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 …

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

This paper develops a novel nature-inspired metaheuristic technique named snow ablation
optimizer (SAO) for numerical optimization and engineering design. The SAO algorithm …

Photovoltaic (PV) and Wind turbine (WT) systems are the most promising options for rural
energy delivery. In the literature, numerous studies have simply considered only on …

A reliable methodology is essential for accurately estimating the parameters of PV models,
enabling reliable performance evaluations, effective control studies, accurate analysis of …

Wind power forecasting can effectively improve the energy utilization efficiency of a power
system and ensure its stable operation. In this study, a novel hybrid multistep prediction …

Accurately estimating the unknown parameters of the photovoltaic (PV) models based on the
measured voltage-current data is a challenging optimization problem due to its high …

Network-on-Chips (NoCs) serve as essential interconnection infrastructures in Multi-
processor System-on-Chip (MPSoC) designs, emphasizing flexibility, extensibility, and low …

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

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