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Big data electricity charge risk model construction method

A construction method and risk model technology, which is applied in the field of electric charge risk model construction, can solve problems such as the number of reminders, excessive frequency, failure to complete goals, and waste of resources, so as to reduce business risks, increase electricity charge recovery rate, and reduce electricity charge recovery risk effect

Inactive Publication Date: 2016-12-21
NINGBO POWER SUPPLY COMPANY STATE GRID ZHEJIANG ELECTRIC POWER +2
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Problems solved by technology

[0002] At present, the payment of electricity bills is carried out in a uniform frequency and method; customers who pay electricity bills on time and customers who are at risk of paying electricity bills have the same method and frequency of payment. On the one hand, there are too many calls and frequencies. There is a problem that payment cannot achieve the goal, wasting resources and increasing risks

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  • Big data electricity charge risk model construction method
  • Big data electricity charge risk model construction method
  • Big data electricity charge risk model construction method

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Embodiment Construction

[0045] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0046] The electricity bill risk assessment model is based on the data of customers’ direct electricity consumption behaviors and related behaviors, and uses methods such as business personnel research, grassroots interviews, and rule induction to carry out payment risk analysis, default risk analysis, illegal risk analysis, electricity consumption trend analysis, external Credit information evaluation, industry prospect information evaluation, production and operation information evaluation, etc. At the same time, using the data processing, basic analysis and advanced analysis modules of the "one database and three centers" mathematical analysis center, using data mining methods, output factual risk users and potential risk users, respectively giving "high risk", "medium risk" and "low risk" "Risk" three-level electricity bill risk ...

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Abstract

A method for building a big data risk model for electricity charges, involving a risk control method. At present, the payment of electricity bills is carried out in a uniform frequency and in a unified way; on the one hand, there are problems of excessive calls and frequency, and on the other hand, there is a problem that payment cannot meet the target. The invention includes the following steps: 1) data preparation, 2) index system construction, 3) correlation analysis, 4) model construction, 5) model output, and 6) electricity charge risk difference processing. This technical solution focuses on high-risk users and improves the pertinence of reminders. For low-risk users, it is possible to appropriately reduce reminders and notifications, reduce the frequency of reminders, and give priority to the promotion of electronic bills; focus on collection work for high-risk users and increase the frequency of reminders; effectively optimize and concentrate resources to increase the success rate of collections .

Description

technical field [0001] The present invention relates to a method for building an electricity risk model, in particular to a method for building a big data risk model for electricity. Background technique [0002] At present, the payment of electricity bills is carried out in a uniform frequency and method; customers who pay electricity bills on time and customers who are at risk of paying electricity bills have the same method and frequency of payment. On the one hand, there are too many calls and frequencies. There is a problem that payment cannot achieve the goal, wasting resources and increasing risks. Contents of the invention [0003] The technical problem to be solved and the technical task proposed by the present invention are to perfect and improve the existing technical solutions, and to provide a method for building a big data electricity risk model to achieve the purpose of reducing workload and risk. For this reason, the present invention takes the following t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0635G06Q50/06
Inventor 罗飞鹏涂莹欧阳柳林森金慧颂周斌马德荣王庆娟龙正雄王海波柯方圆卢姗姗孔旭锋林士勇吴亮
Owner NINGBO POWER SUPPLY COMPANY STATE GRID ZHEJIANG ELECTRIC POWER
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