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电力负荷预测的遗传神经网络模型研究
引用本文:贾正源,牛东晓.电力负荷预测的遗传神经网络模型研究[J].运筹与管理,2000,9(2):31-36.
作者姓名:贾正源  牛东晓
作者单位:华北电力大学电经系,河北保定071003
基金项目:中华电力教育基金资助项目!( 97-H1 2 )
摘    要:根据电力负荷预测的特点,提出遗传神经网络负荷预测模型,有效地克服了人工神经网络学习速度慢、存在局部极小点的固有缺陷,经实例验证,该方法能有效地提高预测精度和速度。

关 键 词:电力负荷预测  遗传算法  神经网络  预测精度

Genetic Neural Network Model Research for Power Load Forecasting
JIA Zheng yuan,NIU Dong xiao.Genetic Neural Network Model Research for Power Load Forecasting[J].Operations Research and Management Science,2000,9(2):31-36.
Authors:JIA Zheng yuan  NIU Dong xiao
Abstract:According to the trait of the power load forecasting. this paper proposes the genetic neural network load forecasting model. The intrinsic defects of artificial neural network, e.g., its slow learning speed. existence of partial minimum points, are solved. It can be seen from the example, the method can effectively improve the forecasting accuracy and speed.
Keywords:genetic algorithm  neural network  load forecasting  forecasting accuracy
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