Machine Learning-Based Forecasting of Hybrid Wind–Solar Energy Generation For Sustainable Grid Integration
Integrating renewable energy into power grids requires precise energy forecasting for each area. This study designed a physics-informed machine learning model to predict combined wind and solar power in Punjab, with 60,909 data points (April 2021–August 2025) obtained from five meteorological stations hourly data telem...