Sensor-based Ventilation

Sensor-Based Ventilation is a hybrid ventilation control strategy that uses real-time data from environmental sensors to dynamically regulate airflow, distinguishing itself from rule-based or predictive methods by relying on direct sensory feedback to optimize indoor air quality and energy efficiency.

34

Publications

1.2K

Citations

146

Authors

60

Institutions

Publications per year

2017–2026

22

Authors

146

  1. JK
    Jussi Kuutti

    Aalto University, Finland

    2 publications · 49 citations

    2

    h-index

  2. RS
    Raimo Sepponen

    Helsinki University Hospital, Finland

    2 publications · 49 citations

    2

    h-index

  3. AA
    A. A. Zaidan

    Sultan Idris Education University, Malaysia

    1 publications · 44 citations

    1

    h-index

  4. AM
    Areerat Maneerat

    King Mongkut's Institute of Technology Ladkrabang, Thailand

    1 publications · 12 citations

    1

    h-index

  5. ŅI
    Ņikita Ivanovs

    Riga East University Hospital, Latvia

    1 publications · 11 citations

    1

    h-index

1–5 of 146

Venues

  1. Energy and Buildings

    4 publications · 150 citations

    4

    h-index

  2. Sensors

    2 publications · 80 citations

    2

    h-index

  3. IEEE Sensors Journal

    1 publications · 20 citations

    1

    h-index

  4. Frontiers in Environmental Science

    1 publications · 19 citations

    1

    h-index

  5. Electronics

    1 publications · 12 citations

    1

    h-index

1–5