Applications of Big Data and Artificial Intelligence in Smart Energy Systems
River Publishers (Verlag)
978-87-7022-825-1 (ISBN)
In the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, domestic loads, and industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution, automation, energy regulation & control, and energy trading. This book covers the applications of various big data analytics,artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies for modern power systems such as the Internet of Things, Blockchain for smart home and smart city solutions in depth.
Technical topics discussed in the book include:
• Hybrid smart energy system technologies
• Smart meters
• Energy demand forecasting
• Use of different protocols and communication in smart energy
systems
• Power quality and allied issues and mitigation using AI
• Intelligent transportation
• Virtual power plants
• AI based smart energy business models
• Smart home solutions
• Blockchain solutions for smart grids.
Dr. Neelu Nagpal (Senior Member, IEEE), an Associate Professor at GGSIP University, has been working for the last 16 years in the EEE Department of Maharaja Agrasen Institute of Technology, Delhi, India. Her Ph.D. in Electrical Engineering was accomplished at Delhi Technological University, Delhi. She was the recipient of a research award from Delhi Technological University during her Ph.D. course. She completed her Masters with distinction from Delhi University in Control and Instrumentation specialization. Besides having 22 years of experience in teaching, she has 5 years of industrial experience and a lot more educational contributions to her name. She has 20 research publications in top-tier journals and conferences and has a grant of one Australian patent. Her area of research is investigations into the dynamics, control, and estimation in the field of nonlinear stochastic systems (power systems and robotics), smart grid technologies, and artificial intelligence. She has been involved in many reputed conferences in various capacities such as advisor, reviewer, session-chair, track-chair, organizing committee member, and publication chair (IEEE conference-ICIERA-2021). She is an IEEE Smart Cities Ambassador, 2022. Professor Hassan Haes Alhelou (Senior Member, IEEE) is with Monash University, Australia. He is also a Professor at Tishreen University in Syria, and a consultant with Sultan Qaboos University in Oman. Previously, He was with UCD-Ireland and IUT-Iran. He was included in the 2018 and 2019 Publons list of the top 1% best reviewers in the world. He is the recipient of the Outstanding Reviewer Award from many journals, e.g., ECM, ISA Transactions, and Applied Energy; and the recipient of the best young researcher in the Arab Student Forum Creative among 61 researchers from 16 countries at Alexandria University, Egypt, 2011. He also received the Excellent Paper Award 2021 from IEEE CSEE Journal of Power and Energy Systems. He has published more than 200 research papers in high-quality peer-reviewed journals. His research papers have received 2850 citations with an H-index of 26 and an i-index of 56. He has authored/edited 15 books published by reputed publishers. He serves as an editor for a number of prestigious journals. He has participated in more than 15 international industrial projects over the globe. His major research interests are power system security and dynamics, power system cybersecurity, power system operation, and control, dynamic state estimation, and smart grids. Professor Pierluigi Siano (M’09–SM'14) received an M.Sc. degree in electronic engineering and a Ph.D. degree in information and electrical engineering from the University of Salerno, Salerno, Italy, in 2001 and 2006, respectively. He is a Professor and Scientific Director of the Smart Grids and Smart Cities Laboratory with the Department of Management & Innovation Systems, University of Salerno, Italy. Since 2021 he has been a Distinguished Visiting Professor in the Department of Electrical & Electronic Engineering Science, University of Johannesburg. His research activities are centred on demand response, energy management, the integration of distributed energy resources in smart grids, electricity markets, and planning and management of power systems. In these research fields, he has co-authored more than 660 articles including more than 390 international journals that received in Scopus more than 14,200 citations with an H-index equal to 58. In 2019, 2020, and 2021 he was cited as a Highly Cited Researcher in Engineering by the Web of Science Group. He is the Editor for the Power & Energy Society Section of IEEE Access, IEEE Transactions on Power Systems, IEEE Transactions on Industrial Informatics, Transactions on Industrial Electronics, and IEEE Systems. Professor Sanjeevikumar Padmanaban (Member’12–Senior Member’15-IEEE) received his bachelor's, master and Ph.D. degrees in electrical engineering from the University of Madras, India, 2002, Pondicherry University, India, 2006, and the University of Bologna, Italy, 2012. Since 2018, he has been with the Department of Energy Technology, Aalborg University, Esbjerg, Denmark, as an Assistant Professor. He has authored 300 plus scientific papers and has been involved in various capacities in many international conferences, including for IEEE and IET. He has received the best paper award from IET-SEISCON’13, IET-CEAT’16, and ETAEERE’16 sponsored Springer book publication series (five papers). He serves as an Editor/Associate Editor/Editorial Board of many refereed journals in particular the IEEE Systems Journal, IEEE Access, the IET Power Electronics, the subject editor of IET Renewable Power Generation, the subject editor of IET Generation, Transmission, and Distribution, Journal of Power Electronics (Korea) and FACETS (Canada). He is a fellow of the Institution of Engineers – FIE '18 (India) and a fellow of the Institution of Telecommunication and Electronics Engineers – FIETE’18 (India). Dr. D. Lakshmi is presently designated as a Senior Associate Professor in the School of Computing Science and Engineering (SCSE) and Assistant Director, Centre for Innovation in Teaching & Learning (CITL) at VIT Bhopal. She has 25 years of teaching experience. She has given innumerable guest lectures, acted as a session chair, and has been invited as a keynote speaker. She has conducted FDPs that cover approximately 50,000 plus faculty members including JNTU, TEQIP, SERB, SWAYAM, DST, AICTE, MHRD, ATAL, ISTE sponsored, and self-financed workshops across India. She has given 17 international conference presentations, has written 17 international journal papers including for SCOPUS, WOS, SCIE, SCI, 2 book chapters, 1 German patent, 3 Indian patents granted, 8 are yet to be granted, 2 Indian Copyrights granted, 4 Australian patents are granted, 8 more Indian patents are published and waiting for grant. A total of 18 patents are in various states. She has won two Best Paper awards at international conferences, and published a book on "Theory of Computation" in the year 2003 and "Leading Education in the Age of Disruption" in the year 2021.
1. Introduction to Smart Energy Systems and Recent Trends 2. An Overview of Artificial Intelligence, Big Data, and Internet of Things for Future Energy Systems 3. LoRa: A New Technology for Smart Grid Applications 4. Clustering Hybrid Application for Load Forecasting in Smart Grids 5. Big Data Analytical Techniques for Electrical Energy Forecasting in the Smart Grid Paradigm 6. A Review of Smart Grid Planning Approaches and a New Proposal for operational Planning of a Smart Grid with Smart Homes 7. Smart Meter Data Analytics Case Study: Identification of LV Distribution Network Topology to Design Optimal Planning Solutions 8. Build Smart Grids on Artificial Intelligence: A Real-world Example 9. Artificial Intelligence Enabled Energy-efficient Technologies for Secured Smart Homes 10. A Review of Technologies in Net Zero Energy Building for Islanded Operation
| Erscheinungsdatum | 03.10.2023 |
|---|---|
| Reihe/Serie | River Publishers Series in Computing and Information Science and Technology |
| Zusatzinfo | 37 Tables, black and white; 9 Line drawings, color; 22 Line drawings, black and white; 74 Halftones, color; 83 Illustrations, color; 22 Illustrations, black and white |
| Verlagsort | Gistrup |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 900 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Naturwissenschaften ► Physik / Astronomie | |
| Technik ► Umwelttechnik / Biotechnologie | |
| ISBN-10 | 87-7022-825-6 / 8770228256 |
| ISBN-13 | 978-87-7022-825-1 / 9788770228251 |
| Zustand | Neuware |
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