Guest Editor(s)
Assist. Prof. Touqeer Ahmed Jumani
Email: touqeer.ahmed@asu.edu.om
Affiliation: Department of Electrical Engineering and Computer Science, A'Sharqiyah University, Ibra 400, Oman
Homepage:
Research Interests: swarm intelligence, microgrid controls, meta-heuristic techniques, machine learning based classification methods, evolutionary algorithms
Assoc. Prof. Muhammad Rafique Naich
Email: rafique@hit.edu.cn
Affiliation: Harbin Institute of Technology, Harbin, China
Homepage:
Research Interests: carbon capture and conversion, hydrogen storage, 2D materials, optimization, machine learning based classification, power system operation and control
Summary
The global transition toward sustainable, resilient, and intelligent energy systems has accelerated the adoption of Artificial Intelligence (AI) across all aspects of energy engineering. The increasing penetration of renewable energy resources, distributed energy systems, electric vehicles, energy storage technologies, and smart grids has introduced unprecedented operational complexity, creating a strong demand for intelligent, data-driven, and autonomous solutions. AI techniques—including machine learning, deep learning, reinforcement learning, computational intelligence, and hybrid optimization algorithms—are playing a transformative role in enhancing the efficiency, reliability, security, and sustainability of modern energy systems. These technologies enable advanced forecasting, real-time monitoring, predictive maintenance, optimal energy management, intelligent control, and informed decision-making, thereby supporting the digital transformation of the energy sector.
This Special Issue aims to provide a platform for researchers, engineers, and industry practitioners to present recent advances, emerging methodologies, and practical applications of AI in smart and sustainable energy systems. Original research articles, comprehensive reviews, and case studies that contribute to the development of innovative AI-enabled solutions for energy engineering are highly encouraged.
Potential topics include, but are not limited to:
· AI and machine learning applications in power and energy systems
· Intelligent optimization techniques for energy management
· Smart grid monitoring, protection, and control
· Renewable energy forecasting and integration
· Microgrid and virtual power plant optimization
· Intelligent energy storage management
· AI-enabled demand response and demand-side management
· Electric vehicle charging optimization and vehicle-to-grid technologies
· Digital twins and cyber-physical systems for energy applications
· Predictive maintenance and fault diagnosis in energy infrastructure
· Explainable AI, trustworthy AI, and AI ethics in energy systems
· Big data analytics, IoT, and edge computing for smart energy
· Energy cybersecurity using AI techniques
· Multi-objective optimization and computational intelligence for sustainable energy systems
· AI applications in power electronics and intelligent control systems
We welcome high-quality contributions that advance the integration of AI into energy engineering and foster the development of intelligent, efficient, resilient, and sustainable energy systems for the future.
Keywords
artificial intelligence, machine learning, smart energy systems, sustainable energy, smart grids, renewable energy integration, energy management systems, intelligent optimization, electric vehicles, energy storage systems, intelligent control systems
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