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.
Opf-hgnn: Generalizable heterogeneous graph neural networks for ac optimal power flow
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
use method 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.