Anomaly detection and classification in power system state estimation: Combining model-based and data-driven methods

Sustainable Energy, Grids and Networks - Tập 35 - Trang 101116 - 2023
Sajjad Asefi1,2, Mile Mitrovic2, Dragan Ćetenović3, Victor Levi4, Elena Gryazina2, Vladimir Terzija2
1Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, Tallinn, Estonia
2Center for Energy Science and Technology, Skolkovo Institute of Science and Technology, Moscow, Russia
3Faculty of Technical Sciences Čačak, University of Kragujevac, Serbia
4Department of Electrical and Electronic Engineering, University of Manchester, Manchester, UK

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