The ENTSO-E Data Analysis Tool is an interactive web application designed to streamline the analysis of the European Network of Transmission System Operators for Electricity(ENTSO-E) power system data. This tool is crafted to facilitate a seamless operation in handling, visualising, and analysing electricity market and grid data across Europe.

• Data Upload and Cleaning: Easily upload ENTSO-E data and handle missing values.
• Data Visualisation: Visualise time series data with options to analyse daily means, monthly peaks, and changes.
• Trend Analysis: Perform basic analysis with features like load comparisons and statistical summaries.
• Data Preparation: Prepare your data by setting time columns, handling invalid rows, and managing duplicates.
• Interactive UI: User-friendly interface with functionalities accessible through a sidebar.

• Python 3.10
• Streamlit 1.28
• Pandas 2.1.2
• Plotly 5.18.0

Clone the repository and install the required packages:

git clone https://github.com/SaM-92/energy-data-entsoe.git

pip install -r requirements.txt

To start the application, run:

streamlit run app.py

Navigate to the displayed URL in your web browser to interact with the application.

• app.py: The main application script.
• data_loader.py: Module for loading and initial processing of data.
• visualisation.py: Creating and configuring data visualizations.

1. Upload Data: Start by uploading your ENTSO-E data file.
2. Data Manipulation: Clean and prepare your data for analysis.
3. Visualize Data: Explore various visualization options for your data.
4. Analyze Trends: Utilize the tools provided for trend analysis and statistical insights.

For any queries or suggestions, please reach out to LinkedIn or [email protected].