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dc.contributor.author Daum, D
dc.contributor.author Haldi, F
dc.contributor.author Morel, N
dc.date.accessioned 2013-10-21T02:37:49Z
dc.date.available 2013-10-21T02:37:49Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/8775
dc.description.abstract A personalized measure for thermal comfort has been applied for use in combination with smart controls for building automation. Using data from a field study, we first show the superiority of personalized measures for thermal comfort compared to standard non-adaptive methods. Based on this knowledge we describe a methodology, using logistic regression techniques, to convert user votes to a probability of comfort. We also describe the interface used to collect the votes. We show that, for a given subject, our thermal profile converges against the probabilities found in the field study. As a case study we implemented the measure in a control algorithm to control the shading devices. The results clarify the mode of action and also show the effectiveness of the method.
dc.language en
dc.subject Thermal comfort
dc.subject Adaptive control
dc.subject Smart controller
dc.subject Building controller
dc.subject Adaptive model
dc.title A personalized measure of thermal comfort for building controls
dc.type Article-Full-text
dc.identifier.year 2011
dc.identifier.journal Building and Environment|
dc.identifier.issue 1
dc.identifier.volume 46
dc.identifier.database -
dc.identifier.pgnos 11-Mar


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