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Electricity charge risk early-warning method and device

A technology of risk warning and electricity billing, applied in the field of electric power, can solve problems such as poor accuracy, time-consuming and labor-intensive, and achieve the effect of improving accuracy, ensuring stability and continuity

Inactive Publication Date: 2017-08-22
TAIAN POWER SUPPLY CO OF STATE GRID SHANDONG ELECTRIC POWER CO +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the above method, it is necessary for the staff in multiple departments in the power operation unit to cooperate with each other to complete the early warning of electricity cost risk, and the early warning is based on the experience of the staff, which is not only time-consuming and laborious, but also the accuracy of the early warning is poor
[0003] In view of the time-consuming and labor-intensive and poor accuracy of the existing electricity cost risk warning method, no effective solution has been proposed

Method used

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  • Electricity charge risk early-warning method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] see figure 1 The flow chart of the first electricity rate risk warning method shown; the method includes the following steps:

[0030] Step S102, obtaining the historical electricity consumption records and financial status data of the current user;

[0031] Specifically, the user's historical electricity consumption records can be obtained through the payment system of the power supply unit or the power operation unit; the historical electricity consumption records can include the user's current payment method and arrears records; the arrears records can include historical arrears Information such as frequency, historical arrears, and current arrears; the power supply unit or power operation unit can require the user to upload the user's financial status data on a regular basis; the financial status data can be financial statements, tax statements, etc., which can reflect the user's business status , profitability and other related data.

[0032] Step S104, according...

Embodiment 2

[0040] see figure 2 The flow chart of the second electric charge risk early warning method shown; the method is implemented on the basis of the electric charge risk early warning method provided in Embodiment 1, and the method includes the following steps:

[0041] Step S202, obtaining the historical electricity consumption records and financial status data of the current user;

[0042] Step S204, extracting the user's arrears data within a preset time period from the historical electricity consumption records;

[0043] For example, the electric power operation department may give the electric power risk warning to the user every year, and the above-mentioned preset time period can be the previous year or the first two years of the current year; Therefore, according to the arrears data, the risk degree of the user's electricity bill can be reasonably analyzed, and reasonable early warning measures can be made.

[0044] Step S206, obtaining the warning level corresponding to...

Embodiment 3

[0051] see image 3 The flow chart of the third electricity risk early warning method shown; the method is implemented on the basis of the electricity risk early warning method provided in Embodiment 2, and the method includes the following steps:

[0052] Step S302, obtaining the historical electricity consumption records and financial status data of the current user;

[0053] Step S304, extracting the user's arrears data within a preset time period from the historical electricity consumption records;

[0054] Step S306, obtaining the first warning score corresponding to the arrears data from the pre-stored correspondence between the arrears amount and the warning score;

[0055] Step S308, using machine learning methods to predict and analyze the financial status data to obtain the user's profit forecast data;

[0056] Machine learning (Machine Learning, ML) is the use of various theories such as probability theory, statistics, approximation theory, convex analysis, algori...

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Abstract

The invention provides an electricity charge risk early-warning method and device. The method comprises that a historical power utilization record and financial status data of a present user are obtained; an early-warning level of the user is determined according to the historical power utilization record and / or financial status data; an early-warning measure, including a fee paying manner, a prepay proportion and a guarantee sum, of the user is determined according to the early-warning level; and an early-warning measure report of the user is generated according to the early-warning measure. According to the invention, electricity risk early-warning can be raised for different users conveniently and rapidly, and the accuracy of electricity risk early-warning is improved.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to an electric charge risk early warning method and device. Background technique [0002] The existing early warning work of electricity cost risk is usually carried out under the leadership of the power operation unit. The organization corresponding to the business level and supervision level of the operating unit is responsible for the implementation of the early warning work, and formulates detailed implementation rules in light of the actual situation; the early warning processing office monitors possible occurrences Risk, regularly publish risk warning reports, supervision reports and risk management reports, supervise and guide the corresponding departments to complete the recovery of electricity charges. In the above method, it is necessary for the staff in multiple departments in the power operation unit to cooperate with each other to complete the early warning of e...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0635G06Q50/06
Inventor 张新忠王沈征赵建文高运兴沈本合葛霆万国超
Owner TAIAN POWER SUPPLY CO OF STATE GRID SHANDONG ELECTRIC POWER CO
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