This review provides a deep analysis of the different methodologies to improve the operation
of solar thermal plants based on mathematical optimization. The various schemes found in …

Optimal energy planning is a key topic in thermal solar trough plants. Obtaining a profitable
energy schedule is difficult due to the stochastic nature of solar irradiance and electricity …

This article proposes a real-time implementation of distributed model predictive controllers to
maximize the thermal energy generated by parabolic trough collector fields. For this control …

Parabolic-trough solar collector fields are large-scale systems, so the application of
centralized optimization-based control methods to these systems is often not suitable for real …

This study addresses the challenge and related difficulties of controlling solar collector fields
(SCFs) using high-complex models by proposing an adaptive optimal model-free controller …

This article proposes motion planning algorithms for industrial manipulators in the presence
of human operators based on deep neural networks (DNNs), aimed at imitating the behavior …

Abstract Concentrated Solar Power plants (CSP) have the energy storage capability to
generate electricity when sunlight is scarce. However, due to the highly non-linear dynamics …

Integrating distributed solar fields (DSFs) into conventional heat and power plants (CHPs) of
industries is mostly constrained by the availability of a real-time capable control scheme …

Concentrating solar power plants are a clean energy source capable of competitive
electricity generation even during night time, as well as the production of carbon-neutral …

Non‐linearity is an inherent feature of practical systems. Although there have been
significant advances in the control of nonlinear systems, the proposed methods often require …