A method and system for identifying abnormal power consumption of users

Abstract

The embodiment of the invention discloses a method for identifying abnormal electricity utilization users. The method includes the following steps that multiple month line-loss rates of each line-loss line are obtained; whether each line-loss line has two month line-loss rates larger than the preset threshold or not is judged; if yes, the actual line-loss line and the line-loss mouth are determined; any time period in one line-loss month of one actual line-loss line is selected to be tested, sample data relevant to electricity utilization of all the users on the line in the test period are obtained, and the prior probabilities and the posterior probabilities of all the users are obtained; the category probabilities of all the uses are obtained with the Bayes formula according to the obtained prior probabilities and the obtained posterior probabilities of all the users, and the user with the largest numerical value in the obtained category probabilities is determined as the suspicion user. The embodiment of the invention further discloses a system for identifying the abnormal electricity utilization users. According to the method and system for identifying the abnormal electricity utilization users, the problems that in the prior art, when the users who steal and leak electricity are identified, a hardware prevention method is large in investment cost and a software prevention method is confined to individual users are solved.

Description

technical field [0001] The invention relates to the technical field of electricity leakage monitoring, in particular to a method and system for identifying abnormal electricity consumption of users. Background technique [0002] According to the literature research on electricity leakage monitoring at home and abroad, there are currently two main methods for electricity leakage prevention: First, this method is biased towards hardware research. By improving the sensitivity and real-time performance of anti-electricity leakage monitors, the ability to identify users of electricity leakage is improved. ; Second, this method is biased towards software research. By collecting data such as line loss electricity, line loss rate, user electricity, and power compliance related to electricity leakage, and combining statistical methods and data mining algorithms to build a electricity leakage monitoring model, the monitoring model for electricity leakage can be realized. Screening of ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to provide a method and system for identifying abnormal electricity users, which can solve the problems in the prior art that the investment cost of the hardware prevention method is large and the software prevention method is limited to the individual user when identifying the user who steals and leaks electricity.

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