FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids

arXiv:2403.17494v1 Announce Type: new
Abstract: Predicting and classifying faults in electricity networks is crucial for uninterrupted provision and keeping maintenance costs at a minimum. Thanks to the advancements in the field provided by the smart grid, several data-driven approaches have been proposed in the literature to tackle fault prediction tasks. Implementing these systems brought several improvements, such as optimal energy consumption and quick restoration. Thus, they have become an essential component of the smart grid. However, the robustness and security …

arxiv cs.cr data data-driven eess.sp electrical electrical grids electricity generative grid literature maintenance networks prediction resilient smart smart grid thanks