Abstract: With the increasing demand for scientific computing and visualization, efficient storage and reconstruction of flow field data have become critical challenges. Conventional flow field ...
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 ...
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