Preface
The 2025 5th International Conference on Energy, Power and Advanced Thermodynamic Systems (EPATS 2025), held in Kunming, China, from February 21 to 23, 2025. This year’s conference, hosted by Tianjin University, China, was conducted entirely online, bringing together a diverse and global community of researchers, academics, and industry professionals. EPATS 2025 served as a platform for the exchange of cutting-edge ideas, innovative research, and practical solutions in the fields of energy, power, and advanced thermodynamic systems. The conference underscored the critical role of interdisciplinary collaboration in addressing the pressing challenges of energy sustainability, efficiency, and resilience in a rapidly evolving world. The conference featured three distinguished keynote speakers, each of whom delivered thought-provoking presentations that set the tone for the discussions that followed. Assoc. Prof. Muhyiddine Jradi from the University of Southern Denmark, Denmark, opened the keynote sessions with his presentation. His insights into the integration of digital twins in energy management highlighted the transformative potential of digital technologies in optimizing energy systems. Prof. Ting Yang from Tianjin University, China, followed with a presentation, emphasizing the importance of intelligent systems in advancing renewable energy integration. Finally, Prof. Qiang Yang from Zhejiang University, China, concluded the keynote sessions with his talk on “Artificial Intelligence Empowered Power Infrastructures”, exploring the pivotal role of AI in enhancing the safety and reliability of power infrastructures. These keynote speeches not only provided a comprehensive overview of the latest advancements but also inspired meaningful discussions among participants. List of Committee member is available in this PDF.
Publication Details
- Journal
- Journal of Physics Conference Series
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1088/1742-6596/3011/1/011001
- Primary Topic
- Integrated Energy Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00