Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ahmat, Khazali Acyl"'
Autor:
Sapnken, Flavian Emmanuel, Ahmat, Khazali Acyl, Boukar, Michel, Nyobe, Serge Luc Biobiongono, Tamba, Jean Gaston
Publikováno v:
Grey Systems: Theory and Application, 2023, Vol. 13, Issue 3, pp. 488-516.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/GS-12-2022-0119
Autor:
Ahmat Khazali Acyl, Flavian Emmanuel Sapnken, Aubin Kinfack Jeutsa, Jean Marie Stevy Sama, Marcel Rodrigue Ewodo-Amougou, Jean Gaston Tamba
Publikováno v:
International Journal of Energy Economics and Policy, Vol 14, Iss 1 (2024)
This study aims to estimate the demand for petroleum products (PP) in the Chadian road sector by 2030 and to determine which of the two models used is the most efficient. The methodology is based on two optimised Grey models, namely: the Sequential-G
Externí odkaz:
https://doaj.org/article/76cfeaf19f8a4deb8b34a8b6603637f7
Autor:
Sapnken, Flavian Emmanuel, Ahmat, Khazali Acyl, Boukar, Michel, Biobiongono Nyobe, Serge Luc, Tamba, Jean Gaston
Publikováno v:
In Heliyon December 2022 8(12)
Autor:
Flavian Emmanuel Sapnken, Ahmat Khazali Acyl, Michel Boukar, Serge Luc Biobiongono Nyobe, Jean Gaston Tamba
Publikováno v:
MethodsX, Vol 10, Iss , Pp 102097- (2023)
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 o
Externí odkaz:
https://doaj.org/article/5a8d4e4db9c04b449ff1d1848c17cb2a