A Fuzzy Group Forecasting Model Based on Least Squares Support Vector Machine (LS-SVM) for Short-Term Wind Power

By Zhang Qian   Lai Kin Keung   Niu Dongxiao   Wang Qiang   Zhang Xuebin  

Energies, Vol. 5, Iss. 9, 2012-09 ,pp. : 3329-3346

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An S-Transform and Support Vector Machine (SVM)-Based Online Method for Diagnosing Broken Strands in Transmission Lines

By Jiang Xingliang   Xia Yunfeng   Hu Jianlin   Zhang Zhijin   Shu Lichun   Sun Caxin  

Energies, Vol. 4, Iss. 9, 2011-08 ,pp. : 1278-1300

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A Hybrid PCA-CART-MARS-Based Prognostic Approach of the Remaining Useful Life for Aircraft Engines

By Lasheras Fernando Sánchez   Nieto Paulino José García   de Cos Juez Francisco Javier   Bayón Ricardo Mayo   Suárez Victor Manuel González  

Sensors, Vol. 15, Iss. 3, 2015-03 ,pp. : 7062-7083

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Remaining Useful Life Prediction of Lithium-Ion Batteries Based on the Wiener Process with Measurement Error

By Tang Shengjin   Yu Chuanqiang   Wang Xue   Guo Xiaosong   Si Xiaosheng  

Energies, Vol. 7, Iss. 2, 2014-01 ,pp. : 520-547

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Comparison Between Wind Power Prediction Models Based on Wavelet Decomposition with Least-Squares Support Vector Machine (LS-SVM) and Artificial Neural Network (ANN)

By De Giorgi Maria Grazia   Campilongo Stefano   Ficarella Antonio   Congedo Paolo Maria  

Energies, Vol. 7, Iss. 8, 2014-08 ,pp. : 5251-5272

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