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In this work we considered several hybrid modelling approaches forforecasting energy spot prices in EPEC market. Hybridization is performedthrough combining a Naive model, Fourier analysis, ARMA and GARCH models, amean-reversion and jump-diffusion model, and Recurrent Neural Networks (RNN).Training data was given in terms of electricity prices for 2013-2014 years, andtest data as a year of 2015.

Hybrid Modelling Approaches for Forecasting Energy Spot Prices in EPEC market