In this study, machine learning algorithms are employed to develop multi-label forecasts of the PV and AC power output for a BAPV plant. Different groups of machine learning algorithms and datasets are proposed to apply the forecasting model to…
Multi-label machine learning for power forecasting of a grid-connected photovoltaic solar plant over multiple time horizons
