most citedGreenhouse gases emissions: estimating corporate non-reported emissions using interpretable machine learning

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2022★ 6 cited

Greenhouse gases emissions: estimating corporate non-reported emissions using interpretable machine learning

Jeremi Assael, Thibaut Heurtebize, Laurent Carlier +1

As of 2022, greenhouse gases (GHG) emissions reporting and auditing are not yet compulsory for all companies and methodologies of measurement and estimation are not unified. We pro…