Electric vehicles (EVs) are widespread, and their usage is increasing as a result of air
pollution and rising fuel costs. EVs are quickly gaining popularity as a green means of …

Solar energy is one of the most suggested sustainable energy sources due to its availability
in nature, developments in power electronics, and global environmental concerns. A solar …

This paper proposes a multi-strategy, multiple algorithms based hybrid strategy using flower
pollination algorithm (FPA), grey wolf optimizer (GWO), INFO, and naked mole rat algorithm …

This review aims to exploit a study on different benchmark test functions used to evaluate the
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …

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 …

A multi-hybrid algorithm is proposed in this paper based on the Kepler Optimization
algorithm (KOA), Red Panda Optimization (RPO), Meerkat Optimization (MO), and Grey Wolf …

This paper introduced a newly proposed Meta-heuristic (MH) algorithm for parameter
estimation of solar PV, ie Bonobo Optimizer (BO) algorithm. This algorithm has been …

Abstract The off-grid Hybrid Renewable Energy Systems (HRES) demonstrate great
potential to be sustainable and economically feasible options to meet the growing energy …

This study is presented to examine the performance of a newly proposed metaheuristic
algorithm within discrete and continuous search spaces. Therefore, the multithresholding …

Increasing the amount of direct current (DC) loads in applications such as airplanes,
spacecraft, electric vehicles (EV), and other similar applications DC-DC converters are …