A two-stage framework combining conditional flow matching with a topology-aware power-flow-guided refiner improves the accuracy and physical consistency of missing power grid data imputation.
Unsupervised and controllable synthesizing f or imbalanced energy dataset based on AC - InfoGAN,
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Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks
A two-stage framework combining conditional flow matching with a topology-aware power-flow-guided refiner improves the accuracy and physical consistency of missing power grid data imputation.