Hybrid Intelligent Approaches for Smart Energy: Practical Applications

Green technologies and cleaner energy are two of the most important topics facing our world today, and the march toward efficient energy systems, smart cities, and other green technologies, has been, and continues to be, a long and intricate one. Books like this one keep the veteran engineer and student, alike, up to date on current trends in the technology and offer a reference for the industry for its practical applications.

Energy optimization and consumption prediction are necessary to prevent energy waste, schedule energy usage, and reduce the cost. Today, smart computing technologies are slowly replacing the traditional computational methods in energy optimization, consumption, scheduling, and usage. Smart computing is an important core technology in today's scientific and engineering environment. Smart computation techniques such as artificial intelligence, machine learning, deep learning and Internet of Things (IoT) are the key role players in emerging technologies across different applications, industries, and other areas. These newer, smart computation techniques are incorporated with traditional computation and scheduling methods to reduce power usage in areas such as distributed environment, healthcare, smart cities, agriculture and various functional areas.

The scope of this book is to bridge the gap between traditional power consumption methods and modern consumptions methods using smart computation methods. This book addresses the various limitations, issues and challenges of traditional energy consumption methods and provides solutions for various issues using modern smart computation technologies. These smart technologies play a significant role in power consumption, and they are cheaper compared to traditional technologies. The significant limitations of energy usage and optimizations are rectified using smart computations techniques, and the computation techniques are applied across a wide variety of industries and engineering areas. Valuable as reference for engineers, scientists, students, and other professionals across many areas, this is a must-have for any library.

智慧能源的混合智能方法
綠色技術和清潔能源是當今世界上最重要的兩個議題之一，對於高效能源系統、智慧城市和其他綠色技術的發展，一直以來都是一個漫長而複雜的過程。像這本書一樣，它讓老練的工程師和學生們都能及時了解技術的最新趨勢，並為實際應用提供參考。

能源優化和消耗預測對於防止能源浪費、安排能源使用和降低成本是必要的。如今，智能計算技術正在逐漸取代傳統的計算方法，應用於能源優化、消耗、安排和使用方面。智能計算是當今科學和工程環境中的一項重要核心技術。人工智能、機器學習、深度學習和物聯網（IoT）等智能計算技術在不同應用、行業和其他領域的新興技術中扮演著關鍵角色。這些新的智能計算技術與傳統計算和安排方法相結合，以減少分散環境、醫療保健、智慧城市、農業和其他功能領域的能源使用。

本書的範圍在於利用智能計算方法來彌合傳統能源消耗方法和現代消耗方法之間的差距。本書解決了傳統能源消耗方法的各種限制、問題和挑戰，並利用現代智能計算技術提供解決方案。這些智能技術在能源消耗中起著重要作用，並且與傳統技術相比更經濟實惠。智能計算技術解決了能源使用和優化的重大限制，並在各種行業和工程領域應用。對於工程師、科學家、學生和其他專業人士來說，這本書是一個寶貴的參考資料，任何圖書館都必須擁有。

John A, PhD, is an assistant professor at Galgotias University, Greater Noida, India, and he received his PhD in computer science and engineering from Manonmaniam Sundaranar University, Tirunelveli, India. He has presented papers in various national and international conferences and has published papers in scientific journals.

Senthil Kumar Mohan, PhD, is an associate professor in the Department of Software and System Engineering at the School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India. He received his PhD in engineering and technology from Vellore Institute of Technology, and he has contributed to many research articles in various technical journals and conferences.

Sanjeevikumar Padmanaban, PhD, is a faculty member with the Department of Energy Technology, Aalborg University, Esbjerg, Denmark. He has almost ten years of teaching, research and industrial experience and is an associate editor on a number of international scientific refereed journals. He has published more than 300 research papers and has won numerous awards for his research and teaching.

Yasir Hamid, PhD, is an assistant professor in the Department of Information Security Engineering Technology at Abu Dhabi Polytechnic. He earned his PhD in 2019 from Pondicherry University in Computer Science and Engineering. Before joining ADPOLY, he was an assistant professor in the Department of Computer Science, Islamic University of Science and Technology, India. He is an editorial board member on many scientific and technical journals.

John A, 博士, 是印度Greater Noida的Galgotias大學的助理教授，他在印度Tirunelveli的Manonmaniam Sundaranar大學獲得了計算機科學和工程的博士學位。他在各種國家和國際會議上發表了論文，並在科學期刊上發表了論文。

Senthil Kumar Mohan, 博士, 是印度Vellore的Vellore Institute of Technology信息技術和工程學院軟件和系統工程系的副教授。他在Vellore Institute of Technology獲得了工程和技術的博士學位，並在各種技術期刊和會議上發表了許多研究文章。

Sanjeevikumar Padmanaban, 博士, 是丹麥Esbjerg的Aalborg大學能源技術系的教職員。他擁有近十年的教學、研究和工業經驗，並擔任多個國際科學期刊的副編輯。他發表了300多篇研究論文，並因其研究和教學而獲得了眾多獎項。

Yasir Hamid, 博士, 是阿布達比理工學院信息安全工程技術系的助理教授。他於2019年從Pondicherry大學獲得計算機科學和工程的博士學位。在加入ADPOLY之前，他曾是印度伊斯蘭科學與技術大學計算機科學系的助理教授。他是許多科學和技術期刊的編輯委員會成員。