Application for Short-term Power Load Forecasting Using Improved Wavelet Neural Networks Based On GA

被引：1
|
作者：
Jia Zheng-yuan
Tian Li
Zhao Dan
机构：
来源：
2008 INTERNATIONAL CONFERENCE ON RISK MANAGEMENT AND ENGINEERING MANAGEMENT, ICRMEM 2008, PROCEEDINGS | 2008年
关键词：
Genetic Algorithms; Wavelet; Wavelet Neural Networks; Short-term Power Load Forecasting;
D O I：
10.1109/ICRMEM.2008.40
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper optimizes the Wavelet Neural Networks with Genetic Algorithms which has the optimization of the overall search capabilities, and establishes the model of Wavelet Neural Networks based on Genetic Algorithms. It overcomes the shortcomings of BP neural network for their own, and it can get higher accuracy and faster convergence. The examples also show that the model can improve forecast accuracy effectively, reducing the error of load forecasting, and the inherent defects of BP neural network have been avoid.
引用
收藏
页码：353 / 356
页数：4
相关论文
共 50 条
  • [31] Short-term load forecasting in power system based on wavelet coefficient and BP neural network
    Song, Ren-Jie
    Bian, Yi-Xin
    Yan, Miao
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2009, 37 (15): : 87 - 90
  • [32] Short-term Load Forecasting in Power System Based on Wavelet Coefficients and BP Neural Network
    Song, Renjie
    Bian, Yixin
    2009 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), VOLS 1-7, 2009, : 2047 - 2050
  • [33] Short-term load forecasting in an autonomous power system using artificial neural networks
    Kiartzis, SJ
    Zoumas, CE
    Theocharis, JB
    Bakirtzis, AG
    Petridis, V
    IEEE TRANSACTIONS ON POWER SYSTEMS, 1997, 12 (04) : 1591 - 1596
  • [34] Bivariate wavelet threshold denoising and improved chaotic forecasting model and its application in short-term power load forecasting
    Zhang, Shuqing
    Shi, Rongyan
    Dong, Yulan
    Li, Pan
    Ren, Shuang
    Jiang, Wanlu
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2015, 35 (22): : 5723 - 5730
  • [35] Short-term wind power forecasting using wavelet-based neural network
    Abhinav, Rishabh
    Pindoriya, Naran M.
    Wu, Jianzhong
    Long, Chao
    PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY, 2017, 142 : 455 - 460
  • [36] Short-term wind power forecasting in Portugal by neural networks and wavelet transform
    Catalao, J. P. S.
    Pousinho, H. M. I.
    Mendes, V. M. F.
    RENEWABLE ENERGY, 2011, 36 (04) : 1245 - 1251
  • [37] Short-term load forecasting based on the neural networks with load characteristics distilling
    Ding, Jianyong
    Liu, Yun
    Gaodianya Jishu/High Voltage Engineering, 2004, 30 (12):
  • [38] Short-Term Wind Power Forecasting using Wavelet-based Hybrid Recurrent Dynamic Neural Networks
    Singh P.K.
    Singh N.
    Negi R.
    International Journal of Performability Engineering, 2019, 15 (07) : 1772 - 1782
  • [39] An improved short-term load forecasting based on fractal interpretation and wavelet analysis
    Liu, Ying
    Zhai, Mingyue
    Liu, Yongxiao
    Xing, Linmin
    Dianwang Jishu/Power System Technology, 2013, 37 (01): : 276 - 280
  • [40] Short-term load forecasting based on ant colony clustering and improved bp neural networks
    Meng, Ming
    Lu, Jian-Chang
    Sun, Wei
    PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 3012 - +
12345