Forecasting of residential unit’s heat demands: a comparison of machine learning techniques in a real-world case study
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource, 1 online resource.
- Language
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Englisch
- Bibliographic citation
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Forecasting of residential unit’s heat demands: a comparison of machine learning techniques in a real-world case study ; day:9 ; month:5 ; year:2023 ; pages:1-35
Energy systems ; (9.5.2023), 1-35
- Classification
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Natürliche Ressourcen, Energie und Umwelt
- Creator
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s12667-023-00579-y
- URN
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urn:nbn:de:101:1-2023090708553709268845
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:50 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kemper, Neele
- Heider, Michael
- Pietruschka, Dirk
- Hähner, Jörg
- SpringerLink (Online service)
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