Forecasting from one day to one week ahead for the Spanish system operator

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dc.contributor.author Cancelo, José Ramón
dc.contributor.author Espasa, Antoni
dc.contributor.author Grafe, Rosmarie
dc.contributor.editor Universidad Carlos III de Madrid. Departamento de Estadística
dc.date.accessioned 2008-01-02T11:42:35Z
dc.date.available 2008-01-02T11:42:35Z
dc.date.issued 2007-12
dc.identifier.uri http://hdl.handle.net/10016/1146
dc.description.abstract This paper discusses the building process and models used by Red Eléctrica de España (REE), the Spanish system operator, in short-term electricity load forecasting. REE's forecasting system consists of one daily model and 24 hourly models with a common structure. There are two types of forecasts of special interest to REE, several days ahead predictions for daily data and one day ahead hourly forecasts. Accordingly, forecast accuracy is assessed in terms of their errors. For doing so we analyze historical, real time forecasting errors for daily and hourly data for the year 2006, and report forecasting performance by day of the week, time of the year and type of day. Other aspects of the prediction problem, like the influence of the errors in predicting temperature on forecasting the load several days ahead, or the need for an adequate treatment of special days, are also investigated.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.language.iso eng
dc.relation.ispartofseries UC3M Working papers. Statistics and Econometrics
dc.relation.ispartofseries 2007-18
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Energy forecasting
dc.subject.other Hourly and daily models
dc.subject.other Time series
dc.subject.other Forecasting practice
dc.title Forecasting from one day to one week ahead for the Spanish system operator
dc.type workingPaper
dc.subject.eciencia Estadística
dc.rights.accessRights openAccess
dc.identifier.repec ws078418
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