Internet of Vehicles (IoV) Based Framework for electricity Demand Forecasting in V2G
The integration of smart grids with Advanced Metering Infrastructure (AMI) has bridged the
realms of the Internet of Vehicles (IoV) and Electric Vehicles (EVs), yet challenges persist in …
realms of the Internet of Vehicles (IoV) and Electric Vehicles (EVs), yet challenges persist in …
Machine-learning-based carbon dioxide concentration prediction for hybrid vehicles
The current understanding of CO2 emission concentrations in hybrid vehicles (HVs) is
limited, due to the complexity of the constant changes in their power-train sources. This …
limited, due to the complexity of the constant changes in their power-train sources. This …
A novel grey multivariate convolution model based on the improved marine predators algorithm for predicting fossil CO2 emissions in China
H Cang, X Zeng, S Yan - Expert Systems with Applications, 2024 - Elsevier
The effective prediction of fossil carbon dioxide (CO 2) emissions provides a foundation for
environmental protection authorities to make relevant management and decisions. CO 2 …
environmental protection authorities to make relevant management and decisions. CO 2 …
IoT-based CO2 Gas-level Monitoring and Automated Decision-making System in Smart Factory using UAV-assisted MEC
M Masuduzzaman, R Nugraha… - … Conference on Decision …, 2022 - ieeexplore.ieee.org
Monitoring the CO 2 gas level in a smart factory is essential as the high levels of CO 2 gas
negatively affect the human body, causing various physical problems. This paper presents …
negatively affect the human body, causing various physical problems. This paper presents …
[HTML][HTML] Non-invasive, plug-and-play pollution detector for vehicle on-board instantaneous CO2 emission monitoring
Autonomous driving has gained momentum in recent years. To help create a sustainable
future, an autonomous vehicle should take into account its carbon footprint. This work …
future, an autonomous vehicle should take into account its carbon footprint. This work …
Boosting research for carbon neutral on edge UWB nodes integration communication localization technology of IoV
Reducing carbon emission to improving the economy of fuel vehicle is one of the effective
ways to achieve Carbon Neutrality. The Internet of Vehicles (IoV) is a developing technology …
ways to achieve Carbon Neutrality. The Internet of Vehicles (IoV) is a developing technology …
Sustainability with Limited Data: A Novel Predictive Analytics Approach for Forecasting CO2 Emissions
CK Filelis-Papadopoulos, SN Kirshner… - Information Systems …, 2024 - Springer
Abstract Unforeseen events (eg, COVID-19, the Russia-Ukraine conflict) create significant
challenges for accurately predicting CO2 emissions in the airline industry. These events …
challenges for accurately predicting CO2 emissions in the airline industry. These events …
Vehicle and driver monitoring system using on-board and remote sensors
AE Campos-Ferreira, JJ Lozoya-Santos… - Sensors, 2023 - mdpi.com
This paper presents an integrated monitoring system for the driver and the vehicle in a
single case of study easy to configure and replicate. On-board vehicle sensors and remote …
single case of study easy to configure and replicate. On-board vehicle sensors and remote …
An Optimal Approach to Vehicular CO2 Emissions Prediction using Deep Learning
One of the biggest challenges faced by humanity today is climate change. Governmental
Organisations and Au-thorities all across the world, are now taking important steps to tackle …
Organisations and Au-thorities all across the world, are now taking important steps to tackle …
On the Use of Biofuels for Cleaner Cities: Assessing Vehicular Pollution through Digital Twins and Machine Learning Algorithms
The air pollution caused by greenhouse gas emissions, particularly carbon dioxide (CO 2),
is a significant environmental concern that impacts air quality and contributes to global …
is a significant environmental concern that impacts air quality and contributes to global …