Cascading Failure

Cascading failures describe the propagation of initial failures through interconnected systems, leading to widespread disruptions. Current research heavily focuses on predicting and mitigating these failures, particularly in power grids, using models like graph neural networks and diffusion models to analyze network interactions and identify vulnerable components. These models leverage data-driven approaches, incorporating attention mechanisms and hyperparameter optimization to improve prediction accuracy and resilience assessment. Understanding and predicting cascading failures is crucial for enhancing the robustness of critical infrastructure and preventing large-scale outages.