| 基于气象负荷因子的Elman神经网络短期负荷预测 |
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| 引用本文： | 朱晟,蒋传文,侯志俭.基于气象负荷因子的Elman神经网络短期负荷预测[J].电力系统及其自动化学报,2005,17(1):23-26. |
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| 作者姓名： | 朱晟 蒋传文 侯志俭 |
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| 作者单位： | 上海交通大学电子信息与电气工程学院,上海,200240 |
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| 摘 要： | 针对地区电网负荷易受气候影响的特点，引入气象负荷因子，提出了一种综合考虑各项气象因素．采用Elman反馈神经网络的短期负荷预测模型。由于Elman神经网络具有动态递归性能．可增强负荷预测模型的适应性。经上海电网实际数据的预测仿真计算，证明此方法与传统神经网络预测模型相比．既能减少输入变量个数，又能有效地提高预测精度。
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| 关 键 词： | 短期负荷预测 Elman神经网络 气象负荷因子 |
| 文章编号： | 1003-8930(2005)01-0023-04 |
| 修稿时间： | 2004年3月5日 |
Application of a Weather Component Based Elman Neural Network to Short-Term Load Forecasting |
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| ZHU Sheng,JIANG Chuan-wen,HOU Zhi-jian.Application of a Weather Component Based Elman Neural Network to Short-Term Load Forecasting[J].Proceedings of the CSU-EPSA,2005,17(1):23-26. |
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| Authors: | ZHU Sheng JIANG Chuan-wen HOU Zhi-jian |
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| Abstract: | According to the influence of weather factors on load this paper provides a shor t-term load forecasting model based on Elman neural network with a weather comp onent.Because of its inherent dynamic behavior and robustness it is proved by si mulation results that this model has a good performance in decreasing number of inputs as well as increasing forecasting accuracy. |
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| Keywords: | short-term load forecasting Elman neural networ k weather component |
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