Sensor-Aware Joint Data Fusion and State Estimation under Sparse Multi-rate Distribution Grid Sensing
The work proposes a two-stage pipeline using a heterogeneous latent graph ODE and a graph-transformer state estimator to solve distribution system state estimation with sparse, multi-rate sensor data. It fuses data from different sensors by aligning their features before feeding them into the estimator, proving effective across various IEEE feeder topologies even when observability degrades.