A system and method for mining electricity stealing model of user load 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, including a data processor, a suspected electricity stealing user finder, a user load curve generator and an electricity stealing user diagnostic device. The utility model is connected with the electricity stealing suspect user finder, the electricity stealing suspect user finder is connected with the user load curve generator, and the user load curve generator is connected with the electricity stealing user diagnostic device. The DBSCAN density clustering algorithm is used to find abnormal electricity users, and then the fuzzy C-means algorithm is applied to generate the user load curve, and finally the electricity stealing users are detected through the curve similarity comparison. Electricity behavior analysis can be used to detect electricity stealing users.

Description

technical field [0001] The invention relates to the field of data mining, in particular to a user load electricity stealing 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 more and more inseparable from electric energy, the demand for electricity is also increasing, and the quality and reliability of electric energy requirements are getting higher and higher. The electricity demand of users presents a diversified development trend. At present, my country has entered the era of comprehensively building a smart grid. The data recorded by the electric energy metering automation system is increasing exponentially, with a huge amount of data and various types of structures. Related data, such as current, voltage, load, among which the load data is the most used for the analysis of user's electric...

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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