Ramp Event Forecasting

Ramp Event Forecasting is a forecasting task within renewable generation that involves predicting sudden and significant changes in power output over a short time interval, distinguishing it from general production forecasting by focusing specifically on the onset, magnitude, and duration of ramp events.

57

Publications

2.7K

Citations

176

Authors

84

Institutions

Publications per year

2017–2026

23

Authors

176

  1. BH
    Bri‐Mathias Hodge

    National Laboratory of the Rockies, United States

    4 publications · 315 citations

    4

    h-index

  2. JZ
    Jie Zhang

    The University of Texas at Dallas, United States

    3 publications · 294 citations

    3

    h-index

  3. AF
    Anthony Florita

    National Laboratory of the Rockies, United States

    3 publications · 225 citations

    3

    h-index

  4. YS
    Yuanzhang Sun

    Wuhan University, China

    3 publications · 290 citations

    3

    h-index

  5. MC
    Mingjian Cui

    Southern Methodist University, United States

    3 publications · 290 citations

    3

    h-index

1–5 of 176

Venues

  1. Wind Energy

    5 publications · 285 citations

    5

    h-index

  2. Renewable Energy

    5 publications · 309 citations

    5

    h-index

  3. IET Renewable Power Generation

    3 publications · 83 citations

    3

    h-index

  4. IEEE Transactions on Power Systems

    2 publications · 192 citations

    2

    h-index

  5. IEEE Access

    2 publications · 41 citations

    2

    h-index

1–5