Impact of absolute and relative humidity on the performance of mono and poly crystalline silicon photovoltaics; applying artificial neural network
The impacts of the ambient absolute and relative humidity on the performance of a photovoltaic (PV) solar module are investigated in details here. Using the experimental data recorded during a year as inputs, the artificial neural network is employed to develop models to predict voltage and current based on the effective parameters, including ambient temperature and relative humidity, as well as the wind velocity and irradiance, and having developed and validated the models, a comprehensive parametric study is conducted.