An end-to-end Tamil Nadu electricity demand forecasting pipeline built on MANGO, an industrial AI platform with a drag-and-drop flow builder: an 11-block flow around a Random Forest model, with a forecast-vs-actual dashboard.
The Random Forest model scores R² 0.88, MAE 14.19 and MAPE 4.03%. The pipeline is now being extended to gas demand forecasting.
Individual project — built by me during my internship at IIT Madras – Walmart Centre for Tech Excellence (WCTE).
Built with Python, Random Forest, scikit-learn, Streamlit, MANGO.