4 citations · 5 across the 2 of their papers we have counts for
2 papers
physics.ao-ph2024★ 1 cited
Reconstructing Global Daily CO2 Emissions via Machine Learning
Tao Li, Lixing Wang, Zihan Qiu +9
High temporal resolution CO2 emission data are crucial for understanding the drivers of emission changes, however, current emission dataset is only available on a yearly basis. Her…
cs.AI2023★ 4 cited
AutoPCF: Efficient Product Carbon Footprint Accounting with Large Language Models
Zhu Deng, Jinjie Liu, Biao Luo +5
The product carbon footprint (PCF) is crucial for decarbonizing the supply chain, as it measures the direct and indirect greenhouse gas emissions caused by all activities during th…