The use of photovoltaic systems for clean electrical energy has increased. However, due to
their low efficiency, researchers have looked for ways to increase their effectiveness and …

The uncertainty associated with modeling and performance prediction of solar photovoltaic
systems could be easily and efficiently solved by artificial intelligence techniques. During the …

Power prediction is now a crucial part of contemporary energy management systems, which
is important for the organization and administration of renewable resources. Solar and wind …

The explosive demand for a wide range of data processing has sparked interest towards a
new logic gate platform as the existing electronic logic gates face limitations in accurate and …

This work proposes a novel fault diagnostic technique for photovoltaic systems based on
Artificial Neural Networks (ANN). For a given set of working conditions-solar irradiance and …

In recent years, with the advent of globalization, the world is witnessing a steep rise in its
energy consumption. The world is transforming itself into an industrial and knowledge …

Given the considerable recent attention to distributed power generation and interest in
sustainable energy, the integration of photovoltaic (PV) systems to grid-connected or …

This paper reviews applied single and hybrid solar energy-saving techniques with emphasis
on solar chimney, Trombe wall, and photovoltaics for building energy consumption and …

The determination of “dual-carbon” puts forward more stringent requirements for methane
emission reduction in the coal industry. Gas extraction technology, as an important means of …

Power delivered by a Photovoltaic (PV) cell reduces significantly due to non-uniform
irradiance. Consequently, in the case of PV module or array, the generated output power get …