Special Session 8 - Pioneering Next-Generation of Power Technologies

The power industry is undergoing a significant change with new developments aimed at moving towards more effective, smaller, sustainable and intelligent power systems. As we move into the era of next-generation power systems, the integration of Artificial Intelligence (AI) is proving to be an essential tool. AI technology is improving the performance of power systems in different areas including hardware design, system reliability, energy management, fault detection, and optimal control.

Important Date:
Submission deadline: 2024.06.15
Notification deadline: 2024.07.05

Topics of Interest: We invite original, high-quality submissions on topics including but not limited to:

1. AI-driven design and autonomous hardware optimization
2. Enhancing system reliability and resilience through AI
3. AI in energy management systems
4. Fault detection and preventive strategies using AI
5. AI applications in optimal control of power systems
6. Real-time operation and maintenance of power systems using AI
7. Machine learning models for predictive maintenance
8. Deep learning techniques for grid modernization
9. Case studies and real-world applications of AI in the power sector

Submission Guidelines: Authors are encouraged to submit full papers presenting new research related to the topics mentioned above. Submissions should be original work not previously published or currently under review by other conferences or journals. Papers should adhere to the specified formatting guidelines and be submitted through the conference's submission system.

Organizer:
Qiang Yang, College of Electrical Engineering, Zhejiang University, qyang@zju.edu.cn
Ruisheng Diao, ZJU-UIUC Institute, Zhejiang University, ruishengdiao@intl.zju.edu.cn
Quan Zhou，College of Electrical and Information Engineering, Hunan University，zquan@hnu.edu.cn
Weihao Hu, School of Mechanical and Electrical Enineering,University of Electronic Science and Technology, China,whu@uestc.edu.cn
Lijun Hang, College of Automation, Hangzhou Dianzi University, China,ljhang@hdu.edu.cn