[HTML][HTML] A review of the data-driven prediction method of vehicle fuel consumption

D Zhao, H Li, J Hou, P Gong, Y Zhong, W He, Z Fu - Energies, 2023 - mdpi.com
Accurately and efficiently predicting the fuel consumption of vehicles is the key to improving
their fuel economy. This paper provides a comprehensive review of data-driven fuel …

A multi-factor forecasting model for carbon emissions based on decomposition and swarm intelligence optimization

H Yang, M Wang, G Li - Measurement, 2023 - Elsevier
With the growth of national economy, carbon emissions are increasing day by day, which
has caused a series of adverse effects on people's production, life and environment …

[HTML][HTML] Estimating energy consumption of battery electric vehicles using vehicle sensor data and machine learning approaches

W Achariyaviriya, W Wongsapai, K Janpoom… - Energies, 2023 - mdpi.com
Transport electrification, which entails replacing fossil fuel-powered engines with electric
drivetrains through the use of electric vehicles (EVs), has been identified as a potential …

High-precision transient fuel consumption model based on support vector regression

X Liu, H Jin - Fuel, 2023 - Elsevier
Due to the increasingly severe environmental issues caused by transportation, energy
conservation and emission reduction have become one of the most important research …

[HTML][HTML] Machine-learning-based digital twins for transient vehicle cycles and their potential for predicting fuel consumption

E Tomanik, AJ Jimenez-Reyes, V Tomanik, B Tormos - Vehicles, 2023 - mdpi.com
Transient car emission tests generate huge amount of test data, but their results are usually
evaluated only using their “accumulated” cycle values according to the homologation limits …

A Predictive Analysis on CO2 Emissions in Automobiles using Machine Learning Techniques

MS Manvitha, MV Pujitha, NH Prasad… - … on Intelligent Data …, 2023 - ieeexplore.ieee.org
1.80 metric tonnes of CO 2 are emitted by citizens in India, which is highly detrimental to all
living beings. Climate change and glacier melting are the results of CO 2 emissions. Sea …

[HTML][HTML] Modeling Vehicle Fuel Consumption Using a Low-Cost OBD-II Interface

M Rykała, M Grzelak, Ł Rykała, D Voicu, RM Stoica - Energies, 2023 - mdpi.com
As a result of ever-growing energy demands, motor vehicles are among the largest
contributors to overall energy consumption. This has led researchers to focus on fuel …

[HTML][HTML] Research on the CO2 Emission Characteristics of a Light-Vehicle Real Driving Emission Experiment Based on Vehicle-Specific Power Distribution

H Xu, Y Lei, M Liu, Y Ge, L Hao, X Wang, J Tan - Atmosphere, 2023 - mdpi.com
China implemented the China VI emission standard in 2020. The China VI emission
standard has added requirements for the RDE (real-world driving emission) test. To evaluate …

A novel fractional-order grey prediction model: a case study of Chinese carbon emissions

H Li, Z Wu, S Qian, H Duan - Environmental Science and Pollution …, 2023 - Springer
Objective and accurate prediction of carbon emissions can provide a basis for the country to
achieve carbon emission reduction targets and can also comprehensively and scientifically …

[HTML][HTML] A Method to Predict CO2 Mass Concentration in Sheep Barns Based on the RF-PSO-LSTM Model

H Cen, L Yu, Y Pu, J Li, Z Liu, Q Cai, S Liu, J Nie, J Ge… - Animals, 2023 - mdpi.com
Simple Summary With the change in meat sheep breeding from traditional farming to large-
scale, intensified modern breeding practices, the environmental air quality in sheep barns …