Power grid user electricity charge recovery model construction method based on big data

Abstract

The invention discloses a power grid user electricity charge recovery model construction method based on big data, which analyzes electricity charge paying behaviors and client basic attribute characteristics of different clients, and performs client electricity charge recovery risk prediction, thereby being favorable for taking different electricity charge recovery strategies and prevention measures for different clients in advance, guaranteeing enterprise electricity charge income and effectively controlling enterprise operation risks.

Description

technical field [0001] The invention relates to a method for constructing a power grid user's electricity charge recovery model based on big data, which uses an algorithm model to analyze the electricity charge payment behavior of different customers and the basic attribute characteristics of customers, predicts the risk of electricity charge recovery for customers, and conducts for customers in the system The logo is conducive to adopting differentiated electricity fee recovery strategies and preventive measures for different customers in advance, ensuring the electricity fee income of the enterprise, and effectively controlling the business risk of the enterprise. Background technique [0002] At present, the power sector in most areas of our country adopts the system of paying the electricity fee after using the electricity first, which provides the possibility of defaulting or not paying the electricity fee. In addition, there are also deficiencies in the legal provision...

AI Technical Summary

Problems solved by technology

In addition, there are also deficiencies in the legal provisions, such as Article 30 of the "Regulations on Electricity Supply and Use": If the electricity fee is not paid within the due date, the power supply company may impose additional liquidated damages from the overdue date, and the overdue date exceeds 30 days. , if the electricity fee has not been paid after being urged, the power supply enterprise may stop power supply in accordance with the procedures stipulated by the state

In fact, if there is a power outage on 30 days after the due date, the user has already used electricity for 2 months, which will further increase the risk of arrears borne by the power supply company.

[0003] The electricity bill recycling work involves thousands of households, with many points, a wide area, and a large amount, and the recycling work faces many risks

Especially after the 18th National Congress of the Communist Party of China, the central government’s anti-"four winds" special governance continued to advance, and the catering, tourism, clubs and other industries were poorly managed; industrial transformation and upgrading, the elimination of backward production capacity, traditional papermaking, textiles, printing, chemicals, building materials, Coal, farming and other industries are facing shutdown, making the situation of electricity fee recovery more severe

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