Overview
- Explores energy and sustainability issues throughout the globe
- Provides new models and algorithms for AI applications in energy and sustainability
- Features topics such as smart cities, food production, smart housing, and smart transportation
Part of the book series: Applied Innovation and Technology Management (AITM)
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Table of contents (19 chapters)
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Front Matter
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Sustainability Policies
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Front Matter
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Climate Change
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Front Matter
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Keywords
About this book
Artificial intelligence (AI) has a huge impact on science and technology, including energy, where access to resources has been a source of geopolitical conflicts. AI can predict the demand and supply of renewable energy, optimize efficiency in energy systems, and improve the management of natural energy resources, among other things. This book explores the use of AI tools for improving the management of energy systems and providing sustainability with smart cities, smart facilities, smart buildings, smart transportation, and smart houses. Featuring research from International Federation for Information Processing's (IFIP) “AI in Energy and Sustainability” working group, this book provides new models and algorithms for AI applications in energy and sustainability fields. Any short-term, mid-term and long-term forecasting, optimization models, trend foresights and prescriptions based on scenarios are studied in the energy world and the smart systems for sustainability. The contents of this book are valuable for energy researchers, academics, scholars, practitioners and policy makers.
Editors and Affiliations
About the editors
Gulgun Kayakutlu is Professor in the Department of Energy Planning and Management at the Energy Institute of Istanbul Technical University (Turkey). Before joining the University, she was the founder and General Manager of Sybase Turkey, where she managed several real-time transaction projects in the private sector and many B2B projects in the government sector. She wrote the book Intelligence in Energy (Elsevier, 2017) and co-edited Energy Management—Collective and Computational Intelligence with Theory and Applications (Springer, 2018). Dr. Kayakutlu has published more than fifty articles in SCI and SSCI reviewed journals on energy optimization and intelligence.
M. Özgür Kayalica is a Senior Lecturer in the Energy Institute and Director of the Technological and Economic Development Research Center (TEGAM) at Istanbul Technical University (Turkey). Dr. Kayalica’s research focuses on the microeconomics of environmental economics, energy economics andtrade theory. Dr. Kayalica published books and numerous articles in SCI and SSCI indexed journals.
Bibliographic Information
Book Title: Decision Making Using AI in Energy and Sustainability
Book Subtitle: Methods and Models for Policy and Practice
Editors: Gülgün Kayakutlu, M. Özgür Kayalica
Series Title: Applied Innovation and Technology Management
DOI: https://doi.org/10.1007/978-3-031-38387-8
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-38386-1Published: 17 October 2023
Softcover ISBN: 978-3-031-38389-2Due: 06 January 2024
eBook ISBN: 978-3-031-38387-8Published: 16 October 2023
Series ISSN: 2662-9402
Series E-ISSN: 2662-9410
Edition Number: 1
Number of Pages: XI, 312
Number of Illustrations: 6 b/w illustrations, 77 illustrations in colour
Topics: IT in Business, Artificial Intelligence, Sustainable Development, Energy Policy, Economics and Management