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Frontiers of Information Technology & Electronic Engineering >> 2022, Volume 23, Issue 12 doi: 10.1631/FITEE.2200035
Interpreting the vulnerability of power systems in cascading failures using multi-graph convolutional networks
Affiliation(s): State Key Lab of CAD & CG, Zhejiang University, Hangzhou 310058, China; China Electric Power Research Institute, Beijing 100192, China; College of Computer Science and Technology, Zhejiang University, Hangzhou 310058, China; less
Abstract
Keywords
Power systems ; Vulnerability ; Cascading failures ; Multi-graph convolutional networks ; Weighted line graph
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