Hydropower Forecasting

Hydropower Forecasting is a predictive modeling approach that estimates future hydropower generation by analyzing hydrological, meteorological, and operational variables specific to water-driven energy systems.

261

Publications

12.4K

Citations

857

Authors

395

Institutions

Publications per year

2017–2026

152

Authors

857

  1. CC
    Chuntian Cheng

    Dalian University of Technology, China

    6 publications · 291 citations

    7

    h-index

  2. FG
    Fatemeh Gholinia

    University of Mohaghegh Ardabili, Iran

    6 publications · 283 citations

    6

    h-index

  3. SF
    Stéfano Frizzo Stefenon

    Fondazione Bruno Kessler, Italy

    4 publications · 249 citations

    5

    h-index

  4. JS
    Jianjian Shen

    Dalian University of Technology, China

    5 publications · 140 citations

    5

    h-index

  5. ZF
    Zhong-kai Feng

    Changjiang Water Resources Commission, China

    4 publications · 289 citations

    5

    h-index

1–5 of 857

Venues

  1. Energy

    16 publications · 1K citations

    15

    h-index

  2. 13

    h-index

  3. Renewable Energy

    10 publications · 774 citations

    11

    h-index

  4. Energies

    9 publications · 435 citations

    9

    h-index

  5. Applied Energy

    8 publications · 560 citations

    9

    h-index

1–5