In solar parabolic-trough plants, the use of Model Predictive Control (MPC) increases output thermal power. However, MPC has disadvantage a high computational demand that hinders its application to some processes. This work proposes using artificial neural networks approximate optimal flow rate given by an controller decrease load drastically 3% computation time. The have been trained 30-day sy...