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
Parents
84
Support-Vector-Machine-Enhanced Markov Model for Short-Term Wind Power Forecast
Lei Yang, Miao He, Junshan Zhang et al. · IEEE Transactions on Sustainable Energy · 2015 · 188 citations
Computing, Data Science, Forecasting +16
Detection and Statistics of Wind Power Ramps
Raffi Sevlian, Ram Rajagopal · IEEE Transactions on Power Systems · 2013 · 141 citations
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106

National Laboratory of the Rockies
Golden, United States
9 h-index
25 publications
1.9K citations
Wuhan University
Wuhan, China
8 h-index
28 publications
1.5K citations
University of Iowa
Iowa City, United States
6 h-index
8 publications
403 citations

North China Electric Power University
Beijing, China
4 h-index
10 publications
744 citations
Technical University of Denmark
Kongens Lyngby, Denmark
4 h-index
9 publications
638 citations
The University of Texas at Dallas
Richardson, United States
4 h-index
10 publications
642 citations

University of Alberta
Edmonton, Canada
4 h-index
5 publications
125 citations

Universidad Politécnica de Madrid
Madrid, Spain
3 h-index
5 publications
112 citations
1–8 of 106
8 publications · 338 citations
9
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5 publications · 173 citations
5
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4 publications · 99 citations
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TSTE · 4 publications · 504 citations
4
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4 publications · 224 citations
4
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1–5