Abstract: The combinatorial nature of restoration decisions, especially under increased grid-forming inverter-based resources (IBRs), renders classical optimization intractable for large systems. To ...
Abstract: Deep learning (DL) models have been proven to be highly effective in detecting false data injection attacks (FDIAs) in smart grids relying only on the measurements of the secured component.
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