Energy Consumption Analysis and Optimization of Energy Storage Power Station Lighting System Based on Deep Learning
ZHOU Dan
Abstract：In order to solve the problems of high energy consumption and slow control response of energy storage power station lighting systems,this paper systematically analyzes the lighting load composition,energy consumption characteristics and operation mode,and proposes a multivariable load prediction and intelligent dimming control strategy based on deep learning,by introducing a dual-channel neural network structure and adaptive optimization mechanism,dynamic prediction of lighting power and energy-saving scheduling control are realized,in order to provide technical reference for energy efficiency improvement of lighting systems in energy storage scenarios.
Keywords：Deep learningEnergy storage power stationLighting system energy consumption analysisOptimization
Publication Date：2026-01-25
Online Publishing Date：2026-03-05(First online date of this platform, not the publication date of the document)
Pages：3( 150-152 )