Applications of AI and IoT in renewable energy

• Titel: Applications of AI and IoT in renewable energy
• Mitwirkende: Shaw, Rabindra Nath [HerausgeberIn]
• Mitwirkende: Ghosh, Ankush [HerausgeberIn]
• Mitwirkende: Balas, Valentina Emilia [HerausgeberIn]
• Verf.angabe: edited by Rabindra Nath Shaw, Ankush Ghosh, Saad Mekhilef, Valentina Emilia Balas
• Verlagsort: London, United Kingdom ; San Diego, CA, United States ; Cambridge, MA, United States ; Kidlington, Oxford, United Kingdom
• Verlag: Elsevier, Academic Press, an Imprint of Elsevier
• E-Jahr: 2022
• Jahr: [2022]
• Umfang: 1 online resource
• Fussnoten: Includes bibliographical references and index. - Online resource; title from PDF title page (ScienceDirect platform, viewed May 16, 2022)
• ISBN: 978-0-323-98401-0
• ISBN: 0-323-98401-0
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Sach-SW: Intelligence artificielle ; Applications industrielles
• Sach-SW: Internet des objets ; Applications industrielles
• Sach-SW: Énergies renouvelables
• Sach-SW: Artificial intelligence ; Industrial applications
• Sach-SW: Renewable energy sources
• K10plus-PPN: 1892763893
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m454447356X
• Lokale URL Inst.: Zum Volltext

Abstract

Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems. Includes future applications of AI and IOT in renewable energy Based on case studies to give each chapter real-life context Provides advances in renewable energy using AI and IOT with technical detail and data.