Herbert Wertheim College of Engineering
Computational Optimization and Energy Systems Laboratory (CSO)
Led by Yongpei Guan · Industrial and Systems Engineering
What we study
This lab uses math and computer models to solve problems in energy systems and supply chains, like managing power grids with renewable energy and optimizing storage. They focus on uncertainty in real-world decisions.
What working here is like
- Computational
- Coding required
- Projects
- 3
- Papers
- 5
Current projects
Multi-stage Mixed Integer Programming under Uncertainty
They study math methods to handle uncertainty in energy systems.
Power System Analysis
They develop ways to manage power grids with renewable energy.
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Electricity Market Design and Energy Storage
Studies electricity market design and energy storage, using math and computer models to explore strategies for trading energy.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- A hybrid risk management framework for resilient medical supply chain design in the post-pandemic era
2025 · Journal of Cleaner Production
- Polynomial-time algorithms for deterministic uncapacitated lot-sizing problem with heterogeneous production cycles
2025 · Operations Research Letters
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- Bidding Strategies for Battery Energy Storage Addressing Uncertain Market Clearance
2025 · IEEE Transactions on Power Systems
Explores bidding strategies for battery storage to handle market price changes.
- Energy justice and equity: A Review of definitions, measures, and practice in policy, planning, and operations
2025 · Renewable and Sustainable Energy Reviews
- An Analysis of Market-to-Market Coordination
2025 · IEEE Transactions on Energy Markets Policy and Regulation
Analyzes how regional power grids coordinate to reduce congestion costs.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
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