Scenario Reduction

Scenario Reduction is a methodological technique in stochastic optimization and scenario forecasting that systematically decreases the cardinality of a discrete probability space by merging or eliminating representative scenarios while preserving the essential statistical and structural properties of the original stochastic process.

208

Publications

14.8K

Citations

597

Authors

233

Institutions

Publications per year

2017–2026

117

Authors

597

  1. WR
    Werner Römisch

    Humboldt-Universität zu Berlin, Germany

    7 publications · 1.8K citations

    7

    h-index

  2. BM
    Behnam Mohammadi‐Ivatloo

    University of Tabriz, Iran

    6 publications · 395 citations

    6

    h-index

  3. MS
    Mohammad Shahidehpour

    Illinois Institute of Technology, United States

    5 publications · 1.4K citations

    5

    h-index

  4. ZY
    Zhao Yang Dong

    The University of Sydney, Australia

    5 publications · 613 citations

    5

    h-index

  5. ZW
    Zhaoyu Wang

    Iowa State University, United States

    4 publications · 1.4K citations

    4

    h-index

1–5 of 597

Venues

  1. IEEE Transactions on Power Systems

    30 publications · 4.6K citations

    26

    h-index

  2. Energies

    9 publications · 196 citations

    9

    h-index

  3. IET Generation Transmission & Distribution

    8 publications · 326 citations

    8

    h-index

  4. IEEE Transactions on Smart Grid

    8 publications · 1.3K citations

    8

    h-index

  5. Computers & Chemical Engineering

    7 publications · 332 citations

    7

    h-index

1–5