A novel forecasting model based on a hybrid processing strategy and an optimized local linear fuzzy neural network to make wind power forecasting: A case study of wind farms in China
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- 作者：Qingli Dong ; Yuhuan Sun ; Peizhi Li
- 关键词：Wind power ; Processing strategy ; Local linear fuzzy neural network ; Forecasting
- 刊名：Renewable Energy
- 出版年：2017
- 出版时间：March 2017
- 年：2017
- 卷：102
- 期：part_PA
- 页码：241-257
- 全文大小：4077 K
文摘
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The hybrid forecasting approach can improve the accuracy of wind power forecasting significantly.
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A novel integrated strategy has been developed to process the datasets and select the proper structure of input sets.
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Traditional local linear neural-fuzzy model is optimized by seeker optimization algorithm.
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The hybrid model outperforms than the traditional methods.