Artificial Intelligence Technologies for Electric Power Systems

Submission Deadline: 31 December 2019 IEEE Access invites manuscript submissions in the area of Artificial Intelligence Technologies for Electric Power Systems. As the main energy supply system and the most complicated artificial system, the electric power system is undergoing revolutionary changes, including high-penetration renewable energy resources, complicated networks with tremendous data communications, and numerous power devices with the feature of bi-directional energy flow. Developing an intelligent power and energy system is becoming more and more urgent to promote the power production and consumption revolution and construct a clean, low-carbon, safe, and efficient energy system. Currently, artificial intelligence, as a newly developed scientific technology used to imitate, stretch, and extend the theory, method, technology, and application of human intelligence, is providing a great support for promoting the intelligence revolution of power and energy system. Artificial intelligence technology with attractive features such as deep learning, cross-border integration, man-machine cooperation, open group intelligence, and autonomous control shows the strong handling capacity in perceptual intelligence, computational intelligence, and cognitive intelligence, which shows great potential in reshaping the way of producing and utilizing the electrical energy. In particular, the combination of artificial intelligence with cloud computing, big data, internet of things (IoT), and mobile interconnection can endow the power system with features of intelligent interaction, safety, and controllability. Thus, the security, reliability, and flexibility of the power grid can be significantly improved. The revolution of the power and energy system can be highly sped up. The goal of this Special Section in IEEE Access is to welcome the latest research in the area of Artificial Intelligence Technologies for Electric Power Systems. Reviews, surveys and traditional research articles are welcome to submit to this Special Section. The topics of interest include, but are not limited to:
  • Image recognition technology and its application in power system security management
  • Intelligent optimization and its application in power system planning, market trade, and dispatch
  • Intelligent electric power equipment
  • Big-data-based intelligent prediction and assistant decision-making
  • Intelligence integration of renewable energy resources
  • Artificial-intelligence-based power management and consumption
  • Application of artificial intelligence in power system security and stability
  • Artificial-intelligence-based power equipment maintenance plan
We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.   Associate Editor:  Canbing Li, Hunan University, China Guest Editors:
  1. Hui Liu, Guangxi University, China
  2. Long Zhou, Guangdong Power Grid Co., Ltd, China
  3. Sheng Huang, Technical University of Denmark, Denmark
  4. Mingjian Cui, Southern Methodist University, USA
  5. Wuhui Chen, Jiangsu University, China
  6. Cong Zhang, Hunan University, China
  7. Jin Ma, The University of Sydney, Australia
  Relevant IEEE Access Special Sections:
  1. Software Defined Networks for Energy Internet and Smart Grid Communications
  2. Artificial Intelligence and Cognitive Computing for Communications and Networks
  3. AI-Driven Big Data Processing: Theory, Methodology, and Applications
IEEE Access Editor-in-Chief:  Prof. Derek Abbott, University of Adelaide Paper submission: Contact Associate Editor and submit manuscript to: For inquiries regarding this Special Section, please contact: