SEE PhD Student Xu CHEN Won Gold and Most Efficient AI Algorithm Awards at Global AI Challenge 2025
Under the supervision of Prof. Edwin Tso, Associate Dean (Internationalisation and Outreach) at the School of Energy and Environment (SEE), City University of Hong Kong (CityUHK), PhD student Mr. Xu CHEN achieved remarkable success in the Global AI Challenge for Building E&M Facilities 2025. Collaborating with Dr. Chun FU and PhD student Mr. Wenhao ZHANG from the National University of Singapore (NUS), the team was awarded both the Gold Award and the Most Efficient Algorithm Award, in recognition of their cutting-edge AI modeling and innovative research.
Mr. Xu CHEN (2nd from the left) at the 2025 Global AI Challenge Awards Presentation
Organized by the Hong Kong Electrical and Mechanical Services Department (EMSD) and the Guangdong Provincial Association for Science and Technology, the 2025 Global AI Challenge focused on advancing AI techniques for predicting building energy consumption. Beginning in March 2025, Mr. CHEN and his team, under Prof. Tso’s expert guidance, experimented with a range of AI algorithms to improve operational efficiency and predictive accuracy.
Their final solution—a unique dual-model ensemble architecture integrating a Time of Week (TOW) model with a LightGBM gradient boosting model—enabled fast and precise energy consumption predictions. This innovative approach propelled the team to top rankings on both the public and private leaderboards, securing them the Gold Award and the prestigious Most Efficient Algorithm Award in the Global AI Challenge.
These accolades not only underscore the technical excellence and creativity of SEE researcher, but also reflect the invaluable mentorship of Prof. Edwin Tso and the School’s steadfast commitment to advancing sustainable technologies through interdisciplinary collaboration. Congratulations to Mr. Xu CHEN on this well-deserved recognition!