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"Artificial Intelligence for Energy Systems: Driving Intelligent, Flexible and Optimal Energy Management" by Elissaios Sarmas, Vangelis Marinakis, and Haris Doukas is a 2025 publication that focuses on developing an integrated library of AI learning models and mathematical optimization techniques aimed at improving decision-making in the energy and building sectors. The book targets real-world problems categorized into three main areas:
Distributed Energy Generation
Microgrid Flexibility
Building Energy Efficiency
It presents advanced algorithmic solutions by analyzing fundamental parameters and interactions within these applications to support intelligent, flexible, and optimal energy management. This involves leveraging AI to enhance energy efficiency, system resilience, and flexibility.
The book is intended for researchers, engineers, scientists, professors, and students working in energy-related disciplines, and also benefits readers from adjacent fields interested in AI’s role in sustainable energy systems.
With about 286 pages, it provides cutting-edge models and tools that address challenges in modern energy systems through AI-driven analytics and optimization techniques, helping to bridge scientific gaps in this emerging area of research.
It presents advanced algorithmic solutions by analyzing fundamental parameters and interactions within these applications to support intelligent, flexible, and optimal energy management. This involves leveraging AI to enhance energy efficiency, system resilience, and flexibility.
The book is intended for researchers, engineers, scientists, professors, and students working in energy-related disciplines, and also benefits readers from adjacent fields interested in AI’s role in sustainable energy systems.
With about 286 pages, it provides cutting-edge models and tools that address challenges in modern energy systems through AI-driven analytics and optimization techniques, helping to bridge scientific gaps in this emerging area of research.
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