Deep‐learning‐based pipeline for module power prediction from electroluminescense measurements (English)
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In:
Progress in Photovoltaics: Research and Applications
;
29
, 8
;
920-935
;
2021
- Article (Journal) / Electronic Resource
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Title:Deep‐learning‐based pipeline for module power prediction from electroluminescense measurements
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Contributors:Hoffmann, Mathis ( author ) / Buerhop‐Lutz, Claudia ( author ) / Reeb, Luca ( author ) / Pickel, Tobias ( author ) / Winkler, Thilo ( author ) / Doll, Bernd ( author ) / Würfl, Tobias ( author ) / Marius Peters, Ian ( author ) / Brabec, Christoph ( author ) / Maier, Andreas ( author )
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Published in:Progress in Photovoltaics: Research and Applications ; 29, 8 ; 920-935
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Publisher:
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Publication date:2021-08-01
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Size:16 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 29, Issue 8
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 885
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Issue Information| 2021
- 887
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III‐V//CuxIn1−yGaySe2 multijunction solar cells with 27.2% efficiency fabricated using modified smart stack technology with Pd nanoparticle array and adhesive materialMakita, Kikuo / Kamikawa, Yukiko / Mizuno, Hidenori / Oshima, Ryuji / Shoji, Yasushi / Ishizuka, Shogo / Müller, Ralph / Beutel, Paul / Lackner, David / Benick, Jan et al. | 2021
- 899
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Singlet fission and tandem solar cells reduce thermal degradation and enhance lifespanJiang, Yajie / Nielsen, Michael P. / Baldacchino, Alex J. / Green, Martin A. / McCamey, Dane R. / Tayebjee, Murad J. Y. / Schmidt, Timothy W. / Ekins‐Daukes, Nicholas. J. et al. | 2021
- 907
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Analysis of the degradation of single‐crystalline silicon modules after 21 years of operationPiliougine, Michel / Oukaja, Amal / Sánchez‐Friera, Paula / Petrone, Giovanni / Sánchez‐Pacheco, Francisco José / Spagnuolo, Giovanni / Sidrach‐de‐Cardona, Mariano et al. | 2021
- 920
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Deep‐learning‐based pipeline for module power prediction from electroluminescense measurementsHoffmann, Mathis / Buerhop‐Lutz, Claudia / Reeb, Luca / Pickel, Tobias / Winkler, Thilo / Doll, Bernd / Würfl, Tobias / Marius Peters, Ian / Brabec, Christoph / Maier, Andreas et al. | 2021
- 936
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Contacting a single nanometer‐sized pinhole in the interfacial oxide of a poly‐silicon on oxide (POLO) solar cell junctionBayerl, Paul / Folchert, Nils / Bayer, Johannes / Dzinnik, Marvin / Hollemann, Christina / Brendel, Rolf / Peibst, Robby / Haug, Rolf J. et al. | 2021
- 943
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Effect of TiO2 layer thickness of TiO2/NiO transparent photovoltaicsKumar, Naveen / Patel, Malkeshkumar / Nguyen, Thanh Tai / Kim, Sangho / Kim, Joondong et al. | 2021
- 953
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An in‐depth field validation of “DUSST”: A novel low‐maintenance soiling measurement deviceMuller, Matthew / Micheli, Leonardo / Solas, Alvaro F. / Gostein, Michael / Robinson, Justin / Morely, Kenny / Dooraghi, Michael / Alghamdi, Yusif A. / Almutairi, Zeyad A. / Almonacid, Florencia et al. | 2021
- 968
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Photovoltaics literature survey (No. 168)Hameiri, Ziv et al. | 2021
- i
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Cover ImageBayerl, Paul / Folchert, Nils / Bayer, Johannes / Dzinnik, Marvin / Hollemann, Christina / Brendel, Rolf / Peibst, Robby / Haug, Rolf J. et al. | 2021