Neural networks in forecasting electrical energy consumption
This paper presents an artificial neural network (ANN) approach to electric energy consumption (EEC) forecasting in Lebanon. In order to provide the forecasted energy consumption, the ANN interpolates among the EEC and its determinants in a training data set. In this study, four ANN models are prese...
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| Main Author: | Nasr, George (author) |
|---|---|
| Other Authors: | Badr, E.A. (author), Younes, M.R. (author) |
| Format: | article |
| Published: |
2002
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| Online Access: | http://hdl.handle.net/10725/3160 http://dx.doi.org/10.1002/er.766 http://onlinelibrary.wiley.com/doi/10.1002/er.766/full |
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