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Forecasting of Weekly Electricity Consumption Using Neural Networks
Ringwood, John; Murray, F.T.
Neural networks have been shown to be effective in modelling time series, with applications in the forecasting of electricity consumption. In applying neural networks to weekly electricity consumption data, several issues, such as selection of network architecture, network structure and input structure need to be addressed. This paper addresses these issues in relation to the current application and also demonstrates that considerable value is to be gained from incorporating the lessons learned from linear time series modelling into the current nonlinear analysis. Results for national Irish weekly electricity data demonstrate the potential improvements which can be obtained using the neural network approach.
Keyword(s): Time series modelling; neural networks; electrical energy consumption
Publication Date:
1996
Type: Book chapter
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): Ringwood, John and Murray, F.T. (1996) Forecasting of Weekly Electricity Consumption Using Neural Networks. In: Proceedings of the Irish DSP and Control Colloquium (IDSPCC '96). Dublin, June 1996.
Publisher(s): Dublin, June 1996
File Format(s): other
Related Link(s): http://eprints.maynoothuniversity.ie/9530/1/JR-Forecasting-2006.pdf
First Indexed: 2018-06-12 06:00:11 Last Updated: 2018-06-12 06:00:11