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...

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Detalles Bibliográficos
Autores principales: Sapnken, Flavian Emmanuel, Tamba, Jean Gaston
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Energy
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

Internet

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

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