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Demand-side high-value user classification and screening method based on BKA-GMM algorithm
Electric Power Automation Equipment   Vol. 45, Issue 9, Pages: 165-173(2025)
ANALYSIS AND RESEARCH | 更新时间：2025-09-09

    • Demand-side high-value user classification and screening method based on BKA-GMM algorithm

    • “In peak shaving scenarios, a demand side high-value user segmentation and screening method based on the black kite algorithm optimized Gaussian mixture model was proposed, significantly improving user segmentation efficiency and the probability of participating in actual responses.”

    • DOI：10.16081/j.epae.202506012    

      CLC： TM73

    • Received：21 January 2025，

      Revised：2025-05-19，

      Published Online：11 June 2025，

      Published：10 September 2025

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  • YU Yang,SUN Zishuo,WANG Zhongjing,et al.Demand-side high-value user classification and screening method based on BKA-GMM algorithm[J].Electric Power Automation Equipment,2025,45(09):165-173. DOI： 10.16081/j.epae.202506012.

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Related Institution

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