| 基于人工神经元网络的电力系统短期负荷预报的实用计算 |
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| 引用本文： | 颜霞,许克明.基于人工神经元网络的电力系统短期负荷预报的实用计算[J].贵州工业大学学报(自然科学版),1996(5). |
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| 作者姓名： | 颜霞 许克明 |
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| 作者单位： | 贵州电力试验研究所，贵州工学院电工系 |
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| 摘 要： | 本文针对贵州电力系统日负荷的特点，提出了一种利用人工神经网络（ＡＮＮ）的ＢＰ模型进行电力系统提前２４小时的短期负荷预报的实用计算方法。进一步对ＢＰ模型的隐合层数和隐合节点数的选取进行定性的分析，同时探讨学习因子和动量项对学习收敛的影响分析，预测方法及结果得到肯定。
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| 关 键 词： | 电力系统 短期负荷预报 人工神经网络（ANN） 反向传播学习算法（BP） |
ALGORITHM FOR ELECTRICAL POWER SYSTEM'S SHORT TERM LOAD FORECASTING BASED ON ARTIFICIAL NECURAL NETWORK |
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| Yan Xia.ALGORITHM FOR ELECTRICAL POWER SYSTEM''''S SHORT TERM LOAD FORECASTING BASED ON ARTIFICIAL NECURAL NETWORK[J].Journal of Guizhou University of Technology(Natural Science Edition),1996(5). |
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| Authors: | Yan Xia |
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| Abstract: | Considering the peculiarities of Guizhou power system load,this paper presents analgorithm of short term load forecasting with a load time up to 24 hours ahead using BPmodal of Artificial Necural Network (ANN).Further analysis of the choice of BP model's hidden layers and hidden nodes and studying of the learning rate and momentum term affecting the learning,the methods and resultsof forecast are compared. |
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| Keywords: | electrical power system: short term load forecasting Artificial Necural Network(ANN ) Back propagation (BP ) |
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