The prediction of power generated by photovoltaic (PV) panels in different climates is of great importance.The aim of this paper is\nto predict the output power of a 3.2kWPV power plant using the MLP-ABC (multilayer perceptron-artificial bee colony) algorithm.\nExperimental data (ambient temperature, solar radiation, and relative humidity) was gathered at five-minute intervals fromTehran\nUniversity�s PVPower Plant fromSeptember 22nd, 2012, to January 14th, 2013. Following data validation, 10665 data sets, equivalent\nto 35 days, were used in the analysis. The output power was predicted using the MLP-ABC algorithm with the mean absolute\npercentage error (MAPE), the mean bias error (MBE), and correlation coefficient (
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