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Found 3 papers, 1 papers with code
Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models
The global deployment of the phasor measurement units (PMUs) enables real-time monitoring of the power system, which has stimulated considerable research into machine learning-based models for event detection and classification.
pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events
This paper introduces pmuGE (phasor measurement unit Generator of Events), one of the first data-driven generative model for power system event data.
pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events -- Part I: Overview and Results
We have trained this model on thousands of actual events and created a dataset denoted pmuBAGE (the Benchmarking Assortment of Generated PMU Events).
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