Investigates generative AI models (diffusion models, VAEs, GANs) coupled with distributed edge computing to simulate synthetic grid disturbances, reconstruct missing telemetry packets, and augment transmission stability across high-latency wide-area power networks.
@article{sajjadi2024genai,
title = {Generative Artificial Intelligence for Distributed Learning to Enhance Smart Grid Communication},
author = {Sajjadi Mohammadabadi, Seyed Mahmoud and Entezami, Mahmoudreza and Moghaddam, Aidin Karimi and Orangian, Mansour and Nejadshamsi, Shayan},
journal = {International Journal of Intelligent Networks},
volume = {5},
pages = {267--274},
year = {2024},
publisher = {Elsevier},
doi = {10.1016/j.ijin.2024.09.002}
}