Energy Generation Forecasting Using AI

This machine learning project predicts renewable energy generation with high accuracy, enabling better energy planning and management. The system analyzes meteorological data and historical patterns to forecast solar and wind energy production.

Key achievements: - Implemented multiple ML models (ANN, LSTM, Gradient Boosting) - Achieved 90%+ prediction accuracy for energy generation - Integrated real-time weather data for dynamic predictions - Developed interactive forecasting dashboard

The system helps utility companies optimize energy distribution and reduces reliance on fossil fuel backup systems.