Forecasting petroleum products consumption in Cameroon's household sector using a sequential GMC(1,n) model optimized by genetic algorithms

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

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Detalles Bibliográficos
Autores principales: Sapnken, Flavian Emmanuel, Ahmat, Khazali Acyl, Boukar, Michel, Biobiongono Nyobe, Serge Luc, Tamba, Jean Gaston
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763868/
https://www.ncbi.nlm.nih.gov/pubmed/36561699
http://dx.doi.org/10.1016/j.heliyon.2022.e12138

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763868/
https://www.ncbi.nlm.nih.gov/pubmed/36561699
http://dx.doi.org/10.1016/j.heliyon.2022.e12138

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