Demand Response Analysis in Smart Grids Using Fuzzy Clustering Model

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper focuses on an analysis of demand response in a smart grid context, presenting the model considerations and architecture. Domestic consumption is divided into groups in order to cover the adequate modeling. A fuzzy subtractive clustering method is applied to demand response on several domestic consumption scenarios and results analyses are presented. The demand response developed model aims to support consumers decisions regarding their consumption needs and possible economical benefits.
Original languageUnknown
Title of host publicationIFIP Advances in Information and Communication Technology
Pages403-412
Volume394
DOIs
Publication statusPublished - 1 Jan 2013
Event4th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2013 -
Duration: 1 Jan 2013 → …

Conference

Conference4th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2013
Period1/01/13 → …

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