Search Results for author: Aoxiang Ma

Found 3 papers, 1 papers with code

SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids

no code implementations21 Jan 2025 Aoxiang Ma, Salah Ghamizi, Jun Cao, Pedro Rodriguez

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-loop (HIL) simulations.

Graph Neural Network

SafePowerGraph: Safety-aware Evaluation of Graph Neural Networks for Transmission Power Grids

1 code implementation17 Jul 2024 Salah Ghamizi, Aleksandar Bojchevski, Aoxiang Ma, Jun Cao

We provide at https://github. com/yamizi/SafePowerGraph our open-source repository, a comprehensive leaderboard, a dataset and model zoo and expect our framework to standardize and advance research in the critical field of GNN for power systems.

Graph Attention Self-Supervised Learning

PowerFlowMultiNet: Multigraph Neural Networks for Unbalanced Three-Phase Distribution Systems

no code implementations1 Mar 2024 Salah Ghamizi, Jun Cao, Aoxiang Ma, Pedro Rodriguez

PowerFlowMultiNet outperforms traditional methods and other deep learning approaches in terms of accuracy and computational speed.

Graph Embedding

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