Ensemble Wind Forecasting
Ensemble Wind Forecasting is a wind forecasting methodology that generates multiple simulations or predictions using varying initial conditions, model parameters, or structural assumptions to quantify uncertainty and improve predictive reliability in estimating future wind conditions.
154
Publications
12.7K
Citations
540
Authors
225
Institutions
Publications per year
2017–2026
112
Parents
154
Deep learning based ensemble approach for probabilistic wind power forecasting
Huaizhi Wang, Gangqiang Li, Guibin Wang et al. · Applied Energy · 2016 · 741 citations
1–5 of 154
540
12
h-index
9
h-index
7
h-index
7
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5
h-index
1–5 of 540
225

Central South University
Changsha, China
13 h-index
38 publications
3.4K citations

Dongbei University of Finance and Economics
Dalian, China
12 h-index
26 publications
2.6K citations

North China Electric Power University
Beijing, China
8 h-index
31 publications
2.4K citations

NSF National Center for Atmospheric Research
Boulder, United States
6 h-index
22 publications
2K citations

Shandong Normal University
Jinan, China
6 h-index
9 publications
376 citations
Lanzhou University
Lanzhou, China
6 h-index
15 publications
1.3K citations
Shandong University of Finance and Economics
Jinan, China
6 h-index
9 publications
342 citations
Tsinghua University
Beijing, China
5 h-index
11 publications
675 citations
1–8 of 225
23 publications · 2.4K citations
21
h-index
14 publications · 2.2K citations
14
h-index
10 publications · 1.7K citations
10
h-index
10 publications · 478 citations
10
h-index
6 publications · 487 citations
6
h-index
1–5