| 人工神经网络在中长期电力负荷预测中的应用 |
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| 引用本文： | 朱继萍,戴君.人工神经网络在中长期电力负荷预测中的应用[J].西安文理学院学报,2007,10(2):84-87. |
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| 作者姓名： | 朱继萍 戴君 |
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| 作者单位： | 西安文理学院机械电子工程系 陕西西安710065 |
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| 基金项目： | 西安文理学院校科研和教改项目 |
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| 摘 要： | 设计了一个由输入层、隐含层和输出层组成的三层BP网络模型,利用神经网络高度非线性建模能力,进行电力系统的中长期负荷预测.选取影响电力负荷的一些经济因素作为神经网络的输入变量,并对分别采用单个因素和多个因素的组合作为输入量对预测精度的影响进行了探讨.在多因素组合时对输入量进行了归一化处理.仿真结果证明,使用人工神经网络方法进行中长期电力负荷预测是可行和有效的.
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| 关 键 词： | 人工神经网络 BP算法 中长期负荷预测 |
| 文章编号： | 24486598 |
| 修稿时间： | 10 13 2006 12:00AM |
Application of Artificial Neural Network in Medium and Long-term Electric Load Forecasting |
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| ZHU Ji-ping,DAI Jun.Application of Artificial Neural Network in Medium and Long-term Electric Load Forecasting[J].Journal of Xi‘an University of Arts & Science:Natural Science Edition,2007,10(2):84-87. |
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| Authors: | ZHU Ji-ping DAI Jun |
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| Abstract: | A three-layer back propagation(BP) network was proposed,which consisted of an input layer,an implicit one and an output one.The medium and long-term load of electric power was forecast by using the ability of ANN to nonlinear system.Some economical factors were selected as inputs for the proposed ANN.Forecasting accuracy was discussed with the input of single factor and combinatorial factor respectively.Inputs were normalized with combinatorial factor.Simulation results show that the proposed method is feasible and effective. |
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| Keywords: | artificial neural network back propagation(BP) algorithms medium and long-term load forecasting |
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