Optimized Machine Learning for Solar Energy Generation Forecasting: A Feature Selection and Hyperparameter Optimization Approach
Solar energy is among the most promising renewable resources for developing sustainable energy systems; however, the stochastic and weather-sensitive nature of Solar Energy Generation (SEG) poses challenges for forecasting. The current study designs a machine learning framework for SEG forecasting by using feature sele...