| 改进的BP算法在短期负荷预测中的应用 |
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| 引用本文： | 米阳,朱旺青,李正辉. 改进的BP算法在短期负荷预测中的应用[J]. 上海电力学院学报, 2011, 27(1): 14-18 |
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| 作者姓名： | 米阳 朱旺青 李正辉 |
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| 作者单位： | 上海电力学院电力与自动化工程学院,上海,200090 |
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| 摘 要： | 提出了一种改进的BP神经网络学习算法,并将其应用于短期电力负荷预测中,通过采用基于响应函数输出限幅和自适应调整学习率等措施,来提高神经网络本身的效率和精度,仿真结果验证了改进措施的有效性,取得了满意的预测结果.
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| 关 键 词： | 神经网络 BP算法 短期负荷预测 |
| 收稿时间： | 2010-09-13 |
Improved BP Network and Its Application for Short-term Load Forecasting |
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| MI YANG,ZHU Wang-qing and LI Zheng-hui. Improved BP Network and Its Application for Short-term Load Forecasting[J]. Journal of Shanghai University of Electric Power, 2011, 27(1): 14-18 |
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| Authors: | MI YANG ZHU Wang-qing LI Zheng-hui |
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| Affiliation: | (School of Electric Power and Automation Engineering,Shanghai University of Electric Power,Shanghai 200090,China) |
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| Abstract: | An improved BP neural network learning algorithm is applied to short-term load forecasting based on the response function output limiting and adaptive measures to improve the precision and efficiency of the neural network.The simulation result shows the validity of the improvement measures,which can achieve the satisfactory forecasting result. |
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| Keywords: | neural network BP algorithm short-term load forecasting |
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