The paper proposes the formulation of a single-task robot (ST), single-robot task (SR), time-
extended assignment (TA), multi-robot task allocation (MRTA) problem with multiple …

Fault detection is crucial for ensuring optimal operation and maintenance of solar plants.
This paper proposes a methodology for fault detection and isolation using artificial neural …

This paper presents a mobile sensor system to detect and estimate low direct normal
irradiance (DNI) areas caused by clouds shadows. This work proposes using a team of …

The main control objective in commercial solar parabolic plants is to track the average
temperature of all the loops around a reference set by the operator, by manipulating the flow …

With the ambition of achieving carbon neutrality worldwide, renewable energy is flourishing.
However, due to the inherent uncertainties and intermittence, operation flexibility of …

In this paper, an event-Mixed Integer Linear Programming (MILP)-based algorithm is
proposed to solve the task allocation problem in a Robotic Sensor Network (RSN). A fleet of …

Solar plants are exposed to the appearance of faults in some of their components, as they
are vulnerable to the action of external agents (wind, rain, dust, birds…) and internal defects …

Commercial solar plants produce energy around a nominal operating point in which the
solar field outlet temperature is high and close to the thermal limit of the heat transfer fluid …

A novel hybrid parabolic trough power system that integrates direct steam generation and
molten salt systems is proposed in this study to stably and efficiently operate solar power …

Competitiveness of solar energy is one of current main research topics. Overall efficiency of
solar plants can be improved by using advanced control strategies. To design and tuning …