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Cheng Guo (郭成)

Assistant Professor in the School of Mathematical & Statistical Sciences, Clemson University

Research

(*: alphabetical author ordering; Underline: student coauthor.)

Journal Articles

  • “Risk-Aware Security-Constrained Unit Commitment”, D. Bienstock, Y. Dvorkin, C. Guo, R. Mieth, J. Wang,* accepted at IEEE Transactions on Energy Markets, Policy, and Regulation, 2024. [paper][slides]

  • “Generation Expansion Planning with Revenue Adequacy Constraints”, C. Guo, M. Bodur, D. Papageorgiou, Computers & Operations Research, 2022. [paper][poster]

  • “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

  • “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]

  • “Incentivizing Investment and Reliability: A Study on Electricity Capacity Markets”, C. Guo, C. Kroer, Y. Dvorkin, D. Bienstock, submitted, 2023. [preprint][slides]

  • “Copositive Duality for Discrete Energy Markets”, C. Guo, M. Bodur, J. A. Taylor, major revision at Management Science, 2023. [preprint][slides (MIP Workshop)]

Work in Progress

  • “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

  • Online supplements for “Generation Expansion Planning with Revenue Sufficiency Constraints”, by Guo, Bodur, and Papageorgiou: [DataExplanation][AdditionalFigures].

  • 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].