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Updated: Jun 11, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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提高HVDC输电线路故障检测使用不连接包装和贝叶斯优化与人工神经网络和科学度见解的贝叶斯优化

Muhammad Zain Yousaf1,2,3, Arvind R Singh4, Saqib Khalid1

  • 1Center for Renewable Energy and Microgrids, Huanjiang Laboratory, Zhejiang University, Zhuji, Zhejiang, 311816, China.

Scientific reports
|October 9, 2024
PubMed
概括

本研究介绍了一种使用集成人工神经网络 (EANN) 和贝叶斯优化 (BO) 进行强大的直流电网故障检测的新方法. 该技术准确识别高电阻故障,提高高压直流 (HVDC) 输电线路的可靠性.

关键词:
人工神经网络 (ANN) 是一个人工神经网络.贝叶斯优化 (BO) 是一个贝叶斯优化.离散波量变换 (DWT) 是指离散波量变换.货币市场中心MMC在MTDC系统中,MTDC系统

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