Adopting suitable energy policies that consider the existence of main obstacles could make
the development of solar energy systems much smoother. Several obstacles have been …

This study addresses the challenges in accurately estimating photovoltaic (PV) parameters
for solar energy applications by enhancing parameter extraction processes to improve the …

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 …

A recent optimization algorithm, the Rime Optimization Algorithm (RIME), was developed to
efficiently utilize the physical phenomenon of rime-ice growth. It simulates the hard-rime and …

With the development of intelligent manufacturing in China, Radio Frequency Identification
(RFID), a key technology for smart factories, has received widespread attention. As RFID …

It was possible to conduct a study on the shape and parameterization of the vibrating screen
so as to explore the relationship between detailed vibrating screen motion parameters and …

Currently, the improvement of model parameter extraction accuracy is essential to research
photovoltaic (PV) fields. In this study, a model parameter identification based on …

The determination of photovoltaic (PV) model parameters has essential theoretical and
practical significance for the performance evaluation, power monitoring, and power …

The artificial hummingbird algorithm (AHA) is a recently introduced versatile metaheuristic
optimizer that simulates flight patterns and intelligent foraging skills of hummingbirds. It has …

Fossil fuel prices are increasing day by day due to growing demand and resource
limitations. This situation shifts conventional electricity generation to renewable power …