This project is a Hybrid Solar Power Forecasting Model that combines Random Forest and LSTM to predict solar power output with high accuracy. It captures both linear and non-linear patterns, achieving an R² of 0.9997. The model is ideal for energy management, grid optimization, and renewable energy planning.