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.
Hardware-in-the-loop (hil) simulations for smart grid impact studies
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
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.