•Models to include market integration in electricity price forecasting are proposed.•The forecasters lead to accuracy improvements that are statistically significant.•Deep neural networks are used as based models of the larger modeling framework.•A forecasters that predicts prices in various markets leads to the best results.•A novel feature selection algorithm based on functional ANOVA is proposed.
Applied Energy – Elsevier
Published: Feb 1, 2018
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