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Chinese Journal of Management Science ›› 2021, Vol. 29 ›› Issue (10): 224-235.doi: 10.16381/j.cnki.issn1003-207x.2020.2181

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Research on the Construction and Application of the Customer Value Portrait Model of Industrial Power Enterprise in China

YAN Hongxu 1, YU Shunkun 1, LIN Yiqing 2   

  1. 1. Academy of Economics and Management, North China Electric Power University, Beijing 102206, China;2. Shantou Power Supply Bureau, Guangdong Power Grid Co., LTD., Shantou 515000, China
  • Received:2020-11-02 Revised:2020-12-11 Online:2021-10-20 Published:2021-10-21

Abstract: Under the macro background that the novel Coronavirus epidemic had a huge impact on China’s electric power market, in order to further improve the efficiency of marketing service resource allocation of China’s power supply enterprises and maximize the comprehensive benefits of power supply enterprises, a study is carried out on the user value portrait model of China’s industrial power. The power user value is analyzed and defined, and the SECO indicator model of China’s industrial power user value evaluation is constructed from four dimensions: safety & stability value (S), economic benefit value (E), contract credit value (C) and ordered power value (O), also at the same time, RST (Rough Set Theory) in intelligent algorithm and PAM (Partitioning Around Medoids) in data mining technology are combined to construct a semi-supervised automatic user value identification and feature display model. The model includes three modules: RST based index model design, user value evaluation based on Gower distance and PAM, and value feature visualization via user portraits. Among them, in order to enhance the scientificity and reliability of the cluster results, Hopkins statistics is used to access the clustering tendency, gap statistics is used to output the optimal number of cluster approach, and silhouette coefficient is used to evaluate the model effect and identify the misjudged samples. The model is tested and applied to the user data of a power supply enterprise affiliated to China Southern Power Grid, and a highly explanatory and persuasive user segmentation scheme is obtained, which indicates that the model is a set of feasible and effective user value rating and feature visualization tool.

Key words: power user segmentation, power user value evaluation, user value portrait, Rough Set Theory, Partitioning Around Medoids, Hopkins Statistic, Gap Statistic, Silhouette Coefficient

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