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Updated: Jun 6, 2025

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动态莱维-布罗恩海洋捕食者算法用于光伏模型参数优化.

Yassine Bouteraa1, Mohammad Khishe2,3

  • 1Department of Computer Engineering, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, 11942, Al-Kharj, Saudi Arabia. yassine.bouteraa@isbs.usf.tn.

Scientific reports
|November 25, 2024
PubMed
概括

一个新的动态莱维-布罗恩海洋捕食者算法 (DLBMPA) 提高了太阳能光伏 (PV) 模型的准确性. 这种增强方法为光伏参数估计提供了更快的融合和更高的精度.

关键词:
动态的莱维布罗尼亚人海洋捕食者算法 海洋捕食者算法光伏模型的光伏模型太阳能电池是一个太阳能电池.

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