Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/90456

TítuloA regression model to assess the social acceptance of demand response programs
Autor(es)Ferreira, Paula Varandas
Rocha, Ana Isabel Carneiro
Araújo, Maria Madalena Teixeira de
Palavras-chaveDemand response
Heterogeneous choice model (oglm)
Ordered logit regression (ologit)
Residential consumers
Social acceptance
DataAbr-2021
EditoraSpringer
RevistaLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST)
Resumo(s)Residential demand response has been playing an important role in the low carbon energy system transition. Although this is not a new concept, the popularity of Demand Response (DR) programs is growing, driven by the increasing opportunities that emerged with smart grid appliances as well as by their potential to support the integration of variable renewables generation. The end-user plays a key role in the successful deployment and dissemination of these DR programs. This study aims to assess social awareness and acceptance of DR programs, based on a survey for data collection and complemented with the regression models. The results suggest that the economic determinants, contribution to environmental protection as well as the extent of urbanization are important motivating drivers, to be explored in the future to encourage the residential consumers’ participation in DR programs.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/90456
ISBN978-3-030-73584-5
e-ISBN978-3-030-73585-2
DOI10.1007/978-3-030-73585-2_6
ISSN1867-8211
e-ISSN1867-822X
Versão da editorahttps://link.springer.com/chapter/10.1007/978-3-030-73585-2_6
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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