An explainable framework for load forecasting of a regional integrated energy system based on coupled features and multi-task learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2367-0983
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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An explainable framework for load forecasting of a regional integrated energy system based on coupled features and multi-task learning ; volume:7 ; number:1 ; day:15 ; month:6 ; year:2022 ; pages:1-14 ; date:12.2022
Protection and control of modern power systems ; 7, Heft 1 (15.6.2022), 1-14, 12.2022
- Urheber
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Wu, Kailang
Gu, Jie
Meng, Lu
Wen, Honglin
Ma, Jinghuan
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s41601-022-00245-y
- URN
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urn:nbn:de:101:1-2022080922035371523012
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:38 MESZ
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Beteiligte
- Wu, Kailang
- Gu, Jie
- Meng, Lu
- Wen, Honglin
- Ma, Jinghuan
- SpringerLink (Online service)
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