A Hybrid Ensemble Learning Strategy for Enhancing Solar Photovoltaic Forecasting in Renewable Energy Systems
The successful forecast of the solar photovoltaic (PV) power processing is essential in increasing grid stability, and in the ultimate inclusion of renewable energy. This paper is a research project aiming to introduce a hybrid classifier of Random Forest (RF), K-Nearest Neighbors (KNN), and Elastic Net (EN) to enhance...