Ultra-short-term wind speed prediction based on spectral clustering and optimized extreme learning machine

被引：0
|
作者：
School of Economics and Management, North China Electric Power University, Changping District, Beijing [1 ]
102206, China
机构：
来源：
Dianwang Jishu | / 5卷 / 1307-1314期
关键词：
Number:; 70901025; Acronym:; -; Sponsor:;
D O I：
10.13335/j.1000-3673.pst.2015.05.021
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] A novel ultra-short-term wind speed prediction method based on dynamic adaptive continued fraction
    Jin, Ji
    Tian, Jinyu
    Yu, Min
    Wu, Yong
    Tang, Yuanyan
    CHAOS SOLITONS & FRACTALS, 2024, 180
  • [32] Ultra-short-term wind speed prediction based on deep spatial-temporal residual network
    Liang, Xinhao
    Hu, Feihu
    Li, Xin
    Zhang, Lin
    Feng, Xuan
    Abu Gunmi, Mohammad
    JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2023, 15 (04)
  • [33] A novel decomposition-ensemble prediction model for ultra-short-term wind speed
    Tian, Zhongda
    Chen, Hao
    Energy Conversion and Management, 2021, 248
  • [34] A novel decomposition-ensemble prediction model for ultra-short-term wind speed
    Tian, Zhongda
    Chen, Hao
    ENERGY CONVERSION AND MANAGEMENT, 2021, 248
  • [35] An ultra-short-term prediction method for wind speed series based on Gaussian process median regression
    Wang, Lupan
    Li, Ke
    Ji, Zhengping
    Zhang, Chenghui
    PROCEEDINGS OF THE 15TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2020), 2020, : 495 - 499
  • [36] A Hybrid Model for GRU Ultra-Short-Term Wind Speed Prediction Based on Tsfresh and Sparse PCA
    Wang, Yaqi
    Gui, Renzhou
    ENERGIES, 2022, 15 (20)
  • [37] ADAPTIVE ULTRA-SHORT-TERM WIND SPEED PREDICTION MODEL CONSIDERING ERROR INFORMATION
    Zhang J.
    Liu Z.
    Sun A.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2024, 45 (03): : 18 - 28
  • [38] Short term wind speed prediction based on CEESMDAN and improved seagull optimization kernel extreme learning machine
    Qin, Xiwen
    Yuan, Liping
    Dong, Xiaogang
    Zhang, Siqi
    Shi, Hongyu
    EARTH SCIENCE INFORMATICS, 2025, 18 (01)
  • [39] A review on short-term and ultra-short-term wind power prediction
    Xue, Yusheng
    Yu, Chen
    Zhao, Junhua
    Li, Kang
    Liu, Xueqin
    Wu, Qiuwei
    Yang, Guangya
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2015, 39 (06): : 141 - 151
  • [40] Ultra-short-term Wind Power Prediction Based on Chaotic CSO Optimized Temporal Attention GRU Model
    Meng A.
    Chen S.
    Wang C.
    Ding W.
    Cai Y.
    Fu J.
    Zhou H.
    Dianwang Jishu/Power System Technology, 2021, 45 (12): : 4692 - 4700
12345