| 基于灰色理论与BP神经网络的电力负荷预报 |
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| 引用本文： | 朱建良,闻彦,李国辉. 基于灰色理论与BP神经网络的电力负荷预报[J]. 电机与控制学报, 2006, 10(4): 440-442 |
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| 作者姓名： | 朱建良 闻彦 李国辉 |
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| 作者单位： | 哈尔滨理工大学,电气与电子工程学院,黑龙江,哈尔滨,150040;哈尔滨市市郊农电局,黑龙江,哈尔滨,150076 |
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| 摘 要： | 为了提高电力负荷预报的精确度和稳定性，基于灰色理论和BP神经网络，提出了电力负荷预报方法。该方法在预测精确度和稳定性方面都比单一的灰色理论预报方法有明显的提高。经实例预测表明，此方法的预报相对误差可以达到1．69％以内。
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| 关 键 词： | 灰色理论 BP神经网络 电力负荷预报 |
| 文章编号： | 1007-449X（2006）04-0440-03 |
| 收稿时间： | 2005-04-06 |
| 修稿时间： | 2005-12-13 |
The forecasting of the electric power load based on the gray theory and BP neuron network |
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| ZHU Jian-liang,WEN Yan,LI Guo-hui. The forecasting of the electric power load based on the gray theory and BP neuron network[J]. Electric Machines and Control, 2006, 10(4): 440-442 |
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| Authors: | ZHU Jian-liang WEN Yan LI Guo-hui |
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| Abstract: | To increase the accuracy and stability of the forecasting of the electric power load, this paper puts forward an estimating method of the electric power load according to the gray theory and BP neuron network. The method improves obviously the accuracy and stability of forecasting compared to the single gray theory estimating method. The relative error lower 1.69% by forecasting example. |
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| Keywords: | gray theory BP neuron network forecasting of the electric power load |
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