Artificial Neural Networks as Applied to Long-Term Demand Forecasting

(1999) Artificial Neural Networks as Applied to Long-Term Demand Forecasting. Journal of Artificial Intelligence in Engineering, 13 (2). pp. 189-197.

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Abstract

This paper reports on the application of Artificial Neural Networks (ANN) to long-term load forecasting. The ANN model is used to forecast the energy requirements of an electric utility. It is then compared to time series models. The comparison reveals that the ANN produces results that are close to the actual data. The ANN model is then used to forecast the annual peak demand of a Middle Eastern utility up to the year 2006. The results compare favorably with the utility’s forecast.

Item Type: Article
Subjects: Electrical
Divisions: College Of Engineering Sciences > Electrical Engineering Dept
Depositing User: Obaid-Ur-Rehman Khattak
Date Deposited: 29 Mar 2008 10:08
Last Modified: 01 Nov 2019 16:25
URI: http://eprints.kfupm.edu.sa/id/eprint/797