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 …

Artificial intelligence based maximum power point tracking (MPPT) techniques play an
essential role in improving the efficiency of photovoltaic power conversion systems. Over the …

Maximum power point tracking (MPPT) is an effective method to improve the power
generation efficiency and power supply quality of a proton exchange membrane fuel cell …

With the expansion of the scale of application of photovoltaic (PV) power generation, PV
maximum power point tracking (MPPT) technology has been transformed from uniform …

The extraction of power at global maximum power point (GMPP) has been affected due to
non-uniform row-current generation leading to the formation of multiple peaks in power …

This study focuses on the implementation of an efficient hybrid power system in two main
phases. Firstly, it aims to optimize the performance of individual renewable energy sources …

While the partial shading operation is observed in the photovoltaic (PV) panel, the solar
radiation strikes the PV modules placed in a non-homogeneous PV array. Most of the array …

ABSTRACT Maximum Power Point Tracking (MPPT) plays a significant role in obtaining
maximum power at PV system outputs. Recent research has focused on minimizing the …

In this paper, based on the modified fuzzy c-regression model and noise clustering
algorithm, a fuzzy identification method is proposed. Firstly, by considering the relations for …

To date, it is lacking of an effective global extreme seeking control (GESC) approach to
improve transient responses. Motivated by this engineering problem, a novel and general …