Comparison of support vector machine and copula-based nonlinear quantile regression for estimating the daily diffuse solar radiation: A case study in China

2020 ◽  
Vol 146 ◽  
pp. 1101-1112 ◽  
Author(s):  
Yanfeng Liu ◽  
Yong Zhou ◽  
Yaowen Chen ◽  
Dengjia Wang ◽  
Yingying Wang ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Solar Radiation ◽  
Quantile Regression ◽  
Support Vector ◽  
Diffuse Solar Radiation

Estimating the diffuse solar radiation using a coupled support vector machine–wavelet transform model

2016 ◽  
Vol 56 ◽  
pp. 428-435 ◽  
Author(s):  
Shahaboddin Shamshirband ◽  
Kasra Mohammadi ◽  
Hossein Khorasanizadeh ◽  
Por Lip Yee ◽  
Malrey Lee ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Wavelet Transform ◽  
Solar Radiation ◽  
Support Vector ◽  
Diffuse Solar Radiation

Research on SVM Line Loss Rate Prediction Based on Heuristic Algorithm

2013 ◽  
Vol 291-294 ◽  
pp. 2164-2168 ◽  
Author(s):  
Li Tian ◽  
Qiang Qiang Wang ◽  
An Zhao Cao
Keyword(s):  
Support Vector Machine ◽  
Heuristic Algorithm ◽  
Support Vector Machine Model ◽  
Loss Rate ◽  
Heuristic Algorithms ◽  
Support Vector ◽  
Machine Model ◽  
Rate Prediction ◽  
Line Loss

With the characteristic of line loss volatility, a research of line loss rate prediction was imperatively carried out. Considering the optimization ability of heuristic algorithm and the regression ability of support vector machine, a heuristic algorithm-support vector machine model is constructed. Case study shows that, compared with other heuristic algorithms’, the search efficiency and speed of genetic algorithm are good, and the prediction model is with high accuracy.

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