Cargando…
Forecasting methodology with structural auto-adaptive intelligent grey models
Accurate mid- and long-term petroleum products (PP) consumption forecasting is vital for strategic reserve management and energy planning. In order to address the issue of energy forecasting, a novel structural auto-adaptive intelligent grey model (SAIGM) is developed in this paper. To start with, a...
Autores principales: | Sapnken, Flavian Emmanuel, Tamba, Jean Gaston |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326502/ https://www.ncbi.nlm.nih.gov/pubmed/37424754 http://dx.doi.org/10.1016/j.mex.2023.102237 |
Ejemplares similares
-
A novel prediction approach using wavelet transform and grey multivariate convolution model
por: Sapnken, Flavian Emmanuel, et al.
Publicado: (2023) -
Methodology for examining the relationship between oil rent and crude oil production: Evidence from Cameroon
por: Ewodo-Amougou, Marcel Rodrigue, et al.
Publicado: (2023) -
Unravelling the dynamics of human development and economic growth on crude oil production based on ARDL and NARDL models
por: Sama, Jean Marie Stevy, 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) -
A technique for improving petroleum products forecasts using grey convolution models and genetic algorithms
por: Sapnken, Flavian Emmanuel, et al.
Publicado: (2023)