_setup = load_scenario_definition(snakemake) -def attach_extendable_generators(n, costs): - elec_opts = snakemake.config['electricity'] - carriers = elec_opts['extendable_carriers']['Generator'] - buses = elec_opts['buses'] + logging.info("Loading carriers from scenario file") + carriers = get_carriers_from_model_file(scenario_setup) - _add_missing_carriers_from_costs(n, costs, carriers) + logging.info(f"Loading base network {snakemake.input.base_network}") + n = pypsa.Network(snakemake.input.base_network) - for carrier in carriers: - buses_i = buses.get(carrier, n.buses.index) - n.madd("Generator", buses_i, suffix=" " + carrier, - bus=buses_i, - p_nom_extendable=True, - carrier=carrier, - capital_cost=costs.at[carrier, 'capital_cost'], - marginal_cost=costs.at[carrier, 'marginal_cost'], - efficiency=costs.at[carrier, 'efficiency']) + logging.info("Attaching load") + attach_load(n, scenario_setup) + logging.info("Attaching fixed generators") + attach_fixed_generators(n, carriers) -def attach_storage(n, costs): - elec_opts = snakemake.config['electricity'] - carriers = elec_opts['extendable_carriers']['StorageUnit'] - max_hours = elec_opts['max_hours'] - buses = elec_opts['buses'] + logging.info("Attaching extendable generators") + attach_extendable_generators(n, carriers) - _add_missing_carriers_from_costs(n, costs, carriers) + logging.info("Attaching fixed storage") + attach_fixed_storage(n, carriers) - for carrier in carriers: - buses_i = buses.get(carrier, n.buses.index) - n.madd("StorageUnit", buses_i, " " + carrier, - bus=buses_i, - p_nom_extendable=True, - carrier=carrier, - capital_cost=costs.at[carrier, 'capital_cost'], - marginal_cost=costs.at[carrier, 'marginal_cost'], - efficiency_store=costs.at[carrier, 'efficiency'], - efficiency_dispatch=costs.at[carrier, 'efficiency'], - max_hours=max_hours[carrier], - cyclic_state_of_charge=True) - -def add_co2limit(n): - n.add("GlobalConstraint", "CO2Limit", - carrier_attribute="co2_emissions", sense="<=", - constant=snakemake.config['electricity']['co2limit']) - -def add_emission_prices(n, emission_prices=None, exclude_co2=False): - if emission_prices is None: - emission_prices = snakemake.config['costs']['emission_prices'] - if exclude_co2: emission_prices.pop('co2') - ep = (pd.Series(emission_prices).rename(lambda x: x+'_emissions') * n.carriers).sum(axis=1) - n.generators['marginal_cost'] += n.generators.carrier.map(ep) - n.storage_units['marginal_cost'] += n.storage_units.carrier.map(ep) - -def add_peak_demand_hour_without_variable_feedin(n): - new_hour = n.snapshots[-1] + pd.Timedelta(hours=1) - n.set_snapshots(n.snapshots.append(pd.Index([new_hour]))) - - # Don't value new hour for energy totals - n.snapshot_weightings[new_hour] = 0. - - # Don't allow variable feed-in in this hour - n.generators_t.p_max_pu.loc[new_hour] = 0. - - n.loads_t.p_set.loc[new_hour] = ( - n.loads_t.p_set.loc[n.loads_t.p_set.sum(axis=1).idxmax()] - * (1.+snakemake.config['electricity']['SAFE_reservemargin']) - ) + logging.info("Attaching extendable storage") + attach_extendable_storage(n, carriers) + logging.info("Adjusting for changes in fuel price over time") + adjust_for_variable_fuel_costs(n) + adj_by_pu = snakemake.config["electricity"]["adjust_by_p_max_pu"] + logging.info(f"Adjusting by p_max_pu for {list(adj_by_pu.keys())}") + adjust_by_p_max_pu(n, adj_by_pu) -if __name__ == "__main__": - opts = snakemake.wildcards.opts.split('-') + logging.info("Applying coal minimum generation threshold") + set_hourly_coal_generation_threshold(n) - n = pypsa.Network(snakemake.input.base_network) - costs = load_costs() - attach_load(n) - update_transmission_costs(n, costs) - attach_existing_generators(n, costs) - attach_wind_and_solar(n, costs) - attach_extendable_generators(n, costs) - attach_storage(n, costs) + logging.info("Applying phase in of extendable generators") + apply_extendable_phase_in(n) + + logging.info("Checking pu_profiles for infeasibilities") + check_pu_profiles(snakemake.config["electricity"]["clean_pu_profiles"]) - if 'Co2L' in opts: - add_co2limit(n) - add_emission_prices(n, exclude_co2=True) + if snakemake.config["solving"]["options"]["load_shedding"]: + ls_cost = snakemake.config["costs"]["load_shedding"] + logging.info("Adding load shedding") + add_load_shedding(n, ls_cost) - if 'Ep' in opts: - add_emission_prices(n) + add_missing_carriers(n) - if 'SAFE' in opts: - add_peak_demand_hour_without_variable_feedin(n) + logging.info("Exporting network.") + if n.multi_invest: + initial_ramp_rate_fix(n) - n.export_to_netcdf(snakemake.output[0]) + if snakemake.wildcards.model_type == "dispatch": + for y in n.investment_periods: + sns = n.snapshots[n.snapshots.get_level_values("period")==y] + n_y = single_year_network_copy(n, snapshots=sns, investment_periods=sns.unique("period")) + n_y.export_to_netcdf(f"{scenario_path}/dispatch_{y}.nc") + else: + n.generators_t.p_max_pu = n.get_switchable_as_dense("Generator", "p_max_pu").astype(float) + n.export_to_netcdf(snakemake.output[0]) diff --git a/scripts/archive/add_electricity.py b/scripts/archive/add_electricity.py new file mode 100644 index 0000000..d05e8ec --- /dev/null +++ b/scripts/archive/add_electricity.py @@ -0,0 +1,870 @@ +# SPDX-FileCopyrightText: PyPSA-ZA2, PyPSA-ZA, PyPSA-Earth and PyPSA-Eur Authors +# # SPDX-License-Identifier: MIT + +# coding: utf-8 + +""" +Adds electrical generators, load and existing hydro storage units to a base network. + +Relevant Settings +----------------- + +.. code:: yaml + + costs: + year: + USD_to_ZAR: + EUR_to_ZAR: + marginal_cost: + dicountrate: + emission_prices: + load_shedding: + + electricity: + max_hours: + marginal_cost: + capital_cost: + conventional_carriers: + co2limit: + extendable_carriers: + include_renewable_capacities_from_OPSD: + estimate_renewable_capacities_from_capacity_stats: + + load: + scale: + ssp: + weather_year: + prediction_year: + region_load: + + renewable: + hydro: + carriers: + hydro_max_hours: + hydro_capital_cost: + + lines: + length_factor: + +.. seealso:: + Documentation of the configuration file ``config.yaml`` at :ref:`costs_cf`, + :ref:`electricity_cf`, :ref:`load_cf`, :ref:`renewable_cf`, :ref:`lines_cf` + +Inputs +------ +- ``model_file.xlsx``: The database to setup different scenarios based on cost assumptions for all included technologies for specific years from various sources; e.g. discount rate, lifetime, investment (CAPEX), fixed operation and maintenance (FOM), variable operation and maintenance (VOM), fuel costs, efficiency, carbon-dioxide intensity. +- ``data/Eskom EAF data.xlsx``: Hydropower plant store/discharge power capacities, energy storage capacity, and average hourly inflow by country. Not currently used! +- ``data/eskom_pu_profiles.csv``: alternative to capacities above; not currently used! +- ``data/bundle/SystemEnergy2009_22.csv`` Hourly country load profiles produced by GEGIS +- ``resources/regions_onshore.geojson``: confer :ref:`busregions` +- ``resources/gadm_shapes.geojson``: confer :ref:`shapes` +- ``data/bundle/supply_regions/{regions}.shp``: confer :ref:`powerplants` +- ``resources/profile_{}_{regions}_{resarea}.nc``: all technologies in ``config["renewables"].keys()``, confer :ref:`renewableprofiles`. +- ``networks/base_{model_file}_{regions}.nc``: confer :ref:`base` + +Outputs +------- + +- ``networks/elec_{model_file}_{regions}_{resarea}.nc``: + + .. image:: ../img/elec.png + :scale: 33 % + +Description +----------- + +The rule :mod:`add_electricity` ties all the different data inputs from the preceding rules together into a detailed PyPSA network that is stored in ``networks/elec.nc``. It includes: + +- today"s transmission topology and transfer capacities (in future, optionally including lines which are under construction according to the config settings ``lines: under_construction`` and ``links: under_construction``), +- today"s thermal and hydro power generation capacities (for the technologies listed in the config setting ``electricity: conventional_carriers``), and +- today"s load time-series (upsampled in a top-down approach according to population and gross domestic product) + +It further adds extendable ``generators`` with **zero** capacity for + +- photovoltaic, onshore and AC- as well as DC-connected offshore wind installations with today"s locational, hourly wind and solar capacity factors (but **no** current capacities), +- additional open- and combined-cycle gas turbines (if ``OCGT`` and/or ``CCGT`` is listed in the config setting ``electricity: extendable_carriers``) +""" + + +from email import generator +import logging +import os +import geopandas as gpd +import numpy as np +import pandas as pd +import powerplantmatching as pm +import pypsa +import re +import xarray as xr +from _helpers import ( + convert_cost_units, + configure_logging, + update_p_nom_max, + pdbcast, + map_component_parameters, + clean_pu_profiles, + remove_leap_day, + add_row_multi_index_df, + drop_non_pypsa_attrs, +) + +from collections import defaultdict, Counter +from shapely.validation import make_valid +from shapely.geometry import Point +from vresutils import transfer as vtransfer +idx = pd.IndexSlice +logger = logging.getLogger(__name__) +from pypsa.descriptors import get_switchable_as_dense as get_as_dense +from pypsa.io import import_components_from_dataframe +import warnings +warnings.simplefilter(action="ignore", category=FutureWarning) # Comment out for debugging and development + +def normed(s): + return s / s.sum() + +def read_and_filter_generators(file, sheet, index, filter_carriers): + df = pd.read_excel( + file, + sheet_name=sheet, + na_values=["-"], + index_col=[0,1] + ).loc[index] + return df[df["Carrier"].isin(filter_carriers)] + +def append_duplicate_index(index): + counts = {} + new_index = [] + for idx in index: + if index.tolist().count(idx) > 1: + if idx in counts: + counts[idx] += 1 + else: + counts[idx] = 1 + new_index.append(f"{idx}*{counts[idx]}") + else: + new_index.append(idx) + return new_index + + +def annual_costs(investment, lifetime, discount_rate, FOM): + CRF = discount_rate / (1 - 1 / (1 + discount_rate) ** lifetime) + return (investment * CRF + FOM).fillna(0) + +def _add_missing_carriers_from_costs(n, costs, carriers): + start_year = n.snapshots.get_level_values(0)[0] if n.multi_invest else n.snapshots[0].year + missing_carriers = pd.Index(carriers).difference(n.carriers.index) + if missing_carriers.empty: return + + emissions = costs.loc[("co2_emissions",missing_carriers),start_year] + emissions.index = emissions.index.droplevel(0) + n.madd("Carrier", missing_carriers, co2_emissions=emissions) + +def load_costs(model_file, cost_scenario): + """ + set all asset costs tab in the model file + """ + + costs = pd.read_excel( + model_file, + sheet_name = "costs", + index_col = [0,2,1], + ).sort_index().loc[cost_scenario] + + costs.drop("source", axis=1, inplace=True) + + # Interpolate for years in config file but not in cost_data excel file + ext_years = n.investment_periods if n.multi_invest else [n.snapshots[0].year] + ext_years_array = np.array(ext_years) + missing_year = ext_years_array[~np.isin(ext_years_array,costs.columns)] + if len(missing_year) > 0: + for i in missing_year: + costs.insert(0,i,np.nan) # add columns of missing year to dataframe + costs_tmp = costs.drop("unit", axis=1).sort_index(axis=1) + costs_tmp = costs_tmp.interpolate(axis=1) + costs = pd.concat([costs_tmp, costs["unit"]], ignore_index=False, axis=1) + + # correct units to MW and ZAR + costs_yr = costs.columns.drop("unit") + + costs = convert_cost_units(costs, snakemake.config["costs"]["USD_to_ZAR"], snakemake.config["costs"]["EUR_to_ZAR"]) + + full_costs = pd.DataFrame( + index = pd.MultiIndex.from_product( + [ + costs.index.get_level_values(0).unique(), + costs.index.get_level_values(1).unique()]), + columns = costs.columns + ) + # full_costs adds default values when missing from costs table + for default in costs.index.get_level_values(0): + full_costs.loc[costs.loc[(default, slice(None)),:].index, :] = costs.loc[(default, slice(None)),:] + full_costs.loc[(default, slice(None)), costs_yr] = full_costs.loc[(default, slice(None)), costs_yr].fillna(snakemake.config["costs"]["defaults"][default]) + full_costs = full_costs.fillna("default") + costs = full_costs.copy() + + # Get entries where FOM is specified as % of CAPEX + fom_perc_capex=costs.loc[costs.unit.str.contains("%/year") == True, costs_yr] + fom_perc_capex_idx=fom_perc_capex.index.get_level_values(1) + + add_costs = pd.DataFrame( + index = pd.MultiIndex.from_product([["capital_cost","marginal_cost"],costs.loc["FOM"].index]), + columns = costs.columns + ) + + costs = pd.concat([costs, add_costs],axis=0) + costs.loc[("FOM",fom_perc_capex_idx), costs_yr] = (costs.loc[("investment", fom_perc_capex_idx),costs_yr]).values/100.0 + costs.loc[("FOM",fom_perc_capex_idx), "unit"] = costs.loc[("investment", fom_perc_capex_idx),"unit"].values + + capital_costs = annual_costs( + costs.loc["investment", costs_yr], + costs.loc["lifetime", costs_yr], + costs.loc["discount_rate", costs_yr], + costs.loc["FOM", costs_yr], + ) + + costs.loc["capital_cost", costs_yr] = capital_costs.fillna(0).values + costs.loc["capital_cost","unit"] = "R/MWe" + + vom = costs.loc["VOM", costs_yr].fillna(0) + fuel = (costs.loc["fuel", costs_yr] / costs.loc["efficiency", costs_yr]).fillna(0) + + costs.loc[("marginal_cost", vom.index), costs_yr] = vom.values + costs.loc[("marginal_cost", fuel.index), costs_yr] += fuel.values + costs.loc["marginal_cost","unit"] = "R/MWhe" + + max_hours = snakemake.config["electricity"]["max_hours"] + costs.loc[("capital_cost","battery"), :] = costs.loc[("capital_cost","battery inverter"),:] + costs.loc[("capital_cost","battery"), costs_yr] += max_hours["battery"]*costs.loc[("capital_cost", "battery storage"), costs_yr] + + return costs + + + +# def process_eaf(eskom_data, ref_yrs, snapshots, carriers): +# eaf = eskom_data["EAF %"]/100# +# eaf = eaf.loc[eaf.index.get_level_values(0).year.isin(ref_yrs)] +# eaf_m = eaf.groupby(["station", eaf.index.get_level_values(0).month]).mean().unstack(level=0)[carriers] + +# eaf_h = pd.DataFrame(1, index = snapshots, columns = eaf_m.columns) +# eaf_h = eaf_m.loc[eaf_h.index.month].reset_index(drop=True).set_index(eaf_h.index) +# eaf_y = eaf_h.groupby(eaf_h.index.year).mean() +# return eaf_h, eaf_y + +def proj_eaf_override(eaf_hrly, projections, snapshots, include = "_EAF", exclude = "extendable"): + eaf_yrly = eaf_hrly.groupby(eaf_hrly.index.year).mean() + proj_eaf = projections.loc[(projections.index.str.contains(include) & ~projections.index.str.contains(exclude)), snapshots.year.unique()] + proj_eaf.index = proj_eaf.index.str.replace(include,"") + + # remove decom_stations + proj_eaf = proj_eaf[proj_eaf.index.isin(eaf_yrly.columns)] + scaling = proj_eaf.T.div(eaf_yrly[proj_eaf.index], axis="columns", level="year").fillna(1) + + for y in snapshots.year.unique(): + eaf_hrly.loc[str(y), scaling.columns] *= scaling.loc[y, :] + + return eaf_hrly + +def get_eskom_eaf(ref_yrs, snapshots, grouped = False): + # Add plant availability based on actual Eskom data provided + eskom_data = pd.read_excel( + snakemake.input.existing_generators_eaf, + sheet_name="eskom_data", + na_values=["-"], + index_col=[1,0], + parse_dates=True + ) + + eaf = (eskom_data["EAF %"]/100).unstack(level=0) + + eaf = eaf.loc[eaf.index.year.isin(ref_yrs)] + eaf_mnthly = eaf.groupby(eaf.index.month).mean() + + eaf_hrly = pd.DataFrame(1, index = snapshots, columns = eaf_mnthly.columns) + eaf_hrly = eaf_mnthly.loc[eaf_hrly.index.month].reset_index(drop=True).set_index(eaf_hrly.index) + + return eaf_hrly + +def add_generator_availability(n, projections): + config = snakemake.config["electricity"]["conventional_generators"] + fix_ref_years = config["fix_ref_years"] + ext_ref_years = config["ext_ref_years"] + conv_carriers = config["carriers"] + ext_unit_ref = config["extendable_reference"] + conv_extendable = snakemake.config["electricity"]["extendable_carriers"]["Generator"] + + snapshots = n.snapshots.get_level_values(1) if n.multi_invest else n.snapshots + + eskom_fix_eaf = get_eskom_eaf(fix_ref_years, snapshots) + eskom_fix_eaf = proj_eaf_override(eskom_fix_eaf, projections, snapshots, include = "_EAF", exclude = "extendable") + + eskom_ext_eaf = get_eskom_eaf(ext_ref_years, snapshots) + eskom_ext_eaf = proj_eaf_override(eskom_ext_eaf, projections, snapshots, include = "_extendable_EAF", exclude = "NA") + + + fix_i, fix_i_missing, eaf = get_eaf(n, eskom_data, snapshots, conv_carriers, p_nom_extendable=False) + fix_st_eaf_h, fix_st_eaf_y = process_eaf(eskom_data, fix_ref_years, snapshots, eaf.index.get_level_values(1).unique()) + fix_st_eaf_h = proj_eaf_override(projections, snapshots, fix_st_eaf_h, fix_st_eaf_y, include = "_EAF", exclude = "extendable") + + # map back to station units + fix_eaf_h = pd.DataFrame(index = snapshots, columns = fix_i.drop(fix_i_missing)) + # Using .loc indexer to align data based on the mapping from fix_i_station + fix_eaf_h = fix_st_eaf_h.loc[:, fix_i_station[fix_i.drop(fix_i_missing).values]].copy() + fix_eaf_h.columns = fix_i.drop(fix_i_missing).values + + # Extendable generators and missing fixed generators + # check if carriers from fix_i_missing_car are all in car_extendable + for carrier in fix_i_missing_car[~fix_i_missing_car.isin(conv_extendable)].unique(): + conv_extendable.append(carrier) + conv_extendable = [c for c in conv_extendable if c in ext_unit_ref] + + car_eaf_h, car_eaf_y = process_eaf(eskom_data, ext_ref_years, snapshots, ext_unit_ref.values()) + car_eaf_h.columns, car_eaf_y.columns = ([k for k, v in ext_unit_ref.items() if v in ext_unit_ref.values()] for _ in range(2)) + car_eaf_h = proj_eaf_override(projections, snapshots, car_eaf_h, car_eaf_y, include = "_extendable_EAF", exclude="NA") + + ext_eaf_h = pd.DataFrame(index = snapshots, columns = ext_i.append(fix_i_missing_car.index)) + for g in ext_i.append(fix_i_missing_car.index): + carrier = n.generators.loc[g, "carrier"] + if carrier in car_eaf_h.columns: + ext_eaf_h[g] = car_eaf_h[carrier].values + ext_eaf_h = ext_eaf_h.fillna(1) # if reference not specified + + eaf_h = pd.concat([fix_eaf_h, ext_eaf_h],axis=1).fillna(1) + eaf_h[eaf_h >1] = 1 + eaf_h.index = n.snapshots + n.generators_t.p_max_pu[eaf_h.columns] = eaf_h + +def add_min_stable_levels(n): + min_st_lvl = snakemake.config["electricity"]["min_stable_levels"] + + static = [k for k in min_st_lvl.keys() if min_st_lvl[k][1] == "static"] + dynamic = [k for k in min_st_lvl.keys() if min_st_lvl[k][1] == "dynamic"] + + for carrier in static: + gen_lst = n.generators[n.generators.carrier == carrier].index + n.generators_t.p_min_pu[gen_lst] = min_st_lvl[carrier][0] + + for carrier in dynamic: + gen_lst = n.generators[n.generators.carrier == carrier].index + p_max_pu = get_as_dense(n, "Generator", "p_max_pu")[gen_lst] + n.generators_t.p_min_pu[gen_lst] = (min_st_lvl[carrier][0]*p_max_pu).fillna(0) + + ## Attach components +# ### Load + +def attach_load(n, annual_demand): + load = pd.read_csv(snakemake.input.load,index_col=[0],parse_dates=True) + + annual_demand = annual_demand.drop("unit")*1e6 + profile_demand = normed(remove_leap_day(load.loc[str(snakemake.config["years"]["reference_demand_year"]),"system_energy"])) + + if n.multi_invest: + demand=pd.Series(0,index=n.snapshots) + for y in n.investment_periods: + demand.loc[y]=profile_demand.values*annual_demand[y] + else: + demand = pd.Series(profile_demand.values*annual_demand[n.snapshots[0].year], index = n.snapshots) + + if snakemake.wildcards.regions == "1-supply": + n.add("Load", n.buses.index, + bus="RSA", + p_set=demand) + else: + n.madd("Load", n.buses.index, + bus=n.buses.index, + p_set=pdbcast(demand, normed(n.buses[snakemake.config["electricity"]["demand_disaggregation"]]))) + + +### Generate pu profiles for other_re based on Eskom data +def generate_eskom_re_profiles(n): + ext_years = n.investment_periods if n.multi_invest else [n.snapshots[0].year] + carriers = snakemake.config["electricity"]["renewable_generators"]["carriers"] + ref_years = snakemake.config["years"]["reference_weather_years"] + + if snakemake.config["enable"]["use_excel_wind_solar"][0]: + carriers = [elem for elem in carriers if elem not in ["wind","solar_pv"]] + + eskom_data = ( + pd.read_csv( + snakemake.input.eskom_profiles,skiprows=[1], + index_col=0,parse_dates=True + ) + .resample("1h").mean() + ) + + eskom_data = remove_leap_day(eskom_data) + eskom_profiles = pd.DataFrame(0, index=n.snapshots, columns=carriers) + + for carrier in carriers: + weather_years = ref_years[carrier].copy() + if n.multi_invest: + weather_years *= int(np.ceil(len(ext_years) / len(weather_years))) + + for cnt, y in enumerate(ext_years): + y = y if n.multi_invest else str(y) + eskom_profiles.loc[y, carrier] = (eskom_data.loc[str(weather_years[cnt]), carrier] + .clip(lower=0., upper=1.)).values + return eskom_profiles + + +def generate_excel_wind_solar_profiles(n): + ref_years = snakemake.config["years"]["reference_weather_years"] + snapshots = n.snapshots.get_level_values(1) if n.multi_invest else n.snapshots + profiles=pd.DataFrame(index=pd.MultiIndex.from_product([["wind", "solar_pv"], snapshots], names=["Generator", "snapshots"]), columns=n.buses.index) + ext_years = n.investment_periods if n.multi_invest else [n.snapshots[0].year] + + for carrier in ["wind", "solar_pv"]: + raw_profiles= ( + pd.read_excel(snakemake.config["enable"]["use_excel_wind_solar"][1], + sheet_name=snakemake.wildcards.regions+"_"+carrier+"_pu", + skiprows=[1], + index_col=0,parse_dates=True) + .resample("1h").mean() + ) + raw_profiles = remove_leap_day(raw_profiles) + raw_profiles = raw_profiles.loc[ref_years[carrier]] + profiles = extend_reference_data(n, raw_profiles, snapshots) + + + # weather_years = ref_years[carrier].copy() + # if n.multi_invest: + # weather_years *= int(np.ceil(len(ext_years) / len(weather_years))) + + # # Use the default RSA hourly data (from Eskom) and extend to multiple weather years + # for cnt, y in enumerate(ext_years): + # profiles.loc[(carrier, str(y)), n.buses.index] = ( + # raw_profiles.loc[str(weather_years[cnt]),n.buses.index] + # .clip(lower=0., upper=1.) + # ).values + # if n.multi_invest: + # profiles["periods"] = profiles.index.get_level_values(1).year + # profiles = profiles.reset_index().set_index(["Generator", "periods", "snapshots"]) + return profiles + + +### Set line costs +def update_transmission_costs(n, costs, length_factor=1.0, simple_hvdc_costs=False): + # Currently only average transmission costs are implemented + n.lines["capital_cost"] = ( + n.lines["length"] * length_factor * costs.loc[("capital_cost","HVAC_overhead"), costs.columns.drop("unit")].mean() + ) + + if n.links.empty: + return + + dc_b = n.links.carrier == "DC" + # If there are no "DC" links, then the "underwater_fraction" column + # may be missing. Therefore we have to return here. + # TODO: Require fix + if n.links.loc[n.links.carrier == "DC"].empty: + return + + if simple_hvdc_costs: + hvdc_costs = ( + n.links.loc[dc_b, "length"] + * length_factor + * costs.loc[("capital_cost","HVDC_overhead"),:].mean() + ) + else: + hvdc_costs = ( + n.links.loc[dc_b, "length"] + * length_factor + * ( + (1.0 - n.links.loc[dc_b, "underwater_fraction"]) + * costs.loc[("capital_cost","HVDC_overhead"),:].mean() + + n.links.loc[dc_b, "underwater_fraction"] + * costs.loc[("capital_cost","HVDC_submarine"),:].mean() + ) + + costs.loc[("capital_cost","HVDC inverter_pair"),:].mean() + ) + n.links.loc[dc_b, "capital_cost"] = hvdc_costs + + + + +def load_components_from_model_file(model_file, model_setup, carriers, start_year, config): + """ + Load components from a model file based on specified filters and configurations. + + Args: + model_file: The file path to the model file. + model_setup: The model setup object. + carriers: A list of carriers to filter the generators. + start_year: The start year for the components. + config: A dictionary containing configuration settings. + + Returns: + A DataFrame containing the loaded components. + """ + conv_gens = read_and_filter_generators(model_file, "existing_conventional", model_setup.existing_eskom, carriers) + re_gens = read_and_filter_generators(model_file, "existing_renewables", model_setup.existing_non_eskom, carriers) + + conv_gens["apply_grouping"] = config["conventional_generators"]["apply_grouping"] + re_gens["apply_grouping"] = config["renewable_generators"]["apply_grouping"] + re_gens.set_index((re_gens["Model Key"] + "_" + re_gens["Carrier"]).values,inplace=True) + + gens = pd.concat([conv_gens, re_gens]) + gens = map_component_parameters(gens, start_year) + gens = gens.query("(p_nom > 0) & x.notnull() & y.notnull() & (lifetime >= 0)") + + return gens + +def map_components_to_buses(component_df, regions, crs_config): + """ + Associate every generator/storage_unit with the bus of the region based on GPS coords. + + Args: + component_df: A DataFrame containing generator/storage_unit data. + regions: The file path to the regions shapefile. + crs_config: A dictionary containing coordinate reference system configurations. + + Returns: + A DataFrame with the generators associated with their respective bus. + """ + + regions_gdf = gpd.read_file(regions).to_crs(snakemake.config["crs"]["distance_crs"]).set_index("name") + gps_gdf = gpd.GeoDataFrame( + geometry=gpd.GeoSeries([Point(o.x, o.y) for o in component_df[["x", "y"]].itertuples()], + index=component_df.index, + crs=crs_config["geo_crs"] + ).to_crs(crs_config["distance_crs"])) + joined = gpd.sjoin(gps_gdf, regions_gdf, how="left", op="within") + component_df["bus"] = joined["index_right"].copy() + + if empty_bus := list(component_df[~component_df["bus"].notnull()].index): + logger.warning(f"Dropping generators/storage units with no bus assignment {empty_bus}") + component_df = component_df[component_df["bus"].notnull()] + + return component_df + +def group_components(component_df): + """ + Apply grouping of similar carrier if specified in snakemake config. + + Args: + component_df: A DataFrame containing generator/storage_unit data. + + Returns: + A tuple containing two DataFrames: grouped_df, non_grouped_df + """ + params = ["bus", "carrier", "lifetime", "p_nom", "efficiency", "ramp_limit_up", "ramp_limit_down", "marginal_cost", "capital_cost"] + param_cols = [p for p in params if p not in ["bus","carrier","p_nom"]] + + filtered_df = component_df[component_df["apply_grouping"]].copy().fillna(0) + + grouped_df = pd.DataFrame(index=filtered_df.groupby(["Grouping", "carrier", "bus"]).sum().index, columns = param_cols) + grouped_df["p_nom"] = filtered_df.groupby(["Grouping", "carrier", "bus"]).sum()["p_nom"] + + for param in [p for p in params if p not in ["bus","carrier","p_nom"]]: + weighted_sum = filtered_df.groupby(["Grouping", "carrier", "bus"]).apply(lambda x: (x[param] * x["p_nom"]).sum()) + total_p_nom = filtered_df.groupby(["Grouping", "carrier", "bus"])["p_nom"].sum() + weighted_average = weighted_sum / total_p_nom + grouped_df.loc[weighted_average.index, param] = weighted_average.values + + rename_idx = grouped_df.index.get_level_values(2) + "-" + grouped_df.index.get_level_values(1) + "_" + grouped_df.index.get_level_values(0) + grouped_df = grouped_df.reset_index(level=[1,2]).replace(0, np.nan).set_index(rename_idx) # replace 0 with nan to ignore in pypsa + + non_grouped_df = component_df[~component_df["apply_grouping"]][params].copy() + + return grouped_df, non_grouped_df + +def group_pu_profiles(pu_profiles, component_df): + years = pu_profiles.index.get_level_values(1).year.unique() + pu_mul_p_nom = pu_profiles * component_df["p_nom"] + + filtered_df = component_df[component_df["apply_grouping"]].copy().fillna(0) + + for bus in filtered_df.bus.unique(): + for carrier in filtered_df.carrier.unique(): + carrier_list = filtered_df[(filtered_df["carrier"] == carrier) & (filtered_df["bus"] == bus)].index + for y in years: + active = carrier_list[(component_df.loc[carrier_list, "lifetime"] - (y-years[0]))>=0] + if len(active)>0: + key_list = filtered_df.loc[active, "Grouping"] + for key in key_list.unique(): + active_key = active[filtered_df.loc[active, "Grouping"] == key] + pu_profiles.loc[(slice(None), str(y)), bus + "-" + carrier + "_" + key] = pu_mul_p_nom.loc[(slice(None), str(y)), active_key].sum(axis=1) / component_df.loc[active_key, "p_nom"].sum() + pu_profiles.drop(columns = carrier_list, inplace=True) + + return pu_profiles.fillna(0) + +def extend_reference_data(n, ref_data, snapshots): + ext_years = snapshots.year.unique() + extended_data = pd.DataFrame(0, index=snapshots, columns=ref_data.columns) + ref_years = ref_data.index.year.unique() + + for _ in range(int(np.ceil(len(ext_years) / len(ref_years)))-1): + ref_data = pd.concat([ref_data, ref_data],axis=0) + + extended_data.iloc[:] = ref_data.iloc[range(len(extended_data)),:].values + + return extended_data + +def generate_existing_wind_solar_profiles(n, gens, ref_data, snapshots, pu_profiles): + + for carrier in ["wind", "solar_pv"]: + pu = pd.read_excel( + ref_data, + sheet_name=f"existing_{carrier}_pu", + index_col=0, + parse_dates=True, + ) + + pu = remove_leap_day(pu) + mapping = gens.loc[(gens["Model Key"] != np.nan) & (gens["carrier"] == carrier),"Model Key"] + mapping = pd.Series(mapping.index,index=mapping.values) + pu = pu[mapping.index] + pu.columns = mapping[pu.columns].values + pu = extend_reference_data(n, pu, snapshots) + pu_profiles.loc["max", pu.columns] = pu.values + pu_profiles.loc["min", pu.columns] = 0.95*pu.values # Existing REIPPP take or pay constraint (100% can cause instabilitites) + + return pu_profiles + +def generate_extendable_wind_solar_profiles(n, gens, ref_data, snapshots, pu_profiles): + + for carrier in ["wind", "solar_pv"]: + pu = pd.read_excel( + ref_data, + sheet_name=f"existing_{carrier}_pu", + index_col=0, + parse_dates=True, + ) + + pu = remove_leap_day(pu) + mapping = gens.loc[(gens["Model Key"] != np.nan) & (gens["carrier"] == carrier),"Model Key"] + mapping = pd.Series(mapping.index,index=mapping.values) + pu = pu[mapping.index] + pu.columns = mapping[pu.columns].values + pu = extend_reference_data(n, pu, snapshots) + pu_profiles.loc["max", pu.columns] = pu.values + pu_profiles.loc["min", pu.columns] = 0.95*pu.values # Existing REIPPP take or pay constraint (100% can cause instabilitites) + + return pu_profiles + + +# # Generators +def attach_existing_generators(n, costs, model_setup, model_file): + # setup carrier info + config = snakemake.config["electricity"]["conventional_generators"] + fix_ref_years = config["fix_ref_years"] + ext_ref_years = config["ext_ref_years"] + conv_carriers = config["carriers"] + ext_unit_ref = config["extendable_reference"] + conv_extendable = snakemake.config["electricity"]["extendable_carriers"]["Generator"] + conv_carriers = snakemake.config["electricity"]["conventional_generators"]["carriers"] + re_carriers = snakemake.config["electricity"]["renewable_generators"]["carriers"] + carriers = conv_carriers + re_carriers + + ext_years = n.investment_periods if n.multi_invest else [n.snapshots[0].year] + ref_years = snakemake.config["years"]["reference_weather_years"] + + start_year = n.snapshots.get_level_values(0)[0] if n.multi_invest else n.snapshots[0].year + snapshots = n.snapshots.get_level_values(1) if n.multi_invest else n.snapshots + + # load generators from model file + gens = load_components_from_model_file(model_file, model_setup, carriers, start_year, snakemake.config["electricity"]) + gens = map_components_to_buses(gens, snakemake.input.supply_regions, snakemake.config["crs"]) + + + pu_profiles = pd.DataFrame(index = pd.MultiIndex.from_product([["max", "min"], snapshots], names=["profile", "snapshots"]), columns = gens.index) + pu_profiles.loc["max"] = 1 + pu_profiles.loc["min"] = 0 + + # Monthly average EAF for conventional plants from Eskom + eskom_conv_pu = get_eskom_eaf(fix_ref_years, snapshots) + eskom_conv_pu = proj_eaf_override(eskom_conv_pu, projections, snapshots, include = "_EAF", exclude = "extendable") + eskom_carriers = [carrier for carrier in conv_carriers if carrier not in ["nuclear", "hydro", "hydro_import"]] + for col in gens.query("Grouping == 'eskom' & carrier in @eskom_carriers").index: + pu_profiles.loc["max", col] = eskom_conv_pu[col.split("*")[0]].values + + # Hourly data from Eskom data portal + eskom_re_pu = generate_eskom_re_profiles(n) + eskom_re_carriers = eskom_re_pu.columns + for col in gens.query("carrier in @eskom_re_carriers").index: + pu_profiles.loc["max", col] = eskom_re_pu[gens.loc[col, "carrier"]].values + + # Wind and solar profiles if not using Eskom data portal + if snakemake.config["enable"]["use_excel_wind_solar"][0]: + ref_data = pd.ExcelFile(snakemake.config["enable"]["use_excel_wind_solar"][1]) + pu_profiles = generate_existing_wind_solar_profiles(n, gens, ref_data, snapshots, pu_profiles) + + pu_profiles = group_pu_profiles(pu_profiles, gens) #includes both grouped an non-grouped generators + grouped_gens, non_grouped_gens = group_components(gens) + grouped_gens["build_year"], grouped_gens["p_nom_extendable"] = start_year, False + non_grouped_gens["build_year"], non_grouped_gens["p_nom_extendable"] = start_year, False + + n.import_components_from_dataframe(non_grouped_gens, "Generator") + n.import_components_from_dataframe(grouped_gens, "Generator") + + n.generators_t.p_max_pu = pu_profiles.loc["max"] + n.generators_t.p_min_pu = pu_profiles.loc["min"] + + _add_missing_carriers_from_costs(n, costs, gens.carrier.unique()) + + +def set_default_extendable_params(c, bus_carrier_years, **config): + default_param = [ + "bus", + "p_nom_extendable", + "carrier", + "build_year", + "lifetime", + "capital_cost", + "marginal_cost", + ] + if c == "Generator": + default_param += ["efficiency"] + elif c == "StorageUnit": + default_param += ["max_hours", "efficiency_store", "efficiency_dispatch"] + + component_df = pd.DataFrame(index = bus_carrier_years, columns = default_param) + + component_df["p_nom_extendable"] = True + component_df["bus"] = component_df.index.str.split("-").str[0] + component_df["carrier"] = component_df.index.str.split("-").str[1] + component_df["build_year"] = component_df.index.str.split("-").str[2].astype(int) + + for param in ["lifetime", "capital_cost", "marginal_cost", "efficiency"]: + component_df[param] = component_df.apply(lambda row: costs.loc[(param, row["carrier"]), row["build_year"]], axis=1) + + if c == "StorageUnit": + component_df["cyclic_state_of_charge"] = True + component_df["cyclic_state_of_charge_per_period"] = True + component_df["efficiency_store"] = component_df["efficiency"]**0.5 + component_df["efficiency_dispatch"] = component_df["efficiency"]**0.5 + component_df["max_hours"] = component_df["carrier"].map(config["max_hours"]) + component_df = component_df.drop("efficiency", axis=1) + return component_df + +def attach_extendable_generators(n, costs): + config = snakemake.config["electricity"] + carriers = config["extendable_carriers"]["Generator"] + ext_years = n.investment_periods if n.multi_invest else [n.snapshots[0].year] + + bus_carrier_years = [f"{bus}-{carrier}-{year}" for bus in n.buses.index for carrier in carriers for year in ext_years] + gens = set_default_extendable_params("Generator", bus_carrier_years) + #gens = drop_non_pypsa_attrs(n, "Generator", gens) + n.import_components_from_dataframe(gens, "Generator") + n.generators["plant_name"] = n.generators.index.str.split("*").str[0] + _add_missing_carriers_from_costs(n, costs, carriers) + +def attach_existing_storage(n, model_setup, model_file): + carriers = ["phs", "battery"] + start_year = n.snapshots.get_level_values(0)[0] if n.multi_invest else n.snapshots[0].year + + storage = load_components_from_model_file(model_file, model_setup, carriers, start_year, snakemake.config["electricity"]) + storage = map_components_to_buses(storage, snakemake.input.supply_regions, snakemake.config["crs"]) + + max_hours_col = [col for col in storage.columns if "_max_hours" in col] + efficiency_col = [col for col in storage.columns if "_efficiency" in col] + + storage["max_hours"] = storage[max_hours_col].sum(axis=1) + storage["efficiency_store"] = storage[efficiency_col].sum(axis=1)**0.5 + storage["efficiency_dispatch"] = storage[efficiency_col].sum(axis=1)**0.5 + storage["cyclic_state_of_charge"], storage["p_nom_extendable"] = True, False + + storage = drop_non_pypsa_attrs(n, "StorageUnit", storage) + n.import_components_from_dataframe(storage, "StorageUnit") + +def attach_extendable_storage(n, costs): + config = snakemake.config["electricity"] + carriers = config["extendable_carriers"]["StorageUnit"] + ext_years = n.investment_periods if n.multi_invest else [n.snapshots[0].year] + _add_missing_carriers_from_costs(n, costs, carriers) + + bus_carrier_years = [f"{bus}-{carrier}-{year}" for bus in n.buses.index for carrier in carriers for year in ext_years] + storage = set_default_extendable_params("StorageUnit", bus_carrier_years, **config) + + n.import_components_from_dataframe(storage, "StorageUnit") + +def add_co2limit(n): + n.add("GlobalConstraint", "CO2Limit", + carrier_attribute="co2_emissions", sense="<=", + constant=snakemake.config["electricity"]["co2limit"]) + +def add_emission_prices(n, emission_prices=None, exclude_co2=False): + if emission_prices is None: + emission_prices = snakemake.config["costs"]["emission_prices"] + if exclude_co2: emission_prices.pop("co2") + ep = (pd.Series(emission_prices).rename(lambda x: x+"_emissions") * n.carriers).sum(axis=1) + n.generators["marginal_cost"] += n.generators.carrier.map(ep) + n.storage_units["marginal_cost"] += n.storage_units.carrier.map(ep) + +def add_peak_demand_hour_without_variable_feedin(n): + new_hour = n.snapshots[-1] + pd.Timedelta(hours=1) + n.set_snapshots(n.snapshots.append(pd.Index([new_hour]))) + + # Don"t value new hour for energy totals + n.snapshot_weightings[new_hour] = 0. + + # Don"t allow variable feed-in in this hour + n.generators_t.p_max_pu.loc[new_hour] = 0. + + n.loads_t.p_set.loc[new_hour] = ( + n.loads_t.p_set.loc[n.loads_t.p_set.sum(axis=1).idxmax()] + * (1.+snakemake.config["electricity"]["SAFE_reservemargin"]) + ) + +def add_nice_carrier_names(n): + + carrier_i = n.carriers.index + nice_names = ( + pd.Series(snakemake.config["plotting"]["nice_names"]) + .reindex(carrier_i) + .fillna(carrier_i.to_series().str.title()) + ) + n.carriers["nice_name"] = nice_names + colors = pd.Series(snakemake.config["plotting"]["tech_colors"]).reindex(carrier_i) + if colors.isna().any(): + missing_i = list(colors.index[colors.isna()]) + logger.warning( + f"tech_colors for carriers {missing_i} not defined " "in config." + ) + n.carriers["color"] = colors + + +if __name__ == "__main__": + if "snakemake" not in globals(): + from _helpers import mock_snakemake + snakemake = mock_snakemake( + "add_electricity", + **{ + "model_file":"grid-2040", + "regions":"11-supply", + "resarea":"redz", + } + ) + model_file = pd.ExcelFile(snakemake.input.model_file) + model_setup = ( + pd.read_excel( + model_file, + sheet_name="model_setup", + index_col=[0]) + .loc[snakemake.wildcards.model_file] + ) + + projections = ( + pd.read_excel( + model_file, + sheet_name="projected_parameters", + index_col=[0,1]) + .loc[model_setup["projected_parameters"]] + ) + + #opts = snakemake.wildcards.opts.split("-") + n = pypsa.Network(snakemake.input.base_network) + costs = load_costs(model_file, model_setup.costs) + + #wind_solar_profiles = xr.open_dataset(snakemake.input.wind_solar_profiles).to_dataframe() + eskom_profiles = generate_eskom_re_profiles(n) + + attach_load(n, projections.loc["annual_demand",:]) + if snakemake.wildcards.regions!="1-supply": + update_transmission_costs(n, costs) + attach_existing_generators(n, costs, model_setup, model_file) + attach_extendable_generators(n, costs) + attach_existing_storage(n, model_setup, model_file) + attach_extendable_storage(n, costs) + + add_nice_carrier_names(n) + n.export_to_netcdf(snakemake.output[0]) diff --git a/scripts/add_sectors.py b/scripts/archive/add_sectors.py old mode 100644 new mode 100755 similarity index 97% rename from scripts/add_sectors.py rename to scripts/archive/add_sectors.py index 543b25c..a0df8ad --- a/scripts/add_sectors.py +++ b/scripts/archive/add_sectors.py @@ -1,284 +1,284 @@ -# coding: utf-8 - -import pypsa -import pandas as pd -import numpy as np -import os -from six import iteritems - -from vresutils.costdata import annuity, USD2013_to_EUR2013 - -from _helpers import pdbcast - -def normed(s): return s/s.sum() - -########################################################################################### - -def generate_periodic_profiles(dt_index, freq="H", weekly_profile=range(24*7)): - - #Give a 24*7 long list of weekly hourly profiles - weekly_profile = pd.Series(weekly_profile, range(24*7)) - hour_of_the_week = pd.Series(24*dt_index.weekday+dt_index.hour, dt_index) - - return hour_of_the_week.map(weekly_profile) - - -def add_transport(n, BEV=True, V2G=True): - buses = n.buses.index[n.buses.population > 0.] - population = n.buses.loc[buses, 'population'] - - opts = snakemake.config['transport'] - - emobility = snakemake.input.emobility - weekly_profile_kfz = pd.read_csv(os.path.join(emobility, "KFZ__count"), skiprows=2)["count"] - weekly_profile_pkw = pd.read_csv(os.path.join(emobility, "Pkw__count"), skiprows=2)["count"] - - transport_demand = ( - normed(generate_periodic_profiles(n.snapshots, weekly_profile=weekly_profile_kfz.values)) - * (opts['energy_total'] / opts.get('efficiency_gain', 1.)) - ) - - def renormalize(s, vmax, vmean): - return vmax - (vmax - vmean) * (s - s.min())/(s.mean() - s.min()) - battery_availability = generate_periodic_profiles( - n.snapshots, - weekly_profile=renormalize( - weekly_profile_pkw, - vmax=opts['availability_max'], - vmean=opts['availability_mean'] - )) - - - n.add("Carrier", "Li ion") - buses_ev_battery = n.madd("Bus", buses, suffix=" EV battery", bus=buses, carrier="Li ion") - n.madd("Load", buses, suffix=" EV battery", - bus=buses_ev_battery, - p_set=pdbcast(transport_demand, normed(population))) - - cars = normed(population) * opts['total_cars'] - charging_discharging_power = cars * opts['car_battery_p_nom'] - - n.madd("Link", buses, suffix=" BEV charger", - bus0=buses, bus1=buses_ev_battery, - p_nom=charging_discharging_power, - efficiency=opts['efficiency'], - p_max_pu=battery_availability, - #These were set non-zero to find LU infeasibility when availability = 0.25 - #p_nom_extendable=True, - #p_nom_min=p_nom, - #capital_cost=1e6, #i.e. so high it only gets built where necessary - ) - - if BEV: - n.madd("Store", buses, suffix=" battery storage", - bus=buses_ev_battery, - e_cyclic=True, - e_nom=cars * opts['car_battery_e_nom'], - standing_loss=opts['standing_loss']) - - if V2G: - n.madd("Link", buses, suffix=" V2G", - bus0=buses_ev_battery, bus1=buses, - p_nom=charging_discharging_power, - p_max_pu=battery_availability, - efficiency=opts['efficiency']) - - #TO DO - # network.add("Load",node + " transport fuel cell", - # bus=node + " H2", - # p_set=options['transport_fuel_cell_share']/0.58*transport[node].values[:8760], - # ) - - -def add_gas_infrastructure(n, costs): - buses = n.buses.index[n.buses.population > 0.] - discountrate = snakemake.config['costs']['discountrate'] - - n.add("Carrier", "H2") - buses_h2 = n.madd("Bus", buses, suffix=" H2", carrier="H2") - n.madd("Link", buses, suffix=" H2 Electrolysis", - bus0=buses, bus1=buses_h2, - p_nom_extendable=True, - efficiency=0.75, - #Cost from http://www.nrel.gov/docs/fy09osti/45873.pdf "Future Timeframe" - #(same source as Budishak) - capital_cost=(annuity(20.,discountrate)+0.017)*300.*1000.*USD2013_to_EUR2013) - n.madd( "Link", buses, suffix=" H2 Fuel Cell", - bus0=buses_h2, bus1=buses, - p_nom_extendable=True, - efficiency=0.58, - #Cost from http://www.nrel.gov/docs/fy09osti/45873.pdf "Future Timeframe" - #(same source as Budishak) - #NB: Costs refer to electrical side, so must multiply by efficiency - capital_cost=(annuity(20.,discountrate)+0.017)*437.*0.58*1000.*USD2013_to_EUR2013) - n.madd("Store", buses_h2, suffix=" Store", - bus=buses_h2, - e_nom_extendable=True, - e_cyclic=True, - capital_cost=annuity(20.,discountrate)*11.2*1000.*USD2013_to_EUR2013) - - - # TODO - #OCGT bus w/gas generation link - # network.add("Bus", - # node + " OCGT", - # carrier="OCGT") - # network.add("Link", - # node + " OCGT", - # bus0=node+ " OCGT", - # bus1=node, - # capital_cost=cc['efi']*cc['wki']*Nyears, - # p_nom_extendable=True, - # efficiency=cc['efi']) - -############### -#### heat - -def compute_heat_demand(n): - # shares ={} - # file_name = snakemake.input.heating_residential - # shares["Residential"] = (pd.read_csv(file_name,index_col=0).T["DE"]).T - # file_name = snakemake.input.heating_tertiary - # shares["Services"] = (pd.read_csv(file_name,index_col=0).T["DE"]).T - - # sectors = ["Residential","Services"] - - # for sector in sectors: - # energy_totals[sector +" Combustion"] = energy_totals[sector] - energy_totals[sector + " Electricity"] - # energy_totals[sector +" Space"] = shares[sector].space*energy_totals[sector + " Combustion"] - # energy_totals[sector +" Water"] = shares[sector].water*energy_totals[sector + " Combustion"] - - # energy_totals["Space Heating"] = energy_totals[[sector + " Space" for sector in sectors]].sum() - # energy_totals["Water Heating"] = energy_totals[[sector + " Water" for sector in sectors]].sum() - - heating_space = 0. - heating_water = 0. # TODO - - heat_demand = heating_water / 8760 - - if heating_space > 0.: - daily_heat_demand = pd.read_csv(snakemake.input.heat_demand, index_col=0, parse_dates=True) - intraday_profiles = pd.read_csv(snakemake.input.heat_profile, index_col=0) - heat_demand_space = normed(daily_heat_demand.reindex(n.snapshots, method='ffill').multiply( - generate_periodic_profiles( - n.snapshots, - weekly_profile=np.r_[np.repeat(intraday_profiles['weekday'], 5), np.repeat(intraday_profiles['weekend'], 2)]), - axis=0)) * heating_space - - # cop = (pd.read_csv(snakemake.input.cop, index_col=0, parse_dates=True)) - - heat_demand = heat_demand + heat_demand_space - - return heat_demand - -def add_water_heating(n): - ##### CHP Parameters - ###### electrical efficiency with no heat output - eta_elec = 0.468 - ###### loss of fuel for each addition of heat - c_v = 0.15 - ###### backpressure ratio - c_m = 0.75 - ###### ratio of max heat output to max electrical output - p_nom_ratio = 1. - - - heat_demand = compute_heat_demand(n) - - network.add("Carrier", "heat") - - network.add("Bus", node + " heat", carrier="heat") - network.add("Link", node + " heat pump", - bus0=node, - bus1=node + " heat", - efficiency=cop[node], #cop for 2011 time_dep_hp_cop - capital_cost=(annuity(20,discountrate)+0.015)*3.*1.050e6, #20a, 1% FOM, 1050 EUR/kWth from [HP] NB: PyPSA uses bus0 for p_nom restriction, hence factor 3 to get 3150 EUR/kWel - p_nom_extendable=True - ) - network.add("Load", node + " heat", - bus=node + " heat", - p_set= heat_demand[node] - ) - network.add("Link", node + " resistive heater", - bus0=node, - bus1=node + " heat", - efficiency=0.9, - capital_cost=(annuity(20,discountrate)+0.02)*0.9*1.e5, #100 EUR/kW_th, 2% FOM from Schaber thesis - p_nom_extendable=True, - ) - - - ##### H2 bus w/methanation - # methanation - network.add("Link", - node + " Sabatier", - bus0=node+" H2", - bus1=node+" OCGT", - p_nom_extendable=True, - #Efficiency from Katrin Schaber PhD thesis - efficiency=0.77, - #Costs from Katrin Schaber PhD thesis; comparable with HP (1.5e6 including H2 electrolysis) - capital_cost=(annuity(20.,discountrate)+0.02)*1.1e6*Nyears) - # gas boiler - network.add("Link", node + " gas boiler", - p_nom_extendable=True, - bus0=node + " OCGT", - bus1=node + " heat", - capital_cost=(annuity(20,0.07)+0.01)*0.9*3.e5, #300 EUR/kW_th, 1% FOM from Schaber thesis, 20a from HP - efficiency=0.9,) - # chp - standardmäßig rein? Ist es jetzt auf jeden Fall! - network.add("Link", node + " CHP electric", - bus0=node+ " OCGT", - bus1=node, - capital_cost=(annuity(25,0.07)+0.03)*1.4e6*eta_elec, #From HP decentral - efficiency=eta_elec, - p_nom_extendable=True) - network.add("Link", node + " CHP heat", - p_nom_extendable=True, - bus0=node + " OCGT", - bus1=node + " heat", - capital_cost=0., - efficiency=eta_elec/c_v) - - - - ##### heat flexibilities: - if "TES" in flexibilities: - network.add("Carrier","water tanks") - network.add("Bus", node + " water tanks", carrier="water tanks") - network.add("Link", node + " water tanks charger", - bus0=node + " heat", - bus1=node + " water tanks", - efficiency=0.9, - capital_cost=0., - p_nom_extendable=True - ) - network.add("Link", node + " water tanks discharger", - bus0=node + " water tanks", - bus1=node + " heat", - efficiency=0.9, - capital_cost=0., - p_nom_extendable=True - ) - network.add("Store", node + " water tank", - bus=node + " water tanks", - e_cyclic=True, - e_nom_extendable=True, - standing_loss=1-np.exp(-1/(24.*180)), #options["tes_tau"])), # [HP] 180 day time constant for centralised, 3 day for decentralised - capital_cost=(annuity(40,discountrate)+0.01)*20/(1.17e-3*40), #[HP] 40 years, 20 EUR/m^3 in EUR/MWh for 40 K diff and 1.17 kWh/m^2, 1% FOM - ) -#################################################################### - - -if __name__ == "__main__": - n = pypsa.Network(snakemake.input.network) - sectors = set(snakemake.wildcards.sectors.split('+')) - - if 'EV' in sectors or 'BEV' in sectors: - add_transport(n, BEV='BEV' in sectors, V2G='V2G' in sectors) - - # if 'WEH' in sectors: - # add_water_heating(n) - - n.export_to_netcdf(snakemake.output[0]) - +# coding: utf-8 + +import pypsa +import pandas as pd +import numpy as np +import os +from six import iteritems + +from vresutils.costdata import annuity, USD2013_to_EUR2013 + +from _helpers import pdbcast + +def normed(s): return s/s.sum() + +########################################################################################### + +def generate_periodic_profiles(dt_index, freq="H", weekly_profile=range(24*7)): + + #Give a 24*7 long list of weekly hourly profiles + weekly_profile = pd.Series(weekly_profile, range(24*7)) + hour_of_the_week = pd.Series(24*dt_index.weekday+dt_index.hour, dt_index) + + return hour_of_the_week.map(weekly_profile) + + +def add_transport(n, BEV=True, V2G=True): + buses = n.buses.index[n.buses.population > 0.] + population = n.buses.loc[buses, 'population'] + + opts = snakemake.config['transport'] + + emobility = snakemake.input.emobility + weekly_profile_kfz = pd.read_csv(os.path.join(emobility, "KFZ__count"), skiprows=2)["count"] + weekly_profile_pkw = pd.read_csv(os.path.join(emobility, "Pkw__count"), skiprows=2)["count"] + + transport_demand = ( + normed(generate_periodic_profiles(n.snapshots, weekly_profile=weekly_profile_kfz.values)) + * (opts['energy_total'] / opts.get('efficiency_gain', 1.)) + ) + + def renormalize(s, vmax, vmean): + return vmax - (vmax - vmean) * (s - s.min())/(s.mean() - s.min()) + battery_availability = generate_periodic_profiles( + n.snapshots, + weekly_profile=renormalize( + weekly_profile_pkw, + vmax=opts['availability_max'], + vmean=opts['availability_mean'] + )) + + + n.add("Carrier", "Li ion") + buses_ev_battery = n.madd("Bus", buses, suffix=" EV battery", bus=buses, carrier="Li ion") + n.madd("Load", buses, suffix=" EV battery", + bus=buses_ev_battery, + p_set=pdbcast(transport_demand, normed(population))) + + cars = normed(population) * opts['total_cars'] + charging_discharging_power = cars * opts['car_battery_p_nom'] + + n.madd("Link", buses, suffix=" BEV charger", + bus0=buses, bus1=buses_ev_battery, + p_nom=charging_discharging_power, + efficiency=opts['efficiency'], + p_max_pu=battery_availability, + #These were set non-zero to find LU infeasibility when availability = 0.25 + #p_nom_extendable=True, + #p_nom_min=p_nom, + #capital_cost=1e6, #i.e. so high it only gets built where necessary + ) + + if BEV: + n.madd("Store", buses, suffix=" battery storage", + bus=buses_ev_battery, + e_cyclic=True, + e_nom=cars * opts['car_battery_e_nom'], + standing_loss=opts['standing_loss']) + + if V2G: + n.madd("Link", buses, suffix=" V2G", + bus0=buses_ev_battery, bus1=buses, + p_nom=charging_discharging_power, + p_max_pu=battery_availability, + efficiency=opts['efficiency']) + + #TO DO + # network.add("Load",node + " transport fuel cell", + # bus=node + " H2", + # p_set=options['transport_fuel_cell_share']/0.58*transport[node].values[:8760], + # ) + + +def add_gas_infrastructure(n, costs): + buses = n.buses.index[n.buses.population > 0.] + discountrate = snakemake.config['costs']['discountrate'] + + n.add("Carrier", "H2") + buses_h2 = n.madd("Bus", buses, suffix=" H2", carrier="H2") + n.madd("Link", buses, suffix=" H2 Electrolysis", + bus0=buses, bus1=buses_h2, + p_nom_extendable=True, + efficiency=0.75, + #Cost from http://www.nrel.gov/docs/fy09osti/45873.pdf "Future Timeframe" + #(same source as Budishak) + capital_cost=(annuity(20.,discountrate)+0.017)*300.*1000.*USD2013_to_EUR2013) + n.madd( "Link", buses, suffix=" H2 Fuel Cell", + bus0=buses_h2, bus1=buses, + p_nom_extendable=True, + efficiency=0.58, + #Cost from http://www.nrel.gov/docs/fy09osti/45873.pdf "Future Timeframe" + #(same source as Budishak) + #NB: Costs refer to electrical side, so must multiply by efficiency + capital_cost=(annuity(20.,discountrate)+0.017)*437.*0.58*1000.*USD2013_to_EUR2013) + n.madd("Store", buses_h2, suffix=" Store", + bus=buses_h2, + e_nom_extendable=True, + e_cyclic=True, + capital_cost=annuity(20.,discountrate)*11.2*1000.*USD2013_to_EUR2013) + + + # TODO + #OCGT bus w/gas generation link + # network.add("Bus", + # node + " OCGT", + # carrier="OCGT") + # network.add("Link", + # node + " OCGT", + # bus0=node+ " OCGT", + # bus1=node, + # capital_cost=cc['efi']*cc['wki']*Nyears, + # p_nom_extendable=True, + # efficiency=cc['efi']) + +############### +#### heat + +def compute_heat_demand(n): + # shares ={} + # file_name = snakemake.input.heating_residential + # shares["Residential"] = (pd.read_csv(file_name,index_col=0).T["DE"]).T + # file_name = snakemake.input.heating_tertiary + # shares["Services"] = (pd.read_csv(file_name,index_col=0).T["DE"]).T + + # sectors = ["Residential","Services"] + + # for sector in sectors: + # energy_totals[sector +" Combustion"] = energy_totals[sector] - energy_totals[sector + " Electricity"] + # energy_totals[sector +" Space"] = shares[sector].space*energy_totals[sector + " Combustion"] + # energy_totals[sector +" Water"] = shares[sector].water*energy_totals[sector + " Combustion"] + + # energy_totals["Space Heating"] = energy_totals[[sector + " Space" for sector in sectors]].sum() + # energy_totals["Water Heating"] = energy_totals[[sector + " Water" for sector in sectors]].sum() + + heating_space = 0. + heating_water = 0. # TODO + + heat_demand = heating_water / 8760 + + if heating_space > 0.: + daily_heat_demand = pd.read_csv(snakemake.input.heat_demand, index_col=0, parse_dates=True) + intraday_profiles = pd.read_csv(snakemake.input.heat_profile, index_col=0) + heat_demand_space = normed(daily_heat_demand.reindex(n.snapshots, method='ffill').multiply( + generate_periodic_profiles( + n.snapshots, + weekly_profile=np.r_[np.repeat(intraday_profiles['weekday'], 5), np.repeat(intraday_profiles['weekend'], 2)]), + axis=0)) * heating_space + + # cop = (pd.read_csv(snakemake.input.cop, index_col=0, parse_dates=True)) + + heat_demand = heat_demand + heat_demand_space + + return heat_demand + +def add_water_heating(n): + ##### CHP Parameters + ###### electrical efficiency with no heat output + eta_elec = 0.468 + ###### loss of fuel for each addition of heat + c_v = 0.15 + ###### backpressure ratio + c_m = 0.75 + ###### ratio of max heat output to max electrical output + p_nom_ratio = 1. + + + heat_demand = compute_heat_demand(n) + + network.add("Carrier", "heat") + + network.add("Bus", node + " heat", carrier="heat") + network.add("Link", node + " heat pump", + bus0=node, + bus1=node + " heat", + efficiency=cop[node], #cop for 2011 time_dep_hp_cop + capital_cost=(annuity(20,discountrate)+0.015)*3.*1.050e6, #20a, 1% FOM, 1050 EUR/kWth from [HP] NB: PyPSA uses bus0 for p_nom restriction, hence factor 3 to get 3150 EUR/kWel + p_nom_extendable=True + ) + network.add("Load", node + " heat", + bus=node + " heat", + p_set= heat_demand[node] + ) + network.add("Link", node + " resistive heater", + bus0=node, + bus1=node + " heat", + efficiency=0.9, + capital_cost=(annuity(20,discountrate)+0.02)*0.9*1.e5, #100 EUR/kW_th, 2% FOM from Schaber thesis + p_nom_extendable=True, + ) + + + ##### H2 bus w/methanation + # methanation + network.add("Link", + node + " Sabatier", + bus0=node+" H2", + bus1=node+" OCGT", + p_nom_extendable=True, + #Efficiency from Katrin Schaber PhD thesis + efficiency=0.77, + #Costs from Katrin Schaber PhD thesis; comparable with HP (1.5e6 including H2 electrolysis) + capital_cost=(annuity(20.,discountrate)+0.02)*1.1e6*Nyears) + # gas boiler + network.add("Link", node + " gas boiler", + p_nom_extendable=True, + bus0=node + " OCGT", + bus1=node + " heat", + capital_cost=(annuity(20,0.07)+0.01)*0.9*3.e5, #300 EUR/kW_th, 1% FOM from Schaber thesis, 20a from HP + efficiency=0.9,) + # chp - standardmäßig rein? Ist es jetzt auf jeden Fall! + network.add("Link", node + " CHP electric", + bus0=node+ " OCGT", + bus1=node, + capital_cost=(annuity(25,0.07)+0.03)*1.4e6*eta_elec, #From HP decentral + efficiency=eta_elec, + p_nom_extendable=True) + network.add("Link", node + " CHP heat", + p_nom_extendable=True, + bus0=node + " OCGT", + bus1=node + " heat", + capital_cost=0., + efficiency=eta_elec/c_v) + + + + ##### heat flexibilities: + if "TES" in flexibilities: + network.add("Carrier","water tanks") + network.add("Bus", node + " water tanks", carrier="water tanks") + network.add("Link", node + " water tanks charger", + bus0=node + " heat", + bus1=node + " water tanks", + efficiency=0.9, + capital_cost=0., + p_nom_extendable=True + ) + network.add("Link", node + " water tanks discharger", + bus0=node + " water tanks", + bus1=node + " heat", + efficiency=0.9, + capital_cost=0., + p_nom_extendable=True + ) + network.add("Store", node + " water tank", + bus=node + " water tanks", + e_cyclic=True, + e_nom_extendable=True, + standing_loss=1-np.exp(-1/(24.*180)), #options["tes_tau"])), # [HP] 180 day time constant for centralised, 3 day for decentralised + capital_cost=(annuity(40,discountrate)+0.01)*20/(1.17e-3*40), #[HP] 40 years, 20 EUR/m^3 in EUR/MWh for 40 K diff and 1.17 kWh/m^2, 1% FOM + ) +#################################################################### + + +if __name__ == "__main__": + n = pypsa.Network(snakemake.input.network) + sectors = set(snakemake.wildcards.sectors.split('+')) + + if 'EV' in sectors or 'BEV' in sectors: + add_transport(n, BEV='BEV' in sectors, V2G='V2G' in sectors) + + # if 'WEH' in sectors: + # add_water_heating(n) + + n.export_to_netcdf(snakemake.output[0]) + diff --git a/scripts/archive/apply_wind_correction.py b/scripts/archive/apply_wind_correction.py new file mode 100755 index 0000000..9b2aa23 --- /dev/null +++ b/scripts/archive/apply_wind_correction.py @@ -0,0 +1,85 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# +# SPDX-FileCopyrightText: : 2017-2022 Meridian Economics +# +# SPDX-License-Identifier: MIT + +""" +The ERA5 grid spacing of ~30km results in predictions of annual average capacity factors in wind locations +in South Africa that are underestimated. This function takes the predicted hourly wind speed at 100m from +the cutout and scales it so that the average annual matches the high resolution data from the Wind Atlas https://globalwindatlas.info/en. + +Within each cell the 75% quantile of the Wind Atlas data is used to scale the ERA5 wind speed. +""" + +import logging +import atlite +import geopandas as gpd +import pandas as pd +import numpy as np +import xarray as xr +import rasterio +import rioxarray +import shapely +#from _helpers import configure_logging +import warnings +warnings.filterwarnings(action='ignore', category=RuntimeWarning) +logger = logging.getLogger(__name__) +from progressbar import progressbar + +if __name__ == "__main__": + if "snakemake" not in globals(): + from _helpers import mock_snakemake + snakemake = mock_snakemake("apply_wind_correction", + cutout="RSA-2012-era5") + + cutout = atlite.Cutout(snakemake.input.cutout) + cells = cutout.grid + + era5_wnd100m=cutout.data.wnd100m.to_dataframe() + era5_wnd100m_corrected=era5_wnd100m.copy() + + logging.info(f"Scaling annual wind speed at 100m to match {snakemake.input.wasa_map} at each cell in the cutout.") + + gwa_data = rioxarray.open_rasterio(snakemake.input.wasa_map) + gwa_data_clipped = gwa_data.rio.clip_box(16.46, -34.82, 32.94, -22.13) + + # wasa=xr.open_dataarray(snakemake.input.wasa_map) + # clipped_wasa = wasa.rio.clip_box(16.46, -34.82, 32.94, -22.13) + + # Remove GWA data associated with unusable terrain + terrain_roughness = rioxarray.open_rasterio(snakemake.input.terrain_ruggedness_index) + terrain_roughness = terrain_roughness.interp(x=gwa_data_clipped.coords['x'], y=gwa_data_clipped.coords['y'], method="linear") + terrain_roughness.values[(terrain_roughness.values>0)&(terrain_roughness.values<=200)]=1 + terrain_roughness.values[terrain_roughness.values>200]=np.nan + terrain_roughness.values[terrain_roughness.values<0]=np.nan + gwa_data_clipped.values = np.multiply(terrain_roughness.values,gwa_data_clipped.values) + + ds=gwa_data_clipped.sel(band=1, x=slice(*cutout.extent[[0,1]]), y=slice(*cutout.extent[[3,2]])) + ds=ds.where(ds!=-999) + ds=atlite.gis.regrid(ds,cutout.data.x, cutout.data.y,resampling=rasterio.warp.Resampling.average) + + bias_correction=ds/cutout.data.wnd100m.mean("time") + + # Correct wind speed in each grid cell of the cutout. This can take up to 10min, but only needs to + # be run once for each cutout and then can be disabled. + for c in progressbar(cells.index): + bounds=cells.geometry.bounds.loc[c,:] + mask_lon = (clipped_wasa.x >= bounds['minx']) & (clipped_wasa.x <= bounds['maxx']) + mask_lat = (clipped_wasa.y >= bounds['miny']) & (clipped_wasa.y <= bounds['maxy']) + cell_wasa = clipped_wasa.where(mask_lon & mask_lat, drop=True) + cell_wasa_mean = np.nanquantile((cell_wasa.values),0.75) + + xpos = cells.loc[c,'x'] + ypos = cells.loc[c,'y'] + + era5_mean = era5_wnd100m.loc[(slice(None),ypos,xpos),'wnd100m'].mean() + if (np.isnan(cell_wasa_mean)) | (era5_mean==0): + era5_wnd100m_corrected.loc[(slice(None),ypos,xpos),'wnd100m']=era5_wnd100m.loc[(slice(None),ypos,xpos),'wnd100m'] + else: + era5_wnd100m_corrected.loc[(slice(None),ypos,xpos),'wnd100m']=((cell_wasa_mean/era5_mean) + *era5_wnd100m.loc[(slice(None),ypos,xpos),'wnd100m']) + + cutout.data.wnd100m.data=era5_wnd100m_corrected.to_xarray().chunk(cutout.chunks).wnd100m.data + cutout.to_file(snakemake.output[0]) \ No newline at end of file diff --git a/scripts/build_landuse_map_to_tech_and_supply_region.py b/scripts/archive/build_landuse_map_to_tech_and_supply_region.py old mode 100644 new mode 100755 similarity index 61% rename from scripts/build_landuse_map_to_tech_and_supply_region.py rename to scripts/archive/build_landuse_map_to_tech_and_supply_region.py index 9638bf4..0907935 --- a/scripts/build_landuse_map_to_tech_and_supply_region.py +++ b/scripts/archive/build_landuse_map_to_tech_and_supply_region.py @@ -1,55 +1,82 @@ -import numpy as np -import pandas as pd -import geopandas as gpd -import rasterio, rasterio.features, rasterio.mask -import rasterstats -import shapely.geometry - -# Translate the landuse file into a raster of percentages of available area -landusetype_percent = snakemake.config['respotentials']['landusetype_percent'][snakemake.wildcards.tech] - -with rasterio.open(snakemake.input.landuse) as src, rasterio.open(snakemake.output.raster, 'w', **src.meta) as dst: - - resareas = gpd.read_file(snakemake.input.resarea).to_crs(src.crs) - regions = gpd.read_file(snakemake.input.supply_regions).to_crs(src.crs) - - stats = [] - - for region in regions.itertuples(): - resareas_b = resareas.intersects(region.geometry) - if not resareas_b.any(): - dst.write_band(1, dst_data, window=window) - stats.append({'mean': 0.}) - continue - - minx, miny, maxx, maxy = region.geometry.bounds - minx -= (maxx - minx)*0.05 - maxx += (maxx - minx)*0.05 - miny -= (maxy - miny)*0.05 - maxy += (maxy - miny)*0.05 - - window = rasterio.windows.from_bounds(minx, miny, maxx, maxy, src.transform) - box = shapely.geometry.box(minx, miny, maxx, maxy) - transform = rasterio.windows.transform(window, src.transform) - - src_data = src.read(1, window=window) - dst_data = np.zeros_like(src_data) - - for grid_codes, value in landusetype_percent: - dst_data.ravel()[np.in1d(src_data.ravel(), grid_codes)] = value - - mask = rasterio.mask.geometry_mask(resareas.loc[resareas_b, 'geometry'], dst_data.shape, transform) - dst_data = np.ma.array(dst_data, mask=mask, fill_value=0).filled() - - dst.write_band(1, dst_data, window=window) - - stats.extend(rasterstats.zonal_stats(region.geometry, dst_data, affine=transform, - nodata=-999, stats='mean')) - - stats = pd.DataFrame(stats) - - stats['area_ratio'] = stats.pop('mean') / 100 - stats['area'] = regions.to_crs(dict(proj='aea')).area/1e6 # albert equal area has area in m^2 - stats['available_area'] = stats['area_ratio'] * stats['area'] - - stats.set_index(regions.name).to_csv(snakemake.output.area) +import numpy as np +import pandas as pd +import geopandas as gpd +import rasterio, rasterio.features, rasterio.mask +import rasterstats +import shapely.geometry + + +if 'snakemake' not in globals(): + from _helpers import mock_snakemake + snakemake = mock_snakemake('build_landuse_map_to_tech_and_supply_region', **{'model_file':'IRP-2019', + 'tech':'wind', + 'regions':'RSA',#'27-supply', + 'resarea':'redz', + 'll':'copt', + 'opts':'LC'}) + + +if snakemake.wildcards.regions == '1-supply': # Solve available area in 10 or 27 supply regions and then sum to RSA to save memory + RSA_flag=True + snakemake.wildcards.regions='11-supply' + snakemake.input.supply_regions = "data/supply_regions/supply_regions_11-supply.shp" +else: + RSA_flag=False + +area_crs = snakemake.config["crs"]["area_crs"] + +# Translate the landuse file into a raster of percentages of available area +landusetype_percent = snakemake.config['respotentials']['landusetype_percent'][snakemake.wildcards.tech] + +with rasterio.open(snakemake.input.landuse) as src, rasterio.open(snakemake.output.raster, 'w', **src.meta) as dst: + + resareas = gpd.read_file(snakemake.input.resarea).to_crs(src.crs) + regions = gpd.read_file(snakemake.input.supply_regions).to_crs(src.crs) + + stats = [] + + for region in regions.itertuples(): + resareas_b = resareas.intersects(region.geometry) + if not resareas_b.any(): + dst.write_band(1, dst_data, window=window) + stats.append({'mean': 0.}) + continue + + minx, miny, maxx, maxy = region.geometry.bounds + minx -= (maxx - minx)*0.05 + maxx += (maxx - minx)*0.05 + miny -= (maxy - miny)*0.05 + maxy += (maxy - miny)*0.05 + + window = rasterio.windows.from_bounds(minx, miny, maxx, maxy, src.transform) + box = shapely.geometry.box(minx, miny, maxx, maxy) + transform = rasterio.windows.transform(window, src.transform) + + src_data = src.read(1, window=window) + dst_data = np.zeros_like(src_data) + + for grid_codes, value in landusetype_percent: + dst_data.ravel()[np.in1d(src_data.ravel(), grid_codes)] = value + + mask = rasterio.mask.geometry_mask(resareas.loc[resareas_b, 'geometry'], dst_data.shape, transform) + dst_data = np.ma.array(dst_data, mask=mask, fill_value=0).filled() + + dst.write_band(1, dst_data, window=window) + + stats.extend(rasterstats.zonal_stats(region.geometry, dst_data, affine=transform, + nodata=-999, stats='mean')) + + stats = pd.DataFrame(stats) + + stats['area_ratio'] = stats.pop('mean') / 100 + stats['area'] = regions.to_crs(area_crs).area/1e6 # albert equal area has area in m^2 + stats['available_area'] = stats['area_ratio'] * stats['area'] + + if RSA_flag==True: + area_data = stats.sum() + area_output = pd.DataFrame(stats.sum(),columns=['RSA']).T + area_output.loc['area_ratio'] = area_output['available_area']/area_output['area'] + area_output.to_csv(snakemake.output.area) + else: + stats.set_index(regions.name).to_csv(snakemake.output.area) + diff --git a/scripts/build_landuse_remove_protected_and_conservation_areas.py b/scripts/archive/build_landuse_remove_protected_and_conservation_areas.py old mode 100644 new mode 100755 similarity index 96% rename from scripts/build_landuse_remove_protected_and_conservation_areas.py rename to scripts/archive/build_landuse_remove_protected_and_conservation_areas.py index c5e0eb8..b7af629 --- a/scripts/build_landuse_remove_protected_and_conservation_areas.py +++ b/scripts/archive/build_landuse_remove_protected_and_conservation_areas.py @@ -1,15 +1,15 @@ -import rasterio, rasterio.features -import geopandas as gpd -import os - -src = rasterio.open(snakemake.input.landuse) -data = src.read(1) - -for n in ('protected_areas', 'conservation_areas'): - area_dir = snakemake.input[n] - - sh = gpd.read_file(area_dir).to_crs(src.crs) - rasterio.features.rasterize(sh['geometry'], out=data, transform=src.transform, default_value=0) - -with rasterio.open(snakemake.output[0], 'w', **src.meta) as dst: - dst.write_band(1, data) +import rasterio, rasterio.features +import geopandas as gpd +import os + +src = rasterio.open(snakemake.input.landuse) +data = src.read(1) + +for n in ('protected_areas', 'conservation_areas'): + area_dir = snakemake.input[n] + + sh = gpd.read_file(area_dir).to_crs(src.crs) + rasterio.features.rasterize(sh['geometry'], out=data, transform=src.transform, default_value=0) + +with rasterio.open(snakemake.output[0], 'w', **src.meta) as dst: + dst.write_band(1, data) diff --git a/scripts/archive/prepare_network.py b/scripts/archive/prepare_network.py new file mode 100644 index 0000000..03b4671 --- /dev/null +++ b/scripts/archive/prepare_network.py @@ -0,0 +1,598 @@ +# SPDX-FileCopyrightText: PyPSA-ZA2, PyPSA-ZA, PyPSA-Earth and PyPSA-Eur Authors +# # SPDX-License-Identifier: MIT +# coding: utf-8 +""" +Prepare PyPSA network for solving according to :ref:`opts` and :ref:`ll`, such as + +- adding an annual **limit** of carbon-dioxide emissions, +- adding an exogenous **price** per tonne emissions of carbon-dioxide (or other kinds), +- setting an **N-1 security margin** factor for transmission line capacities, +- specifying an expansion limit on the **cost** of transmission expansion, +- specifying an expansion limit on the **volume** of transmission expansion, and +- reducing the **temporal** resolution by averaging over multiple hours + or segmenting time series into chunks of varying lengths using ``tsam``. + +Relevant Settings +----------------- + +.. code:: yaml + + costs: + emission_prices: + USD2013_to_EUR2013: + discountrate: + marginal_cost: + capital_cost: + + electricity: + co2limit: + max_hours: + +.. seealso:: + Documentation of the configuration file ``config.yaml`` at + :ref:`costs_cf`, :ref:`electricity_cf` + +Inputs +------ + +- ``data/costs.csv``: The database of cost assumptions for all included technologies for specific years from various sources; e.g. discount rate, lifetime, investment (CAPEX), fixed operation and maintenance (FOM), variable operation and maintenance (VOM), fuel costs, efficiency, carbon-dioxide intensity. +- ``networks/elec_s{simpl}_{clusters}.nc``: confer :ref:`cluster` + +Outputs +------- + +- ``networks/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc``: Complete PyPSA network that will be handed to the ``solve_network`` rule. + +Description +----------- + +.. tip:: + The rule :mod:`prepare_all_networks` runs + for all ``scenario`` s in the configuration file + the rule :mod:`prepare_network`. + +""" +import logging +import re + +import numpy as np +import pandas as pd +import pypsa +from pypsa.linopt import get_var, write_objective, define_constraints, linexpr +from pypsa.descriptors import get_switchable_as_dense as get_as_dense +from pypsa.descriptors import expand_series +from pypsa.optimization.common import reindex + +from _helpers import configure_logging, clean_pu_profiles, remove_leap_day, normalize_and_rename_df, assign_segmented_df_to_network +from add_electricity import load_costs, update_transmission_costs +from concurrent.futures import ProcessPoolExecutor +import xarray as xr +import warnings +warnings.simplefilter(action='ignore', category=FutureWarning) # Comment out for debugging and development + +idx = pd.IndexSlice +logger = logging.getLogger(__name__) + +""" +******************************************************************************** + Build limit constraints +******************************************************************************** +""" +def set_extendable_limits_global(n, model_file, model_setup): + ext_years = n.investment_periods if n.multi_invest else [n.snapshots[0].year] + sense = {"max": "<=", "min": ">="} + ignore = {"max": "unc", "min": 0} + + global_limits = { + lim: pd.read_excel( + model_file, + sheet_name=f'extendable_{lim}_build', + index_col=[0, 1, 3, 2, 4], + ).loc[(model_setup["extendable_build_limits"], "global", slice(None), slice(None)), ext_years] + for lim in ["max", "min"] + } + + for lim, global_limit in global_limits.items(): + global_limit.index = global_limit.index.droplevel([0, 1, 2, 3]) + global_limit = global_limit.loc[~(global_limit == ignore[lim]).all(axis=1)] + + constraints = [ + { + "name": f"global_{lim}-{carrier}-{y}", + "carrier_attribute": carrier, + "sense": sense[lim], + "investment_period": y, + "type": "tech_capacity_expansion_limit", + "constant": global_limit.loc[carrier, y], + } + for carrier in global_limit.index + for y in ext_years + if global_limit.loc[carrier, y] != ignore[lim] + ] + + for constraint in constraints: + n.add("GlobalConstraint", **constraint) + + +def set_extendable_limits_per_bus(n, model_file, model_setup): + ext_years = n.investment_periods if n.multi_invest else [n.snapshots[0].year] + ignore = {"max": "unc", "min": 0} + + global_limits = { + lim: pd.read_excel( + model_file, + sheet_name=f'extendable_{lim}_build', + index_col=[0, 1, 3, 2, 4], + ).loc[(model_setup["extendable_build_limits"], snakemake.wildcards.regions, slice(None)), ext_years] + for lim in ["max", "min"] + } + + for lim, global_limit in global_limits.items(): + global_limit.index = global_limit.index.droplevel([0, 1, 2]) + global_limit = global_limit.loc[~(global_limit == ignore[lim]).all(axis=1)] + + for idx in global_limit.index: + for y in ext_years: + if global_limit.loc[idx, y] != ignore[lim]: + n.buses.loc[idx[0],f"nom_{lim}_{idx[1]}_{y}"] = global_limit.loc[idx, y] + + + +""" +******************************************************************************** + Emissions limits and pricing +******************************************************************************** +""" + +def add_co2limit(n): + n.add("GlobalConstraint", "CO2Limit", + carrier_attribute="co2_emissions", sense="<=", + constant=snakemake.config["electricity"]["co2limit"]) + +def add_emission_prices(n, emission_prices=None, exclude_co2=False): + if emission_prices is None: + emission_prices = snakemake.config["costs"]["emission_prices"] + if exclude_co2: emission_prices.pop("co2") + ep = (pd.Series(emission_prices).rename(lambda x: x+"_emissions") * n.carriers).sum(axis=1) + n.generators["marginal_cost"] += n.generators.carrier.map(ep) + n.storage_units["marginal_cost"] += n.storage_units.carrier.map(ep) + +def add_co2limit(n): + n.add("GlobalConstraint", "CO2Limit", + carrier_attribute="co2_emissions", + sense="<=", + constant=snakemake.config['electricity']['co2limit']) + + +def add_emission_prices(n, emission_prices={"co2": 0.0}, exclude_co2=False): + if exclude_co2: + emission_prices.pop("co2") + ep = ( + pd.Series(emission_prices).rename(lambda x: x + "_emissions") + * n.carriers.filter(like="_emissions") + ).sum(axis=1) + gen_ep = n.generators.carrier.map(ep) / n.generators.efficiency + n.generators["marginal_cost"] += gen_ep + su_ep = n.storage_units.carrier.map(ep) / n.storage_units.efficiency_dispatch + n.storage_units["marginal_cost"] += su_ep + + +""" +******************************************************************************** + Reserve margin +******************************************************************************** +""" + +# def add_peak_demand_hour_without_variable_feedin(n): +# new_hour = n.snapshots[-1] + pd.Timedelta(hours=1) +# n.set_snapshots(n.snapshots.append(pd.Index([new_hour]))) + +# # Don"t value new hour for energy totals +# n.snapshot_weightings[new_hour] = 0. + +# # Don"t allow variable feed-in in this hour +# n.generators_t.p_max_pu.loc[new_hour] = 0. + +# n.loads_t.p_set.loc[new_hour] = ( +# n.loads_t.p_set.loc[n.loads_t.p_set.sum(axis=1).idxmax()] +# * (1.+snakemake.config["electricity"]["SAFE_reservemargin"]) +# ) + + +""" +******************************************************************************** + Transmission constraints +******************************************************************************** +""" + +def set_line_s_max_pu(n): + s_max_pu = snakemake.config["lines"]["s_max_pu"] + n.lines["s_max_pu"] = s_max_pu + logger.info(f"N-1 security margin of lines set to {s_max_pu}") + + +def set_transmission_limit(n, ll_type, factor, costs, Nyears=1): + links_dc_b = n.links.carrier == "DC" if not n.links.empty else pd.Series() + + _lines_s_nom = ( + np.sqrt(3) + * n.lines.type.map(n.line_types.i_nom) + * n.lines.num_parallel + * n.lines.bus0.map(n.buses.v_nom) + ) + lines_s_nom = n.lines.s_nom.where(n.lines.type == "", _lines_s_nom) + + col = "capital_cost" if ll_type == "c" else "length" + ref = ( + lines_s_nom @ n.lines[col] + + n.links.loc[links_dc_b, "p_nom"] @ n.links.loc[links_dc_b, col] + ) + + update_transmission_costs(n, costs) + + if factor == "opt" or float(factor) > 1.0: + n.lines["s_nom_min"] = lines_s_nom + n.lines["s_nom_extendable"] = True + + n.links.loc[links_dc_b, "p_nom_min"] = n.links.loc[links_dc_b, "p_nom"] + n.links.loc[links_dc_b, "p_nom_extendable"] = True + + if factor != "opt": + con_type = "expansion_cost" if ll_type == "c" else "volume_expansion" + rhs = float(factor) * ref + n.add( + "GlobalConstraint", + f"l{ll_type}_limit", + type=f"transmission_{con_type}_limit", + sense="<=", + constant=rhs, + carrier_attribute="AC, DC", + ) + return n + +def set_line_nom_max(n, s_nom_max_set=np.inf, p_nom_max_set=np.inf): + n.lines.s_nom_max.clip(upper=s_nom_max_set, inplace=True) + n.links.p_nom_max.clip(upper=p_nom_max_set, inplace=True) + +""" +******************************************************************************** + Time step reduction +******************************************************************************** +""" + +def average_every_nhours(n, offset): + logger.info(f"Resampling the network to {offset}") + m = n.copy()#with_time=False) + snapshots_unstacked = n.snapshots.get_level_values(1) + + snapshot_weightings = n.snapshot_weightings.copy().set_index(snapshots_unstacked).resample(offset).sum() + snapshot_weightings = remove_leap_day(snapshot_weightings) + snapshot_weightings=snapshot_weightings[snapshot_weightings.index.year.isin(n.investment_periods)] + snapshot_weightings.index = pd.MultiIndex.from_arrays([snapshot_weightings.index.year, snapshot_weightings.index]) + m.set_snapshots(snapshot_weightings.index) + m.snapshot_weightings = snapshot_weightings + + for c in n.iterate_components(): + pnl = getattr(m, c.list_name + "_t") + for k, df in c.pnl.items(): + if not df.empty: + resampled = df.set_index(snapshots_unstacked).resample(offset).mean() + resampled = remove_leap_day(resampled) + resampled=resampled[resampled.index.year.isin(n.investment_periods)] + resampled.index = snapshot_weightings.index + pnl[k] = resampled + return m + +def single_year_segmentation(n, snapshots, segments, config): + + p_max_pu, p_max_pu_max = normalize_and_rename_df(n.generators_t.p_max_pu, snapshots, 1, 'max') + load, load_max = normalize_and_rename_df(n.loads_t.p_set, snapshots, 1, "load") + inflow, inflow_max = normalize_and_rename_df(n.storage_units_t.inflow, snapshots, 0, "inflow") + + raw = pd.concat([p_max_pu, load, inflow], axis=1, sort=False) + + if isinstance(raw.index, pd.MultiIndex): + multi_index = True + raw.index = raw.index.droplevel(0) + + y = snapshots.get_level_values(0)[0] if multi_index else snapshots[0].year + + agg = tsam.TimeSeriesAggregation( + raw, + hoursPerPeriod=len(raw), + noTypicalPeriods=1, + noSegments=int(segments), + segmentation=True, + solver=config['solver'], + ) + + segmented_df = agg.createTypicalPeriods() + weightings = segmented_df.index.get_level_values("Segment Duration") + cumsum = np.cumsum(weightings[:-1]) + + if np.floor(y/4)-y/4 == 0: # check if leap year and add Feb 29 + cumsum = np.where(cumsum >= 1416, cumsum + 24, cumsum) # 1416h from start year to Feb 29 + + offsets = np.insert(cumsum, 0, 0) + start_snapshot = snapshots[0] + snapshots = pd.DatetimeIndex([start_snapshot[1] + pd.Timedelta(hours=offset) for offset in offsets]) + snapshots = pd.MultiIndex.from_arrays([snapshots.year, snapshots]) if multi_index else snapshots + weightings = pd.Series(weightings, index=snapshots, name="weightings", dtype="float64") + segmented_df.index = snapshots + + segmented_df[p_max_pu.columns] *= p_max_pu_max + segmented_df[load.columns] *= load_max + segmented_df[inflow.columns] *= inflow_max + + logging.info(f"Segmentation complete for period: {y}") + + return segmented_df, weightings + +def apply_time_segmentation(n, segments, config): + logging.info(f"Aggregating time series to {segments} segments.") + years = n.investment_periods if n.multi_invest else [n.snapshots[0].year] + + if len(years) == 1: + segmented_df, weightings = single_year_segmentation(n, n.snapshots, segments, config) + else: + + with ProcessPoolExecutor(max_workers = min(len(years),config['nprocesses'])) as executor: + parallel_seg = { + year: executor.submit( + single_year_segmentation, + n, + n.snapshots[n.snapshots.get_level_values(0) == year], + segments, + config + ) + for year in years + } + + segmented_df = pd.concat( + [parallel_seg[year].result()[0] for year in parallel_seg], axis=0 + ) + weightings = pd.concat( + [parallel_seg[year].result()[1] for year in parallel_seg], axis=0 + ) + + n.set_snapshots(segmented_df.index) + n.snapshot_weightings = weightings + + assign_segmented_df_to_network(segmented_df, "_load", "", n.loads_t.p_set) + assign_segmented_df_to_network(segmented_df, "_max", "", n.generators_t.p_max_pu) + assign_segmented_df_to_network(segmented_df, "_min", "", n.generators_t.p_min_pu) + assign_segmented_df_to_network(segmented_df, "_inflow", "", n.storage_units_t.inflow) + + return n + + + +# def apply_time_segmentation_perfect( +# n, segments, solver_name="cbc", overwrite_time_dependent=True +# ): +# """ +# Aggregating time series to segments with different lengths. + +# Input: +# n: pypsa Network +# segments: (int) number of segments in which the typical period should be +# subdivided +# solver_name: (str) name of solver +# overwrite_time_dependent: (bool) overwrite time dependent data of pypsa network +# with typical time series created by tsam +# """ +# try: +# import tsam.timeseriesaggregation as tsam +# except: +# raise ModuleNotFoundError( +# "Optional dependency 'tsam' not found." "Install via 'pip install tsam'" +# ) + +# # get all time-dependent data +# columns = pd.MultiIndex.from_tuples([], names=["component", "key", "asset"]) +# raw = pd.DataFrame(index=n.snapshots, columns=columns) +# for c in n.iterate_components(): +# for attr, pnl in c.pnl.items(): +# # exclude e_min_pu which is used for SOC of EVs in the morning +# if not pnl.empty and attr != "e_min_pu": +# df = pnl.copy() +# df.columns = pd.MultiIndex.from_product([[c.name], [attr], df.columns]) +# raw = pd.concat([raw, df], axis=1) +# raw = raw.dropna(axis=1) +# sn_weightings = {} + +# for year in raw.index.levels[0]: +# logger.info(f"Find representative snapshots for {year}.") +# raw_t = raw.loc[year] +# # normalise all time-dependent data +# annual_max = raw_t.max().replace(0, 1) +# raw_t = raw_t.div(annual_max, level=0) +# # get representative segments +# agg = tsam.TimeSeriesAggregation( +# raw_t, +# hoursPerPeriod=len(raw_t), +# noTypicalPeriods=1, +# noSegments=int(segments), +# segmentation=True, +# solver=solver_name, +# ) +# segmented = agg.createTypicalPeriods() + +# weightings = segmented.index.get_level_values("Segment Duration") +# offsets = np.insert(np.cumsum(weightings[:-1]), 0, 0) +# timesteps = [raw_t.index[0] + pd.Timedelta(f"{offset}h") for offset in offsets] +# snapshots = pd.DatetimeIndex(timesteps) +# sn_weightings[year] = pd.Series( +# weightings, index=snapshots, name="weightings", dtype="float64" +# ) + +# sn_weightings = pd.concat(sn_weightings) +# n.set_snapshots(sn_weightings.index) +# n.snapshot_weightings = n.snapshot_weightings.mul(sn_weightings, axis=0) + +# return n + +if __name__ == "__main__": + if 'snakemake' not in globals(): + from _helpers import mock_snakemake + snakemake = mock_snakemake( + 'prepare_network', + **{ + 'model_file':'grid-expansion', + 'regions':'11-supply', + 'resarea':'redz', + 'll':'copt', + 'opts':'LC-3000SEG' + } + ) + #configure_logging(snakemake) + n = pypsa.Network(snakemake.input[0]) + + + model_file = pd.ExcelFile(snakemake.input.model_file) + model_setup = ( + pd.read_excel( + model_file, + sheet_name="model_setup", + index_col=[0]) + .loc[snakemake.wildcards.model_file] + ) + + opts = snakemake.wildcards.opts.split("-") + for o in opts: + m = re.match(r"^\d+h$", o, re.IGNORECASE) + if m is not None: + n = average_every_nhours(n, m[0]) + break + + for o in opts: + m = re.match(r"^\d+SEG$", o, re.IGNORECASE) + if m is not None: + try: + import tsam.timeseriesaggregation as tsam + except: + raise ModuleNotFoundError( + "Optional dependency 'tsam' not found." "Install via 'pip install tsam'" + ) + n = apply_time_segmentation(n, m[0][:-3], snakemake.config["tsam_clustering"]) + break + + + for o in opts: + if "Co2L" in o: + m = re.findall("[0-9]*\.?[0-9]+$", o) + if len(m) > 0: + co2limit = float(m[0]) * snakemake.config["electricity"]["co2base"] + add_co2limit(n) + logging.info("Setting CO2 limit according to wildcard value.") + else: + add_co2limit(n) + logging.info("Setting CO2 limit according to config value.") + break + + Nyears = n.snapshot_weightings.objective.sum() / 8760.0 + set_line_s_max_pu(n) + ll_type, factor = snakemake.wildcards.ll[0], snakemake.wildcards.ll[1:] + costs = load_costs(n, model_file, model_setup.costs, snakemake) + + #set_transmission_limit(n, ll_type, factor, costs, Nyears) + + set_line_nom_max( + n, + s_nom_max_set=snakemake.config["lines"].get("s_nom_max,", np.inf), + p_nom_max_set=snakemake.config["links"].get("p_nom_max,", np.inf), + ) + + + set_extendable_limits_global(n, model_file, model_setup) + set_extendable_limits_per_bus(n, model_file, model_setup) + + #apply_time_segmentation(n, 100, {"solver":"cbc", "nprocesses":5}) + + n.export_to_netcdf(snakemake.output[0]) + + + # opts = snakemake.wildcards.opts.split("-") + + # Nyears = n.snapshot_weightings.objective.sum() / 8760.0 + # costs = load_costs( + # snakemake.input.model_file, + # model_setup.costs, + # snakemake.config["costs"], + # snakemake.config["electricity"], + # n.investment_periods, + # ) + + + # set_line_s_max_pu(n) + + # for o in opts: + # m = re.match(r"^\d+h$", o, re.IGNORECASE) + # if m is not None: + # n = average_every_nhours(n, m.group(0)) + # break + + + # for o in opts: + # m = re.match(r"^\d+SEG$", o, re.IGNORECASE) + # if m is not None: + # n = apply_time_segmentation(n, m.group(0)[:-3],snakemake.config["tsam_clustering"]) + # break + + # for o in opts: + # if "Co2L" in o: + # m = re.findall("[0-9]*\.?[0-9]+$", o) + # if len(m) > 0: + # co2limit = float(m[0]) * snakemake.config["electricity"]["co2base"] + # add_co2limit(n) + # logger.info("Setting CO2 limit according to wildcard value.") + # else: + # add_co2limit(n) + # logger.info("Setting CO2 limit according to config value.") + # break + + # for o in opts: + # if "CH4L" in o: + # m = re.findall("[0-9]*\.?[0-9]+$", o) + # if len(m) > 0: + # limit = float(m[0]) * 1e6 + # add_gaslimit(n, limit, Nyears) + # logging.info("Setting gas usage limit according to wildcard value.") + # else: + # add_gaslimit(n, snakemake.config["electricity"].get("gaslimit"), Nyears) + # logging.info("Setting gas usage limit according to config value.") + + # for o in opts: + # oo = o.split("+") + # suptechs = map(lambda c: c.split("-", 2)[0], n.carriers.index) + # if oo[0].startswith(tuple(suptechs)): + # carrier = oo[0] + # # handles only p_nom_max as stores and lines have no potentials + # attr_lookup = { + # "p": "p_nom_max", + # "c": "capital_cost", + # "m": "marginal_cost", + # } + # attr = attr_lookup[oo[1][0]] + # factor = float(oo[1][1:]) + # if carrier == "AC": # lines do not have carrier + # n.lines[attr] *= factor + # else: + # comps = {"Generator", "Link", "StorageUnit", "Store"} + # for c in n.iterate_components(comps): + # sel = c.df.carrier.str.contains(carrier) + # c.df.loc[sel, attr] *= factor + + # for o in opts: + # if "Ep" in o: + # m = re.findall("[0-9]*\.?[0-9]+$", o) + # if len(m) > 0: + # logging.info("Setting emission prices according to wildcard value.") + # add_emission_prices(n, dict(co2=float(m[0]))) + # else: + # logging.info("Setting emission prices according to config value.") + # add_emission_prices(n, snakemake.config["costs"]["emission_prices"]) + # break + + + #n.export_to_netcdf(snakemake.output[0]) diff --git a/scripts/archive/solve_network.py b/scripts/archive/solve_network.py new file mode 100644 index 0000000..1b4b9cd --- /dev/null +++ b/scripts/archive/solve_network.py @@ -0,0 +1,764 @@ +# SPDX-FileCopyrightText: PyPSA-ZA2, PyPSA-ZA, PyPSA-Earth and PyPSA-Eur Authors +# SPDX-License-Identifier: MIT + +""" +Solves linear optimal power flow for a network iteratively while updating reactances. + +Relevant Settings +----------------- + +.. code:: yaml + + solving: + tmpdir: + options: + formulation: + clip_p_max_pu: + load_shedding: + noisy_costs: + nhours: + min_iterations: + max_iterations: + skip_iterations: + track_iterations: + solver: + name: + +.. seealso:: + Documentation of the configuration file ``config.yaml`` at + :ref:`electricity_cf`, :ref:`solving_cf`, :ref:`plotting_cf` + +Inputs +------ + +- ``networks/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc``: confer :ref:`prepare` + +Outputs +------- + +- ``results/networks/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc``: Solved PyPSA network including optimisation results + + .. image:: ../img/results.png + :scale: 40 % + +Description +----------- + +Total annual system costs are minimised with PyPSA. The full formulation of the +linear optimal power flow (plus investment planning +is provided in the +`documentation of PyPSA `_. +The optimization is based on the ``pyomo=False`` setting in the :func:`network.lopf` and :func:`pypsa.linopf.ilopf` function. +Additionally, some extra constraints specified in :mod:`prepare_network` are added. + +Solving the network in multiple iterations is motivated through the dependence of transmission line capacities and impedances on values of corresponding flows. +As lines are expanded their electrical parameters change, which renders the optimisation bilinear even if the power flow +equations are linearized. +To retain the computational advantage of continuous linear programming, a sequential linear programming technique +is used, where in between iterations the line impedances are updated. +Details (and errors made through this heuristic) are discussed in the paper + +- Fabian Neumann and Tom Brown. `Heuristics for Transmission Expansion Planning in Low-Carbon Energy System Models `_), *16th International Conference on the European Energy Market*, 2019. `arXiv:1907.10548 `_. + +.. warning:: + Capital costs of existing network components are not included in the objective function, + since for the optimisation problem they are just a constant term (no influence on optimal result). + + Therefore, these capital costs are not included in ``network.objective``! + + If you want to calculate the full total annual system costs add these to the objective value. + +.. tip:: + The rule :mod:`solve_all_networks` runs + for all ``scenario`` s in the configuration file + the rule :mod:`solve_network`. +""" +import logging +import os +import re +from pathlib import Path +import xarray as xr +import numpy as np +import pandas as pd +import pypsa +from _helpers import configure_logging, clean_pu_profiles +from pypsa.descriptors import get_switchable_as_dense as get_as_dense +from pypsa.linopf import ( + define_constraints, + define_variables, + get_var, + ilopf, + join_exprs, + linexpr, + network_lopf, +) + +from pypsa.linopt import ( + define_constraints, + define_variables, + get_con, + get_var, + join_exprs, + linexpr, + run_and_read_cbc, + run_and_read_cplex, + run_and_read_glpk, + run_and_read_gurobi, + run_and_read_highs, + run_and_read_xpress, + set_conref, + write_bound, + write_constraint, + write_objective, +) + +from pypsa.descriptors import ( + Dict, + additional_linkports, + expand_series, + get_active_assets, + get_activity_mask, + get_bounds_pu, + get_extendable_i, + get_non_extendable_i, + nominal_attrs, +) + + +idx = pd.IndexSlice +from vresutils.benchmark import memory_logger +from xarray import DataArray +import warnings +warnings.simplefilter(action='ignore', category=FutureWarning) # Comment out for debugging and development + +logger = logging.getLogger(__name__) + +def check_active(n, c, y, list): + active = n.df(c).index[n.get_active_assets(c, y)] if n.multi_invest else list + return list.intersection(active) + +def define_reserve_margin(n, model_setup, model_file, snakemake): + ################################################################################### + # Reserve margin above maximum peak demand in each year + # The sum of res_margin_carriers multiplied by their assumed constribution factors + # must be higher than the maximum peak demand in each year by the reserve_margin value + + projections = ( + pd.read_excel( + model_file, + sheet_name="projected_parameters", + index_col=[0,1]) + .loc[model_setup["projected_parameters"]] + ).drop("unit", axis=1) + res_mrgn_active = projections.loc["reserve_margin_active"] + res_mrgn = projections.loc["reserve_margin"] + + peak = n.loads_t.p_set.sum(axis=1).groupby(n.snapshots.get_level_values(0)).max() if n.multi_invest else n.loads_t.p_set.sum(axis=1).max() + peak = peak if n.multi_invest else pd.Series(peak, index = n.snapshots.year.unique()) + capacity_credit = snakemake.config["electricity"]["reserves"]["capacity_credit"] + + for y in peak.index: + if res_mrgn_active[y]: + + fix_i = n.generators.query("not p_nom_extendable & carrier in @capacity_credit").index + ext_i = n.generators.query("p_nom_extendable & carrier in @capacity_credit").index + + fix_cap = 0 + lhs = 0 + for c in ["Generator", "StorageUnit"]: + fix_i = n.df(c).query("not p_nom_extendable & carrier in @capacity_credit").index + fix_i = check_active(n, c, y, fix_i) + + fix_cap += ( + n.df(c).loc[fix_i, "carrier"].map(capacity_credit) + * n.df(c).loc[fix_i, "p_nom"] + ).sum() + + ext_i = n.df(c).query("p_nom_extendable & carrier in @capacity_credit").index + ext_i = check_active(n, c, y, ext_i) + + lhs += ( + n.model.variables[f"{c}-p_nom"].sel({f"{c}-ext":ext_i}) + *DataArray(n.df(c).loc[ext_i, "carrier"].map(capacity_credit)).rename({f"{c}":f"{c}-ext"}) + ).sum(f"{c}-ext") + + rhs = peak.loc[y]*(1+res_mrgn[y]) - fix_cap + + n.model.add_constraints(lhs, ">=", rhs, name = f"reserve_margin_{y}") + + + + + + + +def add_SAFE_constraints(n, config): + """ + Add a capacity reserve margin of a certain fraction above the peak demand. + Renewable generators and storage do not contribute. Ignores network. + + Parameters + ---------- + n : pypsa.Network + config : dict + + Example + ------- + config.yaml requires to specify opts: + + scenario: + opts: [Co2L-SAFE-24H] + electricity: + SAFE_reservemargin: 0.1 + Which sets a reserve margin of 10% above the peak demand. + """ + peakdemand = n.loads_t.p_set.sum(axis=1).max() + margin = 1.0 + config["electricity"]["SAFE_reservemargin"] + reserve_margin = peakdemand * margin + conventional_carriers = config["electricity"]["conventional_carriers"] + ext_gens_i = n.generators.query( + "carrier in @conventional_carriers & p_nom_extendable" + ).index + p_nom = n.model["Generator-p_nom"].loc[ext_gens_i] + lhs = p_nom.sum() + exist_conv_caps = n.generators.query( + "~p_nom_extendable & carrier in @conventional_carriers" + ).p_nom.sum() + rhs = reserve_margin - exist_conv_caps + n.model.add_constraints(lhs >= rhs, name="safe_mintotalcap") + + + +def prepare_linopy_model(n): + n.optimize.create_model(multi_investment_periods = n.multi_invest) + + +if __name__ == "__main__": + if "snakemake" not in globals(): + from _helpers import mock_snakemake + + os.chdir(os.path.dirname(os.path.abspath(__file__))) + from _helpers import mock_snakemake + snakemake = mock_snakemake( + 'solve_network', + **{ + 'model_file':'grid-2040', + 'regions':'11-supply', + 'resarea':'redz', + 'll':'copt', + 'opts':'LC', + 'attr':'p_nom', + } + ) + model_file = pd.ExcelFile(snakemake.input.model_file) + model_setup = ( + pd.read_excel( + model_file, + sheet_name="model_setup", + index_col=[0]) + .loc[snakemake.wildcards.model_file] + ) + n = pypsa.Network(snakemake.input[0]) + n.optimize.create_model(multi_investment_periods = n.multi_invest) + define_reserve_margin(n, model_setup, model_file, snakemake) + + n.optimize.solve_model(solver_name="xpress",solver_options={"lpflags":4,"crossover":0}) + x=1 + # This is a windows test + # This is ubuntu test + # This is windows test 2 +# # for y in n.investment_periods: +# # if reserve_requirements.loc[(model_setup['projected_parameters'],'reserve_margin_active'),y]: +# # active = ( +# # n.generators.index[n.get_active_assets('Generator',y)] +# # .append(n.storage_units.index[n.get_active_assets('StorageUnit',y)]) +# # ).to_list() + +# # exist_capacity=0 +# # for c in ['Generator','StorageUnit']: +# # non_ext_gen_i = n.df(c).index[ +# # (n.df(c).carrier.isin(res_margin_carriers)) & +# # (n.df(c).p_nom_extendable==False) & +# # (n.df(c).index.isin(active)) +# # ] +# # exist_capacity += ( +# # n.df(c).loc[non_ext_gen_i,'p_nom'] +# # .mul(n.df(c).loc[non_ext_gen_i,'carrier'].map(res_margin_carriers)) +# # ).sum() + +# # ext_gen_i = n.df(c).index[ +# # (n.df(c).carrier.isin(res_margin_carriers)) & +# # (n.df(c).p_nom_extendable==True) & +# # (n.df(c).index.isin(active)) +# # ] +# # if c =='Generator': +# # lhs = linexpr( +# # ( +# # n.df(c).loc[ext_gen_i,'carrier'] +# # .map(res_margin_carriers), +# # get_var(n, c, "p_nom")[ext_gen_i] +# # ) +# # ).sum() +# # else: +# # lhs += linexpr( +# # ( +# # n.df(c).loc[ext_gen_i,'carrier'] +# # .map(res_margin_carriers), +# # get_var(n, c, "p_nom")[ext_gen_i] +# # ) +# # ).sum() + +# # rhs = (peakdemand.loc[y]*(1+ +# # reserve_requirements.loc[(model_setup['projected_parameters'],'reserve_margin'),y]) +# # - exist_capacity +# # ) +# # define_constraints(n, lhs, ">=", rhs, "reserve_margin", str(y)) + + + +# def prepare_linopy_model(n): +# n.optimize.create_model(multi_investment_periods = n.multi_invest) + + + +# def hvdc_transport_model(n): +# """ +# Convert AC lines to DC links for multi-decade optimisation with line +# expansion. + +# Losses of DC links are assumed to be 3% per 1000km +# """ + +# logger.info("Convert AC lines to DC links to perform multi-decade optimisation.") + +# n.madd( +# "Link", +# n.lines.index, +# bus0 = n.lines.bus0, +# bus1 = n.lines.bus1, +# p_nom_extendable = True, +# p_nom = n.lines.s_nom, +# p_nom_min = n.lines.s_nom, +# p_min_pu = -1, +# efficiency = 1 - 0.03 * n.lines.length / 1000, +# marginal_cost = 0, +# carrier = "DC", +# length = n.lines.length, +# capital_cost = n.lines.capital_cost, +# ) + +# # Remove AC lines +# logger.info("Removing AC lines") +# lines_rm = n.lines.index +# n.mremove("Line", lines_rm) + +# # Set efficiency of all DC links to include losses depending on length +# n.links.loc[n.links.carrier == "DC", "efficiency"] = ( +# 1 - 0.03 * n.links.loc[n.links.carrier == "DC", "length"] / 1000 +# ) + +# def adjust_electricity_grid(n, year, years): +# """ +# Add carrier to lines. Replace AC lines with DC links in case of line +# expansion. Add lifetime to DC links in case of line expansion. + +# Parameters +# ---------- +# n : pypsa.Network +# year : int +# year in which optimized assets are built +# years: list +# investment periods +# """ +# n.lines["carrier"] = "AC" +# links_i = n.links[n.links.carrier == "DC"].index +# if n.lines.s_nom_extendable.any() or n.links.loc[links_i, "p_nom_extendable"].any(): +# hvdc_transport_model(n) +# links_i = n.links[n.links.carrier == "DC"].index +# n.links.loc[links_i, "lifetime"] = 100 +# if year != years[0]: +# n.links.loc[links_i, "p_nom_min"] = 0 +# n.links.loc[links_i, "p_nom"] = 0 + + + + + + +# # def prepare_network(n, solve_opts): + +# # if "clip_p_max_pu" in solve_opts: +# # for df in (n.generators_t.p_max_pu, n.storage_units_t.inflow): +# # df.where(df > solve_opts["clip_p_max_pu"], other=0.0, inplace=True) +# # clean_pu_profiles(n) +# # load_shedding = solve_opts.get("load_shedding") +# # if load_shedding: + + +# # if solve_opts.get("noisy_costs"): +# # for t in n.iterate_components(n.one_port_components): +# # # TODO: uncomment out to and test noisy_cost (makes solution unique) +# # # if 'capital_cost' in t.df: +# # # t.df['capital_cost'] += 1e1 + 2.*(np.random.random(len(t.df)) - 0.5) +# # if "marginal_cost" in t.df: +# # t.df["marginal_cost"] += 1e-2 + 2e-3 * ( +# # np.random.random(len(t.df)) - 0.5 +# # ) + +# # for t in n.iterate_components(["Line", "Link"]): +# # t.df["capital_cost"] += ( +# # 1e-1 + 2e-2 * (np.random.random(len(t.df)) - 0.5) +# # ) * t.df["length"] + +# # if solve_opts.get("nhours"): +# # nhours = solve_opts["nhours"] +# # n.set_snapshots(n.snapshots[:nhours]) +# # n.snapshot_weightings[:] = 8760.0 / nhours + +# # return n + + +# def add_CCL_constraints(n, sns, config): +# agg_p_nom_limits = config["electricity"].get("agg_p_nom_limits") + +# try: +# agg_p_nom_minmax = pd.read_csv(agg_p_nom_limits, index_col=list(range(2))) +# except IOError: +# logger.exception( +# "Need to specify the path to a .csv file containing " +# "aggregate capacity limits per country in " +# "config['electricity']['agg_p_nom_limit']." +# ) +# logger.info( +# "Adding per carrier generation capacity constraints for " "individual countries" +# ) + +# gen_country = n.generators.bus.map(n.buses.country) +# # cc means country and carrier +# p_nom_per_cc = ( +# pd.DataFrame( +# { +# "p_nom": linexpr((1, get_var(n, "Generator", "p_nom"))), +# "country": gen_country, +# "carrier": n.generators.carrier, +# } +# ) +# .dropna(subset=["p_nom"]) +# .groupby(["country", "carrier"]) +# .p_nom.apply(join_exprs) +# ) +# minimum = agg_p_nom_minmax["min"].dropna() +# if not minimum.empty: +# minconstraint = define_constraints( +# n, p_nom_per_cc[minimum.index], ">=", minimum, "agg_p_nom", "min" +# ) +# maximum = agg_p_nom_minmax["max"].dropna() +# if not maximum.empty: +# maxconstraint = define_constraints( +# n, p_nom_per_cc[maximum.index], "<=", maximum, "agg_p_nom", "max" +# ) + + +# def add_EQ_constraints(n, sns, o, scaling=1e-1): +# float_regex = "[0-9]*\.?[0-9]+" +# level = float(re.findall(float_regex, o)[0]) +# if o[-1] == "c": +# ggrouper = n.generators.bus.map(n.buses.country) +# lgrouper = n.loads.bus.map(n.buses.country) +# sgrouper = n.storage_units.bus.map(n.buses.country) +# else: +# ggrouper = n.generators.bus +# lgrouper = n.loads.bus +# sgrouper = n.storage_units.bus +# load = ( +# n.snapshot_weightings.generators +# @ n.loads_t.p_set.groupby(lgrouper, axis=1).sum() +# ) +# inflow = ( +# n.snapshot_weightings.stores +# @ n.storage_units_t.inflow.groupby(sgrouper, axis=1).sum() +# ) +# inflow = inflow.reindex(load.index).fillna(0.0) +# rhs = scaling * (level * load - inflow) +# lhs_gen = ( +# linexpr( +# (n.snapshot_weightings.generators * scaling, get_var(n, "Generator", "p").T) +# ) +# .T.groupby(ggrouper, axis=1) +# .apply(join_exprs) +# ) +# lhs_spill = ( +# linexpr( +# ( +# -n.snapshot_weightings.stores * scaling, +# get_var(n, "StorageUnit", "spill").T, +# ) +# ) +# .T.groupby(sgrouper, axis=1) +# .apply(join_exprs) +# ) +# lhs_spill = lhs_spill.reindex(lhs_gen.index).fillna("") +# lhs = lhs_gen + lhs_spill +# define_constraints(n, lhs, ">=", rhs, "equity", "min") + +# def min_capacity_factor(n,sns): +# for y in n.investment_periods: +# for carrier in snakemake.config["electricity"]["min_capacity_factor"]: +# # only apply to extendable generators for now +# cf = snakemake.config["electricity"]["min_capacity_factor"][carrier] +# for tech in n.generators[(n.generators.p_nom_extendable==True) & (n.generators.carrier==carrier)].index: +# tech_p_nom=get_var(n, 'Generator', 'p_nom')[tech] +# tech_p_nom=get_var(n, 'Generator', 'p_nom')[tech] +# tech_p=get_var(n, 'Generator', 'p')[tech].loc[y] +# lhs = linexpr((1,tech_p)).sum()+linexpr((-cf*8760,tech_p_nom)) +# define_constraints(n, lhs, '>=',0, 'Generators', tech+'_y_'+str(y)+'_min_CF') + +# # Reserve requirement of 1GW for spinning acting reserves from PHS or battery, and 2.2GW of total reserves +# def reserves(n, sns): + +# # Operating reserves +# model_setup = pd.read_excel( +# snakemake.input.model_file, +# sheet_name='model_setup', +# index_col=[0] +# ).loc[snakemake.wildcards.model_file] + +# reserve_requirements =pd.read_excel( +# snakemake.input.model_file, sheet_name='projected_parameters', index_col=[0,1] +# ) + +# for reserve_type in ['spinning','total']: +# carriers = snakemake.config["electricity"]["operating_reserves"][reserve_type] +# for y in n.investment_periods: +# lhs=0 +# rhs = reserve_requirements.loc[(model_setup['projected_parameters'],reserve_type+'_reserves'),y] + +# # Generators +# for tech_type in ['Generator','StorageUnit']: +# active = get_active_assets(n,tech_type,y) +# tech_list = n.df(tech_type).query("carrier == @carriers").index.intersection(active[active].index) +# for tech in tech_list: +# if tech_type=='Generator': +# tech_p=get_var(n, tech_type, 'p')[tech].loc[y] +# elif tech_type=='StorageUnit': +# tech_p=get_var(n, tech_type, 'p_dispatch')[tech].loc[y] +# p_max_pu = get_as_dense(n, tech_type, "p_max_pu")[tech].loc[y] +# if type(lhs)==int: +# lhs=linexpr((-1,tech_p)) +# else: +# lhs+=linexpr((-1,tech_p)) +# if n.df(tech_type).p_nom_extendable[tech]==False: +# tech_p_nom=n.df(tech_type).p_nom[tech] +# rhs+=-tech_p_nom*p_max_pu +# else: +# tech_p_nom=get_var(n, tech_type, 'p_nom')[tech] +# lhs+=linexpr((p_max_pu,tech_p_nom)) +# lhs.index=pd.MultiIndex.from_arrays([lhs.index.year,lhs.index]) +# rhs.index=pd.MultiIndex.from_arrays([rhs.index.year,rhs.index]) +# define_constraints(n, lhs, '>=',rhs, 'Reserves_'+str(y)+'_'+reserve_type) + + + +# def define_storage_global_constraints(n, sns): +# """ +# Defines global constraints for the optimization. Possible types are. + +# 4. tech_capacity_expansion_limit - linopf only considers generation - so add in storage +# Use this to se a limit for the summed capacitiy of a carrier (e.g. +# 'onwind') for each investment period at choosen nodes. This limit +# could e.g. represent land resource/ building restrictions for a +# technology in a certain region. Currently, only the +# capacities of extendable generators have to be below the set limit. +# """ + +# if n._multi_invest: +# period_weighting = n.investment_period_weightings["years"] +# weightings = n.snapshot_weightings.mul(period_weighting, level=0, axis=0).loc[ +# sns +# ] +# else: +# weightings = n.snapshot_weightings.loc[sns] + +# def get_period(n, glc, sns): +# period = slice(None) +# if n._multi_invest and not np.isnan(glc["investment_period"]): +# period = int(glc["investment_period"]) +# if period not in sns.unique("period"): +# logger.warning( +# "Optimized snapshots do not contain the investment " +# f"period required for global constraint `{glc.name}`." +# ) +# return period + + +# # (4) tech_capacity_expansion_limit +# # TODO: Generalize to carrier capacity expansion limit (i.e. also for stores etc.) +# #substr = lambda s: re.sub(r"[\[\]\(\)]", "", s) +# glcs = n.global_constraints.query("type == " '"tech_capacity_expansion_limit"') +# c, attr = "StorageUnit", "p_nom" + +# for name, glc in glcs.iterrows(): +# period = get_period(n, glc, sns) +# car = glc["carrier_attribute"] +# bus = str(glc.get("bus", "")) # in pypsa buses are always strings +# ext_i = n.df(c).query("carrier == @car and p_nom_extendable").index +# if bus: +# ext_i = n.df(c).loc[ext_i].query("bus == @bus").index +# ext_i = ext_i[get_activity_mask(n, c, sns)[ext_i].loc[period].any()] + +# if ext_i.empty: +# continue + +# cap_vars = get_var(n, c, attr)[ext_i] + +# lhs = join_exprs(linexpr((1, cap_vars))) +# rhs = glc.constant +# sense = glc.sense + +# define_constraints( +# n, +# lhs, +# sense, +# rhs, +# "GlobalConstraint", +# "mu", +# axes=pd.Index([name]), +# spec=name, +# ) + + +# def add_local_max_capacity_constraint(n,snapshots): + +# c, attr = 'Generator', 'p_nom' +# res = ['onwind', 'solar'] +# ext_i = n.df(c)[(n.df(c)["carrier"].isin(res)) +# & (n.df(c)["p_nom_extendable"])].index +# time_valid = snapshots.levels[0] + +# active_i = pd.concat([get_active_assets(n,c,inv_p,snapshots).rename(inv_p) +# for inv_p in time_valid], axis=1).astype(int) + +# ext_and_active = active_i.T[active_i.index.intersection(ext_i)] + +# if ext_and_active.empty: return + +# cap_vars = get_var(n, c, attr)[ext_and_active.columns] + +# lhs = (linexpr((ext_and_active, cap_vars)).T +# .groupby([n.df(c).carrier, n.df(c).country]).sum(**agg_group_kwargs).T) + +# p_nom_max_w = n.df(c).p_nom_max.div(n.df(c).weight).loc[ext_and_active.columns] +# p_nom_max_t = expand_series(p_nom_max_w, time_valid).T + +# rhs = (p_nom_max_t.mul(ext_and_active) +# .groupby([n.df(c).carrier, n.df(c).country], axis=1) +# .max(**agg_group_kwargs)) + +# define_constraints(n, lhs, "<=", rhs, 'GlobalConstraint', 'res_limit') + +# def extra_functionality(n, snapshots): +# """ +# Collects supplementary constraints which will be passed to ``pypsa.linopf.network_lopf``. +# If you want to enforce additional custom constraints, this is a good location to add them. +# The arguments ``opts`` and ``snakemake.config`` are expected to be attached to the network. +# """ +# opts = n.opts +# config = n.config +# if "BAU" in opts and n.generators.p_nom_extendable.any(): +# add_BAU_constraints(n, snapshots, config) +# if "SAFE" in opts and n.generators.p_nom_extendable.any(): +# add_SAFE_constraints(n, snapshots, config) +# if "CCL" in opts and n.generators.p_nom_extendable.any(): +# add_CCL_constraints(n, snapshots,config) +# reserve = config["electricity"].get("operational_reserve", {}) +# if reserve.get("activate"): +# add_operational_reserve_margin(n, snapshots, config) +# for o in opts: +# if "EQ" in o: +# add_EQ_constraints(n, snapshots, o) +# min_capacity_factor(n,snapshots) +# define_storage_global_constraints(n, snapshots) +# reserves(n,snapshots) + +# def solve_network(n, config, opts="", **kwargs): +# solver_options = config["solving"]["solver"].copy() +# solver_name = solver_options.pop("name") +# cf_solving = config["solving"]["options"] +# track_iterations = cf_solving.get("track_iterations", False) +# min_iterations = cf_solving.get("min_iterations", 4) +# max_iterations = cf_solving.get("max_iterations", 6) +# multi_investment_periods=isinstance(n.snapshots, pd.MultiIndex) + + +# # add to network for extra_functionality +# n.config = config +# n.opts = opts + +# if (snakemake.wildcards.regions=='1-supply') | (cf_solving.get("skip_iterations", False)): +# network_lopf( +# n, +# solver_name=solver_name, +# solver_options=solver_options, +# multi_investment_periods=multi_investment_periods, +# extra_functionality=extra_functionality, +# **kwargs +# ) +# else: +# ilopf( +# n, +# solver_name=solver_name, +# solver_options=solver_options, +# track_iterations=track_iterations, +# msq_threshold=snakemake.config["solving"]["options"]["msq_threshold"], +# min_iterations=min_iterations, +# max_iterations=max_iterations, +# multi_investment_periods=multi_investment_periods, +# extra_functionality=extra_functionality, +# **kwargs +# ) + +# return n + + + + + +# if __name__ == "__main__": +# if "snakemake" not in globals(): +# from _helpers import mock_snakemake + +# os.chdir(os.path.dirname(os.path.abspath(__file__))) +# from _helpers import mock_snakemake +# snakemake = mock_snakemake( +# 'solve_network', +# **{ +# 'model_file':'grid-2040', +# 'regions':'11-supply', +# 'resarea':'redz', +# 'll':'copt', +# 'opts':'LC', +# 'attr':'p_nom' +# } +# ) +# configure_logging(snakemake) + +# tmpdir = snakemake.config["solving"].get("tmpdir") +# if tmpdir is not None: +# Path(tmpdir).mkdir(parents=True, exist_ok=True) +# opts = snakemake.wildcards.opts.split("-") +# solve_opts = snakemake.config["solving"]["options"] + +# fn = getattr(snakemake.log, "memory", None) +# with memory_logger(filename=fn, interval=30.0) as mem: +# n = pypsa.Network(snakemake.input[0]) +# n = prepare_network(n, solve_opts) +# n = solve_network( +# n, +# config=snakemake.config, +# opts=opts, +# solver_dir=tmpdir, +# solver_logfile=snakemake.log.solver, +# ) + +# n.export_to_netcdf(snakemake.output[0]) +# logger.info("Maximum memory usage: {}".format(mem.mem_usage)) diff --git a/scripts/base_network.py b/scripts/base_network.py old mode 100644 new mode 100755 index e927544..e502cbe --- a/scripts/base_network.py +++ b/scripts/base_network.py @@ -1,61 +1,182 @@ -# coding: utf-8 +# SPDX-FileCopyrightText: PyPSA-RSA, PyPSA-ZA, PyPSA-Earth and PyPSA-Eur Authors +# # SPDX-License-Identifier: MIT +# -*- coding: utf-8 -*- -import networkx as nx -import pandas as pd -import numpy as np -from operator import attrgetter +""" +Creates the network topology for South Africa from either South Africa"s shape file, GCCA map extract for 10 supply regions or 27-supply regions shape file as a PyPSA +network. + +Relevant Settings +----------------- + +.. code:: yaml + + snapshots: + + supply_regions: + + electricity: + voltages: + + lines: + types: + s_max_pu: + under_construction: + + links: + p_max_pu: + under_construction: + include_tyndp: + + transformers: + x: + s_nom: + type: + +.. seealso:: + Documentation of the configuration file ``config.yaml`` at + :ref:`snapshots_cf`, :ref:`toplevel_cf`, :ref:`electricity_cf`, :ref:`load_cf`, + :ref:`lines_cf`, :ref:`links_cf`, :ref:`transformers_cf` + +Inputs +------ + +- ``data/bundle/supply_regions/{regions}.shp``: Shape file for different supply regions. +- ``data/bundle/South_Africa_100m_Population/ZAF15adjv4.tif``: Raster file of South African population from https://hub.worldpop.org/doi/10.5258/SOTON/WP00246 +- ``data/num_lines.xlsx``: confer :ref:`lines` + + +Outputs +------- + +- ``networks/base_{model_file}_{regions}.nc`` -from vresutils.costdata import annuity + .. image:: ../img/base.png + :scale: 33 % +""" +import geopandas as gpd +import logging +import numpy as np +import pandas as pd import pypsa +import os +import re +from _helpers import load_scenario_definition -def base_network(): +def create_network(): n = pypsa.Network() - n.name = 'PyPSA-ZA' + n.name = "PyPSA-ZA" + return n - buses = pd.read_csv(snakemake.input.buses, index_col=0) - lines = pd.read_csv(snakemake.input.lines, index_col=0) +def load_buses_and_lines(n, line_config): + buses = gpd.read_file(snakemake.input.buses) + buses.set_index("name", drop=True,inplace=True) + buses = buses[["x","y","v_nom","POP_2016", "GVA_2016",]] - buses['population'] = pd.read_csv(snakemake.input.population, index_col=0)['population'] + if len(buses) != 1: + lines = gpd.read_file(snakemake.input.lines, index_col=[1]) + lines_reverse = lines.copy() + lines_reverse.bus0 = lines.bus1.values + lines_reverse.bus1 = lines.bus0.values - line_config = snakemake.config['lines'] - v_nom = line_config['v_nom'] - line_type = line_config['type'] + lines.index = lines.bus0 + ['-'] + lines.bus1 + lines_reverse.index = lines_reverse.bus0 + ['-'] + lines_reverse.bus1 - lines['capacity'] = np.sqrt(3)*v_nom*n.line_types.loc[line_type, 'i_nom']*lines.num_parallel + lines = pd.concat([lines, lines_reverse]) + else: + lines = [] + return buses, lines - # Buses from regions - n.set_snapshots(pd.date_range(snakemake.config['historical_year'], periods=8760, freq='h')) - n.import_components_from_dataframe(buses, 'Bus') +def set_snapshots(n, years): + def create_snapshots(year): + snapshots = pd.date_range(start = f"{year}-01-01 00:00", end = f"{year}-12-31 23:00", freq="H") + return snapshots[~((snapshots.month == 2) & (snapshots.day == 29))] # exclude Feb 29 for leap years - if 'T' in snakemake.wildcards.opts.split('-'): - n.import_components_from_dataframe( - (lines - .drop('num_parallel', axis=1) - .rename(columns={'capacity': 'p_nom_min'}) - .assign(p_nom_extendable=True, p_min_pu=-1)), - "Link" - ) - elif 'FL' in snakemake.wildcards.opts.split('-'): - n.import_components_from_dataframe( - (lines - .loc[lines.num_parallel > 0.1] - .drop('capacity', axis=1) - .assign(s_nom_extendable=False, type=line_type)), - "Line" - ) + if n.multi_invest: + snapshots = pd.DatetimeIndex([]) + for y in years: + snapshots = snapshots.append(create_snapshots(y)) + n.set_snapshots(pd.MultiIndex.from_arrays([snapshots.year, snapshots])) else: - n.import_components_from_dataframe( - (lines - .rename(columns={'capacity': 's_nom_min'}) - .assign(s_nom_extendable=True, type=line_type, - num_parallel=lambda df: df.num_parallel.clip(lower=0.5))), - "Line" + n.set_snapshots(create_snapshots(years)) + + +def set_investment_periods(n, years): + n.investment_periods = years + delta_years = list(np.diff(years)) + n.investment_period_weightings["years"] = delta_years + [delta_years[-1]] + T = 0 + for period, nyears in n.investment_period_weightings.years.items(): + discounts = [(1 / (1 + snakemake.config["costs"]["discount_rate"]) ** t) for t in range(T, T + nyears)] + n.investment_period_weightings.at[period, "objective"] = sum(discounts) + T += nyears + +def line_derating(n, lines): + # convert each entry of n.investment_periods to str + pu_max = pd.DataFrame(1, index = n.snapshots, columns=lines.index) + for y in n.investment_periods: + for l in pu_max.columns: + pu_max.loc[y, l] = lines.loc[l, str(y)] + + return pu_max + +def add_components_to_network(n, buses, lines, line_config): + n.import_components_from_dataframe(buses, "Bus") +# Only a transfer model is used, with allowable efficiency losses +# This requires two uni-directional links between nodes as PyPSA efficiency is not bi-directional + if len(buses) != 1: + pu_max = line_derating(n, lines) + n.madd( + "Link", + lines.index, + p_nom = lines["St_Clair_limit_n1"], + bus0 = lines["bus0"], + bus1 = lines["bus1"], + efficiency = 1-line_config["losses"]*lines["length"]/1000, + p_max_pu = pu_max, + p_min_pu = 0, # single direction 2 links represent 1 line + lifetime = 100, + build_year = n.investment_periods[0]-1, + p_nom_extendable = False, ) + +def get_years(): + scenario_setup = load_scenario_definition(snakemake) + years = scenario_setup.loc["simulation_years"] - return n + if not isinstance(years, int): + years = list(map(int, re.split(r",\s*", years))) + if snakemake.wildcards.model_type == "dispatch": + years = list(range(2024, np.max(years) + 1)) + n.multi_invest = 1 + else: + n.multi_invest = 0 + + return years if __name__ == "__main__": - n = base_network() + if "snakemake" not in globals(): + from _helpers import mock_snakemake + snakemake = mock_snakemake( + "base_network", + **{ + "model_type":"capacity", + "scenario":"CNS_G_RB_CB_10_7", + } + ) + line_config = snakemake.config["lines"] + + # Create network and load buses and lines data + n = create_network() + buses, lines = load_buses_and_lines(n, line_config) + + # Set snapshots and investment periods + years = get_years() + set_snapshots(n,years) + if n.multi_invest: + set_investment_periods(n,years) + add_components_to_network(n, buses, lines, line_config) + n.export_to_netcdf(snakemake.output[0]) diff --git a/scripts/build_inflow_per_country.py b/scripts/build_inflow_per_country.py deleted file mode 100644 index b879049..0000000 --- a/scripts/build_inflow_per_country.py +++ /dev/null @@ -1,21 +0,0 @@ -import pandas as pd -import atlite - -from vresutils import shapes as vshapes -from vresutils import hydro as vhydro - -countries = snakemake.config['hydro_inflow']['countries'] - -cutout = atlite.Cutout(snakemake.config['hydro_inflow']['cutout']) -shapes = pd.Series(vshapes.countries(countries)) -shapes.index.rename('countries', inplace=True) - -annual_hydro = vhydro.get_eia_annual_hydro_generation(snakemake.input.EIA_hydro_gen).reindex(columns=countries) - -inflow = cutout.runoff(shapes=shapes, - smooth=True, - lower_threshold_quantile=True, - normalize_using_yearly=annual_hydro) - -inflow.transpose('time', 'countries').to_pandas().to_csv(snakemake.output[0]) - diff --git a/scripts/build_population.py b/scripts/build_population.py deleted file mode 100644 index f6cd5e3..0000000 --- a/scripts/build_population.py +++ /dev/null @@ -1,18 +0,0 @@ -# coding: utf-8 - -import pandas as pd -import rasterstats -import geopandas as gpd - -def build_population(): - ## Read in regions and calculate population per region - regions = gpd.read_file(snakemake.input.supply_regions)[['name', 'geometry']] - - population = pd.DataFrame(rasterstats.zonal_stats(regions['geometry'], snakemake.input.population, stats='sum'))['sum'] - population.index = regions['name'] - return population - -if __name__ == "__main__": - pop = build_population() - pop.to_csv(snakemake.output[0], header=['population']) - diff --git a/scripts/build_topology.py b/scripts/build_topology.py old mode 100644 new mode 100755 index cf2ea68..3babe69 --- a/scripts/build_topology.py +++ b/scripts/build_topology.py @@ -1,65 +1,383 @@ +# SPDX-FileCopyrightText: PyPSA-ZA2, PyPSA-ZA Authors +# SPDX-License-Identifier: MIT # coding: utf-8 +""" +Creates the network topology (buses and lines). + +Relevant Settings +----------------- + +.. code:: yaml + + snapshots: + + electricity: + voltages: + + lines: + types: + s_max_pu: + under_construction: + + links: + p_max_pu: + under_construction: + include_tyndp: + +.. seealso:: + Documentation of the configuration file ``config.yaml`` at + :ref:`snapshots_cf`, :ref:`toplevel_cf`, :ref:`electricity_cf`, :ref:`load_cf`, + :ref:`lines_cf`, :ref:`links_cf`, :ref:`transformers_cf` + +Inputs +------ + +- ``data/bundle/supply_regions/{regions}.shp``: Shape file for different supply regions. +- ``data/num_lines.xlsx``: confer :ref:`links` + +Outputs +------- +- ``resources/buses_{regions}.geojson`` +- ``resources/lines_{regions}.geojson`` + +""" + import networkx as nx import pandas as pd import geopandas as gpd +from shapely.geometry import LineString, Point +import logging import numpy as np from operator import attrgetter +import os +# import pypsa +import re +from _helpers import save_to_geojson, load_scenario_definition +from base_network import get_years +from pypsa.geo import haversine + + +def load_region_data(model_regions): + # Load supply regions and calculate population per region + regions = gpd.read_file( + snakemake.input.supply_regions, + layer=model_regions, + ).to_crs(snakemake.config["gis"]["crs"]["distance_crs"]) + + possible_index_cols = ['name', 'Name', 'LocalArea', 'SupplyArea'] + + index_column = [col for col in possible_index_cols if col in regions.columns] + regions = regions.set_index(index_column[0]) + regions.index.name = 'name' + + gdp_pop = gpd.read_file( + snakemake.input.gdp_pop_data, + ).to_crs(snakemake.config["gis"]["crs"]["distance_crs"]) + + joined = gpd.sjoin(gdp_pop, regions, how="inner", predicate="within") + gva_cols = ["SIC1_2016", "SIC2_2016", "SIC3_2016", "SIC4_2016", "SIC6_2016", "SIC7_2016", "SIC8_2016", "SIC9_2016"] + pop_col = ["POP_2016"] + for col in gva_cols + pop_col: + try: + regions[col] = joined[col].groupby(joined.name).sum() + except: + regions[col] = joined[col].groupby(joined.index_right).sum() + + regions["GVA_2016"] = regions[gva_cols].sum(axis=1) + if len(regions)>1: + regions.drop(["Shape_Area", "Shape_Leng"], axis=1, inplace=True) + + return regions + +def load_line_data(line_config): + + lines = gpd.read_file(snakemake.input.existing_lines) + lines = lines.to_crs(snakemake.config["gis"]["crs"]["distance_crs"]) + lines['status'] = 'existing' + lines["build_year"] = int(scenario_setup["simulation_years"][:4]) - 1 + lines.rename(columns={'DESIGN_VOL': 'voltage'}, inplace=True) + + if "+tdp" in scenario_setup.loc['transmission_grid']: + # Processing planned lines for each unique year + planned_lines = gpd.read_file(snakemake.input.planned_lines) + planned_lines = planned_lines.to_crs(snakemake.config["gis"]["crs"]["distance_crs"]) + planned_lines.rename(columns={'DESIGN_VOL':'voltage','BUILD_YEAR': 'build_year'}, inplace=True) + planned_lines['status'] = 'TDP' + + #drop planned lines rows where build_year is nan + if line_config["no_build_year"] == "drop": + planned_lines = planned_lines.dropna(subset=['build_year']) + else: + planned_lines['build_year'] = planned_lines['build_year'].fillna(line_config["no_build_year"]) + + lines = pd.concat([lines, planned_lines]) + + lines = build_line_topology(lines, regions) + lines["length"] = lines['geometry'].length/1000 #in km + lines = lines[["bus0","bus1","voltage","status","length","build_year"]] + + # Add user-defined lines + udl = scenario_setup.loc['transmission_grid'].split("+") + udl = [u for u in udl if u not in ['existing','tdp']] + if len(udl) > 0: + udl_scenario = udl[0] + add_lines = pd.read_excel(snakemake.config["scenarios"]+'/transmission_expansion.xlsx', index_col=[0]).loc[udl_scenario].reset_index(drop=True) + + + #model_file, sheet_name="transmission_grid", index_col=[0]).loc[udl_scenario].reset_index(drop=True) + add_lines.rename(columns={'voltage (kV)': 'voltage','length (km)':'length'}, inplace=True) + + user_lines = pd.DataFrame(columns=['bus0', 'bus1', 'voltage', 'status', 'length', 'build_year']) + usr_cnt=0 + for idx, row in add_lines.iterrows(): + if row['bus0'] not in regions.index or row['bus1'] not in regions.index: + continue + non_zero_years = row.iloc[5:] + non_zero_years = non_zero_years[non_zero_years != 0] + for year in non_zero_years.index: + for _ in range(int(non_zero_years[year])): + user_lines.loc[usr_cnt,'bus0'] = row['bus0'] + user_lines.loc[usr_cnt,'bus1'] = row['bus1'] + user_lines.loc[usr_cnt,'voltage'] = row['voltage'] + user_lines.loc[usr_cnt,'status'] = 'user_defined' + user_lines.loc[usr_cnt,'length'] = row['length'] + user_lines.loc[usr_cnt,'build_year'] = year + usr_cnt+=1 + + lines = pd.concat([lines, user_lines]) -from vresutils.costdata import annuity -from vresutils.shapes import haversine + lines['id'] = lines.index + lines = lines.fillna(0) -def build_topology(): - ## Read in regions and calculate population per region + return lines - regions = gpd.read_file(snakemake.input.supply_regions)[['name', 'geometry']] +def check_centroid_in_region(regions,centroids): + idx = regions.index[~centroids.intersects(regions['geometry'])] + buffered_regions = regions.buffer(-200) + boundary = buffered_regions.boundary + for i in idx: + # Initialize a variable to store the minimum distance + min_distance = np.inf + # Iterate over a range of distances along the boundary + for d in np.arange(0, boundary[i].length, 200): + # Interpolate a point at the current distance + p = boundary[i].interpolate(d) + # Calculate the distance between the centroid and the interpolated point + distance = centroids[i].distance(p) + # If the distance is less than the minimum distance, update the minimum distance and the closest point + if distance < min_distance: + min_distance = distance + closest_point = p + centroids[i] = closest_point + return centroids - # Slighly Moved centroids of NAMAQUALAND and PRETORIA manually so that they are within the shapes - centroids = gpd.read_file(snakemake.input.centroids).set_index('name')['geometry'] +def build_line_topology(lines, regions): + # Extract starting and ending points of each line + lines = lines.explode() + start_points = lines["geometry"].apply(lambda line: line.coords[0]) + end_points = lines["geometry"].apply(lambda line: line.coords[-1]) - # touching regions are connected by lines, we use nx to take care of all the double countings efficiently + # Convert start and end points to Point geometries + start_points = start_points.apply(Point) + end_points = end_points.apply(Point) - def edges_between_touching_regions(regions): - G = nx.Graph() - G.add_nodes_from(regions.index) - for r in regions.itertuples(): - neighs = regions.index[regions.touches(r.geometry)] - G.add_edges_from((r.Index, r2_name) for r2_name in neighs.values) - return G.edges() + # Map starting and ending points to regions + lines["bus0"] = start_points.apply( + lambda point: regions[regions.geometry.contains(point)].index.values[0] + if len(regions[regions.geometry.contains(point)].index.values) > 0 else None + ) + lines["bus1"] = end_points.apply( + lambda point: regions[regions.geometry.contains(point)].index.values[0] + if len(regions[regions.geometry.contains(point)].index.values) > 0 else None + ) + lines['id']=range(len(lines)) + lines = lines[lines['bus0']!=lines['bus1']] + lines = lines.dropna(subset=['bus0','bus1']) + lines.reset_index(drop=True,inplace=True) + lines['bus0'], lines['bus1'] = np.sort(lines[['bus0', 'bus1']].values, axis=1).T # sort bus0 and bus1 alphabetically - regions = regions.set_index('name') + return lines + + +def calc_inter_region_lines(lines, line_config): + lines=lines.copy() + line_limits = lines.apply(lambda row: calc_line_limits(row['length'], row['voltage'], line_config), axis=1) + lines.loc[:,'thermal_limit'], lines.loc[:,'SIL_limit'], lines.loc[:,'St_Clair_limit'] = line_limits[0].values, line_limits[1].values, line_limits[2].values + + def apply_n1_approximation(group): + # If there is only one row in the group, return it as is + if len(group) == 1: + group.loc[:,'thermal_limit':'St_Clair_limit'] *= line_config["n1_approx_single_lines"] + return group + # Otherwise, remove the row with the highest St_Clair_limit + return group.sort_values('St_Clair_limit', ascending=False).iloc[1:] + + def group_inter_region(lines, suffix=""): + inter_region_lines = lines.groupby(['bus0','bus1','voltage']).count()['id'].reset_index().rename(columns={'id':'count'}) + inter_region_lines = inter_region_lines[inter_region_lines['bus0']!=inter_region_lines['bus1']] + inter_region_lines['bus0'], inter_region_lines['bus1'] = np.sort(inter_region_lines[['bus0', 'bus1']].values, axis=1).T + inter_region_lines = inter_region_lines.pivot_table(index=["bus0", "bus1"], columns="voltage", values="count", aggfunc='sum',fill_value=0).reset_index() + inter_region_lines.columns = [col if isinstance(col, str) else str(int(col)) for col in inter_region_lines.columns] + + limits = lines[['bus0','bus1','voltage','thermal_limit','SIL_limit','St_Clair_limit']].groupby(['bus0','bus1']).sum() + inter_region_lines = inter_region_lines.merge(limits[['thermal_limit','SIL_limit','St_Clair_limit']],on=['bus0','bus1'],how='left') + + if suffix != "": + inter_region_lines = inter_region_lines.drop(columns=["bus0","bus1"]) + inter_region_lines.columns += suffix + + return inter_region_lines + + inter_region_lines = pd.concat( + [ + group_inter_region(lines,""), + group_inter_region(lines.groupby(['bus0', 'bus1'], group_keys=False).apply(apply_n1_approximation),"_n1") + ],axis=1) + + return inter_region_lines + +def extend_topology(lines, regions, centroids): + # get a list of lines between all adjacent regions + adj_lines = gpd.sjoin(regions, regions, predicate='touches')['index_right'].reset_index() + adj_lines.columns = ['bus0', 'bus1'] + adj_lines['bus0'], adj_lines['bus1'] = np.sort(adj_lines[['bus0', 'bus1']].values, axis=1).T # sort bus0 and bus1 alphabetically + adj_lines = adj_lines.drop_duplicates(subset=['bus0', 'bus1']) + + missing_lines = adj_lines.merge(lines, on=['bus0', 'bus1'], how='left', indicator=True) + missing_lines = missing_lines[missing_lines['_merge'] == 'left_only'][['bus0', 'bus1']] + missing_lines['DESIGN_VOL'] = 0 + missing_lines['status'] = 'missing' + missing_lines['geometry'] = missing_lines.apply(lambda row: LineString([centroids[row['bus0']],centroids[row['bus1']]]),axis=1) + missing_lines = missing_lines.drop_duplicates(subset=['bus0', 'bus1']) + lines = pd.concat([lines,missing_lines]) + + return lines + +def calc_line_limits(length, voltage, line_config): + # digitised from https://www.researchgate.net/figure/The-St-Clair-curve-as-based-on-the-results-of-14-retrieved-from-15-is-used-to_fig3_318692193 + if voltage in [220, 275, 400, 765]: + thermal = line_config['thermal'][voltage] + SIL = line_config['SIL'][voltage] + St_Clair = min(thermal, SIL * 53.736 * (length) ** -0.65) # length in km + + else: + thermal = np.nan + SIL = np.nan + St_Clair = np.nan + + return pd.Series([thermal, SIL, St_Clair]) + +def build_regions(regions, line_config): + centroids = regions['geometry'].centroid + centroids = check_centroid_in_region(regions,centroids) + centroids = centroids.to_crs(snakemake.config["gis"]["crs"]["geo_crs"]) - line_config = snakemake.config['lines'] v_nom = line_config['v_nom'] + buses = ( + regions.assign( + x=centroids.map(attrgetter('x')), + y=centroids.map(attrgetter('y')), + v_nom=v_nom + ) + ) + buses.index.name='name' # ensure consistency for other scripts + + return buses, regions, centroids +def haversine_length(row, centroids): + # Extract longitude and latitude for both points + lon1, lat1, lon2, lat2 = map(np.radians, [ + centroids[row['bus0']].x, centroids[row['bus0']].y, + centroids[row['bus1']].x, centroids[row['bus1']].y + ]) + + # Calculate Haversine distance + dlon = lon2 - lon1 + dlat = lat2 - lat1 + a = np.sin(dlat / 2)**2 + np.cos(lat1) * np.cos(lat2) * np.sin(dlon / 2)**2 + c = 2 * np.arcsin(np.sqrt(a)) + return c * 6371 # Multiply by Earth's radius in kilometers +def save_to_geopackage(gdf, layer_name, filename): + """ + Saves a GeoDataFrame to a GeoPackage. + + Parameters: + gdf (GeoDataFrame): The GeoDataFrame to save. + layer_name (str): The name of the layer. + filename (str): The path to the GeoPackage file. + """ + gdf.to_file(filename, layer=layer_name, driver="GPKG") + + + +def build_topology(centroids, years, line_config): + + years = [years[0]-1] + years + # Reading and processing the existing lines + lines = load_line_data(line_config) - buses = (regions - .assign( - x=centroids.map(attrgetter('x')), - y=centroids.map(attrgetter('y')), - v_nom=v_nom - ) - .drop('geometry', axis=1)) + # Build the nextwork topology for the + end_year_topology = calc_inter_region_lines(lines, line_config) + end_year_topology['geometry'] = end_year_topology.apply( + lambda row: LineString([centroids[row['bus0']], centroids[row['bus1']]]), + axis=1 + ) - # Lines from touching regions - def asarray(x): return np.asarray(list(map(np.asarray, x))) - lines = pd.DataFrame(list(edges_between_touching_regions(regions)), columns=['bus0', 'bus1']) - lines['length'] = haversine(asarray(lines.bus0.map(centroids)), - asarray(lines.bus1.map(centroids))) * line_config['length_factor'] + topology_derating = pd.DataFrame(columns=['bus0','bus1']+years) + topology_derating[['bus0','bus1']] = end_year_topology[['bus0','bus1']] - num_lines = pd.read_csv(snakemake.input.num_lines, index_col=0).set_index(['bus0', 'bus1']) - num_parallel = sum(num_lines['num_parallel_{}'.format(int(v))] * (v/v_nom)**2 - for v in (275, 400, 765)) + for year in years: + # Filter lines for the current year + year_lines = lines[lines['build_year'] <= year] - lines = (lines - .join(num_parallel.rename('num_parallel'), on=['bus0', 'bus1']) - .join(num_parallel.rename("num_parallel_i"), on=['bus1', 'bus0'])) + # Create inter-region lines + inter_region_lines = calc_inter_region_lines(year_lines, line_config) + year_topology = end_year_topology.copy() + year_topology.loc[:,year_topology.columns[2] :'St_Clair_limit_n1'] = 0 - lines['num_parallel'] = line_config['s_nom_factor'] * lines['num_parallel'].fillna(lines.pop('num_parallel_i')) + for idx, row in inter_region_lines.iterrows(): + year_topology.loc[(year_topology['bus0'] == row['bus0']) & (year_topology['bus1'] == row['bus1']), 'St_Clair_limit_n1'] = row['St_Clair_limit_n1'] - return buses, lines + topology_derating.loc[:,year] = year_topology['St_Clair_limit_n1'].div(end_year_topology['St_Clair_limit_n1']) + + network_topology = pd.concat([end_year_topology, topology_derating.loc[:,years]], axis=1) + network_topology = gpd.GeoDataFrame(network_topology, geometry='geometry', crs = snakemake.config["gis"]["crs"]["geo_crs"]) + + network_topology['length'] = network_topology.apply(lambda row: haversine_length(row, centroids), axis=1) * snakemake.config['lines']['length_factor'] + network_topology.columns = [str(col) for col in network_topology.columns] + + return lines, network_topology if __name__ == "__main__": - buses, lines = build_topology() + # Mock snakemake for testing if not running via Snakemake + if 'snakemake' not in globals(): + from _helpers import mock_snakemake + snakemake = mock_snakemake( + 'build_topology', + **{ + 'scenario':'IRP_REF_CI', + } + ) + logging.info("Loading scenario configuration") + + scenario_setup = load_scenario_definition(snakemake) + + years = scenario_setup.loc["simulation_years"] + if not isinstance(years, int): + years = list(map(int, re.split(r",\s*", years))) + + logging.info("Loading region GIS data") + model_regions = str(int(scenario_setup.loc["regions"])) + regions = load_region_data(model_regions) + + logging.info("Building regions") + buses, regions, centroids = build_regions(regions, snakemake.config['lines']) + + save_to_geojson(buses.to_crs(snakemake.config["gis"]["crs"]["geo_crs"]),snakemake.output.buses) - buses.to_csv(snakemake.output.buses) - lines.to_csv(snakemake.output.lines) + logging.info("Building network topology") + if model_regions != '1': + lines, network_topology = build_topology(centroids, years, snakemake.config['lines']) + save_to_geojson(network_topology, snakemake.output.lines) + else: + save_to_geojson(buses.to_crs(snakemake.config["gis"]["crs"]["geo_crs"]),snakemake.output.lines) diff --git a/scripts/custom_constraints.py b/scripts/custom_constraints.py new file mode 100644 index 0000000..8bc7894 --- /dev/null +++ b/scripts/custom_constraints.py @@ -0,0 +1,303 @@ +import logging +import pandas as pd +import pypsa +from pypsa.descriptors import get_switchable_as_dense as get_as_dense, expand_series, get_activity_mask +from pypsa.optimization.common import reindex +import os + +from _helpers import get_investment_periods +# from add_electricity import load_costs, update_transmission_costs + +import xarray as xr +import warnings +warnings.simplefilter(action='ignore', category=FutureWarning) # Comment out for debugging and development + +idx = pd.IndexSlice +logger = logging.getLogger(__name__) + + +""" +******************************************************************************** + Operational limits +******************************************************************************** +""" + +def calc_max_gen_potential(n, sns, gens, incl_pu, weightings, active, cf_limit, extendable=False): + suffix = "" if extendable == False else "-ext" + p_max_pu = get_as_dense(n, 'Generator', "p_max_pu", sns)[gens] if incl_pu else pd.DataFrame(1, index=sns, columns=gens) + p_max_pu.columns.name = f'Generator{suffix}' + + if n.multi_invest: + cf_limit_h = pd.DataFrame(0, index=sns, columns=gens) + for y in cf_limit_h.index.get_level_values(0).unique(): + cf_limit_h.loc[y] = cf_limit[y] + else: + cf_limit_h = pd.DataFrame(cf_limit[sns[0].year], index=sns, columns=gens) * weightings[gens] + + if not extendable: + return cf_limit_h[gens] * active[gens] * p_max_pu * weightings[gens] * n.generators.loc[gens, "p_nom"] + p_nom = n.model.variables["Generator-p_nom"].sel({f"Generator{suffix}": gens}) + potential = xr.DataArray(cf_limit_h[gens] * active[gens] * p_max_pu * weightings[gens]) + potential = potential.rename({"Generator":"Generator-ext"}) if "Generator" in potential.dims else potential + + return (potential * p_nom).sum(f'Generator{suffix}') + +def group_and_sum(data, groupby_func): + grouped_data = data.groupby(groupby_func).sum() + return grouped_data.sum(axis=1) if len(grouped_data) > 1 else grouped_data + +def apply_operational_constraints(n, sns, **kwargs): + energy_unit_conversion = {"GW":1e3, "GJ": 1/3.6, "TJ": 1000/3.6, "PJ": 1e6/3.6, "GWh": 1e3, "TWh": 1e6} + apply_to = kwargs["apply_to"] + + carrier = [c.strip() for c in kwargs["carrier"].split("+")] + + #if carrier in ["gas", "diesel"]: + # carrier = n.carriers[n.carriers.index.str.contains(carrier)].index + bus = kwargs["bus"] + period = kwargs["period"] + + type_ = "energy_power" if kwargs["type"] in ["primary_energy", "output_energy", "output_power"] else "capacity_factor" + + if (period == "week") & (max(n.snapshot_weightings["generators"])>1): + logger.warning( + "Applying weekly operational limits and time segmentation should be used with caution as the snapshot weightings might not align with the weekly grouping." + ) + incl_pu = kwargs["incl_pu"] + limit = kwargs["limit"] + + sense = "<=" if limit == "max" else ">=" + + cf_limit = 0 * kwargs["values"] if type_ == "energy_power" else kwargs["values"] + en_pow_limit = 0 * kwargs["values"] if type_ == "capacity_factor" else kwargs["values"] + + if ((kwargs["type"] in ["primary_energy", "output_energy"]) & (kwargs["units"] != "MWh")) or ((kwargs["type"] == "output_power") & (kwargs["units"] != "MW")): + en_pow_limit *= energy_unit_conversion[kwargs["units"]] + + years = get_investment_periods(sns, n.multi_invest) + + filtered_gens = n.generators.query("carrier in @carrier") if len(carrier)>1 else n.generators.query("carrier == @carrier") + if bus != "global": + filtered_gens = filtered_gens.query("bus == @bus") + fix_i = filtered_gens.query("not p_nom_extendable").index if apply_to in ["fixed", "all"] else [] + ext_i = filtered_gens.query("p_nom_extendable").index if apply_to in ["extendable", "all"] else [] + filtered_gens = filtered_gens.loc[list(fix_i) + list(ext_i)] + + if len(filtered_gens) == 0: + return + + efficiency = get_as_dense(n, "Generator", "efficiency", inds=filtered_gens.index) if kwargs["type"] == "primary_energy" else pd.DataFrame(1, index=n.snapshots, columns = filtered_gens.index) + weightings = (1/efficiency).multiply(n.snapshot_weightings.generators, axis=0) + + # if only extendable generators only select snapshots where generators are active + min_year = n.generators.loc[filtered_gens.index, "build_year"].min() + sns_active = sns[sns.get_level_values(0) >= min_year] if n.multi_invest else sns[sns.year >= min_year] + act_gen = (n.model.variables['Generator-p'].loc[sns_active, filtered_gens.index] * weightings.loc[sns_active]).sel(Generator=filtered_gens.index).sum('Generator') + act_gen_pow = (n.model.variables['Generator-p'].loc[sns_active, filtered_gens.index]).sel(Generator=filtered_gens.index).sum('Generator') + + timestep = "timestep" if n.multi_invest else "snapshot" + groupby_dict = { + "year": f"{timestep}.year", + "month": f"{timestep}.month", + "week": f"{timestep}.week", + "hour": None + } + + active = get_activity_mask(n, "Generator", sns).astype(int) + if type_ != "energy_power": + max_gen_fix = calc_max_gen_potential(n, sns, fix_i, incl_pu, weightings, active, cf_limit, extendable=False) if len(fix_i)>0 else 0 + max_gen_ext = calc_max_gen_potential(n, sns, ext_i, incl_pu, weightings, active, cf_limit, extendable=True) if len(ext_i)>0 else 0 + + if groupby := groupby_dict[period]: + for y in years: + year_sns = sns_active[sns_active.get_level_values(0)==y] if n.multi_invest else sns_active + if len(year_sns) > 0: + if type_ == "capacity_factor": + lhs = (act_gen - max_gen_ext) + if (isinstance(max_gen_fix, int)) | (isinstance(max_gen_fix, float)): + rhs = max_gen_fix + else: + rhs = max_gen_fix.loc[y] if n.multi_invest else max_gen_fix.loc[year_sns] + else: + lhs = act_gen + rhs = en_pow_limit[y] + lhs = lhs.sel(snapshot=year_sns) + lhs_p = lhs.sum() if period == "year" else lhs.groupby(groupby).sum() + + # if period == "month": + # if isinstance(rhs, int) or isinstance(rhs, float): + # rhs_p = rhs + # else: + # rhs_p = group_and_sum(rhs, lambda x: x.index.month) + # rhs_p.index.name = period + # elif period == "week": + # if isinstance(rhs, int) or isinstance(rhs, float): + # rhs_p = rhs + # else: + # rhs_p = group_and_sum(rhs, lambda x: x.index.isocalendar().week) + # rhs_p.index.name = period + # else: # period == "year" + # rhs_p = rhs if isinstance(rhs, int) or isinstance(rhs, float) else rhs.sum().sum() + rhs_p = rhs if isinstance(rhs, int) else rhs.sum().sum() + n.model.add_constraints(lhs_p, sense, rhs_p, name=f'{limit}-{kwargs["carrier"]}-{period}-{kwargs["apply_to"][:3]}-{y}') + + else: + + lhs = (act_gen - max_gen_ext).sel(snapshot = sns_active) if type_ == "capacity_factor" else act_gen_pow.sel(snapshot = sns_active) + if kwargs["type"] == "output_energy": + logging.warning("Energy limits are not yet implemented for hourly operational limits.") + return + + if type_ == "capacity_factor": + rhs = ( + max_gen_fix + if isinstance(max_gen_fix, int) + else xr.DataArray( + max_gen_fix.loc[sns_active].sum(axis=1) + ).rename({"dim_0": "snapshot"}) + ) + else: + rhs = pd.Series(index = sns) + for y in years: + rhs.loc[y] = en_pow_limit[y] + + n.model.add_constraints(lhs, sense, rhs, name = f'{limit}-{kwargs["carrier"]}-hour-{kwargs["apply_to"][:3]}') + +def set_operational_limits(n, sns, scenario_setup): + + op_limits = pd.read_excel( + os.path.join(scenario_setup["sub_path"], "operational_constraints.xlsx"), + sheet_name='operational_constraints', + index_col=list(range(9)), + ) + + if scenario_setup["operational_limits"] not in op_limits.index.get_level_values(0).unique(): + return + op_limits = op_limits.loc[scenario_setup["operational_limits"]] + + #drop rows where all NaN + op_limits = op_limits.loc[~(op_limits.isna().all(axis=1))] + for idx, row in op_limits.iterrows(): + apply_operational_constraints( + n, sns, + bus = idx[0], carrier = idx[1], + type = idx[2], values = row, + period = idx[3], incl_pu = idx[4], + limit = idx[5], apply_to = idx[6], + units = idx[7], + ) + + +def ccgt_steam_constraints(n, sns, snakemake): + # At each bus HRSG power is limited by what OCGT power production + config = snakemake.config["electricity"]["conventional_generators"] + p_nom_ratio = config["ccgt_st_to_gt_ratio"] + ocgt_carriers = n.generators.carrier[(n.generators.carrier.str.contains("ocgt"))].unique() + + # remove ocgt_diesel_emg from ocgt_carriers + ocgt_carriers = [c for c in ocgt_carriers if c in config["allowable_ocgt_st_carriers"]] + + #ocgt_carriers = ["ocgt_gas", "ocgt_diesel"] + for bus in n.buses.index: + ocgt_gens = n.generators.query("bus == bus & carrier in @ocgt_carriers").index + ccgt_hrsg = n.generators.query("bus == bus & carrier == 'ccgt_steam'").index + + lhs = (n.model.variables['Generator-p'].loc[sns, ccgt_hrsg] - p_nom_ratio*n.model.variables['Generator-p'].loc[sns, ocgt_gens]).sum("Generator") + rhs = 0 + n.model.add_constraints(lhs, "<=", rhs, name = f'ccgt_steam_limit-{bus}') + +""" +******************************************************************************** + Reserve margin +******************************************************************************** +""" +def check_active(n, c, y, list): + active = n.df(c).index[n.get_active_assets(c, y)] if n.multi_invest else list + return list.intersection(active) + +def reserve_margin_constraints(n, sns, scenario_setup, snakemake): + ################################################################################### + # Reserve margin above maximum peak demand in each year + # The sum of res_margin_carriers multiplied by their assumed constribution factors + # must be higher than the maximum peak demand in each year by the reserve_margin value + + res_margin = pd.read_excel( + os.path.join(scenario_setup["sub_path"], "reserve_margin.xlsx"), + sheet_name="reserve_margin", + index_col=[0,1]).loc[scenario_setup["reserve_margin"]].drop("unit", axis=1) + + capacity_credit = pd.read_excel( + os.path.join(scenario_setup["sub_path"], "reserve_margin.xlsx"), + sheet_name="capacity_credits", + index_col=[0])[scenario_setup["capacity_credits"]] + + res_mrgn_active = res_margin.loc["reserve_margin_active"] + res_mrgn = res_margin.loc["reserve_margin"] + + peak = n.loads_t.p_set.loc[sns].sum(axis=1).groupby(sns.get_level_values(0)).max() if n.multi_invest else n.loads_t.p_set.loc[sns].sum(axis=1).max() + peak = peak if n.multi_invest else pd.Series(peak, index = sns.year.unique()) + #capacity_credit = snakemake.config["electricity"]["reserves"]["capacity_credit"] + + for y in peak.index: + if res_mrgn_active[y]: + + fix_i = n.generators.query("not p_nom_extendable & carrier in @capacity_credit").index + ext_i = n.generators.query("p_nom_extendable & carrier in @capacity_credit").index + + fix_cap = 0 + lhs = 0 + for c in ["Generator", "StorageUnit"]: + fix_i = n.df(c).query("not p_nom_extendable & carrier in @capacity_credit.index").index + fix_i = check_active(n, c, y, fix_i) + + fix_cap += ( + n.df(c).loc[fix_i, "carrier"].map(capacity_credit) + * n.df(c).loc[fix_i, "p_nom"] + ).sum() + + ext_i = n.df(c).query("p_nom_extendable & carrier in @capacity_credit.index").index + ext_i = check_active(n, c, y, ext_i) + + lhs += ( + n.model.variables[f"{c}-p_nom"].sel({f"{c}-ext":ext_i}) + *xr.DataArray(n.df(c).loc[ext_i, "carrier"].map(capacity_credit)).rename({f"{c}":f"{c}-ext"}) + ).sum(f"{c}-ext") + + rhs = peak.loc[y]*(1+res_mrgn[y]) - fix_cap + + n.model.add_constraints(lhs, ">=", rhs, name = f"reserve_margin_{y}") + +def annual_co2_constraints(n, sns, param, scenario_setup): + + if scenario_setup["co2_constraints"] in ["None", "none", ""]: + return + + gen_emissions = param.loc["co2_emissions"].drop("unit", axis=1) + gen_emissions = gen_emissions[gen_emissions.mean(axis=1) >0] + + gen_p = n.model.variables['Generator-p'] + gen_p = gen_p.sel(Generator = n.generators.query("carrier in @gen_emissions.index").index) + + co2_emissions = xr.DataArray(coords=gen_p.coords, dims=gen_p.dims) + + for gen in gen_p.coords["Generator"].values: + for y in n.investment_periods: + co2_emissions.loc[dict(period=y, Generator=gen)] = ( + gen_emissions.loc[n.generators.loc[gen, "carrier"], y] / n.generators.loc[gen, "efficiency"] + ) + lhs = (gen_p * co2_emissions).sum("Generator").groupby("period").sum() + + annual_limits = pd.read_excel( + os.path.join(scenario_setup["sub_path"], "carbon_constraints.xlsx"), + sheet_name="annual_carbon_constraint", + index_col=[0]).loc[scenario_setup["co2_constraints"]] + + conv = 1 + if annual_limits.unit.split("/")[0] == "Mt": + conv = 1e6 + elif annual_limits.units.split("/")[0] == "Gt": + conv=1e9 + + rhs = (annual_limits.loc[n.investment_periods] * conv) + rhs.index.name = "period" + n.model.add_constraints(lhs, "<=", rhs, name = 'annual_co2_limits') diff --git a/scripts/extract_summaries.py b/scripts/extract_summaries.py deleted file mode 100644 index c9d1e9b..0000000 --- a/scripts/extract_summaries.py +++ /dev/null @@ -1,172 +0,0 @@ -import os -import pypsa -import pandas as pd -import numpy as np -from itertools import product, chain -from six.moves import map, zip -from six import itervalues, iterkeys -from collections import OrderedDict as odict - -from _helpers import load_network - -if 'snakemake' not in globals(): - from vresutils import Dict - import yaml - snakemake = Dict() - snakemake.input = ['../results/networks/CSIR-Expected-Apr2016_corridors_E', - '../results/networks/IRP2016-Apr2016_corridors_E'] - snakemake.output = ['../results/summaries'] - snakemake.params = Dict(scenario_tmpl="{cost}_{mask}_{sectors}", - scenarios=Dict(cost=['CSIR-Expected-Apr2016', - 'IRP2016-Apr2016'], - mask=['corridors'], sectors=['E'])) - with open('../config.yaml') as f: - snakemake.config = yaml.load(f) - -opts = snakemake.config['plotting'] - -def collect_networks(): - basenames = list(map(os.path.basename, snakemake.input)) - networks = [] - - for p in (odict(zip(iterkeys(snakemake.params.scenarios), o)) - for o in product(*itervalues(snakemake.params.scenarios))): - scenario = snakemake.params.scenario_tmpl.replace('[', '{').replace(']', '}').format(**p) - if scenario in basenames: - networks.append((scenario, p, snakemake.input[basenames.index(scenario)])) - - return networks - - - -group_sum_dir = snakemake.output[0] -if not os.path.isdir(group_sum_dir): - os.mkdir(group_sum_dir) - -def clean_and_save(df, fn, dropna=True): - if dropna: - df = df.dropna(axis=0, how='all') - df.columns = pd.MultiIndex.from_tuples(df.columns, names=list(snakemake.params.scenarios.keys())) - df = df.sort_index(axis=1) - df.to_csv(os.path.join(group_sum_dir, fn)) - return df - - -## Look at aggregated totals - -class p(object): - def __init__(s): - s.storage = pd.DataFrame(index=opts['storage_techs']) - s.gen = pd.DataFrame(index=opts['vre_techs']+opts['conv_techs']) - s.links = pd.DataFrame(index=opts['link_carriers'] + opts['heat_links'] + opts['heat_generators']) - s.loads = pd.DataFrame(index=opts['load_carriers']) - - def add(s, sn, p, n): - s.storage[tuple(p.values())] = n.storage_units.groupby("carrier").p_nom_opt.sum() - s.gen[tuple(p.values())] = n.generators.groupby("carrier").p_nom_opt.sum() - s.links[tuple(p.values())] = n.links.groupby("carrier").p_nom_opt.sum() - s.loads[tuple(p.values())] = n.loads_t.p.groupby(n.loads.carrier,axis=1).sum().mean() - - def write(s): - return clean_and_save(pd.concat((s.storage, s.gen, s.links, s.loads)), snakemake.output.p_nom_opt) - -class e(object): - def __init__(s): - s.nom = pd.DataFrame(index=opts['storage_techs'] + opts['store_techs']) - s.storage = pd.DataFrame(index=opts['storage_techs']) - s.store = pd.DataFrame(index=opts['store_techs']) - s.gen = pd.DataFrame(index=opts['vre_techs'] + opts['conv_techs']) - s.load = pd.DataFrame(index=opts['load_carriers']) - - def add(s, sn, p, n): - s.nom[tuple(p.values())] = pd.concat([ - (n.storage_units["p_nom_opt"]*n.storage_units["max_hours"]).groupby(n.storage_units["carrier"]).sum(), - n.stores["e_nom_opt"].groupby(n.stores["carrier"]).sum() - ]) - - s.storage[tuple(p.values())] = n.storage_units_t.p.sum().groupby(n.storage_units["carrier"]).sum() - s.store[tuple(p.values())] = n.stores_t.p.sum().groupby(n.stores["carrier"]).sum() - s.gen[tuple(p.values())] = n.generators_t.p.sum().groupby(n.generators["carrier"]).sum() - - #s.ambient.loc["Ambient", tuple(p.values())] = -(n.links_t.p0.sum().sum() + n.links_t.p1.sum().sum()) - s.load[tuple(p.values())] = -n.loads_t.p.sum().groupby(n.loads.carrier).sum() - - def write(s): - clean_and_save(s.nom, snakemake.output.e_nom_opt) - return clean_and_save(pd.concat((s.gen, s.storage, s.store, s.load)), snakemake.output.e) - - - -## Examine curtailment as % of available VRE energy - -class e_curtailed(object): - def __init__(s): - s.curtailed = pd.DataFrame() - - def add(s, sn, p, n): - s.curtailed[tuple(p.values())] = pd.concat([ - ((n.generators_t.p_max_pu.sum().multiply(n.generators.p_nom_opt) - n.generators_t.p.sum()) - .groupby(n.generators.carrier).sum()), - ((n.storage_units_t.inflow.sum() - n.storage_units_t.p.sum()) - .groupby(n.storage_units.carrier).sum()) - ]) - - def write(s): - return clean_and_save(s.curtailed, snakemake.output.e_curtailed) - - -class costs(object): - def __init__(s): - s.components = dict(Link=("p_nom_opt", "p0"), - Generator=("p_nom_opt", "p"), - StorageUnit=("p_nom_opt", "p"), - Store=("e_nom_opt", "p"), - Line=("s_nom_opt", None), - Transformer=("s_nom_opt", None)) - - combinations=chain(*(product([n], c) - for n, c in (("generators", opts['vre_techs'] + opts['conv_techs']), - ("links", opts["heat_links"] + opts["heat_generators"] + opts['link_carriers']), - ("storage_units", opts["storage_techs"]), - ("stores", opts["store_techs"]), - ("lines", opts["AC_carriers"])))) - index = pd.MultiIndex.from_tuples([(comp, capmarg, carrier) - for (comp, carrier), capmarg in product(combinations, ['capital', 'marginal'])]) - s.costs2 = pd.DataFrame(index=index) - s.costs = pd.DataFrame(index=(opts['vre_techs'] + opts['conv_techs'] + - [t + ' marginal' for t in opts['conv_techs']] + - opts['heat_links'] + opts['heat_generators'] + - opts['link_carriers'] + opts['storage_techs'] + - opts['store_techs'] + opts['AC_carriers'])) - - def add(s, sn, pa, n): - costs = {} - for c, (p_nom, p_attr) in zip(n.iterate_components(iterkeys(s.components), skip_empty=False), itervalues(s.components)): - costs[(c.list_name, 'capital')] = (c.df[p_nom] * c.df.capital_cost).groupby(c.df.carrier).sum() - if p_attr is not None: - p = c.pnl[p_attr].sum() - if c.name == 'StorageUnit': - p = p.loc[p > 0] - costs[(c.list_name, 'marginal')] = (p*c.df.marginal_cost).groupby(c.df.carrier).sum() - costs = pd.concat(costs) - - s.costs2[tuple(pa.values())] = costs - - costs = costs.reset_index(level=0, drop=True) - s.costs[tuple(pa.values())] = costs['capital'].add((costs['marginal'] - .rename(columns={t: t + ' marginal' for t in opts['conv_techs']})), - fill_value=0.) - - def write(s): - clean_and_save(s.costs, snakemake.output.costs) - return clean_and_save(s.costs2, snakemake.output.costs2) - - -if __name__ == '__main__': - summers = [p(), e(), e_curtailed(), costs()] - networks = collect_networks() - for scenario, params, fn in networks: - n = load_network(fn, opts) - for s in summers: s.add(scenario, params, n) - - for s in summers: s.write() diff --git a/scripts/make_summary.py b/scripts/make_summary.py deleted file mode 100644 index 66b74ea..0000000 --- a/scripts/make_summary.py +++ /dev/null @@ -1,412 +0,0 @@ -import os -from six import iteritems -from itertools import product -import pandas as pd - -import pypsa - -from add_electricity import load_costs, update_transmission_costs - -idx = pd.IndexSlice - -opt_name = {"Store": "e", "Line" : "s", "Transformer" : "s"} - -def assign_carriers(n): - - if "carrier" not in n.loads: - n.loads["carrier"] = "electricity" - for carrier in ["transport","heat","urban heat"]: - n.loads.loc[n.loads.index.str.contains(carrier),"carrier"] = carrier - - n.storage_units['carrier'].replace({'hydro': 'hydro+PHS', 'PHS': 'hydro+PHS'}, inplace=True) - - if "carrier" not in n.lines: - n.lines["carrier"] = "AC" - - n.lines["carrier"].replace({"AC": "lines"}, inplace=True) - - if n.links.empty: n.links["carrier"] = pd.Series(dtype=str) - n.links["carrier"].replace({"DC": "lines"}, inplace=True) - - if "EU gas store" in n.stores.index and n.stores.loc["EU gas Store","carrier"] == "": - n.stores.loc["EU gas Store","carrier"] = "gas Store" - - -def calculate_costs(n,label,costs): - - for c in n.iterate_components(n.branch_components|n.controllable_one_port_components^{"Load"}): - capital_costs = c.df.capital_cost*c.df[opt_name.get(c.name,"p") + "_nom_opt"] - capital_costs_grouped = capital_costs.groupby(c.df.carrier).sum() - - costs = costs.reindex(costs.index|pd.MultiIndex.from_product([[c.list_name],["capital"],capital_costs_grouped.index])) - - costs.loc[idx[c.list_name,"capital",list(capital_costs_grouped.index)],label] = capital_costs_grouped.values - - if c.name == "Link": - p = c.pnl.p0.multiply(n.snapshot_weightings,axis=0).sum() - elif c.name == "Line": - continue - elif c.name == "StorageUnit": - p_all = c.pnl.p.multiply(n.snapshot_weightings,axis=0) - p_all[p_all < 0.] = 0. - p = p_all.sum() - else: - p = c.pnl.p.multiply(n.snapshot_weightings,axis=0).sum() - - marginal_costs = p*c.df.marginal_cost - - marginal_costs_grouped = marginal_costs.groupby(c.df.carrier).sum() - - costs = costs.reindex(costs.index|pd.MultiIndex.from_product([[c.list_name],["marginal"],marginal_costs_grouped.index])) - - costs.loc[idx[c.list_name,"marginal",list(marginal_costs_grouped.index)],label] = marginal_costs_grouped.values - - return costs - -def calculate_curtailment(n,label,curtailment): - - avail = n.generators_t.p_max_pu.multiply(n.generators.p_nom_opt).sum().groupby(n.generators.carrier).sum() - used = n.generators_t.p.sum().groupby(n.generators.carrier).sum() - - curtailment[label] = (((avail - used)/avail)*100).round(3) - - return curtailment - -def calculate_energy(n,label,energy): - - for c in n.iterate_components(n.one_port_components|n.branch_components): - - if c.name in n.one_port_components: - c_energies = c.pnl.p.multiply(n.snapshot_weightings,axis=0).sum().multiply(c.df.sign).groupby(c.df.carrier).sum() - else: - c_energies = (-c.pnl.p1.multiply(n.snapshot_weightings,axis=0).sum() - c.pnl.p0.multiply(n.snapshot_weightings,axis=0).sum()).groupby(c.df.carrier).sum() - - energy = include_in_summary(energy, [c.list_name], label, c_energies) - - return energy - -def include_in_summary(summary, multiindexprefix, label, item): - summary = summary.reindex(summary.index | pd.MultiIndex.from_product([[p] for p in multiindexprefix] + [item.index])) - summary.loc[idx[tuple(multiindexprefix + [list(item.index)])], label] = item.values - return summary - -def calculate_capacity(n,label,capacity): - - for c in n.iterate_components(n.one_port_components): - if 'p_nom_opt' in c.df.columns: - c_capacities = abs(c.df.p_nom_opt.multiply(c.df.sign)).groupby(c.df.carrier).sum() - capacity = include_in_summary(capacity, [c.list_name], label, c_capacities) - - for c in n.iterate_components(n.passive_branch_components): - c_capacities = c.df['s_nom_opt'].groupby(c.df.carrier).sum() - capacity = include_in_summary(capacity, [c.list_name], label, c_capacities) - - for c in n.iterate_components(n.controllable_branch_components): - c_capacities = c.df.p_nom_opt.groupby(c.df.carrier).sum() - capacity = include_in_summary(capacity, [c.list_name], label, c_capacities) - - return capacity - -def calculate_supply(n,label,supply): - """calculate the max dispatch of each component at the buses where the loads are attached""" - - load_types = n.loads.carrier.value_counts().index - - for i in load_types: - - buses = n.loads.bus[n.loads.carrier == i].values - - bus_map = pd.Series(False,index=n.buses.index) - - bus_map.loc[buses] = True - - for c in n.iterate_components(n.one_port_components): - - items = c.df.index[c.df.bus.map(bus_map)] - - if len(items) == 0: - continue - - s = c.pnl.p[items].max().multiply(c.df.loc[items,'sign']).groupby(c.df.loc[items,'carrier']).sum() - - supply = supply.reindex(supply.index|pd.MultiIndex.from_product([[i],[c.list_name],s.index])) - supply.loc[idx[i,c.list_name,list(s.index)],label] = s.values - - - for c in n.iterate_components(n.branch_components): - - for end in ["0","1"]: - - items = c.df.index[c.df["bus" + end].map(bus_map)] - - if len(items) == 0: - continue - - #lots of sign compensation for direction and to do maximums - s = (-1)**(1-int(end))*((-1)**int(end)*c.pnl["p"+end][items]).max().groupby(c.df.loc[items,'carrier']).sum() - - supply = supply.reindex(supply.index|pd.MultiIndex.from_product([[i],[c.list_name],s.index])) - supply.loc[idx[i,c.list_name,list(s.index)],label] = s.values - - return supply - -def calculate_supply_energy(n,label,supply_energy): - """calculate the total dispatch of each component at the buses where the loads are attached""" - - load_types = n.loads.carrier.value_counts().index - - for i in load_types: - - buses = n.loads.bus[n.loads.carrier == i].values - - bus_map = pd.Series(False,index=n.buses.index) - - bus_map.loc[buses] = True - - for c in n.iterate_components(n.one_port_components): - - items = c.df.index[c.df.bus.map(bus_map)] - - if len(items) == 0: - continue - - s = c.pnl.p[items].sum().multiply(c.df.loc[items,'sign']).groupby(c.df.loc[items,'carrier']).sum() - - supply_energy = supply_energy.reindex(supply_energy.index|pd.MultiIndex.from_product([[i],[c.list_name],s.index])) - supply_energy.loc[idx[i,c.list_name,list(s.index)],label] = s.values - - - for c in n.iterate_components(n.branch_components): - - for end in ["0","1"]: - - items = c.df.index[c.df["bus" + end].map(bus_map)] - - if len(items) == 0: - continue - - s = (-1)*c.pnl["p"+end][items].sum().groupby(c.df.loc[items,'carrier']).sum() - - supply_energy = supply_energy.reindex(supply_energy.index|pd.MultiIndex.from_product([[i],[c.list_name],s.index])) - supply_energy.loc[idx[i,c.list_name,list(s.index)],label] = s.values - - return supply_energy - -def calculate_metrics(n,label,metrics): - - metrics = metrics.reindex(metrics.index|pd.Index(["line_volume","line_volume_limit","line_volume_AC","line_volume_DC","line_volume_shadow","co2_shadow"])) - - metrics.at["line_volume_DC",label] = (n.links.length*n.links.p_nom_opt)[n.links.carrier == "DC"].sum() - metrics.at["line_volume_AC",label] = (n.lines.length*n.lines.s_nom_opt).sum() - metrics.at["line_volume",label] = metrics.loc[["line_volume_AC","line_volume_DC"],label].sum() - - if hasattr(n,"line_volume_limit"): - metrics.at["line_volume_limit",label] = n.line_volume_limit - - if hasattr(n,"line_volume_limit_dual"): - metrics.at["line_volume_shadow",label] = n.line_volume_limit_dual - - if "CO2Limit" in n.global_constraints.index: - metrics.at["co2_shadow",label] = n.global_constraints.at["CO2Limit","mu"] - - return metrics - - -def calculate_prices(n,label,prices): - - bus_type = pd.Series(n.buses.index.str[3:],n.buses.index).replace("","electricity") - - prices = prices.reindex(prices.index|bus_type.value_counts().index) - - #WARNING: this is time-averaged, should really be load-weighted average - prices[label] = n.buses_t.marginal_price.mean().groupby(bus_type).mean() - - return prices - - - -def calculate_weighted_prices(n,label,weighted_prices): - # Warning: doesn't include storage units as loads - - - weighted_prices = weighted_prices.reindex(pd.Index(["electricity","heat","space heat","urban heat","space urban heat","gas","H2"])) - - link_loads = {"electricity" : ["heat pump", "resistive heater", "battery charger", "H2 Electrolysis"], - "heat" : ["water tanks charger"], - "urban heat" : ["water tanks charger"], - "space heat" : [], - "space urban heat" : [], - "gas" : ["OCGT","gas boiler","CHP electric","CHP heat"], - "H2" : ["Sabatier", "H2 Fuel Cell"]} - - for carrier in link_loads: - - if carrier == "electricity": - suffix = "" - elif carrier[:5] == "space": - suffix = carrier[5:] - else: - suffix = " " + carrier - - buses = n.buses.index[n.buses.index.str[2:] == suffix] - - if buses.empty: - continue - - if carrier in ["H2","gas"]: - load = pd.DataFrame(index=n.snapshots,columns=buses,data=0.) - elif carrier[:5] == "space": - load = heat_demand_df[buses.str[:2]].rename(columns=lambda i: str(i)+suffix) - else: - load = n.loads_t.p_set[buses] - - - for tech in link_loads[carrier]: - - names = n.links.index[n.links.index.to_series().str[-len(tech):] == tech] - - if names.empty: - continue - - load += n.links_t.p0[names].groupby(n.links.loc[names,"bus0"],axis=1).sum(axis=1) - - #Add H2 Store when charging - if carrier == "H2": - stores = n.stores_t.p[buses+ " Store"].groupby(n.stores.loc[buses+ " Store","bus"],axis=1).sum(axis=1) - stores[stores > 0.] = 0. - load += -stores - - weighted_prices.loc[carrier,label] = (load*n.buses_t.marginal_price[buses]).sum().sum()/load.sum().sum() - - if carrier[:5] == "space": - print(load*n.buses_t.marginal_price[buses]) - - return weighted_prices - - - -# BROKEN don't use -# -# def calculate_market_values(n, label, market_values): -# # Warning: doesn't include storage units - -# n.buses["suffix"] = n.buses.index.str[2:] -# suffix = "" -# buses = n.buses.index[n.buses.suffix == suffix] - -# ## First do market value of generators ## -# generators = n.generators.index[n.buses.loc[n.generators.bus,"suffix"] == suffix] -# techs = n.generators.loc[generators,"carrier"].value_counts().index -# market_values = market_values.reindex(market_values.index | techs) - -# for tech in techs: -# gens = generators[n.generators.loc[generators,"carrier"] == tech] -# dispatch = n.generators_t.p[gens].groupby(n.generators.loc[gens,"bus"],axis=1).sum().reindex(columns=buses,fill_value=0.) -# revenue = dispatch*n.buses_t.marginal_price[buses] -# market_values.at[tech,label] = revenue.sum().sum()/dispatch.sum().sum() - -# ## Now do market value of links ## - -# for i in ["0","1"]: -# all_links = n.links.index[n.buses.loc[n.links["bus"+i],"suffix"] == suffix] -# techs = n.links.loc[all_links,"carrier"].value_counts().index -# market_values = market_values.reindex(market_values.index | techs) - -# for tech in techs: -# links = all_links[n.links.loc[all_links,"carrier"] == tech] -# dispatch = n.links_t["p"+i][links].groupby(n.links.loc[links,"bus"+i],axis=1).sum().reindex(columns=buses,fill_value=0.) -# revenue = dispatch*n.buses_t.marginal_price[buses] -# market_values.at[tech,label] = revenue.sum().sum()/dispatch.sum().sum() - -# return market_values - - -# OLD CODE must be adapted - -# def calculate_price_statistics(n, label, price_statistics): - - -# price_statistics = price_statistics.reindex(price_statistics.index|pd.Index(["zero_hours","mean","standard_deviation"])) -# n.buses["suffix"] = n.buses.index.str[2:] -# suffix = "" -# buses = n.buses.index[n.buses.suffix == suffix] - -# threshold = 0.1 #higher than phoney marginal_cost of wind/solar -# df = pd.DataFrame(data=0.,columns=buses,index=n.snapshots) -# df[n.buses_t.marginal_price[buses] < threshold] = 1. -# price_statistics.at["zero_hours", label] = df.sum().sum()/(df.shape[0]*df.shape[1]) -# price_statistics.at["mean", label] = n.buses_t.marginal_price[buses].unstack().mean() -# price_statistics.at["standard_deviation", label] = n.buses_t.marginal_price[buses].unstack().std() -# return price_statistics - - -outputs = ["costs", - "curtailment", - "energy", - "capacity", - "supply", - "supply_energy", - "prices", - "weighted_prices", - # "price_statistics", - # "market_values", - # "metrics", - ] - -def make_summaries(networks_dict): - - columns = pd.MultiIndex.from_tuples(networks_dict.keys(), names=["cost", "resarea", "sectors", "opts"]) - - dfs = {} - - for output in outputs: - dfs[output] = pd.DataFrame(columns=columns, dtype=float) - - for label, filename in iteritems(networks_dict): - print(label, filename) - if not os.path.exists(filename): - print("does not exist!!") - continue - - try: - n = pypsa.Network(filename) - except OSError: - logger.warning("Skipping {filename}".format(filename=filename)) - continue - - Nyears = n.snapshot_weightings.sum()/8760. - - assign_carriers(n) - - for output in outputs: - dfs[output] = globals()["calculate_" + output](n, label, dfs[output]) - - return dfs - - -def to_csv(dfs): - dir = snakemake.output[0] - os.makedirs(dir, exist_ok=True) - for key, df in iteritems(dfs): - df.to_csv(os.path.join(dir, f"{key}.csv")) - - -if __name__ == "__main__": - # Detect running outside of snakemake and mock snakemake for testing - def expand_from_wildcard(key): - w = getattr(snakemake.wildcards, key) - return snakemake.config["scenario"][key] if w == "all" else [w] - - version = snakemake.config['version'] - - networks_dict = {(cost,resarea,sectors,opts) : f'results/version-{version}/networks/{cost}_{resarea}_{sectors}_{opts}.nc' - for cost in expand_from_wildcard("cost") - for resarea in expand_from_wildcard("resarea") - for sectors in expand_from_wildcard("sectors") - for opts in expand_from_wildcard("opts")} - - # print(networks_dict) - - dfs = make_summaries(networks_dict) - - to_csv(dfs) diff --git a/scripts/plot_comparisons.py b/scripts/plot_comparisons.py deleted file mode 100644 index 23f5fa9..0000000 --- a/scripts/plot_comparisons.py +++ /dev/null @@ -1,31 +0,0 @@ -import os -import pandas as pd -from itertools import product - -opts = snakemake.config['plotting'] -scenarios = snakemake.config['scenario'].copy() - -plot_dir = snakemake.params.plot_dir -param = snakemake.wildcards.param -param_values = scenarios.pop(snakemake.wildcards.param) - -cost_df = (pd.read_csv(snakemake.input.costs2, - index_col=[0,1,2], - header=list(range(len(scenarios)))) - .reset_index(level=0, drop=True)) -#cost_df.index.rename(['components', 'capmarg', 'tech'], inplace=True) -cost_df = (cost_df.loc['capital'] - .add(cost_df.loc['marginal'] - .rename({s: s+' marginal' for s in opts['conv_techs']}), - fill_value=0.)) - -tmpl = snakemake.params.tmpl.replace('[', '{').replace(']', '}') -for vals in product(*scenarios.values()): - sc = dict(zip(scenarios.keys(), vals)) - sc[param] = "-" - fn = tmpl.format(**sc) - c = cost_df.xs(key=vals, level=scenarios.keys()) - fig, ax = plt.subplots() - c.rename(nice_names).plot.bar(stacked=True, color=itemgetter(c.index)(opts['tech_colors']), ax=ax) - for ext in snakemake.params.exts: - fig.savefig(os.path.join(plot_dir, fn + '.' + ext)) diff --git a/scripts/plot_network.py b/scripts/plot_network.py deleted file mode 100644 index b3618f8..0000000 --- a/scripts/plot_network.py +++ /dev/null @@ -1,295 +0,0 @@ -if 'snakemake' not in globals(): - from vresutils import Dict - from snakemake.rules import expand - import yaml - snakemake = Dict() - snakemake.wildcards = Dict(#cost=#'IRP2016-Apr2016', - cost='csir-aggressive', - mask='redz', - sectors='E', - opts='Co2L', - attr='p_nom') - snakemake.input = Dict(network='../results/version-0.5/networks/{cost}_{mask}_{sectors}_{opts}.nc'.format(**snakemake.wildcards), - supply_regions='../data/supply_regions/supply_regions.shp', - resarea = "../data/bundle/REDZ_DEA_Unpublished_Draft_2015") - snakemake.output = (expand('../results/plots/network_{cost}_{mask}_{sectors}_{opts}_{attr}.pdf', - **snakemake.wildcards) + - expand('../results/plots/network_{cost}_{mask}_{sectors}_{opts}_{attr}_ext.pdf', - **snakemake.wildcards)) - snakemake.params = Dict(ext=['png']) - with open('../config.yaml') as f: - snakemake.config = yaml.load(f) -else: - import matplotlib as mpl - mpl.use('Agg') - -from add_electricity import add_emission_prices -from _helpers import load_network, aggregate_p, aggregate_costs -from vresutils import plot as vplot - - -import os -import pypsa -import pandas as pd -import geopandas as gpd -import numpy as np -from itertools import product, chain -from six.moves import map, zip -from six import itervalues, iterkeys -from collections import OrderedDict as odict - -import matplotlib.pyplot as plt -import matplotlib as mpl -from matplotlib.patches import Circle, Ellipse -from matplotlib.legend_handler import HandlerPatch -import seaborn as sns -to_rgba = mpl.colors.colorConverter.to_rgba - -def make_handler_map_to_scale_circles_as_in(ax, dont_resize_actively=False): - fig = ax.get_figure() - def axes2pt(): - return np.diff(ax.transData.transform([(0,0), (1,1)]), axis=0)[0] * (72./fig.dpi) - - ellipses = [] - if not dont_resize_actively: - def update_width_height(event): - dist = axes2pt() - for e, radius in ellipses: e.width, e.height = 2. * radius * dist - fig.canvas.mpl_connect('resize_event', update_width_height) - ax.callbacks.connect('xlim_changed', update_width_height) - ax.callbacks.connect('ylim_changed', update_width_height) - - def legend_circle_handler(legend, orig_handle, xdescent, ydescent, - width, height, fontsize): - w, h = 2. * orig_handle.get_radius() * axes2pt() - e = Ellipse(xy=(0.5*width-0.5*xdescent, 0.5*height-0.5*ydescent), width=w, height=w) - ellipses.append((e, orig_handle.get_radius())) - return e - return {Circle: HandlerPatch(patch_func=legend_circle_handler)} - -def make_legend_circles_for(sizes, scale=1.0, **kw): - return [Circle((0,0), radius=(s/scale)**0.5, **kw) for s in sizes] - -plt.style.use(['classic', 'seaborn-white', - {'axes.grid': False, 'grid.linestyle': '--', 'grid.color': u'0.6', - 'hatch.color': 'white', - 'patch.linewidth': 0.5, - 'font.size': 12, - 'legend.fontsize': 'medium', - 'lines.linewidth': 1.5, - 'pdf.fonttype': 42, - # 'font.family': 'Times New Roman' - }]) - -opts = snakemake.config['plotting'] -map_figsize = opts['map']['figsize'] -map_boundaries = opts['map']['boundaries'] - -n = load_network(snakemake.input.network, opts) - -scenario_opts = snakemake.wildcards.opts.split('-') -if 'Ep' in scenario_opts or 'Co2L' in scenario_opts: - # Substract emission prices - add_emission_prices(n, - pd.Series(snakemake.config['costs']['emission_prices']), - exclude_co2='Co2L' in scenario_opts) - -supply_regions = gpd.read_file(snakemake.input.supply_regions).buffer(-0.005) #.to_crs(n.crs) -renewable_regions = gpd.read_file(snakemake.input.resarea).to_crs(supply_regions.crs) - -## DATA -line_colors = {'cur': "purple", - 'exp': to_rgba("red", 0.7)} -tech_colors = opts['tech_colors'] - -if snakemake.wildcards.attr == 'p_nom': - # bus_sizes = n.generators_t.p.sum().loc[n.generators.carrier == "load"].groupby(n.generators.bus).sum() - bus_sizes = pd.concat((n.generators.query('carrier != "load"').groupby(['bus', 'carrier']).p_nom_opt.sum(), - n.storage_units.groupby(['bus', 'carrier']).p_nom_opt.sum())) - line_widths_exp = pd.concat(dict(Line=n.lines.s_nom_opt, Link=n.links.p_nom_opt)) - line_widths_cur = pd.concat(dict(Line=n.lines.s_nom_min, Link=n.links.p_nom_min)) -else: - raise 'plotting of {} has not been implemented yet'.format(plot) - - -line_colors_with_alpha = \ -((line_widths_cur / pd.concat(dict(Line=n.lines.s_nom, Link=n.links.p_nom)) > 1e-3) - .map({True: line_colors['cur'], False: to_rgba(line_colors['cur'], 0.)})) - -## FORMAT -linewidth_factor = opts['map'][snakemake.wildcards.attr]['linewidth_factor'] -bus_size_factor = opts['map'][snakemake.wildcards.attr]['bus_size_factor'] - -## PLOT -fig, ax = plt.subplots(figsize=map_figsize) -vplot.shapes(supply_regions.geometry, facecolors='k', outline='k', ax=ax, rasterized=True) -vplot.shapes(renewable_regions.geometry, facecolors='gray', alpha=0.2, ax=ax, rasterized=True) -n.plot(line_widths=line_widths_exp/linewidth_factor, - line_colors=dict(Line=line_colors['exp'], Link=line_colors['exp']), - bus_sizes=bus_sizes/bus_size_factor, - bus_colors=tech_colors, - boundaries=map_boundaries, - basemap=False, - ax=ax) -n.plot(line_widths=line_widths_cur/linewidth_factor, - line_colors=line_colors_with_alpha, - bus_sizes=0, - bus_colors=tech_colors, - boundaries=map_boundaries, - basemap=False, - ax=ax) -ax.set_aspect('equal') -ax.axis('off') - -x1, y1, x2, y2 = map_boundaries -ax.set_xlim(x1, x2) -ax.set_ylim(y1, y2) - - -# Rasterize basemap -#for c in ax.collections[:2]: c.set_rasterized(True) - -# LEGEND -handles = [] -labels = [] - -for s in (10, 5): - handles.append(plt.Line2D([0],[0],color=line_colors['exp'], - linewidth=s*1e3/linewidth_factor)) - labels.append("{} GW".format(s)) -l1 = l1_1 = ax.legend(handles, labels, - loc="upper left", bbox_to_anchor=(0.24, 1.01), - frameon=False, - labelspacing=0.8, handletextpad=1.5, - title='Transmission Exist./Exp. ') -ax.add_artist(l1_1) - -handles = [] -labels = [] -for s in (10, 5): - handles.append(plt.Line2D([0],[0],color=line_colors['cur'], - linewidth=s*1e3/linewidth_factor)) - labels.append("/") -l1_2 = ax.legend(handles, labels, - loc="upper left", bbox_to_anchor=(0.26, 1.01), - frameon=False, - labelspacing=0.8, handletextpad=0.5, - title=' ') -ax.add_artist(l1_2) - -handles = make_legend_circles_for([10e3, 5e3, 1e3], scale=bus_size_factor, facecolor="w") -labels = ["{} GW".format(s) for s in (10, 5, 3)] -l2 = ax.legend(handles, labels, - loc="upper left", bbox_to_anchor=(0.01, 1.01), - frameon=False, labelspacing=1.0, - title='Generation', - handler_map=make_handler_map_to_scale_circles_as_in(ax)) -ax.add_artist(l2) - -techs = (bus_sizes.index.levels[1]) & pd.Index(opts['vre_techs'] + opts['conv_techs'] + opts['storage_techs']) -handles = [] -labels = [] -for t in techs: - handles.append(plt.Line2D([0], [0], color=tech_colors[t], marker='o', markersize=8, linewidth=0)) - labels.append(opts['nice_names'].get(t, t)) -l3 = ax.legend(handles, labels, loc="lower left", bbox_to_anchor=(0.6, -0.15), # bbox_to_anchor=(0.72, -0.05), - handletextpad=0., columnspacing=0.5, ncol=2, title='Technology') - - -for ext in snakemake.params.ext: - fig.savefig(snakemake.output.only_map+'.'+ext, dpi=150, - bbox_inches='tight', bbox_extra_artists=[l1,l2,l3]) - - -co2_emi = ((n.generators_t.p.multiply(n.snapshot_weightings,axis=0)).sum()/n.generators.efficiency * n.generators.carrier.map(n.carriers.co2_emissions)).sum() - -fig.text(0.2, 0.16, "CO$_2$ emissions: {} MtCO$_2$/a".format(int(np.round(co2_emi/1e6)))) - -#n = load_network(snakemake.input.network, opts, combine_hydro_ps=False) - -## Add total energy p - -ax1 = ax = fig.add_axes([-0.13, 0.555, 0.2, 0.2]) -ax.set_title('Energy per technology', fontdict=dict(fontsize="medium")) - -e_primary = aggregate_p(n).drop('load', errors='ignore').loc[lambda s: s>0] - -patches, texts, autotexts = ax.pie(e_primary, - startangle=90, - labels = e_primary.rename(opts['nice_names_n']).index, - autopct='%.0f%%', - shadow=False, - colors = [tech_colors[tech] for tech in e_primary.index]) -for t1, t2, i in zip(texts, autotexts, e_primary.index): - if e_primary.at[i] < 0.04 * e_primary.sum(): - t1.remove() - t2.remove() - elif i == 'Coal': - t2.set_color('gray') - -## Add average system cost bar plot -# ax2 = ax = fig.add_axes([-0.1, 0.2, 0.1, 0.33]) -# ax2 = ax = fig.add_axes([-0.1, 0.15, 0.1, 0.37]) -ax2 = ax = fig.add_axes([-0.1, 0.19, 0.15, 0.33]) -total_load = n.loads_t.p.sum().sum() - -def split_costs(n): - costs = aggregate_costs(n).reset_index(level=0, drop=True) - costs_ex = aggregate_costs(n, existing_only=True).reset_index(level=0, drop=True) - return (costs['capital'].add(costs['marginal'], fill_value=0.), - costs_ex['capital'], costs['capital'] - costs_ex['capital'], costs['marginal']) - -costs, costs_cap_ex, costs_cap_new, costs_marg = split_costs(n) -add_emission_prices(n, snakemake.config['costs']['emission_prices']) -costs_ep, costs_cap_ex_ep, costs_cap_new_ep, costs_marg_ep = split_costs(n) - -costs_graph = pd.DataFrame(dict(a=costs.drop('load', errors='ignore'), b=costs_ep.drop('load', errors='ignore')), - index=['AC-AC', 'AC line', 'Wind', 'PV', 'Nuclear', - 'Coal', 'OCGT', 'CCGT', 'CAES', 'Battery']).dropna() -bottom = np.array([0., 0.]) -texts = [] - -for i,ind in enumerate(costs_graph.index): - data = np.asarray(costs_graph.loc[ind])/total_load - ax.bar([0.1, 0.55], data, bottom=bottom, color=tech_colors[ind], width=0.35, zorder=-1) - bottom_sub = bottom - bottom = bottom+data - - if ind in opts['conv_techs'] + ['AC line']: - for c, c_ep, h in [(costs_cap_ex, costs_cap_ex_ep, None), - (costs_cap_new, costs_cap_new_ep, 'xxxx'), - (costs_marg, costs_marg_ep, None)]: - if ind in c and ind in c_ep: - data_sub = np.asarray([c.loc[ind], c_ep.loc[ind]])/total_load - ax.bar([0.1, 0.55], data_sub, linewidth=0, - bottom=bottom_sub, color=tech_colors[ind], - width=0.35, zorder=-1, hatch=h, alpha=0.8) - bottom_sub += data_sub - - if abs(data[-1]) < 30: - continue - - text = ax.text(1.1,(bottom-0.5*data)[-1]-15,opts['nice_names'].get(ind,ind)) - texts.append(text) - -ax.set_ylabel("Average system cost [R/MWh]") -ax.set_ylim([0,opts['costs_max']]) -ax.set_xlim([0,1]) -ax.set_xticks([0.3, 0.7]) -ax.set_xticklabels(["w/o\nEp", "w/\nEp"]) -ax.grid(True, axis="y", color='k', linestyle='dotted') - -#fig.tight_layout() - - -for ext in snakemake.params.ext: - fig.savefig(snakemake.output.ext + '.' + ext, transparent=True, - bbox_inches='tight', bbox_extra_artists=[l1, l2, l3, ax1, ax2]) - - -# if False: -# filename = "total-pie-{}".format(key).replace(".","-")+".pdf" -# print("Saved to {}".format(filename)) -# fig.savefig(filename,transparent=True,bbox_inches='tight',bbox_extra_artists=texts) - -# #ax.set_title('Expansion to 1.25 x today\'s line volume at 256 clusters')f True or 'snakemake' not in globals(): - diff --git a/scripts/prepare_and_solve_network.py b/scripts/prepare_and_solve_network.py new file mode 100644 index 0000000..88d9d53 --- /dev/null +++ b/scripts/prepare_and_solve_network.py @@ -0,0 +1,423 @@ +# SPDX-FileCopyrightText: PyPSA-ZA2, PyPSA-ZA, PyPSA-Earth and PyPSA-Eur Authors +# # SPDX-License-Identifier: MIT +# coding: utf-8 +""" +Prepare PyPSA network for solving according to :ref:`opts` and :ref:`ll`, such as + +- adding an annual **limit** of carbon-dioxide emissions, +- adding an exogenous **price** per tonne emissions of carbon-dioxide (or other kinds), +- setting an **N-1 security margin** factor for transmission line capacities, +- specifying an expansion limit on the **cost** of transmission expansion, +- specifying an expansion limit on the **volume** of transmission expansion, and +- reducing the **temporal** resolution by averaging over multiple hours + or segmenting time series into chunks of varying lengths using ``tsam``. + +Relevant Settings +----------------- + +.. code:: yaml + + costs: + emission_prices: + USD2013_to_EUR2013: + discountrate: + marginal_cost: + capital_cost: + + electricity: + co2limit: + max_hours: + +.. seealso:: + Documentation of the configuration file ``config.yaml`` at + :ref:`costs_cf`, :ref:`electricity_cf` + +Inputs +------ + +- ``data/costs.csv``: The database of cost assumptions for all included technologies for specific years from various sources; e.g. discount rate, lifetime, investment (CAPEX), fixed operation and maintenance (FOM), variable operation and maintenance (VOM), fuel costs, efficiency, carbon-dioxide intensity. +- ``networks/elec_s{simpl}_{clusters}.nc``: confer :ref:`cluster` + +Outputs +------- + +- ``networks/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}.nc``: Complete PyPSA network that will be handed to the ``solve_network`` rule. + +Description +----------- + +.. tip:: + The rule :mod:`prepare_all_networks` runs + for all ``scenario`` s in the configuration file + the rule :mod:`prepare_network`. + +""" +import logging +import re + +import numpy as np +import pandas as pd +import pypsa +# from pypsa.linopt import get_var, write_objective, define_constraints, linexpr +from pypsa.descriptors import get_switchable_as_dense as get_as_dense, expand_series +from pypsa.optimization.common import reindex + +from _helpers import configure_logging, remove_leap_day, normalize_and_rename_df, assign_segmented_df_to_network, load_scenario_definition +from add_electricity import load_extendable_parameters#, update_transmission_costs +from concurrent.futures import ProcessPoolExecutor +import xarray as xr +import warnings +warnings.simplefilter(action='ignore', category=FutureWarning) # Comment out for debugging and development +from custom_constraints import set_operational_limits, ccgt_steam_constraints, reserve_margin_constraints, annual_co2_constraints +idx = pd.IndexSlice +import os + +""" +******************************************************************************** + Build limit constraints +******************************************************************************** +""" +def set_extendable_limits_global(n): + + ext_years = n.investment_periods if n.multi_invest else [n.snapshots[0].year] + sense = {"max": "<=", "min": ">="} + ignore = {"max": "unc", "min": 0} + + # Initialize an empty dictionary for global limits + global_limits = {} + + # Iterate over possible limits and try to read them from the Excel file + for lim in ["max", "min"]: + try: + global_limit = pd.read_excel( + os.path.join(scenario_setup["sub_path"], "extendable_technologies.xlsx"), + sheet_name=f'{lim}_total_installed', + index_col=[0, 1, 3, 2, 4], + ).loc[(scenario_setup[f"extendable_{lim}_total"], "global", slice(None), slice(None)), ext_years] + # If successfully read, add to the global_limits dictionary + global_limits[lim] = global_limit + except Exception: + logging.warning(f"No global {lim} limit found in model file. Skipping.") + + # Now global_limits only contains keys for successfully read sheets + for lim, global_limit in global_limits.items(): + global_limit.index = global_limit.index.droplevel([0, 1, 2, 3]) + global_limit = global_limit.loc[~(global_limit == ignore[lim]).all(axis=1)] + constraints = [ + { + "name": f"global_{lim}-{carrier}-{y}", + "carrier_attribute": carrier, + "sense": sense[lim], + "type": "tech_capacity_expansion_limit", + **({"investment_period": y} if n.multi_invest else {}), + "constant": global_limit.loc[carrier, y], + } + for carrier in global_limit.index + for y in ext_years + if global_limit.loc[carrier, y] != ignore[lim] + ] + + for constraint in constraints: + n.add("GlobalConstraint", **constraint) + + +def set_extendable_limits_per_bus(n): + ext_years = n.investment_periods if n.multi_invest else [n.snapshots[0].year] + ignore = {"max": "unc", "min": 0} + + bus_limits = { + lim: pd.read_excel( + os.path.join(scenario_setup["sub_path"], "extendable_technologies.xlsx"), + sheet_name=f'{lim}_total_installed', + index_col=[0, 1, 3, 2, 4], + ).loc[(scenario_setup[f"extendable_{lim}_total"], scenario_setup["regions"], slice(None)), ext_years] + for lim in ["max", "min"] + } + + ext_carriers = ( + list(n.generators.carrier[n.generators.p_nom_extendable].unique()) + + list(n.storage_units.carrier[n.storage_units.p_nom_extendable].unique()) + ) + for lim, bus_limit in bus_limits.items(): + bus_limit.index = bus_limit.index.droplevel([0, 1, 2]) + bus_limit = bus_limit.loc[~(bus_limit == ignore[lim]).all(axis=1)] + bus_limit = bus_limit.loc[bus_limit.index.get_level_values(1).isin(ext_carriers)] + + for idx in bus_limit.index: + for y in ext_years: + if bus_limit.loc[idx, y] != ignore[lim]: + n.buses.loc[idx[0],f"nom_{lim}_{idx[1]}_{y}"] = bus_limit.loc[idx, y] + + +""" +******************************************************************************** + Emissions limits and pricing +******************************************************************************** +""" + + +def add_emission_prices(n, emission_prices=None, exclude_co2=False): + if emission_prices is None: + emission_prices = snakemake.config["costs"]["emission_prices"] + if exclude_co2: emission_prices.pop("co2") + ep = (pd.Series(emission_prices).rename(lambda x: x+"_emissions") * n.carriers).sum(axis=1) + n.generators["marginal_cost"] += n.generators.carrier.map(ep) + n.storage_units["marginal_cost"] += n.storage_units.carrier.map(ep) + +# """ +# ******************************************************************************** +# Transmission constraints +# ******************************************************************************** +# """ + +# def set_line_s_max_pu(n): +# s_max_pu = snakemake.config["lines"]["s_max_pu"] +# n.lines["s_max_pu"] = s_max_pu +# logger.info(f"N-1 security margin of lines set to {s_max_pu}") + + +# def set_transmission_limit(n, ll_type, factor, costs, Nyears=1): +# links_dc_b = n.links.carrier == "DC" if not n.links.empty else pd.Series() + +# _lines_s_nom = ( +# np.sqrt(3) +# * n.lines.type.map(n.line_types.i_nom) +# * n.lines.num_parallel +# * n.lines.bus0.map(n.buses.v_nom) +# ) +# lines_s_nom = n.lines.s_nom.where(n.lines.type == "", _lines_s_nom) + +# col = "capital_cost" if ll_type == "c" else "length" +# ref = ( +# lines_s_nom @ n.lines[col] +# + n.links.loc[links_dc_b, "p_nom"] @ n.links.loc[links_dc_b, col] +# ) + +# update_transmission_costs(n, costs) + +# if factor == "opt" or float(factor) > 1.0: +# n.lines["s_nom_min"] = lines_s_nom +# n.lines["s_nom_extendable"] = True + +# n.links.loc[links_dc_b, "p_nom_min"] = n.links.loc[links_dc_b, "p_nom"] +# n.links.loc[links_dc_b, "p_nom_extendable"] = True + +# if factor != "opt": +# con_type = "expansion_cost" if ll_type == "c" else "volume_expansion" +# rhs = float(factor) * ref +# n.add( +# "GlobalConstraint", +# f"l{ll_type}_limit", +# type=f"transmission_{con_type}_limit", +# sense="<=", +# constant=rhs, +# carrier_attribute="AC, DC", +# ) +# return n + +# def set_line_nom_max(n, s_nom_max_set=np.inf, p_nom_max_set=np.inf): +# n.lines.s_nom_max.clip(upper=s_nom_max_set, inplace=True) +# n.links.p_nom_max.clip(upper=p_nom_max_set, inplace=True) + +""" +******************************************************************************** + Time step reduction +******************************************************************************** +""" + +def average_every_nhours(n, offset): + logging.info(f"Resampling the network to {offset}") + m = n.copy()#with_time=False) + snapshots_unstacked = n.snapshots.get_level_values(1) + + snapshot_weightings = n.snapshot_weightings.copy().set_index(snapshots_unstacked).resample(offset).sum() + snapshot_weightings = remove_leap_day(snapshot_weightings) + snapshot_weightings=snapshot_weightings[snapshot_weightings.index.year.isin(n.investment_periods)] + snapshot_weightings.index = pd.MultiIndex.from_arrays([snapshot_weightings.index.year, snapshot_weightings.index]) + m.set_snapshots(snapshot_weightings.index) + m.snapshot_weightings = snapshot_weightings + + for c in n.iterate_components(): + pnl = getattr(m, c.list_name + "_t") + for k, df in c.pnl.items(): + if not df.empty: + resampled = df.set_index(snapshots_unstacked).resample(offset).mean() + resampled = remove_leap_day(resampled) + resampled=resampled[resampled.index.year.isin(n.investment_periods)] + resampled.index = snapshot_weightings.index + pnl[k] = resampled + return m + +def single_year_segmentation(n, snapshots, segments, config): + + p_max_pu, p_max_pu_max = normalize_and_rename_df(n.generators_t.p_max_pu, snapshots, 1, 'max') + load, load_max = normalize_and_rename_df(n.loads_t.p_set, snapshots, 1, "load") + inflow, inflow_max = normalize_and_rename_df(n.storage_units_t.inflow, snapshots, 0, "inflow") + + raw = pd.concat([p_max_pu, load, inflow], axis=1, sort=False) + + multi_index = False + if isinstance(raw.index, pd.MultiIndex): + multi_index = True + raw.index = raw.index.droplevel(0) + + y = snapshots.get_level_values(0)[0] if multi_index else snapshots[0].year + + agg = tsam.TimeSeriesAggregation( + raw, + hoursPerPeriod=len(raw), + noTypicalPeriods=1, + noSegments=int(segments), + segmentation=True, + solver=config['solver'], + ) + + segmented_df = agg.createTypicalPeriods() + weightings = segmented_df.index.get_level_values("Segment Duration") + cumsum = np.cumsum(weightings[:-1]) + + if np.floor(y/4)-y/4 == 0: # check if leap year and add Feb 29 + cumsum = np.where(cumsum >= 1416, cumsum + 24, cumsum) # 1416h from start year to Feb 29 + + offsets = np.insert(cumsum, 0, 0) + start_snapshot = snapshots[0][1] if n.multi_invest else snapshots[0] + snapshots = pd.DatetimeIndex([start_snapshot + pd.Timedelta(hours=offset) for offset in offsets]) + snapshots = pd.MultiIndex.from_arrays([snapshots.year, snapshots]) if multi_index else snapshots + weightings = pd.Series(weightings, index=snapshots, name="weightings", dtype="float64") + segmented_df.index = snapshots + + segmented_df[p_max_pu.columns] *= p_max_pu_max + segmented_df[load.columns] *= load_max + segmented_df[inflow.columns] *= inflow_max + + logging.info(f"Segmentation complete for period: {y}") + + return segmented_df, weightings + +def apply_time_segmentation(n, segments, config): + logging.info(f"Aggregating time series to {segments} segments.") + years = n.investment_periods if n.multi_invest else [n.snapshots[0].year] + + if len(years) == 1: + segmented_df, weightings = single_year_segmentation(n, n.snapshots, segments, config) + else: + + with ProcessPoolExecutor(max_workers = min(len(years),config['nprocesses'])) as executor: + parallel_seg = { + year: executor.submit( + single_year_segmentation, + n, + n.snapshots[n.snapshots.get_level_values(0) == year], + segments, + config + ) + for year in years + } + + segmented_df = pd.concat( + [parallel_seg[year].result()[0] for year in parallel_seg], axis=0 + ) + weightings = pd.concat( + [parallel_seg[year].result()[1] for year in parallel_seg], axis=0 + ) + + n.set_snapshots(segmented_df.index) + n.snapshot_weightings = weightings + + assign_segmented_df_to_network(segmented_df, "_load", "", n.loads_t.p_set) + assign_segmented_df_to_network(segmented_df, "_max", "", n.generators_t.p_max_pu) + assign_segmented_df_to_network(segmented_df, "_min", "", n.generators_t.p_min_pu) + assign_segmented_df_to_network(segmented_df, "_inflow", "", n.storage_units_t.inflow) + + return n + +def calc_emissions(n, scenario_setup): + + carrier_emissions = pd.read_excel( + os.path.join(scenario_setup["sub_path"], "extendable_technologies.xlsx"), + sheet_name = "parameters", + index_col = [0,2,1], + ).sort_index().loc["default", "co2_emissions"].drop(["unit","source"], axis=1) + gens = n.generators.query("carrier in @carrier_emissions.index").index + efficiency = n.generators.loc[gens, "efficiency"] + + co2_emissions = pd.DataFrame(index=gens, columns = n.investment_periods) + + energy = n.generators_t.p[gens].groupby(level=0).sum() + + for y in n.investment_periods: + for gen in gens: + co2_emissions.loc[gen, y] = energy.loc[y, gen] * carrier_emissions.loc[n.generators.carrier[gen], y] / efficiency[gen] + + return co2_emissions.sum()/1e6 + +def calc_cumulative_new_capacity(n): + carriers = list(n.generators.carrier.unique())+list(n.storage_units.carrier.unique()) + new_capacity = pd.DataFrame(index=carriers, columns = [2024]+list(n.investment_periods)) + for period in [2024]+list(n.investment_periods): + for carrier in n.generators.carrier.unique(): + new_capacity.loc[carrier,period] = n.generators.p_nom_opt[(n.generators.carrier==carrier) & (n.generators.build_year<=period)].sum() + for carrier in n.storage_units.carrier.unique(): + new_capacity.loc[carrier,period] = n.storage_units.p_nom_opt[(n.storage_units.carrier==carrier) & (n.storage_units.build_year<=period)].sum() + return new_capacity + +def solve_network(n, sns): + + n.optimize.create_model(snapshots = sns, multi_investment_periods = n.multi_invest) + # Custom constraints + set_operational_limits(n, sns, scenario_setup) + ccgt_steam_constraints(n, sns, snakemake) + reserve_margin_constraints(n, sns, scenario_setup, snakemake) + + param = load_extendable_parameters(n, scenario_setup, snakemake) + annual_co2_constraints(n, sns, param, scenario_setup) + solver_name = snakemake.config["solving"]["solver"].pop("name") + solver_options = snakemake.config["solving"]["solver"].copy() + n.optimize.solve_model(solver_name=solver_name, solver_options=solver_options) + +if __name__ == "__main__": + if 'snakemake' not in globals(): + from _helpers import mock_snakemake + snakemake = mock_snakemake( + 'prepare_and_solve_network', + **{ + 'scenario':'IRP_REF_CI', + } + ) + logging.info("Preparing costs") + + n = pypsa.Network(snakemake.input[0]) + scenario_setup = load_scenario_definition(snakemake) + + opts = scenario_setup["options"].split("-") + for o in opts: + m = re.match(r"^\d+h$", o, re.IGNORECASE) + if m is not None: + n = average_every_nhours(n, m[0]) + break + + for o in opts: + m = re.match(r"^\d+SEG$", o, re.IGNORECASE) + if m is not None: + try: + import tsam.timeseriesaggregation as tsam + except: + raise ModuleNotFoundError( + "Optional dependency 'tsam' not found." "Install via 'pip install tsam'" + ) + n = apply_time_segmentation(n, m[0][:-3], snakemake.config["tsam_clustering"]) + break + + logging.info("Setting global and regional build limits") + if len(n.buses) != 1: #covered under single bus limits + set_extendable_limits_global(n) + set_extendable_limits_per_bus(n) + + logging.info("Solving network") + solve_network(n, n.snapshots) + + n.export_to_netcdf(snakemake.output[0]) + n.statistics().to_csv(snakemake.output[1]) + calc_emissions(n, scenario_setup).to_csv(snakemake.output[2]) + #calc_cumulative_new_capacity(n).to_csv(snakemake.output[3]) + diff --git a/scripts/scenario_comparison.py b/scripts/scenario_comparison.py deleted file mode 100644 index 24dcd53..0000000 --- a/scripts/scenario_comparison.py +++ /dev/null @@ -1,50 +0,0 @@ -import os -from itertools import product -from snakemake.utils import report -from snakemake.report import data_uri -from textwrap import dedent - -param = snakemake.wildcards.param -plot_dir = snakemake.params.plot_dir - -text = dedent(''' - =========================== - Comparison of param {param} - =========================== - - .. contents:: Table of Contents - - ''').format(param=param) - -scenarios = snakemake.config['scenario'].copy() -param_values = scenarios.pop(snakemake.wildcards.param) -scenarios['attr'] = ['p_nom'] -tmpl = snakemake.params.tmpl.replace('[', '{').replace(']', '}') - -links = {} -for vals in product(*scenarios.values()): - sc = dict(zip(scenarios.keys(), vals)) - headline = ", ".join("{}={}".format(k,v) for k, v in sc.items()) - text += headline + "\n" + '-' * len(headline) + "\n\n" - for p in param_values: - sc[param] = p - fn = tmpl.format(**sc) - #links[fn] = [os.path.join(plot_dir, fn + '.pdf')] - text += dedent(''' - .. figure:: {data} - :scale: 50 % - - {param} = {value} - - ''').format(param=param, value=p, link=fn, - data=data_uri(os.path.join(plot_dir, fn + '.png'))) - -# text += dedent(''' - -# Attachments -# ----------- -# ''') - -# text += '{} = {}: {}_\n\n.. image:: {}\n\n'.format(wildcards.param, p, fn, data_uri('results/plots/' + fn + '.png')) - -report(text=text, path=snakemake.output.html, stylesheet='report.css', **links) diff --git a/scripts/solve_network.py b/scripts/solve_network.py deleted file mode 100644 index cda49d1..0000000 --- a/scripts/solve_network.py +++ /dev/null @@ -1,222 +0,0 @@ -import numpy as np -import pandas as pd - -import logging -logging.basicConfig(filename=snakemake.log.python, level=logging.INFO) - -import pypsa - -if 'tmpdir' in snakemake.config['solving']: - # PYOMO should write its lp files into tmp here - tmpdir = snakemake.config['solving']['tmpdir'] - import os - if not os.path.isdir(tmpdir): - os.mkdir(tmpdir) - from pyutilib.services import TempfileManager - TempfileManager.tempdir = tmpdir - -def prepare_network(n): - solve_opts = snakemake.config['solving']['options'] - if 'clip_p_max_pu' in solve_opts: - for df in (n.generators_t.p_max_pu, n.storage_units_t.inflow): - df.where(df>solve_opts['clip_p_max_pu'], other=0., inplace=True) - - if solve_opts.get('load_shedding'): - n.add("Carrier", "Load") - load_i = n.madd("Generator", n.buses.index, suffix=" Load", - bus=n.buses.index, - carrier='load', - marginal_cost=1.0e5 * snakemake.config['costs']['EUR_to_ZAR'], - # intersect between macroeconomic and surveybased - # willingness to pay - # http://journal.frontiersin.org/article/10.3389/fenrg.2015.00055/full - p_nom=1e6) - - if 'SAFE' in snakemake.wildcards.opts.split('-'): - # there must be no load shedding in the extra hour introduced in the SAFE scenario - load_p_max_pu = pd.DataFrame(1., index=n.snapshots, columns=load_i) - load_p_max_pu.iloc[-1, :] = 0. - - n.generators_t.p_max_pu = pd.concat([n.generators_t.p_max_pu, load_p_max_pu], axis=1) - - if solve_opts.get('noisy_costs'): - for t in n.iterate_components(): - #if 'capital_cost' in t.df: - # t.df['capital_cost'] += 1e1 + 2.*(np.random.random(len(t.df)) - 0.5) - if 'marginal_cost' in t.df: - t.df['marginal_cost'] += 1e-2 + 2e-3*(np.random.random(len(t.df)) - 0.5) - - if solve_opts.get('nhours'): - nhours = solve_opts['nhours'] - n = n[:solve_opts['nhours'], :] - n.snapshot_weightings[:] = 8760./nhours - - return n - -def solve_network(n): - def add_opts_constraints(n): - opts = snakemake.wildcards.opts.split('-') - - if 'BAU' in opts: - mincaps = snakemake.config['electricity']['BAU_mincapacities'] - def bau_mincapacities_rule(model, carrier): - gens = n.generators.index[n.generators.p_nom_extendable & (n.generators.carrier == carrier)] - return sum(model.generator_p_nom[gen] for gen in gens) >= mincaps[carrier] - n.model.bau_mincapacities = pypsa.opt.Constraint(list(mincaps), rule=bau_mincapacities_rule) - - def fix_lines(n, lines_i=None, links_i=None): # , fix=True): - if lines_i is not None and len(lines_i) > 0: - s_nom = n.lines.s_nom.where( - n.lines.type == '', - np.sqrt(3) * n.lines.type.map(n.line_types.i_nom) * n.lines.bus0.map(n.buses.v_nom) * n.lines.num_parallel - ) - for l in lines_i: - n.model.passive_branch_s_nom["Line", l].fix(s_nom.at[l]) - # n.model.passive_branch_s_nom[l].fixed = fix - if isinstance(n.opt, pypsa.opf.PersistentSolver): - n.opt.update_var(n.model.passive_branch_s_nom) - - if links_i is not None and len(links_i) > 0: - for l in links_i: - n.model.link_p_nom[l].fix(n.links.at[l, 'p_nom']) - # n.model.link_p_nom[l].fixed = fix - if isinstance(n.opt, pypsa.opf.PersistentSolver): - n.opt.update_var(n.model.link_p_nom) - - solve_opts = snakemake.config['solving']['options'] - - solver_options = snakemake.config['solving']['solver'].copy() - solver_options['logfile'] = snakemake.log.gurobi - solver_name = solver_options.pop('name') - - def run_lopf(n, allow_warning_status=False, fix_zero_lines=False): - if not hasattr(n, 'opt') or not isinstance(n.opt, pypsa.opf.PersistentSolver): - pypsa.opf.network_lopf_build_model(n, formulation=solve_opts['formulation']) - add_opts_constraints(n) - - pypsa.opf.network_lopf_prepare_solver(n, solver_name=solver_name) - - if fix_zero_lines: - fix_lines_b = (n.lines.s_nom_opt == 0.) & n.lines.s_nom_extendable - n.lines.loc[fix_lines_b & (n.lines.type == ''), 's_nom'] = 0. - n.lines.loc[fix_lines_b & (n.lines.type != ''), 'num_parallel'] = 0. - - fix_links_b = (n.links.p_nom_opt == 0.) & n.links.p_nom_extendable - n.links.loc[fix_links_b, 'p_nom'] = 0. - - # WARNING: We are not unfixing these later - fix_lines(n, lines_i=n.lines.index[fix_lines_b], links_i=n.links.index[fix_links_b]) - - status, termination_condition = \ - pypsa.opf.network_lopf_solve(n, - solver_options=solver_options, - formulation=solve_opts['formulation']) - - assert status == "ok" or allow_warning_status and status == 'warning', \ - ("network_lopf did abort with status={} " - "and termination_condition={}" - .format(status, termination_condition)) - - return status, termination_condition - - lines_ext_b = n.lines.s_nom_extendable - if lines_ext_b.any(): - # puh: ok, we need to iterate, since there is a relation - # between s/p_nom and r, x for branches. - msq_threshold = 0.01 - lines = pd.DataFrame(n.lines[['r', 'x', 'type', 'num_parallel']]) - - lines['s_nom'] = ( - np.sqrt(3) * n.lines['type'].map(n.line_types.i_nom) * n.lines.bus0.map(n.buses.v_nom) * n.lines.num_parallel - ).where(n.lines.type != '', n.lines['s_nom']) - - lines_ext_typed_b = (n.lines.type != '') & lines_ext_b - lines_ext_untyped_b = (n.lines.type == '') & lines_ext_b - - def update_line_parameters(n, zero_lines_below=10, fix_zero_lines=False): - if zero_lines_below > 0: - n.lines.loc[n.lines.s_nom_opt < zero_lines_below, 's_nom_opt'] = 0. - n.links.loc[n.links.p_nom_opt < zero_lines_below, 'p_nom_opt'] = 0. - - if lines_ext_untyped_b.any(): - for attr in ('r', 'x'): - n.lines.loc[lines_ext_untyped_b, attr] = ( - lines[attr].multiply(lines['s_nom']/n.lines['s_nom_opt']) - ) - - if lines_ext_typed_b.any(): - n.lines.loc[lines_ext_typed_b, 'num_parallel'] = ( - lines['num_parallel'].multiply(n.lines['s_nom_opt']/lines['s_nom']) - ) - logger.debug("lines.num_parallel={}".format(n.lines.loc[lines_ext_typed_b, 'num_parallel'])) - - if isinstance(n.opt, pypsa.opf.PersistentSolver): - n.calculate_dependent_values() - - assert solve_opts['formulation'] == 'kirchhoff', \ - "Updating persistent solvers has only been implemented for the kirchhoff formulation for now" - - n.opt.remove_constraint(n.model.cycle_constraints) - del n.model.cycle_constraints_index - del n.model.cycle_constraints_index_0 - del n.model.cycle_constraints_index_1 - del n.model.cycle_constraints - - pypsa.opf.define_passive_branch_flows_with_kirchhoff(n, n.snapshots, skip_vars=True) - n.opt.add_constraint(n.model.cycle_constraints) - - iteration = 1 - - lines['s_nom_opt'] = lines['s_nom'] - status, termination_condition = run_lopf(n, allow_warning_status=True) - - def msq_diff(n): - lines_err = np.sqrt(((n.lines['s_nom_opt'] - lines['s_nom_opt'])**2).mean())/lines['s_nom_opt'].mean() - logger.info("Mean square difference after iteration {} is {}".format(iteration, lines_err)) - return lines_err - - min_iterations = solve_opts.get('min_iterations', 2) - max_iterations = solve_opts.get('max_iterations', 999) - while msq_diff(n) > msq_threshold or iteration < min_iterations: - if iteration >= max_iterations: - logger.info("Iteration {} beyond max_iterations {}. Stopping ...".format(iteration, max_iterations)) - break - - update_line_parameters(n) - lines['s_nom_opt'] = n.lines['s_nom_opt'] - iteration += 1 - - # Not really needed, could also be taken out - n.export_to_netcdf(snakemake.output[0]) - - status, termination_condition = run_lopf(n, allow_warning_status=True) - - update_line_parameters(n, zero_lines_below=500) - - status, termination_condition = run_lopf(n, fix_zero_lines=True, allow_warning_status=True) - - # Drop zero lines from network - zero_lines_i = n.lines.index[(n.lines.s_nom_opt == 0.) & n.lines.s_nom_extendable] - if len(zero_lines_i): - n.mremove("Line", zero_lines_i) - zero_links_i = n.links.index[(n.links.p_nom_opt == 0.) & n.links.p_nom_extendable] - if len(zero_links_i): - n.mremove("Link", zero_links_i) - - if status != 'ok': - # save a backup - backup_fn = snakemake.output[0][:-3] + "_suboptimal.h5" - n.export_to_netcdf(backup_fn) - logger.error("Last solving step returned with status '{}': Aborting. A backup is at {}." - .format(status, backup_fn)) - raise AssertionError() - - return n - -if __name__ == "__main__": - n = pypsa.Network(snakemake.input[0]) - - n = prepare_network(n) - n = solve_network(n) - - n.export_to_netcdf(snakemake.output[0]) diff --git a/scripts/solve_network_dispatch.py b/scripts/solve_network_dispatch.py new file mode 100644 index 0000000..eff13e9 --- /dev/null +++ b/scripts/solve_network_dispatch.py @@ -0,0 +1,234 @@ +# -*- coding: utf-8 -*- +# SPDX-FileCopyrightText: : 2017-2023 The PyPSA-Eur Authors +# +# SPDX-License-Identifier: MIT +""" +Solves linear optimal dispatch in hourly resolution using the capacities of +previous capacity expansion in rule :mod:`solve_network`. +""" + + +import logging +import pandas as pd +import numpy as np +import pypsa +from xarray import DataArray +#from _helpers import configure_logging, update_config_with_sector_opts +#from solve_network import prepare_network, solve_network +from pypsa.descriptors import get_switchable_as_dense as get_as_dense, get_activity_mask + +logger = logging.getLogger(__name__) + +from _helpers import ( + _add_missing_carriers_from_costs, + convert_cost_units, + load_disaggregate, + map_component_parameters, + read_and_filter_generators, + remove_leap_day, + drop_non_pypsa_attrs, + normed, + get_start_year, + get_snapshots, + get_investment_periods, + adjust_by_p_max_pu, + apply_default_attr +) + +from prepare_and_solve_network import ( + set_operational_limits, + ccgt_steam_constraints, + rmippp_constraints, +) + +def get_min_stable_level(n, model_file, model_setup, existing_carriers, extended_carriers): + + existing_param = pd.read_excel( + model_file, + sheet_name="fixed_conventional", + na_values=["-"], + index_col=[0,1] + ).loc[model_setup["fixed_conventional"]] + + existing_gens = n.generators.query("carrier in @existing_carriers & p_nom_extendable == False").index + existing_msl= existing_param.loc[existing_gens, "Min Stable Level (%)"].rename("p_min_pu") + + extended_param = pd.read_excel( + model_file, + sheet_name = "extendable_parameters", + index_col = [0,2,1], + ).sort_index().loc[model_setup["extendable_parameters"]] + + extended_gens = n.generators.query("carrier in @extended_carriers & p_nom_extendable").index + extended_msl = pd.Series(index=extended_gens, name = "p_min_pu") + for g in extended_gens: + carrier = g.split("-")[1] + y = int(g.split("-")[2]) + if y in extended_param.columns: + extended_msl[g] = extended_param.loc[("min_stable_level", carrier), y].astype(float) + else: + interp_data = extended_param.loc[("min_stable_level", carrier), :].drop(["unit", "source"]).astype(float) + interp_data = interp_data.append(pd.Series(index=[y], data=[np.nan])).interpolate() + extended_msl[g] = interp_data.loc[y] + + return existing_msl, extended_msl + + +def set_max_status(n, sns, p_max_pu): + + # init period = 100h to let model stabilise status + if sns[0] == n.snapshots[0]: + init_periods=100 + n.generators_t.p_max_pu.loc[ + sns[:init_periods], p_max_pu.columns + ] = p_max_pu.loc[sns[:init_periods], :].values + + n.generators_t.p_min_pu.loc[:,p_max_pu.columns] = get_as_dense(n, "Generator", "p_min_pu").loc[:,p_max_pu.columns] + n.generators_t.p_min_pu.loc[ + sns[:init_periods], p_max_pu.columns + ] = 0 + sns = sns[init_periods:] + + active = get_activity_mask(n, "Generator", sns, p_max_pu.columns) + active.rename_axis("Generator-com", axis = 1, inplace = True) + p_max_pu = p_max_pu.loc[sns, active.any(axis=0)] + p_max_pu = p_max_pu.loc[sns, (p_max_pu != 1).any(axis=0)] + + status = n.model.variables["Generator-status"].sel({"Generator-com":p_max_pu.columns}) + lhs = status.sel(snapshot=sns) + if p_max_pu.columns.name != "Generator-com": + p_max_pu.columns.name = "Generator-com" + rhs = DataArray(p_max_pu) + + n.model.add_constraints(lhs, "<=", rhs, name="max_status") + +def set_upper_combined_status_bus(n, sns, p_max_pu): + + active = get_activity_mask(n, "Generator", sns, p_max_pu.columns) + active.rename_axis("Generator-com", axis = 1, inplace = True) + p_max_pu = p_max_pu.loc[sns, active.any(axis=0)] + p_max_pu = p_max_pu.loc[:, (p_max_pu != 1).any(axis=0)] + + for bus_i in n.buses.index: + bus_gens = n.generators.query("bus == @bus_i").index.intersection(p_max_pu.columns) + if len(bus_gens) >= 0: + p_nom = n.generators.loc[bus_gens, "p_nom"] + p_nom.name = "Generator-com" + status = n.model.variables["Generator-status"].sel({"snapshot":sns, "Generator-com":bus_gens}) + + p_nom_df = pd.DataFrame(index = sns, columns = p_nom.index) + p_nom_df.loc[:] = p_nom.values + p_nom_df.rename_axis("Generator-com", axis = 1, inplace = True) + + active.columns.name = "Generator-com" + lhs = (DataArray(p_nom_df) * status).sum("Generator-com") + rhs = (p_nom * p_max_pu[bus_gens]).sum(axis=1) + + n.model.add_constraints(lhs, "<=", rhs, name=f"{bus_i}-max_status") + + +def set_upper_avg_status_over_sns(n, sns, p_max_pu): + + active = get_activity_mask(n, "Generator", sns, p_max_pu.columns) + active.rename_axis("Generator-com", axis = 1, inplace = True) + p_max_pu = p_max_pu.loc[sns, active.any(axis=0)] + p_max_pu = p_max_pu.loc[:, (p_max_pu != 1).any(axis=0)] + + weightings = pd.DataFrame(index = sns, columns = p_max_pu.columns) + weight_values = n.snapshot_weightings.generators.loc[sns].values.reshape(-1, 1) + weightings.loc[:] = weight_values + weightings.rename_axis("Generator-com", axis = 1, inplace = True) + + status = n.model.variables["Generator-status"].sel({"Generator-com":p_max_pu.columns, "snapshot":sns}) + lhs = (status * weightings).sum("snapshot") + if p_max_pu.columns.name != "Generator-com": + p_max_pu.columns.name = "Generator-com" + rhs = (weightings * p_max_pu).sum() + + n.model.add_constraints(lhs, "<=", rhs, name="upper_avg_status_sns") + +def set_max_status4(n, sns, p_max_pu): + + # init period = 100h to let model stabilise status + # if sns[0] == n.snapshots[0]: + # init_periods=100 + # n.generators_t.p_max_pu.loc[ + # sns[:init_periods], p_max_pu.columns + # ] = p_max_pu.loc[sns[:init_periods], :].values + + # n.generators_t.p_min_pu.loc[:,p_max_pu.columns] = get_as_dense(n, "Generator", "p_min_pu").loc[:,p_max_pu.columns] + # n.generators_t.p_min_pu.loc[ + # sns[:init_periods], p_max_pu.columns + # ] = 0 + # sns = sns[init_periods:] + + active = get_activity_mask(n, "Generator", sns, p_max_pu.columns) + p_max_pu = p_max_pu.loc[sns, active.any(axis=0)] + + active.columns.name = "Generator-com" + status = n.model.variables["Generator-status"].sel({"Generator-com":p_max_pu.columns}) + lhs = status.sel(snapshot=sns).groupby("snapshot.week").sum() + if p_max_pu.columns.name != "Generator-com": + p_max_pu.columns.name = "Generator-com" + rhs = p_max_pu.groupby(p_max_pu.index.isocalendar().week).sum() + + n.model.add_constraints(lhs, "<=", rhs, name="max_status") + +def set_existing_committable(n, sns, model_file, model_setup, config): + + existing_carriers = config['existing'] + existing_gen = n.generators.query("carrier in @existing_carriers & p_nom_extendable == False").index.to_list() + + extended_carriers = config['extended'] + extended_gen = n.generators.query("carrier in @extended_carriers & p_nom_extendable").index.to_list() + + n.generators.loc[existing_gen + extended_gen, "committable"] = True + + p_max_pu = get_as_dense(n, "Generator", "p_max_pu", sns)[existing_gen + extended_gen].copy() + n.generators_t.p_max_pu.loc[:, existing_gen + extended_gen] = 1 + n.generators.loc[existing_gen + extended_gen, "p_max_pu"] = 1 + + existing_msl, extended_msl = get_min_stable_level(n, model_file, model_setup, existing_carriers, extended_carriers) + + n.generators.loc[existing_gen, "p_min_pu"] = existing_msl + n.generators.loc[extended_gen, "p_min_pu"] = extended_msl + + return p_max_pu + +if __name__ == "__main__": + if 'snakemake' not in globals(): + from _helpers import mock_snakemake + snakemake = mock_snakemake( + 'solve_network_dispatch', + **{ + 'model_file':'TEST', + 'regions':'1', + 'resarea':'redz', + 'll':'highs', + 'opts':'LC', + 'years':'2024', + } + ) + n = pypsa.Network(snakemake.input.network) + + model_file = pd.ExcelFile(snakemake.input.model_file) + model_setup = ( + pd.read_excel( + model_file, + sheet_name="model_setup", + index_col=[0]) + .loc[snakemake.wildcards.model_file] + ) + + config = snakemake.config["electricity"]["dispatch_committable_carriers"] + p_max_pu = set_existing_committable(n, model_file, model_setup, config) + n.optimize.fix_optimal_capacities() + + n.optimize.create_model(snapshots = n.snapshots[:2000], linearized_unit_commitment=True, multi_investment_periods=True) + set_max_status(n, n.snapshots[:2000], p_max_pu) + + solver_name = snakemake.config["solving"]["solver"].pop("name") + solver_options = snakemake.config["solving"]["solver"].copy() + n.optimize.solve_model(solver_name=solver_name, solver_options=solver_options) + + n.export_to_netcdf(snakemake.output[0]) \ No newline at end of file diff --git a/snakemake_cluster b/snakemake_cluster deleted file mode 100755 index 1851bc8..0000000 --- a/snakemake_cluster +++ /dev/null @@ -1,4 +0,0 @@ -#!/bin/bash - -snakemake --cluster-config cluster.yaml --cluster "sbatch --parsable -J '{cluster.name}' -p {cluster.partition} -n 1 --cpus-per-task {threads} -o '{cluster.output}' --mem {resources.mem_mb}" "$@" -