| 一种短期负荷预测的自适应神经网络方法 |
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| 引用本文： | 王晓文,刘宝贵.一种短期负荷预测的自适应神经网络方法[J].沈阳工程学院学报(自然科学版),1999(2). |
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| 作者姓名： | 王晓文 刘宝贵 |
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| 作者单位： | 沈阳电力高等专科学校电力系!沈阳110036(王晓文)，沈阳电力高等专科学校电力系(刘宝贵) |
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| 摘 要： | 提出了自适应BP神经网络模型预测短期负荷的方法。依据负荷的日相关性把历史负荷分成24组样本数据，再用BP网络来映射样本数据。采用初始化样本数据，增大节点作用函数陡度，变换隐层节点作用函数形式，自适应调整学习参数等方法提高了BP网络的学习速度，得到了较为满意的预报结果．
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| 关 键 词： | 人工神经网络 BP算法 负荷预测 |
An Adaptive Artificial Neural Network Approach to Short Term Load Forecasting |
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| Wang Xiaowen, Liu Baogui.An Adaptive Artificial Neural Network Approach to Short Term Load Forecasting[J].Journal of Shenyang Institute of Engineering:natural Science,1999(2). |
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| Authors: | Wang Xiaowen Liu Baogui |
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| Abstract: | Presents an adaptive BP artificial neural network approach to short term load forecasting. Based on daily relationship, the available historical load data are divided into 24 sample groups. BP network is used to map these sample data. To improve the speed of BP learning, some measures are taken such as initialization of sample data, transformation of node function, magnification of nede function gradient, adaptation of learning rate. The result obtained is satisfactory. |
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| Keywords: | artificial neural network BP algorithm short-term load forecasting |
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