Maintaining a stable balance between generated power and load demand is a critical
challenge in modern power systems, especially with the increasing integration of renewable …

Accurately estimating the unknown parameters of the photovoltaic (PV) models based on the
measured voltage-current data is a challenging optimization problem due to its high …

Various real-time processes are effectively represented with a fractional nonlinear
autoregressive exogenous (F-NARX) model where estimation of model parameters is …

Accurate parameter control and optimization are vital issues in the process of utilizing solar
energy through photovoltaic systems, which poses significant challenges due to the inherent …

The imperative shift towards renewable energy sources, driven by environmental concerns
and climate change, has cast a spotlight on solar energy as a clean, abundant, and cost …

Many real-world engineering problems, characterized by high-dimensionality, nonlinearity,
nonconvexity, and multi-modality, demand advanced optimization methods. Traditional …

Accurate parameters' identifications of photovoltaic models is essential for precise
simulation and analysis of integrated and standalone photovoltaic systems which is directly …

Identifying the parameters of a solar photovoltaic (PV) model optimally, is necessary for
simulation, performance assessment, and design verification. However, precise PV cell …

In recent times, there has been notable progress in control systems across various industrial
domains, necessitating effective management of dynamic systems for optimal functionality. A …