A Solar Power Prediction Using Support Vector Machines Based on Multi-source Data Fusion

2018 International Conference on Power System Technology (POWERCON) ◽

10.1109/powercon.2018.8601672 ◽

2018 ◽

Author(s):

Wang Buwei ◽

Che Jianfeng ◽

Wang Bo ◽

Feng Shuanglei

Keyword(s):

Support Vector Machines ◽

Data Fusion ◽

Solar Power ◽

Support Vector ◽

Power Prediction ◽

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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Distributed data fusion using support vector machines

Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) ◽

10.1109/icif.2002.1020902 ◽

2003 ◽

Author(s):

S. Challa ◽

M. Palaniswami ◽

A. Shilton

Keyword(s):

Support Vector Machines ◽

Data Fusion ◽

Support Vector ◽

Distributed Data ◽

Vector Machines ◽

Distributed Data Fusion

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Ultrasonic level sensors for flowmetering of non-Newtonian fluids in open Venturi channels: Using data fusion based on Artificial Neural Network and Support Vector Machines

2016 IEEE Sensors Applications Symposium (SAS) ◽

10.1109/sas.2016.7479829 ◽

2016 ◽

Author(s):

Khim Chhantyal ◽

Hakon Viumdal ◽

Saba Mylvaganam ◽

Geir Elseth

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Support Vector Machines ◽

Data Fusion ◽

Newtonian Fluids ◽

Support Vector ◽

Vector Machines ◽

Artificial Neural ◽

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Improvement of the prediction ability of multivariate calibration by a method based on the combination of data fusion and least squares support vector machines

The Analyst ◽

10.1039/c0an00433b ◽

2011 ◽

Vol 136 (6) ◽

pp. 1252 ◽

Author(s):

Shouxin Ren ◽

Ling Gao

Keyword(s):

Support Vector Machines ◽

Data Fusion ◽

Least Squares ◽

Multivariate Calibration ◽

Support Vector ◽

Prediction Ability ◽

Vector Machines

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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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Data Fusion and Multi-fault Classification Based On Support Vector Machines

Proceedings of the 9th Joint Conference on Information Sciences (JCIS) ◽

10.2991/jcis.2006.265 ◽

2006 ◽

Author(s):

Guohua Gao ◽

Yongzhong ZHANG ◽

Yu ZHU ◽

Guanghuang DUAN

Keyword(s):

Support Vector Machines ◽

Data Fusion ◽

Fault Classification ◽

Support Vector ◽

Vector Machines

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Multiclass Support Vector Machines Theory and Its Data Fusion Application in Network Security Situation Awareness

2007 International Conference on Wireless Communications, Networking and Mobile Computing ◽

10.1109/wicom.2007.1557 ◽

2007 ◽

Author(s):

Xiaowu Liu ◽

Huiqiang Wang ◽

Jibao Lai ◽

Ying Liang ◽

Chunmei Yang

Keyword(s):

Support Vector Machines ◽

Network Security ◽

Data Fusion ◽

Situation Awareness ◽

Support Vector ◽

Vector Machines ◽

Multiclass Support Vector Machines

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Combination of Acoustic and Vibration Sensor Data Using Support Vector Machines and One-Versus-All Technique Data Fusion for Detecting Objects

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering ◽

10.1145/3384613.3384626 ◽

2020 ◽

Author(s):

Analyn N. Yumang ◽

Geriel Angelo Cruz ◽

Llanz Adeo Fontanilla

Keyword(s):

Support Vector Machines ◽

Data Fusion ◽

Vibration Sensor ◽

Sensor Data ◽

Support Vector ◽

Vector Machines

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Comparison of kernel functions of support vector machines: A case study for the solar cell output power prediction

International Journal of Energy Applications and Technologies ◽

10.31593/ijeat.630789 ◽

2020 ◽

Vol 7 (1) ◽

pp. 1-6

Author(s):

Deogratias NURWAHA

Keyword(s):

Support Vector Machines ◽

Output Power ◽

Kernel Functions ◽

Support Vector ◽

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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