In recent years, mobile devices are equipped with increasingly advanced sensing and
computing capabilities. Coupled with advancements in Deep Learning (DL), this opens up …

In recent years, countries around the world have attached great attention to the development
of transportation electrification. As an alternative to achieve carbon neutrality, Electric …

Battery electric vehicles (BEVs) have emerged as a promising alternative to traditional
internal combustion engine (ICE) vehicles due to benefits in improved fuel economy, lower …

In this paper, we propose novel approaches using state-of-the-art machine learning
techniques, aiming at predicting energy demand for electric vehicle (EV) networks. These …

Coupling energy and transport sectors is critical for optimum utilization of renewable energy.
The present work proposes a grid-connected photovoltaic/wind/battery hybrid power system …

The rapid adoption of electric vehicles (EVs) calls for the widespread installation of EV
charging stations. To maximize the profitability of charging stations, intelligent controllers …

At present, the electric vehicle (EV) market is developing strongly and widely across many
countries around the world. Increasing clean energy infrastructure for EVs is a possible …

Electric vehicle (EV) taxis have been introduced into the public transportation systems to
increase EV market penetration. Different from regular taxis that can refuel in minutes, EV …

We propose offline and online scheduling algorithms for the charging of electric vehicles
(EVs) in a single charging station (CS). The station has available cheaper, but limited …

The Internet of Vehicles connects all vehicles and shares dynamic vehicular data via
wireless communications to effectively control vehicles and improve traffic efficiency …