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

The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …

Electric vehicles (EV) are an emerging mode of transportation that has the potential to
reshape the transportation sector by significantly reducing carbon emissions thereby …

The significant rise of electric vehicles (EVs) and distributed energy resources (DERs) poses
critical challenges to the distribution systems for maintaining statutory limits of technical and …

This research paper explores the importance of optimizing the performance of electric
vehicle (EV) batteries to align with the rapid growth in EV usage. It uses predictive machine …

The use of electric vehicles (EVs) has been on the rise during the past decade, and the
number is expected to rapidly increase in the future. At aggregated level, the large EV …

Demand-side decarbonization and electrification promote a strong coupling between
electric vehicles (EVs) and buildings. From a building-centric perspective, this paper …

Over the decades, Artificial Intelligence (AI) and machine learning has become a
transformative solution in many sectors, services, and technology platforms in a wide range …

Objective The aim was to systematically evaluate the usability of all public electric vehicles
(EV) direct current fast chargers (DCFC) in the San Francisco region. Background To …

The immense growth and penetration of electric vehicles has become a major component of
smart transport systems; thereby decreasing the greenhouse gas emissions that pollute the …