Real-time Operation

Real-Time Operation is a river flow regulation methodology that dynamically adjusts water release and storage decisions in immediate response to continuously updated hydrological and meteorological data, distinguishing itself from predictive or scheduled approaches by its reliance on instantaneous monitoring and adaptive control.

1.3K

Publications

58.7K

Citations

4.2K

Authors

1.2K

Institutions

Publications per year

2017–2026

455

Authors

4.2K

  1. MP
    Masood Parvania

    University of Utah, United States

    9 publications · 331 citations

    9

    h-index

  2. OA
    Osama A. Mohammed

    Florida International University, United States

    9 publications · 474 citations

    9

    h-index

  3. LW
    Larry W. Mays

    Arizona State University, United States

    6 publications · 200 citations

    6

    h-index

  4. PA
    Peter A. Vanrolleghem

    Ghent University, Belgium

    6 publications · 582 citations

    6

    h-index

  5. RW
    R.P. Wierckx

    RTDS Technologies (Canada), Canada

    5 publications · 447 citations

    5

    h-index

1–5 of 4.2K

Venues

  1. IEEE Transactions on Power Systems

    49 publications · 3.8K citations

    34

    h-index

  2. IEEE Transactions on Smart Grid

    26 publications · 3.4K citations

    24

    h-index

  3. IEEE Access

    22 publications · 749 citations

    18

    h-index

  4. Sensors

    14 publications · 414 citations

    13

    h-index

  5. Energies

    15 publications · 309 citations

    12

    h-index

1–5