Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications

本書提供了對智能數據驅動技術如何用於建模、控制和優化各種電力和能源應用的全面理解。

B Rajanarayan Prusty (Senior Member, IEEE) is a Professor and Associate Dean Research in the School of Engineering, Galgotias University, Greater Noida, India. He obtained his Ph.D. from the National Institute of Technology Karnataka, Surathkal. His exceptional research work during his Ph.D. has led him to win the prestigious POSOCO Power System Awards for 2019 by Power System Operation Corporation Limited in partnership with IIT Delhi. In recognition of his publications from 2017 to 2019, he was awarded the University Foundation Day Research Award 2019 from BPUT, Rourkela, Odisha. He has 30 SCI journal publications and 50 international conference publications. He has authored 10 book chapters. He has co-authored a textbook entitled Power System Analysis: Operation and Control in I. K. International Publishing House Pvt. Ltd. He has also edited two books for CRC Press. He has been an active reviewer and has reviewed more than 500 manuscripts. He is the Associate Editor of the Journal of Electrical Engineering & Technology and the International Journal of Power and Energy Systems. He is also the Academic Editor for the journals (i) Mathematical Problems in Engineering, (ii) International Transactions on Electrical Energy Systems, and (iii) Journal of Electrical and Computer Engineering. He has handled more than 200 manuscripts in the capacity of Journal Editor. His research interests include data preprocessing, time series forecasting, high-dimensional dependence modelling, and applying machine learning and probabilistic methods to power system problems.

Neeraj Gupta obtained his Ph.D. in power systems from the Indian Institute of Technology Roorkee, Roorkee, India. He is a senior member of IEEE. He was a faculty with Thapar University, from 2008 to 2009, Adani Institute of Infrastructure Engineering, Ahmedabad, India, in 2015 and NIT Hamirpur from 2015 to 2018, and presently, he has been working as Assistant Professor with the Electrical Engineering Department, National Institute of Technology, Srinagar, J&K, India. His work has been published in Q-1 international journals of repute like IEEE, Elsevier, etc. He is presently guiding four Ph.D. scholars in the area of power systems. He has also supervised eight M.Tech. and four B.Tech. dissertations. He has more than 40 SCI journal publications/conference publications/book chapters to his credit. He has edited three books titled Control of Standalone Microgrid (Elsevier 2021), Renewable Energy Integration to the Grid: A Probabilistic Perspective (CRC Press 2022), and Smart Electrical and Mechanical Systems: An Application Publisher (Elsevier 2022). He has been an active reviewer since 2015 and has reviewed 200 manuscripts submitted to repute SCI-indexed journals/conferences. He has delivered 15 invited expert talks in various organizations in India. He is also the scientific advisory/organizing secretary of many reputed conferences in the country. He is a referee of reputed journals of IEEE, Elsevier, Taylor and Francis, IET, and so on. He has been included in the list of top 2% highly cited scientists by Stanford University working in power in 2021. His research interests include the uncertainty quantification of power system; probabilistic power system; solar, wind, and electric vehicle technologies; artificial intelligence; machine learning; prediction; and so on.

Kishore Bingi received his B.Tech. degree in Electrical and Electronics Engineering from Acharya Nagarjuna University, Guntur, Andhra Pradesh, India, in 2012. He received his M.Tech. degree in Instrumentation and Control Systems from the National Institute of Technology Calicut, India, in 2014, and a Ph.D. in Electrical and Electronic Engineering from Universiti Teknologi PETRONAS, Malaysia, in 2019. From 2014 to 2015, he worked as Assistant Systems Engineer at TATA Consultancy Services Limited, India. From 2019 to 2020, he worked as Research Scientist and Post-Doctoral Researcher at the Universiti Teknologi PETRONAS, Malaysia. From 2020 to 2022, he served as Assistant Professor at the Process Control Laboratory, School of Electrical Engineering, Vellore Institute of Technology, Vellore, India. Since 2022, he has been working as a faculty member at the Department of Electrical and Electronic Engineering at Universiti Teknologi PETRONAS, Seri Iskandar, Perak, Malaysia. His research area is developing fractional-order neural networks, including fractional-order systems and controllers, chaos prediction and forecasting, and advanced hybrid optimization techniques. He is an IEEE and IET Member and a registered Chartered Engineer (CEng) from the Engineering Council, UK.

Rakesh Sehgal is currently working as Professor (HAG) at the National Institute of Technology, Hamirpur (H.P.), after serving as Director of the National Institute of Technology for more than five years. Prof. Sehgal received his B.E. degree in Mechanical Engineering with distinction from the Faculty of Engineering & Technology, Annamalai University (T.N.), M.Tech. in Design of Mechanical Equipment from IIT Delhi with 9.75 CGPA securing the first position in Design stream and Ph.D. in Tribology from R.E.C. Kurukshetra, Kurukshetra University. He pursued Post-Doctorate in the area of thermal behaviour of non-circular hydrodynamic journal bearings under the UGC Fellowship Award between 2009 and 2011 and developed film thickness equations for elliptical and off-set halves hydrodynamic journal bearings. Prof. Sehgal has a distinguished career of 38 years in the field, teaching, research, and administration. Prof. Sehgal has supervised 11 Ph.D. scholars and 1 post-doctoral scholar in the area of tribo-materials, active vibration control, and thermal analysis of non-circular journal bearings for various industrial applications in automobile, aerospace, and metal rolling sectors. He is presently guiding seven Ph.D. scholars in the area of material's tribology. He has published 178 research papers in international/national journals and international/national conference proceedings, 6 reference books, 3 patents, and 22 high-quality book chapters. Prof. Sehgal has completed 6 high-value research projects (5 national and 1 international) and is currently handling 3 (1 national and 2 international) projects. He has attended more than 35 international/national conferences in India and abroad.

B Rajanarayan Prusty（IEEE高級會員）是印度Greater Noida的Galgotias大學工程學院的教授和副院長（研究）。他在印度國家技術卡納塔克邦蘇拉特卡爾的國家技術學院獲得博士學位。他在博士期間的優秀研究工作使他贏得了由Power System Operation Corporation Limited與印度理工學院德里分校合作頒發的2019年POSOCO電力系統獎。鑑於他在2017年至2019年期間的出版物，他獲得了BPUT、Rourkela、Odisha頒發的2019年大學基金會日研究獎。他在SCI期刊上發表了30篇論文，並在國際會議上發表了50篇論文。他撰寫了10篇專書章節。他與I. K. International Publishing House Pvt. Ltd.合著了一本名為《電力系統分析：運營與控制》的教科書。他還為CRC Press編輯了兩本書。他一直是一位活躍的審稿人，審查了500多篇稿件。他是《電氣工程與技術期刊》和《國際電力與能源系統期刊》的副編輯。他還是《數學問題工程期刊》、《國際電氣能源系統交易期刊》和《電氣與計算機工程期刊》的學術編輯。他以期刊編輯的身份處理了200多篇稿件。他的研究興趣包括數據預處理、時間序列預測、高維度相依建模，以及應用機器學習和概率方法解決電力系統問題。

Neeraj Gupta在印度Roorkee的印度理工學院獲得了電力系統的博士學位。他是IEEE的高級會員。他曾在Thapar大學（2008年至2009年）、Adani基礎設施工程學院（2015年）和NIT Hamirpur（2015年至2018年）擔任教職，目前在印度J&K的國家技術學院的電氣工程系擔任助理教授。他的工作已發表在IEEE、Elsevier等國際知名期刊上。他目前在電力系統領域指導四位博士研究生。他還指導了八位碩士研究生和四位學士研究生的論文。他在SCI期刊/會議上發表了40多篇論文/專書章節。他編輯了三本書，分別是《獨立微電網控制》（Elsevier 2021）、《可再生能源融入電網：概率觀點》（CRC Press 2022）和《智能電氣和機械系統：應用出版社》（Elsevier 2022）。他自2015年以來一直是一位活躍的審稿人，審查了提交給知名SCI索引期刊/會議的200多篇稿件。他在印度的各個組織中發表了15次邀請專家演講。他還是該國許多知名會議的科學諮詢/組織秘書。他是IEEE、Elsevier、Taylor and Francis、IET等知名期刊的審稿人。他被斯坦福大學列為2021年在電力領域工作的2%高被引科學家之一。他的研究興趣包括電力系統的不確定性量化、概率電力系統、太陽能、風能和電動車技術、人工智能、機器學習、預測等。

Kishore Bingi於2012年從安得拉邦Guntur的Acharya Nagarjuna大學獲得電氣與電子工程學士學位。他於2014年從印度Calicut的國家技術學院獲得儀器與控制系統的碩士學位，並於2019年從馬來西亞的Universiti Teknologi PETRONAS獲得電氣與電子工程的博士學位。他在2014年至2015年期間在TATA Consu擔任助理系統工程師。