20 citations · 20 across the 2 of their papers we have counts for
5 papers
Physics-Aware Heterogeneous GNN Architecture for Real-Time BESS Optimization in Unbalanced Distribution Systems
Aoxiang Ma, Salah Ghamizi, Jun Cao +1
Battery energy storage systems (BESS) have become increasingly vital in three-phase unbalanced distribution grids for maintaining voltage stability and enabling optimal dispatch. H…
PowerGraph-LLM: Novel Power Grid Graph Embedding and Optimization with Large Language Models
Fabien Bernier, Jun Cao, Maxime Cordy +1
Efficiently solving Optimal Power Flow (OPF) problems in power systems is crucial for operational planning and grid management. There is a growing need for scalable algorithms capa…
SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids
Aoxiang Ma, Salah Ghamizi, Jun Cao +1
As machine learning (ML) techniques gain prominence in power system research, validating these methods' effectiveness under real-world conditions requires real-time hardware-in-the…
PowerFlowMultiNet: Multigraph Neural Networks for Unbalanced Three-Phase Distribution Systems
Salah Ghamizi, Jun Cao, Aoxiang Ma +1
Efficiently solving unbalanced three-phase power flow in distribution grids is pivotal for grid analysis and simulation. There is a pressing need for scalable algorithms capable of…
SafePowerGraph: Safety-aware Evaluation of Graph Neural Networks for Transmission Power Grids
Salah Ghamizi, Aleksandar Bojchevski, Aoxiang Ma +1
Power grids are critical infrastructures of paramount importance to modern society and their rapid evolution and interconnections has heightened the complexity of power systems (PS…