MSCL-Attention: A Multi-Scale Convolutional Long Short-Term Memory (LSTM) Attention Network for Predicting CO2 Emissions from Vehicles

• Published in: Sustainability Vol. 16; no. 19; p. 8547
• Main Authors: Xie, Yi, Liu, Lizhuang, Han, Zhenqi, Zhang, Jialu
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2024
• Subjects: Air pollution; Datasets; Emissions; Energy consumption; Neural networks; China

The transportation industry is one of the major sources of energy consumption and CO2 emissions, and these emissions have been increasing year by year. Vehicle exhaust emissions have had serious impacts on air quality and global climate change, with CO2 emissions being one of the primary causes of g...