Occupant Preference Modeling

Occupant Preference Modeling is a computational framework that characterizes individual occupants' thermal, visual, and acoustic comfort preferences by integrating behavioral, physiological, and environmental data to enable personalized control in personal comfort systems.

13

Publications

1K

Citations

74

Authors

38

Institutions

Publications per year

2017–2026

8

Authors

74

  1. JK
    Joyce Kim

    University of California, Berkeley, United States

    2 publications · 509 citations

    2

    h-index

  2. MK
    Mike Kolich

    University of Windsor, Canada

    1 publications · 115 citations

    1

    h-index

  3. RG
    Renata Gonçalves Faísca

    Universidade Federal Fluminense, Brazil

    1 publications · 46 citations

    1

    h-index

  4. LD
    Lilianne de Queiroz Leal

    Universidade Paulista, Brazil

    1 publications · 46 citations

    1

    h-index

  5. SS
    Stefano Schiavon

    University of California, Berkeley, United States

    1 publications · 51 citations

    1

    h-index

1–5 of 74

Venues

  1. Building and Environment

    6 publications · 747 citations

    6

    h-index

  2. Building Research & Information

    1 publications · 46 citations

    1

    h-index

  3. Energy and Buildings

    1 publications · 18 citations

    1

    h-index

  4. Applied Ergonomics

    1 publications · 115 citations

    1

    h-index

  5. ACM Transactions on Intelligent Systems and Technology

    TIST · 1 publications · 42 citations

    1

    h-index

1–5