Add to ORKGThis paper presents a model of neural network for position control of solar panels in multiagent-based control systems. This neural network is integrated within agents in order to optimize and predict the best positioning of solar panels depending on the position of the sun and other variables. The agents in this system can cooperate and coordinate to achieve a sun tracking system optimized, simple and adaptive.Junta de Andalucía P08-TIC-03862 (CARISMA
The demand for renewable energy has increased because it is considered a clean energy and does not r...
Due to the variability of weather conditions and equipment properties the maximum power point tracki...
AbstractThis paper presents the method for sun-tracking system by using solar position algorithm as ...
This paper presents the simulation and the implementation of a model of a neural network applied to...
Nowadays, solar energy is becoming more popular as it promotes awareness of an eco-friendly lifestyl...
With the rise in the use of renewable energies, solar panels have proven to be reliable and have a f...
Abstract. A new model of neural network and a new type of neural controller are proposed, aiming to ...
In this context, the optimization of photovoltaic energy production is studied and presented. In ord...
Solar energy is rapidly gaining notoriety as an important means of expanding renewable energy resour...
In this context, the optimization of photovoltaic energy production is studied and presented. In ord...
An adaptive and optimal control strategy for a solar photovoltaic (PV) system is proposed in this pa...
In recent years, a radical increase of photovoltaic (PV) power generators installation took place be...
Scientists are looking for ways to improve the efficiency of solar cells all the time. The efficienc...
Scientists are looking for ways to improve the efficiency of solar cells all the time. The efficienc...
Photovoltaic panels are less efficient when fixed only to a particular angle of inclination with the...
The demand for renewable energy has increased because it is considered a clean energy and does not r...
Due to the variability of weather conditions and equipment properties the maximum power point tracki...
AbstractThis paper presents the method for sun-tracking system by using solar position algorithm as ...
This paper presents the simulation and the implementation of a model of a neural network applied to...
Nowadays, solar energy is becoming more popular as it promotes awareness of an eco-friendly lifestyl...
With the rise in the use of renewable energies, solar panels have proven to be reliable and have a f...
Abstract. A new model of neural network and a new type of neural controller are proposed, aiming to ...
In this context, the optimization of photovoltaic energy production is studied and presented. In ord...
Solar energy is rapidly gaining notoriety as an important means of expanding renewable energy resour...
In this context, the optimization of photovoltaic energy production is studied and presented. In ord...
An adaptive and optimal control strategy for a solar photovoltaic (PV) system is proposed in this pa...
In recent years, a radical increase of photovoltaic (PV) power generators installation took place be...
Scientists are looking for ways to improve the efficiency of solar cells all the time. The efficienc...
Scientists are looking for ways to improve the efficiency of solar cells all the time. The efficienc...
Photovoltaic panels are less efficient when fixed only to a particular angle of inclination with the...
The demand for renewable energy has increased because it is considered a clean energy and does not r...
Due to the variability of weather conditions and equipment properties the maximum power point tracki...
AbstractThis paper presents the method for sun-tracking system by using solar position algorithm as ...