KFUPM ePrints

Artificial Neural Networks as Applied to Long-Term Demand Forecasting

Al-Saba, T. and Al-Amin, I.M (1999) Artificial Neural Networks as Applied to Long-Term Demand Forecasting. Journal of Artificial Intelligence in Engineering, 13 (2). pp. 189-197.

Full text not available from this repository.


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
Date:April 1999
Date Type:Publication
Divisions:College Of Engineering Sciences > Electrical Engineering Dept
Creators:Al-Saba, T. and Al-Amin, I.M
Email:UNSPECIFIED, imelamin@kfupm.edu.sa
ID Code:797
Deposited By:Obaid-Ur-Rehman Khattak
Deposited On:29 Mar 2008 10:08
Last Modified:12 Apr 2011 13:06

Repository Staff Only: item control page