Short term wind speed forecasting based on RVM and ARMA error correcting

Diangong Jishu Xuebao/Transactions of China Electrotechnical Society

Volumn 27, Issue 8, 2012, Pages 187-193

  Sun, Guoqiang ^a   Wei, Zhinong ^a   Zhai, Weixing ^a  

^a HOHAI UNIVERSITY   (China)

Author keywords

ARMA model; Error correcting; RVM model; Wind speed forecasting

Indexed keywords

ARMA MODEL; AUTOREGRESSIVE MOVING AVERAGE; FORECASTING ERROR; INFLUENCING FACTOR; JIANGSU PROVINCE; MODEL PARAMETERS; NON-LINEAR MODEL; RELEVANT VECTOR MACHINES; SHORT-TERM WIND SPEED FORECASTING; WIND FARM; WIND SPEED; WIND SPEED FORECASTING;

ELECTRIC UTILITIES; FORECASTING; GENETIC ALGORITHMS; RANDOM PROCESSES; WIND POWER;

WIND EFFECTS;

EID: 84867427120     PISSN: 10006753     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (18)

1. 2008.
2. Yang Xiuyuan, Xiao Yang, Chen Shuyong. Wind speed and generated power forecasting in wind farm[J]. Proceedings of the CSEE, 2005, 25(11): 1-5.
3. Sun Chunshun, Wang Yaonan, Li Xinran. A vector autoregression model of hourly wind speed and its applications in hourly wind speed forecasting[J]. Proceedings of the CSEE, 2008, 28(14): 112-117.
4. Ding Ming, Zhang Lijun, Wu Yichun. Wind speed forecast model for wind farms based on time series analysis[J]. Electric Power Automation Equipment, 2005, 25(8): 32-34
5. Pan Difu, Liu Hui, Li Yanfei. Optimization algorithm of short-term multi-step wind speed forecast[J]. Proceedings of the CSEE, 2008, 28(26): 87-91.
6. Kariniotakis G, Stavrakakis G, Nogaret E. Wind power forecasting using advanced neural network models[J]. IEEE Transactions on Energy Conversion, 1996, 11(4): 762-767.
7. Fan Gaofeng, Wang Weisheng, Liu Chun, et al. Wind power prediction based on artificial neural network[J]. Proceedings of the CSEE, 2008, 28(34): 118-123.
8. Li Wenliang, Wei Zhinong, Sun Guoqiang, et al. Multi-terval wind speed forecast model based on improved spatial correlation and RBF neural network[J]. Electric Power Automation Equipment, 2009, 29(6): 89-92.
9. Zhang Guoqiang, Zhang Boming. Wind speed and wind turbine output forecast based on combination method[J]. Automation of Electric Power Systems, 2009, 33(18): 92-96.
10. Michael E Tipping. Sparse Bayesian learning and the relevance vector machine[J]. Journal of Machine Learning Research, 2001, 1(3): 211-244.
11. Liu Zunxiong, Zhang Deyun, Sun Qindong, et al. Mid-term electric load prediction based on the relevant vector machine[J]. Journal of Xi'an Jiaotong University, 2004, 38(10): 1005-1008.
12. Joaquin Quinonero-Candela, Lars Kai Hansen. Time series prediction based on the relevance vector machine with adaptive kernels[C]. IEEE International Conference on Acoustics, Speech, and Signal Processing, Hong Kong, China, 2002, 1: 985-988.
13. Liu Fang, Zhou Jianzhong, Qiu Fangpeng, et al. Nonlinear time series forecasting based on relevance vector regression[J]. Computer Engineering, 2008, 34(3): 1-5.
14. Niu Lin, Du Zhigang, Zhao Jianguo. Prediction of audible noise of AC UHV transmission lines based on relevance vector machine[J]. Electric Power Automation Equipment, 2009, 29(6): 71-76.
15. Shian-Chang Huang, Tung-Kuang Wu. Wavelet-based relevance vector machines for stock index forecasting[C]. 2006 International Joint Conference on Neural Networks, 2006: 603-609.
16. Wang Wei, Guo Xiaoming, Wang Shuyan, et al. On the method of kernel-function selection in support vector machine[J]. Journal of Liaoning Normal University (Natural Science Edition), 2008, 31(1): 1-4.
17. Wang Lijie, Liao Xiaozhong, Gao Yang, et al. Summarization of modeling and prediction of wind power generation[J]. Power System Protection and Control, 2009, 37(13): 118-121.
18. 2005.