Ajit Nayak

Work place: Faculty of Engg. & Tech., SOA, Odisha, India

E-mail: ajitnayak@soa.ac.in


Research Interests: Autonomic Computing, Natural Language Processing, Image Compression, Image Manipulation, Image Processing, Speech Recognition, Speech Synthesis


Ajit K. Nayak has done his graduation in Electrical Engineering from the Institution of Engineers, India in the year 1994, M. Tech degree in computer science from Utkal University in 2001 and Ph. D Computer Science from Utkal University in 2010.

He is the professor and HoD of the Department of Computer Science and Information Technology, Siksha ‘O’ Anusandhan, Deemed to be University, Bhubaneswar, Odisha. His research interests include Computer Networking, Adhoc & Sensor Networks, Soft computing, Natural Language Computing, Speech and Image Processing etc. He has published about 35 research papers in various journals and conferences. He has also participated as organizing member of several conferences and workshops in international andnational level.

Author Articles
Intelligent Scheduling of Demand Side Energy Usage in Smart Grid Using a Metaheuristic Approach

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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