SenseFlow combines virtual-node attention, slack-node gating, and self-ensembling iterative refinement to reduce power-flow estimation error on IEEE 39, 118, and 300 bus systems.
Physics- informed graphical neural network for power system state estimation
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SenseFlow: A Physics-Informed and Self-Ensembling Iterative Framework for Power Flow Estimation
SenseFlow combines virtual-node attention, slack-node gating, and self-ensembling iterative refinement to reduce power-flow estimation error on IEEE 39, 118, and 300 bus systems.