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ENTSO-E Day-Ahead and Imbalance Price Retrieval

A comprehensive Python toolkit for retrieving, analyzing, and visualizing European electricity market data from ENTSO-E (European Network of Transmission System Operators for Electricity).

🎯 Project Overview

This repository contains scripts and tools for:

  • Day-Ahead (DA) Price Retrieval: Historical and real-time electricity prices from EPEX and other European exchanges
  • Imbalance (IMB) Price Analysis: System imbalance prices for grid stability
  • Data Visualization: Interactive dashboards and charts for price analysis
  • Automated Data Collection: Scripts for continuous data retrieval and storage

🔧 Features

Core Functionality

  • Multi-year data retrieval (2019-2025) with automatic chunking
  • API integration with ENTSO-E using official Python client
  • Data persistence with local CSV storage and caching
  • Error handling and retry mechanisms for robust data collection

Analysis Tools

  • Price distribution analysis with histograms and statistical summaries
  • Time series visualization for trend analysis
  • Monthly and annual price comparisons
  • Interactive HTML dashboards for data exploration

Data Sources

  • Day-Ahead Prices: Hourly electricity prices from European exchanges
  • Imbalance Prices: 15-minute resolution system imbalance data
  • Geographic Coverage: Netherlands (NL) with extensible country support

📁 Repository Structure

├── data/                           # Historical price data (CSV files)
│   ├── DA_prices_2019.csv         # Day-ahead prices by year
│   ├── DA_prices_2020.csv
│   └── ...
├── EPEX_hourly_avg_prices_v*.py   # Main price retrieval scripts
├── Retrieve_prices_v*.py           # Data processing and analysis scripts
├── Entsoe_aFRR_FCR_retrieval_v1.py # Ancillary services data retrieval
├── *.html                          # Interactive dashboards
├── *.pdf                           # Generated reports and visualizations
└── .gitignore                      # Prevents sensitive files from being committed

🚀 Quick Start

Prerequisites

  • Python 3.7+
  • ENTSO-E API key (required for data retrieval)

Installation

  1. Clone the repository:

    git clone https://github.com/MaykThewessen/Retrieve-Entsoe-DA-imb-prices.git
    cd Retrieve-Entsoe-DA-imb-prices
  2. Install required packages:

    pip install pandas numpy entsoe-python-client python-dotenv
  3. Set up your API key:

    • Create a .env file in the root directory
    • Add your ENTSO-E API key: ENTSOE_API_KEY=your_api_key_here

Usage

  1. Retrieve Day-Ahead Prices:

    python EPEX_hourly_avg_prices_v5.py
  2. Generate Analysis Reports:

    python Retrieve_prices_v10_histogram_loop.py
  3. View Interactive Dashboards:

    • Open EPEX_Prices_Analysis_v5.html in your web browser
    • Navigate through different analysis views

📊 Data Outputs

CSV Files

  • Day-Ahead Prices: Hourly resolution with timestamp and price columns
  • Imbalance Prices: 15-minute resolution for detailed grid analysis
  • Combined Datasets: Multi-year consolidated data for trend analysis

Visualizations

  • Price Histograms: Distribution analysis by time periods
  • Time Series Charts: Price evolution over time
  • Monthly/Annual Comparisons: Seasonal and yearly price patterns
  • Interactive Dashboards: Zoom-in capabilities for detailed analysis

🔒 Security & Privacy

Recent Security Improvements:

  • Removed all .env files from Git history (privacy issue resolved)
  • Eliminated .DS_Store files from repository (cleanup completed)
  • Added comprehensive .gitignore to prevent future sensitive file commits
  • Repository history rewritten to ensure complete data privacy

Best Practices:

  • Never commit API keys or sensitive credentials
  • Use .env files for local configuration (already in .gitignore)
  • Regular security audits of repository contents

📈 Analysis Capabilities

Statistical Analysis

  • Price Distribution: Histograms and percentiles
  • Trend Analysis: Moving averages and seasonal patterns
  • Volatility Assessment: Price variation and stability metrics

Market Insights

  • Peak/Off-peak Analysis: Price patterns by time of day
  • Seasonal Trends: Monthly and yearly price variations
  • Grid Stability: Imbalance price analysis for system health

🤝 Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Ensure no sensitive files are included
  5. Submit a pull request

📝 License

This project is open source and available under the MIT License.

🔗 Related Resources

📞 Support

For questions or issues:

  • Check existing issues in the repository
  • Review the analysis outputs and documentation
  • Ensure your API key is properly configured

Last Updated: January 2025
Repository Status: ✅ Secure, Clean, and Production Ready

About

Retrieve Entsoe DA imb prices by API and export to .csv file, with auto naming of dates and reindexing Day-ahead into 15min values to align with imbalance price data structure in Python

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