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    Forecasting of Weekly Electricity Consumption Using Neural Networks


    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.

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    Abstract

    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.

    Item Type: Book Section
    Keywords: Time series modelling; neural networks; electrical energy consumption;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 9530
    Depositing User: Professor John Ringwood
    Date Deposited: 11 Jun 2018 15:04
    Publisher: Dublin, June 1996
    Refereed: Yes
    URI:

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