Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Forecasting petroleum products consumption in Cameroon's household sector using a sequential GMC(1,n) model optimized by genetic algorithms
por: Sapnken, Flavian Emmanuel, et al.
Publicado: (2022) -
Forecasting methodology with structural auto-adaptive intelligent grey models
por: Sapnken, Flavian Emmanuel, et al.
Publicado: (2023) -
A novel prediction approach using wavelet transform and grey multivariate convolution model
por: Sapnken, Flavian Emmanuel, et al.
Publicado: (2023) -
Forecasting CO(2) emissions from road fuel combustion using grey prediction models: A novel approach
por: Sapnken, Flavian Emmanuel, et al.
Publicado: (2023) -
Methodology for forecasting electricity consumption by Grey and Vector autoregressive models
por: Guefano, Serge, et al.
Publicado: (2021)