Fine-tuning a graph neural network on real-time simulator data improves its state estimates on that simulator, but no physical grid hardware is involved.
Machine learning based modeling for real-time inferencer-in-the-loop hardware emulation of high-speed rail microgrid
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SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids
Fine-tuning a graph neural network on real-time simulator data improves its state estimates on that simulator, but no physical grid hardware is involved.