The demands for renewable energy generation are progressively expanding because of
environmental safety concerns. Renewable energy is power generated from sources that …

Abstract Arithmetic Optimization Algorithm (AOA) is a recently developed population-based
nature-inspired optimization algorithm (NIOA). AOA is designed under the inspiration of the …

Artificial neural networks (ANNs) have achieved great success in performing machine
learning tasks, including classification, regression, prediction, image processing, image …

Abstract The Proportional-Integral-Derivative (PID) controller is a key component in most
engineering applications. The main disadvantage of PID is the selection of the best values …

Photovoltaic module parameter estimation is a critical step in observing, analyzing, and
optimizing the efficiency of solar power systems. To find the best value for unknown …

In order for the photovoltaic power generation system to convert energy with the highest
efficiency after installation, the unknown parameters of the photovoltaic model need to be …

This paper proposes an improved variant of the arithmetic optimization algorithm (AOA),
called LMRAOA, which is used to solve numerical and engineering problems. Various …

The mathematical modelling and optimization of nonlinear problems arising in diversified
engineering applications is an area of great interest. The Hammerstein structure is widely …

This paper presents an adaptive PID using stochastic gradient descent with momentum
(SGDM) for a proton exchange membrane fuel cell (PEMFC) power system. PEMFC is a …

This paper presents a novel attempt to identify the seven unknown proton exchange
membrane (PEM) Fuel Cells (PEMFCs)'parameters. The sum of quadratic deviations (SQD) …