Scenario-based Robust Optimization

Scenario-Based Robust Optimization is a robust optimization approach that belongs to the class of methods addressing uncertainty through discrete scenario representations, distinguished by its reliance on a finite set of explicitly defined scenarios to model uncertain parameters and ensure solution feasibility across all realized scenarios.

148

Publications

11.6K

Citations

427

Authors

226

Institutions

Publications per year

2017–2026

84

Authors

427

  1. RT
    Reza Tavakkoli‐Moghaddam

    University of Tehran, Iran

    2 publications · 160 citations

    3

    h-index

  2. JK
    Jan Kwakkel

    Delft University of Technology, Netherlands

    3 publications · 228 citations

    3

    h-index

  3. BW
    Bing Wang

    Shanghai University, China

    3 publications · 82 citations

    3

    h-index

  4. HR
    Holger R. Maier

    The University of Adelaide, Australia

    2 publications · 90 citations

    2

    h-index

  5. AA
    A.S. Azfanizam

    Universiti Putra Malaysia, Malaysia

    2 publications · 88 citations

    2

    h-index

1–5 of 427

Venues

  1. 7

    h-index

  2. IEEE Transactions on Power Systems

    6 publications · 604 citations

    6

    h-index

  3. Energy

    5 publications · 233 citations

    5

    h-index

  4. Environmental Modelling & Software

    4 publications · 211 citations

    4

    h-index

  5. European Journal of Operational Research

    3 publications · 177 citations

    3

    h-index

1–5