Sustainable Energy Resources in Smart Cities
暫譯: 智慧城市中的可持續能源資源
Ahmadian, Ali, Diabat, Ali, Almansoori, Ali
- 出版商: Springer
- 出版日期: 2025-09-27
- 售價: $5,620
- 貴賓價: 9.5 折 $5,339
- 語言: 英文
- 頁數: 224
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031915151
- ISBN-13: 9783031915154
-
相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
商品描述
This book offers an extensive examination of the operational and strategic considerations for sustainable energy within the context of smart cities, incorporating cutting-edge advancements in technology, protocols, implementation strategies, and the utilization of energy resources. It examines recent sustainability strategies formulated by various nations emphasizing worldwide application, accompanied by a thorough analysis of economic, technical, and environmental dimensions. The authors present a comprehensive exploration of energy provisioning and administration, underscoring the deployment of data analysis methodologies and tools, such as machine learning and deep learning-based approaches for practical energy management studies. Additionally, it showcases the application of mathematical programming in modeling real-world case studies, leveraging optimization techniques that have broad-reaching global relevance.
- Presents the latest developments in the application of sustainable energy resources in smart cities; Showcases machine learning and deep learning-based approaches for practical energy management; Includes international case studies.
商品描述(中文翻譯)
這本書深入探討了在智慧城市背景下可持續能源的運營和戰略考量,結合了尖端技術、協議、實施策略和能源資源的利用。它檢視了各國制定的最新可持續性策略,強調全球應用,並附有對經濟、技術和環境維度的全面分析。作者全面探討了能源供應和管理,強調了數據分析方法和工具的部署,例如基於機器學習和深度學習的方法,用於實際的能源管理研究。此外,書中展示了數學規劃在建模現實案例研究中的應用,利用優化技術,具有廣泛的全球相關性。
- 提供智慧城市中可持續能源資源應用的最新發展;
- 展示基於機器學習和深度學習的實際能源管理方法;
- 包含國際案例研究。
作者簡介
Ali Ahmadian, Ph.D., is a research associate with the Department of Chemical Engineering at the University of Waterloo, Canada. He holds a Ph.D. in Electrical Engineering with a strong background in power and energy systems analysis. He has published over 100 papers in journals and conference proceedings and received several national and international research awards. His research interests include transportation electrification, energy and environment, energy economics, and smart grid.
Ali Diabat, Ph.D. is a Global Network Professor of Civil and Urban Engineering at New York University Abu Dhabi. Before that, he was a Full Professor of Engineering Systems and Management at Masdar Institute of Science and Technology in Abu Dhabi. He received his B.Sc. degree in Mechanical Engineering from Jordan University of Science and Technology, his M.Sc. degree in Operations Research from North Carolina State University, and a Ph.D. in Industrial Engineering from Purdue University in 1999, 2003, and 2008, respectively. Dr. Diabat's research focuses on different applications of optimization and operations research, in particular, logistics and supply chain management, healthcare logistics optimization, and production planning. Dr. Diabat has published over 150 research journal papers (75 of them since he joined NYUAD in June 2017) and over 30 conference papers in leading journals and international conference proceedings. Many of his publications are co-authored with his graduate students and, in many cases, with national and international collaborators. Dr. Diabat's research has received about 5 million dollars of grant funding from different industries and collaborative proposals with academic institutions. His industry experience includes working in the oil shipping industry in the Hashemite Kingdom of Jordan. After that, he held a position as a business analyst at United Airlines and two positions as an operations research analyst in the banking and beverages industries, all in the United States. Dr. Diabat has received several teaching awards, including an Outstanding Graduate Instructor Award and an Excellence in Teaching Award from Purdue University in 2004 and 2006, respectively. Dr. Diabat was the recipient of the 2012 Excellence in Teaching Award from Masdar Institute, an achievement of special significance as it was the first award of its kind offered at the Institute. In 2014, he also received the Best Faculty Research Award from the Department of Engineering Systems and Management at Masdar Institute. The most recent award was The Best Engineering Teaching Award in 2022. Dr. Diabat is an Associate Editor of the SME Journal of Manufacturing Systems (JMS) and an Area Editor of the Journal of Computers and Industrial Engineering. He is a member of the Mohammed Bin Rashid Academy of Scientists (MBRAS), a platform for the science community within the UAE that includes a selection of scientists and experts foreseeing the future of developments in science and technology.
Ali Almansoori, Ph.D., is a Professor of Chemical Engineering and Associate Provost for Education at Khalifa University - Abu Dhabi. He holds a B.Sc. in Chemical Engineering with highest distinction from the Florida Institute of Technology, a Ph.D. in Chemical Engineering in Process Systems Engineering from Imperial College London, and an Executive MBA from London Business School. His specific research interests are in computer-aided modeling, optimization, and simulation with applications to energy system design, sustainable operations, and supply chain management. He has published over 90 journal articles (of which one appeared in Science magazine), co-authored seven book chapters, presented more than 60 conference papers in local and international conferences or workshops, and supervised over 20 graduate students. He was the principal investigator of more than ten projects sponsored by industry and academia. He is a theme lead at KU Research Innovation Center on CO2 and H2 (RICH) in H2 Energy Systems. He has received ten awards for his research contributions and impact on the scientific community, including the Mohammed Bin Rashid Medal for Scientific Excellence in 2019 and the 2021 Khalifa Award for Education in Higher Education. Along with his academic experience, Prof. Almansoori has eight years of administrative experience in higher education. He was the Chair of the Department of Chemical Engineering, the Dean of the College of Engineering, and the Interim Senior Vice President for Academic Affairs. He also managed the portfolio of policy and performance in higher education at the Executive Council of Abu Dhabi during his secondment in 2013.
Ali Elkamel, Ph.D., is a Professor of Chemical Engineering at Khalifa University- Abu Dhabi, UAE and at the University of Waterloo, Canada. Professor Elkamel holds a B.Sc. in Chemical Engineering and B.Sc. in Mathematics from Colorado School of Mines, an M.S. in Chemical Engineering from the University of Colorado Boulder, and a Ph.D. in Chemical Engineering from Purdue University. His specific research interests are in computer-aided modeling, optimization, and simulation with applications to energy production planning, carbon management, sustainable operations, and product design. He is currently focusing on research projects related to gas production and processing, integration of renewable energy in oil and gas operations, and using data analytics (digitalization), machine learning, and artificial intelligence (AI) to improve the process and enterprise-wide efficiency and profitability. Prof. Elkamel's activities include supervising post-doctorate and research associates, advising graduate and undergraduate students, and participating in university and professional societal activities. He is also engaged in initiating and leading academic and industrial teams and establishing international and regional research collaboration programs with industrial partners, national laboratories, and international research institutes. Prof. Elkamel has supervised over 70 graduate students and more than 25 post-doctoral research fellows. He has been funded for several research projects by the government and industry. He has more than 260 journal articles, 137 proceedings, and 30 book chapters and has been an invited speaker numerous times at academic institutions worldwide and national and international conferences. He has co-authored four books, including Planning of Refinery and Petrochemical Operations and Environmentally Conscious Fossil Energy Production.作者簡介(中文翻譯)
Ali Ahmadian, Ph.D. 是加拿大滑鐵盧大學化學工程系的研究助理。他擁有電機工程博士學位,並在電力與能源系統分析方面具有深厚的背景。他在期刊和會議論文中發表了超過100篇論文,並獲得了多項國內和國際研究獎項。他的研究興趣包括交通電氣化、能源與環境、能源經濟學以及智慧電網。
Ali Diabat, Ph.D. 是阿布達比紐約大學的全球網絡土木與城市工程教授。在此之前,他曾擔任阿布達比馬斯達科技學院的工程系統與管理全職教授。他在約旦科技大學獲得機械工程學士學位,在北卡羅來納州立大學獲得運籌學碩士學位,並於1999年、2003年和2008年分別在普渡大學獲得工業工程博士學位。Diabat博士的研究專注於優化和運籌學的不同應用,特別是物流與供應鏈管理、醫療物流優化和生產規劃。Diabat博士已在領先的期刊和國際會議論文集中發表了超過150篇研究論文(自2017年6月加入NYUAD以來有75篇),以及超過30篇會議論文。他的許多出版物與他的研究生共同撰寫,並且在許多情況下與國內外的合作者合作。Diabat博士的研究獲得了來自不同產業和學術機構的約500萬美元的資助。他的產業經驗包括在約旦哈希姆王國的石油運輸行業工作。之後,他在美國的美國聯合航空公司擔任商業分析師,並在銀行和飲料行業擔任兩個運籌學分析師職位。Diabat博士獲得了多項教學獎項,包括2004年和2006年普渡大學的傑出研究生講師獎和卓越教學獎。Diabat博士是2012年馬斯達科技學院卓越教學獎的獲得者,這是一項特別重要的成就,因為這是該學院首次頒發的此類獎項。2014年,他還獲得了馬斯達科技學院工程系統與管理系的最佳教學研究獎。最近的獎項是2022年的最佳工程教學獎。Diabat博士是SME Journal of Manufacturing Systems (JMS)的副編輯,以及Journal of Computers and Industrial Engineering的區域編輯。他是穆罕默德·本·拉希德科學家學院(MBRAS)的成員,該平台為阿聯酋的科學社群提供了一個選擇科學家和專家的平台,以預見科學和技術發展的未來。
Ali Almansoori, Ph.D. 是阿布達比哈利法大學的化學工程教授及教育副教務長。他擁有佛羅里達理工學院的化學工程學士學位(以最高榮譽畢業)、倫敦帝國學院的化學工程過程系統工程博士學位,以及倫敦商學院的高級工商管理碩士學位。他的具體研究興趣在於計算機輔助建模、優化和模擬,應用於能源系統設計、可持續運營和供應鏈管理。他已發表超過90篇期刊文章(其中一篇出現在Science雜誌上),共同撰寫了七章書籍,並在本地和國際會議或研討會上發表了超過60篇會議論文,並指導了超過20名研究生。他是十多個由產業和學術界贊助的項目的主要研究者。他是哈利法大學研究創新中心CO2和H2(RICH)主題負責人,專注於H2能源系統。他因其對科學社群的研究貢獻和影響獲得了十項獎項,包括2019年的穆罕默德·本·拉希德科學卓越獎和2021年高等教育哈利法獎。除了學術經驗外,Almansoori教授在高等教育領域擁有八年的行政經驗。他曾擔任化學工程系主任、工程學院院長以及學術事務臨時高級副總裁。他還在2013年借調期間管理阿布達比執行委員會的高等教育政策和績效組合。
Ali Elkamel, Ph.D. 是阿布達比哈利法大學和加拿大滑鐵盧大學的化學工程教授。Elkamel教授擁有科羅拉多礦業學院的化學工程學士學位和數學學士學位,科羅拉多大學博爾德分校的化學工程碩士學位,以及普渡大學的化學工程博士學位。他的具體研究興趣在於計算機輔助建模、優化和模擬,應用於能源生產規劃、碳管理、可持續運營和產品設計。他目前專注於與氣體生產和處理、可再生能源在石油和天然氣運營中的整合,以及利用數據分析(數位化)、機器學習和人工智慧(AI)來提高過程和企業整體效率及盈利能力的研究項目。Elkamel教授的活動包括指導博士後和研究助理、指導研究生和本科生,以及參與大學和專業社會活動。他還參與啟動和領導學術和產業團隊,並與產業夥伴、國家實驗室和國際研究機構建立國際和區域研究合作計劃。Elkamel教授已指導超過70名研究生和25名博士後研究員。他的多個研究項目獲得了政府和產業的資助。他擁有超過260篇期刊文章、137篇會議論文和30章書籍,並多次在全球學術機構和國內外會議上擔任特邀演講者。他共同撰寫了四本書籍,包括Planning of Refinery and Petrochemical Operations和Environmentally Conscious Fossil Energy Production。