Cascading failures pose a significant threat to power grids and have garnered considerable
research interest in the power system domain. The inherent uncertainty and severe impact …

This paper introduces a framework for online identification of cascading events in power
systems with renewable generation, based on supervised machine learning techniques and …

During power system cascading disturbances it becomes crucial to quickly identify the
vulnerable transmission interconnections. Understanding the impact of a triggering outage …

Higher variability in grid conditions, resulting from growing renewable penetration and
increased incidence of extreme weather events, has increased the difficulty of screening for …

This PhD project deals with the Modelling of Cascading Events in Power Systems and their
Online Identification with Machine Learning, considering the integration of Renewable …