Generating synthetic occupants for use in building performance simulation

نویسندگان

چکیده

Occupant behaviour simulation frameworks can employ synthetic populations to characterize occupancy and behavioural patterns in buildings based on observed demographic data at a certain geographical location. For buildings, very few occupant have been generated. This paper uses Bayesian Networks (BN) structural learning approach synthesize of occupants multi-family housing case study. Two additional cases office senior residents are considered as cross-case comparison. We draw upon the extended version drivers-needs-actions-systems (DNAS) framework guide selection variables imputation. Our results show that BN is powerful structure sets. The sets successfully match joint distributions underlying combined Experiments particularly better performance than cases.

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ژورنال

عنوان ژورنال: Journal of Building Performance Simulation

سال: 2021

ISSN: ['1940-1507', '1940-1493']

DOI: https://doi.org/10.1080/19401493.2021.2000029