Short-term load forecasting in smart meters with sliding window-based ARIMA algorithms
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2196-8896
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
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Short-term load forecasting in smart meters with sliding window-based ARIMA algorithms ; day:6 ; month:6 ; year:2018 ; pages:1-9
Vietnam journal of computer science ; (6.6.2018), 1-9
- Urheber
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Alberg, Dima
- Beteiligte Personen und Organisationen
-
Last, Mark
SpringerLink (Online service)
- DOI
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10.1007/s40595-018-0119-7
- URN
-
urn:nbn:de:101:1-2018081318591678084291
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:23 MESZ
Datenpartner
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Beteiligte
- Alberg, Dima
- Last, Mark
- SpringerLink (Online service)
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