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

José Ramón Cancelo
Authors registered in the RePEc Author Service: Antoni Espasa

UC3M Working papers. Economics from Universidad Carlos III de Madrid. Departamento de Economía

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.

Keywords: Nonlinear; ARMAX; Models; Model; Selection; Intervention; Analysis (search for similar items in EconPapers)
Date: 1991-07
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:cte:werepe:2808

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