The slime mould algorithm (SMA) is a population-based optimization algorithm that mimics
the foraging behavior of slime moulds with a simple structure and few hyperparameters …

Extraction of the photovoltaic (PV) model parameters is critical for forecasting these systems'
energy output. Numerous research have reviewed and presented approaches for figuring …

Estimating the photovoltaic model's unknown parameters efficiently and accurately can
determine the solar cell's efficacy in converting the solar energy into electricity. For this …

Renewable energy is becoming more popular due to environmental concerns about the
previous energy source. Accurate solar photovoltaic system model parameters substantially …

In this paper, an adaptive Harris hawk optimization with persistent trigonometric (sine–
cosine)-differences (ADHHO) is proposed for parameter identification of Photovoltaic (PV) …

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 paper introduces a comprehensive survey of a new population-based algorithm so-
called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as …

Photovoltaic (PV) technology can convert solar energy to electric power, which is an
essential tool for future years. Subsequently, several static solar PV models have been …

In this work, we present Improved electromagnetism-like algorithm and Differential
quadrature technique as new efficient algorithms. Improved electromagnetism-like algorithm …

Deriving optimal photovoltaic (PV) models' optimal parameters have tremendous
significance in simulating, evaluating, and controlling the photovoltaic systems. Determining …