| 采用改进BP神经网络算法预测短期电力负荷 |
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| 引用本文： | 倪方云,程浩忠. 采用改进BP神经网络算法预测短期电力负荷[J]. 供用电, 2008, 25(2): 16-19 |
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| 作者姓名： | 倪方云 程浩忠 |
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| 作者单位： | 上海交通大学电气工程系,上海,200240;上海交通大学电气工程系,上海,200240 |
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| 摘 要： | 介绍了BP神经网络算法的原理以及对其采用非线性阻尼最小二乘法Levenberg-Marquardt进行优化的的方法。针对短期电力负荷的特点,设计了预测短期电力负荷的BP神经网络模型和预测流程,并结合具体实例,采用MATLAB神经网络工具箱编程。与实例结果的比较表明,此方法预测短期电力负荷具有实用价值。
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| 关 键 词： | 电力负荷预测 人工神经网络 BP算法 |
| 文章编号： | 1006-6357(2008)02-0016-04 |
| 修稿时间： | 2008-02-01 |
Improved neural network BP algorithm based on prediction of short-term power load |
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| NI Fangyun,CHENG Haozhong. Improved neural network BP algorithm based on prediction of short-term power load[J]. Distribution & Utilization, 2008, 25(2): 16-19 |
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| Authors: | NI Fangyun CHENG Haozhong |
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| Abstract: | This paper introduces the principle of neural network BP algorithm and Levenberg-Marquardt optimization method adopting non-linear damping least square method,designs an improved neural network BP model and predicting process to predict short-term power load according to its load characteristic,calculates an practical example with MATLAB.The comparison of calculation result shows that this method is practically valuable to predict short-term electric load. |
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| Keywords: | power load prediction artificial neural network BP algorithm |
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