Forecasting daily demand for electricity with multiple-input nonlinear transfer function models: a case study

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dc.contributor.author Cancelo, José Ramón
dc.contributor.author Espasa, Antoni
dc.contributor.editor Universidad Carlos III de Madrid. Departamento de Economía
dc.date.accessioned 2008-08-19T07:55:08Z
dc.date.available 2008-08-19T07:55:08Z
dc.date.issued 1991-07
dc.identifier.issn 2340-5031
dc.identifier.uri http://hdl.handle.net/10016/2808
dc.description.abstract A model for forecasting the daily demand for electricity energy in Spain is presented. The trend and the weekly seasonality are modelled by using past values of the series; a complex intervention analysis is carried out to capture the effects of changes in the working conditions; and meteorological variables enter in the model with transfer functions, which allow nonlinear, dynamic, season-and type-ofday- dependent responses, as well as exhaustion effects and an implicit assessment of the increase on the stock of appliances.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.relation.ispartofseries Working Papers
dc.relation.ispartofseries 1991-21
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Nonlinear ARMAX Models
dc.subject.other Model Selection
dc.subject.other Intervention Analysis
dc.title Forecasting daily demand for electricity with multiple-input nonlinear transfer function models: a case study
dc.type workingPaper
dc.type workingPaper
dc.subject.eciencia Economía
dc.rights.accessRights openAccess
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