Comparison of Training Approaches for Photovoltaic Forecasts by Means of Machine Learning
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DOI: 10.3390/app8020228
Abstract: The relevance of forecasting in renewable energy sources (RES) applications is increasing, due to their intrinsic variability. In recent years, several machine learning and hybrid techniques have been employed to perform day-ahead photovoltaic (PV) output… read more here.
Keywords: machine; training approaches; machine learning; approaches photovoltaic ... See more keywords