PUBLIKATIONSSERVER

Grit Behrens

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

38 Publikationen

Alle markieren

[38]
2025 | Konferenzbeitrag | FH-PUB-ID: 5775
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.
HSBI-PUB
 
[37]
2025 | Konferenzbeitrag | FH-PUB-ID: 5774
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.
HSBI-PUB
 
[36]
2025 | Konferenzbeitrag | FH-PUB-ID: 5772
G. Behrens, D. Marten, L. Koch, and M. Gaj, “Prognose von Pegelständen mit Methoden des Maschinellen Lernens und frei verfügbaren Daten,” in Umweltinformationssysteme - Digitalisierung für eine nachhaltige Planetare Zukunft/ Tagungsband des 31. Workshops “Umweltinformationssysteme (UIS 2024)” der Fachgruppe “Umweltinformationssysteme” der Gesellschaft für Informatik (GI), Uni Bamberg, 2025.
HSBI-PUB | Dateien verfügbar
 
[35]
2024 | Konferenzbeitrag | FH-PUB-ID: 5773
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.
HSBI-PUB
 
[34]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 5071
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.
HSBI-PUB
 
[33]
2024 | Konferenzbeitrag | FH-PUB-ID: 5070
G. Behrens, “Large Language Modeling Method to Support the Analysis of Environmental, Social , and Governance Reporting E-metrics.” Berlin.
HSBI-PUB
 
[32]
2024 | Konferenzbeitrag | FH-PUB-ID: 5069
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.
HSBI-PUB
 
[31]
2024 | Konferenzbeitrag | FH-PUB-ID: 4399
G. Behrens, D. Hepp, S. Hempelmann, and W. Friedrich , “Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen,” in Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein, Kloster Banz, Bad Staffelstein, 2024.
HSBI-PUB
 
[30]
2024 | Konferenzbeitrag | FH-PUB-ID: 5068
G. Behrens et al., “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 , 2024.
HSBI-PUB
 
[29]
2024 | Konferenzbeitrag | FH-PUB-ID: 5067
G. Behrens, A. Boschert, M. Zehner, and N. Theiß, “Cloud Segmetation and Matching using Deep Learning in All-Sky Images,” in PV-Symposium Proceedings, Bad Staffelstein , 2024, vol. 1.
HSBI-PUB | DOI
 
[28]
2024 | Konferenzbeitrag | FH-PUB-ID: 4400
G. Behrens, N. Theis, A. Boschert, and M. Zehner, “Wolkensegementierung und -matching mit Deep Learning in All Sky Images,” in Tagungsunterlagen 39. PV-Symposium, Kloster Banz, Bad Staffelstein, 2024.
HSBI-PUB
 
[27]
2024 | Buchbeitrag | FH-PUB-ID: 4397
C. Orlowski, G. Behrens, and K. Karatzas, “Commonalities and Differences in ML-Pipelines for Air Quality Systems,” in Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society, V. Wohlgemuth, D. Kranzlmüller, and M. Höb, Eds. Cham: Springer Nature Switzerland, 2024, pp. 21–37.
HSBI-PUB | DOI
 
[26]
2024 | Konferenzbeitrag | FH-PUB-ID: 4395
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 57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, 2024, pp. 288–297.
HSBI-PUB | DOI
 
[25]
2023 | Konferenzbeitrag | FH-PUB-ID: 4396
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 53. Jahrestagung der Gesellschaft für Informatik, {INFORMATIK} 2023, Designing Future - Zukünfte gestalten, Berlin , 2023, pp. 1267–1276.
HSBI-PUB | DOI
 
[24]
2022 | Konferenzbeitrag | FH-PUB-ID: 2952
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.
HSBI-PUB
 
[23]
2022 | Konferenzbeitrag | FH-PUB-ID: 2953 | OA
G. Behrens, D. Hepp, S. Hempelmann, and W. Friedrich, “Detection of snow-coverage on PV-modules with images based on CNN-techniques,” in ENVIROINFO 2022, Hamburg, 2022, vol. P328.
HSBI-PUB | Download (ext.)
 
[22]
2022 | Buch als Herausgeber | FH-PUB-ID: 4398
V. Wohlgemuth, S. Naumann, H.-K. Arndt, G. Behrens, M. Höb, and Gesellschaft für Informatik, Eds., GI Edition Proceedings Band 328 “EnviroInfo 2022” - 26.–28. September 2022 Hamburg, Germany, vol. 328. Bonn-Buschdorf: Köllen, 2022.
HSBI-PUB
 
[21]
2019 | Konferenzbeitrag | FH-PUB-ID: 3668
S. Schiffel, F. Fehring, and G. Behrens, “Classification of Building Parts in Real City Point Clouds,” in 36th European Photovoltaic Solar Energy Conference and Exhibition, Marseille, France, 2019.
HSBI-PUB | DOI
 
[20]
2018 | Buchbeitrag | FH-PUB-ID: 3562
G. Behrens et al., “Smart Monitoring System of Air Quality and Wall Humidity Accompanying an Energy Efficient Renovation Process of Apartment Buildings,” in From Science to Society, B. Otjacques, P. Hitzelberger, S. Naumann, and V. Wohlgemuth, Eds. Cham: Springer International Publishing, 2018, pp. 181–189.
HSBI-PUB | DOI
 
[19]
2018 | Artikel | FH-PUB-ID: 3669 | OA
G. Behrens, K. Schlender, and F. Fehring, “Data mining methods of healthy indoor climate coefficients for comfortable well-being,” Environmental Protection and Natural Resources, vol. 29, no. 3, pp. 7–12, 2018.
HSBI-PUB | DOI | Download (ext.)
 
[18]
2017 | Kurzbeitrag Konferenz | FH-PUB-ID: 173
G. Behrens, A. Domnik, K. Mertens, A. Arnds, and M. Diehl, “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, 2017.
HSBI-PUB
 
[17]
2017 | Kurzbeitrag Konferenz | FH-PUB-ID: 172
G. Behrens, A. Domnik, K. Mertens, A. Arnds, and M. Diehl, “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, 2017.
HSBI-PUB | DOI
 
[16]
2016 | Konferenzbeitrag | FH-PUB-ID: 175
J. Weicht, F. Hamelmann, and G. Behrens, “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, 2016.
HSBI-PUB | DOI
 
[15]
2016 | Konferenzbeitrag | FH-PUB-ID: 176 | OA
K. Mertens, A. Arnds, G. Behrens, and A. Domnik, “LowCost-Outdoor-Electroluminescence: Significant Improvements of the Method,” presented at the 32nd European Photovoltaic Solar Energy Conference and Exhibition, München, 2016.
HSBI-PUB | Download (ext.)
 
[14]
2016 | Konferenzbeitrag | FH-PUB-ID: 177
K. Mertens, A. Arnds, G. Behrens, A. Domnik, M. Diehl, and A. Fladung, “LowCost-Outdoor-EL: Die Bilder lernen laufen…,” in 31. Symposium Photovoltaische Solarenergie, Staffelstein, Bad Staffelstein, 2016, pp. 186–187.
HSBI-PUB
 
[13]
2016 | Konferenzbeitrag | FH-PUB-ID: 178
T. Kilper et al., “Potentiale des PV-Anlagen Monitorings auf Modul-Ebende mit integrierter Echtzeit-Simulation des zu erwartenden Ertrags,” in 31. Symposium Photovoltaische Solarenergie, Bad Staffelstein, 2016, pp. 225–226.
HSBI-PUB
 
[12]
2016 | Konferenzbeitrag | FH-PUB-ID: 174
G. Behrens, A. Dercho, H. Quakernack, T. Wächter, S. Hempelmann, and I. Kruse, “Data Mining Methods for Failure Classification on PV-Modules Monitored under Field-Conditions,” in European Photovoltaic Solar Energy Conference and Exhibition, München, 2016.
HSBI-PUB | DOI
 
[11]
2016 | Artikel | FH-PUB-ID: 3516
F. Hamelmann, J. A. Weicht, and G. Behrens, “Light-Induced Degradation of Thin Film Silicon Solar Cells,” Journal of Physics: Conference Series, vol. 682, 2016.
HSBI-PUB | DOI | Download (ext.)
 
[10]
2016 | Artikel | FH-PUB-ID: 3515
J. A. Weicht, F. Hamelmann, and G. Behrens, “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, vol. 682, 2016.
HSBI-PUB | DOI | Download (ext.)
 
[9]
2016 | Artikel | FH-PUB-ID: 171 | OA
J. Weicht, R. Rasch, G. Behrens, and F. Hamelmann, “Performance characterization of thin-film-silicon based solar modules under clouded and clear sky conditions in comparison to crystalline silicon modules,” Electronic Materials Letters, vol. 12, no. 4, pp. 468–471, 2016.
HSBI-PUB | DOI | Download (ext.)
 
[8]
2015 | Artikel | FH-PUB-ID: 170
S. Bamberg et al., “Theoriegeleitete Entwicklung eines webbasierten Unterstützungssystems zur Förderung klimaschonender Alltagsmobilität,” Umweltpsychologie, no. 1, pp. 54–76, 2015.
HSBI-PUB | Download (ext.)
 
[7]
2015 | Buchbeitrag | FH-PUB-ID: 169 | OA
S. Bamberg et al., “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, New York: Nova Science, 2015, pp. 91–108.
HSBI-PUB | Download (ext.)
 
[6]
2015 | Konferenzbeitrag | FH-PUB-ID: 3519
R. Rasch, G. Behrens, F. Hamelmann, S. Hantelmann, R. Dreimann, and J. A. Weicht, “Automated Thermal Imaging for Fault Detection on PV-Systems,” presented at the European Photovoltaic Solar Energy Conference and Exhibition, 2015.
HSBI-PUB | DOI
 
[5]
2015 | Konferenzbeitrag | FH-PUB-ID: 3518
J. A. Weicht, R. Rasch, G. Behrens, and F. Hamelmann, “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, 2015.
HSBI-PUB | DOI
 
[4]
2015 | Konferenzbeitrag | FH-PUB-ID: 3517
J. A. Weicht, F. Hamelmann, and G. Behrens, “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), New Orleans, LA, 2015, pp. 1–4.
HSBI-PUB | DOI
 
[3]
2014 | Konferenzbeitrag | FH-PUB-ID: 3564
J. Weicht, F. Hamelmann, and G. Behrens, “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, 2014.
HSBI-PUB | DOI
 
[2]
2014 | Konferenzbeitrag | FH-PUB-ID: 3525
G. Behrens et al., “Machine Learning Methods for Partial Shading Detection in Monitoring Data on PV-Systems,” presented at the European Photovoltaic Solar Energy Conference and Exhibition, 2014.
HSBI-PUB | DOI
 
[1]
2013 | Konferenzbeitrag | FH-PUB-ID: 3566
J. Weicht, G. Behrens, and F. Hamelmann, “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, 2013.
HSBI-PUB | DOI
 
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38 Publikationen

Alle markieren

[38]
2025 | Konferenzbeitrag | FH-PUB-ID: 5775
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.
HSBI-PUB
 
[37]
2025 | Konferenzbeitrag | FH-PUB-ID: 5774
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.
HSBI-PUB
 
[36]
2025 | Konferenzbeitrag | FH-PUB-ID: 5772
G. Behrens, D. Marten, L. Koch, and M. Gaj, “Prognose von Pegelständen mit Methoden des Maschinellen Lernens und frei verfügbaren Daten,” in Umweltinformationssysteme - Digitalisierung für eine nachhaltige Planetare Zukunft/ Tagungsband des 31. Workshops “Umweltinformationssysteme (UIS 2024)” der Fachgruppe “Umweltinformationssysteme” der Gesellschaft für Informatik (GI), Uni Bamberg, 2025.
HSBI-PUB | Dateien verfügbar
 
[35]
2024 | Konferenzbeitrag | FH-PUB-ID: 5773
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.
HSBI-PUB
 
[34]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 5071
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.
HSBI-PUB
 
[33]
2024 | Konferenzbeitrag | FH-PUB-ID: 5070
G. Behrens, “Large Language Modeling Method to Support the Analysis of Environmental, Social , and Governance Reporting E-metrics.” Berlin.
HSBI-PUB
 
[32]
2024 | Konferenzbeitrag | FH-PUB-ID: 5069
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.
HSBI-PUB
 
[31]
2024 | Konferenzbeitrag | FH-PUB-ID: 4399
G. Behrens, D. Hepp, S. Hempelmann, and W. Friedrich , “Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen,” in Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein, Kloster Banz, Bad Staffelstein, 2024.
HSBI-PUB
 
[30]
2024 | Konferenzbeitrag | FH-PUB-ID: 5068
G. Behrens et al., “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 , 2024.
HSBI-PUB
 
[29]
2024 | Konferenzbeitrag | FH-PUB-ID: 5067
G. Behrens, A. Boschert, M. Zehner, and N. Theiß, “Cloud Segmetation and Matching using Deep Learning in All-Sky Images,” in PV-Symposium Proceedings, Bad Staffelstein , 2024, vol. 1.
HSBI-PUB | DOI
 
[28]
2024 | Konferenzbeitrag | FH-PUB-ID: 4400
G. Behrens, N. Theis, A. Boschert, and M. Zehner, “Wolkensegementierung und -matching mit Deep Learning in All Sky Images,” in Tagungsunterlagen 39. PV-Symposium, Kloster Banz, Bad Staffelstein, 2024.
HSBI-PUB
 
[27]
2024 | Buchbeitrag | FH-PUB-ID: 4397
C. Orlowski, G. Behrens, and K. Karatzas, “Commonalities and Differences in ML-Pipelines for Air Quality Systems,” in Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society, V. Wohlgemuth, D. Kranzlmüller, and M. Höb, Eds. Cham: Springer Nature Switzerland, 2024, pp. 21–37.
HSBI-PUB | DOI
 
[26]
2024 | Konferenzbeitrag | FH-PUB-ID: 4395
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 57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, 2024, pp. 288–297.
HSBI-PUB | DOI
 
[25]
2023 | Konferenzbeitrag | FH-PUB-ID: 4396
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 53. Jahrestagung der Gesellschaft für Informatik, {INFORMATIK} 2023, Designing Future - Zukünfte gestalten, Berlin , 2023, pp. 1267–1276.
HSBI-PUB | DOI
 
[24]
2022 | Konferenzbeitrag | FH-PUB-ID: 2952
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.
HSBI-PUB
 
[23]
2022 | Konferenzbeitrag | FH-PUB-ID: 2953 | OA
G. Behrens, D. Hepp, S. Hempelmann, and W. Friedrich, “Detection of snow-coverage on PV-modules with images based on CNN-techniques,” in ENVIROINFO 2022, Hamburg, 2022, vol. P328.
HSBI-PUB | Download (ext.)
 
[22]
2022 | Buch als Herausgeber | FH-PUB-ID: 4398
V. Wohlgemuth, S. Naumann, H.-K. Arndt, G. Behrens, M. Höb, and Gesellschaft für Informatik, Eds., GI Edition Proceedings Band 328 “EnviroInfo 2022” - 26.–28. September 2022 Hamburg, Germany, vol. 328. Bonn-Buschdorf: Köllen, 2022.
HSBI-PUB
 
[21]
2019 | Konferenzbeitrag | FH-PUB-ID: 3668
S. Schiffel, F. Fehring, and G. Behrens, “Classification of Building Parts in Real City Point Clouds,” in 36th European Photovoltaic Solar Energy Conference and Exhibition, Marseille, France, 2019.
HSBI-PUB | DOI
 
[20]
2018 | Buchbeitrag | FH-PUB-ID: 3562
G. Behrens et al., “Smart Monitoring System of Air Quality and Wall Humidity Accompanying an Energy Efficient Renovation Process of Apartment Buildings,” in From Science to Society, B. Otjacques, P. Hitzelberger, S. Naumann, and V. Wohlgemuth, Eds. Cham: Springer International Publishing, 2018, pp. 181–189.
HSBI-PUB | DOI
 
[19]
2018 | Artikel | FH-PUB-ID: 3669 | OA
G. Behrens, K. Schlender, and F. Fehring, “Data mining methods of healthy indoor climate coefficients for comfortable well-being,” Environmental Protection and Natural Resources, vol. 29, no. 3, pp. 7–12, 2018.
HSBI-PUB | DOI | Download (ext.)
 
[18]
2017 | Kurzbeitrag Konferenz | FH-PUB-ID: 173
G. Behrens, A. Domnik, K. Mertens, A. Arnds, and M. Diehl, “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, 2017.
HSBI-PUB
 
[17]
2017 | Kurzbeitrag Konferenz | FH-PUB-ID: 172
G. Behrens, A. Domnik, K. Mertens, A. Arnds, and M. Diehl, “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, 2017.
HSBI-PUB | DOI
 
[16]
2016 | Konferenzbeitrag | FH-PUB-ID: 175
J. Weicht, F. Hamelmann, and G. Behrens, “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, 2016.
HSBI-PUB | DOI
 
[15]
2016 | Konferenzbeitrag | FH-PUB-ID: 176 | OA
K. Mertens, A. Arnds, G. Behrens, and A. Domnik, “LowCost-Outdoor-Electroluminescence: Significant Improvements of the Method,” presented at the 32nd European Photovoltaic Solar Energy Conference and Exhibition, München, 2016.
HSBI-PUB | Download (ext.)
 
[14]
2016 | Konferenzbeitrag | FH-PUB-ID: 177
K. Mertens, A. Arnds, G. Behrens, A. Domnik, M. Diehl, and A. Fladung, “LowCost-Outdoor-EL: Die Bilder lernen laufen…,” in 31. Symposium Photovoltaische Solarenergie, Staffelstein, Bad Staffelstein, 2016, pp. 186–187.
HSBI-PUB
 
[13]
2016 | Konferenzbeitrag | FH-PUB-ID: 178
T. Kilper et al., “Potentiale des PV-Anlagen Monitorings auf Modul-Ebende mit integrierter Echtzeit-Simulation des zu erwartenden Ertrags,” in 31. Symposium Photovoltaische Solarenergie, Bad Staffelstein, 2016, pp. 225–226.
HSBI-PUB
 
[12]
2016 | Konferenzbeitrag | FH-PUB-ID: 174
G. Behrens, A. Dercho, H. Quakernack, T. Wächter, S. Hempelmann, and I. Kruse, “Data Mining Methods for Failure Classification on PV-Modules Monitored under Field-Conditions,” in European Photovoltaic Solar Energy Conference and Exhibition, München, 2016.
HSBI-PUB | DOI
 
[11]
2016 | Artikel | FH-PUB-ID: 3516
F. Hamelmann, J. A. Weicht, and G. Behrens, “Light-Induced Degradation of Thin Film Silicon Solar Cells,” Journal of Physics: Conference Series, vol. 682, 2016.
HSBI-PUB | DOI | Download (ext.)
 
[10]
2016 | Artikel | FH-PUB-ID: 3515
J. A. Weicht, F. Hamelmann, and G. Behrens, “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, vol. 682, 2016.
HSBI-PUB | DOI | Download (ext.)
 
[9]
2016 | Artikel | FH-PUB-ID: 171 | OA
J. Weicht, R. Rasch, G. Behrens, and F. Hamelmann, “Performance characterization of thin-film-silicon based solar modules under clouded and clear sky conditions in comparison to crystalline silicon modules,” Electronic Materials Letters, vol. 12, no. 4, pp. 468–471, 2016.
HSBI-PUB | DOI | Download (ext.)
 
[8]
2015 | Artikel | FH-PUB-ID: 170
S. Bamberg et al., “Theoriegeleitete Entwicklung eines webbasierten Unterstützungssystems zur Förderung klimaschonender Alltagsmobilität,” Umweltpsychologie, no. 1, pp. 54–76, 2015.
HSBI-PUB | Download (ext.)
 
[7]
2015 | Buchbeitrag | FH-PUB-ID: 169 | OA
S. Bamberg et al., “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, New York: Nova Science, 2015, pp. 91–108.
HSBI-PUB | Download (ext.)
 
[6]
2015 | Konferenzbeitrag | FH-PUB-ID: 3519
R. Rasch, G. Behrens, F. Hamelmann, S. Hantelmann, R. Dreimann, and J. A. Weicht, “Automated Thermal Imaging for Fault Detection on PV-Systems,” presented at the European Photovoltaic Solar Energy Conference and Exhibition, 2015.
HSBI-PUB | DOI
 
[5]
2015 | Konferenzbeitrag | FH-PUB-ID: 3518
J. A. Weicht, R. Rasch, G. Behrens, and F. Hamelmann, “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, 2015.
HSBI-PUB | DOI
 
[4]
2015 | Konferenzbeitrag | FH-PUB-ID: 3517
J. A. Weicht, F. Hamelmann, and G. Behrens, “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), New Orleans, LA, 2015, pp. 1–4.
HSBI-PUB | DOI
 
[3]
2014 | Konferenzbeitrag | FH-PUB-ID: 3564
J. Weicht, F. Hamelmann, and G. Behrens, “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, 2014.
HSBI-PUB | DOI
 
[2]
2014 | Konferenzbeitrag | FH-PUB-ID: 3525
G. Behrens et al., “Machine Learning Methods for Partial Shading Detection in Monitoring Data on PV-Systems,” presented at the European Photovoltaic Solar Energy Conference and Exhibition, 2014.
HSBI-PUB | DOI
 
[1]
2013 | Konferenzbeitrag | FH-PUB-ID: 3566
J. Weicht, G. Behrens, and F. Hamelmann, “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, 2013.
HSBI-PUB | DOI
 
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