Fuzzy Subtractive Clustering Technique applied to Demand Response in a Smart Grid Scope

This paper focuses on demand response in a smart grid scope using a fuzzy subtractive clustering technique for modeling demand response. Domestic consumption is classified into profiles in order to favorable cover the adequate modeling. The fuzzy subtractive clustering technique is applied to a case...

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Detalhes bibliográficos
Autor principal: Pereira, Rita (author)
Outros Autores: Fagundes, Andre (author), Melicio, Rui (author), Mendes, Victor (author), Figueiredo, Joao (author), Quadrado, Jose (author)
Formato: bookPart
Idioma:eng
Publicado em: 2015
Assuntos:
Fuzzy subtractive clustering
Demand response
smart grid
Texto completo:http://hdl.handle.net/10174/13824
País:Portugal
Oai:oai:dspace.uevora.pt:10174/13824
Descrição
Resumo:This paper focuses on demand response in a smart grid scope using a fuzzy subtractive clustering technique for modeling demand response. Domestic consumption is classified into profiles in order to favorable cover the adequate modeling. The fuzzy subtractive clustering technique is applied to a case study of domestic consumption demand response with three scenarios and a comparison of the results is presented. The demand response developed model intends to support consumer's decisions given a compromise between the consumption imperative needs and possible economical benefits due to reshape and reschedule.

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