Stochastic Reservoir Optimization

Stochastic Reservoir Optimization is a mathematical optimization framework for managing reservoir systems under hydrological uncertainty, distinguished by its explicit incorporation of probabilistic models to represent inflow variability and its reliance on stochastic programming or dynamic programming techniques to derive adaptive operating policies.

137

Publications

6.1K

Citations

348

Authors

167

Institutions

Publications per year

2017–2026

30

Authors

348

  1. RS
    Rodolfo Soncini‐Sessa

    Politecnico di Milano, Italy

    4 publications · 151 citations

    4

    h-index

  2. MH
    Mark H. Houck

    Purdue University West Lafayette, United States

    4 publications · 216 citations

    4

    h-index

  3. AT
    André Turgeon

    Hydro-Québec, Canada

    3 publications · 102 citations

    3

    h-index

  4. AA
    Abeeb A. Awotunde

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    3 publications · 84 citations

    3

    h-index

  5. JR
    Jery R. Stedinger

    Cornell University, United States

    3 publications · 420 citations

    3

    h-index

1–5 of 348

Venues

  1. Water Resources Research

    33 publications · 2.3K citations

    24

    h-index

  2. 17

    h-index

  3. Water Resources Management

    13 publications · 296 citations

    11

    h-index

  4. 3

    h-index

  5. Journal of Cleaner Production

    3 publications · 163 citations

    3

    h-index

1–5