Machine Learning-Driven Curtailment Prediction in a Renewable School Microgrid System
Reliable and sustainable electrification of educational institutions remains a major challenge in developing regions due to rising energy demand, grid instability, and environmental concerns. This study proposes a hybrid renewable microgrid for a primary school integrating solar photovoltaic (PV), wind turbine (WT), ba...