This paper presents a novel probabilistic data-driven approach to trip-level energy
consumption estimation of battery electric vehicles (BEVs). As there are very few electric …

In recent years, global greenhouse gas emissions have become an important issue.
Electrical Vehicles (EVs) are a promising solution to reduce greenhouse gas emissions …

Electric buses play a vital role in future sustainable transportation and estimating the energy
consumption of electric buses is important for reducing range anxiety and optimizing …

Electric vehicles (EVs) are critical to the transition to a low-carbon transportation system. The
successful adoption of EVs heavily depends on energy consumption models that can …

Although electric vehicles (EVs) are becoming a promising alternative for ground
transportation, the issue of limited battery energy hinders its market penetration. Accurate …

Battery electric vehicles (BEVs) are an immediate solution to the reduction of greenhouse
gas emissions. However, BEVs are limited in their range by the battery capacity. An accurate …

Predicting the energy consumption of electric vehicles (EVs) plays an essential role in many
EV planning and operation problems, such as route planning, eco-driving guidance, and …

Electric vehicles (EVs) seem to be an eminent alternative for ground transportation. Yet,
human drivers may suffer from EV's range anxiety, which is engendered by EV's limited …

Recently, there has been an increasing interest in the roll-out of electric vehicles (EVs) in the
global automotive market. Compared to conventional internal combustion engine vehicles …

Accurately predicting the energy consumption of an electric vehicle (EV) under real-world
circumstances (such as varying road, traffic, weather conditions, etc.) is critical for a number …