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Electric charge risk prevention and control model construction method based on logistic regression algorithm

A technology of logistic regression algorithm and construction method, which is applied in the field of electric power operation, can solve problems such as the maintenance of the rights and interests of unfavorable power supply enterprises, the difficulty in preventing and controlling the risk of electricity fee recovery, and the inability to implement targeted implementation.

Pending Publication Date: 2020-05-08
STATE GRID ZHEJIANG ELECTRIC POWER
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Problems solved by technology

[0002] In recent years, social and economic development has slowed down, power companies are under increasing pressure on electricity charge recovery, and the risk prevention and control of electricity charge recovery is becoming more and more difficult; there is a lack of a scientific and objective evaluation method for good and bad customers, and thus it is impossible to provide effective encouragement for customer behavior Or punitive measures, unable to implement "one household, one policy" in a targeted manner, which is not conducive to the maintenance of the rights and interests of power supply companies

Method used

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  • Electric charge risk prevention and control model construction method based on logistic regression algorithm
  • Electric charge risk prevention and control model construction method based on logistic regression algorithm
  • Electric charge risk prevention and control model construction method based on logistic regression algorithm

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specific Embodiment

[0106] The data information is as follows:

[0107] Basic attribute data: customer account number, account name, customer classification, electricity consumption category, industry classification, capacity, whether to subscribe to reminder SMS;

[0108] Payment behavior data: electricity fee issue date, actual receipt date, receivable electricity fee, payment deadline, liquidated damages starting date, electricity fee actually received, payment method;

[0109] Electricity consumption behavior data: historical records of electricity consumption in breach of contract, historical records of illegal electricity theft, historical records of electricity consumption, and historical records of credit evaluation;

[0110] Related information data: third-party credit information, industry prospect evaluation, production and operation status, emergencies.

[0111] A specific embodiment of the data inspection of the present invention:

[0112] (1) The uniqueness test of customer accoun...

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Abstract

The invention discloses an electric charge risk prevention and control model construction method based on a logistic regression algorithm, and belongs to the technical field of electric power operation. In the prior art, a scientific and objective evaluation method cannot be carried out on superior and inferior customers, so that effective encouragement or punishment measures cannot be provided for customer behaviors, one-household-one-strategy cannot be implemented in a targeted manner, and maintenance of rights and interests of power supply enterprises is not facilitated. According to the invention, based on customer electricity utilization direct behaviors, association behaviors and the like, a data mining algorithm is adopted to calculate and output the factual risk clients and the potential risk clients, and risk assessment is carried out respectively, so that the power supply enterprises can actively deal with the electric charge recovery risk, the electric charge recovery risk is ensured to be controllable, controllable and controllable, the electric charge management is ensured to be standard and efficient, one-household-one-strategy is convenient to implement, maintenanceof rights and interests of the power supply enterprises is facilitated, and the scheme is feasible and convenient to program.

Description

technical field [0001] The invention relates to a method for constructing an electric charge risk prevention and control model based on a logistic regression algorithm, and belongs to the technical field of electric power operation. Background technique [0002] In recent years, social and economic development has slowed down, power companies are under increasing pressure to recover electricity charges, and the risk of electricity charge recovery is increasingly difficult to prevent and control; there is a lack of a scientific and objective evaluation method for good and bad customers, and thus it is impossible to provide effective encouragement for customer behavior Or punitive measures, it is impossible to implement "one household, one policy" in a targeted manner, which is not conducive to the maintenance of the rights and interests of power supply companies. Contents of the invention [0003] Aiming at the defects of the existing technology, the purpose of the present ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q30/06G06Q50/06
CPCG06Q10/0635G06Q30/0609G06Q50/06
Inventor 裘炜浩钟雨星杨世旺施焕健潘红雨金王英王迎卜陈钰莹翟胜闻毛晋凯
Owner STATE GRID ZHEJIANG ELECTRIC POWER
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