Probabilistic Wind Forecasting
Probabilistic Wind Forecasting is a wind forecasting methodology that characterizes future wind conditions in terms of probability distributions to quantify predictive uncertainty, distinguishing itself from deterministic approaches by providing a range of possible outcomes with associated likelihoods.
272
Publications
20.3K
Citations
767
Authors
319
Institutions
Publications per year
2017–2026
159
Parents
272
Deep learning based ensemble approach for probabilistic wind power forecasting
Huaizhi Wang, Gangqiang Li, Guibin Wang et al. · Applied Energy · 2016 · 741 citations
Deep belief network based deterministic and probabilistic wind speed forecasting approach
Hai‐Kun Wang, G.B. Wang, Guangbo Li et al. · Applied Energy · 2016 · 491 citations
1–5 of 272
767
11
h-index
11
h-index
Centre Procédés, Energies Renouvelables et Systèmes Energétiques, France
8 publications · 1.2K citations
8
h-index
6
h-index
6
h-index
1–5 of 767
319
Technical University of Denmark
Kongens Lyngby, Denmark
15 h-index
29 publications
4.4K citations

North China Electric Power University
Beijing, China
13 h-index
42 publications
3.3K citations

Xi'an Jiaotong University
Xi'an, China
13 h-index
34 publications
3.9K citations
Argonne National Laboratory
Lemont, United States
9 h-index
25 publications
1.7K citations

Dongbei University of Finance and Economics
Dalian, China
8 h-index
14 publications
1.1K citations

Universidade do Porto
Porto, Portugal
8 h-index
30 publications
2.5K citations

Hefei University of Technology
Hefei, China
7 h-index
14 publications
928 citations

City University of Hong Kong
Hong Kong, Hong Kong
6 h-index
12 publications
394 citations
1–8 of 319
27 publications · 3.1K citations
24
h-index
29 publications · 2K citations
23
h-index
22 publications · 1.5K citations
19
h-index
17 publications · 1.4K citations
16
h-index
TSTE · 15 publications · 1.2K citations
15
h-index
1–5