Applications of AI and IOT in Renewable Energy

Applications of AI and IOT in Renewable Energy

1st Edition - February 9, 2022

Write a review

  • Editors: Rabindra Nath Shaw, Ankush Ghosh, Saad Mekhilef, Valentina Emilia Balas
  • Paperback ISBN: 9780323916998
  • eBook ISBN: 9780323984010

Purchase options

Purchase options
DRM-free (PDF, EPub)
Sales tax will be calculated at check-out

Institutional Subscription

Free Global Shipping
No minimum order


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 The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles.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


Academician and industry engineer working in Renewable and Sustainable energy, AI and IOT. Post Graduate students researching AI, IOT and Renewable energy or want to develop some projects or new application

Table of Contents

  • Cover image
  • Title page
  • Table of Contents
  • Copyright
  • List of contributors
  • Chapter one. Machine learning algorithms used for short-term PV solar irradiation and temperature forecasting at microgrid
  • Abstract
  • 1.1 Introduction
  • 1.2 Proposed work
  • 1.3 Simulation results and comparison
  • 1.4 Conclusion
  • References
  • Chapter two. Generators’ revenue augmentation in highly penetrated renewable M2M coordinated power systems
  • Abstract
  • 2.1 Introduction
  • 2.2 Problem formulation
  • 2.3 Algorithm
  • 2.4 Interior-point technique and KKT condition
  • 2.5 Test results and discussion
  • 2.6 Conclusion
  • References
  • Chapter three. Intelligent supervisory energy-based speed control for grid-connected tidal renewable energy system for efficiency maximization
  • Abstract
  • 3.1 Introduction
  • 3.2 Marine current conversion system modeling
  • 3.3 Control of the permanent magnet synchronous generator using passivity method
  • 3.4 Passivity-based speed controller computation
  • 3.5 Grid-side converter control
  • 3.6 Simulation and experimental results
  • 3.7 Conclusion
  • References
  • Chapter four. An intelligent energy management system of hybrid solar/wind/battery power sources integrated in smart DC microgrid for smart university
  • Abstract
  • 4.1 Introduction
  • 4.2 Mathematical description of the hybrid energy system
  • 4.3 Mathematical description of the hybrid energy system
  • 4.4 Numerical results
  • 4.5 Conclusion
  • References
  • Further reading
  • Chapter five. IoT in renewable energy generation for conservation of energy using artificial intelligence
  • Abstract
  • 5.1 Introduction
  • 5.2 Related work
  • 5.3 Proposed methodology
  • 5.4 Deep Q-learning
  • 5.5 Results analysis and discussion
  • 5.6 Conclusion and future work
  • References
  • Chapter six. Renewable energy system for industrial internet of things model using fusion-AI
  • Abstract
  • 6.1 Introduction
  • 6.2 Related work
  • 6.3 Internet of things in renewable energy sector
  • 6.4 Proposed methodology
  • 6.5 Renewable energy system for industrial internet of things model
  • 6.6 Results analysis
  • 6.7 Conclusion
  • Reference
  • Chapter seven. Centralized intelligent fault localization approach for renewable energy-based islanded microgrid systems
  • Abstract
  • 7.1 Introduction
  • 7.2 Challenges in disturbance detection
  • 7.3 Requirements for classifier development
  • 7.4 Centralized fault localization method
  • 7.5 Numerical simulations
  • 7.6 Conclusion
  • References
  • Chapter eight. Modeling of electric vehicle charging station using solar photovoltaic system with fuzzy logic controller
  • Abstract
  • 8.1 Introduction
  • 8.2 Components of charging station
  • 8.3 Control systems strategies
  • 8.4 Simulation and result
  • 8.5 Conclusion
  • References
  • Chapter nine. Weather-based solar power generation prediction and anomaly detection
  • Abstract
  • 9.1 Introduction
  • 9.2 Prediction of solar power generation
  • 9.3 Experiments and results
  • 9.4 Conclusion and future work
  • References
  • Chapter ten. RMSE and MAPE analysis for short-term solar irradiance, solar energy, and load forecasting using a Recurrent Artificial Neural Network
  • Abstract
  • 10.1 Introduction
  • 10.2 Literature survey
  • 10.3 Prediction methodology
  • 10.4 Artificial Neural Network
  • 10.5 Data description
  • 10.6 Key performance indicator
  • 10.7 Results and discussion
  • 10.8 Conclusions
  • References
  • Chapter eleven. Study and comparative analysis of perturb and observe (P&O) and fuzzy logic based PV-MPPT algorithms
  • Abstract
  • 11.1 Introduction
  • 11.2 Photovoltaic system
  • 11.3 Maximum power point tracking system
  • 11.4 Simulation results and discussion
  • 11.5 Conclusion
  • References
  • Chapter twelve. Control strategy for design and performance evaluation of hybrid renewable energy system using neural network controller
  • Abstract
  • 12.1 Introduction
  • 12.2 Modeling of hybrid power system
  • 12.3 Control strategy
  • 12.4 Proportional-integral-derivative control and performance index
  • 12.5 Simulation results and discussion
  • 12.6 Conclusıons
  • References
  • Index

Product details

  • No. of pages: 246
  • Language: English
  • Copyright: © Academic Press 2022
  • Published: February 9, 2022
  • Imprint: Academic Press
  • Paperback ISBN: 9780323916998
  • eBook ISBN: 9780323984010

About the Editors

Rabindra Nath Shaw

Rabindra Nath Shaw is a Senior Member of IEEE (USA), currently holding the post of Director, International Relations, Galgotias University India. He is an alumnus of the applied physics department, University of Calcutta, India. . He has more than eleven years teaching experience in leading institutes like Motilal Nehru National Institute of Technology Allahabad, India, Jadavpur University and others in UG and PG level. He has successfully organised more than fifteen International conferences as Conference Chair, Publication Chair and Editor. He has published more than fifty Scopus/ WoS/ ISI indexed research papers in International Journals and conference Proceedings. He is the editor of several Springer and Elsevier books. His primary area of research is optimization algorithms and machine learning techniques for power system, IoT Application, Renewable Energy, and power Electronics converters. He also worked as University Examination Coordinator, University MOOC’s Coordinator, University Conference Coordinator and Faculty- In Charge, Centre of Excellence for Power Engineering and Clean Energy Integration.

Affiliations and Expertise

Facutly Member, Department of Electrical Engineering, Galgotias University, India

Ankush Ghosh

Ankush Ghosh is presently working as Associate Professor in the School of Engineering and Applied Sciences, The Neotia University, India. He has more than 15 years of experience in Teaching, research as well as industry. He has outstanding research experiences and published more than 80 research papers in International Journal and Conferences. He was a research fellow of the Advanced Technology Cell- DRDO, Govt. of India. He was awarded National Scholarship by HRD, Govt. of India. He received his Ph.D. (Engg.) Degree from Jadavpur University in 2010. His UG and PG teaching assignments include Microprocessor and microcontroller, AI, IOT, Embedded and real time systems etc. He has delivered Invited lecture in a number of international seminar/conferences, refreshers courses, and FDPs. He has guided a large number of M.Tech and Ph.D. students. He is Editorial Board Member of several International Journals.

Affiliations and Expertise

Assistant Professor, Department of Robotics Engineering, Neotia University, India

Saad Mekhilef

Saad Mekhilef received the B.Eng. degree in Electrical Engineering from the University of Setif in 1995, and the M.Eng.Sc. and Ph.D. Degrees in Electrical Engineering from the University of Malaya in 1998 and 2003, respectively. He is currently a Professor in the Department of Electrical Engineering at the University of Malaya and has been actively involved in industrial consultancy for major corporations in the power electronics projects. He is the author and co-author of more than 100 publications in international journals and proceedings. His research interest includes power conversion techniques, control of power converters, renewable energy, and energy efficiency.

Affiliations and Expertise

Professor, Department of Electrical Engineering, University of Malaya, Malaysia

Valentina Emilia Balas

Dr. Valentina Emilia Balas is currently a Full Professor at the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a PhD cum laude in applied electronics and telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers in refereed journals and for international conferences. Her research interests cover intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, modeling, and simulation. She is the Editor-in-Chief of the 'International Journal of Advanced Intelligence Paradigms' and the 'International Journal of Computational Systems Engineering', an editorial board member for several other national and international publications, as well as an expert evaluator for national and international projects and PhD theses. Dr. Balas is the Director of the Intelligent Systems Research Center and the Director of the Department of International Relations, Programs and Projects at the “Aurel Vlaicu” University of Arad. She served as the General Chair for nine editions of the International Workshop on Soft Computing Applications (SOFA) organized in 2005–2020 and held in Romania and Hungary. Dr. Balas participated in many international conferences as organizer, honorary chair, session chair, member in steering, advisory or international program committees, and keynote speaker. Now she is working on a national project funded by the European Union: BioCell-NanoART = Novel Bio-inspired Cellular Nano-Architectures. She is a member of the European Society for Fuzzy Logic and Technology, a member of the Society for Industrial and Applied Mathematics, a senior member of IEEE, a member of the IEEE Fuzzy Systems Technical Committee, the chair of Task Force 14 of the IEEE Emergent Technologies Technical Committee, a member of the IEEE Soft Computing Technical Committee. She is also the recipient of the "Tudor Tanasescu" prize from the Romanian Academy for contributions in the field of soft computing methods (2019).

Affiliations and Expertise

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

Ratings and Reviews

Write a review

There are currently no reviews for "Applications of AI and IOT in Renewable Energy"