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Updated: Jul 4, 2025

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提高光伏参数估计:将非线性狩猎和强化学习策略与黄金子优化器集成在一起

Chappani Sankaran Sundar Ganesh1, Chandrasekaran Kumar2, Manoharan Premkumar3

  • 1Department of Electrical and Electronics Engineering, Karpagam College of Engineering, Coimbatore, Tamil Nadu, 641032, India. sundarganeshsankaran@gmail.com.

Scientific reports
|February 2, 2024
PubMed
概括

一个新的基于强化学习的黄金子优化器 (RL-GJO) 显著改善了光伏 (PV) 系统参数优化. 这种先进的方法实现了较低的错误率和比现有的光伏参数估计技术更快的趋同.

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