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In this paper, a suitable adaptive neuro-fuzzy inference system (ANFIS) model is presented for estimating sequences of mean monthly clearness index (K¯t) and total solar radiation data in isolated sites based on geographical coordinates. The magnitude of solar radiation is the most important parameter for sizing photovoltaic (PV) systems. The ANFIS model is trained by using a multi-layer perceptron...
Total solar radiation data is considered the most important parameter in renewable energy application, particularly for sizing photovoltaic (PV) system. However, these data are not always available particularly in isolated sites due to the non-availability of the meteorological stations in these sites. Fortunately, the mean temperature and the sunshine duration are always available because we can...
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