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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Biao, Song, Chao, Jiang, Xuchu, Li, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
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

Internet

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

Ejemplares similares