Accurate parameter identification is crucial for a precise PV cell modelling and analysis of
characteristics of PV systems, while high nonlinearity of output IV curve makes this problem …

This paper completely introduces an exhaustive and a comprehensive review of the so-
called salp swarm algorithm (SSA) and discussions its main characteristics. SSA is one of …

Feature selection is a required preprocess stage in most of the data mining tasks. This paper
presents an improved Harris hawks optimization (HHO) to find high-quality solutions for …

In this paper, a novel population-based, nature-inspired optimization paradigm is proposed,
which is called Harris Hawks Optimizer (HHO). The main inspiration of HHO is the …

Cloud-fog computing frameworks are emerging paradigms developed to add benefits to the
current Internet of Things (IoT) architectures. In such frameworks, task scheduling plays a …

Photovoltaic (PV) generation systems are vital to the utilization of the sustainable and
pollution-free solar energy. However, the parameter estimation of PV systems remains very …

Quickly, accurately and reliably extract the parameters of solar photovoltaic (PV) model is
very critical to simulate, evaluate and control the PV systems. During the past few years …

Moth-flame optimization (MFO) is a widely used nature-inspired algorithm characterized by a
simple structure with simple parameters. However, for some complex optimization tasks …

The recent global warming effect has brought into focus different solutions for combating
climate change. The generation of climate-friendly renewable energy alternatives has been …

Accurate estimation of critical parameters of the photovoltaic models is a highly demanding
task in modeling and simulating the photovoltaic systems. In this research, a diversification …