Recent Advances in AI-Assisted Power Systems

Dear Colleagues,

Power systems are undergoing significant transformations driven by the integration of renewable energy sources, distributed generation, and smart grid technologies. These changes introduce unprecedented complexity and operational challenges that traditional analytical methods struggle to address effectively. Artificial intelligence (AI) technologies have emerged as powerful tools for managing these complexities, offering innovative solutions for optimization, forecasting, control, and decision-making in modern power systems. Recent advancements in machine learning, deep learning, and computational intelligence have demonstrated significant potential to enhance power system reliability, efficiency, and sustainability while facilitating the transition toward cleaner energy infrastructures.

This Special Issue, titled “Recent Advances in AI-Assisted Power Systems”, seeks high-quality studies focusing on novel applications and theoretical developments of AI in power systems. Topics include, but are not limited to, the following:

• Machine learning for power system stability, security assessment, and control.
• AI-driven forecasting for renewable energy generation and load demand.
• Deep learning applications for fault detection and predictive maintenance.
• Reinforcement learning for energy management and market operations.
• Neural networks for power quality monitoring and improvement.
• AI techniques for smart grid optimization and distributed energy resources integration.

We look forward to receiving your contributions.

Dr. Ahmed Al-Masri
Prof. Dr. Tian Li
Guest Editors

Manuscript Submission Information

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