This book comprises select proceedings of the international conference ETAEERE 2020, and focuses on contemporary issues in energy management and energy efficiency in the context of power systems. The contents cover modeling, simulation and optimization based studies on topics like medium voltage BTB system, cost optimization of a ring frame unit in textile industry, rectenna for RF energy harvesting, ecology and energy dimension in infrastructural designs, study of AGC in two area hydro thermal power system, energy-efficient and reliable depth-based routing protocol for underwater wireless sensor network, and power line communication. This book can be beneficial for students, researchers as well as industry professionals.
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Comparative study of job scheduling algorithms in Grid Computing.- A Survey on Automatic Musical Chord Sequence Generation.- A Review on Personality Prediction.- A Literature Survey on Biomedical Named Entity Recognition.- Design and comparative analysis of Induction Machine using FPBO.
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Dr. Neeraj Priyadarshi received his M.Tech. in Power Electronics & Drives in 2010 from Vellore Institute of Technology (VIT), Vellore, India, and his Ph D from Government College of Technology and Engineering, Udaipur, India. His current research interests include power electronics, control systems, power quality, and solar power generation. Currently, he is associated with BITT Ranchi, India. In previous postings he was with MIT Purnea, JK University, Geetanjali Institute, Global Institute and SS Group, Rajasthan, India. He has published over 40 papers in journals and conferences. Dr. Priyadarshi is a reviewer of IEEE Systems Journal, International Journal of Modeling and Simulation, International Journal of Renewable Energy Research, International Journal of Power Electronics and Drives.
Dr. Sanjeevikumar Padmanaban received the bachelor’s degree in electrical engineering from the University of Madras, India, in 2002, the master’s degree (Hons.) in electrical engineering from Pondicherry University, India, in 2006, and the Ph.D. degree in electrical engineering from the University of Bologna, Italy, in 2012. He was an Associate Professor with VIT University from 2012 to 2013. In 2013, he joined the National Institute of Technology, India, as a Faculty Member. In 2014, he was invited as a visiting researcher with the Department of Electrical Engineering, Qatar University, Qatar, funded by the Qatar National Research Foundation (Government of Qatar). He continued his research activities with the Dublin Institute of Technology, Ireland, in 2014. He was an Associate Professor with the Department of Electrical and Electronics Engineering, University of Johannesburg, South Africa, from 2016 to 2018. Since 2018, he has been a Faculty Member with the Department of Energy Technology, Aalborg University, Esbjerg, Denmark. He has authored 300 plus scientific papers and has received the Best Paper cum Most Excellence Research Paper Award from IET-SEISCON’13, IET-CEAT’16 and five best paper award from ETAEERE’16 sponsored Lecture note in Electrical Engineering, Springer book series. He is a fellow Institution of Engineers (FIE’18, India) and fellow Institution of Telecommunication and Electronics Engineers (FIETE’18, India). He serves as an Editor/Associate Editor/Editorial Board of refereed journal, in particular, the IEEE Systems Journal, the IEEE Access Journal, the IET Power Electronics, Journal of Power Electronics, Korea, and the subject editor of the subject Editor of IET Renewable Power Generation, the subject Editor of IET Generation, Transmission and Distribution, and the subject editor of FACTS journal, Canada.
Dr. Ranjan Kumar Ghadai received his B. Tech in Mechanical Engineering from Biju Patnaik University of Technology, Odisha, India M.E in and Ph.D. in Mechanical Engineering from Indian Institute of Engineering, Science & Technology, Shibpur, India. He has over 5 years of teaching experience. Currently, he is working as an Assistant professor in Mechanical Engineering Department of Sikkim Manipal Institute of Technology, Sikkim. He has published more than 23 Scopus/SCI research articles. His areas of interests include thin film coating, thin film Characterization, Optimization of machining process parameters.
Dr. Amiya Ranjan Panda has seven years of research experience in DRDO and one year of teaching experience. He received his B.Tech. degree in information technology from Biju Patnaik University of Technology, Rourkela, India, in 2009, and the M.Tech. degree in computer science and engineering from the Kalinga Institute of Industrial Technology (KIIT), Bhubaneshwar, India, in 2012. He received Ph.D. degree from Siksha “O” Anusandhan University, Bhubaneshwar in the year 2017 working in a real-time project “Design, development and implementation of Software Defined Radio based Flight Termination System” of DRDO, ITR, Chandipur. He has worked as JRF, SRF and RA in DRDO, ITR, Chandipur for more than 7 years. Then he has worked as Assistant Professor in Siksha ‘O’ Anusandhan University for 4 months and currently he is working as Assistant Professor in KIIT Deemed to be University, Bhubaneswar. His research interest is Machine learning, IOT, data acquisition system and Software Defined Radio. He has published 15 international journals.
Dr. Ranjeeta Patel received her B.Tech in Electrical Engineering, from BPUT, Odisha, 2006, M.Tech, Power Electronics & Drives, KIIT University, Bhubaneswar, 2009, Ph.D, Electrical Engg., National Institute of Technology Rourkela, India, 2017. She is currently working as Asst. Professor School of Electrical Engineering KIIT University, Bhubaneswar. She has published several research papers in the International, national journals along with conferences. She is the active reviewer in the journal of IEEE IAS Sustainable Energy Conversion Systems Committee, IEEE-IAS Industrial Automation and Control Committee, IEEE Access, IET Power Electronics, IJEPES, Elsevier, Electric Power Components and Systems, T &F, International Transactions on Electrical Energy Systems, WILEY, Journal of Experimental & Theoretical Artificial Intelligence, T & F, IETE Journal of Research, T & F, IJEEPS, Berkeley, H-type Transformerless Inverters for PV-Grid System.