IoT Enabled Multi-Energy Systems
From Isolated Energy Grids to Modern Interconnected Networks
- 1st Edition - February 20, 2023
- Imprint: Academic Press
- Editors: Mohammadreza Daneshvar, Behnam Mohammadi-Ivatloo, Kazem Zare, Amjad Anvari-Moghaddam
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 5 4 2 1 - 1
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 5 7 8 0 - 9
IoT-Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks proposes practical solutions for the management and control of energy interacti… Read more
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Request a sales quoteIoT-Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks proposes practical solutions for the management and control of energy interactions throughout the interconnected energy infrastructures of the future multi-energy grid. The book discusses a panorama of modeling, planning and optimization considerations for IoT technologies, their applications across grid modernization, and the coordinated operation of multi-vector energy grids. The work is suitable for energy, power, mechanical, chemical, process and environmental engineers, and highly relevant for researchers and postgraduate students who work on energy systems.
Sections address core theoretical underpinnings, significant challenges and opportunities, how to support IoT-based developed expert systems, and how AI can empower IoT technologies to sustainably develop fully renewable modern multi-carrier energy networks. Contributors address artificial intelligence technology and its applications in developing IoT-based technologies, cloud-based intelligent energy management schemes, data science and multi-energy big data analysis, machine learning and deep learning techniques in multi-energy systems, and much more.
- Reviews core applications of IoT technologies in grid modernization of multi-energy networks
- Develops practical solutions for optimal integration of renewable energy resources in modern multi-vector energy networks
- Analyzes the reliable integration, sustainable operation and accurate planning of multi-carrier energy grids in highly penetrated stochastic energy resources
Early career researchers at 1st year PhD level and above developing IoT-based solutions, senior division undergraduate and graduate students studying multi-vector energy grids as parts of energy and environmental sciences courses, Multi-vector energy, environmental and systems engineers, computer and data science engineers, energy economists, mechanical engineers, chemical and process engineers, artificial intelligence developers, policy makers, and energy service providers that concentrate on developing, modelling, simulating, designing, evaluating, and optimizing multi-energy systems for future modern multi-vector energy networks
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Preface
- 1. Overview of Internet of Things-based multi-energy management of cleaner multi-energy mix
- Abstract
- Chapter Outline
- 1.1 Introduction
- 1.2 Applications of Internet of Things
- 1.3 Characteristics of Internet of Things
- 1.4 Opportunities of Internet of Things
- 1.5 Challenges of Internet of Things
- 1.6 Summary
- References
- 2. Overview of multi-energy interconnected systems in different energy grids
- Abstract
- Chapter Outline
- Abbreviations
- 2.1 Introduction
- 2.2 Modern interconnected energy networks
- 2.3 Internet of Things technologies for transactive energy systems
- 2.4 Control methods of interconnected energy networks
- 2.5 Modeling methods of interconnected multi-energy systems: a survey on state-of-the-art
- 2.6 Advantages and challenges of interconnected multi-energy systems
- 2.7 Conclusion
- References
- 3. Overview of Internet of Things-based fault positioning cyber-physical systems in smart cleaner multi-energy systems
- Abstract
- Chapter Outline
- 3.1 Introduction
- 3.2 Structure of Internet of Things-based fault monitoring cyber-physical system for clean multi-energy mixes
- 3.3 Advantages and opportunities of Internet of Things-based fault monitoring system
- 3.4 Challenges of Internet of Things-based fault monitoring system
- 3.5 Applicability of Internet of Things technology with conventional methods
- 3.6 The future development path for Internet of Things-based fault detection systems for clean multi-energy mixes
- 3.7 Summary
- References
- 4. Architecture and applications of Internet of Things in smart grids
- Abstract
- Chapter Outline
- 4.1 Introduction
- 4.2 Internet of Things in smart grid
- 4.3 Internet of Things in generation level
- 4.4 Internet of Things in transmission level
- 4.5 Internet of Things in distribution level
- 4.6 Internet of Things in transportation networks
- 4.7 Summary
- References
- 5. Artificial intelligence–enabled Internet of Things technologies in modern energy grids
- Abstract
- Chapter Outline
- 5.1 Introduction
- 5.2 Communication infrastructure
- 5.3 Key features in energy internet
- 5.4 Internet of Things challenges in energy systems
- 5.5 Future research potentials
- 5.6 Conclusion
- References
- 6. Data science leverage and big data analysis for Internet of Things energy systems
- Abstract
- Chapter Outline
- 6.1 Introduction
- 6.2 Data science
- 6.3 Big data
- 6.4 Future research potentials
- 6.5 Conclusion
- References
- 7. Battery cloud with advanced algorithms
- Abstract
- Chapter Outline
- 7.1 Introduction
- 7.2 Battery in the cloud
- 7.3 Onboard state of charge estimation with cloud-trained ANNs
- 7.4 Online state-of-health estimation
- 7.5 Cloud-based thermal runaway prediction
- 7.6 Conclusion
- References
- 8. Applicability of federated learning for securing critical energy infrastructures
- Abstract
- Chapter Outline
- 8.1 Introduction
- 8.2 Review of cyberattacks in smart grids
- 8.3 Federated learning and challenges
- 8.4 Simulated system model
- 8.5 Simulation results
- 8.6 Insights on federated learning security countermeasures
- 8.7 Conclusion
- References
- 9. A lightweight string-matching technique for secure communication within IoT energy systems technology
- Abstract
- Chapter Outline
- 9.1 Introduction
- 9.2 Background
- 9.3 Literature review
- 9.4 Proposed architecture and design
- 9.5 Result, discussion, and findings
- 9.6 Conclusion
- Acknowledgments
- References
- Index
- Edition: 1
- Published: February 20, 2023
- No. of pages (Paperback): 190
- No. of pages (eBook): 190
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780323954211
- eBook ISBN: 9780323957809
MD
Mohammadreza Daneshvar
Mohammadreza Daneshvar is a Research Associate with the Smart Energy Systems Lab in the Department of Electrical and Computer Engineering at the University of Tabriz. He is the editor of more than 40 journal and conference papers in the field of multi-energy systems, grid modernization, transactive energy, and optimizing the multi-carrier energy grids. He is the author and editor of three books with Springer, Elsevier, and Wiley-IEEE. He serves as an active reviewer with IEEE, Elsevier, Springer, Wiley, Taylor & Francis, and IOS Press, and was ranked among the top 1% of reviewers in Engineering and Cross-Field based on Publons global reviewer database. His research interests include smart grids, transactive energy, energy management, renewable energy sources, multi-carrier energy systems, grid modernization, electrical energy storage systems, microgrids, energy hubs, machine learning and deep learning, blockchain technology, and optimization techniques.
Affiliations and expertise
Research Assistant, Smart Energy Systems Lab in Electrical Power Systems Engineering at the University of Tabriz, IranBM
Behnam Mohammadi-Ivatloo
Behnam Mohammadi-Ivatloo, Ph.D., is a Professor with the Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. He was previously a Senior Research Fellow at Aalborg University, Denmark. Before joining the University of Tabriz, he was a research associate at the Institute for Sustainable Energy, Environment and Economy at the University of Calgary. He obtained MSc and Ph.D. degrees in electrical engineering from the Sharif University of Technology. His main research interests are renewable energies, microgrid systems, and smart grids. He has authored and co-authored more than 200 technical publications in his domain of interest, more than 30 book chapters, and 10 books.
Affiliations and expertise
Department of Electrical and Computer Engineering, University of Tabriz, Tabriz, IranKZ
Kazem Zare
Kazem Zare PhD, SMIEEE received the B.Sc. and M.Sc. degrees in electrical engineering from University of Tabriz, Tabriz, Iran, in 2000 and 2003, respectively, and Ph.D. degree from Tarbiat Modares University, Tehran, Iran, in 2009. Currently, he is an Associate Professor of the Faculty of Electrical and Computer Engineering, University of Tabriz. His research areas include distribution networks operation and planning, power system economics, microgrid and energy management.
Affiliations and expertise
Associate Professor, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, IranAA
Amjad Anvari-Moghaddam
Amjad Anvari-Moghaddam PhD, SMIEEE, received the Ph.D. degree (Hons.) in Power Systems Engineering from the University of Tehran, in 2015. He is currently an Associate Professor and the vice leader of PESYS and iGRIDS research groups at the Department of Energy (AAU Energy), Aalborg University, where he is also the coordinator for the Integrated Energy Systems Laboratory (IES-Lab). He has published more than 200 technical articles, 4 books, and 8 book chapters. His research interests include planning, control, and operation management of microgrids, renewable/hybrid power systems, and integrated energy systems with appropriate market mechanisms. He was a recipient of the 2020 DUO-India Fellowship Award, the DANIDA Research Fellowship grant from the Ministry of Foreign Affairs of Denmark, in 2018, the IEEE-CS Outstanding Leadership Award 2018 (Halifax, Nova Scotia, Canada), and the 2017 IEEE-CS Outstanding Service Award (Exeter-UK).
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