Short-term prediction of wind power based on IPSO-LSSVM

被引：0
|
作者：
Wang, He [1 ]
Hu, Zhi-Jian [1 ]
Zhang, Yi-Hui [2 ]
Zhang, Zi-Yong [1 ]
Zhang, Cheng-Xue [1 ]
机构：
[1] School of Electrical Engineering, Wuhan University, Wuhan 430072, China
[2] Guangxi Electric Power Research Institute, Nanning 530023, China
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2012年 / 40卷 / 24期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
23
引用
收藏
页码：107 / 112
相关论文
共 50 条
  • [1] GIS Fault Prediction Approach Based on IPSO-LSSVM Algorithm
    Zhao, Hengyang
    Zhang, Guobao
    Yang, Xi
    SUSTAINABILITY, 2023, 15 (01)
  • [2] Short-term prediction of wind power based on EEMD-ACS-LSSVM
    Jiang, Guimin
    Chen, Zhijun
    Li, Xiaozhu
    Yan, Xueqin
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2020, 41 (05): : 77 - 84
  • [3] Short-term wind power prediction based on LSSVM-GSA model
    Yuan, Xiaohui
    Chen, Chen
    Yuan, Yanbin
    Huang, Yuehua
    Tan, Qingxiong
    ENERGY CONVERSION AND MANAGEMENT, 2015, 101 : 393 - 401
  • [4] Short-term PV power prediction based on VMD-CNN-IPSO-LSSVM hybrid model
    Jiang, Jianjian
    Hu, Shizhao
    Xu, Liang
    Wang, Tianlin
    INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES, 2024, 19 : 1160 - 1167
  • [5] SHORT-TERM WIND POWER PREDICTION BASED ON VMD-BOA-LSSVM-AdaBoost
    Shi P.
    Wei X.
    Zhang C.
    Xie L.
    Ye J.
    Yang J.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2024, 45 (01): : 226 - 233
  • [6] Surface roughness prediction of end milling process based on IPSO-LSSVM
    Duan, Chunzheng
    Hao, Qinglong
    JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING, 2014, 8 (03):
  • [7] Prediction of TBM boring speed based on IPSO-LSSVM parameter optimization algorithm
    Zhipeng Lu
    Kebin Shi
    Renyi Shi
    Tao Fu
    Jianming Zhang
    Hongze Shan
    Arabian Journal of Geosciences, 2023, 16 (8)
  • [8] SHORT-TERM WIND POWER FORECASTING BASED ON VMD-SSA-LSSVM
    Wang W.
    Wei Y.
    Teng X.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2023, 44 (03): : 204 - 211
  • [9] Short-Term Prediction of Wind Power Based on Deep Long Short-Term Memory
    Qu Xiaoyun
    Kang Xiaoning
    Zhang Chao
    Jiang Shuai
    Ma Xiuda
    2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2016, : 1148 - 1152
  • [10] Short-term wind power prediction based on combined long short-term memory
    Zhao, Yuyang
    Li, Lincong
    Guo, Yingjun
    Shi, Boming
    Sun, Hexu
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2024, 18 (05) : 931 - 940
12345