Chance-Constrained Optimization is a stochastic optimization framework that belongs to the class of optimization methods under uncertainty, distinguished by its imposition of probabilistic constraints that require decision variables to satisfy certain constraints with a specified probability level.
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47.6K
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2K
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698
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Publications per year
2017–2026
381
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Publications
829
1–5 of 829
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2K
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16
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11
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9
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9
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8
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698
Tsinghua University
Beijing, China
23 h-index
86 publications
4.7K citations
North China Electric Power University
Beijing, China
19 h-index
82 publications
2.5K citations
University of Regina
Regina, Canada
18 h-index
46 publications
2.3K citations
Technical University of Denmark
Kongens Lyngby, Denmark
17 h-index
34 publications
1.7K citations
ETH Zurich
Zurich, Switzerland
16 h-index
48 publications
2.6K citations
Georgia Institute of Technology
Atlanta, United States
14 h-index
24 publications
3.9K citations
Beijing Jiaotong University
Beijing, China
13 h-index
38 publications
1.4K citations
Nanyang Technological University
Singapore, Singapore
13 h-index
16 publications
434 citations
1–8 of 698
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- IEEE Transactions on Power Systems
42 publications · 4K citations
30
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- IEEE Transactions on Smart Grid
26 publications · 2.5K citations
23
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- Mathematical Programming
19 publications · 2.6K citations
19
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- Operations Research
21 publications · 1.7K citations
18
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- European Journal of Operational Research
16 publications · 758 citations
15
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