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Article . 2025 . Peer-reviewed

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Comprehensive approach to photovoltaic power forecasting using numerical weather prediction data and physics-based models and data-driven techniques

descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 2025Publisher:Elsevier BVJournal:Renewable Energy, volume 251, page 123,495 (issn: 0960-1481,

Authors: Sara Pereira; Paulo Canhoto; Takashi Oozeki; Rui Salgado;

doi: 10.1016/j.renene.2025.123495

Comprehensive approach to photovoltaic power forecasting using numerical weather prediction data and physics-based models and data-driven techniques

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FCT| ICT, FCT| ICT, FCT| SFRH/BD/145378/2019

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