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PV module power prediction by deep learning on electrolumin..:
Lüer, Larry
;
Forberich, Karen
;
Hepp, Johannes
...
Solar Energy Materials and Solar Cells. 264 (2024) - p. 112621 , 2024
Link:
https://doi.org/10.1016/j.solmat.2023.112621
RT Journal T1
PV module power prediction by deep learning on electroluminescence images - Assessing the physics learned by a convolutional neural network
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.solmat.2023.112621&Exemplar=1&LAN=DE A1 Lüer, Larry A1 Forberich, Karen A1 Hepp, Johannes A1 Buerhop-Lutz, Claudia A1 Winkler, Thilo A1 Rodrigues, Sandy A1 Hoffmann, Mathis A1 Doll, Bernd A1 Hauch, Jens A1 Brabec, Christoph J. A1 Peters, Ian Marius PB Elsevier BV YR 2024 SN 0927-0248 JF Solar Energy Materials and Solar Cells VO 264 SP 112621 LK http://dx.doi.org/https://doi.org/10.1016/j.solmat.2023.112621 DO https://doi.org/10.1016/j.solmat.2023.112621 SF ELIB - SuUB Bremen
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