Parameter Uncertainty Optimization
Parameter Uncertainty Optimization is a methodological framework within optimization under uncertainty that specifically addresses the inherent variability and imprecision in model parameters by systematically incorporating probabilistic, interval-based, or scenario-driven representations of parameter uncertainty to yield robust or adaptive optimal solutions.
261
Publications
10.5K
Citations
757
Authors
330
Institutions
Publications per year
2017–2026
101
261
1–5 of 261
757
14
h-index
7
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6
h-index
4
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4
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1–5 of 757
330
Tsinghua University
Beijing, China
12 h-index
32 publications
1.1K citations

University of Regina
Regina, Canada
12 h-index
28 publications
1.8K citations

North China Electric Power University
Beijing, China
12 h-index
29 publications
824 citations

Hunan University
Changsha, China
8 h-index
19 publications
999 citations
University College London
London, United Kingdom
7 h-index
14 publications
362 citations

Beijing Normal University
Beijing, China
6 h-index
16 publications
1.6K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
12 publications
628 citations

Delft University of Technology
Delft, The Netherlands
5 h-index
10 publications
1.3K citations
1–8 of 330
8 publications · 368 citations
8
h-index
8 publications · 480 citations
8
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7 publications · 179 citations
7
h-index
7 publications · 245 citations
7
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5 publications · 168 citations
5
h-index
1–5