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Cyber-Physical Risk Driven Routing Planning with Deep Reinforcement-Learning in Smart Grid Communication Networks

机译:在智能电网通信网络中通过深度强化学习的网络物理风险驱动路由规划

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In modern grid systems which is a typical cyber-physical System (CPS), information space and physical space are closely related. Once the communication link is interrupted, it will make a great damage to the power system. If the service path is too concen
机译:在作为典型的网络物理系统(CPS)的现代网格系统中,信息空间和物理空间紧密相关。一旦通讯链路中断,将对电源系统造成极大的损害。如果服务路径过于狭窄

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