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Yingkai Zhen on Muck Rack

Yingkai Zhen

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Articles

Anomaly detection method for power dispatch streaming data based on adaptive isolation forest and self-supervised learning

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By Tenglong Xie, Hao Wei, Jingyin Huang, Yingkai Zhen, Kunhuan Xu
| Frontiers
Information Center of Guangdong Power Grid Co., Ltd., Guangzhou, China Introduction: To address the issues of concept drift and scarcity of anomaly samples in real-time anomaly detection under the massive streaming data environment of power dispatching and control systems, this study focuses on developing an effective detection method. Methods: We propose a streaming data anomaly detection method integrating adaptive isolation forests and self-supervised learning.
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