Very Short-Term Wind Power Forecasting Based on SVM-Markov

机译：基于SVM-MARKOV的非常短期风力预测

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Very short-term forecasting of wind power is important to scheduling staff's planning and wind turbine control. This paper has established a combined forecasting model based on Markov chain and support vector machine (SVM). Firstly, the SVM is used to model for wind power. Then, transition probability matrix is made based on Markov chain to modify for SVM prediction. Finally, the prediction confidence interval of combination forecasting model is given by method of fluctuation confidence interval. Verified by an example of a wind farm indicating that the combination forecasting model is better than a single SVM model on a variety of error indicators.

机译：风电的非常短期预测对于安排员工的规划和风力涡轮机控制是重要的。本文建立了基于Markov链和支持向量机（SVM）的组合预测模型。首先，SVM用于模拟风力。然后，基于Markov链进行转换概率矩阵以修改SVM预测。最后，通过波动置信区间的方法给出了组合预测模型的预测置信区间。通过风电场的示例验证，指示组合预测模型优于各种错误指示器上的单个SVM模型。

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《International Conference on Advances in Energy, Environment and Chemical Engineering》|2015年||共5页
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作者
Shunhui Jiang; Ruiming Fang; Li Wang; Changqing Peng;
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中图分类 TK01-53;
关键词
Very short-term forecasting; SVM; Markov chain model; The confidence interval;

机译：非常短期预测;SVM;马尔可夫链模型;置信区间;

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1. Short-term power output forecasting of hourly operation in power plant based on climate factors and effects of wind direction and wind speed [J] . Dadkhah Mojtaba, Rezaee Mustafa Jahangoshai, Chavoshi Ahmad Zare Energy . 2018,第APRa1期

机译：基于气候因素以及风向和风速影响的发电厂每小时运行的短期电力输出预测
2. Short-term forecasting and uncertainty analysis of wind power based on long short-term memory, cloud model and non-parametric kernel density estimation [J] . Gu Bo, Zhang Tianren, Meng Hang, Renewable energy . 2021,第Feba期

机译：基于长短短期记忆，云模型和非参数核密度估计的风电的短期预测与不确定度分析
3. Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model [J] . Zhang Jinhua, Yan Jie, Infield David, Applied Energy . 2019,第MAY1期

机译：基于长短期记忆网络和高斯混合模型的风力发电短期预测与不确定性分析
4. Very Short-Term Wind Power Forecasting Based on SVM-Markov [C] . Shunhui Jiang, Ruiming Fang, Li Wang, International Conference on Advances in Energy, Environment and Chemical Engineering . 2015

机译：基于SVM-MARKOV的非常短期风电预测
5. Short-term forecasting of wind speed and wind power based on BP and Adaboost_BP. [D] . Mi, Sibei. 2014

机译：基于BP和Adaboost_BP的风速和风能的短期预测。
6. Ensemble Nonlinear Autoregressive Exogenous Artificial Neural Networks for Short-Term Wind Speed and Power Forecasting [O] . Zhongxian Men, Eugene Yee, Fue-Sang Lien, 2014

机译：集成非线性自回归外生人工神经网络进行短期风速和功率预测
7. Very Short-Term Wind Power Forecasting Based on SVM-Markov [O] . Shunhui Jiang, Ruiming Fang, Li Wang, 2015

机译：基于SVM-MARKOV的非常短期风电预测

Very Short-Term Wind Power Forecasting Based on SVM-Markov

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