Wind Forecasting Feature Selection
Wind Forecasting Feature Selection is the systematic process of identifying and retaining the most relevant input variables or predictors from meteorological, geographical, and historical wind data to improve the accuracy and efficiency of wind power or speed prediction models.
95
Publications
6.8K
Citations
338
Authors
152
Institutions
Publications per year
2017–2026
75
Parents
95
Chu Zhang, Jianzhong Zhou, Chaoshun Li et al. · Energy Conversion and Management · 2017 · 272 citations
1–5 of 95
338
Nanjing University of Information Science and Technology, China
5 publications · 221 citations
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4
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3
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3
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3
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1–5 of 338
152

North China Electric Power University
Beijing, China
10 h-index
37 publications
2.6K citations

Nanjing University of Information Science and Technology
Nanjing, China
5 h-index
13 publications
504 citations
Islamic Azad University Ardabil
Ardabil, Iran
4 h-index
4 publications
615 citations

Central South University
Changsha, China
4 h-index
19 publications
784 citations
Tsinghua University
Beijing, China
4 h-index
9 publications
578 citations
Lanzhou University
Lanzhou, China
4 h-index
9 publications
537 citations
Northeast Electric Power University
Jilin City, China
3 h-index
8 publications
301 citations

Nazarbayev University
Astana, Kazakhstan
3 h-index
6 publications
238 citations
1–8 of 152
11 publications · 753 citations
10
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9 publications · 1K citations
9
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11 publications · 720 citations
9
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6 publications · 721 citations
6
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5 publications · 149 citations
5
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1–5