Power consumer screening method and system based on multi-dimensional risk evaluate index

Abstract

The invention discloses a power consumer screening method and system based on multi-dimensional risk evaluate indexes; the method comprises the following steps: obtaining power consumer information; screening to obtain a power consumption credit type risk evaluate index and a law credit type risk evaluate index, thus obtaining the basic credit type risk evaluate index; obtaining real scores of various risk evaluate indexes of each power consumer; using a hierarchy analysis method to respectively solve the weight of the basic credit type risk evaluate index and the power consumption credit type risk evaluate index in a two-two comparison mode according to the real score values of the basic credit type risk evaluate index and the power consumption credit type risk evaluate index of the power consumer; obtaining a power consumer integral risk rating score value; presetting risk grades of the power consumer and power consumer integral risk rating score value sections corresponding to each risk grade; finally determining the power consumer risk grade according to the power consumer integral risk rating score value.

Description

technical field [0001] The invention belongs to the field of electric power, and in particular relates to a method and system for screening electric power users based on multi-dimensional risk evaluation indicators. Background technique [0002] Risk prediction is widely used in all walks of life. Banks, securities, telecommunications, etc. establish customer credit rating systems to evaluate users' credit ratings, thereby playing a role in risk prevention. The power supply company has carried out risk prevention through the transformation of "one household, one meter" and the establishment of a customer credit evaluation system, which has promoted the recovery of electricity charges. Power users are not only the biggest source of profit for enterprises, but also the biggest source of risk. To master the credit status of power users, electric power companies must first conduct credit risk assessment on power users. value. [0003] However, there are still some deficiencie...

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Problems solved by technology

[0004] (1) Existing information risk assessments use manual simple weighting of various indicators to obtain a rough evaluation value. Moreover, the weight of each indicator obtained is not sure whether it is in line with the actual situation, and cannot correctly reflect the user's credit rating (2) Neglecting data value mining, only focusing on the completion of business indicators, failing to conduct appropriate data association analysis, and ignoring the significance of data existence value

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