Mechanism Research and Artificial Intelligence for the Monitoring and Evaluation of Electrical Equipment in Smart Grids and Electrified Transportation

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Engineering and Materials".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 376

Special Issue Editors


E-Mail Website
Guest Editor
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Interests: high voltage; durability and health management of electrical equipment; big data and artificial intelligence and their applications

E-Mail Website
Guest Editor
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Interests: high voltage; smart grid

E-Mail Website
Guest Editor
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Interests: fault diagnosis; high voltage; insulation technology

Special Issue Information

Dear Colleagues,

Smart grids and electrified transportation are important areas for attempts to significantly reduce fossil fuel-based energy production and, in so doing, protect the environment. Electrical equipment is an important part of smart grids and electrified transportation and, should important electrical equipment fail, this can lead to large-scale power outages and traffic disruption, resulting in enormous economic losses and accidental damage or injury. Therefore, proper performance evaluation of the electrical equipment used in smart grids and electrified transportation has come to be of great social significance. The booming development of artificial intelligence and symmetry theory, combined with mechanism research, will help researchers develop new technologies for the monitoring and evaluation of electrical equipment, thereby improving the economy and safety of smart grids and electrified transportation.

Dr. Kui Chen
Dr. Yujun Guo
Dr. Kai Liu
Guest Editors

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Keywords

  • smart grids
  • new energy
  • energy storage
  • electrified transportation
  • electrical equipment
  • artificial intelligence
  • mechanism research
  • symmetry theory
  • insulation performance
  • state evaluation

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