A technique for improving petroleum products forecasts using grey convolution models and genetic algorithms

Forecasting energy consumption is a major concern for policymakers, oil industry companies, and many other associated businesses. Though there exist many forecasting tool, selecting the most appropriate one is critical. GM(1,1) has proven to be one of the most successful forecasting tool. GM(1,1) do...

Descripción completa

Detalles Bibliográficos
Autores principales: Sapnken, Flavian Emmanuel, Acyl, Ahmat Khazali, Boukar, Michel, Nyobe, Serge Luc Biobiongono, Tamba, Jean Gaston
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10009715/
https://www.ncbi.nlm.nih.gov/pubmed/36923703
http://dx.doi.org/10.1016/j.mex.2023.102097

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10009715/
https://www.ncbi.nlm.nih.gov/pubmed/36923703
http://dx.doi.org/10.1016/j.mex.2023.102097

Ejemplares similares