A novel hybrid approach for predicting wind farm power production based on wavelet transform, hybrid neural networks and imperialist competitive algorithm
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- 作者：Afshin Aghajani a_aghajani@sut.ac.ir" class="auth_mail" title="E-mail the corresponding author ; Rasool Kazemzadeh ; r.kazemzadeh@sut.ac.ir" class="auth_mail" title="E-mail the corresponding author ; Afshin Ebrahimi aebrahimi@sut.ac.ir" class="auth_mail" title="E-mail the corresponding author
- 关键词：Neural networks ; Imperialist competitive algorithm ; Wavelet transform ; Wind power forecasting ; Forecasting engine
- 刊名：Energy Conversion and Management
- 出版年：2016
- 出版时间：1 August 2016
- 年：2016
- 卷：121
- 期：Complete
- 页码：232-240
- 全文大小：1438 K
文摘
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Proposing a novel hybrid method for short-term prediction of wind farms with high accuracy.
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Investigating the prediction accuracy for proposed method in comparison with other methods.
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Investigating the effect of six types of parameters as input data on predictions.
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Comparing results for 6 & 4 types of the input parameters – addition of pressure and air humidity.