Details
Smart Grids and Big Data Analytics for Smart Cities
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CHF 118.00 |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 31.10.2020 |
| ISBN/EAN: | 9783030521554 |
| Sprache: | englisch |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
This book provides a comprehensive introduction to different elements of smart city infrastructure - smart energy, smart water, smart health, and smart transportation - and how they work independently and together. Theoretical development and practical applications are presented, along with related standards, recommended practices, and professional guidelines. Throughout the book, diagrams and case studies are provided that demonstrate the systems presented, and extensive use of scenarios helps readers better grasp how smart grids, the Internet of Things, big data analytics, and trading models can improve road safety, healthcare, smart water management, and a low-carbon economy. A must-read for practicing engineers, consultants, regulators, utility operators, and environmentalists involved in smart city development, the book will also appeal to city planners and designers, as well as upper-level undergraduate and graduate students studying energy, environmental science, technology, economics, signal processing, information science, and power engineering.
<div>Chapter 1. Smart Cities.- Chapter 2. Data Analytics for Solar Energy in Promoting Smart Cities.- Chapter 3. Blockchain Applications in Microgrid Clusters.- Chapter 4. A Time-synchronized ZigBee Building Network for Smart Water Management.- Chapter 5. A Narrowband Internet of Things Connected Temperature Prediction for Value Regulated Lead Acid Battery.- Chapter 6. Detection Scheme for Driver Status for Road Safety.<br></div>
<p><b>Dr. Chun Sing Lai</b> received the BEng (1<sup>st</sup> Hons.) in Electrical and Electronic Engineering from Brunel University London, UK in 2013 and DPhil in Engineering Science from the University of Oxford, UK in 2019. He is currently a Lecturer at Department of Electronic and Computer Engineering, Brunel University London, UK and also a Visiting Academic with the Department of Electrical Engineering, Guangdong University of Technology, China. He is a member of Brunel Institute of Power Systems. From 2018 to 2020, Dr. Lai was an Engineering and Physical Sciences Research Council (EPSRC) Research Fellow with the Faculty of Engineering and Physical Sciences, University of Leeds. He is Working Group Chair for the IEEE Standards Association P2814 standard, Publication Co-chair of the 6th IEEE International Smart Cities Conference (ISC2 2020), Secretary of the IEEE Smart Cities Publications Committee, and Acting Editor-in-Chief for IEEE Smart Cities Newsletters. He organized the workshop on Smart Grid and Smart City in the 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC2017) in Canada and workshop on Blockchain for Smart Grid, in the 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC2018) in Japan. His current research interests are in power system optimization, energy system modelling, data analytics, and energy economics for low carbon energy networks and energy storage systems. Dr Lai is a member of IET and IEEE.</p>
<p><b>Professor Loi Lei Lai</b> received the BSc (1<sup>st</sup> Hons.), PhD, and DSc from the University of Aston, UK and City University of London, UK respectively in Electrical and Electronic Engineering. Presently, he is University Distinguished Professor at the Guangdong University of Technology, Guangzhou, China. He is a member of the IEEE Smart Cities Steering Committee and Chair of the IEEE Systems, Man and Cybernetics Society (IEEE/SMCS) Standards Committee. He was a member of the IEEE Smart Grid Steering Committee; Director of Research and Development Centre, State Grid Energy Research Institute, China; Pao Yue Kong Chair Professor at Zhejiang University, China; Vice President with IEEE/SMCS; Professor and Chair in Electrical Engineering at the City University of London, UK; and a Fellow Committee Evaluator for IEEE Industrial Electronics Society. He was awarded an IEEE Third Millennium Medal, IEEE Power and Energy Society (IEEE/PES) UKRI Power Chapter Outstanding Engineer Award in 2000, IEEE/PES Energy Development and Power Generation Committee Prize Paper in 2006 & 2009, IEEE/SMCS Outstanding Contribution Award in 2013 & 2014, and the Most Active Technical Committee Award in 2016. He is a Fellow of IET and IEEE, and National Distinguished Expert in China and Distinguished Expert in State Grid Corporation of China.</p>
<p><b>Qi Hong Lai</b> attended Harrow International School Beijing where she was awarded funding under the IEEE Systems, Man, and Cybernetics (SMC) Society Pre-College Activities initiative to set up a program on Brain-Computer Interface. She received the BSc (1<sup>st</sup> Hons.) in Biomedical Science from King’s College London, U.K. in 2019. At present, she is working towards her DPhil in Molecular Cell Biology in Health and Disease at the Sir William Dunn School of Pathology, University of Oxford. Her current research interests are in transcriptional gene regulation, bioinformatics and smart health.</p>
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<p><b>Professor Loi Lei Lai</b> received the BSc (1<sup>st</sup> Hons.), PhD, and DSc from the University of Aston, UK and City University of London, UK respectively in Electrical and Electronic Engineering. Presently, he is University Distinguished Professor at the Guangdong University of Technology, Guangzhou, China. He is a member of the IEEE Smart Cities Steering Committee and Chair of the IEEE Systems, Man and Cybernetics Society (IEEE/SMCS) Standards Committee. He was a member of the IEEE Smart Grid Steering Committee; Director of Research and Development Centre, State Grid Energy Research Institute, China; Pao Yue Kong Chair Professor at Zhejiang University, China; Vice President with IEEE/SMCS; Professor and Chair in Electrical Engineering at the City University of London, UK; and a Fellow Committee Evaluator for IEEE Industrial Electronics Society. He was awarded an IEEE Third Millennium Medal, IEEE Power and Energy Society (IEEE/PES) UKRI Power Chapter Outstanding Engineer Award in 2000, IEEE/PES Energy Development and Power Generation Committee Prize Paper in 2006 & 2009, IEEE/SMCS Outstanding Contribution Award in 2013 & 2014, and the Most Active Technical Committee Award in 2016. He is a Fellow of IET and IEEE, and National Distinguished Expert in China and Distinguished Expert in State Grid Corporation of China.</p>
<p><b>Qi Hong Lai</b> attended Harrow International School Beijing where she was awarded funding under the IEEE Systems, Man, and Cybernetics (SMC) Society Pre-College Activities initiative to set up a program on Brain-Computer Interface. She received the BSc (1<sup>st</sup> Hons.) in Biomedical Science from King’s College London, U.K. in 2019. At present, she is working towards her DPhil in Molecular Cell Biology in Health and Disease at the Sir William Dunn School of Pathology, University of Oxford. Her current research interests are in transcriptional gene regulation, bioinformatics and smart health.</p>
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This book provides a comprehensive introduction to different elements of smart city infrastructure - smart energy, smart water, smart health, and smart transportation - and how they work independently and together. Theoretical development and practical applications are presented, along with related standards, recommended practices, and professional guidelines. Throughout the book, diagrams and case studies are provided that demonstrate the systems presented, and extensive use of scenarios helps readers better grasp how smart grids, the Internet of Things, big data analytics, and trading models can improve road safety, healthcare, smart water management, and a low-carbon economy. A must-read for practicing engineers, consultants, regulators, utility operators, and environmentalists involved in smart city development, the book will also appeal to city planners and designers, as well as upper-level undergraduate and graduate students studying energy, environmental science, technology, economics, signal processing, information science, and power engineering.<div><ul><li>Provides a balanced approach of advanced theory and practical applications</li><li>Covers relevant standards, recommended practices, and professional guidelines </li><li>Extensive use of case studies and scenarios illuminate the systems presented </li></ul><div><br></div><div><br></div></div>
<p>Provides a balanced approach of advanced theory and practical applications</p><p>Covers relevant standards, recommended practices, and professional guidelines</p><p>Extensive use of case studies and scenarios illuminate the systems presented</p>
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