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