Stochastic Occupant Models
Stochastic Occupant Models is a computational modeling framework within occupant behavior simulation that incorporates probabilistic transitions and random variables to capture the inherent unpredictability and variability of human actions in built environments.
45
Publications
3.7K
Citations
110
Authors
38
Institutions
Publications per year
2017–2026
22
Parents
45
A generalised stochastic model for the simulation of occupant presence
Jessen Page, Darren Robinson, Nicolas Morel et al. · Energy and Buildings · 2007 · 630 citations
1–5 of 45
110
5
h-index
5
h-index
4
h-index
École Polytechnique Fédérale de Lausanne, Switzerland
3 publications · 847 citations
3
h-index
3
h-index
1–5 of 110
38

Carleton University
Ottawa, Canada
5 h-index
12 publications
2.2K citations
Tsinghua University
Beijing, China
4 h-index
12 publications
2.3K citations

Concordia University
Montreal, Canada
3 h-index
5 publications
102 citations
Technical University of Denmark
Kongens Lyngby, Denmark
3 h-index
8 publications
520 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
3 h-index
9 publications
3K citations

TU Wien
Vienna, Austria
3 h-index
7 publications
2K citations
Virginia Tech
Blacksburg, United States
3 h-index
7 publications
153 citations

Université Laval
Québec, Canada
2 h-index
5 publications
177 citations
1–8 of 38
13 publications · 2.1K citations
13
h-index
8 publications · 465 citations
8
h-index
4 publications · 387 citations
4
h-index
3 publications · 63 citations
3
h-index
2 publications · 106 citations
2
h-index
1–5