Wind speed forecasting method based on LS-SVM considering the related factors

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control

Volumn 38, Issue 21, 2010, Pages 146-151

  Li, Ran ^a   Chen, Qian ^a   Xu, Hong Rui ^b  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b Dispatching Center of Shanxi Power Grid   (China)

Author keywords

Grey relation; LS SVM; Parameter optimization; Related factors; Wind speed forecasting

Indexed keywords

GREY RELATION; LS-SVM; PARAMETER OPTIMIZATION; RELATED FACTORS; WIND SPEED FORECASTING;

ELECTRIC LOAD FORECASTING; OPTIMIZATION; POWER GENERATION; SAMPLING; WIND EFFECTS;

SPEED;

EID: 78650320077     PISSN: 16743415     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

1. Yang Xiu-Yuan, Xiao Yang, Chen Shu-Yong. Wind speed and generated power forecasting in wind farm [J]. Proceedings of the CSEE, 2005, 25(11): 1-5.
2. Gu Xing-Kai, Fan Gao-Feng, Wang Xiao-Rong, et al. Summarization of wind power prediction technology [J]. Power System Technology, 2007, 31(2): 335-338.
3. Bossanyi E A. Short-term wind prediction using Kalman filters [J]. Wind Engineering, 1985, 9(1): 1-8.
4. Wu Xing-Hua, Zhou Hui, Huang Mei. Wind speed and generated power forecasting based on pattern recognition in wind farm [J]. Relay, 2008, 36(1): 27-32.
5. Damousis I G, Alexiadis M C, Theocharis J B, et al. A fuzzy expert system for the forecasting of wind speed and power generation in wind farms using spatial correlation [J]. IEEE Trans on Energy Conversion, 2004, 19(6): 352-361.
6. Kamal L, Jafri Y Z. Time series models to simulate and forecast hourly averaged wind speed in Wuetta, Pakistan [J]. Solar Energy, 2001, 61(1): 23-32.
7. Fan Gao-Feng, Wang Wei-Sheng, Liu Chun. Artificial neural network based wind power short term prediction system [J]. Power System Technology, 2008, 32(22): 72-76.
8. Du Ying, Lu Ji-Ping, Li Qing, et al. Short-term wind speed forecasting of wind farm based on least square-support vector machine [J]. Power System Technology, 2008, 32(15): 62-66.
9. Niu Dong-Xiao, Gu Zhi-Hong, Xing Mian, et al. Study on forecasting approach to short-term load of SVM based on data mining [J]. Proceedings of the CSEE, 2006, 26(18): 6-12.
10. Qi Shuang-Bin, Wang Wei-Qing, Zhang Xin-Yan. Wind speed and wind power prediction based on SVM [J]. East China Electric Power, 2009, 37(9): 1600-1603.
11. Zeng Jie, Zhang Hua. A wind speed forecasting model based on least squares support vector machine [J]. Power System Technology, 2009, 33(18): 144-147.
12. Li Yuan-Cheng, Fang Ting-Jian, Yu Er-Keng. Study of support vector machines for short-term load forecasting [J]. Proceedings of the CSEE, 2003, 23(6): 55-59.
13. Zhang Pei-Lin, Qian Lin-Fang, Cao Jian-Jun, et al. Parameter optimization of support vector machine based on ant colony optimization algorithm [J]. Journal of Nanjing University of Science and Technology, 2009, 33(4): 464-468.