Demand Response Analysis in Smart Grids Using Fuzzy Clustering Model

João Francisco Alves Martins

doi:10.1007/978-3-642-37291-9_43

Demand Response Analysis in Smart Grids Using Fuzzy Clustering Model

João Francisco Alves Martins

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	Unknown
Title of host publication	IFIP Advances in Information and Communication Technology
Pages	403-412
Volume	394
DOIs	https://doi.org/10.1007/978-3-642-37291-9_43
Publication status	Published - 1 Jan 2013
Event	4th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2013 - Duration: 1 Jan 2013 → …

Conference

Conference	4th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2013
Period	1/01/13 → …

Access to Document

10.1007/978-3-642-37291-9_43

Cite this

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title = "Demand Response Analysis in Smart Grids Using Fuzzy Clustering Model",

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.",

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N2 - 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.

AB - 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.

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KW - Demand response

KW - fuzzy subtractive clustering

U2 - 10.1007/978-3-642-37291-9_43

DO - 10.1007/978-3-642-37291-9_43

M3 - Conference contribution

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EP - 412

BT - IFIP Advances in Information and Communication Technology

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