Intelligent Energy Management Technologies

ICAEM 2019
1. Auflage 2021
ISBN: 978-981-15-8819-8
Verlag: Springer

Buch, Englisch, 470 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 887 g

Reihe: Algorithms for Intelligent Systems

This book is a collection of best selected high-quality research papers presented at the International Conference on Advances in Energy Management (ICAEM 2019) organized by the Department of Electrical Engineering, Jodhpur Institute of Engineering & Technology (JIET), Jodhpur, India, during 20–21 December 2019. The book discusses intelligent energy management technologies which are cost effective compared to the high cost of fossil fuels. This book also explains why these systems have beneficial impact on environmental, economic and political issues of the world. The book is immensely useful for research scholars, academicians, R&D institutions, practicing engineers and managers from industry.

Zielgruppe

Research

Autoren/Hrsg.

Shorif Uddin, Mohammad

Sharma, Avdhesh

Agarwal, Kusum Lata

Saraswat, Mukesh

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
• Technische Wissenschaften Energietechnik | Elektrotechnik Energietechnik & Elektrotechnik
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Energie- & Versorgungswirtschaft Energiewirtschaft: Alternative & Erneuerbare Energien
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Solar PV Based Electric Vehicle Charging System with Power Backup.- A Survey of Energy Theft Detection Approaches in Smart Meters.- Renewable Energy Conversion: Sustainable Energy Development and Efficiency Enhancement of Solar Panels: A review.- Evaluation of Thermal Degradation Behavior of Cardboard Waste.- Wavelength Optimization in Gigabit Passive Optical Network by Proposed Quad Play Architecture.- A Priority Based Deficit Weighted Round Robin Queuing for Dynamic Bandwidth Allocation Algorithm in Gigabit Passive Optical Network

Über Autor(innen)

Dr. Mohammad Shorif Uddin is a Professor of Computer Science and Engineering at Jahangirnagar University, Bangladesh. He completed his Bachelor of Science in Electrical and Electronic Engineering at BUET in 1991, Master of Technology Education at Shiga University, Japan, in 1999, Doctor of Engineering in Information Science at Kyoto Institute of Technology, Japan, in 2002, and an M.B.A. at Jahangirnagar University in 2013. He undertook postdoctoral researches at Bioinformatics Institute, Singapore, Toyota Technological Institute, Japan, Kyoto Institute of Technology, Japan, Chiba University, Japan, Bonn University, Germany, and Institute of Automation, Chinese Academy of Sciences, China. His research is motivated by applications in the fields of artificial intelligence, imaging informatics, and computer vision. He is the Editor-in-Chief of ULAB Journal of Science and Engineering and an Associate Editor of IEEE Access and has served as General Chair or Co-Chair of various conferences, including the IJCCI 2018 and 2019, EICT 2017, and IWCI 2016. He holds two patents for his scientific inventions, is a senior member of several academic and professional associations, and has published extensively in reputed international journals and conference proceedings.
Dr. Avdhesh Sharma is a Professor of Electrical Engineering at M.B.M. Engineering College, India. He completed his Ph.D. in Electrical Engineering at IIT, Delhi, M.Tech. in Computer Science & Data Processing at IIT, Kharagpur, M.Sc. at AMU, and B.Sc. in Electrical Engineering at D.E.I. Engineering College, India.  He has over 33+ years of experience in teaching and research. He has published around 75 papers in international journal and conference proceedings. He guided a good number of PG and Ph.D. students. He is a Fellow of the Institute of Engineers, India.
Dr. Kusum Lata Agarwal is a Professor and Head of Electrical Engineering at JIET, Jodhpur, India.She completed her Ph.D., M.E., and B.E. degrees at M.B.M. Engineering College, India.  She has over 18 years of experience in teaching and research. She published around 30 papers in journal and conference proceedings. She supervised a good number of PG theses. She played a key role in organizing 4 national and international conferences and also achieved notable research grants. She is in the reviewer panel of many journals and conferences.
Dr. Mukesh Saraswat is an Associate Professor of Computer Science & Engineering at Jaypee Institute of Information Technology, India. He completed his B.Tech. in CSE at MJP Rohilkhand University, M.Tech. in CSE at UPTU, and Ph.D. in CSE at IIITM, Gwalior, India. He has more than 15 years of teaching and research experience. He has guided more than 72 UG & PG theses and presently guiding 4 Ph.D. students. He is a member of several academic and professional bodies and has published more than 35 papers in journals and conference proceedings in the area of imaging, pattern recognition, and soft computing.