Research on the Construction of Glare Prediction Model for Daylighting with Intelligent Sunshade Louvers in Open Office Spaces
LUO Zhaoyang
QI Xuanning
DONG Qi
Abstract：In multi-window and multi-zone an open office spaces,it is challenging to regulate the glare caused by natural daylighting using intelligent sunshade louvers.It is necessary to coordinate the best visual comfort in different areas and also consider the combined influence effects under different sunshade forms of louvers.Benefiting from the wave of artificial intelligence technology,using machine learning algorithms to construct effective glare prediction models has become a powerful means to solve the glare regulation of intelligent sunshade louvers in open office spaces.Based on this,through relevant experiments,this study comprehensively compares the construction performance of glare prediction models of different machine learning algorithms and obtains the best machine learning algorithm to achieve the construction of an effective glare prediction model for natural daylighting with intelligent sunshade louvers in open office spaces.
Keywords：smart shadingglare controlglare predictive modelmachine learning
Publication Date：2024-08-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：12( 69-80 )