March 26, 2024, 4:42 a.m. | Oscar Llorente Gonzalez, Jose Portela

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.16108v1 Announce Type: new
Abstract: This paper presents a novel approach to electricity price forecasting (EPF) using a pure Transformer model. As opposed to other alternatives, no other recurrent network is used in combination to the attention mechanism. Hence, showing that the attention layer is enough for capturing the temporal patterns. The paper also provides fair comparison of the models using the open-source EPF toolbox and provide the code to enhance reproducibility and transparency in EPF research. The results show …

abstract arxiv attention combination cs.ai cs.lg electricity forecasting layer network novel paper patterns price temporal transformer transformer model type

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