Research on Service Routing Allocation Method of Smart Grid Communication Network Driven by Deep Reinforcement Learning
Under the background of modernization,in order to ensure the stable operation of power system,relevant personnel need to gradually promote the construction of smart grid according to the actual situation.Smart grid takes the acquisition,processing and protection of various data as the core,and establishes an integrated communication system.This paper analyzes the service routing method of smart grid communication network driven by deep reinforcement learning,in order to improve the utilization rate of communication resources and improve the stability and reliability of service routing method.
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