Research on Modeling and Simulation of Abnormal Electricity Consumption Behavior Prediction Based on Support Vector Machine
The safe operation of the power grid is an important foundation guarantee for the stable development of social and economic order. The frequent occurrence of abnormal electricity consumption behavior poses a serious threat to the safe operation of the power grid. Currently, the methods used for abnormal electricity consumption behaviors such as electricity theft are becoming increasingly high-tech. How to accurately and efficiently identify abnormal electricity consumption behaviors is an urgent technical problem that needs to be solved. In this regard, this article uses support vector machine algorithm to model and simulate abnormal electricity consumption behavior, and constructs a predictive model with good classification effect, which can accurately identify users with abnormal electricity consumption behavior, ensuring the safe operation of the power grid.
power gridsupport vector machineabnormal electricity consumption behaviorpredictive modeling
万方数据
维普
