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2012
DOI: 10.1016/j.energy.2012.06.020
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Conditional dynamic forecast of electrical energy consumption requirements in Ghana by 2020: A comparison of ARDL and PAM

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Cited by 66 publications
(44 citation statements)
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References 40 publications
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“…prices, income and urbanisation), but instead, exhibits a gradual response towards the long‐run equilibrium. In other words, the response of the LPG consumption to shocks (changes) in its determinants exhibits some form of inertia, hence the actual value of LPG at time t is a compromise between its value at t − 1 and the value justified by the current value of the regressors (Erdogdu, ; Adom and Bekoe, ).…”
Section: Methodsmentioning
confidence: 99%
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“…prices, income and urbanisation), but instead, exhibits a gradual response towards the long‐run equilibrium. In other words, the response of the LPG consumption to shocks (changes) in its determinants exhibits some form of inertia, hence the actual value of LPG at time t is a compromise between its value at t − 1 and the value justified by the current value of the regressors (Erdogdu, ; Adom and Bekoe, ).…”
Section: Methodsmentioning
confidence: 99%
“…Likewise, Inglesi () employed the Engle and Granger approach to forecast electricity demand for South Africa. Finally, Adom and Bekoe () compared forecast results of the ARDL and PAM, and again concludes that the former is more efficient for forecast than the latter.…”
Section: Literaturementioning
confidence: 98%
See 1 more Smart Citation
“…It suffices to mention here that, in Ghana, as a developing country; building adaptations and retrofitting is akin to building transformations/ extensions (Adarkwa, 2012;Oppong and Brown, 2012;Oppong and Adarkwa, 2008;Andersen et al, 2006;Adarkwa and Oppong, 2005;Tipple, 2000;Tipple et al, 1994) with little or zero emphasis on retrofitting. Whilst adaptation and retrofitting place emphasis on green agenda of climate change in the western countries; developing countries such as Ghana, apparently, retrofit and adapt existing buildings to gain more space for commoditization with no considerations for green agenda in terms of materials and components of sustainable building designs and construction; even though, Ghana as most developing countries faces serious energy challenges (Adom and Bekoe, 2012;Sekyere et al, 2012;Perez-Fortes et al, 2012;Nankani, n.d.).…”
Section: Introductionmentioning
confidence: 98%
“…Adom and Bekoe [12] forecasted electricity consumption of Ghana using an autoregressive distributed lag and partial adjustment models. Nai-Ming, et al [13] used grey and Markov models to predict China's energy demand.…”
mentioning
confidence: 99%