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Article . 2024 . Peer-reviewed

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PV module power prediction by deep learning on electroluminescence images - Assessing the physics learned by a convolutional neural network

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2024Publisher:Elsevier BVJournal:Solar Energy Materials and Solar Cells, volume 264, page 112,621 (issn: 0927-0248,

Authors: Larry Lüer; Karen Forberich; Johannes Hepp; Claudia Buerhop-Lutz; Thilo Winkler; Sandy Rodrigues; Mathis Hoffmann; +4 Authors

doi: 10.1016/j.solmat.2023.112621

PV module power prediction by deep learning on electroluminescence images - Assessing the physics learned by a convolutional neural network

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Helmholtz Institute Erlangen-Nürnberg
Germany
University of Erlangen-Nuremberg
Germany
Bavarian Center for Applied Energy Research
Germany

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