Comparison of Implicit vs. Explicit Regime Identification in Machine Learning Methods for Solar Irradiance Prediction
This work compares the solar power forecasting performance of tree-based methods that include implicit regime-based models to explicit regime separation methods that utilize both unsupervised and 1950s candy box supervised machine learning techniques.Previous studies have shown an improvement utilizing a regime-based machine learning approach in a