Data Analytics for Smart Grids Applications—A Key to Smart City Development

lt;p>Devendra Kumar Sharma received his B.E degree in Electronics Engineering from Motilal Nehru National Institute of Technology, Allahabad, in 1989, M.E degree from Indian Institute of Technology Roorkee, Roorkee, in 1992, and Ph.D. degree from National Institute of Technology, Kurukshetra, India, in 2016. He served PSU in different positions for more than eight years in Q.A & Testing / R & D departments. Dr. Sharma joined the department of Electronics and Communication Engineering, Meerut Institute of Engineering and Technology, Meerut, Uttar Pradesh, India, in October 2000 as a senior lecturer and worked there till April 2018 at different capacities of an assistant professor, associate professor, professor, and dean academics. He is currently working as a professor and dean of SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad, India. Dr. Sharma has authored many papers in several international journals and conferences of repute.

Rohit Sharma is currently acting as an associate professor in Electronics and Communication Engineering, SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad, India. He is an active member of ISTE, IEEE, ICS, IAENG, and IACSIT. He is an editorial board member and reviewer of more than 12 international journals and conferences, including the topmost Journal IEEE Access and IEEE Internet of Things Journal. He serves as a book editor for 16 different titles to be published by CRC Press, Taylor & Francis Group, USA and Apple Academic Press, CRC Press, Taylor & Francis Group, USA, Springer, etc. He has received the Young Researcher Award in "2nd Global Outreach Research and Education Summit & Awards 2019" hosted by Global Outreach Research & Education Association (GOREA). He is serving as a guest editor in various SCI journals such as Elsevier, CEE, COMNET, IET Communications Willey, Expert Systems Wiley.

Prof. Gwanggil Jeon received the B.S., M.S., and Ph.D. (summa cum laude) degrees from the Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea, in 2003, 2005, and 2008, respectively. From 2009.09 to 2011.08, he was with the School of Information Technology and Engineering, University of Ottawa, Ottawa, ON, Canada, as a post-doctoral fellow. From 2011.09 to 2012.02, he was with the Graduate School of Science and Technology, Niigata University, Niigata, Japan, as an assistant professor. From 2014.12 to 2015.02 and 2015.06 to 2015.07, he was a visiting scholar at Centre de Mathématiques et Leurs Applications (CMLA), École Normale Supérieure Paris-Saclay (ENS-Cachan), France. From 2019 to 2020, he was a prestigious visiting professor at Dipartimento di Informatica, Università degli Studi di Milano Statale, Italy. He is currently a full professor at Incheon National University, Incheon, Korea.

Raghvendra Kumar is working as an associate professor in Computer Science and Engineering Department at L.N.C.T Group of College, Jabalpur, MP, India, and serving as the director of IT and Data Science Department, Vietnam Center of Research in Economics, Management, Environment (VCREME)-Branch VCREME One Member Company Limited, Vietnam. He received B. Tech. in Computer Science and Engineering from SRM University Chennai (Tamil Nadu), India, M. Tech. in Computer Science and Engineering from KIIT University, Bhubaneswar, (Odisha) India, and Ph.D. in Computer Science and Engineering from Jodhpur National University, Jodhpur (Rajasthan), India. He also published 11 chapters in edited book published by IGI Global, Springer, and Elsevier. He also received best paper award in IEEE Conference 2013 and Young Achiever Award-2016 by IEAE Association for his research work in the field of distributed database. 

Data Analytics For Smart Grids And Applications - Present And Future Directions.- Design, Optimization and Performance Analysis of Microgrids using Multi-Agent Q-Learning.- Big Data Analytics for Smart Grid: A Review on State-of- Art Techniques and Future Directions.- Smart Grid Management for Smart City Infrastructure using Wearable Sensors.- Studies on Conventional and Advanced Machine Learning Algorithm towards Framing of Robust Data analytics for the Smart Grid Application.- Prediction and Classification For Smart Grid Applications.- A Review on Smart Metering Using Artificial Intelligence and Machine Learning Techniques: Challenges and Solutions.