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ORCIDGrit Behrens
2020 – today
- 2024
[c15]Andreas Boschert
, Alexander Kruse, Grit Behrens, Mike Zehner, Martin Heigl:
Helios: Introducing a Project for Forecasting Photovoltaic Yields using a Small Network of All-Sky Imagers and Meteorological Sensors. EnviroInfo 2024: 1- [c14]Grit Behrens, Kostas D. Karatzas, Cezary Orlowski:
Large Language Modeling Method to Support the Analysis of Environmental, Social, and Governance Reporting E-metrics. EnviroInfo 2024: 2 - [c13]Andreas Abecker, Grit Behrens, Stefan Naumann, Martina Willenbacher:
5. Workshop Künstliche Intelligenz in der Umweltinformatik. INFORMATIK 2024: 1071-1077 - [c12]Grit Behrens, Kostas D. Karatzas, Cezary Orlowski:
Business Intelligence Fog IoT node development model for Big Data processing of air quality in scientific partnerships. HICSS 2024: 288-297 - 2023
- [c11]Florian Fehring, Grit Behrens, Jannis Thiel:
Smartmonitoring - eine webbasierte Plattform für das Monitoring von Umweltdaten aus verschiedensten Schnittstellen und Sensoren zur Nutzung für studentische Projekte und Forschungsprototypen. GI-Jahrestagung 2023: 1267-1276 - 2022
- [c10]Dennis Hepp, Sebastian Hempelmann, Grit Behrens, Werner Friedrich:
Detection of snow-coverage on PV-modules with images based on CNN-techniques. EnviroInfo 2022: 123-132 - [e1]Volker Wohlgemuth, Stefan Naumann, Hans-Knud Arndt, Grit Behrens, Maximilian Höb:
36th International Conference on Informatics for Environmental Protection, EnviroInfo 2022, Hamburg, Germany, September 26-28, 2022. LNI P-328, Gesellschaft für Informatik e.V. 2022, ISBN 978-3-88579-722-7 [contents] - 2021
- [c9]Felix Meyer, Joachim Rüter, Grit Behrens, Matthias Diehl:
Intelligente PV-Modul Datenbank-Applikation für Predictive Maintainance von PV-Anlagen. GI-Jahrestagung 2021: 359-364 - [c8]Klaus Schlender, Grit Behrens, Reiner Creutzburg:
Maschinelles Lernen von CNN-Modellen zur Segmentierung von Störobjekten auf Gebäudefassaden auf Infrarot- und Farbbildern. GI-Jahrestagung 2021: 375-388 - 2020
- [c7]Stefan Naumann, Kristina Voigt, Eva Kern, Volker Wohlgemuth, Grit Behrens:
8. Workshop Umweltinformatik zwischen Nachhaltigkeit und Wandel (UINW 2020). GI-Jahrestagung 2020: 221-223 - [c6]Lutz Westhäusser, David Nickel, Grit Behrens, Klaus Schlender:
Analyse von Heizungs- und Lüftungsverhalten mit Data Mining Methoden. GI-Jahrestagung 2020: 259-267 - [c5]Cem Basoglu, Grit Behrens, Konrad Mertes, Matthias Diehl:
Comparison of Knowledge-based Feature Vector Extraction and Geometrical Parameters of Photovoltaic I-V Curves. LWDA 2020: 70-75
2010 – 2019
- 2017
- [c4]Grit Behrens, Johannes Weicht, Klaus Schlender, Florian Fehring, Rouven Dreimann, Michael Meese, Frank Hamelmann, Christoph Thiel, Thorsten Försterling, Marc Wübbenhorst:
Smart Monitoring System of Air Quality and Wall Humidity Accompanying an Energy Efficient Renovation Process of Apartment Buildings. EnviroInfo 2017: 181-189 - [c3]Klaus Schlender, Grit Behrens, Oleg Abele:
Visualisierung von 3D-Objekten mit automatischer Lokalisierung von Wärmebrücken in der Gebäudeaußenhülle. GI-Jahrestagung 2017: 1949-1960 - 2016
- [c2]Grit Behrens, Sven Alexander Ertelt, Florian Steckel, Fabian Witthaus, Frank Hamelmann, Thorsten Försterling:
Information and gaming Web-Application supporting energy efficient renovation process in an energetically outdated social residential area. EnviroInfo (2) 2016: 191-196 - 2015
- [c1]Alexander Domnik, Sven Alexander Ertelt, Florian Steckel, Fabian Witthaus, Grit Behrens:
Classification of consumption data for energy management with Smart Metering. EnviroInfo/ICT4S (2) 2015: 211-212
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