Overview
- Includes recent research on Artificial Intelligence in Renewable Energetic Systems
- Features the proceedings of the 6th International Conference on Artificial Intelligence in Renewable Energetic Systems
- Written by experts in the field
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 591)
Included in the following conference series:
Conference proceedings info: IC-AIRES 2022.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
In this book, one hundred selected articles, in which the technology and science elite share, contribute to technology development, collaborate and evolve the latest cutting-edge technologies, open ecosystem resources, new innovative computing solutions, hands-on labs and tutorials, networking and community building, to ensure better integration of artificial intelligence into renewable energy systems. Innovation in computing continues at a growing pace. The key to success in this area is not only hardware, but also the ability to leverage rapid advances in artificial intelligence (including machine learning and deep learning), data analytics, data streaming, and cloud computing, which go hand in hand with intensive research activity on the underlying computational methods. The chapters in this book are organized into thematic sections on: advanced computing techniques; artificial intelligence; smart and sustainable cities; renewable energy systems; materials in renewable energy; smart energy efficiency; smart cities applications: recent developments and new trends; online, supervision of renewable energy platforms; predictive control in renewable systems; smart embedded systems for photovoltaic applications.
Similar content being viewed by others
Keywords
Table of contents (85 papers)
-
Advanced Computational Techniques
-
Sensing and Communication in Renewable Energy
Other volumes
-
Advanced Computational Techniques for Renewable Energy Systems
Editors and Affiliations
Bibliographic Information
Book Title: Advanced Computational Techniques for Renewable Energy Systems
Editors: Mustapha Hatti
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-031-21216-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-21215-4Published: 15 February 2023
eBook ISBN: 978-3-031-21216-1Published: 13 February 2023
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XV, 836
Number of Illustrations: 115 b/w illustrations, 526 illustrations in colour
Topics: Computational Intelligence, Energy Policy, Economics and Management, Renewable and Green Energy, Artificial Intelligence