Short-term wind speed forecasting using a hybrid model

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• 作者：Ping Jiang^a ; Yun Wang^b ; ^{wangyun15@tju.edu.cn} ; Jianzhou Wang^a
• 关键词：Grey correlation analysis ; v-SVM ; Cuckoo search algorithm ; Wind speed forecasting ; Accuracy tests
• 刊名：Energy
• 出版年：2017
• 出版时间：15 January 2017
• 年：2017
• 卷：119
• 期：Complete
• 页码：561-577
• 全文大小：3922 K
• 卷排序：119

文摘

The proposed hybrid model takes advantage of the fluctuation information of the adjacent WTGs. The relational degree between all inputs and the target is analyzed by grey relation analysis. Predictive accuracy tests show that CS is more efficient than PSO in optimizing parameters in v-SVM. The performances of v-SVM and ε-SVM produce no obvious differences in short-term wind speed forecasting in our study. The hybrid model can improve forecasting accuracy for single WTG.