时间序列与神经网络法相结合的短期风速预测Short-Term Wind Speed Forecasting Combing Time Series and Neural Network Method
蔡凯;谭伦农;李春林;陶雪峰;
摘要(Abstract)：
利用时间序列-神经网络法研究了短期风速预测。该方法用时间序列模型来选择神经网络的输入变量,选用多层反向传播(back propagation,BP)神经网络和广义回归神经网络(generalized regression neural network,GRNN)分别对采样时间间隔为10min、20min和30min的风速序列进行预测。结果表明,时间序列结合GRNN的方法精度更高,具有一定的实用价值。
关键词(KeyWords)： 短期风速预测;风力发电;时间序列;人工神经网络
基金项目(Foundation):
作者(Author): 蔡凯;谭伦农;李春林;陶雪峰;
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参考文献(References)：
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