A microgrid can be formed by the integration of different components such as loads,
renewable/conventional units, and energy storage systems in a local area. Microgrids with …

The need for better-performing algorithms to solve real-world power systems engineering
problems has always been a challenging topic. Due to their stochastic nature, metaheuristic …

Efficient speed controllers for dynamic driving tasks in autonomous vehicles are crucial for
ensuring safety and reliability. This study proposes a novel approach for designing a …

This paper presents a new metaheuristic algorithm by enhancing one of the recently
proposed optimizers named Aquila optimizer (AO). The enhanced AO (enAO) algorithm is …

The pressing need for sustainable energy solutions has driven significant research in
optimizing solar photovoltaic (PV) systems which is crucial for maximizing energy …

Accurate prediction of heating and cooling loads in residential buildings is crucial for both
researchers and practitioners. This study employs advanced forecasting techniques, utilizing …

Artificial rabbits (AR) optimization is a newly proposed swarm intelligence algorithm. The
idea of AR optimization (ARO) is inspired by the nature behaviors of the AR including the …

This paper addresses the design of an optimally executed proportional-integral-derivative
(PID) controller, tailored for the speed regulation of a direct current (DC) motor. To achieve …

This paper proposes an innovative simplified two-stage algorithm for precise and durable
regulation of the buck power systems. A critically damped of response is captured and …

This paper explains the construction of a novel augmented hunger games search algorithm
using a logarithmic spiral opposition-based learning technique. The proposed algorithm …