Day-ahead electric load forecast for a Ghanaian health facility using different algorithms
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
-
In: Energies, 14, 2, S. 409-
- Ereignis
-
Veröffentlichung
- (wo)
-
Augsburg
- (wer)
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Universität Augsburg
- (wann)
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2021
- Ereignis
-
Veröffentlichung
- (wer)
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MDPI AG
- (wann)
-
2021
- DOI
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10.3390/en14020409
- URN
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urn:nbn:de:bvb:384-opus4-837953
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:46 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Chaaraoui, Samer
- Bebber, Matthias
- Meilinger, Stefanie
- Rummeny, Silvan
- Schneiders, Thorsten
- Sawadogo, Windmanagda
- Kunstmann, Harald
- Universität Augsburg
- MDPI AG
Entstanden
- 2021
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