Dynamic Rule Curve Optimization

Dynamic Rule Curve Optimization is a computational framework that belongs to the class of reservoir operation models, distinguished by its integration of real-time hydrological data and adaptive algorithms to iteratively refine rule curves for optimal water release decisions under changing environmental and operational conditions.

3

Publications

100

Citations

6

Authors

2

Institutions

Publications per year

2017–2026

2

Authors

6

  1. AA
    Amin Abdollahi

    Sahand University of Technology, Iran

    1 publications · 27 citations

    1

    h-index

  2. IA
    Iman Ahmadianfar

    Thi Qar University, Iraq

    1 publications · 27 citations

    1

    h-index

  3. AK
    Anongrit Kangrang

    Mahasarakham University, Thailand

    1 publications · 46 citations

    1

    h-index

  4. CC
    Chavalit Chaleeraktrakoon

    Thammasat University, Thailand

    1 publications · 27 citations

    1

    h-index

  5. HP
    Haris Prasanchum

    Rajamangala University of Technology Isan, Thailand

    1 publications · 46 citations

    1

    h-index

1–5 of 6

Institutions

2

  1. Mahasarakham University

    Maha Sarakham, Thailand

    1 h-index

    2 publications

    92 citations

  2. Thammasat University

    Bangkok, Thailand

    1 h-index

    2 publications

    54 citations

1–2 of 2

Venues

  1. KSCE Journal of Civil Engineering

    1 publications · 46 citations

    1

    h-index

  2. Journal of Hydro-environment Research

    1 publications · 27 citations

    1

    h-index

  3. Journal of Hydrology

    1 publications · 27 citations

    1

    h-index

1–3