Deep learning applied to wind power forecasting: a spatio-temporal approach

DOI10.1007/978-3-031-40209-8_14MaRDI QIDQ6609961

Álvaro Romero, José R. Dorronsoro, Eloy Anguiano, Rubén Del Campo

Publication date: 24 September 2024

zbMATH Keywords

transformerpowerforecastingdeep learningwindNWPLSTMCNNRNNConvLSTMtime SeriesViT

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Economic time series analysis (91B84) Proceedings, conferences, collections, etc. pertaining to game theory, economics, and finance (91-06)

Cites Work

• The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions

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