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In this paper we analyze the time series of daily mean prices generated in the Italian electricity market, which started to operate as a Pool in April 2004. The objective is to characterize the high degree of autocorrelation and multiple seasonalities in the electricity prices. We use periodic models with GARCH disturbances and leptokurtic distribution and compare their performance with more classical ARMA-GARCH processes. The within-year seasonal component is built using the low frequenciesdoi:10.2139/ssrn.888736 fatcat:ygrssodvxrdrrnzbeu25uggpii