Synthetic demand data generation for individual electricity consumers : Generative Adversarial Networks (GANs)
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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In: Energy and AI, Volume 9, August 2022, 100161, 14 S.
In: https://doi.org/10.1016/j.egyai.2022.100161
- Schlagwort
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Electricity consumption
- Ereignis
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Veröffentlichung
- (wo)
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Kaiserslautern-Landau
- (wer)
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Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, Kaiserslautern - Fachbereich Mathematik
- (wann)
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2022
- Urheber
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Yilmaz, Bilgi
Korn, Ralf
- Beteiligte Personen und Organisationen
-
Jin, Donghan
- URN
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urn:nbn:de:hbz:386-kluedo-70751
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:25 MESZ
Datenpartner
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Beteiligte
- Yilmaz, Bilgi
- Korn, Ralf
- Jin, Donghan
- Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, Kaiserslautern - Fachbereich Mathematik
Entstanden
- 2022
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