Comparing the Forecasting Performances of Linear Models for Electricity Prices with High RES Penetration
Angelica Gianfreda (),
Francesco Ravazzolo () and
No No 2/2018, Working Papers from Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School
This paper compares alternative univariate versus multivariate models, probabilistic versus Bayesian autoregressive and vector autoregressive specifications for hourly day-ahead electricity prices, with and without renewable energy sources. The accuracy of point and density forecasts are inspected in four main European markets (Germany, Denmark, Italy and Spain) characterized by different levels of renewable energy power generation. Our results show that the Bayesian VAR specifications with exogenous variables dominate other multivariate and univariate specifications, in terms of both point and density forecasting.
Keywords: Density Forecasting; Electricity Market; Forecasting; Hourly Prices; Renewable Energies. (search for similar items in EconPapers)
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Journal Article: Comparing the forecasting performances of linear models for electricity prices with high RES penetration (2020)
Working Paper: Comparing the Forecasting Performances of Linear Models for Electricity Prices with High RES Penetration (2019)
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