The Implementation of Artificial Intelligence in Energy Internet and Smart Grid Digitization
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".
Deadline for manuscript submissions: 15 August 2025 | Viewed by 116
Special Issue Editors
Interests: optimal operation scheduling of the electric power system; smart monitoring and control systems for microgrids and virtual power plants; electric market for distributed generations and energy storage units
Interests: artificial intelligence technologies and their implementations in electric automation systems
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is the key impetus for the advancement of Energy Internet and Smart Grid Digitization; it has been widely implemented in numerous areas, such as the intelligent prediction of load profiles and renewable energy generation, optimal system planning and operation scheduling, fault detection and diagnostics, digital twins, big models for electric power systems, etc. This Special Issue aims to present and disseminate state-of-the-art theories, designs, modelling, and applications of these technologies in the scope of Energy Internet and Smart Grid Digitization.
Topics of interest include, but are not limited to, the following:
- Intelligent prediction of loads and renewable energies;
- Optimal planning of electric power systems, distributed renewable generation, and energy storage units;
- Optimal operation control for power systems, virtual power plants, and the demand side;
- The implementation of artificial intelligence in integrated energy systems;
- The implementation of artificial intelligence in energy marketing;
- Digital twins and big models for electric power systems.
Dr. Yingshu Liu
Dr. Xi Chen
Dr. Haibo Pen
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence (AI)
- energy internet
- smart grid digitization
- integrated energy system
- intelligent prediction
- optimal scheduling
- energy market
- digital twins
- big model
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