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Alcañiz Moya, A. (author), Lindfors, Anders V. (author), Zeman, M. (author), Ziar, H. (author), Isabella, O. (author)
Machine learning is arising as a major solution for the photovoltaic (PV) power prediction. Despite the abundant literature, the effect of climate on yield predictions using machine learning is unknown. This work aims to find climatic trends by predicting the power of 48 PV systems around the world, equally divided into four climates. An...
journal article 2022