EDEE - Um Sistema Computacional para Previsão da Demanda de Energia Eléctrica Através da Técnica de Generação de Cenários
Abstract
For power planning development, it's indispensable to forecast
the electric energy consumption. However, this analysis is much
dependent on socio-economic parameters, seldom considered in these studies. Nowadays, there is a consensus that simple
tendency extrapolations will normally lead to bad results, specially for unstable economic environment countries.
To avoid this kind of problem explained above, it was developed a theoric and computational model for eletric power consumption simulation, that uses demographic and economic parameters for the country as a whole and/or for the geoqraphic regions.
the electric energy consumption. However, this analysis is much
dependent on socio-economic parameters, seldom considered in these studies. Nowadays, there is a consensus that simple
tendency extrapolations will normally lead to bad results, specially for unstable economic environment countries.
To avoid this kind of problem explained above, it was developed a theoric and computational model for eletric power consumption simulation, that uses demographic and economic parameters for the country as a whole and/or for the geoqraphic regions.
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PDFAsociación Argentina de Mecánica Computacional
Güemes 3450
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Phone: 54-342-4511594 / 4511595 Int. 1006
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E-mail: amca(at)santafe-conicet.gov.ar
ISSN 2591-3522