Method for analyzing electricity consumption behaviors and determining electricity stealing probability based on big data

Abstract

The invention discloses a method for analyzing electricity consumption behaviors and determining an electricity stealing probability based on big data and relates to the field of user electricity consumption behavior analysis technology. The method comprises the processes of data extraction and integration, abnormal electricity consumption behavior analysis, establishment of an electricity stealing probability analysis model, electricity stealing probability determination and electricity stealing probability early warning. By use of the big data technology, on the one hand, the storage requirement of user electricity data, load data, abnormal electricity consumption behavior data and other high-density mass data can be met; and on the other hand, the big data calculation performance requirement of analysis of abnormal electricity consumption behaviors such as electricity anomaly, current loss and voltage line crossing and determination of the electricity stealing probability can be met.

Description

technical field [0001] The invention belongs to the technical field of user electricity consumption behavior analysis, and in particular relates to a method for determining the probability of stealing electricity based on big data analysis of electricity consumption behavior. Background technique [0002] With the rapid development of the economy and the continuous increase of electricity consumption, the problem of electricity theft has become more and more prominent. Although power supply companies have carried out a lot of work against electricity theft and formulated relevant preventive measures, the technology of electricity theft is also becoming more and more intelligent. , Stealing electricity is more covert. Traditional anti-stealing measures are difficult to detect electricity theft in time, and it is no longer possible to prevent variable electricity theft methods. The problem of stealing electricity not only affects the normal order of power supply and consumpti...

AI Technical Summary

Problems solved by technology

[0005] (1) Although the on-site manifestations of stealing electricity are various, the existing anti-stealing measures for various specific ways of stealing electricity can no longer adapt to the new type of stealing electricity

[0006] (2) Due to the lack of effective integration of real-time electricity consumption information of electricity customers during anti-stealing inspections, the anti-stealing inspections are less targeted

[0007] (3) The electricity stealing behavior of users cannot be detected in time, and some electricity stealing behaviors are often discovered only when the general survey or line loss is abnormal. For the situation of resisting inspection and destroying evidence, the electricity stealing behavior is difficult to find

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