Optimal scheduling of clean energy storage and charging integrated system by fusing DE algorithm and kernel search algorithm

In the context of rapid developments in artificial intelligence and the clean energy industry, the optimal scheduling of clean energy storage and charging systems has become increasingly prominent. This study proposes an optimal scheduling method that integrates Differential Evolution (DE) and Kerne...

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Veröffentlicht in:	Energy Informatics Jg. 8; H. 1; S. 33 - 21
Hauptverfasser:	Wang, Xinhua, Jia, Yujie, Su, Hao, Dang, Hua, Lu, Songfu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.12.2025 Springer Nature B.V SpringerOpen
Schlagworte:	Algorithms Artificial intelligence Charging Clean energy Clean technology Climate action Climate change Computer Science Convergence Differential evolution algorithm Effectiveness Electric power grids Emissions Emissions control Energy industry Energy management Energy storage Energy utilization Evolutionary computation Greenhouse gases Information Systems and Communication Service Kernel search Operating costs Optimal scheduling Optimization Renewable energy Renewable resources Scheduling Search algorithms Storage and charging integration Sustainable development Storage and charging integration Differential evolution algorithm Kernel search Clean energy Optimal scheduling
ISSN:	2520-8942, 2520-8942
Online-Zugang:	Volltext
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