Data-driven robust optimization for pipeline scheduling under flow rate uncertainty
•Efficient deterministic continuous-time MILP model for scheduling the transportation of oil derivatives via pipeline.•Smaller-sized model and faster computational time compared to previous models.•Scheduling under uncertainty using data-driven robust optimization.•Application of support vector clus...
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Published in | Computers & chemical engineering Vol. 193; p. 108924 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.02.2025
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Subjects | |
Online Access | Get full text |
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