Biblio

Filters: Author is Lu, Ruixuan  [Clear All Filters]
2022-04-22
Zhang, Cuicui, Sun, Jiali, Lu, Ruixuan, Wang, Peng.  2021.  Anomaly Detection Model of Power Grid Data Based on STL Decomposition. 2021 IEEE 5th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC). 5:1262—1265.
This paper designs a data anomaly detection method for power grid data centers. The method uses cloud computing architecture to realize the storage and calculation of large amounts of data from power grid data centers. After that, the STL decomposition method is used to decompose the grid data, and then the decomposed residual data is used for anomaly analysis to complete the detection of abnormal data in the grid data. Finally, the feasibility of the method is verified through experiments.