Feng-Xiang Zhang

Conformalized graph neural networks for distribution system state estimation with finite-sample-valid uncertainty quantification

Distribution system state estimation provides the network-wide voltage awareness required to operate active feeders, yet scarce real-time metering forces reliance on uncertain pseudo-measurements. This paper studies how to attach empirically auditable, finite-sample prediction intervals to learned network-wide voltage...