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- W2999179616 abstract "This letter develops a flexible machine learning detection method for cyberattacks in distribution systems considering spatiotemporal patterns. Spatiotemporal patterns are recognized by the graph Laplacian based on system-wide measurements. A flexible Bayes classifier (BC) is used to train spatiotemporal patterns which could be violated when cyberattacks occur. Cyberattacks are detected by using flexible BCs online. The effectiveness of the developed method is demonstrated through standard IEEE 13and 123-node test feeders." @default.
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- W2999179616 date "2020-03-01" @default.
- W2999179616 modified "2023-10-01" @default.
- W2999179616 title "Flexible Machine Learning-Based Cyberattack Detection Using Spatiotemporal Patterns for Distribution Systems" @default.
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- W2999179616 doi "https://doi.org/10.1109/tsg.2020.2965797" @default.
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