Abstract
Air temperature is certainly the most measured surface meteorological parameter and accurate forecasting of air temperature is
usually performed worldwide. This fact inspired the idea that a predicted value of air temperature may be used as input in solar
radiation air temperature-based models, aiming to generate the reference solar radiation year or to forecast solar irradiation.
Following this, a Takagi-Sugeno fuzzy model for estimating global solar irradiation via air temperature data is reported here.
This is intended to be a simple and accurate tool for solar engineering use. Since air temperature-based models are sensitive to
the origin locations, an approach for enlarging the area of application is presented. A critical assessment of the model
performance against measured data is conducted, with overall results demonstrating a level of accuracy suitable for most
practical applications