On April 30, 2025, the award ceremony of the 2025 Digital China Innovation Contest Grand Final was held in Fuzhou. The team led by Professor Guo Qinglai from the Department of Electrical Engineering and Applied Electronics (EEA), Tsinghua University, won first prize—the highest honor—in the “Data Elements Track: Collaborative Computing and Electricity for Energy Efficiency Enhancement Exploration and Practice” category. Team members included postdoctoral researchers Chen Min and Zhao Haotian, as well as PhD candidate Wang Yi.

Award Ceremony
The Digital China Innovation Contest is a high-level professional event organized by the Organizing Committee of the Digital China Summit and serves as a flagship event of the Digital Summit. This year, the Contest introduced a new dedicated track on "Collaborative Computing and Electricity," focusing on deep integration and innovation between power systems and computing resources. The goal is to address energy management challenges of computing infrastructure and build a green and low-carbon digital foundation. The Tsinghua University team proposed a comprehensive solution for unlocking the flexibility of data center loads through computing-electricity collaboration. Centered around business logic, the solution features innovations such as integrated energy management in computing campuses, unified battery scheduling on the HVDC side of computing centers, and energy usage curve shaping for large model training. Over 1,900 teams from across the country participated in this track, including enterprises, universities, and research institutions from both the power and computing industries. The Tsinghua team ranked first among all 1,900+ teams.

Group Photo of Some Team Members
The dispatch automation research team from EEA at Tsinghua University has over thirty years of research experience in power grid control centers and is one of the most influential research teams in China in the field of energy management and dispatch control. The team has previously won a First Prize of the National Science and Technology Progress Award, a Second Prize of the National Technological Invention Award, and a Second Prize of the National Science and Technology Progress Award, and has twice been selected as one of the Top Ten Scientific and Technological Advances in Chinese Higher Education Institutions. In recent years, the team has placed strong emphasis on interdisciplinary innovation in “AI + Energy,” and has collaborated extensively with leading domestic enterprises such as State Grid, China Southern Power Grid, ByteDance, Toyota, and 21Vianet. The team has achieved a series of research results in areas such as scientific computing and collaborative computing-electricity integration.