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| Research on customer classification and identification in electricity sales market based on marketing big data |
| LONG Peng, XU Tao, WU Xinrui, PENG Bin, JIE Yewei |
| Jiaxing Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd, Jiaxing, Zhejiang 314000 |
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Abstract With the steady progress of the reform of the electricity sales market and the increasing competition, this article proposes a customer classification solution based on marketing big data, in order to help electricity sales companies better select target customers, improve their profits, reduce electricity costs for customers, and promote the healthy and stable development of the electricity sales market. The solution utilizes customer credit information, electricity meters collected data and other information to establish a customer database. Based on the entropy weight method and expert scoring method, the principle of selecting indicators is reasonably applied to establish a comprehensive evaluation index system of customers. Through the “four quadrant” theory, customers are divided into four categories including high-quality, stable, eliminated, and risky, which provides reference for electricity sales companies to accurately locate target users.
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Received: 04 June 2024
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| Cite this article: |
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LONG Peng,XU Tao,WU Xinrui等. Research on customer classification and identification in electricity sales market based on marketing big data[J]. Electrical Engineering, 2024, 25(10): 30-35.
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| URL: |
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http://dqjs.cesmedia.cn/EN/Y2024/V25/I10/30
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[1] 孙云涛, 宋依群. 售电市场环境下售电公司与电力用户双层博弈模型研究[J]. 水电能源科学, 2018, 36(10): 210-214.
[2] 宋健京, 陈永华, 杨冬梅, 等. 售电侧放开后新型售电市场运营机制研究[J]. 电力需求侧管理, 2018, 20(5): 20-24.
[3] 沈子垚, 袁晓玲. 基于并行化K-means的综合能源服务客户识别[J]. 电力工程技术, 2021, 40(2): 107-113.
[4] 韩昕檀. 适应新型电力市场的需求侧售电运营策略研究[D]. 沈阳: 沈阳工业大学, 2023.
[5] 郭然. H售电公司客户增值服务策略研究[D]. 南京: 东南大学, 2022.
[6] 徐鹏程. 客户价值分析在售电客户管理中的应用[J]. 产业创新研究, 2023(24): 165-167.
[7] 喻小宝. 电力市场环境下售电公司购售电交易优化模型研究[D]. 北京: 华北电力大学, 2018.
[8] 王昊. 基于TOPSIS和ELECTRE的居民区生活垃圾分类方案研究[D]. 武汉: 华中科技大学, 2015.
[9] 朱道俊, 张文锋, 李国彬. 基于熵权和TOPSIS法的山区35kV架空线路雷击风险评估[J]. 电气技术, 2022, 23(8): 23-30.
[10] 李智轩, 李嘉丰, 叶晓华, 等. 基于Copula函数与多目标进化算法的负荷区间预测[J]. 电气技术, 2024, 25(6): 24-30.
[11] 潘福荣, 魏明. 基于组合赋权的配电网运行状态评价研究[J]. 电气技术, 2019, 20(8): 80-84. |
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2024, Vol. 25 
