Anomaly detection in smart grids using machine learning

Today’s smart power system is threatened by an increasing number of cyberattack events, fast and accurate detection of attack events is essential for the safe and reliable operation of the smart grid. In this dissertation, anomaly detection strategies based on reinforcement learning (RL) are propose...

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書目詳細資料
主要作者: Li, Xiang
其他作者: Tay Wee Peng
格式: Thesis-Master by Coursework
語言:English
出版: Nanyang Technological University 2022
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在線閱讀:https://hdl.handle.net/10356/162511
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