H. Mohammadi

A Data‐Driven Investigation of How Forecast Horizon and Training Data Size Influence Machine Learning Performance in Solar Irradiance Forecasting

An in‐depth comparison of four state‐of‐the‐art ML models across various horizons and training data sizes shows the importance of integrating MRMR, with guidelines for researchers and energy planners to achieve more accurate and efficient solar irradiance prediction.