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: A novel reinforced dual-flow neural network based on attention and a polynomial-based radial basis function network (DFBTP) is proposed to enhance classification performance on tabular data.
The Trump administration’s move to give deportation officials access to Medicaid data is putting hospitals and states in a bind as they weigh whether to alert immigrant patients that their personal ...
The outlook for electric grid reliability in North America is worsening, as demand may outpace supply in the years ahead, according to a key watchdog. In its annual Long-Term Reliability Assessment, ...
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