Proceedings of the Korea Water Resources Association Conference (한국수자원학회:학술대회논문집)

Korea Water Resources Association (한국수자원학회)
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Estimating global solar radiation using wavelet and data driven techniques

  • Kim, Sungwon (Department of Railroad and Civil Engineering, Dongyang University) ;
  • Seo, Youngmin (Department of Constructional Disaster Prevention Engineering, Kyungpook National University)
  • Published : 2015.05.27
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Abstract

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

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