| 应用人工神经网络算法进行短期负荷预测 |
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| 引用本文： | 朱斌,刘晓军.应用人工神经网络算法进行短期负荷预测[J].江苏电机工程,2006,25(1):57-58,61. |
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| 作者姓名： | 朱斌 刘晓军 |
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| 作者单位： | 湖北省荆门供电公司,湖北,荆门,448000 |
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| 摘 要： | 针对电力负荷预测对Kohonen网的聚类能力和BP网的非线性拟合功能进行了讨论,提出了一种建立负荷日类型模型的方法,并在此基础上用Kohonen网和BP网组合而成的神经网络模型来进行短期负荷预测,提高了负荷预测的精度。
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| 关 键 词： | 短期负荷预测 Kohonen网 BP网 |
| 文章编号： | 1009-0665（2006）01-0057-02 |
| 收稿时间： | 2005-06-06 |
| 修稿时间： | 2005-06-062005-09-27 |
The Discussion of Short-term Load Forecasting Applying Manual Neural Network Arithmetic |
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| ZHU Bin,LIU Xiao-jun.The Discussion of Short-term Load Forecasting Applying Manual Neural Network Arithmetic[J].Jiangsu Electrical Engineering,2006,25(1):57-58,61. |
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| Authors: | ZHU Bin LIU Xiao-jun |
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| Affiliation: | Hubei Jingmen Power Supply Company, Jingmen 448000, China |
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| Abstract: | Load forecasting is one of the important works of electric department.In this paper,the clustering ability of Kohonen network and the nonlinear similarity function of BP network are discussed,and a load day model is proposed.The NN(neural network) that composed of Kohonen network and BP network is introduced into short term load forecasting,which improves the precision of short-term load forecasting.The effectiveness of the model has been verified by actual application. |
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| Keywords: | short-term load forecasting Kohonen network BP network |
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