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GridForecast: Electricity Demand Predictor

GridForecast is an end-to-end electricity demand forecasting system built on real-time ENTSO-E operational data, combining time series analytics (ARIMA, SARIMA, Prophet, LSTM), ensemble modeling, automated monitoring, and continuous retraining to enable data-driven grid operations and energy trading decisions.

From insights derived from temporal demand patterns and renewable energy variability, actionable forecasting models were developed and deployed via an interactive web application. The application provides a dashboard interface for grid operators and energy traders to visualize 24-hour demand predictions, confidence intervals, and real-time model performance to support operational planning and risk mitigation.

Hugging Face Spaces Streamlit App link :

Docker Hub Link:

Streamlit link:

Articles -

• Medium:

Authors

• Samith Chimminiyan

Table of Contents

• Authors
• Table of Contents
• Problem Statement
• Tech Stack
• Data source
• Glance at the results
• Limitation and what can be improved
• Lessons Learned and Recommendations
• Run Locally
• Explore the notebook
• Contribution
• Repository structure
• License