| 基于LM算法的BP神经网络的电力负荷短期预测 |
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| 引用本文：刘进波， 陈鑫， 李新花.基于LM算法的BP神经网络的电力负荷短期预测[J].经济数学,2015,(2):34-38 |
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| 中文摘要:通过对BP神经网络输入负荷值的归一化处理，同时采用Levenberg-Marquardt（LM）算法，建立了一个改进了的BP神经网络，同时用它来对电力系统进行短期负荷预测.LM算法有效地提高了BP神经网络的收敛速度和负荷的预测精度.仿真结果表明，改进了的BP神经网络具有很高的预测精度和较强的适用能力. |
| 中文关键词:BP神经网络 电力负荷预测 LM算法 |
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| Power System Short-Term Load Forecasting Based on Levenberg-Marquardt Algorithm BP Neural Network |
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| Abstract:By utilizing the normalization for the input load values of BP neural network and adopting Levenberg-Marquardt algorithm, this paper established an improved BP neural network and investigated the power system short-term load forecasting. Levenberg-Marquardt algorithm improves the convergence speed and the load forecast accuracy. The simulation results show that the improved BP neural network can offer higher forecast precision and has greater applicability. |
| keywords:BP neural network Power load forecasting Levenberg-Marquardt algorithm |
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