Analysis of Demand and Supply of Electrical Energy in  Cameroon: Influence of Meteorological Parameters on the Monthly Power Peak of South and North Interconnected Electricity Networks

Flora Isabelle Métégam Fotsing; Donatien Njomo; Réné Tchinda

doi:doi:10.11648/j.ijepe.20140304.12

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Analysis of Demand and Supply of Electrical Energy in Cameroon: Influence of Meteorological Parameters on the Monthly Power Peak of South and North Interconnected Electricity Networks

Flora Isabelle Métégam Fotsing, Donatien Njomo, Réné Tchinda

Published in International Journal of Energy and Power Engineering (Volume 3, Issue 4)

Received: 17 July 2014 Accepted: 28 July 2014 Published: 10 August 2014

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Abstract

Following the unbalanced provision between supply and demand of electrical energy in Cameroon, it is necessary to perform an analysis of the data since it can provide essential information for an optimal management of the power supply system. This study presents on the one hand an analysis of electrical energy demand and supply in Cameroon, and, on the other hand, the modeling of the monthly peak of the main interconnected network in Cameroon, namely South Interconnected Networks (RIS) and North (RIN) networks using econometrical methods. Meteorological parameters (monthly maximal temperatures and humidity) are considered as exogenous variables of this application. Following the seasonality observed during various months, the introduction of terms of monthly seasonal as well as an average coefficient Ci peculiar to each month will also be introduced into the linear regression model to evaluate the most suitable one for this modeling. From the above analysis, it appears that meteorological parameters have a significant influence on the monthly peak in both networks. As well as the coefficients of these parameters are not the most significant of the various models, the absence of these parameters in different models leads to an increase Akaike (AIC) and Schwartz (SC) criteria. However, the best model is based on the minimum AIC and SC. The monthly peak in both systems is observed at the same time (20h) and one a working day. This peak may be influenced by other parameters such as the return to households and their consumption pattern, the type of equipment they use amongst other.

Published in	International Journal of Energy and Power Engineering (Volume 3, Issue 4)
DOI	10.11648/j.ijepe.20140304.12
Page(s)	168-185
Creative Commons	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.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Monthly Peak, Linear Regression Models, Meteorological Parameters, Network RIS and RIN, Modeling, Demand and Supply

References

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APA Style

Flora Isabelle Métégam Fotsing, Donatien Njomo, Réné Tchinda. (2014). Analysis of Demand and Supply of Electrical Energy in Cameroon: Influence of Meteorological Parameters on the Monthly Power Peak of South and North Interconnected Electricity Networks. International Journal of Energy and Power Engineering, 3(4), 168-185. https://doi.org/10.11648/j.ijepe.20140304.12

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ACS Style

Flora Isabelle Métégam Fotsing; Donatien Njomo; Réné Tchinda. Analysis of Demand and Supply of Electrical Energy in Cameroon: Influence of Meteorological Parameters on the Monthly Power Peak of South and North Interconnected Electricity Networks. Int. J. Energy Power Eng. 2014, 3(4), 168-185. doi: 10.11648/j.ijepe.20140304.12

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AMA Style

Flora Isabelle Métégam Fotsing, Donatien Njomo, Réné Tchinda. Analysis of Demand and Supply of Electrical Energy in Cameroon: Influence of Meteorological Parameters on the Monthly Power Peak of South and North Interconnected Electricity Networks. Int J Energy Power Eng. 2014;3(4):168-185. doi: 10.11648/j.ijepe.20140304.12

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@article{10.11648/j.ijepe.20140304.12,
  author = {Flora Isabelle Métégam Fotsing and Donatien Njomo and Réné Tchinda},
  title = {Analysis of Demand and Supply of Electrical Energy in  Cameroon: Influence of Meteorological Parameters on the Monthly Power Peak of South and North Interconnected Electricity Networks},
  journal = {International Journal of Energy and Power Engineering},
  volume = {3},
  number = {4},
  pages = {168-185},
  doi = {10.11648/j.ijepe.20140304.12},
  url = {https://doi.org/10.11648/j.ijepe.20140304.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20140304.12},
  abstract = {Following the unbalanced provision between supply and demand of electrical energy in Cameroon, it is necessary to perform an analysis of the data since it can provide essential information for an optimal management of the power supply system. This study presents on the one hand an analysis of electrical energy demand and supply in Cameroon, and, on the other hand, the modeling of the monthly peak of the main interconnected network in Cameroon, namely South Interconnected Networks (RIS) and North (RIN) networks using econometrical methods. Meteorological parameters (monthly maximal temperatures and humidity) are considered as exogenous variables of this application. Following the seasonality observed during various months, the introduction of terms of monthly seasonal as well as an average coefficient Ci peculiar to each month will also be introduced into the linear regression model to evaluate the most suitable one for this modeling. From the above analysis, it appears that meteorological parameters have a significant influence on the monthly peak in both networks. As well as the coefficients of these parameters are not the most significant of the various models, the absence of these parameters in different models leads to an increase Akaike (AIC) and Schwartz (SC) criteria. However, the best model is based on the minimum AIC and SC. The monthly peak in both systems is observed at the same time (20h) and one a working day. This peak may be influenced by other parameters such as the return to households and their consumption pattern, the type of equipment they use amongst other.},
 year = {2014}
}

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TY  - JOUR
T1  - Analysis of Demand and Supply of Electrical Energy in  Cameroon: Influence of Meteorological Parameters on the Monthly Power Peak of South and North Interconnected Electricity Networks
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.20140304.12
DO  - 10.11648/j.ijepe.20140304.12
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  - 168
EP  - 185
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.20140304.12
AB  - Following the unbalanced provision between supply and demand of electrical energy in Cameroon, it is necessary to perform an analysis of the data since it can provide essential information for an optimal management of the power supply system. This study presents on the one hand an analysis of electrical energy demand and supply in Cameroon, and, on the other hand, the modeling of the monthly peak of the main interconnected network in Cameroon, namely South Interconnected Networks (RIS) and North (RIN) networks using econometrical methods. Meteorological parameters (monthly maximal temperatures and humidity) are considered as exogenous variables of this application. Following the seasonality observed during various months, the introduction of terms of monthly seasonal as well as an average coefficient Ci peculiar to each month will also be introduced into the linear regression model to evaluate the most suitable one for this modeling. From the above analysis, it appears that meteorological parameters have a significant influence on the monthly peak in both networks. As well as the coefficients of these parameters are not the most significant of the various models, the absence of these parameters in different models leads to an increase Akaike (AIC) and Schwartz (SC) criteria. However, the best model is based on the minimum AIC and SC. The monthly peak in both systems is observed at the same time (20h) and one a working day. This peak may be influenced by other parameters such as the return to households and their consumption pattern, the type of equipment they use amongst other.
VL  - 3
IS  - 4
ER  -

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Author Information

Flora Isabelle Métégam Fotsing

Environmental Energy Technologies Laboratory (EETL), University of Yaounde I, PO Box 812, Yaounde, Cameroon; Laboratory of Industrial Systemsand Environment of the University of Dschang, PO BOX 96, Dschang, Cameroon
Donatien Njomo

Environmental Energy Technologies Laboratory (EETL), University of Yaounde I, PO Box 812, Yaounde, Cameroon
Réné Tchinda

Laboratory of Industrial Systemsand Environment of the University of Dschang, PO BOX 96, Dschang, Cameroon

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APA Style

Flora Isabelle Métégam Fotsing, Donatien Njomo, Réné Tchinda. (2014). Analysis of Demand and Supply of Electrical Energy in Cameroon: Influence of Meteorological Parameters on the Monthly Power Peak of South and North Interconnected Electricity Networks. International Journal of Energy and Power Engineering, 3(4), 168-185. https://doi.org/10.11648/j.ijepe.20140304.12

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ACS Style

Flora Isabelle Métégam Fotsing; Donatien Njomo; Réné Tchinda. Analysis of Demand and Supply of Electrical Energy in Cameroon: Influence of Meteorological Parameters on the Monthly Power Peak of South and North Interconnected Electricity Networks. Int. J. Energy Power Eng. 2014, 3(4), 168-185. doi: 10.11648/j.ijepe.20140304.12

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AMA Style

Flora Isabelle Métégam Fotsing, Donatien Njomo, Réné Tchinda. Analysis of Demand and Supply of Electrical Energy in Cameroon: Influence of Meteorological Parameters on the Monthly Power Peak of South and North Interconnected Electricity Networks. Int J Energy Power Eng. 2014;3(4):168-185. doi: 10.11648/j.ijepe.20140304.12

Copy | Download

@article{10.11648/j.ijepe.20140304.12,
  author = {Flora Isabelle Métégam Fotsing and Donatien Njomo and Réné Tchinda},
  title = {Analysis of Demand and Supply of Electrical Energy in  Cameroon: Influence of Meteorological Parameters on the Monthly Power Peak of South and North Interconnected Electricity Networks},
  journal = {International Journal of Energy and Power Engineering},
  volume = {3},
  number = {4},
  pages = {168-185},
  doi = {10.11648/j.ijepe.20140304.12},
  url = {https://doi.org/10.11648/j.ijepe.20140304.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20140304.12},
  abstract = {Following the unbalanced provision between supply and demand of electrical energy in Cameroon, it is necessary to perform an analysis of the data since it can provide essential information for an optimal management of the power supply system. This study presents on the one hand an analysis of electrical energy demand and supply in Cameroon, and, on the other hand, the modeling of the monthly peak of the main interconnected network in Cameroon, namely South Interconnected Networks (RIS) and North (RIN) networks using econometrical methods. Meteorological parameters (monthly maximal temperatures and humidity) are considered as exogenous variables of this application. Following the seasonality observed during various months, the introduction of terms of monthly seasonal as well as an average coefficient Ci peculiar to each month will also be introduced into the linear regression model to evaluate the most suitable one for this modeling. From the above analysis, it appears that meteorological parameters have a significant influence on the monthly peak in both networks. As well as the coefficients of these parameters are not the most significant of the various models, the absence of these parameters in different models leads to an increase Akaike (AIC) and Schwartz (SC) criteria. However, the best model is based on the minimum AIC and SC. The monthly peak in both systems is observed at the same time (20h) and one a working day. This peak may be influenced by other parameters such as the return to households and their consumption pattern, the type of equipment they use amongst other.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Analysis of Demand and Supply of Electrical Energy in  Cameroon: Influence of Meteorological Parameters on the Monthly Power Peak of South and North Interconnected Electricity Networks
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.20140304.12
DO  - 10.11648/j.ijepe.20140304.12
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  - 168
EP  - 185
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.20140304.12
AB  - Following the unbalanced provision between supply and demand of electrical energy in Cameroon, it is necessary to perform an analysis of the data since it can provide essential information for an optimal management of the power supply system. This study presents on the one hand an analysis of electrical energy demand and supply in Cameroon, and, on the other hand, the modeling of the monthly peak of the main interconnected network in Cameroon, namely South Interconnected Networks (RIS) and North (RIN) networks using econometrical methods. Meteorological parameters (monthly maximal temperatures and humidity) are considered as exogenous variables of this application. Following the seasonality observed during various months, the introduction of terms of monthly seasonal as well as an average coefficient Ci peculiar to each month will also be introduced into the linear regression model to evaluate the most suitable one for this modeling. From the above analysis, it appears that meteorological parameters have a significant influence on the monthly peak in both networks. As well as the coefficients of these parameters are not the most significant of the various models, the absence of these parameters in different models leads to an increase Akaike (AIC) and Schwartz (SC) criteria. However, the best model is based on the minimum AIC and SC. The monthly peak in both systems is observed at the same time (20h) and one a working day. This peak may be influenced by other parameters such as the return to households and their consumption pattern, the type of equipment they use amongst other.
VL  - 3
IS  - 4
ER  -

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