Work place: Dept of IT, Silicon Institute of Technology, Odisha, India
E-mail: satya@silicon.ac.in
Website:
Research Interests:
Biography
Satyananda C. Rai did his M. Tech. and Ph.D. in computer science and Engineering from Utkal University in 2001 and 2012 respectively.
He is currently working as an Associate Professor and head of the Department of Information Technology at the Silicon Institute of Technology, Bhubaneswar. He has published 23 research articles in national and international conference proceedings as well as in journals. He has written a monograph titled QoS Provisioning in Mobile Ad Hoc Networks: Principles, Practices and Models, published by LAMBERT Academic Publishing, Germany in 2013 and co-authored a book titled Computer Network Simulation using NS2, CRC Press, Taylor & Francis Group, 2016. He has guided 23 M. Tech. students and served as a program committee member in several international conferences.
Dr. Rai is a member of IEEE, a life member of Indian Society for Technical Education (ISTE), Indian Association of Medical Informatics (IAMI), and Orissa Information Technology Society (OITS).
By Nilima R. Das Satyananda C. Rai Ajit Nayak
DOI: https://doi.org/10.5815/ijisa.2018.06.04, Pub. Date: 8 Jun. 2018
As the global demand for electricity is growing continuously, the sources use more fossil fuels to generate electricity which in turn increases the level of carbon dioxide in the atmosphere. Moreover the electrical system becomes unreliable during the peak hours if the demand for electricity is very high. So there is a need to have a grid system which can handle these cases in a smarter way. A Smart Grid is such an electrical grid system which can control and manage electricity demand in a more reliable and economic manner using various energy efficient resources and a variety of operational measures like smart meters, smart appliances and smart communication system. The smart grid uses a technique called energy demand management at consumer side which motivates the consumers to control and reduce their demand for energy during peak hours. This makes the whole system more reliable and efficient. The demand side management (DSM) includes various methods such as increasing awareness among the consumers and giving them some financial incentives which can encourage them to be a part of the DSM program. In this paper a novel Demand Side Management technique has been proposed for a typical smart grid scenario which comprises users with energy storage devices using a metaheuristic approach to have an optimal load scheduling that results in reduced peak hour demands.
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