Adaptive neuro-fuzzy approach for solar radiation prediction in Nigeria

Lanre Olatomiwa, Saad Mekhilef, Shahaboddin Shamshirband, Dalibor Petković
  • Renewable and Sustainable Energy Reviews, November 2015, Elsevier
  • DOI: 10.1016/j.rser.2015.05.068

Adaptive neuro-fuzzy approach for solar radiation prediction

What is it about?

In this paper, the accuracy of a soft computing technique is investigated for predicting solar radiation based on a series of measured meteorological data. The process was developed with an adaptive neuro-fuzzy inference system (ANFIS) to simulate solar radiation. The proposed model is deemed an efficient technique to predict global solar radiation for practical purposes.

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http://dx.doi.org/10.1016/j.rser.2015.05.068

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