PUBLIKATIONSSERVER

Grit Behrens

https://orcid.org/0009-0009-0247-8204

38 Publikationen

Alle markieren

[38]
2025 | Konferenzbeitrag | FH-PUB-ID: 5775
Behrens, G., Ribouh, Y., El Atmioui, N., & 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 .
HSBI-PUB
 
[37]
2025 | Konferenzbeitrag | FH-PUB-ID: 5774
Behrens, G., Ribouh, Y., & El Atmioui, N. (2025). Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images. Presented at the 1. All-Sky Imager Workshop, Rosenheim.
HSBI-PUB
 
[36]
2025 | Konferenzbeitrag | FH-PUB-ID: 5772
Behrens, G., Marten, D., Koch, L., & 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, & Springer (Eds.), Umweltinformationssysteme - Digitalisierung für eine nachhaltige Planetare Zukunft/ Tagungsband des 31. Workshops “Umweltinformationssysteme (UIS 2024)” der Fachgruppe “Umweltinformationssysteme” der Gesellschaft für Informatik (GI). Berlin: Springer Fachmedien Wiesbaden; Springer Vieweg .
HSBI-PUB | Dateien verfügbar
 
[35]
2024 | Konferenzbeitrag | FH-PUB-ID: 5773
Behrens, G., & 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.
HSBI-PUB
 
[34]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 5071
Behrens, G., Flohr, S., & Worms, S. (n.d.). Posterbeitrag: Advancing Corrosion Foeecasting Through Empirical And Simulated Data Integration. Presented at the ENVIROINFO - Europäische Konferenz für Umweltinformatik, Kairo.
HSBI-PUB
 
[33]
2024 | Konferenzbeitrag | FH-PUB-ID: 5070
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.
HSBI-PUB
 
[32]
2024 | Konferenzbeitrag | FH-PUB-ID: 5069
Behrens, G., Boschert, A., Kruse, A., Zehner, M., & 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.
HSBI-PUB
 
[31]
2024 | Konferenzbeitrag | FH-PUB-ID: 4399
Behrens, G., Hepp, D., Hempelmann, S., & Friedrich , W. (2024). Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen. In Conexio-PSE GmbH (Ed.), Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein. Pforzheim, Deutschland.
HSBI-PUB
 
[30]
2024 | Konferenzbeitrag | FH-PUB-ID: 5068
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 EUPVSEC 2024. Wien .
HSBI-PUB
 
[29]
2024 | Konferenzbeitrag | FH-PUB-ID: 5067
Behrens, G., Boschert, A., Zehner, M., & Theiß, N. (2024). Cloud Segmetation and Matching using Deep Learning in All-Sky Images. In M. Rennhofer & TIP Hannover (Eds.), PV-Symposium Proceedings (Vol. 1). Bad Staffelstein : TIB Open Publishing. https://doi.org/10.52825/pv-symposium.v1i
HSBI-PUB | DOI
 
[28]
2024 | Konferenzbeitrag | FH-PUB-ID: 4400
Behrens, G., Theis, N., Boschert, A., & Zehner, M. (2024). Wolkensegementierung und -matching mit Deep Learning in All Sky Images. In M. Rennhofer & Conexio-PSE GmbH (Eds.), Tagungsunterlagen 39. PV-Symposium. Pforzheim, Deutschland.
HSBI-PUB
 
[27]
2024 | Buchbeitrag | FH-PUB-ID: 4397
Orlowski, C., Behrens, G., & Karatzas, K. (2024). Commonalities and Differences in ML-Pipelines for Air Quality Systems. In V. Wohlgemuth, D. Kranzlmüller, & M. Höb (Eds.), Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society (pp. 21–37). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-46902-2_2
HSBI-PUB | DOI
 
[26]
2024 | Konferenzbeitrag | FH-PUB-ID: 4395
Behrens, G., Karaztas, K., & Orlowski, C. (2024). Business Intelligence Fog IoT node development model for Big Data processing of air quality in scientific partnerships. 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 (pp. 288–297). Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA. https://doi.org/10125/106409
HSBI-PUB | DOI
 
[25]
2023 | Konferenzbeitrag | FH-PUB-ID: 4396
Behrens, G., Fehring, F., & 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, & Gesellschaft für Informatik (Eds.), 53. Jahrestagung der Gesellschaft für Informatik, {INFORMATIK} 2023, Designing Future - Zukünfte gestalten (pp. 1267–1276). Bonn: LNI. https://doi.org/10.18420/inf2023_135
HSBI-PUB | DOI
 
[24]
2022 | Konferenzbeitrag | FH-PUB-ID: 2952
Behrens, G., Hepp, D., & 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.
HSBI-PUB
 
[23]
2022 | Konferenzbeitrag | FH-PUB-ID: 2953 | OA
Behrens, G., Hepp, D., Hempelmann, S., & 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, & Gesellschaft für Informatik e.V. (Eds.), ENVIROINFO 2022 (Vol. P328). Bonn.
HSBI-PUB | Download (ext.)
 
[22]
2022 | Buch als Herausgeber | FH-PUB-ID: 4398
Wohlgemuth, V., Naumann, S., Arndt, H.-K., Behrens, G., Höb, M., & Gesellschaft für Informatik (Eds.). (2022). GI Edition Proceedings Band 328 “EnviroInfo 2022” - 26.–28. September 2022 Hamburg, Germany (Vol. 328). Presented at the International Conference on Informatics for Environmental Protection, Bonn-Buschdorf: Köllen.
HSBI-PUB
 
[21]
2019 | Konferenzbeitrag | FH-PUB-ID: 3668
Schiffel, S., Fehring, F., & Behrens, G. (2019). Classification of Building Parts in Real City Point Clouds. In 36th European Photovoltaic Solar Energy Conference and Exhibition. Marseille, France: WIP. https://doi.org/10.4229/EUPVSEC20192019-6BV.4.5
HSBI-PUB | DOI
 
[20]
2018 | Buchbeitrag | FH-PUB-ID: 3562
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, & V. Wohlgemuth (Eds.), From Science to Society (pp. 181–189). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-65687-8_16
HSBI-PUB | DOI
 
[19]
2018 | Artikel | FH-PUB-ID: 3669 | OA
Behrens, G., Schlender, K., & Fehring, F. (2018). Data mining methods of healthy indoor climate coefficients for comfortable well-being. Environmental Protection and Natural Resources, 29(3), 7–12. https://doi.org/10.2478/oszn-2018-0013
HSBI-PUB | DOI | Download (ext.)
 
[18]
2017 | Kurzbeitrag Konferenz | FH-PUB-ID: 173
Behrens, G., Domnik, A., Mertens, K., Arnds, A., & Diehl, M. (2017). Optimierung eines Bild- und Videoaufnahmesystems zur Elektrolumineszenz-Messung im PV-Feld mit Hilfe von Algorithmen der digitalen Bildverarbeitung. Presented at the 32. Symposium Photovoltaische Solarenergie, Kloster Banz, Bad Staffelstein.
HSBI-PUB
 
[17]
2017 | Kurzbeitrag Konferenz | FH-PUB-ID: 172
Behrens, G., Domnik, A., Mertens, K., Arnds, A., & Diehl, M. (2017). Digital Image Processing Algorithms for Quality-Enhancement of Electroluminescence Picturing in PV-Fields. Presented at the 33rd European Photovoltaic Solar Energy Conference and Exhibition, Amsterdam. https://doi.org/10.4229/EUPVSEC20172017-5BV.4.64
HSBI-PUB | DOI
 
[16]
2016 | Konferenzbeitrag | FH-PUB-ID: 175
Weicht, J., Hamelmann, F., & Behrens, G. (2016). Changes in temperature-coefficient of the diode model caused by light-induced degradation of a-Si/μc-Si solar cells. Presented at the 32nd European Photovoltaic Solar Energy Conference and Exhibition, München. https://doi.org/10.4229/EUPVSEC20162016-3DV.1.4
HSBI-PUB | DOI
 
[15]
2016 | Konferenzbeitrag | FH-PUB-ID: 176 | OA
Mertens, K., Arnds, A., Behrens, G., & Domnik, A. (2016). LowCost-Outdoor-Electroluminescence: Significant Improvements of the Method. Presented at the 32nd European Photovoltaic Solar Energy Conference and Exhibition, München.
HSBI-PUB | Download (ext.)
 
[14]
2016 | Konferenzbeitrag | FH-PUB-ID: 177
Mertens, K., Arnds, A., Behrens, G., Domnik, A., Diehl, M., & Fladung, A. (2016). LowCost-Outdoor-EL: Die Bilder lernen laufen…. In Ostbayerisches Technologie-Transfer-Institut (Ed.), 31. Symposium Photovoltaische Solarenergie, Staffelstein (pp. 186–187). Regensburg: Ostbayerisches Technologie-Transfer-Institut e.V.
HSBI-PUB
 
[13]
2016 | Konferenzbeitrag | FH-PUB-ID: 178
Kilper, T., Feser, C., Kirstein, U., Peters, D., Tapia, M., von Maydell, K., … Behrens, G. (2016). Potentiale des PV-Anlagen Monitorings auf Modul-Ebende mit integrierter Echtzeit-Simulation des zu erwartenden Ertrags. In Ostbayerisches Technologie-Transfer-Institut (Ed.), 31. Symposium Photovoltaische Solarenergie (pp. 225–226). Regensburg: Ostbayerisches Technologie-Transfer-Institut e.V.
HSBI-PUB
 
[12]
2016 | Konferenzbeitrag | FH-PUB-ID: 174
Behrens, G., Dercho, A., Quakernack, H., Wächter, T., Hempelmann, S., & Kruse, I. (2016). Data Mining Methods for Failure Classification on PV-Modules Monitored under Field-Conditions. In European Photovoltaic Solar Energy Conference and Exhibition. München: WIP. https://doi.org/10.4229/EUPVSEC20162016-5DO.12.4
HSBI-PUB | DOI
 
[11]
2016 | Artikel | FH-PUB-ID: 3516
Hamelmann, F., Weicht, J. A., & Behrens, G. (2016). Light-Induced Degradation of Thin Film Silicon Solar Cells. Journal of Physics: Conference Series, 682. https://doi.org/10.1088/1742-6596/682/1/012002
HSBI-PUB | DOI | Download (ext.)
 
[10]
2016 | Artikel | FH-PUB-ID: 3515
Weicht, J. A., Hamelmann, F., & Behrens, G. (2016). Simulation of light-induced degradation of μc-Si in a-Si/μc-Si tandem solar cells by the diode equivalent circuit. Journal of Physics: Conference Series, 682. https://doi.org/10.1088/1742-6596/682/1/012017
HSBI-PUB | DOI | Download (ext.)
 
[9]
2016 | Artikel | FH-PUB-ID: 171 | OA
Weicht, J., Rasch, R., Behrens, G., & Hamelmann, F. (2016). Performance characterization of thin-film-silicon based solar modules under clouded and clear sky conditions in comparison to crystalline silicon modules. Electronic Materials Letters, 12(4), 468–471. https://doi.org/10.1007/s13391-016-4008-x
HSBI-PUB | DOI | Download (ext.)
 
[8]
2015 | Artikel | FH-PUB-ID: 170
Bamberg, S., Behrens, G., Bergmeyer, M., Brewitt, K., Papendick, M., Rees, J., & Zielinski, J. (2015). Theoriegeleitete Entwicklung eines webbasierten Unterstützungssystems zur Förderung klimaschonender Alltagsmobilität. Umweltpsychologie, (1), 54–76.
HSBI-PUB | Download (ext.)
 
[7]
2015 | Buchbeitrag | FH-PUB-ID: 169 | OA
Bamberg, S., Behrens, G., Bergmeyer, M., Brewitt, K., Papendick, M., Rees, J., & Zielinski, J. (2015). Development of a theory-driven, webbased behavioral change support system for environmentally friendly mobility behavior. In Social marketing: global perspectives, strategies and effects on consumer behavior (pp. 91–108). New York: Nova Science.
HSBI-PUB | Download (ext.)
 
[6]
2015 | Konferenzbeitrag | FH-PUB-ID: 3519
Rasch, R., Behrens, G., Hamelmann, F., Hantelmann, S., Dreimann, R., & Weicht, J. A. (2015). Automated Thermal Imaging for Fault Detection on PV-Systems. Presented at the European Photovoltaic Solar Energy Conference and Exhibition, WIP. https://doi.org/10.4229/EUPVSEC20152015-5BV.1.53
HSBI-PUB | DOI
 
[5]
2015 | Konferenzbeitrag | FH-PUB-ID: 3518
Weicht, J. A., Rasch, R., Behrens, G., & Hamelmann, F. (2015). Changing of the Parameters of the “three-Diode Model” by Light-Induced Degradation at Different Degradation Temperatures of a-Si/µc-Si Solar Cells. Presented at the European Photovoltaic Solar Energy Conference and Exhibition, WIP. https://doi.org/10.4229/EUPVSEC20152015-3CV.1.12
HSBI-PUB | DOI
 
[4]
2015 | Konferenzbeitrag | FH-PUB-ID: 3517
Weicht, J. A., Hamelmann, F., & Behrens, G. (2015). Changing in irradiation behavior and temperature-coefficient variation caused by light-induced degradation of a-Si/μc-Si solar cells. In 2015 IEEE 42nd Photovoltaic Specialist Conference (PVSC) (pp. 1–4). New Orleans, LA: IEEE. https://doi.org/10.1109/PVSC.2015.7356298
HSBI-PUB | DOI
 
[3]
2014 | Konferenzbeitrag | FH-PUB-ID: 3564
Weicht, J., Hamelmann, F., & Behrens, G. (2014). Low Light Behavior of a-Si and a-Si/µc-Si PV-Modules Compared to c-Si PV-Modules under Field Test Conditions. Presented at the European Photovoltaic Solar Energy Conference and Exhibition, WIP. https://doi.org/10.4229/EUPVSEC20142014-5DV.3.4
HSBI-PUB | DOI
 
[2]
2014 | Konferenzbeitrag | FH-PUB-ID: 3525
Behrens, G., Domnik, A., Hempelmann, S., Weicht, J., Hamelmann, F., Yilmaz, S., & Kruse, I. (2014). Machine Learning Methods for Partial Shading Detection in Monitoring Data on PV-Systems. Presented at the European Photovoltaic Solar Energy Conference and Exhibition, WIP. https://doi.org/10.4229/EUPVSEC20142014-5BV.1.51
HSBI-PUB | DOI
 
[1]
2013 | Konferenzbeitrag | FH-PUB-ID: 3566
Weicht, J., Behrens, G., & Hamelmann, F. (2013). Light-Induced Degradation of a-Si/µ-Si Thin Film Solar Cells under Different Climate Conditions and Its Influence on Performance. Presented at the European Photovoltaic Solar Energy Conference and Exhibition, WIP. https://doi.org/10.4229/28THEUPVSEC2013-3CV.1.36
HSBI-PUB | DOI
 
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38 Publikationen

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[38]
2025 | Konferenzbeitrag | FH-PUB-ID: 5775
Behrens, G., Ribouh, Y., El Atmioui, N., & 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 .
HSBI-PUB
 
[37]
2025 | Konferenzbeitrag | FH-PUB-ID: 5774
Behrens, G., Ribouh, Y., & El Atmioui, N. (2025). Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images. Presented at the 1. All-Sky Imager Workshop, Rosenheim.
HSBI-PUB
 
[36]
2025 | Konferenzbeitrag | FH-PUB-ID: 5772
Behrens, G., Marten, D., Koch, L., & 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, & Springer (Eds.), Umweltinformationssysteme - Digitalisierung für eine nachhaltige Planetare Zukunft/ Tagungsband des 31. Workshops “Umweltinformationssysteme (UIS 2024)” der Fachgruppe “Umweltinformationssysteme” der Gesellschaft für Informatik (GI). Berlin: Springer Fachmedien Wiesbaden; Springer Vieweg .
HSBI-PUB | Dateien verfügbar
 
[35]
2024 | Konferenzbeitrag | FH-PUB-ID: 5773
Behrens, G., & 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.
HSBI-PUB
 
[34]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 5071
Behrens, G., Flohr, S., & Worms, S. (n.d.). Posterbeitrag: Advancing Corrosion Foeecasting Through Empirical And Simulated Data Integration. Presented at the ENVIROINFO - Europäische Konferenz für Umweltinformatik, Kairo.
HSBI-PUB
 
[33]
2024 | Konferenzbeitrag | FH-PUB-ID: 5070
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.
HSBI-PUB
 
[32]
2024 | Konferenzbeitrag | FH-PUB-ID: 5069
Behrens, G., Boschert, A., Kruse, A., Zehner, M., & 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.
HSBI-PUB
 
[31]
2024 | Konferenzbeitrag | FH-PUB-ID: 4399
Behrens, G., Hepp, D., Hempelmann, S., & Friedrich , W. (2024). Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen. In Conexio-PSE GmbH (Ed.), Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein. Pforzheim, Deutschland.
HSBI-PUB
 
[30]
2024 | Konferenzbeitrag | FH-PUB-ID: 5068
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 EUPVSEC 2024. Wien .
HSBI-PUB
 
[29]
2024 | Konferenzbeitrag | FH-PUB-ID: 5067
Behrens, G., Boschert, A., Zehner, M., & Theiß, N. (2024). Cloud Segmetation and Matching using Deep Learning in All-Sky Images. In M. Rennhofer & TIP Hannover (Eds.), PV-Symposium Proceedings (Vol. 1). Bad Staffelstein : TIB Open Publishing. https://doi.org/10.52825/pv-symposium.v1i
HSBI-PUB | DOI
 
[28]
2024 | Konferenzbeitrag | FH-PUB-ID: 4400
Behrens, G., Theis, N., Boschert, A., & Zehner, M. (2024). Wolkensegementierung und -matching mit Deep Learning in All Sky Images. In M. Rennhofer & Conexio-PSE GmbH (Eds.), Tagungsunterlagen 39. PV-Symposium. Pforzheim, Deutschland.
HSBI-PUB
 
[27]
2024 | Buchbeitrag | FH-PUB-ID: 4397
Orlowski, C., Behrens, G., & Karatzas, K. (2024). Commonalities and Differences in ML-Pipelines for Air Quality Systems. In V. Wohlgemuth, D. Kranzlmüller, & M. Höb (Eds.), Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society (pp. 21–37). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-46902-2_2
HSBI-PUB | DOI
 
[26]
2024 | Konferenzbeitrag | FH-PUB-ID: 4395
Behrens, G., Karaztas, K., & Orlowski, C. (2024). Business Intelligence Fog IoT node development model for Big Data processing of air quality in scientific partnerships. 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 (pp. 288–297). Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA. https://doi.org/10125/106409
HSBI-PUB | DOI
 
[25]
2023 | Konferenzbeitrag | FH-PUB-ID: 4396
Behrens, G., Fehring, F., & 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, & Gesellschaft für Informatik (Eds.), 53. Jahrestagung der Gesellschaft für Informatik, {INFORMATIK} 2023, Designing Future - Zukünfte gestalten (pp. 1267–1276). Bonn: LNI. https://doi.org/10.18420/inf2023_135
HSBI-PUB | DOI
 
[24]
2022 | Konferenzbeitrag | FH-PUB-ID: 2952
Behrens, G., Hepp, D., & 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.
HSBI-PUB
 
[23]
2022 | Konferenzbeitrag | FH-PUB-ID: 2953 | OA
Behrens, G., Hepp, D., Hempelmann, S., & 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, & Gesellschaft für Informatik e.V. (Eds.), ENVIROINFO 2022 (Vol. P328). Bonn.
HSBI-PUB | Download (ext.)
 
[22]
2022 | Buch als Herausgeber | FH-PUB-ID: 4398
Wohlgemuth, V., Naumann, S., Arndt, H.-K., Behrens, G., Höb, M., & Gesellschaft für Informatik (Eds.). (2022). GI Edition Proceedings Band 328 “EnviroInfo 2022” - 26.–28. September 2022 Hamburg, Germany (Vol. 328). Presented at the International Conference on Informatics for Environmental Protection, Bonn-Buschdorf: Köllen.
HSBI-PUB
 
[21]
2019 | Konferenzbeitrag | FH-PUB-ID: 3668
Schiffel, S., Fehring, F., & Behrens, G. (2019). Classification of Building Parts in Real City Point Clouds. In 36th European Photovoltaic Solar Energy Conference and Exhibition. Marseille, France: WIP. https://doi.org/10.4229/EUPVSEC20192019-6BV.4.5
HSBI-PUB | DOI
 
[20]
2018 | Buchbeitrag | FH-PUB-ID: 3562
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, & V. Wohlgemuth (Eds.), From Science to Society (pp. 181–189). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-65687-8_16
HSBI-PUB | DOI
 
[19]
2018 | Artikel | FH-PUB-ID: 3669 | OA
Behrens, G., Schlender, K., & Fehring, F. (2018). Data mining methods of healthy indoor climate coefficients for comfortable well-being. Environmental Protection and Natural Resources, 29(3), 7–12. https://doi.org/10.2478/oszn-2018-0013
HSBI-PUB | DOI | Download (ext.)
 
[18]
2017 | Kurzbeitrag Konferenz | FH-PUB-ID: 173
Behrens, G., Domnik, A., Mertens, K., Arnds, A., & Diehl, M. (2017). Optimierung eines Bild- und Videoaufnahmesystems zur Elektrolumineszenz-Messung im PV-Feld mit Hilfe von Algorithmen der digitalen Bildverarbeitung. Presented at the 32. Symposium Photovoltaische Solarenergie, Kloster Banz, Bad Staffelstein.
HSBI-PUB
 
[17]
2017 | Kurzbeitrag Konferenz | FH-PUB-ID: 172
Behrens, G., Domnik, A., Mertens, K., Arnds, A., & Diehl, M. (2017). Digital Image Processing Algorithms for Quality-Enhancement of Electroluminescence Picturing in PV-Fields. Presented at the 33rd European Photovoltaic Solar Energy Conference and Exhibition, Amsterdam. https://doi.org/10.4229/EUPVSEC20172017-5BV.4.64
HSBI-PUB | DOI
 
[16]
2016 | Konferenzbeitrag | FH-PUB-ID: 175
Weicht, J., Hamelmann, F., & Behrens, G. (2016). Changes in temperature-coefficient of the diode model caused by light-induced degradation of a-Si/μc-Si solar cells. Presented at the 32nd European Photovoltaic Solar Energy Conference and Exhibition, München. https://doi.org/10.4229/EUPVSEC20162016-3DV.1.4
HSBI-PUB | DOI
 
[15]
2016 | Konferenzbeitrag | FH-PUB-ID: 176 | OA
Mertens, K., Arnds, A., Behrens, G., & Domnik, A. (2016). LowCost-Outdoor-Electroluminescence: Significant Improvements of the Method. Presented at the 32nd European Photovoltaic Solar Energy Conference and Exhibition, München.
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[14]
2016 | Konferenzbeitrag | FH-PUB-ID: 177
Mertens, K., Arnds, A., Behrens, G., Domnik, A., Diehl, M., & Fladung, A. (2016). LowCost-Outdoor-EL: Die Bilder lernen laufen…. In Ostbayerisches Technologie-Transfer-Institut (Ed.), 31. Symposium Photovoltaische Solarenergie, Staffelstein (pp. 186–187). Regensburg: Ostbayerisches Technologie-Transfer-Institut e.V.
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[13]
2016 | Konferenzbeitrag | FH-PUB-ID: 178
Kilper, T., Feser, C., Kirstein, U., Peters, D., Tapia, M., von Maydell, K., … Behrens, G. (2016). Potentiale des PV-Anlagen Monitorings auf Modul-Ebende mit integrierter Echtzeit-Simulation des zu erwartenden Ertrags. In Ostbayerisches Technologie-Transfer-Institut (Ed.), 31. Symposium Photovoltaische Solarenergie (pp. 225–226). Regensburg: Ostbayerisches Technologie-Transfer-Institut e.V.
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[12]
2016 | Konferenzbeitrag | FH-PUB-ID: 174
Behrens, G., Dercho, A., Quakernack, H., Wächter, T., Hempelmann, S., & Kruse, I. (2016). Data Mining Methods for Failure Classification on PV-Modules Monitored under Field-Conditions. In European Photovoltaic Solar Energy Conference and Exhibition. München: WIP. https://doi.org/10.4229/EUPVSEC20162016-5DO.12.4
HSBI-PUB | DOI
 
[11]
2016 | Artikel | FH-PUB-ID: 3516
Hamelmann, F., Weicht, J. A., & Behrens, G. (2016). Light-Induced Degradation of Thin Film Silicon Solar Cells. Journal of Physics: Conference Series, 682. https://doi.org/10.1088/1742-6596/682/1/012002
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[10]
2016 | Artikel | FH-PUB-ID: 3515
Weicht, J. A., Hamelmann, F., & Behrens, G. (2016). Simulation of light-induced degradation of μc-Si in a-Si/μc-Si tandem solar cells by the diode equivalent circuit. Journal of Physics: Conference Series, 682. https://doi.org/10.1088/1742-6596/682/1/012017
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[9]
2016 | Artikel | FH-PUB-ID: 171 | OA
Weicht, J., Rasch, R., Behrens, G., & Hamelmann, F. (2016). Performance characterization of thin-film-silicon based solar modules under clouded and clear sky conditions in comparison to crystalline silicon modules. Electronic Materials Letters, 12(4), 468–471. https://doi.org/10.1007/s13391-016-4008-x
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[8]
2015 | Artikel | FH-PUB-ID: 170
Bamberg, S., Behrens, G., Bergmeyer, M., Brewitt, K., Papendick, M., Rees, J., & Zielinski, J. (2015). Theoriegeleitete Entwicklung eines webbasierten Unterstützungssystems zur Förderung klimaschonender Alltagsmobilität. Umweltpsychologie, (1), 54–76.
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[7]
2015 | Buchbeitrag | FH-PUB-ID: 169 | OA
Bamberg, S., Behrens, G., Bergmeyer, M., Brewitt, K., Papendick, M., Rees, J., & Zielinski, J. (2015). Development of a theory-driven, webbased behavioral change support system for environmentally friendly mobility behavior. In Social marketing: global perspectives, strategies and effects on consumer behavior (pp. 91–108). New York: Nova Science.
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[6]
2015 | Konferenzbeitrag | FH-PUB-ID: 3519
Rasch, R., Behrens, G., Hamelmann, F., Hantelmann, S., Dreimann, R., & Weicht, J. A. (2015). Automated Thermal Imaging for Fault Detection on PV-Systems. Presented at the European Photovoltaic Solar Energy Conference and Exhibition, WIP. https://doi.org/10.4229/EUPVSEC20152015-5BV.1.53
HSBI-PUB | DOI
 
[5]
2015 | Konferenzbeitrag | FH-PUB-ID: 3518
Weicht, J. A., Rasch, R., Behrens, G., & Hamelmann, F. (2015). Changing of the Parameters of the “three-Diode Model” by Light-Induced Degradation at Different Degradation Temperatures of a-Si/µc-Si Solar Cells. Presented at the European Photovoltaic Solar Energy Conference and Exhibition, WIP. https://doi.org/10.4229/EUPVSEC20152015-3CV.1.12
HSBI-PUB | DOI
 
[4]
2015 | Konferenzbeitrag | FH-PUB-ID: 3517
Weicht, J. A., Hamelmann, F., & Behrens, G. (2015). Changing in irradiation behavior and temperature-coefficient variation caused by light-induced degradation of a-Si/μc-Si solar cells. In 2015 IEEE 42nd Photovoltaic Specialist Conference (PVSC) (pp. 1–4). New Orleans, LA: IEEE. https://doi.org/10.1109/PVSC.2015.7356298
HSBI-PUB | DOI
 
[3]
2014 | Konferenzbeitrag | FH-PUB-ID: 3564
Weicht, J., Hamelmann, F., & Behrens, G. (2014). Low Light Behavior of a-Si and a-Si/µc-Si PV-Modules Compared to c-Si PV-Modules under Field Test Conditions. Presented at the European Photovoltaic Solar Energy Conference and Exhibition, WIP. https://doi.org/10.4229/EUPVSEC20142014-5DV.3.4
HSBI-PUB | DOI
 
[2]
2014 | Konferenzbeitrag | FH-PUB-ID: 3525
Behrens, G., Domnik, A., Hempelmann, S., Weicht, J., Hamelmann, F., Yilmaz, S., & Kruse, I. (2014). Machine Learning Methods for Partial Shading Detection in Monitoring Data on PV-Systems. Presented at the European Photovoltaic Solar Energy Conference and Exhibition, WIP. https://doi.org/10.4229/EUPVSEC20142014-5BV.1.51
HSBI-PUB | DOI
 
[1]
2013 | Konferenzbeitrag | FH-PUB-ID: 3566
Weicht, J., Behrens, G., & Hamelmann, F. (2013). Light-Induced Degradation of a-Si/µ-Si Thin Film Solar Cells under Different Climate Conditions and Its Influence on Performance. Presented at the European Photovoltaic Solar Energy Conference and Exhibition, WIP. https://doi.org/10.4229/28THEUPVSEC2013-3CV.1.36
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