Towards a general framework for an observation and knowledge based model of occupant behaviour in office buildings

Khadija Tijani (1, 2, 3) , Dung Ngo (4) , Stéphane Ploix (2) , Benjamin Haas (1) , Julie Dugdale (3)

1 CSTB - Centre Scientifique et Technique du Bâtiment
2 G-SCOP_GCSP - Gestion et Conduite des Systèmes de Production
3 MAGMA - Modélisation d’agents autonomes en univers multi-agents
4 Post and Telecommunication Institut of Technology, Hanoi, Vient Nam

This paper proposes a new general approach based on Bayesian networks to model the human behaviour. This approach represents human behaviour withprobabilistic 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 CO 2 concentration in an office.

Mots clés: occupant behaviour; indoor air quality; bayesian network

Domaines: Intelligence artificielle [cs.AI]; Modélisation et simulation; Probabilités [math.PR]; Sociologie; Energie électrique

Khadija Tijani, Dung Ngo, Stéphane Ploix, Benjamin Haas, Julie Dugdale. Towards a general framework for an observation and knowledge based model of occupant behaviour in office buildings. IBPC 2015 Turin, Jun 2015, Turin, Italy. ⟨hal-01212822⟩