Dynamic Bayesian Networks to simulate occupant behaviours in office buildings related to indoor air quality
Résumé
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 on knowledge, but also with conditional probabilities coming either from knowledge or deduced from observations. This approach has been applied to the co-simulation of the CO2 concentration in an office coupled with human behaviour.
| Origine | Fichiers produits par l'(les) auteur(s) |
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