4 papers · 1 filter
Towards Cyber-Physical Cognition: A Unified Ontology-Driven Knowledge Graph for Real-Time Autonomous Grid Operations
Sathvik Sankaranarayanan, Michael Mandulak, Ibrahim Shahbaz +1
Modern power systems and smart grids are often composed of fragmented and heterogeneous data silos, which lack the cohesion needed for effective cross-domain analysis. For this, th…
Causal--Structural Dynamic Graph Learning for Online Transient Stability Trajectory Prediction in Power Systems
Ibrahim Shahbaz, Omar Al-Refai, Isaac Lagoy +3
Power systems consist of dynamically coupled generators, motivating the use of Graph Neural Networks (GNNs) for online transient stability prediction. Traditional GNN frameworks ar…
Inertia-Informed Federated Learning Control Framework for Distributed Smart Grid Resilience
Ibrahim Shahbaz, Omar Al-Refai, Eman Hammad
Resilient-by-design smart grid control demands frameworks capable of maintaining stability under physical disturbances and communication failures, without reliance on centralized c…
An Interpretable Federated Learning Control Framework Design for Smart Grid Resilience
Ibrahim Shahbaz, Eman Hammad, Abdallah Farraj
Power systems remain highly vulnerable to disturbances and cyber-attacks, underscoring the need for resilient and adaptive control strategies. In this work, we investigate a data-d…