Towards a General Framework for an Observation and Knowledge based Model of Occupant Behaviour in Office Buildings. (November 2015)

• Record Type: Journal Article
• Authors: Tijani, Khadija; Ngo, Quoc Dung; Ploix, Stephane; Haas, Benjamin; Dugdale, Julie
• Is Part Of: Energy procedia. Volume 78(2015)
• Page Start: 609
• Page End: 614
• Publication Date: 2015-11
• Subjects: occupant behaviour -- indoor air quality -- bayesian network; Power resources -- Congresses; Power resources -- Periodicals; Power resources; Conference proceedings; Periodicals; 333.7905
• DOI: 10.1016/j.egypro.2015.11.035
• Languages: English
• ISSNs: 1876-6102

Abstract

Abstract: This paper proposes a new general approach based on Bayesian networks to model the human behaviour. This approach represents human behaviour with probabilistic cause-effect relations based not only on previous works, but also with conditional probabilities coming either from expert knowledge or deduced from observations. The approach has been used in the co- simulation of building physics and human behaviour in order to assess the CO2 concentration in an office.