Improved CEEMDAN, GA, and SVR Model for Oil Price Forecasting

Accurate prediction of crude oil prices (COPs) is a challenge for academia and industry. Therefore, the present research developed a new CEEMDAN-GA-SVR hybrid model to predict COPs, incorporating complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), a genetic algorithm (GA),...

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Detalles Bibliográficos
Autores principales: Lu, Yichun, Luo, Junyin, Cui, Yiwen, He, Zhengbin, Xia, Fengchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252654/
https://www.ncbi.nlm.nih.gov/pubmed/35795536
http://dx.doi.org/10.1155/2022/3741370

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252654/
https://www.ncbi.nlm.nih.gov/pubmed/35795536
http://dx.doi.org/10.1155/2022/3741370

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