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dc.contributor.authorSánchez Ubeda, Eugenio Franciscoes-ES
dc.contributor.authorPortela González, Josées-ES
dc.contributor.authorMuñoz San Roque, Antonioes-ES
dc.contributor.authorChueca Montuenga, Jesus Enriquees-ES
dc.contributor.authorCarvalho Metanias, Michellees-ES
dc.date.accessioned2022-02-10T04:05:38Z
dc.date.available2022-02-10T04:05:38Z
dc.date.issued2022-06-01es_ES
dc.identifier.issn2352-4677es_ES
dc.identifier.urihttps:doi.org10.1016j.segan.2022.100610es_ES
dc.descriptionArtículos en revistases_ES
dc.description.abstractes-ES
dc.description.abstractGovernments worldwide have adopted different public health measures in order to slow down the spread of COVID-19. As a result, the electricity demand has been impacted by the changes in human activity. Many of the Latin America and the Caribbean (LAC) countries have adopted different approaches to control the COVID-19 pandemic, including severe shutdown of most social and economic activities. This paper analyzes how this pandemic has influenced, from its appearance until the fall of 2020, the demand of ten LAC countries (Peru, Bolivia, Costa Rica, Brazil, Guatemala, Mexico, Dominican Republic, Argentina, Chile and Uruguay). The approach is based on the concepts of size and shape impacts, which have been proposed in order to decompose the problem for a better understanding of the impact. The size impact accounts for the observed variations on the daily demand, whereas the shape impact focuses on the variations observed on the standardized hourly demand profiles for each day. To calculate both impacts, the observed demand is compared to the expected one if the COVID-19 crisis had not happened. To obtain reliable estimations in the scenario without COVID-19, machine learning techniques have been used. Peru and Bolivia are the two countries where the pandemic has had the greatest impact during 2020, with a size impact in April 2020 of around -30. At the opposite extreme would be Chile and Uruguay, with a maximum monthly size impact of -6. The other considered countries have maximum monthly impacts in the range of -11 to -17.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceRevista: Sustainable Energy, Grids and Networks, Periodo: 1, Volumen: online, Número: , Página inicial: 100610-1, Página final: 100610-21es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT) - Innovación docente y Analytics (GIIDA)es_ES
dc.titleImpact of COVID-19 on electricity demand of Latin America and the Caribbean countrieses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywordses-ES
dc.keywordsDemand consumption; COVID-19 pandemic; Lockdown; Regression analysis; Clustering; Classification treesen-GB


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