Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

The relevant codes of our work "Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures".

The relevant data and codes of our ISCAS2022 work "Predicting Onset Time of Cascading Failure in Power Systems Using A Neural Network-based Classifier".

Tree partitioning algorithms for power networks

An R package for complex network analysis of cascading failures on power grids

Source code for the papers: Real-Time Risky Fault-Chain Search using Time-Varying Graph RNNs (ICLR) / GRNN-Based Real-Time Fault Chain Prediction (IEEE TPS). Built with PyTorch.

Source code for the papers: RL for Mitigating Cascading Failures: Targeted Exploration via Sensitivity Factors (NeurIPS) / Blackout Mitigation via Physics-guided RL (IEEE TPS). Built with TensorFlow.