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Yongpei Guan - University of Florida. Gainesville, FL, US

Yongpei Guan Yongpei Guan

Professor, Associate Chair | University of Florida

Gainesville, FL, UNITED STATES

Yongpei Guan is an expert in stochastic and discrete optimization, power system operations and supply chain management.


Yongpei Guan serves as the associate chair of Graduate Studies and is the George and Rolande Willis Endowed Professor of Industrial and Systems Engineering. He is the director of the Computational Optimization and Energy Systems Lab and co-director of the Supply Chain and Logistics Engineering Center. His research interests include stochastic and discrete optimization, power system operations and supply chain management.

Areas of Expertise (5)

Supply Chain

Computational Optimization

Supply Chain & Logistics

Systems Engineering and Design

Power System Operations

Articles (3)

Service system design of video conferencing visits with nurse assistance

IISE Transactions

Xiaojie Wang, et al.


Despite providing convenience and reducing the travel burden of patients, video-conferencing (VC) clinical visits have not enjoyed wide uptake by patients and care providers. It is desired that the medical problems addressed by VC visits can match a face-to-face encounter in scope and quality. This paper explores the implementability of VC visits with nursing services using a game-theoretic model and investigates the impact of different pricing schemes on patients’ care choices between VC and in-person visits.

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Multistage Stochastic Power Generation Scheduling Co-Optimizing Energy and Ancillary Services

Informs Journal on Computing

Jianqiu Huang, et al.


This paper develops a multistage stochastic optimization model for system operators to efficiently schedule power-generation assets to co-optimize power generation and regulation reserve service under uncertainty. In addition, it explores its polyhedral structure by investigating physical characteristics of individual generators, the system-wide requirements that couple all of the generators, and the scenario tree structure for our proposed multistage model.

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An Extended Integral Unit Commitment Formulation and an Iterative Algorithm for Convex Hull Pricing

Institute of Electrical and Electronics Engineers

Yanan Yu, et al.


To increase market transparency, independent system operators (ISOs) have been working on minimizing uplift payments based on convex hull pricing theorems. Along this direction, in this paper, based on the analysis of specific generator features in the Midcontinent ISO (MISO) system, besides reviewing integral formulations for several special cases, we develop two integral formulations of a single generator that can capture these features.

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