In this study, different neural networks are used for modeling PVT/N systems. Experiments are performed on ZnO/water nanofluid (0.2 wt%). Particle Swarm Optimization (PSO) is used to find optimum structure of each model. Results of three models are compared and validated with the experiments. Neural networks can be well used in modeling nanofluid based solar systems.