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contributor authorBai, Guan
contributor authorLyu, Mingcheng
contributor authorLi, Xueping
contributor authorHuang, Sheng
contributor authorZhu, Lin
date accessioned2026-08-20T11:18:49Z
date available2026-08-20T11:18:49Z
date copyright2026/02/06
date issued2026
identifier otherJLEED9.EYENG-6292.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312013
description abstractAbstractThe wake effect in wind farms (WFs) leads to wind energy loss of wind turbines (WTs). This paper proposes a data-driven control (DDC) strategy to optimize pitch angle and active power of WTs in wake-affected WFs. As the data resource, a model ...
publisherAmerican Society of Civil Engineers
titleData-Driven Control Strategy to Increase Active Power in Wake-Affected Wind Farms
typeJournal Article
journal volume152
journal issue2
journal titleJournal of Energy Engineering
identifier doi10.1061/JLEED9.EYENG-6292
journal fristpage04026004-1
journal lastpage04026004-9
page9
treeJournal of Energy Engineering:;2026:;Volume ( 152 ):;issue: 002
contenttypeFulltext


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