Model Predictive Scheduling

Model Predictive Scheduling is a scheduling framework that belongs to the class of model-based optimization methods, distinguished by its use of predictive models to iteratively compute optimal crop management decisions over a rolling time horizon while incorporating real-time environmental and operational constraints.

62

Publications

2.4K

Citations

212

Authors

85

Institutions

Publications per year

2017–2026

33

Authors

212

  1. JÅ
    Johan Åkesson

    Lund University, Sweden

    2 publications · 84 citations

    2

    h-index

  2. AC
    Anton Cervin

    Lund University, Sweden

    2 publications · 84 citations

    2

    h-index

  3. BJ
    Bayu Jayawardhana

    University of Groningen, Netherlands

    2 publications · 133 citations

    2

    h-index

  4. XX
    Xiaohua Xia

    University of Pretoria, South Africa

    2 publications · 62 citations

    2

    h-index

  5. JL
    Jinfeng Liu

    University of Alberta, Canada

    2 publications · 44 citations

    2

    h-index

1–5 of 212

Venues

  1. Computers & Chemical Engineering

    6 publications · 401 citations

    6

    h-index

  2. IFAC-PapersOnLine

    5 publications · 62 citations

    5

    h-index

  3. Industrial & Engineering Chemistry Research

    3 publications · 88 citations

    3

    h-index

  4. IFAC Proceedings Volumes

    3 publications · 132 citations

    3

    h-index

  5. Energy

    2 publications · 92 citations

    2

    h-index

1–5