Research on the Model of Intelligent Judgment of Abnormal Line Loss in Power System Technology Loss Reduction Simulation Based on Data Fusion

This paper proposes an intelligent judgment model of abnormal line loss in power system technology loss reduction simulation based on data fusion. The model integrates different types of sensor data to realize real-time monitoring and intelligent judgment of power system line loss. First, a multi-level data fusion framework based on sensor data and power load data is designed to effectively integrate data from different sources, eliminate noise influence, and improve detection accuracy. Then, intelligent algorithms such as SVM and DT are used to process and analyze the fused data, to realize early warning of abnormal line loss and optimization of technical loss reduction scheme. The simulation results show that the system can accurately detect abnormal line loss under different power load scenarios, and show high stability and accuracy. In the actual power system, the system's recognition accuracy of abnormal line loss reaches more than 95%, and it can still maintain an accuracy of more than 90% under load fluctuation and noise interference conditions. The data analysis system provides a scientific basis for power operation and maintenance personnel, which can effectively reduce the operating cost of the power system and improve the reliability and safety of the system.