A data-driven approach for crude oil scheduling optimization under product yield uncertainty-Reference-Cited by-同舟云学术

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A data-driven approach for crude oil scheduling optimization under product yield uncertainty

Published:2021-12 Issue: Volume:246 Page:116971
ISSN:0009-2509
Container-title:Chemical Engineering Science
language:en
Short-container-title:Chemical Engineering Science

Author:

Dai Xin,Zhao Liang,Li Zhi,Du Wenli,Zhong Weimin,He Renchu,Qian Feng

Funder

National Natural Science Foundation of China

International Cooperation and Exchange Programme

Publisher

Elsevier BV

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Reference37 articles.

1. Continuous-time modeling and global optimization approach for scheduling of crude oil operations;Li;AIChE J.,2012

2. Mixed-integer linear programming model for refinery short-term scheduling of crude oil unloading with inventory management;Lee;Ind. Eng. Chem. Res.,1996

3. Novel solution approach for optimizing crude oil operations;Reddy;AIChE J.,2004

4. A new continuous-time formulation for scheduling crude oil operations;Reddy;Chem. Eng. Sci.,2004

5. New approach for scheduling crude oil operations;Pan;Chem. Eng. Sci.,2009

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4. Data-driven Wasserstein distributionally robust chance-constrained optimization for crude oil scheduling under uncertainty;Chinese Journal of Chemical Engineering;2024-05

5. Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-04

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