A Deep Learning Micro-Scale Model to Estimate the CO₂ Emissions from Light-Duty Diesel Trucks Based on Real-World Driving

On-road carbon dioxide (CO₂) emissions from light-duty diesel trucks (LDDTs) are greatly affected by driving conditions, which may be better predicted with the sequence deep learning model as compared to traditional models. In this study, two typical LDDTs were selected to investigate the...

Повний опис

Бібліографічні деталі

Автори:	Rongshuo Zhang, Yange Wang, Yujie Pang, Bowen Zhang, Yangbing Wei, Menglei Wang, Rencheng Zhu
Формат:	Artigo
Мова:	Inglês
Опубліковано:	MDPI AG 2022-09-01
Серія:	Atmosphere
Предмети:	vehicle emission model deep learning light-duty diesel truck (LDDT) CO<sub>2</sub> emissions portable emission measurement system (PEMS) long short-term memory network (LSTM)
Онлайн доступ:	https://www.mdpi.com/2073-4433/13/9/1466
Теги:	Додати тег Немає тегів, Будьте першим, хто поставить тег для цього запису!