Establishment method and system of electricity stealing user prediction model, storage medium and equipment

A technology of prediction model and establishment method, which is applied in the field of establishment of electricity stealing user prediction model, which can solve problems such as strong dependence, inability to accurately and efficiently identify electricity stealing users, and inability to fully apply investigation and punishment methods for electricity theft

Inactive Publication Date: 2021-10-29
TELLHOW SOFTWARE
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to propose a method, system, storage medium and equipment for establishing a predictive model of electricity stealing users, so as to solve the problem that the existing technology is too dependent on people, and the target of catching theft and leak detection is not clear, and cannot be accurately and efficiently Identifying electricity stealing users cannot be fully applied to investigate and deal with all electricity stealing methods

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Establishment method and system of electricity stealing user prediction model, storage medium and equipment
  • Establishment method and system of electricity stealing user prediction model, storage medium and equipment
  • Establishment method and system of electricity stealing user prediction model, storage medium and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] Such as figure 1 As shown, the embodiment of the present invention provides a method for establishing a user prediction model for stealing electricity, including steps S101-S105.

[0055] S101. Obtain electricity consumption data of multiple users and power grid operation data of the stations to which the users belong.

[0056] Wherein, the step of obtaining user data includes:

[0057] Read the message log of the database;

[0058] According to the message log, it is judged whether the electricity consumption data of the user and the operation data of the power grid of the station area to which the user belongs are complete;

[0059] If the user's power consumption data and the power grid operation data of the station area to which the user belongs have arrived, then collect the power consumption data of the user and the power grid operation data of the station area to which the user belongs from the database and analyze the abnormal data Conduct an audit.

[0060]...

Embodiment 2

[0114] Please refer to figure 2 , the present embodiment provides a system for establishing a prediction model for electricity stealing users, including:

[0115] Acquisition module: used to obtain the electricity consumption data of multiple users and the operation data of the power grid in the station area to which the user belongs.

[0116] Analysis module: used to extract all features from the user’s electricity consumption data and the power grid operation data of the station area to which the user belongs, perform a correlation analysis between all the features and whether the user steals electricity, and extract all features from all Among the above features, the associated features that are highly correlated with whether the user steals electricity are screened out.

[0117] Wherein, the associated features include user ID, user power consumption time point, power consumption reduction ratio, number of times power factor is less than 0.8, station ID, current unbalanc...

Embodiment 3

[0145] Please refer to image 3 On the other hand, the present invention also proposes a device for establishing a predictive model of electricity stealing users, which is shown as the device for establishing a predictive model of electricity stealing users in the third embodiment of the present invention, including a memory 20, a processor 10, and a device stored in a memory and a computer program 30 that can run on the processor, and when the processor 10 executes the computer program 30, the above-mentioned method for establishing a predictive model for electricity stealing users is realized.

[0146] Wherein, the device for establishing the electricity stealing user prediction model may specifically be a computer, a server, a host computer, etc., and the processor 10 may be a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller in some embodiments , a microprocessor or other data processing chips, for running program codes stored in the m...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides an electricity stealing user prediction model establishment method and system, a storage medium and equipment, and the method comprises the steps: obtaining the power utilization data of a plurality of users and the power grid operation data of a transformer area where the users belong, extracting all features, carrying out the correlation analysis between all features and whether the users steal electricity or not, and obtaining a prediction result, and obtaining all characteristics of a user, screening out associated characteristics with high correlation with whether the user steals electricity from all the characteristics; making an electricity stealing training table of each user according to the associated characteristics of each user and a corresponding data value, and classifying and marking the electricity stealing training table of each user according to an electricity stealing result of whether the user steals electricity so as to obtain the electricity stealing training table marked with an electricity stealing code or a non-electricity stealing code; and making an electricity stealing training set according to the electricity stealing training tables marked by all users in a classified mode, and inputting the electricity stealing training set into an initial prediction model to be trained so as to obtain a pre-trained prediction model. The prediction model can be used for rapidly and accurately predicting whether the user steals electricity or not.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method, system, storage medium and equipment for establishing a forecasting model of electricity stealing users. Background technique [0002] For a long time, electricity theft has been repeatedly prohibited in society. Electricity theft not only seriously endangers the life and property safety of other users, disrupts the operation and management of power companies and the order of power supply, but also poses a threat to the development of the national economy in severe cases. Therefore, how to judge the electricity stealing user is an urgent problem to be solved at present. [0003] The traditional judgment of electricity theft and leakage mainly uses methods such as regular inspections, regular calibration of electricity meters, and user reports of electricity theft to detect electricity theft or metering device failures. It is clear that it is impossible to accurately and ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06Q50/06
CPCG06Q50/06G06F18/24G06F18/214
Inventor 黄鑫张远来樊启俊熊福喜董清龙王梦辉
Owner TELLHOW SOFTWARE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products