A multi-agent intelligent decision making support system for home energy management in smart grid: A fuzzy TOPSIS approach
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 re...
| Main Authors: | , |
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| Format: | Journal Article |
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IOS Press
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/9808 |
| _version_ | 1848746056867643392 |
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| author | Sianaki, Omid Masoum, Mohammad |
| author_facet | Sianaki, Omid Masoum, Mohammad |
| author_sort | Sianaki, Omid |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T06:27:11Z |
| format | Journal Article |
| id | curtin-20.500.11937-9808 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:27:11Z |
| publishDate | 2013 |
| publisher | IOS Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-98082017-09-13T14:53:17Z A multi-agent intelligent decision making support system for home energy management in smart grid: A fuzzy TOPSIS approach Sianaki, Omid Masoum, Mohammad smart home dynamic real-time pricing smart grid home energy management demand response Multi-agent systems intelligent decision support system scheduling model fuzzy TOPSIS 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. 2013 Journal Article http://hdl.handle.net/20.500.11937/9808 10.3233/MGS-130205 IOS Press fulltext |
| spellingShingle | smart home dynamic real-time pricing smart grid home energy management demand response Multi-agent systems intelligent decision support system scheduling model fuzzy TOPSIS Sianaki, Omid Masoum, Mohammad A multi-agent intelligent decision making support system for home energy management in smart grid: A fuzzy TOPSIS approach |
| title | A multi-agent intelligent decision making support system for home energy management in smart grid: A fuzzy TOPSIS approach |
| title_full | A multi-agent intelligent decision making support system for home energy management in smart grid: A fuzzy TOPSIS approach |
| title_fullStr | A multi-agent intelligent decision making support system for home energy management in smart grid: A fuzzy TOPSIS approach |
| title_full_unstemmed | A multi-agent intelligent decision making support system for home energy management in smart grid: A fuzzy TOPSIS approach |
| title_short | A multi-agent intelligent decision making support system for home energy management in smart grid: A fuzzy TOPSIS approach |
| title_sort | multi-agent intelligent decision making support system for home energy management in smart grid: a fuzzy topsis approach |
| topic | smart home dynamic real-time pricing smart grid home energy management demand response Multi-agent systems intelligent decision support system scheduling model fuzzy TOPSIS |
| url | http://hdl.handle.net/20.500.11937/9808 |