Internet of Energy for Smart Cities: Machine Learning Models and Techniques
暫譯: 智慧城市的能源互聯網：機器學習模型與技術

機器學習方法具備學習和適應大型能源互聯網（Internet-of-energy, IoE）網絡不斷演變需求的能力。本書的重點在於利用機器學習方法為智慧城市中的IoE網絡提出各種解決方案，以解決需求響應管理、資源管理以及有效利用基礎ICT網絡等各種研究空白。它提供深入的知識，幫助讀者建立技術理解，以追求該領域的各種研究問題。此外，本書提供了與現實生活場景相關的智慧城市範例問題及其使用機器學習的解決方案。本書的目標讀者為研究生、計算機科學、電機工程、電信工程、物聯網、機器學習、綠色計算、智慧電網的研究人員，內容包括：

- 涵蓋能源互聯網（IoE）和智慧城市的所有方面，包括研究問題和解決方案。
- 指出機器學習提供的解決方案，以優化智慧城市設置中的電網。
- 討論相關的IoE設計原則和架構。
- 幫助自動化智慧城市中的各種能源管理服務。
- 包含案例研究，以展示所討論方案的有效性。

Anish Jindal:

Dr. Anish Jindal is working as a Lecturer (Assistant Professor) in the School of Computer Science and Electronic Engineering (CSEE), University of Essex since Mar 2020. Prior to this, he worked as a senior research associate at the School of Computing & Communications, Lancaster University, UK from Oct. 2018 to Mar. 2020. He completed his Ph.D., M.Engg. and B. Tech. degrees in computer science engineering in 2018, 2014, and 2012, respectively. He is the recipient of the Outstanding Ph.D. Dissertation Award, 2019 from the IEEE Technical Committee on Scalable Computing (TCSC) and conferred with the IEEE Communication Society's Outstanding Young Researcher Award for Europe, Middle East, and Africa (EMEA) Region, 2019. He has also been a visiting researcher to OFFIS - Institute for Information Technology, Germany in 2019. His research interests are in the areas of smart cities, data analytics, artificial intelligence, cyber-physical systems, wireless networks, and security. Some of his research findings are published in top-cited journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Vehicular Technology, IEEE Communication Magazine, IEEE Network, Future Generation Computer Systems, and Computer Networks. In addition to it, his research works have also been presented in various conferences of repute such as IEEE ICC, IEEE Globecom, IEEE WiMob, IEEE PES General Meeting, ACM MobiHoc, etc. He has served as General co-chair, TPC co-chair, TPC member, Publicity chair and Session chair of various reputed conferences and workshops including IEEE ICC, IEEE WoWMoM, IEEE INFOCOM and IEEE GLOBECOM. He is also the guest editor of various journals including Software: Practice and Experience (Wiley), Neural Computing & Applications (Springer), Computer Communications (Elsevier), and Computers (MDPI). He has also delivered many invited talks and lectures in various international avenues. He is a member of the ACM, IEEE, and actively involved with various working groups and committees of IEEE and ACM related to smart grid, energy informatics and smart cities.

Prof. Neeraj Kumar　　(SMIEEE)　　(2019, 2020 highly-cited researcher from WoS) is working as a Full Professor in the Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology (Deemed to be University), Patiala (Pb.), India.　　He is also adjunct professor at Asia University, Taiwan, King Abdul Aziz University, Jeddah, Saudi Arabia. He has published more than 400 technical research papers (DBLP: 　https: //dblp.org/pers/hd/k/Kumar_0001: Neeraj) in top-cited journals and conferences which are cited more than 14802 times from well-known researchers across the globe with current h-index of 65 (Google scholar: 　https: //scholar.google.com/citations?hl=en&user=gL9gR-4AAAAJ). He is highly cited researcher in 2019, 2020 in the list released by Web of Science (WoS). He has guided many research scholars leading to Ph.D. and M.E./M.Tech. His research is supported by funding from various competitive agencies across the globe.　　His broad research areas are Green computing and Network management, IoT, Big Data Analytics, Deep learning and cyber-security.　He has also edited/authored 10 books with International/National Publishers like IET, Springer, Elsevier, CRC.　Security and Privacy of Electronic Healthcare Records: Concepts, paradigms and solutions (ISBN-13: 978-1-78561-898-7),　Machine Learning for cognitive IoT, CRC Press,　　Blockchain, Big Data and Machine learning, CRC Press,　Blockchain Technologies across industrial vertical, Elsevier,　Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms and Solutions (ISBN: 978-981-13-8759-3), Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019) (ISBN 978-981-15-3369-3). Probabilistic Data Structures for Blockchain based IoT Applications, CRC Press.　　One of the edited text-book entitled, "Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms, and Solutions" published in Springer in 2019 is having　3.5 million downloads till 06 June 2020. It attracts attention of the researchers across the globe. (https: //www.springer.com/in/book/9789811387586).　

　　He is serving as editors of　ACM Computing Survey, IEEE Transactions on Sustainable Computing, IEEE Systems Journal, IEEE Network Magazine, IEEE Communication Magazine, Elsevier Journal of Networks and Computer Applications,　　Elsevier Computer Communication,　　Wiley International Journal of Communication Systems. Also, he has organized various special issues of journals of repute from IEEE, Elsevier, Springer.　　He has been a workshop chair at IEEE Globecom 2018, IEEE Infocom 2020 (https: //infocom2020.ieee-infocom.org/workshop-blockchain-secure-software-defined-networking-smart-communities)　　and IEEE ICC 2020 (https: //icc2020.ieee-icc.org/workshop/ws-06-secsdn-secure-and-dependable-software-defined-networking-sustainable-smart)　　and track chair of Security and privacy of IEEE MSN 2020 (https: //conference.cs.cityu.edu.hk/msn2020/cf-wkpaper.php). He is also TPC Chair and member for various International conferences such as IEEE MASS 2020, IEEE MSN2020. He has won the best papers award from　IEEE Systems Journal and　IEEE ICC 2018, Kansas-city in 2018. He won the best researcher award from parent organization every year from last eight consecutive years.

Dr. Gagangeet Singh Aujla is an Assistant Professor of Computer Science at Durham University. Before this, he worked as a post-doctoral research associate at Newcastle University, a research associate at Thapar University (India), a visiting researcher at University of Klagenfurt (Austria) and on various academic positions for more than a decade. He received his PhD degree from the Thapar University (India), Master and Bachelor degrees from the Punjab Technical University (India). For his contributions to the area of scalable and sustainable computing, he was awarded the 2018 IEEE TCSC Outstanding PhD Dissertation Award of Excellence. The main theme of his research is energy-efficient, reconfigurable, resilient and intelligent surfaces (smart city, smart grid, IoT-Edge-Cloud systems, healthcare systems, transportation systems). To develop himself as a researcher, he worked on various research projects awarded by EPSRC, the Department of Science and Technology (India), and Austrian Federal Ministry of Education, Science and Research. This facilitated his collaboration with international researchers from the UK, US, Canada, Australia, China, Austria, Brazil, and India. Together, the group published several research papers in the fields of software-defined networking, energy-efficient cloud data centres, edge-cloud computing, blockchain, particularly focusing on the creation of reconfigurable, resilient and intelligent surfaces. He led his team organizing workshops (SecSDN and BlockSecSDN) in conjunction with different IEEE Communication Society conferences like IEEE Infocom, IEEE Globecom, IEEE ICC, and many more. Contributing to the research community, he is serving as Associate Editor for Ad-hoc Networks and Topic Editor for Sensors, a Guest Editor for IEEE Transaction on Industrial Informatics, IEEE Network, Neural Computing and Applications (Springer), Computer Communications (Elsevier), and Transactions on Emerging Telecommunications (Wiley).

安尼什·金達爾（Anish Jindal）：

安尼什·金達爾博士自2020年3月起在英國埃塞克斯大學計算機科學與電子工程學院（CSEE）擔任講師（助理教授）。在此之前，他於2018年10月至2020年3月在英國蘭卡斯特大學計算與通信學院擔任高級研究助理。他於2018年、2014年和2012年分別獲得計算機科學工程的博士、碩士和學士學位。他是2019年IEEE可擴展計算技術委員會（TCSC）頒發的傑出博士論文獎的獲得者，並獲得2019年IEEE通信學會歐洲、中東和非洲（EMEA）地區的傑出青年研究者獎。他於2019年曾作為訪問研究員前往德國OFFIS信息技術研究所。他的研究興趣包括智慧城市、數據分析、人工智慧、網絡物理系統、無線網絡和安全性。他的一些研究成果發表在多個高引用的期刊上，如IEEE工業信息學期刊、IEEE工業電子學期刊、IEEE車輛技術期刊、IEEE通信雜誌、IEEE網絡、未來一代計算機系統和計算機網絡。此外，他的研究工作也在多個知名會議上發表，如IEEE ICC、IEEE Globecom、IEEE WiMob、IEEE PES年會、ACM MobiHoc等。他曾擔任多個知名會議和研討會的總共主席、技術程序委員會共同主席、技術程序委員會成員、宣傳主席和會議主席，包括IEEE ICC、IEEE WoWMoM、IEEE INFOCOM和IEEE GLOBECOM。他也是多個期刊的客座編輯，包括《Software: Practice and Experience》（Wiley）、《Neural Computing & Applications》（Springer）、《Computer Communications》（Elsevier）和《Computers》（MDPI）。他在多個國際場合發表過許多受邀演講和講座。他是ACM和IEEE的成員，並積極參與與智慧電網、能源信息學和智慧城市相關的IEEE和ACM各工作組和委員會。

尼拉吉·庫馬（Neeraj Kumar）：

尼拉吉·庫馬教授（SMIEEE）（2019、2020年WoS高引用研究者）目前在印度巴提亞拉的塔帕爾工程技術學院（被認定為大學）計算機科學與工程系擔任全職教授。他同時也是台灣亞洲大學和沙烏地阿拉伯吉達的阿卜杜勒·阿齊茲國王大學的兼任教授。他在頂尖引用的期刊和會議上發表了超過400篇技術研究論文（DBLP: https://dblp.org/pers/hd/k/Kumar_0001: Neeraj），這些論文被全球知名研究者引用超過14802次，目前的h-index為65（Google Scholar: https://scholar.google.com/citations?hl=en&user=gL9gR-4AAAAJ）。他在2019年和2020年被Web of Science（WoS）列為高引用研究者。他指導了許多研究學者獲得博士和碩士學位。他的研究得到了來自全球各競爭機構的資助支持。他的廣泛研究領域包括綠色計算和網絡管理、物聯網、大數據分析、深度學習和網絡安全。他還編輯或撰寫了10本與國際/國內出版商如IET、Springer、Elsevier、CRC合作的書籍。《電子健康記錄的安全性和隱私：概念、範式和解決方案》（ISBN-13: 978-1-78561-898-7）、《認知物聯網的機器學習》（CRC Press）、《區塊鏈、大數據和機器學習》（CRC Press）、《各行業區塊鏈技術》（Elsevier）、《物聯網應用的多媒體大數據計算：概念、範式和解決方案》（ISBN: 978-981-13-8759-3）、《第一屆國際計算、通信和網絡安全會議（IC4S 2019）論文集》（ISBN 978-981-15-3369-3）、《基於區塊鏈的物聯網應用的概率數據結構》（CRC Press）。他編輯的教科書《物聯網應用的多媒體大數據計算：概念、範式和解決方案》於2019年在Springer出版，自2020年6月6日以來已下載350萬次，吸引了全球研究者的關注（https://www.springer.com/in/book/9789811387586）。

他擔任《ACM Computing Survey》、《IEEE可持續計算期刊》、《IEEE系統期刊》、《IEEE網絡雜誌》、《IEEE通信雜誌》、《Elsevier網絡與計算機應用期刊》、《Elsevier計算機通信》、《Wiley國際通信系統期刊》的編輯。他還組織了多個來自IEEE、Elsevier、Springer的知名期刊的特刊。他曾擔任IEEE Globecom 2018、IEEE Infocom 2020（https://infocom2020.ieee-infocom.org/workshop-blockchain-secure-software-defined-networking-smart-communities）和IEEE ICC 2020（https://icc2020.ieee-icc.org/workshop/ws-06-secsdn-secure-and-dependable-software-defined-networking-sustainable-smart）的研討會主席，以及IEEE MSN 2020的安全性和隱私的追蹤主席（https://conference.cs.cityu.edu.hk/msn2020/cf-wkpaper.php）。他還是多個國際會議的TPC主席和成員，如IEEE MASS 2020、IEEE MSN2020。他在2018年獲得IEEE系統期刊和IEEE ICC 2018（堪薩斯城）的最佳論文獎，並在過去八年中每年獲得母組織的最佳研究者獎。

加根吉特·辛格·奧吉拉（Gagangeet Singh Aujla）：

加根吉特·辛格·奧吉拉博士是達勒姆大學的計算機科學助理教授。在此之前，他曾在紐卡斯爾大學擔任博士後研究助理，在塔帕爾大學（印度）擔任研究助理，在克拉根福大學（奧地利）擔任訪問研究員，並在各種學術職位上工作了十多年。他在塔帕爾大學（印度獲得博士學位），在旁遮普技術大學（印度）獲得碩士和學士學位。因其在可擴展和可持續計算領域的貢獻，他獲得了2018年IEEE TCSC傑出博士論文獎。其研究的主要主題是能源高效、可重構、韌性和智能表面（智慧城市、智慧電網、物聯網邊緣雲系統、醫療系統、交通系統）。為了提升自己的研究能力，他參與了由EPSRC、印度科學技術部和奧地利聯邦教育、科學和研究部頒發的各種研究項目，這促進了他與來自英國、美國、加拿大、澳大利亞、中國、奧地利、巴西和印度的國際研究者的合作。該小組在軟體定義網絡、能源高效雲數據中心、邊緣雲計算、區塊鏈等領域發表了多篇研究論文，特別專注於創建可重構、韌性和智能表面。他帶領團隊組織了與不同IEEE通信學會會議（如IEEE Infocom、IEEE Globecom、IEEE ICC等）相關的研討會（SecSDN和BlockSecSDN）。作為對研究社群的貢獻，他擔任《Ad-hoc Networks》的副編輯、《Sensors》的主題編輯、《IEEE工業信息學期刊》、《IEEE網絡》、《Neural Computing and Applications》（Springer）、《Computer Communications》（Elsevier）和《Transactions on Emerging Telecommunications》（Wiley）的客座編輯。