Development and trending of deep learning methods for wind power predictions
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Development and trending of deep learning methods for wind power predictions ; volume:57 ; number:5 ; day:5 ; month:4 ; year:2024 ; pages:1-49 ; date:5.2024
Artificial intelligence review ; 57, Heft 5 (5.4.2024), 1-49, 5.2024
- Klassifikation
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Elektrotechnik, Elektronik
- Urheber
-
Liu, Hong
Zhang, Zijun
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1007/s10462-024-10728-z
- URN
-
urn:nbn:de:101:1-2407290932174.553704698626
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:47 MESZ
Datenpartner
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Beteiligte
- Liu, Hong
- Zhang, Zijun
- SpringerLink (Online service)
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