Predicting gasoline vehicle fuel consumption in energy and environmental impact based on machine learning and multidimensional big data
Y Yang, N Gong, K Xie, Q Liu - Energies, 2022 - mdpi.com
The underestimation of fuel consumption impacts various aspects. In the vehicle market,
manufacturers often advertise fuel economy for marketing. In fact, the fuel consumption …
manufacturers often advertise fuel economy for marketing. In fact, the fuel consumption …
Models for predicting vehicle emissions: A comprehensive review
Air pollution is a primary concern, causing around 7 million premature deaths annually, with
traffic-related sources contributing 23%–45% of emissions. While several studies have …
traffic-related sources contributing 23%–45% of emissions. While several studies have …
Efficient management of energy consumption of electric vehicles using machine learning—A systematic and comprehensive survey
Electric vehicles are growing in popularity as a form of transportation, but are still underused
for several reasons, such as their relatively low range and the high costs associated with …
for several reasons, such as their relatively low range and the high costs associated with …
A synthetic data generation technique for enhancement of prediction accuracy of electric vehicles demand
S Chatterjee, YC Byun - Sensors, 2023 - mdpi.com
In terms of electric vehicles (EVs), electric kickboards are crucial elements of smart
transportation networks for short-distance travel that is risk-free, economical, and …
transportation networks for short-distance travel that is risk-free, economical, and …
Computational models for forecasting electric vehicle energy demand
Electric vehicles (EV) are fast becoming an integral part of our evolving society. There is a
growing movement in advanced countries to replace gas‐driven vehicles with EVs towards …
growing movement in advanced countries to replace gas‐driven vehicles with EVs towards …
[HTML][HTML] Explaining deep learning models for ozone pollution prediction via embedded feature selection
MJ Jiménez-Navarro, M Martínez-Ballesteros… - Applied Soft …, 2024 - Elsevier
Ambient air pollution is a pervasive global issue that poses significant health risks. Among
pollutants, ozone (O 3) is responsible for an estimated 1 to 1.2 million premature deaths …
pollutants, ozone (O 3) is responsible for an estimated 1 to 1.2 million premature deaths …
Fine-grained RNN with transfer learning for energy consumption estimation on EVs
Electric vehicles (EVs) are increasingly becoming an environmental-friendly option in
current transportation systems, thanks to reduced fossil fuel consumption and carbon …
current transportation systems, thanks to reduced fossil fuel consumption and carbon …
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 …
Machine learning to support low carbon energy transition
With the accelerated industrialization and urbanization over the past decades and
consequent greenhouse gas emissions, climate change has today become a major …
consequent greenhouse gas emissions, climate change has today become a major …
Forecast energy demand, CO2 emissions and energy resource impacts for the transportation sector
Managing energy demand and reducing greenhouse gas emissions are among the most
significant challenges ahead for many countries. Accurate prediction of energy demand and …
significant challenges ahead for many countries. Accurate prediction of energy demand and …