2008
DOI: 10.1016/j.apenergy.2006.09.012
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Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector

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Cited by 230 publications
(91 citation statements)
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“…After considering the various computation methods, our choice for the estimation of household energy consumption based on non-technical factors is an artificial neural network based inference system, the support for which is confirmed by Aydinalp-Koksal and Ugursal [5], according to whom, such models are suitable for considering technical parameters, as well as, social and economic conditions.…”
Section: Selection Of the Proper Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…After considering the various computation methods, our choice for the estimation of household energy consumption based on non-technical factors is an artificial neural network based inference system, the support for which is confirmed by Aydinalp-Koksal and Ugursal [5], according to whom, such models are suitable for considering technical parameters, as well as, social and economic conditions.…”
Section: Selection Of the Proper Methodsmentioning
confidence: 99%
“…The simultaneous use of two sources of statistics might appear strange, but there are plenty of examples in the international literature, for similar reasons, as we have listed. Also, on the topic of energy consumption, Aydinalp Koksal and Ugursal [5] are developing their own database based on two sets of statistics in an examination of the energy consumption of Canadian households.…”
Section: Data Sourcementioning
confidence: 99%
“…Because of that, the demonstrative settlements are parceled (divided) into eight "Real Urban Areas" with similar buildings on each particular parcel; ( The value of fuel consumption depends on heating insulation of the building. Energy consumption in the residential sector can be determined according to various methods shown in an available literature [39]. Therefore, the "Heat Load" depends on heating insulation of the building.…”
Section: Case Study; Application Under Real Conditionsmentioning
confidence: 99%
“…The residential sector consumes approximately 30% of global primary energy [2]. Households accounted for 25 % of total energy use in the EU27 in 2007 [3], for 17% in 2003 in Canada [4], and for 33% in Spain [6]. In the UK, the residential sector accounted for 27% energy-related CO 2 emissions [5] and for 26.5% in Ireland [7].…”
Section: Introductionmentioning
confidence: 99%