Predictive efficiency of the ARFIMA model for wholesale electricity markets

Abstract

The comparative predictive efficiency of the ARFIMA model for time series of hourly wholesale electricity prices in the markets of a number of countries and regions is investigated. Various aspects of the model are analyzed. It is shown that taking into account long memory in the model increases the accuracy of the forecast.