Agent-based Occupant Modeling

Agent-Based Occupant Modeling is a computational modeling approach within occupant behavior simulation that represents individuals as autonomous agents capable of decision-making, interaction, and adaptation, distinguished by its emphasis on bottom-up, rule-based behaviors and localized agent-environment dynamics to capture complex, emergent occupant patterns in buildings.

74

Publications

4.9K

Citations

207

Authors

100

Institutions

Publications per year

2017–2026

43

Authors

207

  1. TH
    Tianzhen Hong

    Lawrence Berkeley National Laboratory, United States

    6 publications · 548 citations

    6

    h-index

  2. EA
    Elie Azar

    Khalifa University of Science and Technology, United Arab Emirates

    6 publications · 488 citations

    6

    h-index

  3. CC
    Carol C. Menassa

    University of Michigan, United States

    5 publications · 406 citations

    5

    h-index

  4. DY
    Da Yan

    Tsinghua University, China

    4 publications · 640 citations

    4

    h-index

  5. CJ
    Clinton J. Andrews

    Rutgers, The State University of New Jersey, United States

    3 publications · 192 citations

    3

    h-index

1–5 of 207

Venues

  1. Building and Environment

    9 publications · 564 citations

    9

    h-index

  2. Energy and Buildings

    7 publications · 795 citations

    7

    h-index

  3. Building Simulation

    6 publications · 638 citations

    6

    h-index

  4. Automation in Construction

    5 publications · 578 citations

    4

    h-index

  5. Applied Energy

    3 publications · 183 citations

    3

    h-index

1–5