Energy systems are in transition as part of the Green Transition. Electrification is a significant feature of future energy systems. Traditional fossil fuel-based energy technologies are being replaced by renewable energy and other clean energy technologies, such as wind turbines, PV panels, power to hydrogen, carbon capture, which would significantly change the characteristics of energy systems and present many challenges. On the other hand, Artificial Intelligence (AI) is gaining more and more wide applications. In the field of energy, AI enables smart energy systems.
The speech will brief the status of renewable energy-based energy systems, discuss some new features and describe some AI applications in the renewable energy development in particular, in wind energy. Some recent research work will be briefly introduced.

Dr. Chen is a Professor with the Department of Energy Technology, Aalborg University, Denmark. His main current research interests are wind energy, power electronics, power system and modern energy systems and AI applications in energy system. In these areas, he has led many international and national research projects and has supervised many PhD, Postdoctoral researchers and visiting PhDs/scholars, he has more than 1000 technical publications.
Dr. Chen is a member of editorial boards for many international journals, including Associate Editor of the IEEE Transactions on Power Electronics, IET Renewable Power Generation, etc. He is a Fellow of IET, a Chartered Engineer in the U.K., a Fellow of IEEE and a member of the Danish Academy of Technical Sciences.

Zheng Fang is a full Professor in the Faculty of Robot Science and Engineering, Northeastern University, China. He received his B.S.degree in Automation and Ph.D. degree in Pattern Recognition and Intelligent Systems from Northeastern University, China, and did his Post-Doctoral Research in Robotics at Robotics Institute of Carnegie Mellon University (CMU), USA. His research focuses on perception and autonomous navigation of mobile robots using various sensors, including vision, LiDAR, Radar, etc. He dedicates to improving the intelligence of autonomous unmanned systems. He has published over 80 papers in well-known journals or conferences in robotics and artificial intelligence, including IEEE Transactions (TMM, TIV, TPAMI, TITS, TVT, TIM, etc), Journal of Field Robotics (JFR), IEEE Robotics and Automation Letters (RA-L), IEEE International Conference on Robotics and Automation (ICRA), IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).