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Photovoltaic (PV) modules are the main element responsible for the harvesting of solar radiation in PV systems. Thus, their reliability and durability are two crucial factors to take in consideration for conceiving performant PV systems and improve the energy generation. The outdoor comportment analysis of di¿erent PV module technologies has gained an increased interest in last years in order to gain insight on the degradation of their performance. The present work studies the behaviour of three di¿erent PV modules based on cadmium telluride (CdTe), monocrystalline (c-Si) and multicrystalline silicon (mc-Si) technologies deployed outdoor in a humid continental climate. The period under scrutiny ranges from August 2015 to September 2017. Moreover, a new approach based on arti¿cial neural network (ANN) was developed for the prediction of missing weather data. The obtained results showed that c-Si and mc-Si PV modules presented a slight performance degradation following the seasonal changes. The worst degradation rate of -5.55%/year was obtained for CdTe PV modules. Finally, the e¿ects of the degradation on the I-V curve were proven by an indoor characterization of CdTe PV modules.

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