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    A multi-agent intelligent decision making support system for home energy management in smart grid: A fuzzy TOPSIS approach

    196748_196748.pdf (990.7Kb)
    Access Status
    Open access
    Authors
    Sianaki, Omid
    Masoum, Mohammad
    Date
    2013
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Sianaki, Omid and Masoum, Mohammad. 2013. A multi-agent intelligent decision making support system for home energy management in smart grid: A fuzzy TOPSIS approach. Multiagent and Grid Systems. 9 (3): pp. 181-195.
    Source Title
    Multiagent and Grid Systems
    DOI
    10.3233/MGS-130205
    ISSN
    1574-1702
    Remarks

    Copyright © 2013 IOS Press and the Authors

    URI
    http://hdl.handle.net/20.500.11937/9808
    Collection
    • Curtin Research Publications
    Abstract

    In the context of intelligent home energy management in smart grid, the occupants' consumption behavior has a direct effect on the demand and supply of the electrical energy market. Correspondingly, the policies of the utility providers affect consumption behavior so techniques and tools are required to analyse the occupants' preferences, habits and lifestyles in order to support and facilitate their decision-making regarding the curtailing of their energy consumption and costs. The uncertainty about householders' preferences increases the uncertainty of appliance prioritization and makes it difficult to determine the consistency of preferences in terms of energy consumption. In this complex system, the preferences and judgments of householders are represented by linguistic and vague patterns. This paper proposes a much better representation of this linguistics that can be developed and refined by using the evaluation methods of fuzzy set theory. The proposed approach will apply the fuzzy Technique for Order Preference by Similarity to Ideal Solution (fuzzy TOPSIS) for achieving preferences. Based on our detailed literature review of the multi-agent system approach in this field, it is expected that the proposal model will offer a robust tool for communication and decision-making between occupant agents and dynamic environmental variables. It is shown that the proposed fuzzy TOPSIS approach will enable and assist householders to maximize their participation in demand response programs.

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