Cheng Guo (郭成)
Assistant Professor in the School of Mathematical & Statistical Sciences, Clemson University
Research
(*: corresponding author; Underline: student coauthor.)
Journal Articles
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“Copositive Duality for Discrete Energy Markets”, Cheng Guo*, Merve Bodur, Joshua A. Taylor, Management Science, 2025. [paper][slides (MIP Workshop)]
- Previous version: “Copositive Duality for Discrete Markets and Games” [preprint][talk (DOTs)][poster]
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“Tightening Quadratic Convex Relaxations for the Alternating Current Optimal Transmission Switching Problem”, Cheng Guo*, Harsha Nagarajan, Merve Bodur, INFORMS Journal on Computing, 2025. [paper][slides]
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“Risk-Aware Security-Constrained Unit Commitment”, Daniel Bienstock, Yury Dvorkin, Cheng Guo*, Robert Mieth, Jiayi Wang, IEEE Transactions on Energy Markets, Policy, and Regulation, 2024. [paper][slides]
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“Generation Expansion Planning with Revenue Adequacy Constraints”, Cheng Guo*, Merve Bodur, Dimitri 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”, Cheng Guo*, Merve Bodur, Dionne Aleman, and David Urbach, INFORMS Journal on Computing, 2021.[paper][poster]
Preprints
- “Incentivizing Investment and Reliability: A Study on Electricity Capacity Markets”, Cheng Guo*, Christian Kroer, Yury Dvorkin, Daniel Bienstock. [preprint][slides]
Ph.D. Thesis
- “Optimization Models and Algorithms for Nonconvex Planning, Pricing and Operational Problems in Power Systems and Energy Markets”, 2021.[paper]
Code, Data and Online Supplements
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Code for “Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem”, by Guo, Nagarajan, Bodur: [Code]
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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].