Prediction Interval Coverage Probability
Prediction Interval Coverage Probability is a statistical metric that quantifies the proportion of observed outcomes that fall within a specified prediction interval across multiple forecasts, serving to evaluate the empirical reliability of interval forecasting methods.
82
Publications
5.7K
Citations
188
Authors
118
Institutions
Publications per year
2017–2026
36
82
Optimal Prediction Intervals of Wind Power Generation
Can Wan, Zhao Xu, Pierre Pinson et al. · IEEE Transactions on Power Systems · 2014 · 335 citations
Short-Term Wind Speed Interval Prediction Based on Ensemble GRU Model
Chaoshun Li, Geng Tang, Xiaoming Xue et al. · IEEE Transactions on Sustainable Energy · 2019 · 324 citations
Computing, Data Science, Meteorology +17
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118

Deakin University
Burwood, Australia
5 h-index
12 publications
3.1K citations
Iowa State University
Ames, United States
4 h-index
7 publications
327 citations
University of Udine
Udine, Italy
4 h-index
4 publications
84 citations

La Trobe University
Melbourne, Australia
3 h-index
3 publications
104 citations

Supélec
Gif-sur-Yvette, France
3 h-index
10 publications
341 citations
Laboratoire Génie Industriel
Gif-sur-Yvette, France
3 h-index
3 publications
109 citations

Huazhong University of Science and Technology
Wuhan, China
3 h-index
10 publications
1.5K citations
Louisiana State University
Baton Rouge, United States
2 h-index
2 publications
99 citations
1–8 of 118
4 publications · 111 citations
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4 publications · 104 citations
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4 publications · 181 citations
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3 publications · 118 citations
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3 publications · 74 citations
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