Synthetic Power Flow Data Generation Using Physics-Informed Denoising Diffusion Probabilistic Models
In smart grid, data-driven modules and applications rely on access to high-quality power flow data; however, real-world data are often limited due to privacy and operational constraints. This paper ...
Abstract: Traffic flow prediction is fundamental to intelligent transportation systems, requiring accurate modeling of complex spatio-temporal dependencies. Existing methods typically assume ...
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