Abstract

The Fill Factor (FF) of a Photovoltaic (PV) module is usually specified in the ratings of the module by the\nmanufacturer. However, this value is specified at certain standard or operating conditions of solar insolation and temperature.\nDetermination of the FF at any other operating condition requires detailed experimental data or, alternatively, involved\nanalytical computation.\nA novel alternative methodology is to develop a generalized ANN model that can serve the same purpose, with minimal\ncomputational effort. The present paper attempts to develop an ANN model that can be used to predict the FF at any value of\noperating condition other than the value specified at rated conditions. ANN models with different configuration have been\ntested successfully and shows an average error in estimation of less than 1%, thereby validating their use for simulated investigations\nin general.