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 …
Battery electric vehicle energy consumption prediction for a trip based on route information
J Wang, I Besselink, H Nijmeijer - Proceedings of the …, 2018 - journals.sagepub.com
Drivers of battery electric vehicles (BEVs) require an accurate and reliable energy
consumption prediction along a chosen route to reduce range anxiety. The energy …
consumption prediction along a chosen route to reduce range anxiety. The energy …
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 …
Data-driven estimation of energy consumption for electric bus under real-world driving conditions
Reliable and accurate estimation of an electric bus's instantaneous energy consumption is
critical in evaluating energy impacts of planning and control of electric bus operations. In this …
critical in evaluating energy impacts of planning and control of electric bus operations. In this …
A hybrid EMD-GRNN-PSO in intermittent time-series data for dengue fever forecasting
Accurate forecasting of dengue cases number is urgently needed as an early warning
system to prevent future outbreaks. However, forecasting dengue fever cases with …
system to prevent future outbreaks. However, forecasting dengue fever cases with …
A review and outlook of energy consumption estimation models for electric vehicles
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 …
successful adoption of EVs heavily depends on energy consumption models that can …
Instantaneous vehicle fuel consumption estimation using smartphones and recurrent neural networks
The high level of air pollution in urban areas, caused in no small extent by road transport,
requires the implementation of continuous and accurate monitoring techniques if emissions …
requires the implementation of continuous and accurate monitoring techniques if emissions …
A model for range estimation and energy-efficient routing of electric vehicles in real-world conditions
This paper presents an integrated model for energy consumption and range estimation,
capable of energy-efficient routing. This integrated model predicts the energy consumption …
capable of energy-efficient routing. This integrated model predicts the energy consumption …
Application of the support vector machine and heuristic k-shortest path algorithm to determine the most eco-friendly path with a travel time constraint
This study aims to determine an eco-friendly path that results in minimum CO 2 emissions
while satisfying a specified budget for travel time. First, an aggregated CO 2 emission model …
while satisfying a specified budget for travel time. First, an aggregated CO 2 emission model …
Predictability of vehicle fuel consumption using LSTM: Findings from field experiments
G Wang, L Zhang, Z Xu, R Wang, SM Hina… - … Engineering, Part A …, 2023 - ascelibrary.org
It has been well-recognized that driving behaviors significantly impact the fuel consumption
of vehicles. To explore how well deep learning methods can predict fuel consumption …
of vehicles. To explore how well deep learning methods can predict fuel consumption …