Energy management of hybrid energy system sources based on machine learning classification algorithms

•Solar and wind along with gasoline and diesel sources are combined for HES.•Different algorithms are applied to forecast the optimal energy source supplier.•Optimal SAM is achieved based on supervised algorithms.•Algorithms are ranked based on their performance. Hybrid energy systems (HES) that con...

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Veröffentlicht in:	Electric power systems research Jg. 199; S. 107436
Hauptverfasser:	Musbah, Hmeda, Aly, Hamed H., Little, Timothy A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.10.2021 Elsevier Science Ltd
Schlagworte:	Algorithms Confusion matrix Decision trees Energy management Hybrid energy systems Hybrid systems K-nearest neighbors algorithm Machine learning Renewable energy sources Scheduling and managing Solar energy Studies Confusion matrix Scheduling and managing Machine learning Hybrid energy systems
ISSN:	0378-7796, 1873-2046
Online-Zugang:	Volltext
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