Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things

The text provides sustainable energy solutions using smart technologies such as artificial intelligence, blockchain technology, and the Internet of Things. It further presents several case studies on applications of the Internet of Things, artificial intelligence, and blockchain technology in the field of sustainable energy.

• Focuses on the integration of smart technology including artificial intelligence and sustainable energy
• Covers recent advancements in energy management techniques used in residential and commercial energy systems
• Highlights the use of artificial intelligence, machine learning, and their applications in sustainable energy
• Discusses important topics such as green energy, grid modernization, smart security in the power grid, and fault diagnosis
• Presents case studies on the applications of the Internet of Things, blockchain, and artificial intelligence in sustainable energy

The text showcases the latest advancements, and the importance of technologies including artificial intelligence, blockchain, and Internet of Things in achieving sustainable energy systems. It further discusses the role of machine learning, applied deep learning, and edge computing in renewable energy. The text cover key concepts such as intelligent battery management system, energy trading, green energy, grid modernization, electric vehicles, and charging station optimization. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering, and environmental engineering.

本書提供了使用智能技術（如人工智能、區塊鏈技術和物聯網）的可持續能源解決方案。它進一步介紹了物聯網、人工智能和區塊鏈技術在可持續能源領域的應用案例。

• 專注於智能技術（包括人工智能）與可持續能源的整合


• 涵蓋了住宅和商業能源系統中使用的最新能源管理技術


• 強調了人工智能、機器學習及其在可持續能源中的應用


• 討論了重要主題，如綠色能源、電網現代化、電網智能安全和故障診斷


• 介紹了物聯網、區塊鏈和人工智能在可持續能源中的應用案例

本書展示了人工智能、區塊鏈和物聯網等技術在實現可持續能源系統中的最新進展和重要性。它進一步討論了機器學習、應用深度學習和邊緣計算在可再生能源中的作用。本書涵蓋了智能電池管理系統、能源交易、綠色能源、電網現代化、電動車和充電站優化等關鍵概念。它將成為高年級本科生、研究生和電氣工程、電子與通信工程、計算機工程和環境工程等領域的學術研究人員的理想參考書。

Dr. Arpit Jain currently working as an AI Practitioner at QpiAI India Pvt. Ltd., India. A multidisciplinary engineer having experience in Machine Learning, Data Science, Control System and Fuzzy Logic systems with an excellent vision towards industry focused education and state of art consulting solutions. A seasoned academician having 12+ years of diverse experience in academics, edtech and IT consulting domain. Worked as Assistant Professor for 10 years at UPES India, a part of Global University System (GUS), Netherlands. Research profile includes Indin patents, research articles in SCI/ Scopus indexed Journals, and edited books with IEEE, Emerald, RIVER, CRC and many other reputed publishing house. He received his B.Eng. degree from SVITS, Indore, in 2007 and M.Eng. from Thapar University, Patiala in 2009, Ph. D. from UPES, India in 2018..

Dr. Abhinav Sharma is presently working as an Assistant Professor (Selection Grade) in the department of Electrical & Electronics Engineering in University of Petroleum & Energy Studies (UPES). He received his B.Tech. degree from H. N. B. Garhwal University, Srinagar, India in 2009 and the M.Tech. and Ph. D. degree from Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, India in 2011 and 2016. He has a rich teaching and diversified research experience. The areas of his research interests include Signal Processing and Communication, Smart Antennas, Artificial Intelligence and Machine Learning. He has published research articles in SCI/ Scopus indexed Journals and in National and International conferences.

Dr. Vibhu Jately received his Ph.D. degree from G. B. Pant University, Pantnagar, India. Following that, he worked as an Assistant Professor under United Nations Development Program within the Department of Electrical and Computer Engineering at Wollo University, Ethiopia. After that he worked as a Post-Doctoral Research Fellow for two years at MCAST Energy Research Group, Malta where he was a Task Leader of European H2020 projects. Currently he is working as an Assistant Professor (Selection Grade) within the Department of Electrical & Electronics Engineering at the University of Petroleum & Energy Studies, Dehradun, India. He has over 8 years of teaching and research experience. His area of interest includes power electronics applications in renewable energy systems and has worked in formulating MPPT algorithms, control strategies in grid integration of PVs, microgrids and optimization algorithms in PV applications. He is an active researcher and has published several research articles in top-quality peer-reviewed journals and international conferences.

Dr. Brian Azzopardi received the BEng (Hons) from UM and PhD from The University of Manchester in 2011. He also received teaching and pedological qualifications from MCAST (2008) and PGCHE from Oxford Brookes University (2012). He is currently working with Malta College of Arts, Science and Technology (MCAST), Visiting Senior Lecturer at the University of Malta (UM) and Consultant. Since 2011, he held senior academic and research positions in United Kingdom and Lithuania, and have served the industry, governments agencies and ministries and research since 1998. He is a Senior Member IEEE and member of the IET, EI, RSC and Chamber of Engineers. In 2008, he received the Eur. Ing. title followed by the CEng and the EI Chartered Energy Engineer titles in 2012. He is an editor and co-author of two books, 100+ research papers in peer-reviewed impact listed journals and conferences, and invited speaker.

Dr. Arpit Jain目前在印度的QpiAI India Pvt. Ltd.擔任AI實踐者。他是一位多學科工程師，擁有機器學習、數據科學、控制系統和模糊邏輯系統方面的經驗，對行業專注的教育和最先進的咨詢解決方案有出色的視野。作為一位經驗豐富的學者，他在學術界、教育科技和IT咨詢領域擁有12年以上的多樣化經驗。他曾在UPES India擔任助理教授10年，該學校是全球大學系統（GUS）的一部分，總部位於荷蘭。他的研究領域包括印度專利、SCI/ Scopus索引期刊的研究文章，以及與IEEE、Emerald、RIVER、CRC和其他知名出版社合作編輯的書籍。他於2007年在SVITS, Indore獲得工學學士學位，2009年在Thapar University, Patiala獲得工學碩士學位，2018年在UPES, India獲得博士學位。

Dr. Abhinav Sharma目前在印度Petroleum & Energy Studies (UPES)大學的電氣與電子工程系擔任助理教授（選拔級）。他於2009年在H. N. B. Garhwal大學獲得學士學位，2011年和2016年在Govind Ballabh Pant農業和技術大學獲得碩士和博士學位。他在教學和多元化研究方面擁有豐富的經驗。他的研究興趣包括信號處理和通信、智能天線、人工智能和機器學習。他在SCI/ Scopus索引期刊和國際國內會議上發表了研究文章。

Dr. Vibhu Jately在印度G. B. Pant大學獲得博士學位後，曾在埃塞俄比亞Wollo大學的電氣和計算機工程系擔任聯合國開發計劃的助理教授。之後，他在馬爾他的MCAST能源研究小組擔任博士後研究員兩年，並擔任歐洲H2020項目的任務負責人。目前，他在印度Petroleum & Energy Studies大學的電氣與電子工程系擔任助理教授（選拔級）。他擁有8年以上的教學和研究經驗。他的研究興趣包括可再生能源系統中的功率電子應用，並致力於制定最大功率點跟蹤算法、光伏系統的電網接入控制策略、微型電網和光伏應用中的優化算法。他是一位活躍的研究人員，在高質量的同行評審期刊和國際會議上發表了多篇研究文章。

Dr. Brian Azzopardi於2011年從UM獲得BEng（榮譽）學位，並於同年從曼徹斯特大學獲得博士學位。他還在2008年從MCAST獲得教學和教育學資格，並於2012年從牛津布魯克斯大學獲得PGCHE學位。他目前在馬爾他藝術、科學和技術學院（MCAST）工作，並擔任馬爾他大學（UM）的客座高級講師和顧問。自2011年以來，他在英國和立陶宛擔任高級學術和研究職位，並在1998年以來一直為行業、政府機構、部門和研究工作。他是IEEE的高級會員，也是IET、EI、RSC和工程師協會的成員。2008年，他獲得了Eur. Ing.頭銜，並於2012年獲得了CEng和EI特許能源工程師頭銜。他是兩本書的編輯和合著者，發表了100多篇同行評審的期刊和會議研究論文，並擔任邀請演講者。