Load forecasting based on deep neural network and historical data augmentation (Englisch)
Freier Zugriff
- Neue Suche nach: Lai, Chun Sing
- Neue Suche nach: Mo, Zhenyao
- Neue Suche nach: Wang, Ting
- Neue Suche nach: Yuan, Haoliang
- Neue Suche nach: Ng, Wing W.Y.
- Neue Suche nach: Lai, Loi Lei
- Neue Suche nach: Lai, Chun Sing
- Neue Suche nach: Mo, Zhenyao
- Neue Suche nach: Wang, Ting
- Neue Suche nach: Yuan, Haoliang
- Neue Suche nach: Ng, Wing W.Y.
- Neue Suche nach: Lai, Loi Lei
In:
IET Generation, Transmission & Distribution
;
14
, 24
;
5927-5934
;
2020
- Aufsatz (Zeitschrift) / Elektronische Ressource
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Titel:Load forecasting based on deep neural network and historical data augmentation
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Beteiligte:Lai, Chun Sing ( Autor:in ) / Mo, Zhenyao ( Autor:in ) / Wang, Ting ( Autor:in ) / Yuan, Haoliang ( Autor:in ) / Ng, Wing W.Y. ( Autor:in ) / Lai, Loi Lei ( Autor:in )
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Erschienen in:IET Generation, Transmission & Distribution ; 14, 24 ; 5927-5934
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Verlag:
- Neue Suche nach: The Institution of Engineering and Technology
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Erscheinungsdatum:18.09.2020
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Format / Umfang:8 pages
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:Czech , data handling , historical data augmentation , Austria , deep neural network , load prediction , data prediction , learning (artificial intelligence) , Italy , forecasting error reduction , neural nets , DNN–HDA , load forecasting , daily peak loads , vectors , power engineering computing , regression analysis
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Datenquelle:
Metadata by IET is licensed under CC BY 3.0
Inhaltsverzeichnis – Band 14, Ausgabe 24
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