Research on Urban Lighting Power Optimization in Smart Grid Environment
ZHAO Xiaolei
Abstract：A three-tier intelligent architecture integrating perception,transmission,and management is developed to address high energy consumption in urban lighting systems.A grey prediction model with nine factors enables dynamic load forecasting,while time-based dimming,environmental linkage,and distributed energy strategies drive efficient operation.A municipal retrofit achieved 43.0%electricity reduction and 154.6 tons of CO2 mitigation,demonstrating practical pathways for low-carbon urban lighting transformation.
Keywords：smart gridurban lightinggrey prediction modelload optimization
Publication Date：2026-02-25
Online Publishing Date：2026-03-12(First online date of this platform, not the publication date of the document)
Pages：3( 178-180 )