Model Predictive Building Control

Model Predictive Building Control is a model-based control strategy that distinguishes itself by iteratively optimizing building system operations over a finite time horizon using dynamic predictions of energy demand, environmental conditions, and occupancy patterns to minimize energy consumption while maintaining occupant comfort and operational constraints.

327

Publications

26.8K

Citations

880

Authors

314

Institutions

Publications per year

2017–2026

198

Variants

Model Predictive Control For Buildings

Authors

880

  1. MM
    Manfred Morari

    ETH Zurich, Switzerland

    11 publications · 2.4K citations

    11

    h-index

  2. LH
    Lieve Helsen

    KU Leuven, Belgium

    9 publications · 1.9K citations

    9

    h-index

  3. CN
    Colin N. Jones

    École Polytechnique Fédérale de Lausanne, Switzerland

    8 publications · 1.9K citations

    8

    h-index

  4. GP
    Gregor P. Henze

    University of Colorado Boulder, United States

    8 publications · 756 citations

    8

    h-index

  5. AC
    Adrian Chong

    National University of Singapore, Singapore

    7 publications · 973 citations

    7

    h-index

1–5 of 880

Venues

  1. Energy and Buildings

    60 publications · 6.7K citations

    41

    h-index

  2. Applied Energy

    41 publications · 5.1K citations

    34

    h-index

  3. Building and Environment

    15 publications · 1.7K citations

    15

    h-index

  4. Energy

    12 publications · 742 citations

    12

    h-index

  5. Journal of Building Performance Simulation

    10 publications · 592 citations

    10

    h-index

1–5