Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/45906
Title: Active control of Indoor Environmental Quality
Authors: Raphael, B. 
Tham, K.W. 
Sekhar, S.C. 
Keywords: Building automation
Control
Indoor environmental quality
Multi-objective optimization
Issue Date: 2007
Source: Raphael, B.,Tham, K.W.,Sekhar, S.C. (2007). Active control of Indoor Environmental Quality. Automation and Robotics in Construction - Proceedings of the 24th International Symposium on Automation and Robotics in Construction : 119-123. ScholarBank@NUS Repository.
Abstract: This paper presents a methodology for the integrated control of Indoor Environmental Quality. The most important aspect of the methodology is the treatment of the task as a multi-objective optimization problem. Appropriate control actions that achieve reasonable tradeoffs among conflicting objectives are selected through multi-objective optimization in which predictive models are trained using machine learning techniques. The methodology is currently being implemented and tested in the Field Environmental Chambers (FEC) of the Department of Building, National University of Singapore.
Source Title: Automation and Robotics in Construction - Proceedings of the 24th International Symposium on Automation and Robotics in Construction
URI: http://scholarbank.nus.edu.sg/handle/10635/45906
ISBN: 9788190423519
Appears in Collections:Staff Publications

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