Model used to determine the daily average demand of electric energy in Argentina - A state space approach

This work shows the usefulness of state-space models to adjust and forecast daily time series, and the technique of periodic cubic spline regression to model annual seasonality. A structural model is used to analyzed the series of daily average demand of electricity in Argentina. This model considers the trend, the weekly and annual seasonal component, the effect of public holidays, two cycles, and the temperature as explanatory variable. The method gave satisfactory results, both at the adjustment level as well as in the forecasting and interpretability of its components. Alternative methods are recommended when the future temperature values are unknown. Fil: Abril, Juan Carlos. Universidad Nacional de Tucumán. Facultad de Ciencias Económicas. Instituto de Investigaciones Estadísticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina Fil: Blacona, Maria Teresa. Universidad Nacional de Rosario; Argentina