The Best Paper Award at ACM e-Energy 2023

The Best Paper Award at ACM e-Energy 2023

Junyan Su, Qiulin Lin and Prof. Minghua Chen received the only Best Paper Award at ACM e-Energy* 2023  (ACM SIGEnergy** top conference on sustainability and energy systems, including sustainable AI and machine learning systems) for the paper:
J. Su, Q. Lin, and M. Chen, “Follow the Sun and Go with the Wind: Carbon Footprint Optimized Timely E-Truck Transportation”, in Proceedings of 14th International Conference on Future Energy Systems (ACM e-Energy 2023), Orlando, Florida, June 20 – 23, 2023.
Prof. Chen and Junyan received the award certificate in the conference held at Orlando, Florida, on 20 – 23 June, 2023.

The conference website with the announcement is here:

In the work, the team from City University of Hong Kong develops a path-opening approach to minimize carbon footprint of timely transportation in electric heavy-duty truck operation, which is essential for sustainable trucking but is challenging due to its non-convexity, deadline and battery constraints, and combinatorial nature. Their efficient solution comes with strong performance guarantee and reduces up to 28% carbon footprint as compared to baseline alternatives, in extensive simulations based on real-world traces over a national highway system. They expect the novel approach to find applications beyond the problem studied in this paper. The work has also led to a related HKTech 300 supported project (

*ACM e-Energy is the flagship conference organized by ACM’s Special Interest Group on Energy Systems and Informatics (SIGEnergy). By bringing together researchers in a high-quality single-track conference with significant opportunities for individual and small-group interaction, it serves as a premier forum for presentations and discussions that will shape the future of energy systems, energy informatics and sustainability. ACM e-Energy 2023 accepts 31 full papers out of 135 submissions in its multiple rounds of submissions and revisions, with an acceptance rate of 23%

**ACM SIGEnergy is a professional forum for scientists, engineers, educators, and professionals for discussing energy systems and energy informatics, as well as sustainability. It brings together an inter-disciplinary group of computer scientists with diverse backgrounds in sensing, modelling, optimization, control, network and systems design, and experimentation to discuss and address key challenges in future energy systems, and their impact on society.

Share this content


Units 1101-1102 & 1121-1123,
Building 19W Science Park West Avenue,
Hong Kong Science Park,
Shatin, Hong Kong

Products & Solutions


About Us


Copyright © 2024 Laboratory for AI-Powered Financial Technologies Ltd. All Rights Reserved.