SynEnergy learns region-level anomaly semantics from residual energy data and injects them into a diffusion generator, improving anomaly preservation fidelity by an average of 12.21% over 11 baselines.
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SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation
SynEnergy learns region-level anomaly semantics from residual energy data and injects them into a diffusion generator, improving anomaly preservation fidelity by an average of 12.21% over 11 baselines.