The article introduces Bayesian forecasting of electricity prices in the German continuous intraday market, focusing on parameter uncertainty. It challenges the gold standard of using LASSO for feature selection and presents Orthogonal Matching Pursuit as a better alternative. The study highlights the importance of probabilistic forecasts for risk management in the context of renewable energy sources. The research contributes to the field of Electricity Price Forecasting by incorporating uncertainties in model parameters.
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by Dani... às arxiv.org 03-11-2024
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