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Research on Multi-Step Prediction of Wind Speed Time Series Based on Parallel Support Vector Regression

机译：基于并行支持向量回归的风速时间序列多步预测研究

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Xiaohong Yang; Xiaojing Yang; Xiaoxun Zhu; Weixuan Xu; Kuangru Hai E;
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1. Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression [J] . Liu Hui, Mi Xiwei, Li Yanfei, Renewable energy . 2019,第DECa期

机译：基于奇异谱分析，卷积门控递归单元网络和支持向量回归的基于智能风速深度学习的多步预测模型
2. Time Series Analysis and Forecasting for Wind Speeds Using Support Vector Regression Coupled with Artificial Intelligent Algorithms [J] . Jiang Ping, Qin Shanshan, Wu Jie, Mathematical Problems in Engineering . 2015,第PTa12期

机译：支持向量回归与人工智能算法相结合的风速时间序列分析与预测
3. Time Series Analysis and Forecasting for Wind Speeds Using Support Vector Regression Coupled with Artificial Intelligent Algorithms [J] . PingJiang, ShanshanQin, JieWu, Mathematical Problems in Engineering: Theory, Methods and Applications . 2015,第2期

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4. Research on Multi-Step Prediction of Wind Speed Time Series Based on Parallel Support Vector Regression [C] . Xiaohong Yang, Xiaojing Yang, Xiaoxun Zhu, ICEESD 2011 . 2012

机译：基于并行支持向量回归的风速时间序列的多步预测研究
5. Feature Selection, Flaring Size and Time-to-Flare Prediction Using Support Vector Regression, and Automated Prediction of Flaring Behavior Based on Spatio-Temporal Measures Using Hidden Markov Models [D] . Al-Ghraibah, Amani 2015

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6. Twin Least Square Support Vector Regression Model Based on Gauss-Laplace Mixed Noise Feature with Its Application in Wind Speed Prediction [O] . Shiguang Zhang, Chao Liu, Wei Wang, 2020

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7. Study of Learning Data Selection Method with K-nearest Neighbor and VAR Model in Wind Speed Prediction using Wind Speed Time-series Data of Multiple Sites by Support Vector Regression [O] . Aimi YUYAMA, Junya YAMASAKI, Daisuke MIZUNO, 2017

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Research on Multi-Step Prediction of Wind Speed Time Series Based on Parallel Support Vector Regression

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