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.
Biography
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 TransactionsXiaojie Wang, et al.
2021-10-28
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.
Multistage Stochastic Power Generation Scheduling Co-Optimizing Energy and Ancillary Services
Informs Journal on ComputingJianqiu Huang, et al.
2020-08-12
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.
An Extended Integral Unit Commitment Formulation and an Iterative Algorithm for Convex Hull Pricing
Institute of Electrical and Electronics EngineersYanan Yu, et al.
2021-05-07
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.
