One-Hour-Ahead Wind Power Forecast Using Hybrid Grey Models

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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Bibliographic Details
Main Author: Osman, Ahmed (author)
Other Authors: Hassan, Mohamed (author), Marzbani, Fatemeh (author), Landolsi, Taha (author)
Format: article
Published: 2016
Subjects:
Wind power forecasting
Wind energy prediction
Time series analysis
ARMA models
Grey theory
GM(1,1)
GM(1,1)-ARMA
GM(1,1)-NARnet
neural networks
Online Access:http://hdl.handle.net/11073/16312
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http://hdl.handle.net/11073/16312

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