Short-term multi-energy consumption forecasting for integrated energy system based on interactive multi-scale convolutional module
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Short-term multi-energy consumption forecasting for integrated energy system based on interactive multi-scale convolutional module ; volume:14 ; number:1 ; day:13 ; month:9 ; year:2024 ; pages:1-17 ; date:12.2024
Scientific reports ; 14, Heft 1 (13.9.2024), 1-17, 12.2024
- Classification
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Natürliche Ressourcen, Energie und Umwelt
- Creator
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Liu, Fang
Huang, Yucong
Wang, Yalin
Xia, E.
Qureshi, Hassaan
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41598-024-72103-w
- URN
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urn:nbn:de:101:1-2411272126135.076314859743
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:36 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Liu, Fang
- Huang, Yucong
- Wang, Yalin
- Xia, E.
- Qureshi, Hassaan
- SpringerLink (Online service)
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