Intelligent System for Lighting Control in Smart Buildings

This paper presents an adaptive architecture that centralizes the control of buildings' lighting and intelligent management to economize lighting and maintain maximum visual comfort in illuminated areas. To carry out this management, the architecture merges various techniques of artificial intelligence. It achieves optimization in terms of both energy consumption and cost by using a modular architecture and is fully adaptable to current lighting systems. The architecture was successfully tested and validated and continues to be in development at Aula building of our university. The author expect this research to extend the study and adaptability of computer technique in design of Smart Buildings.