This paper presents a model for the prediction of hourly day-ahead prices in the Nordic electricity market. The aim is to make a model suited for scenario generation for stochastic optimization of bids for a hydro power producer. Hourly prices are estimated through panel data methodology, and the analysis shows that most external explanation factors should have hour-specific coefficients.
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