| 风电场风速的神经网络组合预测模型 |
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| 引用本文： | 戴浪,黄守道,黄科元,叶盛.风电场风速的神经网络组合预测模型[J].电力系统及其自动化学报,2011,23(4):27-31. |
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| 作者姓名： | 戴浪 黄守道 黄科元 叶盛 |
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| 作者单位： | 湖南大学电气与信息工程学院,长沙,410082 |
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| 基金项目： | 国家自然科学基金项目(50907020) |
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| 摘 要： | 针对BP神经网络、RBF神经网络和粒子群BP神经网络在风电场风速预测中存在的问题,提出一种基于遗传算法优化神经网络的风速组合预测模型.该模型为单输出的3层前馈网络,将3种神经网络的预测结果与预测结果平均值作为神经网络的输入,将实际风速值作为神经网络输出,使学习后的网络具有预测能力.该模型能降低单一模型的预测风险,提高预...
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| 关 键 词： | 风速预测 组合预测模型 遗传算法 神经网络 粒子群优化 |
Combination Forecasting Model Based on Neural Networks for Wind Speed in Wind Farm |
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| DAI Lang,HUANG Shou-dao,HUANG Ke-yuan,YE Sheng.Combination Forecasting Model Based on Neural Networks for Wind Speed in Wind Farm[J].Proceedings of the CSU-EPSA,2011,23(4):27-31. |
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| Authors: | DAI Lang HUANG Shou-dao HUANG Ke-yuan YE Sheng |
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| Affiliation: | DAI Lang,HUANG Shou-dao,HUANG Ke-yuan,YE Sheng(College of Electrical and Information Engineering,Hunan University,Changsha 410082,China) |
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| Abstract: | To solve the problems existing in the wind speed forecasting of wind farms by back propagation(BP) neural network,radial basis function(RBF) neural network and particle swarm optimization(PSO) neural network,a combined wind speed forecasting model based on artificial neural network(ANN) optimized by genetic algorithm(GA) is proposed.This model is a BP neural network with three layers and a one neuron output.The forecasted results of the three mentioned neural networks and the average of the forecasted resul... |
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| Keywords: | wind speed forecasting combined forecasting model genetic algorithm artificial neural network particle swarm optimization |
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