Stochastic Operation Optimization

Stochastic Operation Optimization is a mathematical framework for decision-making under uncertainty that distinguishes itself by explicitly incorporating probabilistic models of inflow, demand, and other random variables to optimize hydropower system operations over time.

167

Publications

8.1K

Citations

550

Authors

232

Institutions

Publications per year

2017–2026

88

Authors

550

  1. WL
    Wei‐Jen Lee

    The University of Texas at Arlington, United States

    4 publications · 133 citations

    4

    h-index

  2. MS
    Mostafa Sedighizadeh

    Shahid Beheshti University, Iran

    4 publications · 156 citations

    4

    h-index

  3. GG
    Giorgio Graditi

    National Agency for New Technologies, Energy and Sustainable Economic Development, Italy

    4 publications · 104 citations

    4

    h-index

  4. ZD
    Zhaohao Ding

    North China Electric Power University, China

    4 publications · 133 citations

    4

    h-index

  5. MD
    Marialaura Di Somma

    National Agency for New Technologies, Energy and Sustainable Economic Development, Italy

    4 publications · 104 citations

    4

    h-index

1–5 of 550

Venues

  1. Applied Energy

    16 publications · 1.1K citations

    15

    h-index

  2. Energy

    11 publications · 505 citations

    11

    h-index

  3. 10

    h-index

  4. Electric Power Systems Research

    7 publications · 381 citations

    7

    h-index

  5. 6

    h-index

1–5