5 citations · 5 across the 2 of their papers we have counts for
2 papers
eess.SY2022★ 5 cited
DiME and AGVis: A Distributed Messaging Environment and Geographical Visualizer for Large-scale Power System Simulation
Nicholas Parsly, Jinning Wang, Nick West +3
This paper introduces the messaging environment and the geographical visualization tool of the CURENT Large-scale Testbed (LTB) that can be used for large-scale power system closed…
eess.SY2022
Deep Reinforcement Learning based Model-free On-line Dynamic Multi-Microgrid Formation to Enhance Resilience
Jin Zhao, Fangxing Li, Srijib Mukherjee +1
Multi-microgrid formation (MMGF) is a promising solution to enhance power system resilience. This paper proposes a new deep reinforcement learning (RL) based model-free on-line dyn…