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 …
Eco-Friendly Route Planning Algorithms: Taxonomies, Literature Review and Future Directions
Eco-friendly navigation (aka eco-routing) finds a route from A to B in a road network that
minimizes the greenhouse gas (GHG) emission or fuel/energy consumption of the traveling …
minimizes the greenhouse gas (GHG) emission or fuel/energy consumption of the traveling …
Review of Methods for Evaluating the Energy Efficiency of Vehicles with Conventional and Alternative Power Plants
V Mateichyk, N Kostian, M Smieszek, I Gritsuk… - Energies, 2023 - mdpi.com
The evaluation of the energy efficiency of vehicles in operating conditions is used to solve
management and control tasks in intelligent transport systems. The modern world fleet is …
management and control tasks in intelligent transport systems. The modern world fleet is …
[HTML][HTML] Total cost of ownership of internal combustion engine and electric vehicles: A real-world comparison for the case of Thailand
The transport sector accounts for massive global CO 2 emissions. To achieve low-carbon
transport systems, promoting electric vehicles (EVs) is a crucial strategy of worldwide …
transport systems, promoting electric vehicles (EVs) is a crucial strategy of worldwide …
Are electric vehicles getting too big and heavy? Modelling future vehicle journeying demand on a decarbonized US electricity grid
R Galvin - Energy Policy, 2022 - Elsevier
In the US a complete transition to electric vehicles (EVs) would increase demand for carbon-
free electricity by around 30% if the future fleet has the same average size, weight and …
free electricity by around 30% if the future fleet has the same average size, weight and …
The impact of electromobility in public transport: An estimation of energy consumption using disaggregated data in Santiago, Chile
Electromobility in public transport has become a promising way to reduce environmental
pollution. Several contributions have sought to estimate the energy consumption of buses in …
pollution. Several contributions have sought to estimate the energy consumption of buses in …
Remaining driving range prediction for electric vehicles: Key challenges and outlook
Remaining driving range (RDR) research has continued to consistently evolve with the
development of electric vehicles (EVs). Accurate RDR prediction is a promising approach to …
development of electric vehicles (EVs). Accurate RDR prediction is a promising approach to …
Privacy-aware energy consumption modeling of connected battery electric vehicles using federated learning
Battery Electric Vehicles (BEVs) are increasingly significant in modern cities due to their
potential to reduce air pollution. Precise and real-time estimation of energy consumption for …
potential to reduce air pollution. Precise and real-time estimation of energy consumption for …
[HTML][HTML] The social cost of carbon of different automotive powertrains: A comparative case study of Thailand
W Achariyaviriya, P Suttakul, T Fongsamootr, Y Mona… - Energy Reports, 2023 - Elsevier
Global carbon dioxide (CO 2) emissions have continuously grown over the past decade. In
recent years, nations worldwide have encouraged the use of electric vehicles to reduce the …
recent years, nations worldwide have encouraged the use of electric vehicles to reduce the …