The primary energy sources in the world are fossil fuels like coal and oil. Overuse will result
in issues like the greenhouse impact and energy depletion. Finding high-efficiency, clean …

This research focuses on the application of artificial neural networks (ANNs) on parameters
extraction of photovoltaic (PV) models. Extracting parameters of the PV models accurately is …

This paper presents a novel technique from the family of artificial intelligence to optimize the
essential modeling parameters of Photovoltaic (PV) cell. Though many parameter extraction …

Solar photovoltaic technology is spreading extremely rapidly and is becoming an aiding tool
in grid networks. The power of solar photovoltaics is not static all the time; it changes due to …

Distributed generators are used to support the main power stations as well as the capacities
of the secondary distribution stations and diversify energy sources. The right placement of …

Photovoltaic (PV) energy represents one of the most important renewable energies, but its
disadvantage resides in its maximum power point, which varies according to meteorological …

Photovoltaic (PV) technology is in the forefront of renewable energy and gained a lot of
attention as a very promising green technology towards direct solar energy conversion to …

In this paper, a feedforward Artificial Neural Network (ANN) technique using experimental
data is designed for predicting the maximum power point of a photovoltaic array. An ANN …

Artificial Neural Network (ANN) techniques are becoming useful in the current era due to the
vast development of the current computer technologies. ANN has been used in various …

As the growing demand for energy as well as the strengthening of environmental
awareness, photovoltaic power generation, as a clean and renewable energy source, has …