Model Predictive Simulation

Model Predictive Simulation is a dynamic simulation method that employs predictive models to iteratively compute future system behavior over a receding time horizon, enabling proactive decision-making through repeated optimization and feedback integration.

74

Publications

3.8K

Citations

263

Authors

141

Institutions

Publications per year

2017–2026

23

Authors

263

  1. GJ
    George J. Moridis

    Lawrence Berkeley National Laboratory, United States

    2 publications · 92 citations

    2

    h-index

  2. JM
    John McPhee

    University of Waterloo, Canada

    2 publications · 66 citations

    2

    h-index

  3. CE
    Christine Ehlig‐Economides

    Texas A&M University, United States

    2 publications · 92 citations

    2

    h-index

  4. KJ
    Kyung Jae Lee

    Seoul National University, South Korea

    2 publications · 92 citations

    2

    h-index

  5. AT
    Anay Talawdekar

    Cellworks Research (India), India

    1 publications · 26 citations

    1

    h-index

1–5 of 263

Venues

  1. Energy and Buildings

    4 publications · 523 citations

    4

    h-index

  2. Computers & Chemical Engineering

    3 publications · 338 citations

    3

    h-index

  3. Energy Procedia

    2 publications · 57 citations

    2

    h-index

  4. Processes

    2 publications · 47 citations

    2

    h-index

  5. Applied Energy

    1 publications · 35 citations

    1

    h-index

1–5