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Generating Synthetic Net Load Data with Physics-informed Diffusion Model
A comprehensive set of evaluation metrics is used to assess the accuracy and diversity of the generated synthetic net load data.
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.
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