[{"publication_status":"published","publication":"Umweltinformationssysteme - Digitalisierung für eine nachhaltige Planetare Zukunft/ Tagungsband des 31. Workshops \"Umweltinformationssysteme (UIS 2024)\" der Fachgruppe \"Umweltinformationssysteme\" der Gesellschaft für Informatik (GI)","corporate_editor":["Springer"],"user_id":"220548","type":"conference","publication_identifier":{"isbn":["978-3-658-46393-9"]},"related_material":{"link":[{"relation":"contains","url":"https://link.springer.com/book/9783658463939"}]},"date_created":"2025-02-28T17:23:16Z","title":"Prognose von Pegelständen mit Methoden des Maschinellen Lernens und frei verfügbaren Daten","quality_controlled":"1","language":[{"iso":"ger"}],"_id":"5772","editor":[{"first_name":"Frank","full_name":"Fuchs-Kittkowski, Frank","last_name":"Fuchs-Kittkowski"},{"full_name":"Abecker, Andreas ","last_name":"Abecker","first_name":"Andreas "},{"last_name":"Hosenfeld","full_name":"Hosenfeld, Friedhelm ","first_name":"Friedhelm "},{"last_name":"Reineke","full_name":"Reineke, Anja","first_name":"Anja"},{"first_name":"Matthias","last_name":"Möller","full_name":"Möller, Matthias"}],"year":"2025","date_updated":"2026-03-17T15:29:22Z","publisher":"Springer Fachmedien Wiesbaden; Springer Vieweg ","status":"public","conference":{"name":"31. Workshop der Fachgruppe 4.6.4 der Gesellschaft für Informatik ","location":"Uni Bamberg","start_date":"2024-04-10","end_date":"2024-04-12"},"author":[{"last_name":"Behrens","full_name":"Behrens, Grit","orcid":"0009-0009-0247-8204","id":"207629","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0009-0247-8204/work/179140705","first_name":"Grit"},{"last_name":"Marten","full_name":"Marten, Daniel","first_name":"Daniel"},{"first_name":"Levent","full_name":"Koch, Levent","last_name":"Koch"},{"full_name":"Gaj, Marcel","last_name":"Gaj","first_name":"Marcel"}],"citation":{"ama":"Behrens G, Marten D, Koch L, Gaj M. Prognose von Pegelständen mit Methoden des Maschinellen Lernens und frei verfügbaren Daten. In: Fuchs-Kittkowski F, Abecker A, Hosenfeld F, Reineke A, Möller M, Springer, eds. <i>Umweltinformationssysteme - Digitalisierung für eine nachhaltige Planetare Zukunft/ Tagungsband des 31. Workshops “Umweltinformationssysteme (UIS 2024)” der Fachgruppe “Umweltinformationssysteme” der Gesellschaft für Informatik (GI)</i>. Berlin: Springer Fachmedien Wiesbaden; Springer Vieweg ; 2025.","mla":"Behrens, Grit, et al. “Prognose von Pegelständen mit Methoden des Maschinellen Lernens und frei verfügbaren Daten.” <i>Umweltinformationssysteme - Digitalisierung für eine nachhaltige Planetare Zukunft/ Tagungsband des 31. Workshops “Umweltinformationssysteme (UIS 2024)” der Fachgruppe “Umweltinformationssysteme” der Gesellschaft für Informatik (GI)</i>, edited by Frank Fuchs-Kittkowski et al., Springer Fachmedien Wiesbaden; Springer Vieweg , 2025.","short":"G. Behrens, D. Marten, L. Koch, M. Gaj, in: F. Fuchs-Kittkowski, A. Abecker, F. Hosenfeld, A. Reineke, M. Möller, Springer (Eds.), Umweltinformationssysteme - Digitalisierung für eine nachhaltige Planetare Zukunft/ Tagungsband des 31. Workshops “Umweltinformationssysteme (UIS 2024)” der Fachgruppe “Umweltinformationssysteme” der Gesellschaft für Informatik (GI), Springer Fachmedien Wiesbaden; Springer Vieweg , Berlin, 2025.","chicago":"Behrens, Grit, Daniel Marten, Levent Koch, and Marcel Gaj. “Prognose von Pegelständen mit Methoden des Maschinellen Lernens und frei verfügbaren Daten.” In <i>Umweltinformationssysteme - Digitalisierung für eine nachhaltige Planetare Zukunft/ Tagungsband des 31. Workshops “Umweltinformationssysteme (UIS 2024)” der Fachgruppe “Umweltinformationssysteme” der Gesellschaft für Informatik (GI)</i>, edited by Frank Fuchs-Kittkowski, Andreas  Abecker, Friedhelm  Hosenfeld, Anja Reineke, Matthias Möller, and Springer. Berlin: Springer Fachmedien Wiesbaden; Springer Vieweg , 2025.","apa":"Behrens, G., Marten, D., Koch, L., &#38; Gaj, M. (2025). Prognose von Pegelständen mit Methoden des Maschinellen Lernens und frei verfügbaren Daten. In F. Fuchs-Kittkowski, A. Abecker, F. Hosenfeld, A. Reineke, M. Möller, &#38; Springer (Eds.), <i>Umweltinformationssysteme - Digitalisierung für eine nachhaltige Planetare Zukunft/ Tagungsband des 31. Workshops “Umweltinformationssysteme (UIS 2024)” der Fachgruppe “Umweltinformationssysteme” der Gesellschaft für Informatik (GI)</i>. Berlin: Springer Fachmedien Wiesbaden; Springer Vieweg .","bibtex":"@inproceedings{Behrens_Marten_Koch_Gaj_2025, place={Berlin}, title={Prognose von Pegelständen mit Methoden des Maschinellen Lernens und frei verfügbaren Daten}, booktitle={Umweltinformationssysteme - Digitalisierung für eine nachhaltige Planetare Zukunft/ Tagungsband des 31. Workshops “Umweltinformationssysteme (UIS 2024)” der Fachgruppe “Umweltinformationssysteme” der Gesellschaft für Informatik (GI)}, publisher={Springer Fachmedien Wiesbaden; Springer Vieweg }, author={Behrens, Grit and Marten, Daniel and Koch, Levent and Gaj, Marcel}, editor={Fuchs-Kittkowski, Frank and Abecker, Andreas  and Hosenfeld, Friedhelm  and Reineke, Anja and Möller, Matthias and SpringerEditors}, year={2025} }","alphadin":"<span style=\"font-variant:small-caps;\">Behrens, Grit</span> ; <span style=\"font-variant:small-caps;\">Marten, Daniel</span> ; <span style=\"font-variant:small-caps;\">Koch, Levent</span> ; <span style=\"font-variant:small-caps;\">Gaj, Marcel</span>: Prognose von Pegelständen mit Methoden des Maschinellen Lernens und frei verfügbaren Daten. In: <span style=\"font-variant:small-caps;\">Fuchs-Kittkowski, F.</span> ; <span style=\"font-variant:small-caps;\">Abecker, A.</span> ; <span style=\"font-variant:small-caps;\">Hosenfeld, F.</span> ; <span style=\"font-variant:small-caps;\">Reineke, A.</span> ; <span style=\"font-variant:small-caps;\">Möller, M.</span> ; <span style=\"font-variant:small-caps;\">Springer</span> (Hrsg.): <i>Umweltinformationssysteme - Digitalisierung für eine nachhaltige Planetare Zukunft/ Tagungsband des 31. Workshops „Umweltinformationssysteme (UIS 2024)“ der Fachgruppe „Umweltinformationssysteme“ der Gesellschaft für Informatik (GI)</i>. Berlin : Springer Fachmedien Wiesbaden; Springer Vieweg , 2025","ieee":"G. Behrens, D. Marten, L. Koch, and M. Gaj, “Prognose von Pegelständen mit Methoden des Maschinellen Lernens und frei verfügbaren Daten,” in <i>Umweltinformationssysteme - Digitalisierung für eine nachhaltige Planetare Zukunft/ Tagungsband des 31. Workshops “Umweltinformationssysteme (UIS 2024)” der Fachgruppe “Umweltinformationssysteme” der Gesellschaft für Informatik (GI)</i>, Uni Bamberg, 2025."},"place":"Berlin"},{"conference":{"start_date":"2025-02-25","end_date":"2025-02-26","name":"1. All-Sky Imager Workshop","location":"Rosenheim"},"status":"public","author":[{"first_name":"Grit","id":"207629","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0009-0247-8204/work/179142211","last_name":"Behrens","orcid":"0009-0009-0247-8204","full_name":"Behrens, Grit"},{"full_name":"Ribouh, Yassine","last_name":"Ribouh","first_name":"Yassine"},{"first_name":"Naoufal","full_name":"El Atmioui, Naoufal","last_name":"El Atmioui"}],"citation":{"ieee":"G. Behrens, Y. Ribouh, and N. El Atmioui, “Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images,” presented at the 1. All-Sky Imager Workshop, Rosenheim, 2025.","alphadin":"<span style=\"font-variant:small-caps;\">Behrens, Grit</span> ; <span style=\"font-variant:small-caps;\">Ribouh, Yassine</span> ; <span style=\"font-variant:small-caps;\">El Atmioui, Naoufal</span>: Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images. In: , 2025","apa":"Behrens, G., Ribouh, Y., &#38; El Atmioui, N. (2025). Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images. Presented at the 1. All-Sky Imager Workshop, Rosenheim.","bibtex":"@inproceedings{Behrens_Ribouh_El Atmioui_2025, title={Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images}, author={Behrens, Grit and Ribouh, Yassine and El Atmioui, Naoufal}, year={2025} }","short":"G. Behrens, Y. Ribouh, N. El Atmioui, in: 2025.","chicago":"Behrens, Grit, Yassine Ribouh, and Naoufal El Atmioui. “Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images,” 2025.","mla":"Behrens, Grit, et al. <i>Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images</i>. 2025.","ama":"Behrens G, Ribouh Y, El Atmioui N. Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images. In: ; 2025."},"date_updated":"2026-03-17T15:29:22Z","title":"Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images","date_created":"2025-02-28T17:57:31Z","user_id":"220548","language":[{"iso":"eng"}],"type":"conference","year":"2025","_id":"5774"},{"quality_controlled":"1","author":[{"first_name":"Grit","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0009-0247-8204/work/179142743","id":"207629","last_name":"Behrens","orcid":"0009-0009-0247-8204","full_name":"Behrens, Grit"},{"full_name":"Ribouh, Yassine","last_name":"Ribouh","first_name":"Yassine"},{"first_name":"Naoufal","full_name":"El Atmioui, Naoufal","last_name":"El Atmioui"},{"first_name":"Alexander","last_name":"Kruse","full_name":"Kruse, Alexander"}],"citation":{"bibtex":"@inproceedings{Behrens_Ribouh_El Atmioui_Kruse_2025, title={Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images and based on Machine Learning  Techniques }, author={Behrens, Grit and Ribouh, Yassine and El Atmioui, Naoufal and Kruse, Alexander}, year={2025} }","apa":"Behrens, G., Ribouh, Y., El Atmioui, N., &#38; Kruse, A. (2025). Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images and based on Machine Learning  Techniques . Presented at the ICRES - International Conference on Renewable Energy Systems with focus on Solar Energy , Thessaloniki .","alphadin":"<span style=\"font-variant:small-caps;\">Behrens, Grit</span> ; <span style=\"font-variant:small-caps;\">Ribouh, Yassine</span> ; <span style=\"font-variant:small-caps;\">El Atmioui, Naoufal</span> ; <span style=\"font-variant:small-caps;\">Kruse, Alexander</span>: Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images and based on Machine Learning  Techniques . In: , 2025","ieee":"G. Behrens, Y. Ribouh, N. El Atmioui, and A. Kruse, “Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images and based on Machine Learning  Techniques ,” presented at the ICRES - International Conference on Renewable Energy Systems with focus on Solar Energy , Thessaloniki , 2025.","ama":"Behrens G, Ribouh Y, El Atmioui N, Kruse A. Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images and based on Machine Learning  Techniques . In: ; 2025.","mla":"Behrens, Grit, et al. <i>Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images and Based on Machine Learning  Techniques </i>. 2025.","short":"G. Behrens, Y. Ribouh, N. El Atmioui, A. Kruse, in: 2025.","chicago":"Behrens, Grit, Yassine Ribouh, Naoufal El Atmioui, and Alexander Kruse. “Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images and Based on Machine Learning  Techniques ,” 2025."},"conference":{"location":"Thessaloniki ","name":"ICRES - International Conference on Renewable Energy Systems with focus on Solar Energy ","end_date":"2025-04-11","start_date":"2025-04-09"},"status":"public","title":"Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images and based on Machine Learning  Techniques ","date_created":"2025-02-28T18:04:38Z","date_updated":"2026-03-17T15:29:22Z","type":"conference","year":"2025","_id":"5775","user_id":"220548","language":[{"iso":"eng"}]},{"quality_controlled":"1","citation":{"chicago":"Behrens, Grit, and Patrick  Poppe. “Potenzial Und Konzept Zu Einem System Zu Handlungsbasierten Energieeinsparungen an Holzbearbeitenden Maschinen,” 2024.","short":"G. Behrens, P. Poppe, in: 2024.","mla":"Behrens, Grit, and Patrick Poppe. <i>Potenzial Und Konzept Zu Einem System Zu Handlungsbasierten Energieeinsparungen an Holzbearbeitenden Maschinen</i>. 2024.","ama":"Behrens G, Poppe P. Potenzial und Konzept zu einem System zu handlungsbasierten Energieeinsparungen an holzbearbeitenden Maschinen. In: ; 2024.","ieee":"G. Behrens and P. Poppe, “Potenzial und Konzept zu einem System zu handlungsbasierten Energieeinsparungen an holzbearbeitenden Maschinen,” presented at the 31. Workshop der Fachgruppe 4.6.4 der Gesellschaft für Informatik, Bamberg, 2024.","alphadin":"<span style=\"font-variant:small-caps;\">Behrens, Grit</span> ; <span style=\"font-variant:small-caps;\">Poppe, Patrick </span>: Potenzial und Konzept zu einem System zu handlungsbasierten Energieeinsparungen an holzbearbeitenden Maschinen. In: , 2024","bibtex":"@inproceedings{Behrens_Poppe_2024, title={Potenzial und Konzept zu einem System zu handlungsbasierten Energieeinsparungen an holzbearbeitenden Maschinen}, author={Behrens, Grit and Poppe, Patrick }, year={2024} }","apa":"Behrens, G., &#38; Poppe, P. (2024). Potenzial und Konzept zu einem System zu handlungsbasierten Energieeinsparungen an holzbearbeitenden Maschinen. Presented at the 31. Workshop der Fachgruppe 4.6.4 der Gesellschaft für Informatik, Bamberg."},"author":[{"last_name":"Behrens","full_name":"Behrens, Grit","orcid":"0009-0009-0247-8204","id":"207629","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0009-0247-8204/work/179141259","first_name":"Grit"},{"full_name":"Poppe, Patrick ","last_name":"Poppe","first_name":"Patrick "}],"conference":{"location":"Bamberg","name":"31. Workshop der Fachgruppe 4.6.4 der Gesellschaft für Informatik","end_date":"2024-04-12","start_date":"2024-04-10"},"status":"public","title":"Potenzial und Konzept zu einem System zu handlungsbasierten Energieeinsparungen an holzbearbeitenden Maschinen","date_created":"2025-02-28T17:39:09Z","date_updated":"2026-03-17T15:29:22Z","type":"conference","year":"2024","_id":"5773","user_id":"220548","language":[{"iso":"eng"}]},{"language":[{"iso":"eng"}],"editor":[{"first_name":"Marcus ","full_name":"Rennhofer, Marcus ","last_name":"Rennhofer"}],"_id":"5067","year":"2024","date_updated":"2026-03-17T15:29:13Z","publisher":"TIB Open Publishing","doi":"10.52825/pv-symposium.v1i","intvolume":"         1","status":"public","conference":{"location":"Bad Staffelstein ","name":"39. PV-Symposium 2024","end_date":"2024-02-29","start_date":"2024-02-27"},"author":[{"first_name":"Grit","id":"207629","orcid":"0009-0009-0247-8204","full_name":"Behrens, Grit","last_name":"Behrens"},{"full_name":"Boschert, Andreas ","last_name":"Boschert","first_name":"Andreas "},{"last_name":"Zehner","full_name":"Zehner, Mike ","first_name":"Mike "},{"last_name":"Theiß","full_name":"Theiß, Niklas","first_name":"Niklas"}],"citation":{"bibtex":"@inproceedings{Behrens_Boschert_Zehner_Theiß_2024, title={Cloud Segmetation and Matching using Deep Learning in All-Sky Images}, volume={1}, DOI={<a href=\"https://doi.org/10.52825/pv-symposium.v1i\">10.52825/pv-symposium.v1i</a>}, booktitle={PV-Symposium Proceedings}, publisher={TIB Open Publishing}, author={Behrens, Grit and Boschert, Andreas  and Zehner, Mike  and Theiß, Niklas}, editor={Rennhofer, Marcus  and TIP Hannover Editors}, year={2024} }","apa":"Behrens, G., Boschert, A., Zehner, M., &#38; Theiß, N. (2024). Cloud Segmetation and Matching using Deep Learning in All-Sky Images. In M. Rennhofer &#38; TIP Hannover  (Eds.), <i>PV-Symposium Proceedings</i> (Vol. 1). Bad Staffelstein : TIB Open Publishing. <a href=\"https://doi.org/10.52825/pv-symposium.v1i\">https://doi.org/10.52825/pv-symposium.v1i</a>","alphadin":"<span style=\"font-variant:small-caps;\">Behrens, Grit</span> ; <span style=\"font-variant:small-caps;\">Boschert, Andreas </span> ; <span style=\"font-variant:small-caps;\">Zehner, Mike </span> ; <span style=\"font-variant:small-caps;\">Theiß, Niklas</span>: Cloud Segmetation and Matching using Deep Learning in All-Sky Images. In: <span style=\"font-variant:small-caps;\">Rennhofer, M.</span> ; <span style=\"font-variant:small-caps;\">TIP Hannover </span> (Hrsg.): <i>PV-Symposium Proceedings</i>. Bd. 1 : TIB Open Publishing, 2024","ieee":"G. Behrens, A. Boschert, M. Zehner, and N. Theiß, “Cloud Segmetation and Matching using Deep Learning in All-Sky Images,” in <i>PV-Symposium Proceedings</i>, Bad Staffelstein , 2024, vol. 1.","ama":"Behrens G, Boschert A, Zehner M, Theiß N. Cloud Segmetation and Matching using Deep Learning in All-Sky Images. In: Rennhofer M, TIP Hannover , eds. <i>PV-Symposium Proceedings</i>. Vol 1. TIB Open Publishing; 2024. doi:<a href=\"https://doi.org/10.52825/pv-symposium.v1i\">10.52825/pv-symposium.v1i</a>","mla":"Behrens, Grit, et al. “Cloud Segmetation and Matching Using Deep Learning in All-Sky Images.” <i>PV-Symposium Proceedings</i>, edited by Marcus  Rennhofer and TIP Hannover , vol. 1, TIB Open Publishing, 2024, doi:<a href=\"https://doi.org/10.52825/pv-symposium.v1i\">10.52825/pv-symposium.v1i</a>.","short":"G. Behrens, A. Boschert, M. Zehner, N. Theiß, in: M. Rennhofer, TIP Hannover  (Eds.), PV-Symposium Proceedings, TIB Open Publishing, 2024.","chicago":"Behrens, Grit, Andreas  Boschert, Mike  Zehner, and Niklas Theiß. “Cloud Segmetation and Matching Using Deep Learning in All-Sky Images.” In <i>PV-Symposium Proceedings</i>, edited by Marcus  Rennhofer and TIP Hannover , Vol. 1. TIB Open Publishing, 2024. <a href=\"https://doi.org/10.52825/pv-symposium.v1i\">https://doi.org/10.52825/pv-symposium.v1i</a>."},"publication":"PV-Symposium Proceedings","publication_status":"published","corporate_editor":["TIP Hannover "],"extern":"1","user_id":"220548","publication_identifier":{"eissn":["2942-8246"]},"type":"conference","volume":1,"date_created":"2024-10-24T14:37:36Z","title":"Cloud Segmetation and Matching using Deep Learning in All-Sky Images","quality_controlled":"1"},{"language":[{"iso":"eng"}],"_id":"5068","year":"2024","date_updated":"2026-03-17T15:29:13Z","status":"public","conference":{"location":"Wien ","name":"41. European Photovoltaic Solar Energy Conference and Exhibition","start_date":"2024-09-23","end_date":"2024-09-27"},"author":[{"id":"207629","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0009-0247-8204/work/170242630","first_name":"Grit","full_name":"Behrens, Grit","orcid":"0009-0009-0247-8204","last_name":"Behrens"},{"first_name":"Andreas","last_name":"Boschert","full_name":"Boschert, Andreas"},{"first_name":"Alexander ","last_name":"Kruse","full_name":"Kruse, Alexander "},{"full_name":"Zehner, Mike","last_name":"Zehner","first_name":"Mike"},{"last_name":"Fehring","orcid":"0009-0005-4638-2942","full_name":"Fehring, Florian","first_name":"Florian","id":"215018","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0005-4638-2942/work/170303313"},{"first_name":"Christian ","last_name":"Kurz","full_name":"Kurz, Christian "},{"last_name":"Rascher","full_name":"Rascher, Michele ","first_name":"Michele "},{"full_name":"Anneser, Katrin ","last_name":"Anneser","first_name":"Katrin "}],"citation":{"chicago":"Behrens, Grit, Andreas Boschert, Alexander  Kruse, Mike Zehner, Florian Fehring, Christian  Kurz, Michele  Rascher, and Katrin  Anneser. “Enhancing Photovoltaic Power Forecasting Accuracy with a Network of All-Sky Imagers and Meteorological Sensors Deployed in a PV Test Field.” In <i>EUPVSEC 2024</i>, 2024.","short":"G. Behrens, A. Boschert, A. Kruse, M. Zehner, F. Fehring, C. Kurz, M. Rascher, K. Anneser, in: EUPVSEC 2024, 2024.","mla":"Behrens, Grit, et al. “Enhancing Photovoltaic Power Forecasting Accuracy with a Network of All-Sky Imagers and Meteorological Sensors Deployed in a PV Test Field.” <i>EUPVSEC 2024</i>, 2024.","ama":"Behrens G, Boschert A, Kruse A, et al. Enhancing Photovoltaic Power Forecasting Accuracy with a Network of All-Sky Imagers and Meteorological Sensors Deployed in a PV Test Field. In: <i>EUPVSEC 2024</i>. ; 2024.","ieee":"G. Behrens <i>et al.</i>, “Enhancing Photovoltaic Power Forecasting Accuracy with a Network of All-Sky Imagers and Meteorological Sensors Deployed in a PV Test Field,” in <i>EUPVSEC 2024</i>, Wien , 2024.","alphadin":"<span style=\"font-variant:small-caps;\">Behrens, Grit</span> ; <span style=\"font-variant:small-caps;\">Boschert, Andreas</span> ; <span style=\"font-variant:small-caps;\">Kruse, Alexander </span> ; <span style=\"font-variant:small-caps;\">Zehner, Mike</span> ; <span style=\"font-variant:small-caps;\">Fehring, Florian</span> ; <span style=\"font-variant:small-caps;\">Kurz, Christian </span> ; <span style=\"font-variant:small-caps;\">Rascher, Michele </span> ; <span style=\"font-variant:small-caps;\">Anneser, Katrin </span>: Enhancing Photovoltaic Power Forecasting Accuracy with a Network of All-Sky Imagers and Meteorological Sensors Deployed in a PV Test Field. In: <i>EUPVSEC 2024</i>, 2024","apa":"Behrens, G., Boschert, A., Kruse, A., Zehner, M., Fehring, F., Kurz, C., … Anneser, K. (2024). Enhancing Photovoltaic Power Forecasting Accuracy with a Network of All-Sky Imagers and Meteorological Sensors Deployed in a PV Test Field. In <i>EUPVSEC 2024</i>. Wien .","bibtex":"@inproceedings{Behrens_Boschert_Kruse_Zehner_Fehring_Kurz_Rascher_Anneser_2024, title={Enhancing Photovoltaic Power Forecasting Accuracy with a Network of All-Sky Imagers and Meteorological Sensors Deployed in a PV Test Field}, booktitle={EUPVSEC 2024}, author={Behrens, Grit and Boschert, Andreas and Kruse, Alexander  and Zehner, Mike and Fehring, Florian and Kurz, Christian  and Rascher, Michele  and Anneser, Katrin }, year={2024} }"},"publication":"EUPVSEC 2024","user_id":"220548","type":"conference","date_created":"2024-10-24T14:44:26Z","title":"Enhancing Photovoltaic Power Forecasting Accuracy with a Network of All-Sky Imagers and Meteorological Sensors Deployed in a PV Test Field","department":[{"_id":"102"}],"quality_controlled":"1"},{"date_updated":"2026-03-17T15:29:13Z","status":"public","conference":{"end_date":"2024-11-14","start_date":"2024-11-12","name":"ENVIROINFO - Europäische Konferenz für Umweltinformatik","location":"Cairo"},"author":[{"last_name":"Behrens","full_name":"Behrens, Grit","orcid":"0009-0009-0247-8204","id":"207629","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0009-0247-8204/work/170242625","first_name":"Grit"},{"first_name":"Andreas","full_name":"Boschert, Andreas","last_name":"Boschert"},{"first_name":"Alexander ","full_name":"Kruse, Alexander ","last_name":"Kruse"},{"last_name":"Zehner","full_name":"Zehner, Mike ","first_name":"Mike "},{"first_name":"Martin ","full_name":"Heigl, Martin ","last_name":"Heigl"}],"citation":{"mla":"Behrens, Grit, et al. <i>Helios: Introducing a Project for Forecasting Yields Using a Small Network of All-Sky Imagers and Meteorological Sensors</i>.","ama":"Behrens G, Boschert A, Kruse A, Zehner M, Heigl M. Helios: Introducing a Project for Forecasting Yields using a Small Network of All-Sky Imagers and Meteorological Sensors.","short":"G. Behrens, A. Boschert, A. Kruse, M. Zehner, M. Heigl, (n.d.).","chicago":"Behrens, Grit, Andreas Boschert, Alexander  Kruse, Mike  Zehner, and Martin  Heigl. “Helios: Introducing a Project for Forecasting Yields Using a Small Network of All-Sky Imagers and Meteorological Sensors.” Lecture Notes of Informatics . Berlin, n.d.","alphadin":"<span style=\"font-variant:small-caps;\">Behrens, Grit</span> ; <span style=\"font-variant:small-caps;\">Boschert, Andreas</span> ; <span style=\"font-variant:small-caps;\">Kruse, Alexander </span> ; <span style=\"font-variant:small-caps;\">Zehner, Mike </span> ; <span style=\"font-variant:small-caps;\">Heigl, Martin </span>: Helios: Introducing a Project for Forecasting Yields using a Small Network of All-Sky Imagers and Meteorological Sensors. In: , <i>Lecture Notes of Informatics </i>. Berlin","bibtex":"@article{Behrens_Boschert_Kruse_Zehner_Heigl, place={Berlin}, series={Lecture Notes of Informatics }, title={Helios: Introducing a Project for Forecasting Yields using a Small Network of All-Sky Imagers and Meteorological Sensors}, author={Behrens, Grit and Boschert, Andreas and Kruse, Alexander  and Zehner, Mike  and Heigl, Martin }, collection={Lecture Notes of Informatics } }","apa":"Behrens, G., Boschert, A., Kruse, A., Zehner, M., &#38; Heigl, M. (n.d.). Helios: Introducing a Project for Forecasting Yields using a Small Network of All-Sky Imagers and Meteorological Sensors. Presented at the ENVIROINFO - Europäische Konferenz für Umweltinformatik, Berlin.","ieee":"G. Behrens, A. Boschert, A. Kruse, M. Zehner, and M. Heigl, “Helios: Introducing a Project for Forecasting Yields using a Small Network of All-Sky Imagers and Meteorological Sensors.” Berlin."},"place":"Berlin","language":[{"iso":"eng"}],"_id":"5069","year":"2024","date_created":"2024-10-24T14:50:41Z","title":"Helios: Introducing a Project for Forecasting Yields using a Small Network of All-Sky Imagers and Meteorological Sensors","department":[{"_id":"102"}],"publication_status":"accepted","series_title":"Lecture Notes of Informatics ","user_id":"220548","type":"conference"},{"corporate_editor":["Gesellschaft für Informatik"],"user_id":"220548","type":"conference","publication_status":"accepted","series_title":"Lecture Notes of Informatics","department":[{"_id":"102"}],"quality_controlled":"1","date_created":"2024-10-24T14:54:41Z","title":"Large Language Modeling Method to Support the Analysis of Environmental, Social , and Governance Reporting E-metrics","language":[{"iso":"eng"}],"_id":"5070","year":"2024","status":"public","conference":{"start_date":"2024-11-12","end_date":"2024-11-14","location":"Kairo","name":"ENVIROINFO - Europäische Konferenz für Umweltinformatik"},"citation":{"alphadin":"<span style=\"font-variant:small-caps;\">Behrens, Grit</span>: Large Language Modeling Method to Support the Analysis of Environmental, Social , and Governance Reporting E-metrics. In: <span style=\"font-variant:small-caps;\">Gesellschaft für Informatik</span> (Hrsg.) , <i>Lecture Notes of Informatics</i>. Berlin","apa":"Behrens, G. (n.d.). Large Language Modeling Method to Support the Analysis of Environmental, Social , and Governance Reporting E-metrics. (Gesellschaft für Informatik, Ed.). Presented at the ENVIROINFO - Europäische Konferenz für Umweltinformatik, Berlin.","bibtex":"@article{Behrens, place={Berlin}, series={Lecture Notes of Informatics}, title={Large Language Modeling Method to Support the Analysis of Environmental, Social , and Governance Reporting E-metrics}, author={Behrens, Grit}, editor={Gesellschaft für InformatikEditor}, collection={Lecture Notes of Informatics} }","ieee":"G. Behrens, “Large Language Modeling Method to Support the Analysis of Environmental, Social , and Governance Reporting E-metrics.” Berlin.","mla":"Behrens, Grit. <i>Large Language Modeling Method to Support the Analysis of Environmental, Social , and Governance Reporting E-Metrics</i>. Edited by Gesellschaft für Informatik.","ama":"Behrens G. Large Language Modeling Method to Support the Analysis of Environmental, Social , and Governance Reporting E-metrics. Gesellschaft für Informatik, ed.","chicago":"Behrens, Grit. “Large Language Modeling Method to Support the Analysis of Environmental, Social , and Governance Reporting E-Metrics.” Edited by Gesellschaft für Informatik. Lecture Notes of Informatics. Berlin, n.d.","short":"G. Behrens, (n.d.)."},"author":[{"first_name":"Grit","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0009-0247-8204/work/170242606","id":"207629","last_name":"Behrens","orcid":"0009-0009-0247-8204","full_name":"Behrens, Grit"}],"place":"Berlin","date_updated":"2026-03-17T15:29:13Z"},{"publication_status":"accepted","type":"conference_abstract","user_id":"207629","date_created":"2024-10-24T14:58:36Z","title":"Posterbeitrag: Advancing Corrosion Foeecasting Through Empirical And Simulated Data Integration","quality_controlled":"1","department":[{"_id":"102"}],"alternative_title":["Advancing Corrosion Foeecasting Through Empirical And Simulated Data Integration"],"_id":"5071","year":"2024","language":[{"iso":"eng"}],"date_updated":"2026-03-17T15:29:13Z","author":[{"first_name":"Grit","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0009-0247-8204/work/170242619","id":"207629","last_name":"Behrens","orcid":"0009-0009-0247-8204","full_name":"Behrens, Grit"},{"first_name":"Sarah ","full_name":"Flohr, Sarah ","last_name":"Flohr"},{"full_name":"Worms, Svea","last_name":"Worms","first_name":"Svea"}],"citation":{"ieee":"G. Behrens, S. Flohr, and S. Worms, “Posterbeitrag: Advancing Corrosion Foeecasting Through Empirical And Simulated Data Integration,” presented at the ENVIROINFO - Europäische Konferenz für Umweltinformatik, Kairo.","bibtex":"@inproceedings{Behrens_Flohr_Worms, title={Posterbeitrag: Advancing Corrosion Foeecasting Through Empirical And Simulated Data Integration}, author={Behrens, Grit and Flohr, Sarah  and Worms, Svea} }","apa":"Behrens, G., Flohr, S., &#38; Worms, S. (n.d.). Posterbeitrag: Advancing Corrosion Foeecasting Through Empirical And Simulated Data Integration. Presented at the ENVIROINFO - Europäische Konferenz für Umweltinformatik, Kairo.","alphadin":"<span style=\"font-variant:small-caps;\">Behrens, Grit</span> ; <span style=\"font-variant:small-caps;\">Flohr, Sarah </span> ; <span style=\"font-variant:small-caps;\">Worms, Svea</span>: Posterbeitrag: Advancing Corrosion Foeecasting Through Empirical And Simulated Data Integration. In:","short":"G. Behrens, S. Flohr, S. Worms, in: n.d.","chicago":"Behrens, Grit, Sarah  Flohr, and Svea Worms. “Posterbeitrag: Advancing Corrosion Foeecasting Through Empirical And Simulated Data Integration,” n.d.","ama":"Behrens G, Flohr S, Worms S. Posterbeitrag: Advancing Corrosion Foeecasting Through Empirical And Simulated Data Integration.","mla":"Behrens, Grit, et al. <i>Posterbeitrag: Advancing Corrosion Foeecasting Through Empirical And Simulated Data Integration</i>."},"status":"public","conference":{"end_date":"2024-11-14","start_date":"2024-11-12","location":"Kairo","name":"ENVIROINFO - Europäische Konferenz für Umweltinformatik"}},{"doi":"10125/106409","page":"288-297","date_updated":"2026-03-17T15:29:00Z","citation":{"ieee":"G. Behrens, K. Karaztas, and C. Orlowski, “Business Intelligence Fog IoT node development model for Big Data processing of air quality in scientific partnerships,” in <i>57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024</i>, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, 2024, pp. 288–297.","apa":"Behrens, G., Karaztas, K., &#38; Orlowski, C. (2024). Business Intelligence Fog IoT node development model for Big Data processing of air quality in scientific partnerships. In T. X. Bui &#38; ScholarSpace (Eds.), <i>57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024</i> (pp. 288–297). Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA. <a href=\"https://doi.org/10125/106409\">https://doi.org/10125/106409</a>","bibtex":"@inproceedings{Behrens_Karaztas_Orlowski_2024, series={dblp computer science bibliography}, title={Business Intelligence Fog IoT node development model for Big Data processing of air quality in scientific partnerships}, DOI={<a href=\"https://doi.org/10125/106409\">10125/106409</a>}, booktitle={57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024}, author={Behrens, Grit and Karaztas, Kostans  and Orlowski, Cezary }, editor={Bui, Tung X.  and ScholarSpaceEditors}, year={2024}, pages={288–297}, collection={dblp computer science bibliography} }","alphadin":"<span style=\"font-variant:small-caps;\">Behrens, Grit</span> ; <span style=\"font-variant:small-caps;\">Karaztas, Kostans </span> ; <span style=\"font-variant:small-caps;\">Orlowski, Cezary </span>: Business Intelligence Fog IoT node development model for Big Data processing of air quality in scientific partnerships. In: <span style=\"font-variant:small-caps;\">Bui, T. X.</span> ; <span style=\"font-variant:small-caps;\">ScholarSpace</span> (Hrsg.): <i>57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024</i>, <i>dblp computer science bibliography</i>, 2024, S. 288–297","chicago":"Behrens, Grit, Kostans  Karaztas, and Cezary  Orlowski. “Business Intelligence Fog IoT Node Development Model for Big Data Processing of Air Quality in Scientific Partnerships.” In <i>57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024</i>, edited by Tung X.  Bui and ScholarSpace, 288–97. Dblp Computer Science Bibliography, 2024. <a href=\"https://doi.org/10125/106409\">https://doi.org/10125/106409</a>.","short":"G. Behrens, K. Karaztas, C. Orlowski, in: T.X. Bui, ScholarSpace (Eds.), 57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024, 2024, pp. 288–297.","ama":"Behrens G, Karaztas K, Orlowski C. Business Intelligence Fog IoT node development model for Big Data processing of air quality in scientific partnerships. In: Bui TX, ScholarSpace, eds. <i>57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024</i>. dblp computer science bibliography. ; 2024:288-297. doi:<a href=\"https://doi.org/10125/106409\">10125/106409</a>","mla":"Behrens, Grit, et al. “Business Intelligence Fog IoT Node Development Model for Big Data Processing of Air Quality in Scientific Partnerships.” <i>57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024</i>, edited by Tung X.  Bui and ScholarSpace, 2024, pp. 288–97, doi:<a href=\"https://doi.org/10125/106409\">10125/106409</a>."},"author":[{"first_name":"Grit","id":"207629","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0009-0247-8204/work/156454414","orcid":"0009-0009-0247-8204","full_name":"Behrens, Grit","last_name":"Behrens"},{"first_name":"Kostans ","full_name":"Karaztas, Kostans ","last_name":"Karaztas"},{"full_name":"Orlowski, Cezary ","last_name":"Orlowski","first_name":"Cezary "}],"conference":{"location":"Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA","name":"57th Hawaii International Conference on System Sciences","end_date":"2024-01-06","start_date":"2024-01-03"},"status":"public","year":"2024","_id":"4395","editor":[{"last_name":"Bui","full_name":"Bui, Tung X. ","first_name":"Tung X. "}],"language":[{"iso":"eng"}],"title":"Business Intelligence Fog IoT node development model for Big Data processing of air quality in scientific partnerships","date_created":"2024-03-18T17:25:30Z","department":[{"_id":"102"}],"series_title":"dblp computer science bibliography","publication":"57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024","publication_status":"published","type":"conference","publication_identifier":{"isbn":["978-0-9981331-7-1"]},"project":[{"name":"Institute for Data Science Solutions","_id":"f432a2ee-bceb-11ed-a251-a83585c5074d"}],"user_id":"237837","corporate_editor":["ScholarSpace"]},{"date_created":"2024-03-18T17:55:57Z","title":"Commonalities and Differences in ML-Pipelines for Air Quality Systems","quality_controlled":"1","publication_status":"published","publication":"Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society","series_title":"Progress in IS","publication_identifier":{"eissn":["2196-8713"],"isbn":["978-3-031-46901-5"],"eisbn":["978-3-031-46902-2"],"issn":["2196-8705"]},"type":"book_chapter","user_id":"237837","doi":"10.1007/978-3-031-46902-2_2","date_updated":"2026-03-17T15:29:00Z","publisher":"Springer Nature Switzerland","page":"21-37","author":[{"first_name":"Cezary","last_name":"Orlowski","full_name":"Orlowski, Cezary"},{"full_name":"Behrens, Grit","orcid":"0009-0009-0247-8204","last_name":"Behrens","id":"207629","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0009-0247-8204/work/156454416","first_name":"Grit"},{"first_name":"Kostas","full_name":"Karatzas, Kostas","last_name":"Karatzas"}],"citation":{"ama":"Orlowski C, Behrens G, Karatzas K. Commonalities and Differences in ML-Pipelines for Air Quality Systems. In: Wohlgemuth V, Kranzlmüller D, Höb M, eds. <i>Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society</i>. Progress in IS. Cham: Springer Nature Switzerland; 2024:21-37. doi:<a href=\"https://doi.org/10.1007/978-3-031-46902-2_2\">10.1007/978-3-031-46902-2_2</a>","mla":"Orlowski, Cezary, et al. “Commonalities and Differences in ML-Pipelines for Air Quality Systems.” <i>Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society</i>, edited by Volker Wohlgemuth et al., Springer Nature Switzerland, 2024, pp. 21–37, doi:<a href=\"https://doi.org/10.1007/978-3-031-46902-2_2\">10.1007/978-3-031-46902-2_2</a>.","short":"C. Orlowski, G. Behrens, K. Karatzas, in: V. Wohlgemuth, D. Kranzlmüller, M. Höb (Eds.), Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society, Springer Nature Switzerland, Cham, 2024, pp. 21–37.","chicago":"Orlowski, Cezary, Grit Behrens, and Kostas Karatzas. “Commonalities and Differences in ML-Pipelines for Air Quality Systems.” In <i>Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society</i>, edited by Volker Wohlgemuth, Dieter Kranzlmüller, and Maximilian Höb, 21–37. Progress in IS. Cham: Springer Nature Switzerland, 2024. <a href=\"https://doi.org/10.1007/978-3-031-46902-2_2\">https://doi.org/10.1007/978-3-031-46902-2_2</a>.","bibtex":"@inbook{Orlowski_Behrens_Karatzas_2024, place={Cham}, series={Progress in IS}, title={Commonalities and Differences in ML-Pipelines for Air Quality Systems}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-46902-2_2\">10.1007/978-3-031-46902-2_2</a>}, booktitle={Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society}, publisher={Springer Nature Switzerland}, author={Orlowski, Cezary and Behrens, Grit and Karatzas, Kostas}, editor={Wohlgemuth, Volker and Kranzlmüller, Dieter and Höb, MaximilianEditors}, year={2024}, pages={21–37}, collection={Progress in IS} }","apa":"Orlowski, C., Behrens, G., &#38; Karatzas, K. (2024). Commonalities and Differences in ML-Pipelines for Air Quality Systems. In V. Wohlgemuth, D. Kranzlmüller, &#38; M. Höb (Eds.), <i>Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society</i> (pp. 21–37). Cham: Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-46902-2_2\">https://doi.org/10.1007/978-3-031-46902-2_2</a>","alphadin":"<span style=\"font-variant:small-caps;\">Orlowski, Cezary</span> ; <span style=\"font-variant:small-caps;\">Behrens, Grit</span> ; <span style=\"font-variant:small-caps;\">Karatzas, Kostas</span>: Commonalities and Differences in ML-Pipelines for Air Quality Systems. In: <span style=\"font-variant:small-caps;\">Wohlgemuth, V.</span> ; <span style=\"font-variant:small-caps;\">Kranzlmüller, D.</span> ; <span style=\"font-variant:small-caps;\">Höb, M.</span> (Hrsg.): <i>Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society</i>, <i>Progress in IS</i>. Cham : Springer Nature Switzerland, 2024, S. 21–37","ieee":"C. Orlowski, G. Behrens, and K. Karatzas, “Commonalities and Differences in ML-Pipelines for Air Quality Systems,” in <i>Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society</i>, V. Wohlgemuth, D. Kranzlmüller, and M. Höb, Eds. Cham: Springer Nature Switzerland, 2024, pp. 21–37."},"place":"Cham","status":"public","_id":"4397","editor":[{"last_name":"Wohlgemuth","full_name":"Wohlgemuth, Volker","first_name":"Volker"},{"first_name":"Dieter","full_name":"Kranzlmüller, Dieter","last_name":"Kranzlmüller"},{"first_name":"Maximilian","full_name":"Höb, Maximilian","last_name":"Höb"}],"year":"2024","language":[{"iso":"eng"}]},{"publication":"Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein","publication_status":"published","publication_identifier":{"isbn":["978-3-948176-25-9"]},"type":"conference","project":[{"name":"Adaptive Ertragsprognose mit data-Mining im PV-Feld auf Grundlage iener digitalen Signatur der PV-Module und der Systemkomponenten (PV digital 4.0)","_id":"A82B586E-C7DA-11E9-B0AE-1F4CB252D58D"}],"user_id":"231260","alternative_id":["5066"],"corporate_editor":["Conexio-PSE GmbH"],"title":"Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen","date_created":"2024-03-18T18:50:23Z","year":"2024","_id":"4399","language":[{"iso":"ger"}],"date_updated":"2026-03-17T15:29:00Z","place":"Pforzheim, Deutschland","citation":{"ieee":"G. Behrens, D. Hepp, S. Hempelmann, and W. Friedrich , “Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen,” in <i>Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein</i>, Kloster Banz, Bad Staffelstein, 2024.","bibtex":"@inproceedings{Behrens_Hepp_Hempelmann_Friedrich _2024, place={Pforzheim, Deutschland}, title={Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen}, booktitle={Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein}, author={Behrens, Grit and Hepp, Dennis and Hempelmann, Sebastian  and Friedrich , Werner }, editor={Conexio-PSE GmbHEditor}, year={2024} }","apa":"Behrens, G., Hepp, D., Hempelmann, S., &#38; Friedrich , W. (2024). Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen. In Conexio-PSE GmbH (Ed.), <i>Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein</i>. Pforzheim, Deutschland.","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>: Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen. In: <span style=\"font-variant:small-caps;\">Conexio-PSE GmbH</span> (Hrsg.): <i>Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein</i>. Pforzheim, Deutschland, 2024","chicago":"Behrens, Grit, Dennis Hepp, Sebastian  Hempelmann, and Werner  Friedrich . “Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen.” In <i>Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein</i>, edited by Conexio-PSE GmbH. Pforzheim, Deutschland, 2024.","short":"G. Behrens, D. Hepp, S. Hempelmann, W. Friedrich , in: Conexio-PSE GmbH (Ed.), Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein, Pforzheim, Deutschland, 2024.","ama":"Behrens G, Hepp D, Hempelmann S, Friedrich  W. Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen. In: Conexio-PSE GmbH, ed. <i>Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein</i>. Pforzheim, Deutschland; 2024.","mla":"Behrens, Grit, et al. “Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen.” <i>Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein</i>, edited by Conexio-PSE GmbH, 2024."},"author":[{"last_name":"Behrens","full_name":"Behrens, Grit","orcid":"0009-0009-0247-8204","id":"207629","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0009-0247-8204/work/156454420","first_name":"Grit"},{"full_name":"Hepp, Dennis","last_name":"Hepp","first_name":"Dennis"},{"full_name":"Hempelmann, Sebastian ","last_name":"Hempelmann","first_name":"Sebastian "},{"full_name":"Friedrich , Werner ","last_name":"Friedrich ","first_name":"Werner "}],"conference":{"end_date":"2024-02-29","start_date":"2024-02-27","name":"Photovoltaisches Symposium","location":"Kloster Banz, Bad Staffelstein"},"status":"public"},{"language":[{"iso":"ger"}],"_id":"4400","editor":[{"first_name":"Marcus ","full_name":"Rennhofer, Marcus ","last_name":"Rennhofer"}],"year":"2024","status":"public","conference":{"start_date":"2024-02-27","end_date":"2024-02-29","location":"Kloster Banz, Bad Staffelstein","name":"39. PV-Symposium"},"author":[{"first_name":"Grit","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0009-0247-8204/work/156454423","id":"207629","last_name":"Behrens","orcid":"0009-0009-0247-8204","full_name":"Behrens, Grit"},{"full_name":"Theis, Niklas","last_name":"Theis","first_name":"Niklas"},{"first_name":"Andreas ","full_name":"Boschert, Andreas ","last_name":"Boschert"},{"last_name":"Zehner","full_name":"Zehner, Mike","first_name":"Mike"}],"citation":{"short":"G. Behrens, N. Theis, A. Boschert, M. Zehner, in: M. Rennhofer, Conexio-PSE GmbH (Eds.), Tagungsunterlagen 39. PV-Symposium, Pforzheim, Deutschland, 2024.","chicago":"Behrens, Grit, Niklas Theis, Andreas  Boschert, and Mike Zehner. “Wolkensegementierung und -matching mit Deep Learning in All Sky Images.” In <i>Tagungsunterlagen 39. PV-Symposium</i>, edited by Marcus  Rennhofer and Conexio-PSE GmbH. Pforzheim, Deutschland, 2024.","mla":"Behrens, Grit, et al. “Wolkensegementierung und -matching mit Deep Learning in All Sky Images.” <i>Tagungsunterlagen 39. PV-Symposium</i>, edited by Marcus  Rennhofer and Conexio-PSE GmbH, 2024.","ama":"Behrens G, Theis N, Boschert A, Zehner M. Wolkensegementierung und -matching mit Deep Learning in All Sky Images. In: Rennhofer M, Conexio-PSE GmbH, eds. <i>Tagungsunterlagen 39. PV-Symposium</i>. Pforzheim, Deutschland; 2024.","ieee":"G. Behrens, N. Theis, A. Boschert, and M. Zehner, “Wolkensegementierung und -matching mit Deep Learning in All Sky Images,” in <i>Tagungsunterlagen 39. PV-Symposium</i>, Kloster Banz, Bad Staffelstein, 2024.","alphadin":"<span style=\"font-variant:small-caps;\">Behrens, Grit</span> ; <span style=\"font-variant:small-caps;\">Theis, Niklas</span> ; <span style=\"font-variant:small-caps;\">Boschert, Andreas </span> ; <span style=\"font-variant:small-caps;\">Zehner, Mike</span>: Wolkensegementierung und -matching mit Deep Learning in All Sky Images. In: <span style=\"font-variant:small-caps;\">Rennhofer, M.</span> ; <span style=\"font-variant:small-caps;\">Conexio-PSE GmbH</span> (Hrsg.): <i>Tagungsunterlagen 39. PV-Symposium</i>. Pforzheim, Deutschland, 2024","bibtex":"@inproceedings{Behrens_Theis_Boschert_Zehner_2024, place={Pforzheim, Deutschland}, title={Wolkensegementierung und -matching mit Deep Learning in All Sky Images}, booktitle={Tagungsunterlagen 39. PV-Symposium}, author={Behrens, Grit and Theis, Niklas and Boschert, Andreas  and Zehner, Mike}, editor={Rennhofer, Marcus  and Conexio-PSE GmbHEditors}, year={2024} }","apa":"Behrens, G., Theis, N., Boschert, A., &#38; Zehner, M. (2024). Wolkensegementierung und -matching mit Deep Learning in All Sky Images. In M. Rennhofer &#38; Conexio-PSE GmbH (Eds.), <i>Tagungsunterlagen 39. PV-Symposium</i>. Pforzheim, Deutschland."},"place":"Pforzheim, Deutschland","date_updated":"2026-03-17T15:29:00Z","corporate_editor":["Conexio-PSE GmbH"],"user_id":"207629","type":"conference","publication_identifier":{"isbn":["978-3-948176-25-9"]},"publication_status":"published","publication":"Tagungsunterlagen 39. PV-Symposium","department":[{"_id":"102"}],"quality_controlled":"1","date_created":"2024-03-18T18:54:49Z","title":"Wolkensegementierung und -matching mit Deep Learning in All Sky Images"},{"publication_status":"published","publication":"53. Jahrestagung der Gesellschaft für Informatik, {INFORMATIK} 2023, Designing Future - Zukünfte gestalten","corporate_editor":["Gesellschaft für Informatik"],"user_id":"237837","type":"conference","date_created":"2024-03-18T17:45:46Z","title":"Smartmonitoring - eine webbasierte Plattform für das Monitoring von Umweltdaten aus verschiedensten Schnittstellen und Sensoren zur Nutzung für studentische Projekte und Forschungsprototypen","external_id":{"unknown":["https://doi.org/10.18420/inf2023\\_135"]},"quality_controlled":"1","language":[{"iso":"ger"}],"_id":"4396","editor":[{"first_name":"Maike","last_name":"Klein","full_name":"Klein, Maike"},{"first_name":"Daniel ","full_name":"Krupka, Daniel ","last_name":"Krupka"},{"first_name":"Volker ","last_name":"Wohlgemuth","full_name":"Wohlgemuth, Volker "}],"year":"2023","date_updated":"2026-03-17T15:29:00Z","page":"1267-1276","publisher":"LNI","doi":"10.18420/inf2023_135","status":"public","conference":{"start_date":"2023-09-26","end_date":"2023-09-29","location":"Berlin ","name":"53. Jahrestagung der Gesellschaft für Informatik"},"citation":{"short":"G. Behrens, F. Fehring, J. Thiel, in: M. Klein, D. Krupka, V. Wohlgemuth, Gesellschaft für Informatik (Eds.), 53. Jahrestagung der Gesellschaft für Informatik, {INFORMATIK} 2023, Designing Future - Zukünfte gestalten, LNI, Bonn, 2023, pp. 1267–1276.","chicago":"Behrens, Grit, Florian Fehring, and Jannis Thiel. “Smartmonitoring - eine webbasierte Plattform für das Monitoring von Umweltdaten aus verschiedensten Schnittstellen und Sensoren zur Nutzung für studentische Projekte und Forschungsprototypen.” In <i>53. Jahrestagung der Gesellschaft für Informatik, {INFORMATIK} 2023, Designing Future - Zukünfte gestalten</i>, edited by Maike Klein, Daniel  Krupka, Volker  Wohlgemuth, and Gesellschaft für Informatik, 1267–76. Bonn: LNI, 2023. <a href=\"https://doi.org/10.18420/inf2023_135\">https://doi.org/10.18420/inf2023_135</a>.","mla":"Behrens, Grit, et al. “Smartmonitoring - eine webbasierte Plattform für das Monitoring von Umweltdaten aus verschiedensten Schnittstellen und Sensoren zur Nutzung für studentische Projekte und Forschungsprototypen.” <i>53. Jahrestagung der Gesellschaft für Informatik, {INFORMATIK} 2023, Designing Future - Zukünfte gestalten</i>, edited by Maike Klein et al., LNI, 2023, pp. 1267–76, doi:<a href=\"https://doi.org/10.18420/inf2023_135\">10.18420/inf2023_135</a>.","ama":"Behrens G, Fehring F, Thiel J. Smartmonitoring - eine webbasierte Plattform für das Monitoring von Umweltdaten aus verschiedensten Schnittstellen und Sensoren zur Nutzung für studentische Projekte und Forschungsprototypen. In: Klein M, Krupka D, Wohlgemuth V, Gesellschaft für Informatik, eds. <i>53. Jahrestagung der Gesellschaft für Informatik, {INFORMATIK} 2023, Designing Future - Zukünfte gestalten</i>. Bonn: LNI; 2023:1267-1276. doi:<a href=\"https://doi.org/10.18420/inf2023_135\">10.18420/inf2023_135</a>","ieee":"G. Behrens, F. Fehring, and J. Thiel, “Smartmonitoring - eine webbasierte Plattform für das Monitoring von Umweltdaten aus verschiedensten Schnittstellen und Sensoren zur Nutzung für studentische Projekte und Forschungsprototypen,” in <i>53. Jahrestagung der Gesellschaft für Informatik, {INFORMATIK} 2023, Designing Future - Zukünfte gestalten</i>, Berlin , 2023, pp. 1267–1276.","alphadin":"<span style=\"font-variant:small-caps;\">Behrens, Grit</span> ; <span style=\"font-variant:small-caps;\">Fehring, Florian</span> ; <span style=\"font-variant:small-caps;\">Thiel, Jannis</span>: Smartmonitoring - eine webbasierte Plattform für das Monitoring von Umweltdaten aus verschiedensten Schnittstellen und Sensoren zur Nutzung für studentische Projekte und Forschungsprototypen. In: <span style=\"font-variant:small-caps;\">Klein, M.</span> ; <span style=\"font-variant:small-caps;\">Krupka, D.</span> ; <span style=\"font-variant:small-caps;\">Wohlgemuth, V.</span> ; <span style=\"font-variant:small-caps;\">Gesellschaft für Informatik</span> (Hrsg.): <i>53. Jahrestagung der Gesellschaft für Informatik, {INFORMATIK} 2023, Designing Future - Zukünfte gestalten</i>. Bonn : LNI, 2023, S. 1267–1276","apa":"Behrens, G., Fehring, F., &#38; Thiel, J. (2023). Smartmonitoring - eine webbasierte Plattform für das Monitoring von Umweltdaten aus verschiedensten Schnittstellen und Sensoren zur Nutzung für studentische Projekte und Forschungsprototypen. In M. Klein, D. Krupka, V. Wohlgemuth, &#38; Gesellschaft für Informatik (Eds.), <i>53. Jahrestagung der Gesellschaft für Informatik, {INFORMATIK} 2023, Designing Future - Zukünfte gestalten</i> (pp. 1267–1276). Bonn: LNI. <a href=\"https://doi.org/10.18420/inf2023_135\">https://doi.org/10.18420/inf2023_135</a>","bibtex":"@inproceedings{Behrens_Fehring_Thiel_2023, place={Bonn}, title={Smartmonitoring - eine webbasierte Plattform für das Monitoring von Umweltdaten aus verschiedensten Schnittstellen und Sensoren zur Nutzung für studentische Projekte und Forschungsprototypen}, DOI={<a href=\"https://doi.org/10.18420/inf2023_135\">10.18420/inf2023_135</a>}, booktitle={53. Jahrestagung der Gesellschaft für Informatik, {INFORMATIK} 2023, Designing Future - Zukünfte gestalten}, publisher={LNI}, author={Behrens, Grit and Fehring, Florian and Thiel, Jannis}, editor={Klein, Maike and Krupka, Daniel  and Wohlgemuth, Volker  and Gesellschaft für InformatikEditors}, year={2023}, pages={1267–1276} }"},"author":[{"last_name":"Behrens","orcid":"0009-0009-0247-8204","full_name":"Behrens, Grit","first_name":"Grit","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0009-0247-8204/work/156454512","id":"207629"},{"orcid":"0009-0005-4638-2942","full_name":"Fehring, Florian","last_name":"Fehring","first_name":"Florian","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0005-4638-2942/work/156454516","id":"215018"},{"last_name":"Thiel","full_name":"Thiel, Jannis","first_name":"Jannis"}],"place":"Bonn"},{"quality_controlled":"1","title":"GI Edition Proceedings Band 328 \"EnviroInfo 2022\" - 26.–28. September 2022 Hamburg, Germany","date_created":"2024-03-18T18:08:04Z","volume":328,"type":"book_editor","publication_identifier":{"isbn":["978-3-88579-722-7"]},"user_id":"237837","corporate_editor":["Gesellschaft für Informatik"],"series_title":"GI-Edition. Proceedings","place":"Bonn-Buschdorf","citation":{"chicago":"Wohlgemuth, Volker, Stefan  Naumann, Hans-Knud Arndt, Grit Behrens, Maximilian Höb, and Gesellschaft für Informatik, eds. <i>GI Edition Proceedings Band 328 “EnviroInfo 2022” - 26.–28. September 2022 Hamburg, Germany</i>. Vol. 328. GI-Edition. Proceedings. Bonn-Buschdorf: Köllen, 2022.","short":"V. Wohlgemuth, S. Naumann, H.-K. Arndt, G. Behrens, M. Höb, Gesellschaft für Informatik, eds., GI Edition Proceedings Band 328 “EnviroInfo 2022” - 26.–28. September 2022 Hamburg, Germany, Köllen, Bonn-Buschdorf, 2022.","mla":"Wohlgemuth, Volker, et al., editors. <i>GI Edition Proceedings Band 328 “EnviroInfo 2022” - 26.–28. September 2022 Hamburg, Germany</i>. Vol. 328, Köllen, 2022.","ama":"Wohlgemuth V, Naumann S, Arndt H-K, Behrens G, Höb M, Gesellschaft für Informatik, eds. <i>GI Edition Proceedings Band 328 “EnviroInfo 2022” - 26.–28. September 2022 Hamburg, Germany</i>. Vol 328. Bonn-Buschdorf: Köllen; 2022.","ieee":"V. Wohlgemuth, S. Naumann, H.-K. Arndt, G. Behrens, M. Höb, and Gesellschaft für Informatik, Eds., <i>GI Edition Proceedings Band 328 “EnviroInfo 2022” - 26.–28. September 2022 Hamburg, Germany</i>, vol. 328. Bonn-Buschdorf: Köllen, 2022.","alphadin":"<span style=\"font-variant:small-caps;\">Wohlgemuth, V.</span> ; <span style=\"font-variant:small-caps;\">Naumann, S.</span> ; <span style=\"font-variant:small-caps;\">Arndt, 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</span> (Hrsg.): <i>GI Edition Proceedings Band 328 „EnviroInfo 2022“ - 26.–28. September 2022 Hamburg, Germany</i>, <i>GI-Edition. Proceedings</i>. Bd. 328. Bonn-Buschdorf : Köllen, 2022","bibtex":"@book{Wohlgemuth_Naumann_Arndt_Behrens_Höb_Gesellschaft für Informatik_2022, place={Bonn-Buschdorf}, series={GI-Edition. Proceedings}, title={GI Edition Proceedings Band 328 “EnviroInfo 2022” - 26.–28. September 2022 Hamburg, Germany}, volume={328}, publisher={Köllen}, year={2022}, collection={GI-Edition. Proceedings} }","apa":"Wohlgemuth, V., Naumann, S., Arndt, H.-K., Behrens, G., Höb, M., &#38; Gesellschaft für Informatik (Eds.). (2022). <i>GI Edition Proceedings Band 328 “EnviroInfo 2022” - 26.–28. September 2022 Hamburg, Germany</i> (Vol. 328). Presented at the International Conference on Informatics for Environmental Protection, Bonn-Buschdorf: Köllen."},"conference":{"start_date":"2022-09-26","end_date":"2022-09-28","name":"International Conference on Informatics for Environmental Protection","location":"Hamburg"},"status":"public","intvolume":"       328","page":"278","publisher":"Köllen","date_updated":"2026-03-17T15:29:00Z","year":"2022","_id":"4398","editor":[{"last_name":"Wohlgemuth","full_name":"Wohlgemuth, Volker","first_name":"Volker"},{"first_name":"Stefan ","full_name":"Naumann, Stefan ","last_name":"Naumann"},{"first_name":"Hans-Knud","full_name":"Arndt, Hans-Knud","last_name":"Arndt"},{"first_name":"Grit","id":"207629","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0009-0247-8204/work/156454530","orcid":"0009-0009-0247-8204","full_name":"Behrens, Grit","last_name":"Behrens"},{"first_name":"Maximilian","last_name":"Höb","full_name":"Höb, Maximilian"}],"language":[{"iso":"eng"}]},{"quality_controlled":"1","title":"Detektion von Schneebedeckung mittels stringbasierter  Monitoringdaten und Methoden des Maschinellen Lernens","date_created":"2023-05-23T15:54:49Z","type":"conference","publication_identifier":{"unknown":["ISBN 978-3-948176-18-1"]},"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)"}],"user_id":"231260","publication_status":"published","author":[{"first_name":"Grit","id":"207629","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0009-0247-8204/work/158915535","last_name":"Behrens","orcid":"0009-0009-0247-8204","full_name":"Behrens, Grit"},{"last_name":"Hepp","full_name":"Hepp, Dennis","first_name":"Dennis"},{"full_name":"Hempelmann, Sebastian","last_name":"Hempelmann","first_name":"Sebastian"}],"citation":{"mla":"Behrens, Grit, et al. <i>Detektion von Schneebedeckung mittels stringbasierter  Monitoringdaten und Methoden des Maschinellen Lernens</i>. Edited by Bernd Porzelius, 2022.","ama":"Behrens G, Hepp D, Hempelmann S. Detektion von Schneebedeckung mittels stringbasierter  Monitoringdaten und Methoden des Maschinellen Lernens. In: Porzelius B, ed. ; 2022.","chicago":"Behrens, Grit, Dennis Hepp, and Sebastian Hempelmann. “Detektion von Schneebedeckung mittels stringbasierter  Monitoringdaten und Methoden des Maschinellen Lernens.” edited by Bernd Porzelius, 2022.","short":"G. Behrens, D. Hepp, S. Hempelmann, in: B. Porzelius (Ed.), 2022.","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>: Detektion von Schneebedeckung mittels stringbasierter  Monitoringdaten und Methoden des Maschinellen Lernens. In: <span style=\"font-variant:small-caps;\">Porzelius, B.</span> (Hrsg.): , 2022","bibtex":"@inproceedings{Behrens_Hepp_Hempelmann_2022, title={Detektion von Schneebedeckung mittels stringbasierter  Monitoringdaten und Methoden des Maschinellen Lernens}, author={Behrens, Grit and Hepp, Dennis and Hempelmann, Sebastian}, editor={Porzelius, BerndEditor}, year={2022} }","apa":"Behrens, G., Hepp, D., &#38; Hempelmann, S. (2022). Detektion von Schneebedeckung mittels stringbasierter  Monitoringdaten und Methoden des Maschinellen Lernens. In B. Porzelius (Ed.). Presented at the 37. Photovoltaisches Symposium , Messe Freiburg.","ieee":"G. Behrens, D. Hepp, and S. Hempelmann, “Detektion von Schneebedeckung mittels stringbasierter  Monitoringdaten und Methoden des Maschinellen Lernens,” presented at the 37. Photovoltaisches Symposium , Messe Freiburg, 2022."},"conference":{"name":"37. Photovoltaisches Symposium ","location":"Messe Freiburg","start_date":"2022-06-21","end_date":"2022-06-23"},"status":"public","date_updated":"2026-03-17T15:28:39Z","year":"2022","_id":"2952","editor":[{"first_name":"Bernd","last_name":"Porzelius","full_name":"Porzelius, Bernd"}],"language":[{"iso":"ger"}]},{"language":[{"iso":"eng"}],"year":"2022","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","full_name":"Arnd, Hans-Knud","last_name":"Arnd"},{"full_name":"Behrens, Grit ","last_name":"Behrens","first_name":"Grit "},{"last_name":"Höb","full_name":"Höb, Maximilian","first_name":"Maximilian"}],"_id":"2953","conference":{"name":"EnviroInfo 2022","location":"Hamburg","end_date":"2022-09-30","start_date":"2022-09-26"},"status":"public","place":"Bonn","citation":{"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","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} }","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.","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.","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.","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.","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."},"author":[{"first_name":"Grit","id":"207629","last_name":"Behrens","orcid":"0009-0009-0247-8204","full_name":"Behrens, Grit"},{"first_name":"Dennis","full_name":"Hepp, Dennis","last_name":"Hepp"},{"last_name":"Hempelmann","full_name":"Hempelmann, Sebastian","first_name":"Sebastian"},{"full_name":"Friedrich, Werner ","last_name":"Friedrich","first_name":"Werner "}],"date_updated":"2026-03-17T15:28:39Z","user_id":"237837","main_file_link":[{"url":"http://dl.gi.de/handle/20.500.12116/39404","open_access":"1"}],"corporate_editor":["Gesellschaft für Informatik e.V."],"publication_identifier":{"isbn":["\t978-3-88579-722-7"],"issn":["\t1617-5468"]},"type":"conference","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)"}],"oa":"1","publication":"ENVIROINFO 2022","publication_status":"published","series_title":"Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328","keyword":["convolutional neural network","photovoltaic modules","snow detection","machine learning"],"department":[{"_id":"102"}],"external_id":{"unknown":["http://dl.gi.de/handle/20.500.12116/39404"]},"quality_controlled":"1","volume":"P328","title":"Detection of snow-coverage on PV-modules with images based on CNN-techniques","jel":["D83"],"date_created":"2023-05-23T16:08:36Z"},{"publication_status":"published","publication":"36th European Photovoltaic Solar Energy Conference and Exhibition","user_id":"237837","type":"conference","date_created":"2023-10-27T12:19:31Z","title":"Classification of Building Parts in Real City Point Clouds","language":[{"iso":"eng"}],"_id":"3668","year":"2019","date_updated":"2026-03-17T15:28:48Z","publisher":"WIP","doi":"10.4229/EUPVSEC20192019-6BV.4.5","status":"public","conference":{"end_date":"2019-09-13","start_date":"2019-09-09","location":"Marseille, France","name":"36th European Photovoltaic Solar Energy Conference and Exhibition"},"citation":{"ieee":"S. Schiffel, F. Fehring, and G. Behrens, “Classification of Building Parts in Real City Point Clouds,” in <i>36th European Photovoltaic Solar Energy Conference and Exhibition</i>, Marseille, France, 2019.","alphadin":"<span style=\"font-variant:small-caps;\">Schiffel, S.</span> ; <span style=\"font-variant:small-caps;\">Fehring, Florian</span> ; <span style=\"font-variant:small-caps;\">Behrens, Grit</span>: Classification of Building Parts in Real City Point Clouds. In: <i>36th European Photovoltaic Solar Energy Conference and Exhibition</i> : WIP, 2019","bibtex":"@inproceedings{Schiffel_Fehring_Behrens_2019, title={Classification of Building Parts in Real City Point Clouds}, DOI={<a href=\"https://doi.org/10.4229/EUPVSEC20192019-6BV.4.5\">10.4229/EUPVSEC20192019-6BV.4.5</a>}, booktitle={36th European Photovoltaic Solar Energy Conference and Exhibition}, publisher={WIP}, author={Schiffel, S. and Fehring, Florian and Behrens, Grit}, year={2019} }","apa":"Schiffel, S., Fehring, F., &#38; Behrens, G. (2019). Classification of Building Parts in Real City Point Clouds. In <i>36th European Photovoltaic Solar Energy Conference and Exhibition</i>. Marseille, France: WIP. <a href=\"https://doi.org/10.4229/EUPVSEC20192019-6BV.4.5\">https://doi.org/10.4229/EUPVSEC20192019-6BV.4.5</a>","chicago":"Schiffel, S., Florian Fehring, and Grit Behrens. “Classification of Building Parts in Real City Point Clouds.” In <i>36th European Photovoltaic Solar Energy Conference and Exhibition</i>. WIP, 2019. <a href=\"https://doi.org/10.4229/EUPVSEC20192019-6BV.4.5\">https://doi.org/10.4229/EUPVSEC20192019-6BV.4.5</a>.","short":"S. Schiffel, F. Fehring, G. Behrens, in: 36th European Photovoltaic Solar Energy Conference and Exhibition, WIP, 2019.","mla":"Schiffel, S., et al. “Classification of Building Parts in Real City Point Clouds.” <i>36th European Photovoltaic Solar Energy Conference and Exhibition</i>, WIP, 2019, doi:<a href=\"https://doi.org/10.4229/EUPVSEC20192019-6BV.4.5\">10.4229/EUPVSEC20192019-6BV.4.5</a>.","ama":"Schiffel S, Fehring F, Behrens G. Classification of Building Parts in Real City Point Clouds. In: <i>36th European Photovoltaic Solar Energy Conference and Exhibition</i>. WIP; 2019. doi:<a href=\"https://doi.org/10.4229/EUPVSEC20192019-6BV.4.5\">10.4229/EUPVSEC20192019-6BV.4.5</a>"},"author":[{"first_name":"S.","full_name":"Schiffel, S.","last_name":"Schiffel"},{"last_name":"Fehring","orcid":"0009-0005-4638-2942","full_name":"Fehring, Florian","first_name":"Florian","id":"215018","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0005-4638-2942/work/156454544"},{"first_name":"Grit","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0009-0247-8204/work/156454623","id":"207629","last_name":"Behrens","orcid":"0009-0009-0247-8204","full_name":"Behrens, Grit"}]},{"user_id":"237837","main_file_link":[{"open_access":"1","url":"https://sciendo.com/article/10.2478/oszn-2018-0013"}],"type":"journal_article","publication_identifier":{"eissn":["2353-8589"]},"tmp":{"image":"/images/cc_by_nc_nd.png","name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode","short":"CC BY-NC-ND (3.0)"},"oa":"1","publication":"Environmental Protection and Natural Resources","issue":"3","publication_status":"published","volume":29,"title":"Data mining methods of healthy indoor climate coefficients for comfortable well-being","date_created":"2023-10-27T12:19:32Z","language":[{"iso":"eng"}],"year":"2018","_id":"3669","status":"public","author":[{"last_name":"Behrens","full_name":"Behrens, Grit","orcid":"0009-0009-0247-8204","id":"207629","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0009-0247-8204/work/156454628","first_name":"Grit"},{"first_name":"Klaus","full_name":"Schlender, Klaus","last_name":"Schlender"},{"full_name":"Fehring, Florian","orcid":"0009-0005-4638-2942","last_name":"Fehring","id":"215018","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0005-4638-2942/work/156454546","first_name":"Florian"}],"citation":{"ieee":"G. Behrens, K. Schlender, and F. Fehring, “Data mining methods of healthy indoor climate coefficients for comfortable well-being,” <i>Environmental Protection and Natural Resources</i>, vol. 29, no. 3, pp. 7–12, 2018.","alphadin":"<span style=\"font-variant:small-caps;\">Behrens, Grit</span> ; <span style=\"font-variant:small-caps;\">Schlender, Klaus</span> ; <span style=\"font-variant:small-caps;\">Fehring, Florian</span>: Data mining methods of healthy indoor climate coefficients for comfortable well-being. In: <i>Environmental Protection and Natural Resources</i> Bd. 29, Walter de Gruyter GmbH (2018), Nr. 3, S. 7–12","apa":"Behrens, G., Schlender, K., &#38; Fehring, F. (2018). Data mining methods of healthy indoor climate coefficients for comfortable well-being. <i>Environmental Protection and Natural Resources</i>, <i>29</i>(3), 7–12. <a href=\"https://doi.org/10.2478/oszn-2018-0013\">https://doi.org/10.2478/oszn-2018-0013</a>","bibtex":"@article{Behrens_Schlender_Fehring_2018, title={Data mining methods of healthy indoor climate coefficients for comfortable well-being}, volume={29}, DOI={<a href=\"https://doi.org/10.2478/oszn-2018-0013\">10.2478/oszn-2018-0013</a>}, number={3}, journal={Environmental Protection and Natural Resources}, publisher={Walter de Gruyter GmbH}, author={Behrens, Grit and Schlender, Klaus and Fehring, Florian}, year={2018}, pages={7–12} }","chicago":"Behrens, Grit, Klaus Schlender, and Florian Fehring. “Data Mining Methods of Healthy Indoor Climate Coefficients for Comfortable Well-Being.” <i>Environmental Protection and Natural Resources</i> 29, no. 3 (2018): 7–12. <a href=\"https://doi.org/10.2478/oszn-2018-0013\">https://doi.org/10.2478/oszn-2018-0013</a>.","short":"G. Behrens, K. Schlender, F. Fehring, Environmental Protection and Natural Resources 29 (2018) 7–12.","mla":"Behrens, Grit, et al. “Data Mining Methods of Healthy Indoor Climate Coefficients for Comfortable Well-Being.” <i>Environmental Protection and Natural Resources</i>, vol. 29, no. 3, Walter de Gruyter GmbH, 2018, pp. 7–12, doi:<a href=\"https://doi.org/10.2478/oszn-2018-0013\">10.2478/oszn-2018-0013</a>.","ama":"Behrens G, Schlender K, Fehring F. Data mining methods of healthy indoor climate coefficients for comfortable well-being. <i>Environmental Protection and Natural Resources</i>. 2018;29(3):7-12. doi:<a href=\"https://doi.org/10.2478/oszn-2018-0013\">10.2478/oszn-2018-0013</a>"},"publisher":"Walter de Gruyter GmbH","page":"7-12","date_updated":"2026-03-17T15:28:48Z","intvolume":"        29","doi":"10.2478/oszn-2018-0013"},{"doi":"10.1007/978-3-319-65687-8_16","page":"181-189","publisher":"Springer International Publishing","date_updated":"2026-03-17T15:28:46Z","place":"Cham","citation":{"mla":"Behrens, Grit, et al. “Smart Monitoring System of Air Quality and Wall Humidity Accompanying an Energy Efficient Renovation Process of Apartment Buildings.” <i>From Science to Society</i>, edited by Benoît Otjacques et al., Springer International Publishing, 2018, pp. 181–89, doi:<a href=\"https://doi.org/10.1007/978-3-319-65687-8_16\">10.1007/978-3-319-65687-8_16</a>.","ama":"Behrens G, Weicht J, Schlender K, et al. Smart Monitoring System of Air Quality and Wall Humidity Accompanying an Energy Efficient Renovation Process of Apartment Buildings. In: Otjacques B, Hitzelberger P, Naumann S, Wohlgemuth V, eds. <i>From Science to Society</i>. Progress in IS. Cham: Springer International Publishing; 2018:181-189. doi:<a href=\"https://doi.org/10.1007/978-3-319-65687-8_16\">10.1007/978-3-319-65687-8_16</a>","chicago":"Behrens, Grit, Johannes Weicht, Klaus Schlender, Florian Fehring, Rouven Dreimann, Michael Meese, Frank Hamelmann, Christoph Thiel, Thorsten Försterling, and Marc Wübbenhorst. “Smart Monitoring System of Air Quality and Wall Humidity Accompanying an Energy Efficient Renovation Process of Apartment Buildings.” In <i>From Science to Society</i>, edited by Benoît Otjacques, Patrik Hitzelberger, Stefan Naumann, and Volker Wohlgemuth, 181–89. Progress in IS. Cham: Springer International Publishing, 2018. <a href=\"https://doi.org/10.1007/978-3-319-65687-8_16\">https://doi.org/10.1007/978-3-319-65687-8_16</a>.","short":"G. Behrens, J. Weicht, K. Schlender, F. Fehring, R. Dreimann, M. Meese, F. Hamelmann, C. Thiel, T. Försterling, M. Wübbenhorst, in: B. Otjacques, P. Hitzelberger, S. Naumann, V. Wohlgemuth (Eds.), From Science to Society, Springer International Publishing, Cham, 2018, pp. 181–189.","alphadin":"<span style=\"font-variant:small-caps;\"><span style=\"font-variant:small-caps;\">Behrens, Grit</span> ; <span style=\"font-variant:small-caps;\">Weicht, Johannes</span> ; <span style=\"font-variant:small-caps;\">Schlender, Klaus</span> ; <span style=\"font-variant:small-caps;\">Fehring, Florian</span> ; <span style=\"font-variant:small-caps;\">Dreimann, Rouven</span> ; <span style=\"font-variant:small-caps;\">Meese, Michael</span> ; <span style=\"font-variant:small-caps;\">Hamelmann, Frank</span> ; <span style=\"font-variant:small-caps;\">Thiel, Christoph</span> ; u. a.</span>: Smart Monitoring System of Air Quality and Wall Humidity Accompanying an Energy Efficient Renovation Process of Apartment Buildings. In: <span style=\"font-variant:small-caps;\">Otjacques, B.</span> ; <span style=\"font-variant:small-caps;\">Hitzelberger, P.</span> ; <span style=\"font-variant:small-caps;\">Naumann, S.</span> ; <span style=\"font-variant:small-caps;\">Wohlgemuth, V.</span> (Hrsg.): <i>From Science to Society</i>, <i>Progress in IS</i>. Cham : Springer International Publishing, 2018, S. 181–189","apa":"Behrens, G., Weicht, J., Schlender, K., Fehring, F., Dreimann, R., Meese, M., … Wübbenhorst, M. (2018). Smart Monitoring System of Air Quality and Wall Humidity Accompanying an Energy Efficient Renovation Process of Apartment Buildings. In B. Otjacques, P. Hitzelberger, S. Naumann, &#38; V. Wohlgemuth (Eds.), <i>From Science to Society</i> (pp. 181–189). Cham: Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-319-65687-8_16\">https://doi.org/10.1007/978-3-319-65687-8_16</a>","bibtex":"@inbook{Behrens_Weicht_Schlender_Fehring_Dreimann_Meese_Hamelmann_Thiel_Försterling_Wübbenhorst_2018, place={Cham}, series={Progress in IS}, title={Smart Monitoring System of Air Quality and Wall Humidity Accompanying an Energy Efficient Renovation Process of Apartment Buildings}, DOI={<a href=\"https://doi.org/10.1007/978-3-319-65687-8_16\">10.1007/978-3-319-65687-8_16</a>}, booktitle={From Science to Society}, publisher={Springer International Publishing}, author={Behrens, Grit and Weicht, Johannes and Schlender, Klaus and Fehring, Florian and Dreimann, Rouven and Meese, Michael and Hamelmann, Frank and Thiel, Christoph and Försterling, Thorsten and Wübbenhorst, Marc}, editor={Otjacques, Benoît and Hitzelberger, Patrik and Naumann, Stefan and Wohlgemuth, VolkerEditors}, year={2018}, pages={181–189}, collection={Progress in IS} }","ieee":"G. Behrens <i>et al.</i>, “Smart Monitoring System of Air Quality and Wall Humidity Accompanying an Energy Efficient Renovation Process of Apartment Buildings,” in <i>From Science to Society</i>, B. Otjacques, P. Hitzelberger, S. Naumann, and V. Wohlgemuth, Eds. Cham: Springer International Publishing, 2018, pp. 181–189."},"author":[{"first_name":"Grit","id":"207629","last_name":"Behrens","orcid":"0009-0009-0247-8204","full_name":"Behrens, Grit"},{"first_name":"Johannes","last_name":"Weicht","full_name":"Weicht, Johannes"},{"full_name":"Schlender, Klaus","last_name":"Schlender","first_name":"Klaus"},{"first_name":"Florian","full_name":"Fehring, Florian","last_name":"Fehring"},{"first_name":"Rouven","last_name":"Dreimann","full_name":"Dreimann, Rouven"},{"last_name":"Meese","full_name":"Meese, Michael","first_name":"Michael"},{"id":"208487","first_name":"Frank","last_name":"Hamelmann","full_name":"Hamelmann, Frank","orcid":"0000-0001-6141-9874"},{"first_name":"Christoph","full_name":"Thiel, Christoph","last_name":"Thiel"},{"last_name":"Försterling","full_name":"Försterling, Thorsten","first_name":"Thorsten"},{"last_name":"Wübbenhorst","full_name":"Wübbenhorst, Marc","first_name":"Marc"}],"status":"public","year":"2018","_id":"3562","editor":[{"last_name":"Otjacques","full_name":"Otjacques, Benoît","first_name":"Benoît"},{"first_name":"Patrik","last_name":"Hitzelberger","full_name":"Hitzelberger, Patrik"},{"first_name":"Stefan","full_name":"Naumann, Stefan","last_name":"Naumann"},{"first_name":"Volker","last_name":"Wohlgemuth","full_name":"Wohlgemuth, Volker"}],"language":[{"iso":"eng"}],"title":"Smart Monitoring System of Air Quality and Wall Humidity Accompanying an Energy Efficient Renovation Process of Apartment Buildings","date_created":"2023-09-01T12:09:55Z","series_title":"Progress in IS","publication":"From Science to Society","publication_status":"published","type":"book_chapter","publication_identifier":{"issn":["2196-8705"],"eisbn":["978-3-319-65687-8"],"isbn":["978-3-319-65686-1"],"eissn":["2196-8713"]},"user_id":"231260","alternative_id":["3670"]}]
