Proceedings of the 2nd Electrical Artificial Intelligence Conference, Volume 3

EAIC 2025, 3-5 November, Nanjing, China
Erscheinungsjahr 2026
ISBN: 978-981-957927-3
Verlag: Springer

Buch, Englisch, Band 1586, 649 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1262 g

Reihe: Lecture Notes in Electrical Engineering

This book is the third volume of proceedings of the 2nd Electrical Artificial Intelligence Conference (EAIC 2025).

Artificial intelligence and low-carbon economy are two vibrant research fields in the world today. To achieve the goal of carbon neutrality not only signifies a significant transformation in the economic growth mode and a profound adjustment of energy systems but also has equally significant implications for the global economic and social transformation. In the wave of the rapid development of digital economy, artificial intelligence has become an important driving force for promoting high-quality economic and social development. In the path to the “dual carbon” goals, which are the “peak carbon dioxide emissions” goal and the “carbon neutrality” goal, artificial intelligence will play an important role, especially in energy conservation and carbon reduction in the electrical field, which is worthy of in-depth exploration and research.

In order to promote the deep integration of the electrical engineering and artificial intelligence, successfully achieve the “dual carbon” goals, and promote green, low-carbon, and high-quality development, the China Electrotechnical Society and relevant units jointly held the 2nd Electrical Artificial Intelligence Conference in Nanjing, China during the November 3–5, 2025. The conference invited well-known experts with significant influence in the fields of electrical engineering and artificial intelligence to jointly explore the application of artificial intelligence in the optimization design, fault diagnosis, intelligent control, and optimized operation of electrical equipment, promote the integration of artificial intelligence innovations and various application scenarios, and actively lead the trend of technological innovation.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Mu, Gang

Song, Zhengxiang

Ding, Zhiming

Han, Li

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Energietechnik & Elektrotechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Energietechnik | Elektrotechnik Energieverteilung, Stromnetze
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

An Improved Safety Assessment Model for Human Exposure to Electromagnetic Fields.- Automatic Restoration of MR Images' Edge Information in Super-resolution.

Über Autor(innen)

Gang Mu is a professor of the Northeast Electric Power University, China. He received his bachelor’s and master’s degrees from Northeast Electric Power University, China, in 1982 and 1984, respectively. He received his doctoral degree from Tsinghua University, China, in 1991. He serves as the fellow of the Chinese Society of Electrical Engineering. He was granted two second prizes of the National Science and Technology Progress Awards of China. His research interests focus on safe operation and control of the new generation power system and large-scale renewable energy development and networking technology.

Zhengxiang Song is a professor of the College of Electrical and Electronic Engineering, Xi'an Jiaotong University, China. He obtained his bachelor’s, master’s, and doctoral degrees from Xi'an Jiaotong University, China, in 1992, 1995, and 1999, respectively. He has served as the executive deputy director of the State Key Laboratory of Energy, China, since 2013, and the executive deputy director of the Engineering Research Center, the Ministry of Education of China, since 2018. His research interests include the theory and engineering of intelligent electrical appliances, the theory and technology of electric energy storage, electromagnetic protection, and equipment detection and fault diagnosis.

Zhiming Ding is a professor of the Institute of Software, Chinese Academy of Sciences. He obtained his bachelor’s degree from Wuhan University, China, in 1989, his master’s degree from Beijing University of Technology, China, in 1996, and his doctoral degree from the Institute of Computing, Chinese Academy of Sciences in 2002. He serves as the director of the Center of Space-Time Data Management and Date Science. He is also the chair of the society transportation sector of the IEEE Intelligent Transportation System Society. His research interests include database and knowledge base systems, real-time processing and intelligent analysis of the big data in spatiotemporal awareness, Internet of Things and mobile data management, disaster emergency big data management, etc.

Li Han is a professor of Institute of Electrical Engineering (IEE), Chinese Academy of Sciences. He received his bachelor’s and master’s degrees from Lanzhou University, China, in 1992 and 1995, respectively. He received his doctoral degree from Tsinghua University, China, in 2000. He serves as the director of the research sector of micro-nano-processing technology of IEE.