Wind farm optimization by active yaw control strategy using machine learning approach

IF 3.1 4区工程技术 Q3 ENERGY & FUELS

International Journal of Green Energy Pub Date : 2024-03-10 DOI:10.1080/15435075.2024.2322972

Tarique Anwar Qureshi, Vilas Warudkar

引用次数: 0

Abstract

Recent advancements in wind farm (WF) construction have prompted designers to focus on optimizing WF performance and minimizing the negative effect of wake interference on power output. One proven ...

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利用机器学习方法，通过主动偏航控制策略优化风电场

风电场（WF）建设的最新进展促使设计人员将重点放在优化风电场性能和最大限度地减少尾流干扰对功率输出的负面影响上。其中一个经过验证的 ...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Green Energy 工程技术-能源与燃料

CiteScore

6.60

自引率

9.10%

发文量

112

审稿时长

3.7 months

期刊介绍： International Journal of Green Energy shares multidisciplinary research results in the fields of energy research, energy conversion, energy management, and energy conservation, with a particular interest in advanced, environmentally friendly energy technologies. We publish research that focuses on the forms and utilizations of energy that have no, minimal, or reduced impact on environment, economy and society.