Dutch scientists have developed PV forecasting method that uses the XGBoost algorithm. They claim their approach predicts electricity generation levels an hour ahead for big fleets of residential solar arrays.Scientists at the Delft University of Technology in the Netherlands have developed a machine-learning (ML) technique to predict power yields in rooftop PV system. They claim it can predict electricity generation levels one hour ahead. They described their findings in "Individual yield nowcasting for residential PV systems," which was recently published in Solar Energy. The researchers said ...Den vollständigen Artikel lesen ...