Conventional microgrids face a number of challenges due to intermittency of renewable
energy resources and the lack of any effective energy management system. Thus, there is a …

Varying power generation by industrial solar photovoltaic plants impacts the steadiness of
the electric grid which necessitates the prediction of solar power generation accurately. In …

The performance evaluation of a Photovoltaic (PV) system heavily relies on accurately
estimating the parameters based on its current—voltage relationships. However, due to the …

Reliable estimation of solar irradiance is required for many solar energy applications such
as photovoltaics, water heating, cooking, solar microgrids, etc. Deep Learning techniques …

An effective MPPT approach plays a significant role in increasing the efficiency of a PV
system. Solar energy is a rich renewable energy source that is supplied to the earth in …

Photovoltaic (PV) technology projects operate for 25–30 years under different climatic
conditions. However, for consistent economic returns, the system performance has to be …

Accurate parameter identification plays an integral role in the modeling of an optimized solar
module which in turn helps in the error‐free prediction of its output. Five important …

Solar photovoltaic microgrids are reliable and efficient systems without the need for energy
storage. However, during power outages, the generated solar power cannot be used by …

A combination of electrical circuit design and the Finite Automation model leads to improved
efficiency in terms of memory usage, computation time, and overall performance. LLC …

In this paper, the estimation of solar cell parameters in the Bishop model was developed.
The parameter estimation was formulated as an optimization problem. Several techniques …