| Article ID: | iaor20011360 |
| Country: | United States |
| Volume: | 23 |
| Issue: | 8 |
| Start Page Number: | 649 |
| End Page Number: | 661 |
| Publication Date: | Jun 1999 |
| Journal: | International Journal of Energy Research |
| Authors: | Al-Shehri A. |
| Keywords: | neural networks, forecasting: applications |
An artificial neural network (ANN) model for forecasting the residential electrical energy (REE) in the Eastern Province of Saudi Arabia is presented. A comparison of the neural model with the polynomial fit is made for validation purposes. The results show that the forecasting of the REE predicted by the ANN is closer to the real data than that predicted by the polynomial fit model.