Abstract: This paper explores the detection and localization of cyber-attacks on time-series measurements data in power systems, focusing on comparing conventional machine learning (ML) like k-means, ...
Abstract: The large-scale integration of distributed energy resources into active distribution networks (ADNs) may significantly intensify voltage fluctuations and increase network losses. Traditional ...