Scientific Mapping of Machine Learning Methods in Predicting Power Output of Solar Photovoltaic Power Systems
Elisângela Pinheiro,
Felipe Martins Muller
Abstract:Objective: This study aimed to conduct a scientometric mapping of the scientific literature on prediction models in photovoltaic solar energy generation, with a special focus on grid-connected photovoltaic systems (GCPV), aiming to provide important insights for researchers, policymakers, and professionals interested in advancing the integration of photovoltaic solar energy into the current energy distribution system.
Theoretical Framework: In this section, the main concepts and theories underpinning the r… Show more
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