Short-Term Wind Speed Forecasting for Wind Farm Based on Empirical Mode Decomposition

被引：0
|
作者：
Li, Ran [1 ]
Wang, Yue [1 ]
机构：
[1] N China Elect Power Univ, Dept Elect Engn, Baoding 071003, Peoples R China
来源：
ICEMS 2008: PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS, VOLS 1- 8 | 2008年
关键词：
wind speed forecasting; EMD; ARMA;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
As an important renewable energy form, wind power obtains rapid development recently. More advanced accurate and reliable techniques for wind speed forecasting are required. It can reduce the disadvantageous impact to the power system. According to the outstanding feature of EMD algorithm, this paper presents a new technique for wind speed forecasting based on Empirical Mode Decomposition (EMD) and ARMA. EMD is a new method for analyzing nonlinear and non-stationary signal. It is an adaptive wavelet decomposition strategy. We make full use of the characteristic of the EMD and the ARMA in the EMD-ARMA model. Actual wind speed data are used to test the approach. It concludes that the EMD-ARMA model is an effective method in wind speed forecasting.
引用
收藏
页码：2521 / 2525
页数：5
相关论文
共 50 条
  • [21] Short-Term Wind Power Forecasting Method Based on Mode Decomposition and Feature Extraction
    Li, Chuang
    Kong, Xiangyu
    Wang, Xingguo
    Zheng, Feng
    Chen, Zhengguang
    Zhou, Zexin
    [J]. 2019 22ND INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2019), 2019, : 1735 - 1739
  • [22] The Short-term Forecasting of Wind Speed Based on EMD and ARMA
    Yu, Min
    Zhou, Wenmeng
    Wang, Bin
    Jin, Ji
    [J]. PROCEEDINGS OF THE 2017 12TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2017, : 495 - 498
  • [23] Short-term wind speed forecasting based on a hybrid model
    Zhang, Wenyu
    Wang, Jujie
    Wang, Jianzhou
    Zhao, Zengbao
    Tian, Meng
    [J]. APPLIED SOFT COMPUTING, 2013, 13 (07) : 3225 - 3233
  • [24] Short-Term Wind Speed Forecasting Based On Fuzzy Artmap
    Ul Haque, Ashraf
    Meng, Julian
    [J]. INTERNATIONAL JOURNAL OF GREEN ENERGY, 2011, 8 (01) : 65 - 80
  • [25] Short-term wind speed forecasting based on EMD and ANN
    Wang, Shao
    Yang, Jiang-Ping
    Li, Feng-Bing
    Liu, Ting-Lei
    [J]. Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2012, 40 (10): : 6 - 11
  • [26] Forecasting Short-term Wind Speed based on EMD and SVR
    Luo, Yi
    Li, Xia
    Liu, Xiangjie
    [J]. ELECTRONIC INFORMATION AND ELECTRICAL ENGINEERING, 2012, 19 : 657 - 660
  • [27] Short-term Wind Speed Forecasting Based on GCN and FEDformer
    Sun, Yihao
    Liu, Hao
    Hu, Tianyu
    Wang, Fei
    [J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2024, 44 (21): : 8496 - 8506
  • [28] The Online Forecasting Research of Short-term Wind Speed and Power Generation at Wind Farm Based on Phase Space Reconstruction
    Han Yajun
    Liu Jing
    [J]. 2015 SEVENTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2015), 2015, : 1234 - 1237
  • [29] Short-term wind speed forecasting based on random forest model combining ensemble empirical mode decomposition and improved harmony search algorithm
    Yu, Mingxing
    [J]. INTERNATIONAL JOURNAL OF GREEN ENERGY, 2020, 17 (05) : 332 - 348
  • [30] Short-term wind power prediction based on empirical mode decomposition and deep learning
    Xu, Rui
    Bao, Gan
    [J]. 2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 8372 - 8379
12345