Abstract Machine learning (ML) and deep learning (DL) have enabled algorithms to
autonomously acquire knowledge from data, facilitating predictive and decision-making …

Transportation electrification has the potential to reduce carbon emissions from the transport
sector. However, the increased penetration of electric vehicles (EVs) can potentially …

The widespread adoption of electric vehicles (EVs) significantly increases the uncertainty
and complexity of regional integrated energy system (RIES), leading to substantial changes …

Electric vehicles (EVs) become more popular as a form of transportation and companies that
make useful things are focusing on building charging stations for customers. It is hard to …

The gradual adoption of electric vehicles (EVs) globally serves as a crucial move toward
addressing global decarbonization goals for sustainable development. However, the lack of …

Uncertain demand of power for EVs due to their intermittent arrival time and unknown
charging requirement may lead to higher costs of power procurement and scheduling …

Electrical vehicles are finding wide acceptance in the Jordanian transportation market; this
has caused an accelerating shift in the emissions of greenhouse gases from the direct …

The rise of electric vehicles (EVs) has significantly transformed transportation, offering
environmental advantages by curbing greenhouse gas emissions and fossil fuel …

Transportation electrification has emerged as a pivotal solution to mitigate carbon emissions
from the transportation sector. However, this shift towards electric vehicles (EVs) presents …

To ensure the security of the coupled distribution-transportation networks (CDTN) after a
fault occurs, an improved road model and a bi-level planning method are proposed for …