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 …

Microgrids with integrated renewable energy-based distributed generation (RDG) and
battery energy storage systems (BESS) should be effectively designed and controlled to …

The integration of Multi-Objective Optimization (MOO) and Multi-Criteria Decision-Making
(MCDM) has gathered significant attention across various scientific research domains to …

This article proposed a Salp Swarm nature-inspired metaheuristic optimization algorithm
(SSA) for the energy management and capacity planning of a standalone hybrid …

Multi-agent deep reinforcement learning (MADRL) approaches are at the forefront of
contemporary research in optimum electric vehicle (EV) charging scheduling challenges …

The major obstacle in designing of the wind turbine/photovoltaic/battery storage system lies
in the task of choosing the most optimum solution while simultaneously considering techno …

Microgrids (MGs) have emerged as a promising solution for providing reliable and
sustainable electricity, particularly in underserved communities and remote areas …

Public transportation agencies have prioritized transitioning to battery electric buses to
enhance sustainable urban mobility. However, this transition faces barriers of various …

The deployment of energy storage on the supply side effectively addresses the challenge
posed by the intermittency and fluctuation of renewable energy. Optimizing capacity …

In this study, a combination of a battery energy storage (BES) and a solar photovoltaic (PV)
system is proposed to reduce peak demand and energy costs in a commercial building in …