A fuzzy TOPSIS approach for home energy management in smart grid with considering householders' preferences

It is expected that demand response programs will be designed to decrease electricity consumption or shift it from on-peak to off-peak periods depending on consumers' preferences and lifestyles. This paper demonstrates a fuzzy TOPSIS decision-making approach to quantify and evaluate consumers&#...

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Bibliographic Details
Main Authors: Sianaki, Omid, Masoum, Mohammad Sherkat
Other Authors: Not known
Format: Conference Paper
Published: IEEE 2013
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/8775
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author Sianaki, Omid
Masoum, Mohammad Sherkat
author2 Not known
author_facet Not known
Sianaki, Omid
Masoum, Mohammad Sherkat
author_sort Sianaki, Omid
building Curtin Institutional Repository
collection Online Access
description It is expected that demand response programs will be designed to decrease electricity consumption or shift it from on-peak to off-peak periods depending on consumers' preferences and lifestyles. This paper demonstrates a fuzzy TOPSIS decision-making approach to quantify and evaluate consumers' preferences at the micro-level when using electrical devices according to a real-time price scheme of demand response in order to best manage the use of appliances. This enables and supports householders to maximize their participation in demand response programs.
first_indexed 2025-11-14T06:22:26Z
format Conference Paper
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T06:22:26Z
publishDate 2013
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-87752017-09-13T14:35:05Z A fuzzy TOPSIS approach for home energy management in smart grid with considering householders' preferences Sianaki, Omid Masoum, Mohammad Sherkat Not known Scheduling Model Smart Grid Demand Response Dynamic Real-Time Pricing Fuzzy TOPSIS Smart Home Home Energy Management It is expected that demand response programs will be designed to decrease electricity consumption or shift it from on-peak to off-peak periods depending on consumers' preferences and lifestyles. This paper demonstrates a fuzzy TOPSIS decision-making approach to quantify and evaluate consumers' preferences at the micro-level when using electrical devices according to a real-time price scheme of demand response in order to best manage the use of appliances. This enables and supports householders to maximize their participation in demand response programs. 2013 Conference Paper http://hdl.handle.net/20.500.11937/8775 10.1109/ISGT.2013.6497819 IEEE restricted
spellingShingle Scheduling Model
Smart Grid
Demand Response
Dynamic Real-Time Pricing
Fuzzy TOPSIS
Smart Home
Home Energy Management
Sianaki, Omid
Masoum, Mohammad Sherkat
A fuzzy TOPSIS approach for home energy management in smart grid with considering householders' preferences
title A fuzzy TOPSIS approach for home energy management in smart grid with considering householders' preferences
title_full A fuzzy TOPSIS approach for home energy management in smart grid with considering householders' preferences
title_fullStr A fuzzy TOPSIS approach for home energy management in smart grid with considering householders' preferences
title_full_unstemmed A fuzzy TOPSIS approach for home energy management in smart grid with considering householders' preferences
title_short A fuzzy TOPSIS approach for home energy management in smart grid with considering householders' preferences
title_sort fuzzy topsis approach for home energy management in smart grid with considering householders' preferences
topic Scheduling Model
Smart Grid
Demand Response
Dynamic Real-Time Pricing
Fuzzy TOPSIS
Smart Home
Home Energy Management
url http://hdl.handle.net/20.500.11937/8775