Research on the Digital Control System for Power Communication Dispatch Based on Data-Drive Technology
This paper explores the potential application of data-driven techniques in power communication scheduling and designs a digital control system for power communication dispatch based on data-driven technology.The system comprehensively employs techniques such as Graph Neural Network(GNN)and deep reinforcement learning to achieve real-time perception,intelligent scheduling optimization,and automated control of power communication networks.The simulation experiment results demonstrate that the designed system has significant advantages in improving network resource utilization efficiency and ensuring service quality.
power communication schedulingdata-drivenintelligent optimization
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