Cascading failure in renewable power systems is a hot topic that attracts most researchers
worldwide. This paper discusses the phenomena of blackout and cascading failure in terms …

Cascading failures in power grids, where failures propagate from one component to another,
are a major cause of large-scale blackouts. With renewed interest in enhancing power grid …

The strong randomness of new energy, the weak anti-disturbance ability of power electronic
equipment, and the interactive influence of multiple uncertainties in the source, network, and …

A robust system should perform well under random failures or targeted attacks, and
networks have been widely used to model the underlying structure of complex systems such …

Graph representation learning with the family of graph convolution networks (GCN) provides
powerful tools for prediction on graphs. As graphs grow with more edges, the GCN family …

The global energy market has seen a massive increase in investment and capital flow in the
last few decades. This has completely transformed the way power grids operate-legacy …

Networks (or interchangeably graphs) have been ubiquitous across the globe and within
science and engineering: social networks, collaboration networks, protein-protein interaction …