Ruiyang Jin 金瑞杨

I have been a Ph.D. student of management science and engineering in the Department of Industrial Engineering and Management at Peking University since Sep. 2019. Before that, I got my B.E. degree in aerospace engineering at PKU in 2019. Currently, I am visiting CMS (Computing and Mathematical Sciences) at California Institute of Technology as a visiting scholar (Dec. 2022-Now).

My research interests lie in modeling and optimization for multiagent systems. The techniques mainly include multiagent reinforcement learning, zeroth-order optimization, and simulation-based optimization. The applications include demand side management, renewable energy integration, and energy storage planning & operation in low-carbon systems.

Email: jry@pku.edu.cn

Publications

Journal Paper

[1] Jin R, Zhou Y, Lu C, et al. Deep reinforcement learning-based strategy for charging station participating in demand response. Applied Energy, 2022, 328: 120140. [link]

[2] Zhang T, Wang J, Wang H, Jin R, et al. On the Coordination of Transmission-Distribution Grids: A Dynamic Feasible Region Method. IEEE Transactions on Power Systems, 2022. [link]

[3] Wang P, Wang J, Jin R, et al. Integrating biogas in regional energy systems to achieve near-zero carbon emissions. Applied Energy, 2022, 322: 119515.[link]

[4] Jin R, Lu C, Song J. Manage distributed energy storage charging and discharging strategy: Models and algorithms. IEEE Transactions on Engineering Management, 2020. [link]

[5] Jin R, Song J, Liu J, et al. Location and capacity optimization of distributed energy storage system in peak-shaving. Energies, 2020, 13(3): 513. [link]

Conference Paper

[1] Jin R, Lu Y, Wang Y, et al. The Short-Term Power Consumption Forecasting Based on the Portrait of Substation Areas. 2020 IEEE International Conference on Knowledge Graph (ICKG). IEEE, 2020: 649-653. [link]

[2] Jin R, Lu C, Song J. Deep Reinforcement Learning-based Strategy for Charging Station Participating in Demand Response. 2021 IEEE PES General Meeting, oral speech.

[3] Zhou Y, Jin R, Song J. An online learning method for industrial demand response based on load disaggregation. IEEE I&CPS Asia 2022. [link] (Best Student Paper Award)

Ongoing work

[1] Jin R, Tang Y, Song J. Zeroth-Order Feedback-Based Optimization for Distributed Demand Response. Submitted to IEEE Transactions on Automatic Control.

[2] Jin R, Chen, Z, Lin Y, Song J, Adam W. Approximate Global Convergence of Independent Natural Actor-Critic in Multi-Agent Systems. Submitted to SIGMETRICS 2024.

Honors and Awards

BHP “Carbon and Climate” Weiming Scholar: Peking University 2022, among 10 selected graduate students of PKU
Best Student Paper Award: IEEE I&CPS Asia 2022
Young Talent in China High-Tech Innovation Think Tank, China Association for Science and Technology 2021
The 3rd China Industrial Engineering and Lean Management Innovation Competition: Top prize 2020, group leader
Peking University President Scholarship: Peking University 2020
Dean's scholarship of COE: Peking University 2020, 2023
Wu Kangming Scholarship: Peking University 2019
Yang Fuqing-Wang Yangyuan Scholarship: Peking University 2018
Wei Lin Scholarship: Peking University 2017

Membership and Service

Reviewer for Applied Energy, IEEE Transactions on Engineering Management
Teaching Assistant at PKU: Simulation and Modelling in 2021 Fall
Teaching Assistant at PKU: Applied Statistics in 2020 spring
Research mentor for two undergraduate students in 2021 and 2022
IEEE student member, Informs student member
Chairman of the Chinese calligraphy and painting association of PKU in 2019