Bootstrap Prediction Interval Estimation for Wind Speed Forecasting

被引:0
|
作者
Errouissi, Rachid [1 ]
Cardenas-Barrera, Julian [2 ]
Meng, Julian [2 ]
Castillo-Guerra, Eduardo [2 ]
Gong, Xun [2 ]
Chang, Liuchen [2 ]
机构
[1] Petr Inst, Dept Elect Engn, Abu Dhabi, U Arab Emirates
[2] Univ New Brunswick, Dept Elect & Comp Engn, Fredericton, NB, Canada
关键词
prediction interval; uncertainty; probabilistic forecasting; bootstrap; wind energy; POWER; UNCERTAINTY;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In this work we apply a bootstrap method to obtain probabilistic forecasts from past single-valued forecasts offered by a Numerical Weather Prediction model. The potential of the proposed method is assessed with real data from four wind farms in Eastern Canada. The methodology can be extended to other existing point forecasting methods.
引用
收藏
页码:1919 / 1924
页数:6
相关论文
共 50 条
  • [41] Wind Power Deterministic Prediction and Uncertainty Quantification Based on Interval Estimation
    Huang, Hui
    Jia, Rong
    Liang, Jun
    Dang, Jian
    Wang, Zhengmian
    JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME, 2021, 143 (06):
  • [42] Research of Wind Speed and Wind Power Forecasting
    Zheng Xiaoxia
    Fu Yang
    RENEWABLE AND SUSTAINABLE ENERGY, PTS 1-7, 2012, 347-353 : 611 - 614
  • [43] Wind speed and wind power forecasting models
    Lydia, M.
    Kumar, G. Edwin Prem
    Akash, R.
    ENERGY & ENVIRONMENT, 2024,
  • [44] Interval Wind-Speed Forecasting Model Based on Quantile Regression Bidirectional Minimal Gated Memory Network and Kernel Density Estimation
    Qin, Xiwen
    Sheng, Han
    Dong, Xiaogang
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2023, 48 (02) : 1625 - 1639
  • [45] Interval Wind-Speed Forecasting Model Based on Quantile Regression Bidirectional Minimal Gated Memory Network and Kernel Density Estimation
    Xiwen Qin
    Han Sheng
    Xiaogang Dong
    Arabian Journal for Science and Engineering, 2023, 48 : 1625 - 1639
  • [46] RESEARCH ON WIND SPEED INTERVAL PREDICTION BASED ON HYBRID DEEP LEARNING MODEL
    Ma C.
    Wang C.
    Wang X.
    Zhang H.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2023, 44 (03): : 139 - 146
  • [47] Dynamic time scan forecasting for multi-step wind speed prediction
    Costa, Marcelo Azevedo
    Ruiz-Cardenas, Ramiro
    Mineti, Leandro Brioschi
    Prates, Marcos Oliveira
    RENEWABLE ENERGY, 2021, 177 : 584 - 595
  • [48] Ultra short term wind speed interval prediction based on a hybrid model
    Zhang J.
    Liu Z.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2022, 50 (22): : 49 - 58
  • [49] Dynamic time scan forecasting for multi-step wind speed prediction
    Costa, Marcelo Azevedo
    Ruiz-Cárdenas, Ramiro
    Mineti, Leandro Brioschi
    Prates, Marcos Oliveira
    Renewable Energy, 2021, 177 : 584 - 595
  • [50] Interval Estimation of Wind Power Forecasting Error Based on Ramp Features and Cloud Model
    Qiao Y.
    Han L.
    Li M.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2022, 46 (11): : 75 - 84