PV module power prediction by deep learning on electroluminescence images - Assessing the physics learned by a convolutional neural network
Lüer, Larry, Forberich, Karen, Hepp, Johannes, Buerhop-Lutz, Claudia, Winkler, Thilo, Rodrigues, Sandy, Hoffmann, Mathis, Doll, Bernd, Hauch, Jens, Brabec, Christoph J., Peters, Ian Marius
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Published in Solar energy materials and solar cells (01.01.2024)
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Journal Article
Deep‐learning‐based pipeline for module power prediction from electroluminescense measurements
Hoffmann, Mathis, Buerhop‐Lutz, Claudia, Reeb, Luca, Pickel, Tobias, Winkler, Thilo, Doll, Bernd, Würfl, Tobias, Marius Peters, Ian, Brabec, Christoph, Maier, Andreas, Christlein, Vincent
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Published in Progress in photovoltaics (01.08.2021)
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Lifetime and Degradation of Pre-damaged PV-Modules - Field study and lab testing
Buerhop, Claudia, Brabec, Christoph J., Wirsching, Sven, Gehre, Simon, Pickel, Tobias, Winkler, Thilo, Bemm, Andreas, Mergheim, Julia, Camus, Christian, Hauch, Jens
Published in 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC) (01.06.2017)
Published in 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC) (01.06.2017)
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Conference Proceeding
PV Modules and Their Backsheets -- A Case Study of a Multi-MW PV Power Station
Buerhop-Lutz, Claudia, Stoyuk, Oleksandr, Pickel, Tobias, Winkler, Thilo, Hauch, Jens, Peters, Ian Marius
Published in arXiv.org (12.05.2021)
Published in arXiv.org (12.05.2021)
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Journal Article
Deep Learning-based Pipeline for Module Power Prediction from EL Measurements
Hoffmann, Mathis, Buerhop-Lutz, Claudia, Reeb, Luca, Pickel, Tobias, Winkler, Thilo, Doll, Bernd, Würfl, Tobias, Peters, Ian Marius, Brabec, Christoph, Maier, Andreas, Christlein, Vincent
Published in arXiv.org (26.11.2020)
Published in arXiv.org (26.11.2020)
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Journal Article