Smart Grid Data Anomaly Detection Method Based on Cloud Computing Platform

Aiming at the problem of untimely fault detection caused by the large number and wide distribution of power grid equipment, this paper designs a cloud computing platform-based smart grid data anomaly detection method. This method uses cloud computing architecture to design a grid smart cloud platform, and realizes the aggregation and storage of large amounts of data in the cloud platform. After that, the STL decomposition method is used to decompose the electricity meter data on the cloud platform, and then the decomposed residual data is used for abnormal analysis to complete the detection of abnormal data in the smart grid. And the accuracy of the method is verified through experiments.