期刊文献+

Elman神经网络在电力负荷预测中的应用 被引量:8

Application of Elman Neural Network in Power Load Forecasting
下载PDF
导出
摘要 利用Matlab构建Elman神经网络,并通过电力系统负荷预测世界竞赛提供的数据集来训练Elman网络,从而构建电力负荷预测模型,验证Elman神经网络在电力负荷预测中的可行性和准确性。 The Elman neural network is constructed by using Matlab,and the Elman network is trained through the data set provided by the power system load forecasting world competition to construct the electric load forecasting model and verify the feasibility and accuracy of Elman neural network in power load forecasting.
作者 钱忆钊 陈良 QIAN Yizhao;CHEN Liang(School of Mechanical and Electric Engineering,Soochow University,Suzhou 215021,China)
出处 《电工技术》 2019年第14期55-56,共2页 Electric Engineering
关键词 ELMAN神经网络 电力系统 负荷 预测 人工智能 Elman neural network power system load forecasting artificial intelligence
  • 相关文献

参考文献3

二级参考文献47

  • 1闫友彪,陈元琰.机器学习的主要策略综述[J].计算机应用研究,2004,21(7):4-10. 被引量:56
  • 2许世范,王雪松,郝继飞.Predicting Model for Complex Production Process Based on Dynamic Neural Network[J].Journal of China University of Mining and Technology,2001,11(1):20-23. 被引量:1
  • 3[1]M.I.Jordan,Attractor dynamics and parallelism in a connectionist sequential machhine"[C].Proceedings of the 8th Conference on Cognitive Science,1986:531-546.
  • 4[2]Jeffrey L.Eleman.Finding Structure in Time[J].Cognitive Science,1990,14:179-211.
  • 5[3]Levis.A.U,Narendra K.S.Control of nonlinear dynamical systems using neural networks-partⅡ:observability,identification,and contral[J].IEEE Trans on Neural Networks,1996,7(1):30-42
  • 6[4]G.Cybenko.Approximation by Superposition of a sigmoid function[J].Mathematics of Control,Signals and Systems,1989,2(3):303-314.
  • 7[5]J.W.Dong,J.X.Qian and Y.X.Sun.Recurrent neural networks for recursive identification of nonlinear dynamic process[C].Proceedings of the IEEE Intemational Conference on Industrial Technology,1994:794-798.
  • 8[6]D.P.Kwok,P.Wang,and K.Zhou.Process identifyieation using a modified Eleman neural network[C]International Sympoeium on Speech,Image Proeessing and Neural Networks,1994:499-502.
  • 9[7]X.Z.Gao,X.M.Cao,and S.J.Ovaska,A modified Eleman neural network model with application to dynamical systems identifyieation[C].Proceedings of IEEE International Conference on System,Man and Cybeme1996(2):1376-1381.
  • 10[8]W.Chagra,R B.Abdennour,F.Bouani,F.Bouani,M.Ksouri,and G.Favier.A Comparetive study on the channel modeling using feedforward and recurrent neural network structures[C].Proeeedings of the IEEE International Confemaee on System,Man and Cybemetics,1998(4).3785-3763.

共引文献21

同被引文献89

引证文献8

二级引证文献36

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部