270 citations · 335 across the 14 of their papers we have counts for
4 papers · 1 filter
A Statistical Learning Approach to Reactive Power Control in Distribution Systems
Qiuling Yang, Alireza Sadeghi, Gang Wang +2
Pronounced variability due to the growth of renewable energy sources, flexible loads, and distributed generation is challenging residential distribution systems. This context, moti…
Two-Timescale Voltage Control in Distribution Grids Using Deep Reinforcement Learning
Qiuling Yang, Gang Wang, Alireza Sadeghi +2
Modern distribution grids are currently being challenged by frequent and sizable voltage fluctuations, due mainly to the increasing deployment of electric vehicles and renewable ge…
Distributed Network Caching via Dynamic Programming
Alireza Sadeghi, Antonio G. Marques, Georgios B. Giannakis
Next-generation communication networks are envisioned to extensively utilize storage-enabled caching units to alleviate unfavorable surges of data traffic by pro-actively storing a…
Deep Reinforcement Learning for Adaptive Caching in Hierarchical Content Delivery Networks
Alireza Sadeghi, Gang Wang, Georgios B. Giannakis
Caching is envisioned to play a critical role in next-generation content delivery infrastructure, cellular networks, and Internet architectures. By smartly storing the most popular…