Load Forecasting Uncertainty Quantification
Load Forecasting Uncertainty Quantification is a methodological framework within load forecasting that characterizes the probabilistic bounds and confidence levels of predicted electricity demand by systematically assessing sources of uncertainty in forecasting models, inputs, and external factors.
220
Publications
14.9K
Citations
706
Authors
298
Institutions
Publications per year
2017–2026
121
Parents
220
1–5 of 220
706
10
h-index
7
h-index
7
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5
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1–5 of 706
298
Tsinghua University
Beijing, China
12 h-index
30 publications
3.4K citations
National University of Singapore
Singapore, Singapore
10 h-index
18 publications
2.7K citations

North China Electric Power University
Beijing, China
9 h-index
24 publications
1.1K citations

University of North Carolina at Charlotte
Charlotte, United States
7 h-index
11 publications
1.9K citations

University of Macau
Macao, Macao
6 h-index
8 publications
332 citations
ETH Zurich
Zurich, Switzerland
5 h-index
8 publications
697 citations

Deakin University
Burwood, Australia
5 h-index
11 publications
1.5K citations
University of Tennessee at Knoxville
Knoxville, United States
4 h-index
6 publications
687 citations
1–8 of 298
22 publications · 1.9K citations
18
h-index
17 publications · 1.9K citations
16
h-index
13 publications · 904 citations
13
h-index
14 publications · 2K citations
13
h-index
12 publications · 821 citations
12
h-index
1–5