Recursive training based physics-inspired neural network for electric water heater modeling
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2520-8942
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Recursive training based physics-inspired neural network for electric water heater modeling ; volume:5 ; number:4 ; day:21 ; month:12 ; year:2022 ; pages:1-22 ; date:12.2022
Energy informatics ; 5, Heft 4 (21.12.2022), 1-22, 12.2022
- Urheber
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Pandiyan, Surya Venkatesh
Rajasekharan, Jayaprakash
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1186/s42162-022-00233-4
- URN
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urn:nbn:de:101:1-2023022121172363272519
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:03 MESZ
Datenpartner
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Beteiligte
- Pandiyan, Surya Venkatesh
- Rajasekharan, Jayaprakash
- SpringerLink (Online service)
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