[TC Webinar] Digital Twin for Cyber-Physical Energy Systems
Tuesday 24 November 2026 at 1:00 PM CET, 7:00 AM ET
By Yushuai Li (Department of Computer Science, Aalborg University, Denmark)
Register now using the link below:
https://attendee.gotowebinar.com/register/1399131203827564375
Abstract:
Driven by rapid advances in data science and artificial intelligence, digital twins (DTs) have emerged as a promising paradigm and are attracting increasing attention worldwide. By creating virtual representations of real-world systems, DTs have the potential to fundamentally transform decision-making and enable predictive optimization and control for cyber-physical energy systems (CPESs).
This webinar will introduce the concept, modeling and learning methods, and a testing platform for DTs, together with their applications in CPESs. First, Dr. Li will discuss the basic concept and key challenges of DTs. Then, he will present several modeling and learning methods for DTs, each illustrated through a specific application in CPESs. Next, Dr. Li will introduce an open-access testing platform. Finally, he will conclude and point out related open issues.
This webinar is intended for professionals and researchers interested in gaining a deeper understanding of DTs and their emerging applications in CPESs, while keeping up with the latest developments in this rapidly evolving field.
Presenter’s bio:
Yushuai Li (Senior Member, IEEE) received the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 2019. He is currently an Associate Professor in the Department of Computer Science at Aalborg University. His main research interests include distributed optimization and control, machine learning, digital twins, and their applications in energy and transportation systems. He has published more than 100 papers in prestigious journals and conferences. Among them, two are ESI Hot Papers and seven are ESI Highly Cited Papers according to Web of Science. He has been listed among Stanford University/Elsevier’s World’s Top 2% Scientists since 2024. He received Best Paper Awards from the Journal of Modern Power Systems and Clean Energy (MPCE) in 2021 and 2024, at ICCSIE in 2023, and at IEEE EI2 in 2024. He received the Excellent Young Expert Award from MPCE in 2023, the CAA Second Prize of National Natural Science in 2022, and the CAA First Prize of National Natural Science in 2023. He serves as an Associate Editor for IEEE Transactions on Industrial Informatics, IEEE Transactions on Automation Science and Engineering, MPCE, IEEE Systems, Man, and Cybernetics Magazine, IET Cyber-Physical Systems: Theory & Applications, and Cyber-Physical Energy Systems.