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

abstract

• Springer-Verlag Berlin Heidelberg 2016. 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.

authors

• Singh, Vijay

published proceedings

• HARMONY SEARCH ALGORITHM

author list (cited authors)

• Kim, S., Seo, Y., & Singh, V. P.

citation count

• 6

complete list of authors

• Kim, Sungwon||Seo, Youngmin||Singh, Vijay P

publication date

• January 2016

publisher

• Springer Nature  Publisher

published in

• Advances in Intelligent Systems and Computing  Journal

keywords

• Solar Radiation
• Support Vector Machines
• Wavelet Decomposition

Digital Object Identifier (DOI)

• 10.1007/978-3-662-47926-1_27

International Standard Book Number (ISBN) 13

• 978-3-662-47925-4

start page

• 279

end page

• 284

volume

• 382

URL

• http%3A%2F%2Fdx.doi.org%2F10.1007%2F978-3-662-47926-1_27