11 citations · 22 across the 7 of their papers we have counts for
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eess.SY2022★ 4 cited
Performance Comparison of Deep RL Algorithms for Energy Systems Optimal Scheduling
Hou Shengren, Edgar Mauricio Salazar, Pedro P. Vergara +1
Taking advantage of their data-driven and model-free features, Deep Reinforcement Learning (DRL) algorithms have the potential to deal with the increasing level of uncertainty due…
eess.SY2022★ 1 cited
Behind Closed Doors: Process-Level Rootkit Attacks in Cyber-Physical Microgrid Systems
Suman Rath, Ioannis Zografopoulos, Pedro P. Vergara +2
Embedded controllers, sensors, actuators, advanced metering infrastructure, etc. are cornerstone components of cyber-physical energy systems such as microgrids (MGs). Harnessing th…