Potential of support vector regression for solar radiation prediction in Nigeria

Lanre Olatomiwa, Saad Mekhilef, Shahaboddin Shamshirband, Dalibor Petkovic
  • Natural Hazards, February 2015, Springer Science + Business Media
  • DOI: 10.1007/s11069-015-1641-x

Solar radiation prediction in Nigeria

What is it about?

In this paper, the accuracy of soft computing technique (support vector regression ) in solar radiation prediction based on series of measured meteorological data (monthly mean sunshine duration, monthly mean maximum and minimum temperature) taking from Iseyin meteorological station in Nigeria was examined.

Why is it important?

Long-term knowledge of solar insolation incident on earth’s surface at any particular locations is essential for its application such as agricultural, hydrological, ecological as well as electricity production. In electricity production, it is needed in designing and prediction of energy output of solar conversion system.

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http://dx.doi.org/10.1007/s11069-015-1641-x

The following have contributed to this page: Shahab shamshirband, Dr Lanre Olatomiwa, and Dr Shahaboddin Shamshirband