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Chapter one - Machine learning algorithms used for short-term PV solar irradiation and temperature forecasting at microgrid
Younes Zahraoui, Ibrahim Alhamrouni, ... M. Reyasudin Basir Khan
Pages 1-17 - Book chapterAbstract only
Chapter two - Generators’ revenue augmentation in highly penetrated renewable M2M coordinated power systems
Deepak Yadav, Saad Mekhilef, ... Abdullah Abusorrah
Pages 19-31 - Book chapterAbstract only
Chapter three - Intelligent supervisory energy-based speed control for grid-connected tidal renewable energy system for efficiency maximization
Youcef Belkhier, Mohamed Dahman Alshehri and Rabindra Nath Shaw
Pages 33-55 - Book chapterAbstract only
Chapter four - An intelligent energy management system of hybrid solar/wind/battery power sources integrated in smart DC microgrid for smart university
Youcef Belkhier, Mohamed Dahman Alshehri, ... Ankush Ghosh
Pages 57-88 - Book chapterAbstract only
Chapter five - IoT in renewable energy generation for conservation of energy using artificial intelligence
Anand Singh Rajawat, Kanishk Barhanpurkar, ... Ankush Ghosh
Pages 89-105 - Book chapterAbstract only
Chapter six - Renewable energy system for industrial internet of things model using fusion-AI
Anand Singh Rajawat, Omair Mohammed, ... Ankush Ghosh
Pages 107-128 - Book chapterAbstract only
Chapter seven - Centralized intelligent fault localization approach for renewable energy-based islanded microgrid systems
Ahteshamul Haque, V. S. Bharath Kurukuru, ... Faizah Fayaz
Pages 129-149 - Book chapterAbstract only
Chapter eight - Modeling of electric vehicle charging station using solar photovoltaic system with fuzzy logic controller
Priyaratnam, Anjali Jain, ... Ankush Ghosh
Pages 151-167 - Book chapterAbstract only
Chapter nine - Weather-based solar power generation prediction and anomaly detection
Priyesh Ranjan, Pritam Khan, ... Sudhir Kumar
Pages 169-180 - Book chapterAbstract only
Chapter ten - RMSE and MAPE analysis for short-term solar irradiance, solar energy, and load forecasting using a Recurrent Artificial Neural Network
Nilesh Kumar Rai, D. Saravanan, ... Rabindra Nath Shaw
Pages 181-192 - Book chapterAbstract only
Chapter eleven - Study and comparative analysis of perturb and observe (P&O) and fuzzy logic based PV-MPPT algorithms
Avinash Kumar Pandey, Varsha Singh and Sachin Jain
Pages 193-209 - Book chapterAbstract only
Chapter twelve - Control strategy for design and performance evaluation of hybrid renewable energy system using neural network controller
Ashwani Kumar, Vishnu Mohan Mishra and Rakesh Ranjan
Pages 211-223 - Book chapterNo access
Index
Pages 225-232
About the book
Description
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.
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.
Key Features
- 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
- 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
Details
ISBN
978-0-323-91699-8
Language
English
Published
2022
Copyright
Copyright © 2022 Elsevier Inc. All rights reserved.
Imprint
Academic Press