Renewable Energy Optimization, Planning and Control (eBook)

Proceedings of ICRTE 2022

Anita Khosla, Mohan Kolhe (Herausgeber)

eBook Download: PDF

2023 | 2023
XVI, 466 Seiten
Springer Nature Singapore (Verlag)
978-981-19-8963-6 (ISBN)

Infos

This book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2022) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during October 7-8, 2022. The book includes conference papers on the theme 'Computational Techniques for Renewable Energy Optimization,' which aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of renewable energy integration, planning, control, and optimization. It also provides a premier interdisciplinary platform for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of renewable energy and resources.

Dr. Anita Khosla is presently working as Professor in the Department of Electrical and Electronics Engineering at, Manav Rachna International Institute of Research and Studies, University, Faridabad. She has rich experience of 27 years in teaching. She did her B.Tech. in Electrical Engineering from National Institute of Technology, Kurukshetra, and Ph.D. in Control Systems (Electrical Engineering) from MRIIRS. She has guided 04 Ph.D. scholars and guiding 06 at present. She is Fellow IE(I), Senior Member IEEE, and Life Member of ISTE, India. She is Author of three books. She has attended and organized many workshops, FDPs, and seminars. She has also been Session Speaker in many conferences. She is Editor of two books Renewable Energy Optimization, Planning and Control & Smart Structures in Energy Infrastructure published by Springer which are proceedings of ICRTE 2021. She has published more than 50 research papers in national and international journals of high repute and conferences. She is instrumental in setting up of Authorized Training Centre for Automation in collaboration with Mitsubishi Electric India and is Director for the same. 

Prof. Dr. Mohan Lal Kolhe is Full Professor in smart grid and renewable energy at the Faculty of Engineering and Science of the University of Agder (Norway). He is Leading Renewable Energy Technologist with three decades of academic experience at the international level and previously held academic positions at the world's prestigious universities, e.g., University College London (UK/Australia), University of Dundee (UK); University of Jyvaskyla (Finland); Hydrogen Research Institute, QC (Canada); etc. In addition, he was Member of the Government of South Australia's first Renewable Energy Board (2009-2011) and worked on developing renewable energy policies. Due to his enormous academic contributions to sustainable energy systems, he has been offered the posts of Vice-Chancellor of Homi Bhabha State University Mumbai (Cluster University of Maharashtra Government, India) and Full Professorship(s)/Chair(s) in 'sustainable engineering technologies/systems' and 'smart grid' from the Teesside University (UK) and Norwegian University of Science and Technology (NTNU), respectively. He is Series Editor of Springer Proceedings in Energy. His research works in energy systems have been recognized within the top 2% of scientists globally by Stanford University's 2020, 2021 matrix. He is Internationally Recognized Pioneer in energy field, whose top 10 published works have an average of over 175 citations each.

Produkt-Details

• Erscheint lt. Verlag: 7.3.2023
• Reihe/Serie: Studies in Infrastructure and Control
• Reihe/Serie: Studies in Infrastructure and Control
• Zusatzinfo: XVI, 466 p. 235 illus., 170 illus. in color.
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Algorithmen
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: Computational Techniques • Energy Storage and Transportation Systems • ICRTE 2022 Proceedings • Intelligent Power Use • machine learning • Renewable Energy Optimization • Soft-Computing
• ISBN-10: 981-19-8963-X / 981198963X
• ISBN-13: 978-981-19-8963-6 / 9789811989636