An anomaly detection method for electric power information system based on improved k-means

Author:

HUANG Lin,CHANG Jian,YANG Fan,LI Yi,NIU Xinzheng

Publisher

China Science Publishing & Media Ltd.

Subject

Engineering (miscellaneous),Computer Science (miscellaneous)

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on panoramic anomaly detection method for super-scale heterogeneous cloud resources;2023 5th International Conference on Frontiers Technology of Information and Computer (ICFTIC);2023-11-17

2. Research on Stepwise Clustering and Fitting Method for Wind Power Based on Discrete Wavelet Transform;2023 3rd Power System and Green Energy Conference (PSGEC);2023-08

3. Health State Estimation of Electric Vehicle Power Battery Based on K-means Algorithm;2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC);2023-06-16

4. Anomaly Detection of Power Information System Based on Attention Mechanism CNN-LSTM;2023 2nd International Conference on Big Data, Information and Computer Network (BDICN);2023-01

5. Cleaning Method of Equipment Fault Database Based on ISOMAP Equidistant Mapping Clustering;2022 9th International Conference on Condition Monitoring and Diagnosis (CMD);2022-11-13

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