Intelligent Decision Support System for Including Consumers’Preferences in Residential Energy Consumption Management in Smart Grid

Sianaki, Omid; Hussain, Omar; Dillon, Tharam S.; Tabesh, A.

doi:10.1109/CIMSiM.2010.84

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Access Status

Open access

Authors

Sianaki, Omid

Hussain, Omar

Dillon, Tharam S.

Tabesh, A.

Date

2010

Type

Conference Paper

Metadata

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Citation

Sianaki, Omid Ameri and Hussain, Omar and Dillon, Tharam S. and Tabesh, Azadeh Rajabian. 2010. Intelligent Decision Support System for Including Consumers’Preferences in Residential Energy Consumption Management in Smart Grid, in Yunus, S. and Yunus, J. (ed), 2nd International Conference on Computer Modelling and Simulation (CIMSim 2010), Sep 28 2010, pp. 154-159. Bali, Indonesia: IEEE.

Source Title

Proceedings of the 2nd international conference on computer modelling and simulation (CIMSim 2010)

Source Conference

2nd International Conference on Computer Modelling and Simulation (CIMSim 2010)

DOI

10.1109/CIMSiM.2010.84

ISBN

9780769542621

School

Digital Ecosystems and Business Intelligence Institute (DEBII)

Remarks

Copyright © 2010 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright.

URI

http://hdl.handle.net/20.500.11937/4974

Collection

Curtin Research Publications

Abstract

Smart Grid is a novel initiative the aim of which is to deliver energy to the users and also to achieve consumption efficiency by means of two-way communication. The Smart Grid architecture is a combination of various hardware devices, management and reporting software tools that are combined within an ICT infrastructure. This infrastructure is needed to make the smart grid sustainable, creative and intelligent. One of the main goals of Smart Grid is to achieve Demand Response(DR) by increasing the end users' participation in decision making and increasing the awareness that will lead them to manage their energy consumption in an efficient way. Approaches proposed in the literature achieve demand response at the different levels of the Smart Grid, but no approach focuses on the users' point of view at the home level on a continuous basis and in an intelligent way to achieve demand response. In this paper, we develop such an approach by which demand response can be achieved on a continuous basis at the home level. To achieve this, the dynamic notion of price will be utilized to develop an intelligent decision-making model that will assist the users in achieving demand response.