| 基于改进Elman神经网络的风速预测 |
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| 引用本文： | 张超,常太华,刘欢,胡阳.基于改进Elman神经网络的风速预测[J].华东电力,2012(8):1412-1414. |
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| 作者姓名： | 张超 常太华 刘欢 胡阳 |
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| 作者单位： | 华北电力大学控制与计算机工程学院 |
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| 基金项目： | 国家自然科学基金重点项目(51036002)~~ |
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| 摘 要： | 指出风速预测对并网风力发电系统的运行有重要意义。为提高风速预测精度,提出了一种基于改进的Elman神经网络风速预测方法,利用误差反向传播的方法来确定反馈增益γ值。分别采用改进Elman神经网络与BP神经网络建立模型,对实际历史风速数据进行仿真预测。利用风电厂实际数据验证,并阐述了仿真结果。
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| 关 键 词： | Elman神经网络 风速预测 预测模型 BP神经网络 |
Wind Speed Forecast Based on Improved Elman Neural Network |
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| ZHANG Chao,CHANG Tai-hua,LIU Huan,HU Yang.Wind Speed Forecast Based on Improved Elman Neural Network[J].East China Electric Power,2012(8):1412-1414. |
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| Authors: | ZHANG Chao CHANG Tai-hua LIU Huan HU Yang |
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| Affiliation: | (School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China) |
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| Abstract: | Wind speed forecast is of significance for the operation of grid-connected wind power generation systems.In order to improve the forecast precision,a method based on improved Elman neural network is proposed,where back propagation method is used to confirm the value of Feedback gainγ.The forecast model is established by using improved Elman neural network and BP neural network respectively,and applied to simulate and forecast the real historical wind speed data.The actual data of wind plant has verified the simulation results. |
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| Keywords: | Elman neural network wind speed forecasting forecasting model BP neural network |
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