Multivariate predictive window blind control models for intelligent building façade systems

This paper presents results from a window blind usage field study that was conducted in California, USA. In this study, the measurements of physical environmental conditions were cross-linked with participants’ window blind controlling preferences (n=83). A total of seven predictive window blind control multivariate logistic models were derived. As hypothesized, the probability of a window blind closing event increased as the magnitude of physical environmental and confounding factors increased (p < .01).