End to End Global Horizontal Irradiance Estimation Through Pre-trained Deep Learning Models Using All-Sky-Images
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: EMS Annual Meeting Abstracts, 19, EMS2022-505, S.
- Ereignis
-
Veröffentlichung
- (wo)
-
Sankt Augustin
- (wer)
-
Hochschule Bonn-Rhein-Sieg
- (wann)
-
2022
- Urheber
- DOI
-
10.5194/ems2022-505
- URN
-
urn:nbn:de:hbz:1044-opus-62939
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
2025-08-15T07:26:59+0200
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Chaaraoui, Samer
- Houben, Sebastian
- Meilinger, Stefanie
- Hochschule Bonn-Rhein-Sieg
Entstanden
- 2022
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