Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications
暫譯: 智能數據驅動的建模與優化在電力與能源應用中的應用

本書提供了對於如何使用智能數據驅動技術來建模、控制和優化各種電力和能源應用的全面理解。其目標是開發多個數據驅動模型，以預測可再生能源來源，並解釋這些技術相較於第一原則建模方法的好處。通過這樣做，本書旨在激發對數據驅動模型中計算智能方法的深入見解，並促進其在電力和能源領域的潛在應用。其主要特點包括：

- 專門針對數據驅動模型的基本預處理方法的獨家章節
- 對數據驅動模型在電力系統規劃和運營活動中的應用進行詳細概述
- 專注於開發可再生能源發電（如太陽能光伏和風能）的預測模型
- 展示優化和分數微積分等相關數學處理在基於數據驅動模型框架中的明智融合

本書提出了在電力和能源領域應用數據驅動模型的新概念，適合研究生、行業專業人士、研究人員和學術人員。

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）是印度大諾伊達 Galgotias 大學工程學院的教授及研究副院長。他在卡納塔克邦國立技術學院（National Institute of Technology Karnataka, Surathkal）獲得博士學位。在博士期間，他的卓越研究工作使他獲得了由電力系統運營公司（Power System Operation Corporation Limited）與德里印度理工學院（IIT Delhi）合作頒發的 2019 年 POSOCO 電力系統獎。因其在 2017 至 2019 年間的出版物，他獲得了奧迪沙邦 BPUT 的 2019 年大學創校日研究獎。他擁有 30 篇 SCI 期刊發表和 50 篇國際會議發表，並撰寫了 10 篇書章。他共同編寫了一本名為《Power System Analysis: Operation and Control》的教科書，出版於 I.K. International Publishing House Pvt. Ltd.，並為 CRC Press 編輯了兩本書。他是一位活躍的審稿人，已審閱超過 500 篇手稿。他是《Journal of Electrical Engineering & Technology》和《International Journal of Power and Energy Systems》的副編輯，並擔任以下期刊的學術編輯：（i）《Mathematical Problems in Engineering》，（ii）《International Transactions on Electrical Energy Systems》，（iii）《Journal of Electrical and Computer Engineering》。他以期刊編輯的身份處理了超過 200 篇手稿。他的研究興趣包括數據預處理、時間序列預測、高維依賴建模，以及將機器學習和概率方法應用於電力系統問題。

**Neeraj Gupta** 在印度羅爾基的印度理工學院（Indian Institute of Technology Roorkee）獲得電力系統的博士學位。他是 IEEE 的高級會員。他曾於 2008 至 2009 年在 Thapar 大學任教，2015 年在印度艾哈邁達巴德的 Adani 基礎設施工程學院任教，2015 至 2018 年在 NIT Hamirpur 任教，目前在印度查謨和克什米爾的國立技術學院電氣工程系擔任助理教授。他的研究成果已發表於 IEEE、Elsevier 等知名 Q-1 國際期刊。他目前指導四名博士生專注於電力系統領域，並監督過八篇碩士論文和四篇學士論文。他擁有超過 40 篇 SCI 期刊發表、會議發表和書章。他編輯了三本書，分別是《Control of Standalone Microgrid》（Elsevier 2021）、《Renewable Energy Integration to the Grid: A Probabilistic Perspective》（CRC Press 2022）和《Smart Electrical and Mechanical Systems: An Application Publisher》（Elsevier 2022）。自 2015 年以來，他一直是活躍的審稿人，已審閱 200 篇提交至知名 SCI 索引期刊/會議的手稿。他在印度的各個組織中發表了 15 場受邀專家演講，並擔任多個知名會議的科學顧問/組織秘書。他是 IEEE、Elsevier、Taylor and Francis、IET 等知名期刊的審稿人。他於 2021 年被史丹佛大學列入全球前 2% 高被引科學家的名單，專注於電力領域。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、人工智慧、機器學習、預測等。

**Kishore Bingi** 於 2012 年在印度安得拉邦 Guntur 的 Acharya Nagarjuna 大學獲得電氣與電子工程的學士學位。2014 年，他在印度卡利卡特國立技術學院獲得儀器與控制系統的碩士學位，並於 2019 年在馬來西亞的 Universiti Teknologi PETRONAS 獲得電氣與電子工程的博士學位。2014 至 2015 年，他在 TATA Consultancy Services Limited 擔任助理系統工程師。2019 至 2020 年，他在馬來西亞的 Universiti Teknologi PETRONAS 擔任研究科學家和博士後研究員。2020 至 2022 年，他在印度維洛爾技術學院電氣工程學院的過程控制實驗室擔任助理教授。自 2022 年以來，他在馬來西亞 Perak 的 Universiti Teknologi PETRONAS 電氣與電子工程系任教。他的研究領域包括開發分數階神經網絡，包括分數階系統和控制器、混沌預測和預報，以及先進的混合優化技術。他是 IEEE 和 IET 會員，並持有英國工程委員會的特許工程師（CEng）資格。

**Rakesh Sehgal** 目前在國立技術學院（NIT Hamirpur, H.P.）擔任教授（HAG），在此之前他曾擔任國立技術學院的院長超過五年。Sehgal 教授以優異成績獲得安納馬萊大學（Annamalai University, T.N.）工程與技術學院的機械工程學士學位，並在德里印度理工學院獲得機械設備設計的碩士學位，CGPA 為 9.75，並在設計領域獲得第一名，隨後在庫魯克舍特拉大學（Kurukshetra University）的 R.E.C. 獲得摩擦學的博士學位。他在 2009 至 2011 年期間獲得 UGC 獎學金，進行非圓形水動軸承的熱行為的博士後研究，並為橢圓形和偏心水動軸承開發了薄膜厚度方程。Sehgal 教授在該領域擁有 38 年的卓越職業生涯，涵蓋教學、研究和管理。他已指導 11 名博士生和 1 名博士後研究員，專注於摩擦材料、主動振動控制和非圓形軸承的熱分析，應用於汽車、航空航天和金屬轧制等行業。他目前指導七名博士生，專注於材料的摩擦學。他在國際/國內期刊和會議上發表了 178 篇研究論文、6 本參考書籍、3 項專利和 22 篇高品質書章。他已完成 6 項高價值研究項目（5 項國內和 1 項國際），目前正在處理 3 項（1 項國內和 2 項國際）項目。他參加了超過 35 項國際/國內會議，無論是在印度還是國外。