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