At the forefront of technological innovation and scholarly discourse, the Journal of Electrical Systems (JES) is a peer-reviewed publication dedicated to advancing the understanding and application of electrical systems, communication systems and information science. With a commitment to excellence, we provide a platform for researchers, academics, and professionals to contribute to the ever-evolving field of electrical engineering, communication technology and Information Systems.
The mission of JES is to foster the exchange of knowledge and ideas in electrical and communication systems, promoting cutting-edge research and facilitating discussions that drive progress in the field. We aim to be a beacon for those seeking to explore, challenge, and revolutionize the way we harness, distribute, and utilize electrical energy and information systems.

Peer-Reviewed Excellence:
At JES, we adhere to the highest standards of academic rigor. Every submission undergoes a thorough double-blind peer-review process, ensuring that only the most innovative and well-founded research reaches our readership. Our esteemed editorial board comprises experts from diverse areas of electrical and software engineering, guaranteeing a comprehensive evaluation of each manuscript.

Scope of Publications:
JES covers a broad spectrum of topics within electrical systems, including but not limited to:

  • Power Systems and Smart Grids
  • Renewable Energy
  • Communication Systems
  • Image communication systems
  • Control Systems
  • Electronics and Communication
  • Signal Processing
  • Information Technology
  • Artificial Intelligence in Electrical and Communication Engineering
  • Internet of Things (IoT) in Electrical Systems
  • Electric Vehicles and Transportation
  • Robotics and Automation

Vol. 20 No. 3 (2024)

Published: 2024-04-25

Character Data Mining in Educational Scene

Xuemei Shi, Xiaoyan Li, Xiedong Song, Dalei Zhang (Author)

57-63

Research on Fault Diagnosis Algorithm of Power Cable Based on Deep Learning

Kai Wu, Xing Huang, Binbin Yang, Shen Fan, Zhuangzhuang Wang, Liangliang Sun, Haibo Fan, Qiping Zhou (Author)

333-343

Fire Risk Assessment Method of Energy Storage Power Station Based on Cloud Model

Mingwei Xu, Ran Li, Haifei Yao, Zhiqiang Hou, Yutong Liu, Chao Dai, Ruiqi Wang, Guanlin Liu, hangxue Yang, Yage Li (Author)

395-401

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