Overview
- Uses examples and applications to facilitate the understanding of AI techniques for scalable energy transitions
- Includes examples, problems, and techniques in order to increase transparency and understanding of the methodological concepts
- Dedicated to researchers, practitioners, and operators working with industrial systems
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
Similar content being viewed by others
Keywords
Table of contents (13 chapters)
-
Artificial Intelligence for Smart Energy Management
-
Artificial Intelligence for Reliable Smart Power Systems
-
Artificial Intelligence for Control of Smart Appliances and Power Systems
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Artificial Intelligence Techniques for a Scalable Energy Transition
Book Subtitle: Advanced Methods, Digital Technologies, Decision Support Tools, and Applications
Editors: Moamar Sayed-Mouchaweh
DOI: https://doi.org/10.1007/978-3-030-42726-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-42725-2Published: 20 June 2020
Softcover ISBN: 978-3-030-42728-3Published: 21 June 2021
eBook ISBN: 978-3-030-42726-9Published: 19 June 2020
Edition Number: 1
Number of Pages: IX, 382
Number of Illustrations: 26 b/w illustrations, 120 illustrations in colour
Topics: Communications Engineering, Networks, Computational Intelligence, Artificial Intelligence, Data Mining and Knowledge Discovery, Big Data/Analytics