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Updated: Jan 13, 2026

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
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使用实证和人工智能方法进行威布尔参数估计:在伊兹米尔进行风能评估

Bayram Köse1

  • 1Faculty of Engineering and Architecture, Department of Electrical and Electronics Engineering, Izmir Bakırçay University, 35665 Menemen, Izmir, Turkey.

Biomimetics (Basel, Switzerland)
|October 28, 2025
PubMed
概括

先进的AI算法显著改善了风能潜力的风速建模,优于传统方法. 由于效率和高收益率,Foça和Urla被确定为风能投资的首选地点.

关键词:
基因算法 (GA) 是一种基因算法.引力搜索算法 (GSA) 引力搜索算法灰狼算法 (GWA) 是一个算法.红狐算法 (RFA) 是一个算法.负数和负数算法 (SCA)教学学习算法 (TLBA) 的教学韦布尔分布参数的参数红熊猫优化算法 (RPA) 是一个风能的潜力 风能的潜力

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