| 基于粒子群优化RP网络短期电力负荷预测方法 |
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| 引用本文： | 姚刚,陈政石,李晓竹.基于粒子群优化RP网络短期电力负荷预测方法[J].茂名学院学报,2011,21(6):47-50. |
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| 作者姓名： | 姚刚 陈政石 李晓竹 |
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| 作者单位： | 1. 广东石油化工学院计算机与电子信息学院,广东茂名,525000
2. 辽宁工程技术大学电气与控制工程学院,辽宁葫芦岛,125105 |
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| 摘 要： | 针对常规BP网络收敛速度慢，易陷入局部极小值等问题，采用L—M算法对网络进行训练，利用改进粒子群算法优化BP网络初始权值和阈值。将该方法应用在南方某市短期电网负荷预测中，预测结果表明，相较于常规BP网络、L—M算法改进预测模型，该预测算法在预测结果精度和速度上均有较大幅度提高。
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| 关 键 词： | 电力负荷短期预测 BP网络 L—M算法 粒子群算法 |
BP Network Based on Particle Swarm Optimization of Short-term Electric Load Forecasting |
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| YAO Gang,CHEN Zheng-shi,LI Xiao-zhu.BP Network Based on Particle Swarm Optimization of Short-term Electric Load Forecasting[J].Journal of Maoming College,2011,21(6):47-50. |
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| Authors: | YAO Gang CHEN Zheng-shi LI Xiao-zhu |
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| Institution: | YAO Gang1,2,CHEN Zheng-shi1,LI Xiao-zhu2(1.College of Electronic Information and Computer,Guangdong University of Petrochemical Technology,Maoming 525000,China,2.Institute of Electrical and Control Engineering,Liaoning Technical University,Huludao125105,China) |
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| Abstract: | As conventional BP network for the slow convergence and easy to fall into local minimum problem,the use of LM algorithm for network training,the improved particle swarm optimization BP network initial weights and threshold.Application of this method in the text grid in a city short-term load forecasting,showed that compared with conventional BP network,L-M algorithm to improve prediction models.This article describes the results of the prediction algorithm in the prediction accuracy and speed have increased... |
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| Keywords: | short-term power load forecasting BP network L-M algorithm Partial Swarm Optimization Algorithm |
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