Wind speed forecasting model study based on Support Vector Machine

被引:0
|
作者
Zhang, Hua [1 ]
Zeng, Jie [1 ]
机构
[1] School of Renewable Energy, North China Electric Power University, Beijing 102206, China
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:928 / 932
相关论文
共 50 条
  • [41] Nonlinear Combinational Forecasting Based on Support Vector Machine
    Zhao, Wenqing
    Jiang, Bo
    [J]. JOURNAL OF COMPUTERS, 2010, 5 (02) : 234 - 241
  • [42] Forecasting volatility based on wavelet support vector machine
    Tang, Ling-Bing
    Tang, Ling-Xiao
    Sheng, Huan-Ye
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (02) : 2901 - 2909
  • [43] Groundwater Level Forecasting based on Support Vector Machine
    Zhao, Weiguo
    Wang, Huan
    Wang, Zijun
    [J]. FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE, PTS 1-4, 2011, 44-47 : 1365 - 1369
  • [44] Environmental Noise Forecasting Based on Support Vector Machine
    Fu, Yumei
    Zan, Xinwu
    Chen, Tianyi
    Xiang, Shihan
    [J]. 2017 INTERNATIONAL CONFERENCE ON OPTICAL INSTRUMENTS AND TECHNOLOGY: OPTOELECTRONIC IMAGING/SPECTROSCOPY AND SIGNAL PROCESSING TECHNOLOGY, 2017, 10620
  • [45] Study on urban short-term gas load forecasting based on support vector machine model
    Zhang, Chao
    Liu, Yi
    Zhang, Hui
    Huang, Hong
    [J]. Qinghua Daxue Xuebao/Journal of Tsinghua University, 2014, 54 (03): : 320 - 325
  • [46] Day-Ahead Wind Speed Forecasting Using Relevance Vector Machine
    Sun, Guoqiang
    Chen, Yue
    Wei, Zhinong
    Li, Xiaolu
    Cheung, Kwok W.
    [J]. JOURNAL OF APPLIED MATHEMATICS, 2014,
  • [47] Noise model based v-support vector regression with its application to short-term wind speed forecasting
    Hu, Qinghua
    Zhang, Shiguang
    Xie, Zongxia
    Mi, Jusheng
    Wan, Jie
    [J]. NEURAL NETWORKS, 2014, 57 : 1 - 11
  • [48] A Novel Empirical Mode Decomposition With Support Vector Regression for Wind Speed Forecasting
    Ren, Ye
    Suganthan, Ponnuthurai Nagaratnam
    Srikanth, Narasimalu
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 27 (08) : 1793 - 1798
  • [49] Short-term Wind Speed Forecasting using Support Vector Machines
    Pinto, Tiago
    Ramos, Sergio
    Sousa, Tiago M.
    Vale, Zita
    [J]. 2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN DYNAMIC AND UNCERTAIN ENVIRONMENTS (CIDUE), 2014, : 40 - 46
  • [50] A support vector machine for model selection in demand forecasting applications
    Villegas, Marco A.
    Pedregal, Diego J.
    Trapero, Juan R.
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2018, 121 : 1 - 7