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Electricity price forecast based on the STL-TCN-NBEATS model
Taking long-term high-frequency electricity price data as the research content, this paper proposes seasonal and trend decomposition using loess-temporal convolutional network-neural basis expansion analysis for an interpretable time series forecasting (STL-TCN-NBEATS) model to solve the problems of...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938466/ https://www.ncbi.nlm.nih.gov/pubmed/36820190 http://dx.doi.org/10.1016/j.heliyon.2023.e13029 |