Abstract: Network Intrusion Detection Systems (NIDS) are critical components of modern cybersecurity infrastructure. Developing robust machine learning (ML)-driven NIDS requires extensive network ...
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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