Journal of Jilin University (Information Science Edition) ›› 2022, Vol. 40 ›› Issue (1): 103-110.

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Electric Power Marketing Inspection Business Supervision System Based on Data Mining

NIU Renkai, ZHANG Xinlei, WANG Yujun, YU Anguo, WANG Lisai   

  1. Metrology Center, State Grid Jibei Marketing Service Center, Beijng 100045, China
  • Received:2021-05-19 Online:2022-01-25 Published:2022-01-29

Abstract: Electric power enterprises are in the market of short supply. In order to prevent the production as the guiding concept of power marketing enterprises, a design scheme of power marketing audit business monitoring management system is proposed based on data mining, which can meet the requirements of legality, equality and comprehensiveness and high efficiency. Firstly, line loss management, customer service, power supply and consumption contract, measurement management, electricity consumption inspection, electricity price and electricity fee management and business expansion report and installation are taken as the audit contents and objects. Based on the minimum support and minimum confidence degree of monitoring data calculation, the probability of interest degree is introduced to dig out the credible information and remove the non representative data to improve the operation efficiency of the excavation system layer, business layer and management layer build and visual panoramic monitoring and management system. Experiments show that the designed audit system has high diagnostic accuracy of electricity price, which can provide certain audit basis for power marketing workers.


Key words: data mining, power marketing, interest probability, audit business system design

CLC Number: 

  • TP274