Accurate real-time energy consumption prediction of electric buses (EBs) is essential for bus
operation and management, which can effectively mitigate the driving range anxiety while …

Due to the excellent energy-saving and environmental protection features, electric vehicles
(EVs) are gaining significant market penetration, especially in densely populated urban …

Electric vehicles (EVs) have emerged as the green energy alternative for conventional
vehicles. While various governments promote EVs, people feel “range anxiety” because of …

In order to further improve the accuracy of electric bus energy consumption estimation and
reduce the complexity of using data, the paper proposes a new method for estimating …

In this paper, we present an ensemble stacked generalization (ESG) approach for better
prediction of electric vehicles (EVs) energy consumption. ESG is a weighted combination of …

Range anxiety remains one of the main hurdles to the widespread adoption of electric
vehicles (EVs). To mitigate this issue, accurate energy consumption prediction is required. In …

The rapid growth of transportation sector and related emissions are attracting the attention of
policymakers to ensure environmental sustainability. Therefore, the deriving factors of …

Energy consumption management is a referential approach to alleviate range anxiety. In this
paper, the data-driven modeling and analysis of energy consumption based on low …

The status of air pollution is serious all over the world. Analysing and predicting vehicle
energy consumption becomes a major concern. Vehicle energy consumption depends not …

Electric bus energy consumption prediction is conducive to bus route scheduling and
charging optimization management. However, existing prediction models do not …