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
-
In: energies, 14, S. 409-
- Classification
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Wirtschaft
- Event
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Veröffentlichung
- (where)
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Sankt Augustin
- (who)
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Hochschule Bonn-Rhein-Sieg
- (when)
-
2021
- DOI
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10.3390/en14020409
- URN
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urn:nbn:de:hbz:1044-opus-52958
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:41 PM CET
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
- Hochschule Bonn-Rhein-Sieg
Time of origin
- 2021
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Evaluating the Performance of WRF-Solar Model for 72-Hour Ahead Global Horizontal Irradiance Forecasting in West Africa: A Case Study of Ghana
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