Short-term wind power probability density prediction based on long short term memory network quantile regression

被引：0
|
作者：
Yin, Hao [1 ]
Huang, Shengquan [1 ]
Meng, Anbo [1 ]
Liu, Zhe [1 ]
机构：
[1] College of Automation, Guangdong University of Technology, Guangzhou,510006, China
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2021年 / 42卷 / 02期
关键词：
D O I：
10.19912/j.0254-0096.tynxb.2018-0922
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：150 / 156
相关论文
共 50 条
  • [1] Ultra short term probability prediction of wind power based on wavelet decomposition and long short-term memory network
    Wang, Peng
    Sun, Yonghui
    Thai, Suwei
    Wu, Xiaopeng
    Zhou, Yan
    Hou, Dongchen
    [J]. PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 2061 - 2066
  • [2] Probability Prediction of Short-Term Wind Power Based on Quantile Regression Forest and Variable Bandwidth
    Shi, Kunpeng
    Zhao, Wei
    Li, Ting
    Wang, Zeyi
    Liu, Zhijun
    Feng, Yu
    [J]. 2021 IEEE IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (IEEE I&CPS ASIA 2021), 2021, : 1206 - 1213
  • [3] Short-Term Prediction of Wind Power Based on Deep Long Short-Term Memory
    Qu Xiaoyun
    Kang Xiaoning
    Zhang Chao
    Jiang Shuai
    Ma Xiuda
    [J]. 2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2016, : 1148 - 1152
  • [4] Short-term wind power prediction based on combined long short-term memory
    Zhao, Yuyang
    Li, Lincong
    Guo, Yingjun
    Shi, Boming
    Sun, Hexu
    [J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2024, 18 (05) : 931 - 940
  • [5] Composite Quantile Regression Long Short-Term Memory Network
    Xie, Zongxia
    Wen, Hao
    [J]. ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2019: TEXT AND TIME SERIES, PT IV, 2019, 11730 : 513 - 524
  • [6] Composite Quantile Regression Long Short-Term Memory Network
    College of Intelligence and Computing, Tianjin University, Tianjin
    300350, China
    [J]. Lect. Notes Comput. Sci., (513-524):
  • [7] A long short-term memory based wind power prediction method
    Huang, Yufeng
    Ding, Min
    Fang, Zhijian
    Wang, Qingyi
    Tan, Zhili
    Lil, Danyun
    [J]. 2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 5927 - 5932
  • [8] Wind Power Prediction based on Recurrent Neural Network with Long Short-Term Memory Units
    Dong, Danting
    Sheng, Zhihao
    Yang, Tiancheng
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY AND POWER ENGINEERING (REPE 2018), 2018, : 34 - 38
  • [9] Short-Term Photovoltaic Power Forecast Based on Long Short-Term Memory Network
    Shi, Min
    Xu, Ke
    Wang, Jue
    Yin, Rui
    Wang, Tieqiang
    Yong, Taiyou
    Hongyuan, Tianjin
    [J]. PROCEEDINGS OF 2019 IEEE 3RD INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC), 2019, : 2110 - 2116
  • [10] Short-term power load probability density forecasting based on quantile regression neural network and triangle kernel function
    He, Yaoyao
    Xu, Qifa
    Wan, Jinhong
    Yang, Shanlin
    [J]. ENERGY, 2016, 114 : 498 - 512
12345