A survey on the electric vehicle routing problem: variants and solution approaches
In order to ensure high‐quality and on‐time delivery in logistic distribution processes, it is
necessary to efficiently manage the delivery fleet. Nowadays, due to the new policies and …
necessary to efficiently manage the delivery fleet. Nowadays, due to the new policies and …
A review of machine learning approaches for electric vehicle energy consumption modelling in urban transportation
Global warming and carbon emissions have drawn attention to the need to decarbonize
transport. Promoting electric vehicles (EVs) has become an important strategy towards this …
transport. Promoting electric vehicles (EVs) has become an important strategy towards this …
Electric vehicle energy consumption modelling and estimation—A case study
I Miri, A Fotouhi, N Ewin - International Journal of Energy …, 2021 - Wiley Online Library
Electric vehicles (EVs) have a limited driving range compared to conventional vehicles.
Accurate estimation of EV's range is therefore a significant need to eliminate “range anxiety” …
Accurate estimation of EV's range is therefore a significant need to eliminate “range anxiety” …
Energy consumption analysis and prediction of electric vehicles based on real-world driving data
J Zhang, Z Wang, P Liu, Z Zhang - Applied Energy, 2020 - Elsevier
With increasing mass-adoption of electric vehicles, the energy consumption has become a
key performance index to electric vehicle drivers, automakers and policy-makers. Accurate …
key performance index to electric vehicle drivers, automakers and policy-makers. Accurate …
Electric vehicle routing problem with machine learning for energy prediction
Routing electric commercial vehicles requires taking into account their limited driving range,
which is affected by several uncertain factors such as traffic conditions. This paper presents …
which is affected by several uncertain factors such as traffic conditions. This paper presents …
A comparative performance of machine learning algorithm to predict electric vehicles energy consumption: A path towards sustainability
The rapid growth of transportation sector and related emissions are attracting the attention of
policymakers to ensure environmental sustainability. Therefore, the deriving factors of …
policymakers to ensure environmental sustainability. Therefore, the deriving factors of …
[HTML][HTML] Battery electric vehicle charging in China: Energy demand and emissions trends in the 2020s
The transportation sector is the third-largest global energy consumer and emitter, making it a
focal point in the transition toward the net-zero future. To accelerate the decarbonization of …
focal point in the transition toward the net-zero future. To accelerate the decarbonization of …
Electric vehicle energy consumption prediction using stacked generalization: An ensemble learning approach
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 …
prediction of electric vehicles (EVs) energy consumption. ESG is a weighted combination of …
Prediction of electric vehicle range: A comprehensive review of current issues and challenges
Electric vehicles (EV) are the immediate solution to drastically reducing pollutant emissions
from the transport sector. There is a continuing increase in the number of EVs in use, but …
from the transport sector. There is a continuing increase in the number of EVs in use, but …
Machine learning prediction models for battery-electric bus energy consumption in transit
The energy consumption (EC) of battery-electric buses (BEB) varies significantly due to the
intertwined relationships of vehicular, operational, topological, and external parameters …
intertwined relationships of vehicular, operational, topological, and external parameters …