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).

Dr. Shehzad Ashraf Chaudhry is working as an Associate Professor of Cybersecurity Engineering in College of Engineering, Department of Computer Science and Information Technology, Abu Dhabi University, United Arab Emirates. He is also holding a position of Associate Professor in Faculty of Engineering and Architecture, Department of Software Engineering, Nisantasi University, Istanbul, Turkey. Dr. Shehzad received the master’s and Ph.D. degrees (with Distinction) from International Islamic University Islamabad, Pakistan, in 2009 and 2016, respectively. He was a recipient of the Gold Medal for achieving 4.0/4.0 CGPA in his Masters. Prior to joining ADU he served as an Associate Professor with Istanbul Gelisim University, Istanbul, Turkey, University of Sialkot, Pakistan and as an Assistant Professor with International Islamic University, Islamabad, Pakistan.

He has authored over 170 scientific publications appeared in different international journals and proceedings, including more than 140 publications in web of science journals. Some of his findings are published in top rated prestigious journals and conferences including IEEE Communications Standards Magazine, IEEE Transactions on Industrial Informatics, IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Industry Applications, IEEE Transactions on Reliability, ACM Transactions on Internet Technology, Sustainable Cities and Society (Elsevier), FGCS, IJEPES, Computer Networks, Computer Communications, and Digital Communications and Networks.

With an H-index of 48, an I-10 index 117, and accumulate impact factor of more than 480, his work has been cited over 6600 times. He has also supervised over 40 graduate students in their research. His current research interests include lightweight cryptography, elliptic/hyper elliptic curve cryptography, multimedia security, E-payment systems, MANETs, SIP authentication, smart grid security, IP multimedia subsystem, and next generation networks. He delivered several keynote speeches and holds best research paper award for his presented paper “RapidAuth: Fast Authentication for Sustainable IoT” in EAI FoNeS-IoT 2020 held at Antalya Bilim University, Antalya, Turkey. Considering his research, Pakistan Council for Science and Technology granted him the Prestigious Research Productivity Award, while affirming him among Top Productive Computer Scientist in Pakistan. For the consecutive four years (i.e., 2020 to 2023), he is being listed among the top 2% computer scientists across the world in Stanford University’s report.