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 …
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 …
Development of an energy consumption prediction model for battery electric vehicles in real-world driving: A combined approach of short-trip segment division and …
Y Pan, W Fang, W Zhang - Journal of Cleaner Production, 2023 - Elsevier
Due to the excellent energy-saving and environmental protection features, electric vehicles
(EVs) are gaining significant market penetration, especially in densely populated urban …
(EVs) are gaining significant market penetration, especially in densely populated urban …
Prediction of electric vehicle charging duration time using ensemble machine learning algorithm and Shapley additive explanations
Electric vehicles (EVs) are the most important components of smart transportation systems.
Limited driving range, prolonged charging times, and inadequate charging infrastructure are …
Limited driving range, prolonged charging times, and inadequate charging infrastructure are …
Analysis and prediction model of fuel consumption and carbon dioxide emissions of light-duty vehicles
Due to the alarming rate of climate change, fuel consumption and emission estimates are
critical in determining the effects of materials and stringent emission control strategies. In this …
critical in determining the effects of materials and stringent emission control strategies. In this …
From driving behavior to energy consumption: A novel method to predict the energy consumption of electric bus
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 …
operation and management, which can effectively mitigate the driving range anxiety while …
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 …
Multilayer perceptron method to estimate real-world fuel consumption rate of light duty vehicles
Y Li, G Tang, J Du, N Zhou, Y Zhao, T Wu - Ieee Access, 2019 - ieeexplore.ieee.org
The actual driving condition and fuel consumption rate gaps between lab and real-world are
becoming larger. In this paper, we demonstrate an approach to determine the most …
becoming larger. In this paper, we demonstrate an approach to determine the most …
Prediction of electrical energy consumption based on machine learning technique
R Banik, P Das, S Ray, A Biswas - Electrical Engineering, 2021 - Springer
The forecast of electricity demand in recent years is becoming increasingly relevant because
of market deregulation and the introduction of renewable resources. To meet the emerging …
of market deregulation and the introduction of renewable resources. To meet the emerging …
Machine learning-based method for remaining range prediction of electric vehicles
L Zhao, W Yao, Y Wang, J Hu - Ieee Access, 2020 - ieeexplore.ieee.org
Limited driving range is one of the major obstacles to the widespread application of electric
vehicles (EVs). Accurately predicting the remaining driving range can effectively reduce the …
vehicles (EVs). Accurately predicting the remaining driving range can effectively reduce the …