Artificial neural networks as applied to long-term demand forecasting

Authors
Al-Saba, T El-Amin, I
Citation
T. Al-saba et I. El-amin, Artificial neural networks as applied to long-term demand forecasting, ARTIF INT E, 13(2), 1999, pp. 189-197
Citations number
15
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
ARTIFICIAL INTELLIGENCE IN ENGINEERING
ISSN journal
09541810 → ACNP
Volume
13
Issue
2
Year of publication
1999
Pages
189 - 197
Database
ISI
SICI code
0954-1810(199904)13:2<189:ANNAAT>2.0.ZU;2-U
Abstract
This paper reports on the application of Artificial Neural Networks (ANN) t o 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 mod els. 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: d emand of a Middle Eastern utility up to the year 2006. The results compare favorably with the utility's forecast. (C) 1999 Elsevier Science Ltd. All r ights reserved.