Fuel cell hybrid electric vehicles (FCHEVs) are gaining recognition as a pivotal innovation in
the quest for sustainable transportation, seamlessly blending the advantages of fuel cells …

This review comprehensively examines the burgeoning field of intelligent techniques to
enhance power systems' stability, control, and protection. As global energy demands …

With the growing concerns over energy scarcity and environmental degradation, multi-
energy hybrid propulsion systems are emerging as a vital innovation for the future of …

Metro trains have non-linear load characteristics, which means that the power sent to them
gets distorted. Problems are caused by changes in power, swells, harmonics, and other …

Microgrids (MGs) have evolved as critical components of modern energy distribution
networks, providing increased dependability, efficiency, and sustainability. Effective control …

This systematic review paper examines the current integration of artificial intelligence into
energy management systems for electric vehicles. Using the preferred reporting items for …

This research introduces a pioneering Energy Management System (EMS) for microgrids,
integrating fuzzy neural networks and a modified particle swarm optimization (MPSO) …

The integration of Artificial Intelligence (AI) in Energy Storage Systems (ESS) for Electric
Vehicles (EVs) has emerged as a pivotal solution to address the challenges of energy …

In this paper, we propose a novel demand-side management (DSM) system designed to
optimize electric vehicle (EV) charging at public stations using model predictive control …

Purpose: This paper seeks to determine how AI can be used in the furtherment and
management of distributed generation of renewable power, and how it can address …