Exploration of Intelligent Energy Saving Control Strategies for Communication Power Supply
This study aims to explore intelligent energy-saving control strategies for communication power supplies to address issues such as high energy consumption and low efficiency in the field of communication.In order to address this issue,this study analyzes the application of deep learning in communication power systems and introduces an intelligent energy-saving control method.This method combines deep learning algorithms to propose the viewpoint of energy-saving control,and designs corresponding experimental verification based on the energy consumption characteristics of communication power systems and intelligent control technology.The research results show that the intelligent energy-saving control strategy using deep learning algorithms provides a new solution for the sustainable development of the communication field,which can significantly reduce the energy consumption of communication power systems and improve system efficiency.
communication power supplyintelligent energy-saving controldeep learningenergy consumptionsystem efficiency
万方数据
维普
