Cover for Applications of AI and IOT in Renewable Energy

Applications of AI and IOT in Renewable Energy

Book2022

Edited by:

Rabindra Nath Shaw, Ankush Ghosh, ... Valentina Emilia Balas

Applications of AI and IOT in Renewable Energy

Book2022

 

Cover for Applications of AI and IOT in Renewable Energy

Edited by:

Rabindra Nath Shaw, Ankush Ghosh, ... Valentina Emilia Balas

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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 energ ... read full description

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  2. Book chapterAbstract only

    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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. Book chapterAbstract only

    Chapter nine - Weather-based solar power generation prediction and anomaly detection

    Priyesh Ranjan, Pritam Khan, ... Sudhir Kumar

    Pages 169-180

  11. 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

  12. 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

  13. 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

  14. 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

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Editors

Rabindra Nath Shaw

Department of International Relations, Bharath Institute of Higher Education and Research (Deemed to be University), Chennai, India

Ankush Ghosh

School of Engineering and Applied Sciences, The Neotia University, Kolkata, India

Saad Mekhilef

Swinburne University of Technology, Hawthorn, VIC, Australia

Valentina Emilia Balas

Department of Automatics and Applied Software, Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania