Eligible participants
University students (undergraduate, master and PhD students). Students may apply for this competition individually or as a team, endorsed by their supervisor.
Competition overview
This competition focuses on demonstrating the latest advancements, practical applications, and future potential of AI in smart energy systems. It brings together brilliant students to share insights, demonstrate real-world deployments, and promote collaboration on innovative AI-enabled solutions. We encourage real-world applications of AI-enabled technologies in areas including, but not limited to, smart buildings, smart grids, renewable energy systems, distributed energy systems, and their AI-enabled digital twins. Case studies conducted on open-access datasets are not preferred.
Prizes for the winner and finalist
To encourage high-quality submissions and recognize outstanding work, the competition will present one RISE Research Student Internship Award to the winner, and merit certificates to those who are shortlisted for final presentation.
RISE Research Student Internship Award: A one-month student internship fully funded (award total amount: HKD 30,000 covering round-trip travel and living expenses in Hong Kong) by the Research Institute for Smart Energy (RISE) at the Hong Kong Polytechnic University (PolyU) will be awarded to the winning project. The awardee will work in the RISE as a research assistant for one month*.
* Subject to obtaining a valid Hong Kong work visa. RISE will support the winner’s visa application, but final approval is subject to the decision of the Hong Kong Immigration Department.
The first-listed student of the winning project will be recognized as the main contributor and receive the internship award. The other students and the supervisor will receive the award certificates.
Submission requirements
Interested students must submit their applications by 30 June 2026. The submission requires 1-page A4 PDF including: short biography of the applicant(s)/team, real world case briefing, AI enabled methods and solutions, and measurable outcomes/achievements; 1-page A4 PDF of the supporting materials list including: published papers, patents, and third-party verification certificates, etc. Only shortlisted applicants will be asked to provide copies of the supporting materials.
Selection criteria
The assessment criteria include innovation (30%), measurable outcomes (30%), impact (10%) and final presentation (30%). Six applications will be shortlisted for the in-person final presentation to a judging panel during the conference. Each presentation includes 10 minutes of oral presentation and 10 minutes of Q&A.
Competition Committee
Professor Fu Xiao, Dr Yongbao Chen, Dr Zhe Chen