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IEEE 2013 Tencon - Spring
This paper presents the evolutionary neural networks for the prediction of energy output from a gridconnected photovoltaic (GCPV) system. Two evolutionary neural network (ENN) models have been proposed using evolutionary programming and artificial immune system (AIS) respectively. The artificial neural network (ANN) employed for these models utilized solar radiation and ambient temperature as its input whereas the kilowatt-hour energy of the GCPV system is the only targeted output. Thedoi:10.1109/tenconspring.2013.6584486 fatcat:uzmzn7wlsvdwxkkaf5rmy46fca