August 2021 – MPC based on deep learning

Model predictive control based on deep learning for solar parabolic-trough plants Sara Ruiz-Moreno, José Ramón D.Frejo, Eduardo F.Camacho  Abstract: In solar parabolic-trough plants, the use of Model Predictive Control (MPC) increases the output thermal power. However, MPC has the disadvantage of a high computational demand that hinders its application to some processes. This work proposes…

October 2021 – Market-based clustering of MPC

Market-based clustering of model predictive controllers for maximizing collected energy by parabolic-trough solar collector fields  Eva Masero, José M. Maestre, and Eduardo F. Camacho  Department of Ingeniería de Sistemas y Automática, Universidad de Sevilla, Seville, Spain  Abstract This article focuses on maximizing the thermal energy collected by parabolic-trough solar collector fields to increase the production of the plant. To this end, we propose…