Research on Intelligent Monitoring System for Anti-stealing Electricity

In the daily operation of the power system, stealing electricity often occurs, which makes the power supply enterprises and the country suffer huge economic losses. In view of this series of situations, the power supply enterprises and the state also analyze and study the anti-stealing technology. In this paper, based on the K-means algorithm and LSTM algorithm of electricity theft detection system for the experimental object, the common methods of stealing electricity and stealing electricity characteristics are studied. Secondly, the decision-making model of electricity theft prevention based on data-driven is established. The K-means clustering algorithm is used to cluster the big data of electricity consumption information, and the decision-making model of electricity theft prevention based on K-means is established. The experimental results show that the intelligent detection system based on K-means and LSTM algorithm plays a certain role in preventing power theft between power supply enterprises and people in the future, and its successful application can reduce the loss of a lot of electricity theft and human, material and financial resources.