User load electricity stealing model mining system and method based on complex user behavior analysis

Abstract

The invention provides a user load electricity stealing model mining system and method based on complex user behavior analysis. The system comprises a data processor, an electricity larceny suspect user discovering device, a user load curve generator and an electricity larceny user diagnosing device, the data processor is connected with the electricity larceny suspect user discovering device, theelectricity larceny suspect user discovering device is connected with the user load curve generator, and the user load curve generator is connected with the electricity larceny user diagnosing device.The DBSCAN density clustering algorithm is used for searching abnormal electricity users, then the fuzzy C-means algorithm is applied to generating a user load curve, and finally electricity stealingusers are detected through curve similarity comparison. Complex user load data are fully utilized to analyze user electricity consumption behaviors, and electricity stealing users can be well detected.

Description

technical field [0001] The invention relates to the field of data mining, in particular to a user load stealing power model mining system and method based on complex user behavior analysis. Background technique [0002] With the rapid development of my country's economy and the improvement of people's living standards, people's production and life are increasingly inseparable from electric energy, and the demand for electricity is also increasing. At the same time, the quality and reliability of electric energy are increasingly demanding. The user's electricity demand presents a diversified development trend. At present, my country has entered the era of fully building a smart grid. The data recorded by the electric energy metering automation system is growing exponentially, with a huge amount of data and a variety of structure types. Relevant data, such as current, voltage, and load, among which load data is the most widely used in the analysis of user electricity consumptio...

AI Technical Summary

Problems solved by technology

In the past, it generally relied on manual investigation and analysis of users suspected of stealing electricity, which consumed a lot of manpower and material resources. At present, the State Grid Corporation of China and various equipment manufacturers are actively exploring the use of real-time data such as metering automation systems to provide information for anti-stealing work. The means of modernization and intelligence can effectively combat the behavior of stealing electricity, which shows that the work of anti-stealing electricity is of great significance

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