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Research on Heavy Overload Identification of Distribution Transformer Based on Hybrid Sampling and Random Forest
Digital Intelligence Applications | 更新时间：2025-10-13

    • Research on Heavy Overload Identification of Distribution Transformer Based on Hybrid Sampling and Random Forest

    • “In the field of electricity, experts have proposed a mixed sampling and random forest method for identifying heavy overloads in distribution transformers, which effectively improves the performance of classification algorithms.”
    • Rural Electrification   Issue 9, Pages: 25-30(2025)

    • DOI：10.13882/j.cnki.ncdqh.2501A039    

      CLC： [TM727;32400.14.ncdqh.2501A039

    • Received：18 January 2025，

      Revised：2025-04-08，

      Published：10 September 2025

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  • Jinfu LI, Xuemei YAO, Fachun LI, et al. Research on Heavy Overload Identification of Distribution Transformer Based on Hybrid Sampling and Random Forest[J]. Rural electrification, 2025, (9): 25-30. DOI： 10.13882/j.cnki.ncdqh.2501A039.

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