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Research on Feature Extraction and Characteristic Analysis of Anomaly Status in Rural High-Penetration Distributed Photovoltaic Systems
Digital Intelligence Applications | 更新时间：2025-11-20

    • Research on Feature Extraction and Characteristic Analysis of Anomaly Status in Rural High-Penetration Distributed Photovoltaic Systems

    • “The operation and maintenance of distributed photovoltaic equipment are facing challenges. Experts have proposed abnormal feature extraction methods to improve detection accuracy through simulation analysis, providing data support for photovoltaic fault detection.”
    • Rural Electrification   Issue 11, Pages: 68-72(2025)

    • DOI：10.13882/j.cnki.ncdqh.2508A074    

      CLC： [TM743;32400.14.ncdqh.2508A074

    • Received：28 August 2025，

      Revised：2025-09-16，

      Published：10 November 2025

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  • Muke BAI, Zhiyan QIAN, Xiangjun DUAN. Research on Feature Extraction and Characteristic Analysis of Anomaly Status in Rural High-Penetration Distributed Photovoltaic Systems[J]. Rural Electrification, 2025, (11): 68-72. DOI： 10.13882/j.cnki.ncdqh.2508A074.

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