A diffusion-covering fusion framework for scenario generation and uncertainty representation in urban prosumer microgrids

doi:10.1016/j.apenergy.2026.128390

A diffusion-covering fusion framework for scenario generation and uncertainty representation in urban prosumer microgrids

2026-07-25

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DOI：10.1016/j.apenergy.2026.128390

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• A diffusion-covering fusion framework (DiCF-Net) is proposed for PV uncertainty. • Conditional diffusion with trend-seasonal decomposition enhances generation fidelity. • Finite covering theory reduces scenario scale while preserving uncertainty features. • DiCF-Net improves accuracy by 33.7% and robustness in microgrid scheduling.

A diffusion-covering fusion framework for scenario generation and uncertainty representation in urban prosumer microgrids

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