Intelligent decision-making system with green pervasive computing for renewable energy business in electricity markets on smart grid

Authors:
Dong-Joo Kang;Jong Hyuk Park;Sang-Soo Yeo
Affiliations:
Korea Electrotechnology Research Institute, Uiwang, Gyeonggi, South Korea;Department of Computer Science and Engineering, Seoul National University of Technology, South Korea;Division of Computer Engineering, Mokwon University, South Korea
Venue:
EURASIP Journal on Wireless Communications and Networking - Special issue on enabling Wireless Technologies for Green Pervasive Computing
Year:
2009

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Abstract

This paper is about the intelligent decision-making system for the smart grid based electricity market which requires distributed decision making on the competitive environments composed of many players and components. It is very important to consider the renewable energy and emission problem which are expected to be monitored by wireless communication networks. It is very difficult to predict renewable energy outputs and emission prices over time horizon, so it could be helpful to catch up those data on real time basis using many different kinds of communication infrastructures. On this backgrounds this paper provides an algorithm to make an optimal decision considering above factors.