Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications (PDF)
This book provides a comprehensive understanding of how intelligent data-driven techniques can be used for modelling, controlling, and optimizing various power and energy applications.
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This book provides a comprehensive understanding of how intelligent data-driven techniques can be used for modelling, controlling, and optimizing various power and energy applications.
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
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.
- 2024, 1. Auflage, 252 Seiten, Englisch
- Herausgegeben: B Rajanarayan Prusty, Neeraj Gupta, Kishore Bingi, Rakesh Sehgal
- Verlag: Taylor & Francis
- ISBN-10: 1040016111
- ISBN-13: 9781040016114
- Erscheinungsdatum: 09.05.2024
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- Dateiformat: PDF
- Größe: 28 MB
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