One-Hour-Ahead Wind Power Forecast Using Hybrid Grey Models
This paper proposes two hybrid grey-based short-term wind power prediction techniques: GM(1,1)-ARMA and GM(1,1)-NARnet. These techniques are combined with ARMA models and nonlinear autoregressive neural network (NARnet) models, respectively. The efficiency of these algorithms is examined using a rec...
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| Main Author: | Osman, Ahmed (author) |
|---|---|
| Other Authors: | Hassan, Mohamed (author), Marzbani, Fatemeh (author), Landolsi, Taha (author) |
| Format: | article |
| Published: |
2016
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/11073/16312 |
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