AI-Powered Energy Optimization for Data Centers :: Special Issue

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Special Issue

AI-Powered Energy Optimization for Data Centers

Submission Deadline: 31 December 2026
Status: Open for Submission
Lead Guest Editor: Elkhatib Kamal

About This Special Issue

Data centers are critical infrastructure supporting the digital economy, but they are also among the largest consumers of electrical energy in modern societies. As the demand for cloud computing, big data, and high-performance computing continues to grow, optimizing energy consumption in data centers has become a crucial challenge. AI-powered techniques, including machine learning, predictive analytics, and intelligent control systems, offer significant potential to improve energy efficiency, reduce operational costs, and minimize the environmental footprint of data centers.

The primary goal of this Special Issue is to provide a platform for high-quality research and reviews that advance the design, implementation, and application of AI-driven energy optimization strategies in data centers. We invite contributions that explore innovative solutions for energy-efficient operation, workload scheduling, cooling management, renewable energy integration, and predictive maintenance, with a focus on sustainable and intelligent energy management.

We welcome original research articles, review articles, and case studies. Through this Special Issue, we aim to highlight cutting-edge research, promote interdisciplinary collaboration, and provide practical insights that contribute to reducing energy consumption and carbon emissions in data centers. Researchers from diverse disciplines, including electrical engineering, computer science, energy systems, and environmental engineering, are encouraged to contribute.

Potential topics include, but are not limited to:

AI-based energy management and optimization in data centers
Machine learning for predictive workload scheduling and resource allocation
Intelligent cooling and thermal management systems
Integration of renewable energy sources and storage systems
Energy-efficient hardware and infrastructure design
Case studies and industrial applications of AI in data centers

Lead Guest Editor

Elkhatib Kamal

Electrical and Industrial Electronics Engineering, University of Nantes, Nantes, France

Guest Editors

Reza Ghorbani

Renewable Energy Design Laboratory, Mechanical Engineering, University of Hawaii at Manoa, Manoa, United States
Abdelouhab Aitouche

Automotive Engineering and Transportation Engineering, University of Sciences and Technology of Lille, Lille, France
Behnam Mohammadi-Ivatloo

Energy Systems, LUT University, Lappeenranta, Finland
Ahmed Ragab

Lead AI Scientist, Natural Resources Canada – CanmetENERGY, Polytechnique Montreal, Montreal, Canada
Mohan Dolatabadi

Optimization and Mathematical Modeling, University of Salerno, Fisciano, Italy
Mohamed Kouki

Mechanical Engineering and Industrial Engineering, National Engineering School of Tarbes – ENIT, Tarbes, France

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American Journal of Electrical Power and Energy Systems

AI-Powered Energy Optimization for Data Centers