Jointly conditioning a diffusion-based inverse solver on multiple fault-event trajectories narrows the posterior over non-identifiable composite-load-model parameters and cuts mean parameter error by 58.6% in simulation.
Technical report, Western Electricity Coordinating Council (WECC) (2021)
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Diffusion Model-based Parameter Estimation in Dynamic Power Systems
Jointly conditioning a diffusion-based inverse solver on multiple fault-event trajectories narrows the posterior over non-identifiable composite-load-model parameters and cuts mean parameter error by 58.6% in simulation.