Currently, solar energy is one of the leading renewable energy sources that help support
energy transition into decarbonized energy systems for a safer future. This work provides a …

This article analyzes the relationship between artificial intelligence (AI) and photovoltaic
(PV) systems. Solar energy is one of the most important renewable energies, and the …

The parameter extraction of the PV model is a challenging issue owing to its multi-model
and nonlinear characteristics. Moreover, these characteristics of the problem render the …

When COVID-19 suddenly broke out, the epidemic areas are short of basic emergency relief
which need to be transported from surrounding areas. To make transportation both time …

Given the multi-model and nonlinear characteristics of photovoltaic (PV) models, parameter
extraction presents a challenging problem. This challenge is exacerbated by the propensity …

As the photovoltaic (PV) market share continues to increase, accurate PV modeling will have
a massive impact on the future energy landscape. Therefore, it is imperative to convert …

Biodiesel is considered to be a promising alternative option to diesel fuel. The main
contribution of the current work is to improve compression ignition engine performance …

Salp swarm algorithm (SSA) is a relatively new and straightforward swarm-based meta-
heuristic optimization algorithm, which is inspired by the flocking behavior of salps when …

The parameter assessment of solar cells and photovoltaic (PV) modules is a challenging
task due to the non-linearity behavior of the current–voltage (I–V) characteristic curve. This …

This study introduces a new approach for parameter optimization in the four-diode
photovoltaic (PV) model, employing a Dynamic Fitness-Guided Particle Swarm Optimization …