Reinforcement learning-based multi-objective differential evolution for wind farm layout optimization

Wind farm layout optimization is a challenging issue which demands to discover some trade-off solutions considering various criteria, such as the power generated and the cost of the farm. Due to the complexity of the problem, we developed a reinforcement learning-based multi-objective differential e...

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Vydáno v:	Energy (Oxford) Ročník 284; s. 129300
Hlavní autoři:	Yu, Xiaobing, Lu, Yangchen
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.12.2023
Témata:	algorithms Differential evolution energy farms Multi-objective mutation Reinforcement learning wind Wind energy wind farms Differential evolution Wind energy Multi-objective Reinforcement learning
ISSN:	0360-5442
On-line přístup:	Získat plný text
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