商品描述
This book provides a comprehensive exploration of cutting-edge research in electric vehicles (EVs) integrated smart energy systems with a main focus on the application of artificial intelligence (AI). This book offers a wide and comprehensive practical approach with the applications of AI to address the challenges and opportunities of modern hybrid energy systems for developing advanced hybrid intelligent methodologies for forecasting and scheduling variable power output from renewable energy sources (RESs) and EVs. This will enhance system flexibility and facilitate the integration of RESs and EVs efficiently, which is a step towards a sustainable future. The chapters cover diverse topics offering valuable knowledge and methodologies including an introduction to Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), Cybersecurity, and their applications in modern power and energy systems, intelligent control of power electronics for RESs and EVs, intelligent charging management of EVs, etc. This book aims to provide insights into various suitable solutions to increase the security, reliability, and interoperability of the grid under high penetration of renewable energy, storage systems, and electric transport in the context of the modern smart grid. The multi-objective optimization problems such as economic and emission dispatch problems; flexibility and reliability problems; and economic and reliability problems are solved to determine the trade-off solutions using efficient evolutionary algorithms. The chapters cover diverse topics offering valuable knowledge and methodologies including an introduction to Artificial Intelligence (AI), Machine Learning (ML), IoT, Cybersecurity, and their applications in modern power and energy systems, intelligent control of power electronics for RESs and EVs, intelligent charging management of EVs, etc.
商品描述(中文翻譯)
本書全面探討了電動車（EVs）與智慧能源系統整合的前沿研究，主要聚焦於人工智慧（AI）的應用。本書提供了廣泛且全面的實務方法，利用AI應對現代混合能源系統的挑戰與機會，旨在開發先進的混合智能方法論，以預測和排程來自可再生能源來源（RESs）和電動車的變化電力輸出。這將增強系統的靈活性，並有效促進RESs和EVs的整合，邁向可持續的未來。各章節涵蓋多樣主題，提供寶貴的知識和方法論，包括人工智慧（AI）、機器學習（ML）、物聯網（IoT）、網路安全及其在現代電力和能源系統中的應用、可再生能源和電動車的電力電子智能控制、電動車的智能充電管理等。
本書旨在提供各種適合的解決方案，以提高在高滲透可再生能源、儲能系統和電動運輸背景下，智慧電網的安全性、可靠性和互操作性。多目標優化問題，如經濟與排放調度問題、靈活性與可靠性問題，以及經濟與可靠性問題，將透過有效的進化演算法來解決，以確定權衡解決方案。各章節涵蓋多樣主題，提供寶貴的知識和方法論，包括人工智慧（AI）、機器學習（ML）、物聯網（IoT）、網路安全及其在現代電力和能源系統中的應用、可再生能源和電動車的電力電子智能控制、電動車的智能充電管理等。
作者簡介
Surender Reddy Salkuti has been working with Woosong University, Daejeon, Republic of Korea as an Associate Professor in the Department of Railroad and Electrical Engineering since April 2014. He received a Ph.D. degree in Electrical Engineering from the Indian Institute of Technology Delhi (IITD), New Delhi, India, in 2013. He was a Postdoctoral Researcher at Howard University, Washington, DC, USA, from 2013 to 2014. His research interests include power system restructuring issues, smart grid development with the integration of wind and solar photovoltaic energy sources, battery storage, and electric vehicles, demand response, power system analysis and optimization, artificial intelligence and soft computing techniques application in power systems, and renewable energy. He has published three edited volumes with Springer (LNEE and GREEN) and over 300 research articles in peer-reviewed international journals and conference proceedings. He served as Guest Editor for various international journals. He is also an editorial board member for many journals. He is the recipient of the 2016 Distinguished Researcher Award from Woosong University Educational Foundation, Republic of Korea, and the POSOCO Power System Award (PPSA) 2013, India. He is listed in the top 2% of scientists published in a study conducted by researchers of ICSR Lab, Elsevier BV & Stanford University, USA. He has Google Scholar citations of 6839 with an h-index of 41 and an i10-index of 150. He is a Member of IEEE and IEEE Power and Energy Society.
作者簡介(中文翻譯)
Surender Reddy Salkuti 自2014年4月以來在韓國大田的烏松大學擔任鐵路與電氣工程系的副教授。他於2013年在印度德里印度理工學院（IITD）獲得電氣工程博士學位。2013年至2014年期間，他在美國華盛頓特區的霍華德大學擔任博士後研究員。他的研究興趣包括電力系統重組問題、智慧電網的發展（整合風能和太陽能光伏能源）、電池儲存和電動車、需求響應、電力系統分析與優化、人工智慧及軟計算技術在電力系統中的應用，以及可再生能源。他已與Springer出版三本編輯書籍（LNEE和GREEN），並在國際同行評審期刊和會議論文集中發表超過300篇研究文章。他曾擔任多本國際期刊的客座編輯，並且是多個期刊的編輯委員會成員。他是2016年獲得韓國烏松大學教育基金會頒發的傑出研究獎及2013年印度POSOCO電力系統獎（PPSA）的得主。他在由Elsevier BV和美國史丹佛大學的ICSR實驗室研究人員進行的研究中被列為前2%的科學家。他的Google Scholar引用次數為6839，h-index為41，i10-index為150。他是IEEE及IEEE電力與能源學會的成員。
