Fuzzy clustering applied to a demand response model in a smart grid contingency scenario
Data(s) |
07/05/2015
07/05/2015
2014
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Resumo |
This paper focus on a demand response model analysis in a smart grid context considering a contingency scenario. A fuzzy clustering technique is applied on the developed demand response model and an analysis is performed for the contingency scenario. Model considerations and architecture are described. The demand response developed model aims to support consumers decisions regarding their consumption needs and possible economic benefits. |
Identificador |
PEREIRA, Rita Marcos Fontes Murta; [et. al] - Fuzzy clustering applied to a demand response model in a smart grid contingency scenario. International Sympodium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). ISBN 978-1-4799-4749-2. (2014), pp. 495-498 978-1-4799-4749-2 http://hdl.handle.net/10400.21/4497 10.1109/SPEEDAM.2014.6872122 |
Idioma(s) |
eng |
Publicador |
IEEE - Institute of Electrical and Electronics Engineers Inc. |
Relação |
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6872122&tag=1 |
Direitos |
restrictedAccess |
Palavras-Chave | #Demand response #Fuzzy clustering #Smart grid #Contingency |
Tipo |
article |