OpenEnergyID

Open Source Python library for energy data analytics and simulations

Baseload analysis

Use BaseloadAnalyzer(timezone="Europe/Brussels"), prepare data with prepare_power_series(energy_lf) and then call analyze(power_lf, "1h").
Accepts either energy (timestamp/total in kWh per 15 min) or precomputed power (timestamp/power watts); gapped or zero-valued intervals are kept and handled safely.
Outputs energy splits (baseload vs total) and baseload ratios per chosen reporting granularity, keeping computations lazy via Polars LazyFrame.

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.devcontainer		.devcontainer
.github/workflows		.github/workflows
.vscode		.vscode
data		data
openenergyid		openenergyid
tests		tests
.DS_Store		.DS_Store
.gitattributes		.gitattributes
.gitignore		.gitignore
.pre-commit-config.yaml		.pre-commit-config.yaml
DEVELOPERS.md		DEVELOPERS.md
LICENSE		LICENSE
README.md		README.md
demo_baseLoad.ipynb		demo_baseLoad.ipynb
demo_capacity_analysis.ipynb		demo_capacity_analysis.ipynb
demo_dyntar_analysis.ipynb		demo_dyntar_analysis.ipynb
demo_energiedelen.ipynb		demo_energiedelen.ipynb
demo_energyid_download.ipynb		demo_energyid_download.ipynb
demo_mvlr.ipynb		demo_mvlr.ipynb
demo_pv_sim_with_evaluation.ipynb		demo_pv_sim_with_evaluation.ipynb
demo_pvsimulation.ipynb		demo_pvsimulation.ipynb
demo_simeval.ipynb		demo_simeval.ipynb
download_prices.ipynb		download_prices.ipynb
performance_testing.ipynb		performance_testing.ipynb
pyproject.toml		pyproject.toml
requirements-dev.txt		requirements-dev.txt
requirements.txt		requirements.txt
uv.lock		uv.lock