Statistical analysis of the energy performance of a refrigeration system working with R1234yf using artificial neural networks

Furthermore, frequency histograms to represent the variability of the energy performance of the refrigeration system were estimated and analyzed. Computer simulations employing neural networks were used to understand the energy performance behavior, and observe the best performance of the installation. In the same way, these simulations were used to statistically analyze the variability of the energy performance.