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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