In this paper, the demand of Low Voltage electricity customers in Cameroon using electricity as an energy source beginning from the period 1975 to 2011 is modeled. This approach aims to study the consumption determinants (macro- economic indicators, demographic indicators and lagged consumption of low voltage electricity) of low Voltage Customers and to analyze those determinants that have a strong influence on consumption. Parameters estimated by EVIEWS 7.2 software for linear and exponential (CooB-Douglas) models were used. The results show that CooB-Douglass models are better than the linear model. It also shows that: (i) the best linear model is a function of delayed consumption〖 C〗_(t-1) ; overall gross domestic product ((〖GDP_g)〗_t) and population (P_t ); (ii) the best model CooB-Douglas is a function of delayed consumption〖 C〗_(t-1) , the global gross domestic product ((〖GDP_g)〗_t) and the number of subscribers (S_t). It noticed that the macroeconomic indicators have a better influence on demographic consumer’s indicators and that the absence of the delayed consumption variable in a model causes autocorrelation of the residuals models.
Published in | International Journal of Energy and Power Engineering (Volume 3, Issue 4) |
DOI | 10.11648/j.ijepe.20140304.13 |
Page(s) | 186-203 |
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2014. Published by Science Publishing Group |
Consumption of Low Voltage Electricity, Linear Regression Models, Macro- Economic Indicators, CooB-Douglass Models, Socio-Economic Parameters, Demographic Indicators, Modeling
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APA Style
Flora Isabelle Métégam Fotsing, Donatien Njomo, Réné Tchinda. (2014). Influence of Socio-Economic Indicators on Electricity Consumption of Low Voltage Customers in Cameroon. International Journal of Energy and Power Engineering, 3(4), 186-203. https://doi.org/10.11648/j.ijepe.20140304.13
ACS Style
Flora Isabelle Métégam Fotsing; Donatien Njomo; Réné Tchinda. Influence of Socio-Economic Indicators on Electricity Consumption of Low Voltage Customers in Cameroon. Int. J. Energy Power Eng. 2014, 3(4), 186-203. doi: 10.11648/j.ijepe.20140304.13
AMA Style
Flora Isabelle Métégam Fotsing, Donatien Njomo, Réné Tchinda. Influence of Socio-Economic Indicators on Electricity Consumption of Low Voltage Customers in Cameroon. Int J Energy Power Eng. 2014;3(4):186-203. doi: 10.11648/j.ijepe.20140304.13
@article{10.11648/j.ijepe.20140304.13, author = {Flora Isabelle Métégam Fotsing and Donatien Njomo and Réné Tchinda}, title = {Influence of Socio-Economic Indicators on Electricity Consumption of Low Voltage Customers in Cameroon}, journal = {International Journal of Energy and Power Engineering}, volume = {3}, number = {4}, pages = {186-203}, doi = {10.11648/j.ijepe.20140304.13}, url = {https://doi.org/10.11648/j.ijepe.20140304.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20140304.13}, abstract = {In this paper, the demand of Low Voltage electricity customers in Cameroon using electricity as an energy source beginning from the period 1975 to 2011 is modeled. This approach aims to study the consumption determinants (macro- economic indicators, demographic indicators and lagged consumption of low voltage electricity) of low Voltage Customers and to analyze those determinants that have a strong influence on consumption. Parameters estimated by EVIEWS 7.2 software for linear and exponential (CooB-Douglas) models were used. The results show that CooB-Douglass models are better than the linear model. It also shows that: (i) the best linear model is a function of delayed consumption〖 C〗_(t-1) ; overall gross domestic product ((〖GDP_g)〗_t) and population (P_t ); (ii) the best model CooB-Douglas is a function of delayed consumption〖 C〗_(t-1) , the global gross domestic product ((〖GDP_g)〗_t) and the number of subscribers (S_t). It noticed that the macroeconomic indicators have a better influence on demographic consumer’s indicators and that the absence of the delayed consumption variable in a model causes autocorrelation of the residuals models.}, year = {2014} }
TY - JOUR T1 - Influence of Socio-Economic Indicators on Electricity Consumption of Low Voltage Customers in Cameroon AU - Flora Isabelle Métégam Fotsing AU - Donatien Njomo AU - Réné Tchinda Y1 - 2014/08/10 PY - 2014 N1 - https://doi.org/10.11648/j.ijepe.20140304.13 DO - 10.11648/j.ijepe.20140304.13 T2 - International Journal of Energy and Power Engineering JF - International Journal of Energy and Power Engineering JO - International Journal of Energy and Power Engineering SP - 186 EP - 203 PB - Science Publishing Group SN - 2326-960X UR - https://doi.org/10.11648/j.ijepe.20140304.13 AB - In this paper, the demand of Low Voltage electricity customers in Cameroon using electricity as an energy source beginning from the period 1975 to 2011 is modeled. This approach aims to study the consumption determinants (macro- economic indicators, demographic indicators and lagged consumption of low voltage electricity) of low Voltage Customers and to analyze those determinants that have a strong influence on consumption. Parameters estimated by EVIEWS 7.2 software for linear and exponential (CooB-Douglas) models were used. The results show that CooB-Douglass models are better than the linear model. It also shows that: (i) the best linear model is a function of delayed consumption〖 C〗_(t-1) ; overall gross domestic product ((〖GDP_g)〗_t) and population (P_t ); (ii) the best model CooB-Douglas is a function of delayed consumption〖 C〗_(t-1) , the global gross domestic product ((〖GDP_g)〗_t) and the number of subscribers (S_t). It noticed that the macroeconomic indicators have a better influence on demographic consumer’s indicators and that the absence of the delayed consumption variable in a model causes autocorrelation of the residuals models. VL - 3 IS - 4 ER -