Forecasting with Neural Networks Models

Francis Bismans and Igor N. Litvine

Working Papers of BETA from Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg

Abstract: This paper deals with so-called feedforward neural network model which we consider from a statistical and econometric viewpoint. It was shown how this model can be estimated by maximum likelihood. Finally, we apply the ANN methodology to model demand for electricity in South Africa. The comparison of forecasts based on a linear and ANN model respectively shows the usefulness of the latter.

Keywords: Artificial neural networks (ANN); electricity consumption; forecasting; linear and non-linear models; recessions. (search for similar items in EconPapers)
JEL-codes: C45 C53 E17 E27 Q43 Q47 (search for similar items in EconPapers)
Date: 2016
New Economics Papers: this item is included in nep-cmp, nep-ene, nep-ets, nep-for, nep-mac and nep-ore
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Persistent link: https://EconPapers.repec.org/RePEc:ulp:sbbeta:2016-28

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