CV

Research Appointments

Postdoctoral Research Scientist, Department of Earth and Environmental Engineering, Columbia University, Oct. 2026 – Present
- Postdoctoral Advisor: Prof. Bolun Xu
Postdoctoral Research Associate, Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Jul. 2026 – Sept. 2026
Visiting Research Collaborator, Andlinger Center for Energy and the Environment, Princeton University, Mar. 2025 – Feb. 2026
- Faculty Host: Prof. Jesse Jenkins

Ph.D. in Electrical Engineering, Tsinghua University, China, Sept. 2021 – Jun. 2026
- Graduated with the university’s highest honor for graduates
- Ph.D. Advisor: Prof. Chongqing Kang
- Ph.D. dissertation: Industrial Load Modeling and Optimization Decision-Making Methods for Market-Based Interaction
- Dissertation defense slides: Download
B.E. in Electrical Engineering, Tsinghua University, China, Sept. 2017 – Jun. 2021
- Graduated with honors
Bachelor of Business Administration (Second Degree), Tsinghua University, China, Sept. 2018 – Jun. 2021
- School of Economics and Management

Manuscripts under review

R. Lyu and H. Guo, “Demand flexibility must account for consumer-side capital costs,” Nature Reviews Clean Technology, under review.
R. Lyu and T. Li, “Do We Still Need Demand Flexibility as Batteries Become Cheaper? A Levelized Cost Perspective,” Energy Conversion and Management, under review.

Journal articles

R. Lyu, A. Li, J. Wang, H. Luo, E. Du, H. Guo, C. Kang, and J. Jenkins, “Industrial overcapacity can enable seasonal flexibility in electricity use,” Nature Energy, vol. 11, pp. 1203–1215, 2026. Cover Article.
R. Lyu, H. Guo, G. Strbac, and C. Kang, “Data-Driven Dimension Reduction for Industrial Load Modeling Using Inverse Optimization,” IEEE Transactions on Smart Grid, vol. 16, no. 3, pp. 2695–2698, 2025.
R. Lyu, H. Guo, Q. Tang, Q. Chen, and C. Kang, “Production Scheduling Identification: An Inverse Optimization Approach for Industrial Load Modeling Using Smart Meter Data,” IEEE Transactions on Smart Grid, vol. 16, no. 2, pp. 1207–1220, 2025.
R. Lyu, X. Su, E. Du, H. Guo, Q. Chen, and C. Kang, “Efficient Scheduling of Discrete Industrial Processes through Continuous Modeling,” IEEE Transactions on Smart Grid, vol. 16, no. 6, pp. 4726–4740, 2025.
R. Lyu, H. Guo, K. Zheng, M. Sun, and Q. Chen, “Co-Optimizing Bidding and Power Allocation of an EV Aggregator Providing Real-Time Frequency Regulation Service,” IEEE Transactions on Smart Grid, vol. 14, no. 6, pp. 4594–4606, 2023.
R. Lyu, Y. Gu, and Q. Chen, “Electric Vehicle Charging Right Trading: Concept, Mechanism, and Methodology,” IEEE Transactions on Smart Grid, vol. 13, no. 4, pp. 3094–3105, 2022.

Conference papers

R. Lyu, H. Guo, and Q. Chen, “Approximating Energy-Regulation Feasible Regions of Virtual Power Plants: A Data-Driven Inverse Optimization Approach,” 2024 IEEE Power & Energy Society General Meeting (PESGM), Seattle, WA, USA, 2024, pp. 1–5.
R. Lyu, H. Guo, Y. Zheng, Y. Bai, and Q. Chen, “LSTN: A Linear Model of Industrial Production Process for Demand Response,” 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Grenoble, France, 2023, pp. 1–5.

Outstanding Doctoral Dissertation, Tsinghua University (2026)
Finalist, Top 10 Rising Stars in Research, Tsinghua University (2026)
Best Presentation Award (one of two), IEEE PES Ph.D. Dissertation Challenge (2025)
Best Oral Presentation Award, PCCC Student Networking Session, IEEE PES General Meeting (2025)
National Scholarship for Graduate Students, Ministry of Education of China (2025, 2023)
Finalist, University-wide Top 10 Students, Tsinghua University (2025)
Outstanding Senior Thesis, Tsinghua University (2021)