Overview
- Covers renewable energy sector fundamentals
- Explains the application of big data in distributed energy domains
- Discusses AI and IoT prediction methods and models
Part of the book series: Power Systems (POWSYS)
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Table of contents (14 chapters)
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Front Matter
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Back Matter
Keywords
About this book
AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems looks at opportunities to employ cutting-edge applications of artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) in designing and modeling energy and renewable energy systems. The book's main objectives are to demonstrate how big data can help with energy efficiency and demand reduction, increase the usage of renewable energy sources, and assist in transitioning from a centralized system to a distributed, efficient, and embedded energy system. Contributions cover the fundamentals of the renewable energy sector, including solar, wind, biomass, and hydrogen, as well as building services and power generation systems. Chapters also examine renewable energy property prediction methods and discuss AI and IoT prediction models for biomass thermal properties.
- ​Covers renewable energy sector fundamentals;
- Explains the application of big data in distributed energy domains;
- Discusses AI and IoT prediction methods and models.
Editors and Affiliations
About the editors
Dr. S. Vijayalakshmi is an Associate Professor in the Department of Data Science, Christ University, India. She has more than 20 years of teaching experience. Her research area is image processing and IoT. She has contributed papers to Scopus and SCI journals and many international and national conferences. She has authored and edited various books and chapters on technologies such as artificial intelligence, the Internet of Things, deep learning, big data, and blockchain. Dr. Vijayalakshmi has also contributed to many patents on smart robotics, smart assistive devices for visually impaired people, mobile applications for handling road accidents, and swift cane juicers. She is a member of many academic bodies such as IFERP and has served as a panel member for the research scholars at various universities. She has also guided many Ph.D. scholars, and two scholars have completed their Ph.D. under her guidance.
Dr. Savita Lather is a researcher at the School of Computing Science and Engineering, Galgotias University, India. She received a Bachelor of Arts degree from Hindu Girls College, India, in 2007, a Master of Computer Applications degree from SBIT College, India, in 2010, qualified UGC-NET JRF in 2014 and received her Ph.D. from the School of Computing Science and Engineering, Galgotias University in 2022. She has published many research papers in the area of medical image processing in international and national conference proceedings and journals, has contributed several book chapters and serves as a member of many academic committees.
Dr. Balamurugan Balusamy is currently working as an Associate Dean of Student Engagement at Shiv Nadar University, India. Before this assignment, he was a Professor in the School of Computing Sciences & Engineering and Director of International Relations at Galgotias University, India. Dr. Balusamy was also a member of the faculty at VIT University, India, for 12 years, where he served up to the positionof Associate Professor. His research contributions focus on engineering education, blockchain, and data sciences. He received his bachelor’s degree in Computer Science and Engineering from Bharathidasan University, India, his master’s degree in Computer Science and Engineering from Anna University, India, and his Ph.D. in Computer Science and Engineering from VIT University. He has published more than 200 journal and conference papers and book chapters and has edited and authored more than 80 books. He serves on the advisory committees of several start-ups and forums and does consultancy work on industrial IoT. Dr. Balusamy has collaborated with eminent professors worldwide from top QS-ranked universities and has given more than 195 talks at international events and symposiums. His passion is teaching, and he has visited more than 15 countries for his technical course.Dr Rajesh Kumar Dhanaraj is a Professor in the School of Computing Science and Engineering at GalgotiasUniversity, Greater Noida, India. He received the B.E. degree in Computer Science and Engineering from the Anna University Chennai, India in 2007 and the M.Tech from the Anna University Coimbatore, India in 2010 and Ph.D. degree in Computer Science from Anna University, Chennai, India, in 2017. He has contributed 30+ Authored and Edited books on various technologies, 21 Patents and 53 articles and papers in various refereed journals and international conferences and contributed chapters to the books. His research interests include Machine Learning, Cyber-Physical Systems and Wireless Sensor Networks. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), member of the Computer Science Teacher Association (CSTA); and International Association of Engineers (IAENG). He is serving as an Associate Editor and Guest Editor for reputed journals. He is an Expert Advisory Panel Member of Texas Instruments Inc USABibliographic Information
Book Title: AI-Powered IoT in the Energy Industry
Book Subtitle: Digital Technology and Sustainable Energy Systems
Editors: S. Vijayalakshmi, Savita ., Balamurugan Balusamy, Rajesh Kumar Dhanaraj
Series Title: Power Systems
DOI: https://doi.org/10.1007/978-3-031-15044-9
Publisher: Springer Cham
eBook Packages: Energy, Energy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-15043-2Published: 06 April 2023
Softcover ISBN: 978-3-031-15046-3Published: 07 April 2024
eBook ISBN: 978-3-031-15044-9Published: 05 April 2023
Series ISSN: 1612-1287
Series E-ISSN: 1860-4676
Edition Number: 1
Number of Pages: XIV, 311
Number of Illustrations: 10 b/w illustrations, 87 illustrations in colour
Topics: Power Electronics, Electrical Machines and Networks, Renewable and Green Energy, Cyber-physical systems, IoT, Energy Systems