江苏大学主页平台管理系统王龙滟--中文主页-- Effectiveness of wake control optimization for multiple in-line wind turbines by combinatorial machine learning wake model

个人信息

王龙滟

学位：博士
性别：男
学历：博士研究生毕业
在职信息：在本单位任职
所在单位：流体机械工程技术研究中心

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Effectiveness of wake control optimization for multiple in-line wind turbines by combinatorial machine learning wake model

发布时间：2025-10-20 点击次数：

所属单位：30100
论文名称：Effectiveness of wake control optimization for multiple in-line wind turbines by combinatorial machine learning wake model
发表刊物：Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
ISSN号：09544062
是否译文：否

上一条：Enhanced Diagnosis of Wind Turbine Main Bearing Faults Through Fusion of Multi-source Signals with a Hybrid MTF-CNN-NSGAII Approach

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