Title :
Particle swarm optimiation based sky luminance model recognition algorithm
Author :
Xiao, Hui ; Zhang, Yi ; Yan, Yong ; Wang, Jinguang
Author_Institution :
Dept. of Control Sci. & Eng., Tongji Univ., Shanghai
Abstract :
Sky luminance model recognition algorithm is proposed, using particle swarm optimization. Based on spatial distribution of daylight CIE standard general sky, intelligent particle swarm optimization algorithm is applied to compute and recognize arbitrary sky. Hence the type of current sky can be identified quickly. The algorithm lays a theory foundation for the daylight utility adequately to realize green lights.
Keywords :
atmospheric techniques; daylighting; geophysics computing; particle swarm optimisation; sky brightness; daylight CIE standard; intelligent particle swarm optimization; sky luminance model recognition; spatial distribution; Automation; Distributed computing; Energy conservation; Intelligent control; Particle swarm optimization; Architectural energy conservation; CIE standard general sky; Green lights; Particle swarm optimization;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593525
