| 应用递归人工神经网络预测电力短期负荷 |
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| 引用本文： | 段玉波,曲薇薇,周群,张彦辉.应用递归人工神经网络预测电力短期负荷[J].佳木斯工学院学报,2010(3):372-375. |
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| 作者姓名： | 段玉波 曲薇薇 周群 张彦辉 |
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| 作者单位： | 东北石油大学,黑龙江大庆163318 |
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| 摘 要： | 介绍了神经网络的基本原理,使用递归人工神经网络模型对电力短期负荷进行预测,采用了梯度下降法,来提高训练的收敛速度,预测仿真结果表明,使用递归神经网络预测比传统的预测方法更准确.
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| 关 键 词： | 人工神经网络 递归神经网络 负荷预测 |
Using Recurrent Artificial Neural Net to Predict Short -term Load |
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| Affiliation: | DUAN Yu - bo , QU Wei - wei , ZHOU Qun, ZHANG Yah- hui ( Northeast Petroleum University, Daqing 163318, China) |
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| Abstract: | This paper introduced the principles of neural networks and used Recurrent Artificial Neural Network（RANN） to forecast short term load. In order to improve the training speed, grads descension was adopted. Simulation result shows that the RANN is better than the traditional method. |
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| Keywords: | artificial neural network recurrent artificial neural network load forecasting |
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