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International Journal of Green Energy Volume 6, 2009 - Issue 5: Selected Papers from the 4th Annual Green Energy Conference (IGEC-IV), Beijing, China, October 20–22, 2008
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Original Articles

Piecewise Support Vector Machine Model for Short-Term Wind-power Prediction

Yongqian Liu School of Renewable Energy, North China Electric Power University, Beijing, ChinaCorrespondence[email protected]
,
Jie Shi School of Renewable Energy, North China Electric Power University, Beijing, China
,
Yongping Yang School of Renewable Energy, North China Electric Power University, Beijing, China
&
Shuang Han School of Renewable Energy, North China Electric Power University, Beijing, China
Pages 479-489 | Published online: 07 Oct 2009

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Mingxing Yu. (2020) Short-term wind speed forecasting based on random forest model combining ensemble empirical mode decomposition and improved harmony search algorithm. International Journal of Green Energy 17:5, pages 332-348.
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R. Saravanakumar & Debashisha Jena. (2016) Nonlinear control of a wind turbine based on nonlinear estimation techniques for maximum power extraction. International Journal of Green Energy 13:3, pages 309-319.
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Florin Onea & Eugen Rusu. (2014) An Evaluation of the Wind Energy in the North-West of the Black Sea. International Journal of Green Energy 11:5, pages 465-487.
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M. S. Okundamiya & A. N. Nzeako. (2013) Model for Optimal Sizing of a Wind Energy Conversion System for Green-Mobile Applications. International Journal of Green Energy 10:2, pages 205-218.
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Kostas Philippopoulos, Despina Deligiorgi & George Karvounis. (2012) Wind Speed Distribution Modeling in the Greater Area of Chania, Greece. International Journal of Green Energy 9:2, pages 174-193.
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Alireza Zendehboudi, M.A. Baseer & R. Saidur. (2018) Application of support vector machine models for forecasting solar and wind energy resources: A review. Journal of Cleaner Production 199, pages 272-285.
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Yongxia Liu & Yanyan Zhang. (2017) A rolling ARMA method for ultra short term wind power prediction. A rolling ARMA method for ultra short term wind power prediction.
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Jie Yan, Xiaoli Gao, Yongqian Liu, Shuang Han, Li Li, Xiaomei Ma, Chenghong Gu, Rohit Bhakar & Furong Li. (2015) Adaptabilities of three mainstream short-term wind power forecasting methods. Journal of Renewable and Sustainable Energy 7:5.
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Jin-hua Zhang, Yong-qian Liu, De Tian & Jie Yan. (2015) Optimal power dispatch in wind farm based on reduced blade damage and generator losses. Renewable and Sustainable Energy Reviews 44, pages 64-77.
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Lei Guo, Chunhua Wang, Peisheng Gao, Yan Wang, Yufeng Zhong & Minxiang Huang. (2014) An online short-term wind power prediction considering wind speed correction and error interval evaluation. An online short-term wind power prediction considering wind speed correction and error interval evaluation.
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Jie Shi, Zhaohao Ding, Wei-Jen Lee, Yongping Yang, Yongqian Liu & Mingming Zhang. (2014) Hybrid Forecasting Model for Very-Short Term Wind Power Forecasting Based on Grey Relational Analysis and Wind Speed Distribution Features. IEEE Transactions on Smart Grid 5:1, pages 521-526.
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Zhongfu Tan, H. W. Ngan, Yang Wu, Huijuan Zhang, Yihang Song & Chao Yu. (2013) Potential and policy issues for sustainable development of wind power in China. Journal of Modern Power Systems and Clean Energy 1:3, pages 204-215.
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Li Li, Yong-qian Liu, Yong-ping Yang, Shuang Han & Yi-mei Wang. (2013) A physical approach of the short-term wind power prediction based on CFD pre-calculated flow fields. Journal of Hydrodynamics 25:1, pages 56-61.
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Yongqian Liu, Jie Shi, Yongping Yang & Wei-Jen Lee. (2012) Short-Term Wind-Power Prediction Based on Wavelet Transform–Support Vector Machine and Statistic-Characteristics Analysis. IEEE Transactions on Industry Applications 48:4, pages 1136-1141.
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Jie Shi & Wei-Jen Lee. (2012) Weighted parallel algorithm to improve the performance of short-term wind power forecasting. Weighted parallel algorithm to improve the performance of short-term wind power forecasting.
Qian Zhang, Kin Keung Lai, Dongxiao Niu & Qiang Wang. (2012) Wind Park Power Forecasting Models and Comparison. Wind Park Power Forecasting Models and Comparison.
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Jie Shi, Yongping Yang, Peng Wang, Yongqian Liu & Shuang Han. (2010) Genetic algorithm-piecewise support vector machine model for short term wind power prediction. Genetic algorithm-piecewise support vector machine model for short term wind power prediction.

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