Application of Artificial Intelligence in Electrical Power Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".
Deadline for manuscript submissions: 5 December 2025 | Viewed by 341
Special Issue Editors
Interests: power system reliability; voltage control and reactive power planning; intelligent distribution network operation and planning; internet + smart energy; new power systems; artificial intelligence applications in power systems
Special Issue Information
Dear Colleagues,
Electrical power systems are currently confronting multiple challenges, including a high percentage of new energy, source–grid–load–storage coordination, and extreme climate events. Artificial intelligence (AI), as a key enabler to address these challenges, has demonstrated transformative potential across all segments of electrical power systems. With the rapid advancement of emerging AI technologies such as generative large language models (LLMs), federated learning, explainable AI (XAI), and embodied intelligence, large-scale applications will emerge across electrical power system domains, including planning and operation, stability control, asset management, safety and emergency response, etc. These innovations will further enhance the security, reliability, and cost-efficiency of electrical power system operations.
This Special Issue aims to present and disseminate the most recent advances related to the application of artificial intelligence in electrical power systems.
Topics of interest for this publication include, but are not limited to, the following:
- All aspects of AI algorithms and theories for power generation, transformation, distribution, and consumption domains;
- Ultra-short-term load forecasting methods;
- Renewable energy generation forecasting;
- Power system fault diagnosis and defense;
- Robotic intelligent grid inspection;
- Large-scale market clearing algorithms for electricity trading;
- Power supply–demand interaction mechanisms.
Prof. Dr. Yongjun Zhang
Dr. Yingqi Yi
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- electrical power systems
- large language models
- deep learning
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