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Elsevier
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Elsevier Sustainable Energy and AI Book Series

Aim & scope

The Elsevier Sustainable Energy and AI Book Series explores one of the most dynamic areas in modern science – the intersection of artificial intelligence and sustainable energy. The Series examines how AI can drive energy efficiency, decarbonization, and sustainability across the energy sector, analyzing the benefits, limitations, and future directions of different approaches and technologies.

Volumes in the Series demonstrate how AI can improve design, optimization, and deployment strategies for renewable energy systems, with applications in solar energy, heat exchanger performance, energy storage, cybersecurity, and decentralized energy networks. The Series addresses foundational concepts, integration strategies, financial and policy implications, and emerging trends shaping the global energy transition.

Central questions explored in this Series include:

  • How can artificial intelligence drive greater sustainability, reliability, and efficiency in renewable energy systems?

  • What are the energy demands and environmental implications of AI technologies themselves, and how can these challenges be mitigated within sustainable energy frameworks?

  • In what ways can AI address technical and economic barriers to large-scale energy storage, demand-side management, and sectoral decarbonization?

  • How can AI and machine learning enable predictive maintenance, optimize energy consumption, and enhance grid stability across interconnected systems?

  • Who is responsible for governing and regulating AI in the energy sector—policymakers, developers, or the systems themselves—and what are the ethical, social, and policy implications of these emerging dynamics?

If you are interested in writing or editing a book for the Elsevier Sustainable Energy and AI Book Series, or in becoming involved in the review of book proposals, please contact Edward Payne, Senior Acquisitions Editor ([email protected]), or Dr. Zafar Said, Series Editor ([email protected]), and we will be delighted to hear from you.

To find out more about the Elsevier Energy Books Team, click here.

Audience

This Series is intended for a broad spectrum of readers and professionals involved in the energy and AI sectors, including:

  • Researchers, graduate and postgraduate students, and academics in sustainable and renewable energy, artificial intelligence, and related engineering fields.

  • Engineers, project managers, and industry professionals working on the design, optimization, and deployment of energy systems.

  • Policy makers, regulatory authorities, and consultants involved in energy transition, sustainability planning, and AI governance.

  • Investors, entrepreneurs, and business leaders seeking insight into technological and economic opportunities at the intersection of AI and sustainable energy.

The Series serves as a valuable resource for those aiming to understand, develop, and apply AI-driven strategies that shape the future of global energy sustainability.

Series Editor

Headshot photo of Dr. Zafar Said

Dr. Zafar Said

Distinguished Associate Professor

Department of Mechanical and Aerospace Engineering, United Arab Emirates University

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