OctoGreen: Smart Energy Analysis and Savings Platform

Project Purpose

A platform that analyzes energy consumption data from IoT devices and manual uploads, providing anomaly detection, personalized savings recommendations, and carbon footprint calculations, supported by a modern visual dashboard.

Key Features

• IoT data simulator and manual CSV upload
• AI-based analysis: consumption patterns, anomaly detection, scenario generation
• Personalized recommendation engine (% savings, USD and carbon equivalent)
• Live and visual dashboard (Streamlit)
• PDF/CSV report download
• Real IoT device integration (Tuya, Shelly, MQTT)
• Open data sources integration (UCI, EPIAS, etc.)
• Bill-based estimation
• Device-based estimation

Usage

1. Start the application with Streamlit:

   streamlit run app.py

2. Load or simulate data through the dashboard.
3. View analyses and recommendations, download reports.

Requirements

• Python 3.9+
• Required packages: pandas, numpy, scikit-learn, streamlit, plotly, fpdf, requests, paho-mqtt

Installation

pip install -r requirements.txt

Data Sources

• IoT Simulation: Generate synthetic data for testing
• CSV Upload: Upload your own consumption data
• Real IoT Devices: Connect Tuya, Shelly, or MQTT devices
• Bill Estimation: Estimate hourly consumption from monthly bills
• Device Estimation: Calculate consumption based on device specifications
• Open Data: Access UCI Household, EPIAS Turkey, and sample datasets

API Usage: open_data.py

open_data.py modülü, çeşitli açık veri kaynaklarından enerji tüketim verilerini almak için aşağıdaki API'leri kullanır:

• EPIAS Transparency Platform (Türkiye Gerçek Zamanlı Tüketim)

  • API: https://seffaflik.epias.com.tr/transparency/service/consumption/real-time-consumption
  • Amaç: Türkiye'nin saatlik toplam elektrik tüketim verilerini almak ve analizlerde kullanmak.

• Kaggle UCI Household Power Consumption Dataset

  • API: https://archive.ics.uci.edu/ml/machine-learning-databases/00235/household_power_consumption.zip
  • Amaç: Ev tipi elektrik tüketim örnek verisiyle analiz ve test yapmak.

• Open Power System Data

  • API: https://data.open-power-system-data.org/time_series/latest/time_series_60min_singleindex.csv
  • Amaç: Farklı ülkelerin şebeke bazlı saatlik elektrik tüketim verilerini almak ve karşılaştırmalı analizler yapmak.

Her bir API, platformun analiz ve raporlama fonksiyonlarını desteklemek için veri sağlar. Bu modül sayesinde kullanıcılar, gerçek ve örnek veri kaynaklarından kolayca veri çekebilir ve analiz edebilir.

CSV Format

timestamp,device_id,consumption_kWh
2024-01-15 00:00:00,Refrigerator,0.45
2024-01-15 01:00:00,Refrigerator,0.51
2024-01-15 00:00:00,AC,1.20

Features

• Anomaly Detection: Machine learning-based anomaly identification
• Pattern Analysis: Hourly and daily consumption patterns
• Savings Recommendations: Personalized tips with kWh, CO2, and USD savings
• Carbon Footprint: Calculate environmental impact
• Interactive Charts: Plotly-powered visualizations
• Export Reports: PDF and CSV formats

Contributing and License

Solo hackathon project. For demo and presentation purposes.