Stochastic Real-time Optimization

Stochastic Real-Time Optimization is a real-time optimization framework that incorporates probabilistic models of uncertainty to dynamically adjust decisions in response to random disturbances and noisy measurements within time-critical operational environments.

22

Publications

959

Citations

82

Authors

35

Institutions

Publications per year

2017–2026

12

Authors

82

  1. KW
    Kun Wang

    Nanjing University of Posts and Telecommunications, China

    1 publications · 64 citations

    1

    h-index

  2. LC
    Li Chen

    National University of Singapore, Singapore

    1 publications · 37 citations

    1

    h-index

  3. ZP
    Zhenning Pan

    South China University of Technology, China

    1 publications · 37 citations

    1

    h-index

  4. YG
    Yanmin Gong

    The University of Texas at San Antonio, United States

    1 publications · 13 citations

    1

    h-index

  5. JF
    Jiakun Fang

    Huazhong University of Science and Technology, China

    1 publications · 33 citations

    1

    h-index

1–5 of 82

Venues

  1. Electric Power Systems Research

    3 publications · 222 citations

    3

    h-index

  2. Applied Energy

    2 publications · 50 citations

    2

    h-index

  3. 2

    h-index

  4. ISA Transactions

    1 publications · 12 citations

    1

    h-index

  5. Operations Research

    1 publications · 40 citations

    1

    h-index

1–5