Design and Implementation of Cable Temperature Remote Automation Control System Based on AI
A set of intelligent control system based on artificial intelligence has been designed to meet the demand for remote automation control of power cable temperature.The system uses deep learning algorithms to establish a temperature prediction model and utilizes reinforcement learning algorithms to optimize control strategies.Through simulation experiments,the precise control ability of the system for cable temperature under complex working conditions has been verified,providing new ideas for the safe and efficient operation of smart grids.
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