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.
| Original language | English |
|---|---|
| Pages (from-to) | 189-197 |
| Number of pages | 9 |
| Journal | Artificial Intelligence in Engineering |
| Volume | 13 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1999 |
Bibliographical note
Funding Information:The authors acknowledge the support and facilities of King Fahd University of Petroleum and Minerals Dhahran 31261, Saudi Arabia
Keywords
- Artificial neural networks
- Electric utilities
- Load forecasting
ASJC Scopus subject areas
- General Computer Science
- General Engineering
Fingerprint
Dive into the research topics of 'Artificial neural networks as applied to long-term demand forecasting'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver