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Forecasting petroleum products consumption in Cameroon's household sector using a sequential GMC(1,n) model optimized

Flavian Emmanuel Sapnken1, Khazali Acyl Ahmat2, Michel Boukar2

  • 1Laboratory of Technologies and Applied Science, University Institute of Technology, University of Douala, PO Box 8698, Douala, Cameroon.

Heliyon
|December 23, 2022
PubMed
Summary

This study introduces a novel forecasting model, Sequential-GMC(1,n)-GA, to accurately predict household petroleum consumption in Cameroon. The model also estimates significant CO2 emission reductions achievable through clean energy transitions.

Keywords:
CO2 emissionsCameroonForecastHousehold sectorPetroleum productsSequential-GMC(1,n)-GA hybrid model

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