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20182024
most citedFederated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management

122 citations · 446 across the 9 of their papers we have counts for

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physics.soc-ph2018★ 49 cited

Method for Quantitative Estimation of the Risk Propagation Threshold in Electric Power CPS Based on Seepage Probability

Zhaoyang Qu, Yu Zhang, Nan Qu +3

Because of the non-uniformity of the electric power CPS network and the dynamic nature of the risk propagation process, it is difficult to quantify the critical point of a cyber ri…