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

Authors

110

  1. HB
    H. Burak Gunay

    Carleton University, Canada

    5 publications · 1.1K citations

    5

    h-index

  2. WO
    William O’Brien

    Carleton University, Canada

    5 publications · 1.1K citations

    5

    h-index

  3. DY
    Da Yan

    Tsinghua University, China

    4 publications · 1K citations

    4

    h-index

  4. JS
    Jean‐Louis Scartezzini

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 847 citations

    3

    h-index

  5. CD
    Costin D. Untaroiu

    University of Virginia, United States

    3 publications · 63 citations

    3

    h-index

1–5 of 110

Venues

  1. Energy and Buildings

    13 publications · 2.1K citations

    13

    h-index

  2. Journal of Building Performance Simulation

    8 publications · 465 citations

    8

    h-index

  3. Building and Environment

    4 publications · 387 citations

    4

    h-index

  4. Journal of Biomechanics

    3 publications · 63 citations

    3

    h-index

  5. Applied Energy

    2 publications · 106 citations

    2

    h-index

1–5