WYKORZYSTANIE DANYCH OCZYSZCZONYCH O WYSOKIEJ CZĘSTOTLIWOŚCI W PROGNOZOWANIU ZMIENNYCH ZE ZŁOŻONĄ SEZONOWOŚCIĄ
In the article will be presented procedure to modeling and forecasting of the high frequency variable, based on series, from which was eliminated two or three types of seasonality. Forecasts will be built on the basis of exponential smoothing models. The theoretical considerations will be illustrated with empirical example about demand for electricity in hour periods in the agglomeration A.
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