Microgrid energy optimization and realization by means of plug-in electric vehicles in both v2g-g2v environment

M Ramachandran, G Prabhakar… - 2023 8th …, 2023 - ieeexplore.ieee.org
In recent years, the need for electricity for each home is rapidly increasing due to the number
of inventions in electric appliances and electric vehicles being so high. The fast-growing …

[HTML][HTML] A Novel Approach to Vehicular CO2 Emission Predictive Modelling

S Sahay, PM Pawar, DN Sonawane - International Journal of Open …, 2023 - cyberleninka.ru
Climate change today is a global crisis requiring grave concern to the extent that
governments worldwide have realized that if this problem is left unmitigated, catastrophic …

Performance Evaluation Of Machine Learning Algorithms For Rainfall Prediction Using Dimensionality Reduction Techniques

S Kumari, MO Raza, A Kumari - 2023 4th International …, 2023 - ieeexplore.ieee.org
In the last few decades, tremendous change is observed in rainfall patterns which are
majorly influenced by two major factors 1) climate change and 2) CO2 emission. Erratic …

Portable Engine Health Monitoring System based on Vehicle Emissions

R Sumathy, V Rajesh, MMVD Reddy… - 2023 2nd …, 2023 - ieeexplore.ieee.org
Pollution is a more concern in a revolutionized world. Air pollution has majorly caused by the
vehicle transportation. Vehicle is a major and significant producer of various hazardous …

Crowdsourcing and monetization as a strategy to reduce vehicular greenhouse gases emissions

W Melo, P Nascimento, K Gomes… - 2022 IEEE 96th …, 2022 - ieeexplore.ieee.org
This paper presents a strategy to estimate and control vehicular greenhouse emissions by
combining crowdsourcing and monetization. We assume that vehicle manufacturers must …

Edge computing device for real-time detection

X Fang, X Tang, Y Song, H Wu, H Shi… - … on Image, Signal …, 2024 - spiedigitallibrary.org
With the development of cities and the reduction of living spaces, indoor plants have always
been a popular choice for improving quality of life, purifying air, and increasing indoor …

Hybrid Modelling for Vehicle Lateral Dynamics Via Agru with a Dual-Attention Mechanism Under Limited Data

J CHEN, C YU, Y Wang, Z ZHOU, Z LIU - Available at SSRN 4716205 - papers.ssrn.com
Precise vehicle dynamics models are paramount for vehicle simulation and control.
However, the intricate parameter calibration process frequently presents a barrier to …

[PDF][PDF] Impact of Deep Learning in Analytics of Climate Change: A Survey

R Rohith, G Geetha - researchgate.net
The paper Impact of Deep Learning in the Analytics of Climate Change surveys the recent
advances and applications of deep learning methods for various climate change related …

[引用][C] Metodologia baseada em TinyML para Estimar as Emissoes de CO2: Uma Análise Comparativa entre Abastecimentos de veıculo com Etanol e Gasolina