An electricity consumption risk identification method for small and medium-sized electric power customers

Abstract

The invention discloses an electricity consumption risk identification method for small and medium-sized customers in electric power, and relates to the field of electric power. At present, small andmedium-sized customers have various power utilization risks. According to the technical scheme, the evaluation indexes and the corresponding evaluation index data of the small and medium-sized customers to be identified are extracted from three risk dimensions of the low-level risk, the arrearage risk and the safety risk, and based on K-, the evaluation indexes and the corresponding evaluation index data are obtained. The means clustering algorithm is used for carrying out three-dimensional risk identification on the small and medium-sized customers to be subjected to risk assessment, and extracting power utilization behavior characteristics of the small and medium-sized customers in each risk category; Risk recognition results of the three dimensions of the inexpensive risk, the arrearagerisk and the safety risk are integrated, a medium and small client risk recognition model is constructed, medium and small client subdivision based on the client risk is achieved, and a basis is provided for differentiated and personalized marketing services.

Description

technical field [0001] The invention relates to the field of electric power, in particular to a method for identifying risks of electricity consumption by small and medium-sized electric power customers. Background technique [0002] With the in-depth development of "Internet +", the demand for differentiated and personalized services of electric power customers is prominent. Demand provides the main body of analysis, and the service strategy formulated based on this can accurately meet the electricity service needs of different customers and realize differentiated and personalized services. [0003] Judging from the current research on electric power customer segmentation, most of them focus on the segmentation research on large electric power customers, and the research on small and medium-sized customers is less involved. Wide range, it is necessary to subdivide small and medium customer groups. Moreover, in the process of electricity consumption, small and medium-sized...

AI Technical Summary

Problems solved by technology

Moreover, in the process of electricity consumption, small and medium-sized customers have the characteristics of multiple types of electricity contracts, high average electricity prices, and large liquidity, and are prone to risks in arrears, safety risks, and internal corruption.

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