Scenario Generation

Scenario Generation is a methodological construct in stochastic optimization and scenario analysis that systematically produces a representative set of probabilistic future states or trajectories to approximate uncertainty in decision-making under stochastic programming frameworks.

565

Publications

30.9K

Citations

1.8K

Authors

651

Institutions

Publications per year

2017–2026

272

Authors

1.8K

  1. GC
    Georg Ch. Pflug

    University of Vienna, Austria

    7 publications · 756 citations

    7

    h-index

  2. MK
    Michal Kaut

    SINTEF, Norway

    6 publications · 741 citations

    6

    h-index

  3. FW
    Fei–Yue Wang

    Chinese Academy of Sciences, China

    5 publications · 224 citations

    5

    h-index

  4. SK
    Siddartha Khastgir

    University of Warwick, United Kingdom

    5 publications · 161 citations

    5

    h-index

  5. SW
    Stein W. Wallace

    Norwegian School of Economics, Norway

    5 publications · 1.3K citations

    5

    h-index

1–5 of 1.8K

Venues

  1. Applied Energy

    14 publications · 913 citations

    14

    h-index

  2. IEEE Transactions on Power Systems

    11 publications · 1.9K citations

    11

    h-index

  3. European Journal of Operational Research

    10 publications · 678 citations

    10

    h-index

  4. IEEE Transactions on Intelligent Vehicles

    ITIVBL · 8 publications · 292 citations

    8

    h-index

  5. Futures

    8 publications · 1.5K citations

    8

    h-index

1–5