One day ahead prediction of wind speed and direction

被引：96
|
作者：
El-Fouly, Tarek H. M. [1 ]
EI-Saadany, Ehab F. [1 ]
Salama, Magdy M. A. [1 ]
机构：
[1] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada
来源：
IEEE TRANSACTIONS ON ENERGY CONVERSION | 2008年 / 23卷 / 01期
关键词：
least-square method; prediction; time series; wind;
D O I：
10.1109/TEC.2007.905069
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：
This paper presents a new technique for predicting wind speed and direction. This technique is based on using a linear time-series-based model relating the predicted interval to its corresponding one- and two-year old data. The accuracy of the model for predicting wind speeds and directions up to 24 h ahead have been investigated using two sets of data recorded during winter and summer season at Madison weather station. Generated results are compared with their corresponding values when using the persistent model. The presented results validate the effectiveness and accuracy of the proposed prediction model for wind speed and direction.
引用
收藏
页码：191 / 201
页数：11
相关论文
共 50 条
  • [41] Multivariate Modelling and Prediction of Hourly One-Day Ahead Prices at Nordpool
    Andersson, Jonas
    Lillestol, Jostein
    ENERGY, NATURAL RESOURCES AND ENVIRONMENTAL ECONOMICS, 2010, : 133 - 154
  • [42] A Deep Learning Framework for Day Ahead Wind Power Short-Term Prediction
    Xu, Peihua
    Zhang, Maoyuan
    Chen, Zhenhong
    Wang, Biqiang
    Cheng, Chi
    Liu, Renfeng
    APPLIED SCIENCES-BASEL, 2023, 13 (06):
  • [43] Day-Ahead Wind Power Forecasting in Poland Based on Numerical Weather Prediction
    Bochenek, Bogdan
    Jurasz, Jakub
    Jaczewski, Adam
    Stachura, Gabriel
    Sekula, Piotr
    Strzyzewski, Tomasz
    Wdowikowski, Marcin
    Figurski, Mariusz
    ENERGIES, 2021, 14 (08)
  • [44] 24 Hour Step Ahead Wind Speed/Wind Power Prediction Using A Novel Kalman Filter Bank Prediction Estimator
    Lynch, Conor
    O'Mahony, Michael J.
    Guinee, Richard A.
    PROCEEDINGS OF ASME 9TH INTERNATIONAL CONFERENCE ON ENERGY SUSTAINABILITY, 2015, VOL 2, 2016,
  • [45] Spatio-Temporal Prediction of Wind Speed and Direction by Continuous Directional Regime
    Dowell, Jethro
    Weiss, Stephan
    Infield, David
    2014 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS), 2014,
  • [46] Short-term spatio-temporal prediction of wind speed and direction
    Dowell, Jethro
    Weiss, Stephan
    Hill, David
    Infield, David
    WIND ENERGY, 2014, 17 (12) : 1945 - 1955
  • [47] Wind Power Business Day-ahead Market Strategy Bidding Considering Allowable Deviation and Wind Speed Distribution
    Song, Yi
    Zhang, Xiangyu
    Li, Dan
    Xue, Zhengyu
    Tan, Zhongfu
    Du, Zhengdong
    PROCEEDINGS OF THE 2016 5TH INTERNATIONAL CONFERENCE ON ENVIRONMENT, MATERIALS, CHEMISTRY AND POWER ELECTRONICS, 2016, 84 : 728 - 733
  • [48] One-hour ahead wind speed forecasting using deep learning approach
    Ozbek, Arif
    Ilhan, Akin
    Bilgili, Mehmet
    Sahin, Besir
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2022, 36 (12) : 4311 - 4335
  • [49] One-hour ahead wind speed forecasting using deep learning approach
    Arif Ozbek
    Akin Ilhan
    Mehmet Bilgili
    Besir Sahin
    Stochastic Environmental Research and Risk Assessment, 2022, 36 : 4311 - 4335
  • [50] A comprehensive statistical analysis for residuals of wind speed and direction from numerical weather prediction for wind energy
    Chen, Hao
    ENERGY REPORTS, 2022, 8 : 618 - 626
12345