Wind Forecast Uncertainty Quantification
Wind Forecast Uncertainty Quantification is a methodological framework within wind forecasting that characterizes the inherent variability and predictive inaccuracies in wind power or speed projections by systematically estimating the probabilistic bounds and sources of forecast errors.
438
Publications
32.6K
Citations
1.3K
Authors
478
Institutions
Publications per year
2017–2026
190
Parents
438
Current methods and advances in forecasting of wind power generation
Aoife Foley, Paul Leahy, Antonino Marvuglia et al. · Renewable Energy · 2011 · 1.3K citations · Full text
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 438
1.3K
16
h-index
Centre Procédés, Energies Renouvelables et Systèmes Energétiques, France
17 publications · 1.6K citations
15
h-index
11
h-index
10
h-index
8
h-index
1–5 of 1.3K
478
Technical University of Denmark
Kongens Lyngby, Denmark
21 h-index
71 publications
7.4K citations

North China Electric Power University
Beijing, China
19 h-index
79 publications
5.1K citations
Tsinghua University
Beijing, China
16 h-index
56 publications
4.9K citations

National Laboratory of the Rockies
Golden, United States
16 h-index
68 publications
3.2K citations

Zhejiang University
Hangzhou, China
12 h-index
42 publications
2.9K citations
Argonne National Laboratory
Lemont, United States
12 h-index
24 publications
2.8K citations

École Nationale Supérieure des Mines de Paris
Paris, France
10 h-index
20 publications
2.2K citations

Delft University of Technology
Delft, The Netherlands
9 h-index
16 publications
1.3K citations
1–8 of 478
37 publications · 4.1K citations
31
h-index
TSTE · 29 publications · 3.3K citations
26
h-index
29 publications · 4.5K citations
26
h-index
29 publications · 2.7K citations
23
h-index
14 publications · 880 citations
14
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1–5