caa a22 4500 477034217 CHVBK 20180405111301.0 cr unu---uuuuu 170330e19961201xx s 000 0 eng 10.1007/BF00426024 doi (NATIONALLICENCE)springer-10.1007/BF00426024 Modelling the Belgian gas consumption using neural networks [Elektronische Daten] [J. Suykens, Ph. Lemmerling, W. Favoreel, B. de Moor, M. Crepel, P. Briol] In this paper an accurate neural network model is proposed for the gas consumption in Belgium. It is a static non-linear model, based on monthly data and contains the following inputs: temperature, difference between real and expected temperature, oil price, number of domestic clients and consumption by industry. Various interpretations are made on the identified models such as yearly error, normalized gas consumption, growth rate, uncertain linear model interpretation and sensitivity of the consumption with respect to the temperature. In contrast to traditional models, which depend only on the temperature, the present neural network models show excellent generalization ability, with small yearly errors on training and test set. Kluwer Academic Publishers, 1996 multi-layer perceptron nationallicence local optimization nationallicence non-linear modelling nationallicence time series nationallicence Suykens J. Department of Electrical Engineering, ESAT-SISTA, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, B-3001, Leuven (Heverlee), Belgium aut Lemmerling Ph Department of Electrical Engineering, ESAT-SISTA, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, B-3001, Leuven (Heverlee), Belgium aut Favoreel W. Department of Electrical Engineering, ESAT-SISTA, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, B-3001, Leuven (Heverlee), Belgium aut de Moor B. Department of Electrical Engineering, ESAT-SISTA, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, B-3001, Leuven (Heverlee), Belgium aut Crepel M. Electrabel, Regentlaan 8, B-1000, Brussel, Belgium aut Briol P. Electrabel, Regentlaan 8, B-1000, Brussel, Belgium aut Neural Processing Letters Kluwer Academic Publishers; http://www.wkap.nl 4/3(1996-12-01), 157-166 1370-4621 4:3<157 1996 4 11063 https://doi.org/10.1007/BF00426024 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00426024 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Suykens J. Department of Electrical Engineering, ESAT-SISTA, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, B-3001, Leuven (Heverlee), Belgium aut NATIONALLICENCE 700 1- Lemmerling Ph Department of Electrical Engineering, ESAT-SISTA, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, B-3001, Leuven (Heverlee), Belgium aut NATIONALLICENCE 700 1- Favoreel W. Department of Electrical Engineering, ESAT-SISTA, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, B-3001, Leuven (Heverlee), Belgium aut NATIONALLICENCE 700 1- de Moor B. Department of Electrical Engineering, ESAT-SISTA, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, B-3001, Leuven (Heverlee), Belgium aut NATIONALLICENCE 700 1- Crepel M. Electrabel, Regentlaan 8, B-1000, Brussel, Belgium aut NATIONALLICENCE 700 1- Briol P. Electrabel, Regentlaan 8, B-1000, Brussel, Belgium aut NATIONALLICENCE 773 0- Neural Processing Letters Kluwer Academic Publishers; http://www.wkap.nl 4/3(1996-12-01), 157-166 1370-4621 4:3<157 1996 4 11063 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer