| A benchmark for visual identification of defective solar cells in electroluminescence imagery C Buerhop-Lutz, S Deitsch, A Maier, F Gallwitz, S Berger, B Doll, J Hauch, ... 35th European PV Solar Energy Conference and Exhibition 12871289, 1287-1289, 2018 | 67 | 2018 |
| Non-stationary outdoor EL-measurements with a fast and highly sensitive InGaAs camera J Adams, B Doll, C Buerhop, T Pickel, J Teubner, C Camus, CJ Brabec Munich, 1837-1841, 2016 | 20 | 2016 |
| Photoluminescence for defect detection on full-sized photovoltaic modules B Doll, J Hepp, M Hoffmann, R Schüler, C Buerhop-Lutz, IM Peters, ... IEEE Journal of Photovoltaics 11 (6), 1419-1429, 2021 | 18 | 2021 |
| High-throughput, outdoor characterization of photovoltaic modules by moving electroluminescence measurements B Doll, T Pickel, O Schreer, C Zetzmann, J Hepp, J Teubner, C Buerhop, ... Optical Engineering 58 (8), 083105-083105, 2019 | 13 | 2019 |
| Deep‐learning‐based pipeline for module power prediction from electroluminescense measurements M Hoffmann, C Buerhop‐Lutz, L Reeb, T Pickel, T Winkler, B Doll, T Würfl, ... Progress in Photovoltaics: Research and Applications 29 (8), 920-935, 2021 | 11 | 2021 |
| Defects and performance of Si PV modules in the field–an analysis J Denz, J Hepp, C Buerhop, B Doll, J Hauch, CJ Brabec, IM Peters Energy & Environmental Science 15 (6), 2180-2199, 2022 | 6 | 2022 |
| Fast and robust detection of solar modules in electroluminescence images M Hoffmann, B Doll, F Talkenberg, CJ Brabec, AK Maier, V Christlein Computer Analysis of Images and Patterns: 18th International Conference …, 2019 | 6 | 2019 |
| Quantitative assessment of the influence of camera and parameter choice for outdoor electroluminescence investigations of silicon photovoltaic panels B Doll, EC del Rivero, J Hepp, T Pickel, C Buerhop, R Knecht, C Camus, ... Zeitschrift für Naturforschung A 74 (8), 645-653, 2019 | 5 | 2019 |
| Analysis of digitized PV-module/system data for failure diagnosis C Buerhop-Lutz, T Pickel, B Doll, C Brabec, J Hauch, J Denz 36th. EU-PVSEC, 2019 | 5 | 2019 |
| High through-put outdoor characterization of silicon photovoltaic modules by moving electroluminescence measurements B Doll, T Pickel, O Schreer, C Zetzmann, J Teubner, C Buerhop, J Hauch, ... Infrared Sensors, Devices, and Applications VIII 10766, 109-119, 2018 | 5 | 2018 |
| Luminescence analysis of PV-module soiling in Germany B Doll, K Forberich, J Hepp, S Langner, C Buerhop-Lutz, JA Hauch, ... IEEE Journal of Photovoltaics 12 (1), 81-87, 2021 | 4 | 2021 |
| Contactless outdoor photoluminescence of silicon photovoltaic modules with large area excitation source B Doll, M Hoffmann, O Stroyuk, A Vetter Proc. 37th Eur. Photovolt. Sol. Energy Conf. Exhib., 1370-1373, 2020 | 4 | 2020 |
| Quantitative assessment of the power loss of silicon PV modules by IR thermography and its practical application in the field J Denz, C Buerhop, C Camus, I Kruse, T Pickel, B Doll, J Hauch, C Brabec 37th european photovoltaic solar energy conference and exhibition, 1542-1547, 2020 | 4 | 2020 |
| Towards true contactless outdoor luminescence of silicon photovoltaic modules with inhomogeneous small area excitation source B Doll, J Kornhas, J Hepp, C Buerhop, J Hauch, C Camus, CJ Brabec 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC)(A …, 2018 | 4 | 2018 |
| 1st International round robin on EL imaging: automated camera calibration and image normalisation KG Bedrich, J Chai, Y Wang, AG Aderle, M Bliss, M Bokalic, B Doll, ... Loughborough University, 2018 | 3 | 2018 |
| Module-Power Prediction from PL Measurements using Deep Learning M Hoffmann, J Hepp, B Doll, C Buerhop-Lutz, IM Peters, C Brabec, ... 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC), 0827-0830, 2021 | 2 | 2021 |
| PREDICTING MODULE IV CURVES FROM ELECTROLUMINESCENCE IMAGES WITH DEEP LEARNING S Rodrigues, C Buerhop, B Doll, J Hauch, C Brabec, IM Peters Sep, 2020 | 2 | 2020 |
| Joint Superresolution and Rectification for Solar Cell Inspection M Hoffmann, T Köhler, B Doll, F Schebesch, F Talkenberg, IM Peters, ... IEEE journal of photovoltaics 11 (4), 1051-1058, 2021 | 1 | 2021 |
| Using Deep Learning to Predict PV Module IV Curves From Electroluminescence Images S Rodrigues Abreu, J Hauch, IM Peters, T Winkler, C Buerhop-Lutz, ... 36th PV Symposium, 97-110, 2021 | 1 | 2021 |
| Deep learning-based pipeline for module power prediction from el measurements M Hoffmann, C Buerhop-Lutz, L Reeb, T Pickel, T Winkler, B Doll, T Würfl, ... arXiv preprint arXiv:2009.14712, 2020 | 1 | 2020 |
