Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Serge Guefano"'
Autor:
Serge Guefano, Mokhtar Bozorg, Mauro Carpita, Pauline Darline Etet-Baha, Francis Lénine Djanna Koffi, Jean Gaston Tamba, Jacques Etame
Publikováno v:
Energy Strategy Reviews, Vol 49, Iss , Pp 101155- (2023)
This research adds to the assessment of the causal relationships between residential electricity consumption and its explanatory factors. Johansen cointegration, autoregressive distributed lag model, the vector error correction model, and Wald causal
Externí odkaz:
https://doaj.org/article/4eea78e091044f55a30831204557425f
Autor:
Jean Gaston Tamba, Flavian Emmanuel Sapnken, Tchitchile Wilfried Emmanuel Azong, Serge Guefano, Armand Fopah Lele, Louis Monkam
Publikováno v:
International Journal of Energy Economics and Policy, Vol 12, Iss 4 (2022)
The mastery of demand for electricity in Cameroon is one of the concerns of the State, which is part of the development plan for the electricity sector by 2025. Thus, this paper identifies the factors that influence the electricity sector and mention
Externí odkaz:
https://doaj.org/article/8dc554bd66834c87a92ba575856406c9
Publikováno v:
MethodsX, Vol 8, Iss , Pp 101296- (2021)
Forecasting energy demand in general, and electricity demand in particular, requires the developing reliable forecasting tools that can be used to monitor the evolution of consumers’ energy needs more accurately. The proposed new hybrid GM(1,1)-VAR
Externí odkaz:
https://doaj.org/article/f8a22f90d7c342c3aa36e62919b4fa0e
Forecast for the Cameroon’s Residential Electricity Demand Based on the Multilinear Regression Model
Publikováno v:
Energy and Power Engineering. 12:182-192
The electricity needs of populations in Cameroon are increasing and are still very inadequate. Companies, public buildings and households are facing frequent blackout which constrain development and social well-being. Therefore, the present work trie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::707bfb74a4ddbd65105224749e4041a6
https://doi.org/10.4236/epe.2020.125013
https://doi.org/10.4236/epe.2020.125013
Publikováno v:
MethodsX
MethodsX, Vol 8, Iss, Pp 101296-(2021)
MethodsX, Vol 8, Iss, Pp 101296-(2021)
Highlights • The Grey and Vector autoregressive models are coupled to improve their accuracy. • Five economic and demographic parameters are included in the new hybrid model. • This new model is a reliable forecasting tool for assessing energy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c776ae16e467d580ee13b3c532307b8a
http://europepmc.org/articles/PMC8374266
http://europepmc.org/articles/PMC8374266
Publikováno v:
Energy. 214:118791
Cameroon is highly growing in energy as a whole, and in electricity in particular. This growth is expected to increase within the next years, thanks to the current emergence as well as the country’s major projects. Therefore, mastering electricity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33aea9982f70f65a0655313c3af26cd5
https://doi.org/10.1016/j.energy.2020.118791
https://doi.org/10.1016/j.energy.2020.118791