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

The forecasting and estimation of wind power is a challenging problem in renewable energy
generation due to the high volatility of wind power resources, inevitable intermittency, and …

Given the photovoltaic (PV) model's multi-model and nonlinear properties, extracting its
parameters is a difficult problem to solve. Furthermore, because of the features of the …

As data volumes have increased and difficulty in tackling vast and complicated problems
has emerged, the need for innovative and intelligent solutions to handle these difficulties …

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 …

The appropriate selection of parameters of photovoltaic models is necessary for an accurate
evaluation, control, and optimization of photovoltaic systems. Even though various strategies …

This article proposes an effective evolutionary hybrid optimization method for identifying
unknown parameters in photovoltaic (PV) models based on the northern goshawk …

Since the behavior of photovoltaic (PV) modules under different operational conditions is
highly nonlinear, predicting the performance of PV systems in industrial applications is …

This paper presents a new hybrid genetic-particle swarm optimization (GPSO) algorithm for
solving multi-constrained optimization problems. This algorithm is different from the …

To improve the performance of the arithmetic optimization algorithm (AOA) and solve
problems in the AOA, a novel improved AOA using a multi-strategy approach is proposed …