Recently, Shen Yan (Class of 2021, senior) and Chen Ruoxu (Class of 2022, junior), undergraduate students from the Department of Electrical Engineering and Applied Electronics (EEA), Tsinghua University, participated as first authors of their respective submitted papers at the IEEE-affiliated conferences PSSGT 2025 and EECT 2025. Both students presented their research and were awarded the Best Presentation Award, standing out as the only undergraduate recipients at their respective conferences.

From April 11 to 13, the 2025 IEEE International Conference on Power Systems and Smart Grid Technologies (PSSGT 2025) was held in Chongqing. Shen Yan from Tsinghua University’s Department of Electrical Engineering received the Best Presentation Award, the only undergraduate to do so. His presentation, titled “Integrate Electrolytic Aluminum Loads into Power Grid Interaction: Practical Challenge and Modeling Approach,” focused on practical issues in flexible regulation of electrolytic aluminum loads, including inaccurate modeling of thermal equilibrium mechanisms, unclear cost-effectiveness, and high computational complexity. The study proposed an improved modeling method to avoid unrealistic temperature dynamics in the optimal scheduling of such loads and successfully reduced the total regulation cost by 34%.

PSSGT 2025 was co-hosted by Chongqing University and the University of Tokyo under the theme “Smart Energy, Green Interconnection.” The conference brought together over 110 experts, scholars, and students in the field of power systems and smart grid technology. It featured 10 offline parallel sessions, one online session, and two poster exhibitions, totaling over 100 presentations. Eight Best Presentation Awards were selected.

PSSGT 2025 Organizers Presenting the Award to Shen Yan

Shen Yan Receiving the Best Presentation Certificate at PSSGT 2025

From March 21 to 23, the 5th International Conference on Electrical, Electronics and Computing Technologies (EECT 2025) was held in Guangzhou. Chen Ruoxu from the Department of Electrical Engineering at Tsinghua University received the Best Presenter Award, the only undergraduate among the awardees. His presentation, titled “Combining AI and Simulation to Assess Building Demand Response Potential at Scale,” addressed the difficulties of data acquisition and high system modeling costs in traditional demand response potential assessments. He proposed a novel method integrating AI and simulation to evaluate building demand response potential. By combining AI techniques with advanced building energy consumption simulation technologies, and leveraging large-scale simulation datasets, the study directly learned the mapping between key parameters (e.g., floor area, wall types) and demand response potential, providing technical support for large-scale implementation of building demand response.

EECT 2025 was hosted by South China University of Technology, IEEE, and the IEEE Guangzhou Section. The conference aimed to gather top academic scientists, researchers, and scholars to share and discuss their experiences and research across all aspects of electrical, electronics, and computing technologies. Over 40 presentations from industry and academia were featured, with four Best Presenter Awards selected.

EECT 2025 Organizers Presenting the Award to Chen Ruoxu

Chen Ruoxu Receiving the Best Presenter Certificate at EECT 2025

Shen Yan

Undergraduate student (Class of 2021) in EEA, Tsinghua University. He plans to pursue a direct Ph.D. track in the Smart Energy Lab (EILAB) under the supervision of Professor Kang Chongqing, with Associate Researcher Guo Hongye as co-advisor. His research focuses on market-oriented interaction of industrial loads. Shen has previously received numerous honors, including the Special Prize in the 2024 Tsinghua University "Challenge Cup" (as first author) and the Special Prize for Outstanding SRT Projects (2024). He is the first author of the conference paper; the second author is doctoral student Lv Ruike (EEA), and the corresponding author is Associate Researcher Guo Hongye.

Chen Ruoxu

Undergraduate student (Class of 2022) in EEA, Tsinghua University. He is currently a member of an SRT project team in the EILAB group. The project is supervised by Associate Researcher Guo Hongye, with doctoral student Lü Ruike serving as teaching assistant. Chen is the first author of the conference paper, and Associate Researcher Guo Hongye is the corresponding author.