Computation of Daily Solar Radiation Using Wavelet and Support Vector Machines: A Case Study

  • Sungwon Kim
  • Youngmin Seo
  • Vijay P. Singh
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 382)


The objective of this study is to apply a hybrid model for estimating solar radiation and investigate its accuracy. A hybrid model is wavelet-based support vector machines (WSVMs). Wavelet decomposition is employed to decompose the solar radiation time series components into approximation and detail components. These decomposed time series are then used as input of support vector machines (SVMs) modules in the WSVMs model. Based on statistical indexes, results indicate that WSVMs can successfully be used for the estimation of daily global solar radiation at Champaign and Springfield stations in Illinois.


Support vector machines Wavelet decomposition Solar radiation 


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© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Department of Railroad and Civil EngineeringDongyang UniversityYeongjuRepublic of Korea
  2. 2.Department of Constructional Disaster Prevention EngineeringKyungpook National UniversitySangjuRepublic of Korea
  3. 3.Department of Biological and Agricultural Engineering & Zachry Department of Civil EngineeringTexas A & M UniversityCollege StationUSA

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