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| Summary of artificial intelligence prediction model for single wind power |
| Guo Qian, Kuang Honghai, Wang Jianhui, Zhou Yujian, Gao Runguo |
| Hu’nan University of Technology, Zhuzhou, Hu’nan 412007 |
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Abstract Wind power prediction of a single wind turbine based on historical data of wind speed of the wind turbine hub. The high proportional relationship between wind speed and power makes the power dispatching system have higher requirements for wind power prediction accuracy. The wind speed has gap-volatility and randomness, which makes the wind sequences exhibit strong non-linearity. Artificial intelligence has an advantage in dealing with the problem, and it is beneficial to single- machine wind power forecasting modeling. This paper introduces the establishment process of predictive model based on artificial neural network and support vector machine, and expounds the application and characteristics of artificial intelligence method such as fuzzy logic in single-machine wind power prediction, some problems existing in single wind power prediction models are discussed, and some insights on improving the performance of the single wind power prediction model are presented.
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Received: 17 June 2018
Published: 27 February 2020
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| Cite this article: |
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Guo Qian,Kuang Honghai,Wang Jianhui等. Summary of artificial intelligence prediction model for single wind power[J]. Electrical Engineering, 2020, 21(2): 1-6.
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| URL: |
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https://dqjs.cesmedia.cn/EN/Y2020/V21/I2/1
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2020, Vol. 21 
