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Layout Optimization of Vertical-Axis Wind Turbines Based on a Power-Predicting Neural Network

dc.contributor.authorZhang, Xu
dc.contributor.authorWang, Zhongtao
dc.contributor.authorWang, Zheng
dc.contributor.authorFang, Yan
dc.contributor.authorLi, Wei
dc.date.accessioned2026-08-20T10:48:05Z
dc.date.available2026-08-20T10:48:05Z
dc.date.copyright2025/09/08
dc.date.issued2025
dc.identifier.otherJENMDT.EMENG-8089.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311275
dc.description.abstractAbstractA novel layout optimization framework for vertical-axis wind turbines (VAWTs) in a wind farm is developed by building a power prediction neural network and improving a 2D_k Jensen engineering wake model. First, for a single hidden layer back-...
dc.publisherAmerican Society of Civil Engineers
dc.titleLayout Optimization of Vertical-Axis Wind Turbines Based on a Power-Predicting Neural Network
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue11
dc.journal.titleJournal of Engineering Mechanics
dc.identifier.doi10.1061/JENMDT.EMENG-8089
dc.journal.fristpage04025062-1
dc.journal.lastpage04025062-14
dc.page14
dc.treeJournal of Engineering Mechanics:;2025:;Volume ( 151 ):;issue: 011
dc.contenttypeFulltext


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