Machine Learning Models for Regional Photovoltaic Power Generation Forecasting with Limited Plant-Specific Data
Mauro Tucci,
Antonio Piazzi,
Dimitri Thomopulos
Abstract:Predicting electricity production from renewable energy sources, such as solar photovoltaic installations, is crucial for effective grid management and energy planning in the transition towards a sustainable future. This study proposes machine learning approaches for predicting electricity production from solar photovoltaic installations at a regional level in Italy, not using data on individual installations. Addressing the challenge of diverse data availability between pinpoint meteorological inputs and aggr… Show more
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