Cheng Guo (郭成)
Assistant Professor in the School of Mathematical & Statistical Sciences, Clemson University
Research
(*: alphabetical author ordering; Underline: student coauthor.)
Journal Articles
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“Generation Expansion Planning with Revenue Adequacy Constraints”, C. Guo, M. Bodur, D. Papageorgiou, Computers & Operations Research, 2022. [paper][poster]
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“Logic-based Benders Decomposition and Binary Decision Diagram Based Approaches for Stochastic Distributed Operating Room Scheduling”, C. Guo, M. Bodur, D. Aleman, and D. Urbach, INFORMS Journal on Computing, 2021.[paper][poster]
Submitted
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“Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem”, C. Guo, H. Nagarajan, M. Bodur, major revision at INFORMS Journal on Computing, 2024. [paper][slides]
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“Risk-Aware Security-Constrained Unit Commitment”, D. Bienstock, Y. Dvorkin, C. Guo, R. Mieth, J. Wang,* revise and resubmit at IEEE Transactions on Energy Markets, Policy, and Regulation, 2024. [preprint][slides]
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“Incentivizing Investment and Reliability: A Study on Electricity Capacity Markets”, C. Guo, C. Kroer, Y. Dvorkin, D. Bienstock, submitted, 2023. [preprint][slides]
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“Copositive Duality for Discrete Energy Markets”, C. Guo, M. Bodur, J. A. Taylor, major revision at Management Science, 2023. [preprint][slides (MIP Workshop)]
- Previous version: “Copositive Duality for Discrete Markets and Games” [preprint][talk (DOTs)][poster]
Work in Progress
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“A Multistage Stochastic Integer Programming Approach to Distributed Operating Room Scheduling”, A. Deza, C. Guo, M. Bodur, in preparation.
- Selected as a finalist in 2020 INFORMS Undergraduate OR Prize Competition.
Ph.D. Thesis
- “Optimization Models and Algorithms for Nonconvex Planning, Pricing and Operational Problems in Power Systems and Energy Markets”, 2021.[paper]
Data and Online Supplements
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Online supplements for “Generation Expansion Planning with Revenue Sufficiency Constraints”, by Guo, Bodur, and Papageorgiou: [DataExplanation][AdditionalFigures].
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Data for “Logic-based Benders Decomposition and Binary Decision Diagram Based Approaches for Stochastic Distributed Operating Room Scheduling”, by Guo, Bodur, Aleman, and Urbach: [DataExplanation][Dataset].