Probabilistic window opening model considering occupant behavior diversity: A data-driven case study of Canadian residential buildings
Abstract
It was found from monitored data from eight dwellings in a case study building in Quebec City (Canada) that there are clear differences in the window opening behavior between different households. This paper aims to develop from data a probabilistic window opening model that accounts for occupant behavior. Logit regression is employed to predict the state (opened/closed) of windows according to indoor and outdoor temperatures environmental and...
Paper Details
Title
Probabilistic window opening model considering occupant behavior diversity: A data-driven case study of Canadian residential buildings
Published Date
Mar 1, 2020
Journal
Volume
195
Pages
116981 - 116981
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