Day-ahead electric load forecast for a Ghanaian health facility using different algorithms
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
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In: Energies, 14, 2, S. 409-
- Event
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Veröffentlichung
- (where)
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Augsburg
- (who)
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Universität Augsburg
- (when)
-
2021
- Event
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Veröffentlichung
- (who)
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MDPI AG
- (when)
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2021
- Creator
- DOI
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10.3390/en14020409
- URN
-
urn:nbn:de:bvb:384-opus4-837953
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:26 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
- Chaaraoui, Samer
- Bebber, Matthias
- Meilinger, Stefanie
- Rummeny, Silvan
- Schneiders, Thorsten
- Sawadogo, Windmanagda
- Kunstmann, Harald
- Universität Augsburg
- MDPI AG
Time of origin
- 2021
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Day-Ahead Electric Load Forecast for a Ghanaian Health Facility Using Different Algorithms
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