Adaptive Building Systems

Adaptive Building Systems is a computational framework in architectural design automation that dynamically modulates building performance through real-time responsiveness to environmental, occupant, and operational data, distinguishing itself from static or rule-based systems by enabling intelligent, context-aware adaptations via integrated sensing, analysis, and actuation mechanisms.

193

Publications

8K

Citations

545

Authors

207

Institutions

Publications per year

2017–2026

99

Authors

545

  1. WH
    Walter Haase

    University of Stuttgart, Germany

    4 publications · 120 citations

    4

    h-index

  2. HL
    Heng Li

    Hong Kong Polytechnic University, Hong Kong SAR China

    4 publications · 320 citations

    4

    h-index

  3. FF
    Francesco Fiorito

    Polytechnic University of Bari, Italy

    4 publications · 162 citations

    4

    h-index

  4. ZL
    Zhongbing Liu

    Hunan University, China

    3 publications · 115 citations

    3

    h-index

  5. AK
    Aysu Kuru

    UNSW Sydney, Australia

    3 publications · 145 citations

    3

    h-index

1–5 of 545

Venues

  1. Energy and Buildings

    14 publications · 674 citations

    14

    h-index

  2. Automation in Construction

    9 publications · 554 citations

    9

    h-index

  3. Building and Environment

    6 publications · 306 citations

    6

    h-index

  4. Sustainability

    5 publications · 190 citations

    5

    h-index

  5. Renewable Energy

    5 publications · 483 citations

    5

    h-index

1–5