Assessment of the potential for electricity savings in households in Cameroon: A stochastic frontier approach

Nsangou, Jean Calvin; Kenfack, Joseph; Nzotcha, Urbain; Tamo, Thomas Tatietse

doi:10.1016/j.energy.2020.118576

Cited by 10 publications

(7 citation statements)

References 31 publications

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“…In general, GMs may be divided into univariate ) and multivariate models (Amber et al, 2015(Amber et al, , 2018Arsel, 2014;Bento and Ramos, 2021;Bezuglov and Comert, 2016;Calvin Nsangou et al, 2020;Chen et al, 2019;Deng, 1982;Diboma and Tatietse, 2013;Dieudonne et al, 2022;Ding, 2019;Ding et al, 2017Ding et al, , 2021Ding et al, , 2022Ding and Li, 2020;Du et al, 2022;Guefano et al, 2021;Hamed et al, 2022;He et al, 2015;Hu et al, 2020;Huang et al, 2021; "IEA -International Energy Agency," 2022, Institut National de la Statistique du Cameroun, 2022, MINEE, 2011, SIE-Cameroon, 2015, SND30, 2020, World Development Indicators, 2022, World Energy Outlook-Analysis, 2022Kidmo et al, 2021;Kim and Kim, 2016;Kong et al, 2023;Lago et al, 2021;Li et al, 2022;Li and Zhang, 2021;Liu et al, 2021;Liu and Lin, 2011;Loi and Ng, 2018;Ma et al, 2019;Ma and Liu, 2016;Mao et al, 2015;Moyo, 2018;Muh et al, 2018;Nowotarski and Weron, 2018;…”

Section: Convolution Model To Electricity Demandmentioning

confidence: 99%

“…In this paper, the objective is to develop a mathematical model capable of forecasting annual electricity consumption using corresponding drivers. Calvin Nsangou et al (2020) and Tamba et al (2022) have identified drivers that affect electricity consumption in Cameroon. These include GDP per capita, population size, electricity consumption per capita and final expenditure on household consumption.…”

Section: This Study: Innovation Contributions and Goalsmentioning

confidence: 99%

“…In general, GMs may be divided into univariate (Sapnken and Tamba, 2022) and multivariate models (Amber et al. , 2015, 2018; Arsel, 2014; Bento and Ramos, 2021; Bezuglov and Comert, 2016; Calvin Nsangou et al. , 2020; Chen et al.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, the objective is to develop a mathematical model capable of forecasting annual electricity consumption using corresponding drivers. Calvin Nsangou et al. (2020) and Tamba et al.…”

Section: Introductionmentioning

confidence: 99%

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An optimal wavelet transform grey multivariate convolution model to forecast electricity demand: a novel approach

Sapnken,

Hamaidi,

Hamed

et al. 2023

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PurposeFor some years now, Cameroon has seen a significant increase in its electricity demand, and this need is bound to grow within the next few years owing to the current economic growth and the ambitious projects underway. Therefore, one of the state's priorities is the mastery of electricity demand. In order to get there, it would be helpful to have reliable forecasting tools. This study proposes a novel version of the discrete grey multivariate convolution model (ODGMC(1,N)).Design/methodology/approachSpecifically, a linear corrective term is added to its structure, parameterisation is done in a way that is consistent to the modelling procedure and the cumulated forecasting function of ODGMC(1,N) is obtained through an iterative technique.FindingsResults show that ODGMC(1,N) is more stable and can extract the relationships between the system's input variables. To demonstrate and validate the superiority of ODGMC(1,N), a practical example drawn from the projection of electricity demand in Cameroon till 2030 is used. The findings reveal that the proposed model has a higher prediction precision, with 1.74% mean absolute percentage error and 132.16 root mean square error.Originality/valueThese interesting results are due to (1) the stability of ODGMC(1,N) resulting from a good adequacy between parameters estimation and their implementation, (2) the addition of a term that takes into account the linear impact of time t on the model's performance and (3) the removal of irrelevant information from input data by wavelet transform filtration. Thus, the suggested ODGMC is a robust predictive and monitoring tool for tracking the evolution of electricity needs.

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Section: Convolution Model To Electricity Demandmentioning

confidence: 99%

Section: This Study: Innovation Contributions and Goalsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An optimal wavelet transform grey multivariate convolution model to forecast electricity demand: a novel approach

Sapnken,

Hamaidi,

Hamed

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Access to LPG increased from 463,331 homes in 2006 to 758,977 homes in 2017, with an average annual growth rate of 9.3%. The number of households in Cameroon is predicted to increase by 12–18% yearly between 2020 and 2030, reaching 2.5 million by 2035 [ 31 ]. Without an appropriate strategy, the share of LPG consumption in the household sector and overall LPG consumption will both be much higher than their current levels given the significant expected increase in the number of homes [ 32 ].…”

Section: Energy Demand Trends In Cameroon's Householdsmentioning

confidence: 99%