The paper describes the model of a two-axis-tracked PV system projected by the authors. The model was set up with Neural Petri Nets, a method which combines the advantages of neural networks with the modeling capabilities of the Petri Net. The PV orientation was achieved on the basis of determining the relative sun-position towards the earth. The integrated neural network has the role of determining the sun's position, which has as inputs coordinated elements, date and time. The realized model was simulated and will be used for the implementation and the optimization of the PV automated orientation program.
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