Wind power prediction based on multiple support vector machines

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9189535 ◽

2020 ◽

Author(s):

Min Ding ◽

Zhe Chen

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Power Prediction ◽

Wind Power Prediction ◽

Vector Machines ◽

Multiple Support ◽

Multiple Support Vector Machines

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Short-term wind power prediction using Least-Square Support Vector Machines

IEEE Power and Energy Society Conference and Exposition in Africa: Intelligent Grid Integration of Renewable Energy Resources (PowerAfrica) ◽

10.1109/powerafrica.2012.6498620 ◽

2012 ◽

Author(s):

Tebello Mathaba ◽

Xiaohua Xia ◽

Jiangfeng Zhang

Keyword(s):

Support Vector Machines ◽

Least Square ◽

Support Vector ◽

Power Prediction ◽

Wind Power Prediction ◽

Vector Machines

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Wind power prediction using a novel model on wavelet decomposition-support vector machines-improved atomic search algorithm

Journal of Cleaner Production ◽

10.1016/j.jclepro.2020.121817 ◽

2020 ◽

Vol 270 ◽

pp. 121817 ◽

Author(s):

Ling-Ling Li ◽

Yun-Biao Chang ◽

Ming-Lang Tseng ◽

Jia-Qi Liu ◽

Ming K. Lim

Keyword(s):

Support Vector Machines ◽

Wavelet Decomposition ◽

Search Algorithm ◽

Support Vector ◽

Power Prediction ◽

Wind Power Prediction ◽

Vector Machines ◽

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Constructing Multiple Support Vector Machines Ensemble Based on Fuzzy Integral and Rough Reducts

2007 2nd IEEE Conference on Industrial Electronics and Applications ◽

10.1109/iciea.2007.4318607 ◽

2007 ◽

Author(s):

Yi-Zhuo Zhang ◽

Chun-Mei Liu ◽

Liang-Kuan Zhu ◽

Qing-Lei Hu

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Fuzzy Integral ◽

Vector Machines ◽

Multiple Support ◽

Multiple Support Vector Machines

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Multiple Support Vector Machines for Binary Text Classification Based on Sliding Window Technique

Communications in Computer and Information Science - Data Mining ◽

10.1007/978-981-13-6661-1_2 ◽

2019 ◽

pp. 17-29

Author(s):

Aisha Rashed Albqmi ◽

Yuefeng Li ◽

Yue Xu

Keyword(s):

Support Vector Machines ◽

Text Classification ◽

Sliding Window ◽

Support Vector ◽

Window Technique ◽

Vector Machines ◽

Multiple Support ◽

Multiple Support Vector Machines

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Efficient content-based image retrieval using Multiple Support Vector Machines Ensemble

Expert Systems with Applications ◽

10.1016/j.eswa.2011.08.086 ◽

2012 ◽

Vol 39 (3) ◽

pp. 2385-2396 ◽

Author(s):

Ela Yildizer ◽

Ali Metin Balci ◽

Mohammad Hassan ◽

Reda Alhajj

Keyword(s):

Support Vector Machines ◽

Image Retrieval ◽

Content Based Image Retrieval ◽

Support Vector ◽

Vector Machines ◽

Multiple Support ◽

Multiple Support Vector Machines

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Modeling of a Fermentation Process with Multiple Support Vector Machines

2006 6th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2006.1713303 ◽

2006 ◽

Author(s):

Haifeng Sang ◽

Dakuo He ◽

Fuli Wang ◽

Yuqing Chang ◽

dapeng Zhang

Keyword(s):

Support Vector Machines ◽

Fermentation Process ◽

Support Vector ◽

Vector Machines ◽

Multiple Support ◽

Multiple Support Vector Machines

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Training Multiple Support Vector Machines for Personalized Web Content Filters

IEICE Transactions on Information and Systems ◽

10.1587/transinf.e96.d.2376 ◽

2013 ◽

Vol E96.D (11) ◽

pp. 2376-2384

Author(s):

Dung Duc NGUYEN ◽

Maike ERDMANN ◽

Tomoya TAKEYOSHI ◽

Gen HATTORI ◽

Kazunori MATSUMOTO ◽

...

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Web Content ◽

Vector Machines ◽

Multiple Support ◽

Multiple Support Vector Machines

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Multiple support vector machines for land cover change detection: An application for mapping urban extensions

ISPRS Journal of Photogrammetry and Remote Sensing ◽

10.1016/j.isprsjprs.2006.09.004 ◽

2006 ◽

Vol 61 (2) ◽

pp. 125-133 ◽

Author(s):

Hassiba Nemmour ◽

Youcef Chibani

Keyword(s):

Support Vector Machines ◽

Change Detection ◽

Land Cover Change ◽

Support Vector ◽

Vector Machines ◽

Multiple Support ◽

Multiple Support Vector Machines ◽

Land Cover Change Detection

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Combining multiple support vector machines for boosting the classification accuracy of uterine EMG signals

2011 18th IEEE International Conference on Electronics, Circuits, and Systems ◽

10.1109/icecs.2011.6122354 ◽

2011 ◽

Author(s):

Bassam Moslem ◽

Mohamad Khalil ◽

Mohamad O. Diab ◽

Aly Chkeir ◽

Catherine Marque

Keyword(s):

Support Vector Machines ◽

Classification Accuracy ◽

Support Vector ◽

Vector Machines ◽

Multiple Support ◽

Multiple Support Vector Machines

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Short-term load forecasting using multiple support vector machines based on fuzzy clustering

2009 Chinese Control and Decision Conference ◽

10.1109/ccdc.2009.5192735 ◽

2009 ◽

Author(s):

Gaorong ◽

Liu Xiao-hua

Keyword(s):

Support Vector Machines ◽

Fuzzy Clustering ◽

Load Forecasting ◽

Support Vector ◽

Vector Machines ◽

Short Term Load Forecasting ◽

Multiple Support ◽

Multiple Support Vector Machines

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