Detecting False Data Injection and Unstable Operation in Smart Grid via System-Aware Graph Boundary Learning
Cyber-physical power systems increasingly rely on data-driven tools to detect instability and support reliable grid operation. However, reliable stability prediction is difficult when unstable operating configurations are rare, sensitive, or unavailable during model development, since collecting such data safely and at...