Wind Ramp Forecasting

Wind Ramp Forecasting is a predictive methodology within renewable energy forecasting that specifically identifies and quantifies the timing, magnitude, and duration of rapid and significant changes in wind power generation over short to medium time horizons.

84

Publications

4.3K

Citations

264

Authors

106

Institutions

Publications per year

2017–2026

41

Authors

264

  1. BH
    Bri‐Mathias Hodge

    National Laboratory of the Rockies, United States

    8 publications · 664 citations

    8

    h-index

  2. MC
    Mingjian Cui

    Southern Methodist University, United States

    6 publications · 498 citations

    6

    h-index

  3. JZ
    Jie Zhang

    The University of Texas at Dallas, United States

    6 publications · 502 citations

    6

    h-index

  4. LQ
    Liang Qin

    Wuhan University, China

    5 publications · 175 citations

    5

    h-index

  5. TO
    Tinghui Ouyang

    Wuhan University, China

    5 publications · 148 citations

    5

    h-index

1–5 of 264

Venues

  1. Wind Energy

    8 publications · 338 citations

    9

    h-index

  2. Renewable Energy

    5 publications · 173 citations

    5

    h-index

  3. IET Renewable Power Generation

    4 publications · 99 citations

    4

    h-index

  4. IEEE Transactions on Sustainable Energy

    TSTE · 4 publications · 504 citations

    4

    h-index

  5. Energy

    4 publications · 224 citations

    4

    h-index

1–5