{"status":"public","_id":"2953","citation":{"apa":"Behrens, G., Hepp, D., Hempelmann, S., &#38; Friedrich, W. (2022). Detection of snow-coverage on PV-modules with images based on CNN-techniques. In V. Wohlgemuth, S. Naumann, H.-K. Arnd, G. Behrens, M. Höb, &#38; Gesellschaft für Informatik e.V. (Eds.), <i>ENVIROINFO 2022</i> (Vol. P328). Bonn.","chicago":"Behrens, Grit, Dennis Hepp, Sebastian Hempelmann, and Werner  Friedrich. “Detection of Snow-Coverage on PV-Modules with Images Based on CNN-Techniques.” In <i>ENVIROINFO 2022</i>, edited by Volker  Wohlgemuth, Stefan  Naumann, Hans-Knud Arnd, Grit  Behrens, Maximilian Höb, and Gesellschaft für Informatik e.V., Vol. P328. Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328. Bonn, 2022.","ieee":"G. Behrens, D. Hepp, S. Hempelmann, and W. Friedrich, “Detection of snow-coverage on PV-modules with images based on CNN-techniques,” in <i>ENVIROINFO 2022</i>, Hamburg, 2022, vol. P328.","alphadin":"<span style=\"font-variant:small-caps;\">Behrens, Grit</span> ; <span style=\"font-variant:small-caps;\">Hepp, Dennis</span> ; <span style=\"font-variant:small-caps;\">Hempelmann, Sebastian</span> ; <span style=\"font-variant:small-caps;\">Friedrich, Werner </span>: Detection of snow-coverage on PV-modules with images based on CNN-techniques. In: <span style=\"font-variant:small-caps;\">Wohlgemuth, V.</span> ; <span style=\"font-variant:small-caps;\">Naumann, S.</span> ; <span style=\"font-variant:small-caps;\">Arnd, H.-K.</span> ; <span style=\"font-variant:small-caps;\">Behrens, G.</span> ; <span style=\"font-variant:small-caps;\">Höb, M.</span> ; <span style=\"font-variant:small-caps;\">Gesellschaft für Informatik e.V.</span> (Hrsg.): <i>ENVIROINFO 2022</i>, <i>Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328</i>. Bd. P328. Bonn, 2022","short":"G. Behrens, D. Hepp, S. Hempelmann, W. Friedrich, in: V. Wohlgemuth, S. Naumann, H.-K. Arnd, G. Behrens, M. Höb, Gesellschaft für Informatik e.V. (Eds.), ENVIROINFO 2022, Bonn, 2022.","ama":"Behrens G, Hepp D, Hempelmann S, Friedrich W. Detection of snow-coverage on PV-modules with images based on CNN-techniques. In: Wohlgemuth V, Naumann S, Arnd H-K, Behrens G, Höb M, Gesellschaft für Informatik e.V., eds. <i>ENVIROINFO 2022</i>. Vol P328. Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328. Bonn; 2022.","mla":"Behrens, Grit, et al. “Detection of Snow-Coverage on PV-Modules with Images Based on CNN-Techniques.” <i>ENVIROINFO 2022</i>, edited by Volker  Wohlgemuth et al., vol. P328, 2022.","bibtex":"@inproceedings{Behrens_Hepp_Hempelmann_Friedrich_2022, place={Bonn}, series={Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328}, title={Detection of snow-coverage on PV-modules with images based on CNN-techniques}, volume={P328}, booktitle={ENVIROINFO 2022}, author={Behrens, Grit and Hepp, Dennis and Hempelmann, Sebastian and Friedrich, Werner }, editor={Wohlgemuth, Volker  and Naumann, Stefan  and Arnd, Hans-Knud and Behrens, Grit  and Höb, Maximilian and Gesellschaft für Informatik e.V.Editors}, year={2022}, collection={Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328} }"},"user_id":"237837","title":"Detection of snow-coverage on PV-modules with images based on CNN-techniques","publication":"ENVIROINFO 2022","date_created":"2023-05-23T16:08:36Z","project":[{"_id":"A82B586E-C7DA-11E9-B0AE-1F4CB252D58D","name":"Adaptive Ertragsprognose mit data-Mining im PV-Feld auf Grundlage iener digitalen Signatur der PV-Module und der Systemkomponenten (PV digital 4.0)"}],"corporate_editor":["Gesellschaft für Informatik e.V."],"year":"2022","publication_status":"published","language":[{"iso":"eng"}],"department":[{"_id":"102"}],"date_updated":"2024-03-28T09:01:32Z","place":"Bonn","series_title":"Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328","publication_identifier":{"isbn":["\t978-3-88579-722-7"],"issn":["\t1617-5468"]},"conference":{"name":"EnviroInfo 2022","location":"Hamburg","start_date":"2022-09-26","end_date":"2022-09-30"},"abstract":[{"text":"The transition from fossil fuels to renewable energy is considered as very meaningful to mitigate climate change. To integrate weather-dependent energies firmly into the power grid, a forecast of the energy yield is very important. This paper is about renewable energy generation by photovoltaic (PV) systems. The yield of PV-systems depends not only on weather conditions, but in wintertime also on the additional factor “snow cover”. The aim of this work is to detect snow cover on photovoltaic plants to support the energy yield forecast. For this purpose, images of a PV-plant with and without snow cover are used for feature extraction and then analyzed by using a convolutional neural network (CNN).","lang":"eng"}],"type":"conference","main_file_link":[{"url":"http://dl.gi.de/handle/20.500.12116/39404","open_access":"1"}],"quality_controlled":"1","volume":"P328","keyword":["convolutional neural network","photovoltaic modules","snow detection","machine learning"],"author":[{"last_name":"Behrens","full_name":"Behrens, Grit","id":"207629","first_name":"Grit","orcid":"0009-0009-0247-8204"},{"full_name":"Hepp, Dennis","last_name":"Hepp","first_name":"Dennis"},{"first_name":"Sebastian","full_name":"Hempelmann, Sebastian","last_name":"Hempelmann"},{"first_name":"Werner ","full_name":"Friedrich, Werner ","last_name":"Friedrich"}],"external_id":{"unknown":["http://dl.gi.de/handle/20.500.12116/39404"]},"jel":["D83"],"oa":"1","editor":[{"first_name":"Volker ","last_name":"Wohlgemuth","full_name":"Wohlgemuth, Volker "},{"first_name":"Stefan ","last_name":"Naumann","full_name":"Naumann, Stefan "},{"first_name":"Hans-Knud","last_name":"Arnd","full_name":"Arnd, Hans-Knud"},{"first_name":"Grit ","last_name":"Behrens","full_name":"Behrens, Grit "},{"last_name":"Höb","full_name":"Höb, Maximilian","first_name":"Maximilian"}]}