Carbon emission prediction models: A review

Y Jin, A Sharifi, Z Li, S Chen, S Zeng, S Zhao - Science of the Total …, 2024 - Elsevier
Amidst growing concerns over the greenhouse effect, especially its consequential impacts,
establishing effective Carbon Emission Prediction Models (CEPMs) to comprehend and …

[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 …

[HTML][HTML] A tinyml soft-sensor approach for low-cost detection and monitoring of vehicular emissions

P Andrade, I Silva, M Silva, T Flores, J Cassiano… - Sensors, 2022 - mdpi.com
Vehicles are the major source of air pollution in modern cities, emitting excessive levels of
CO2 and other noxious gases. Exploiting the OBD-II interface available on most vehicles …

[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 …

[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 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 …

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] Prediction of Real Driving Emission of Light Vehicles in China VI Based on GA-BP Algorithm

H Yu, H Chang, Z Wen, Y Ge, L Hao, X Wang, J Tan - Atmosphere, 2022 - mdpi.com
In the China VI regulations for light-duty vehicles, the (RDE) test is introduced as a
supplementary test procedure. In the actual test process, the RDE results are more …

[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 …