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carbonpredict
View on CRAN: Click
here
Download and install carbonpredict package within the R console
Install from CRAN:
install.packages("carbonpredict")
Install from Github:
library("remotes")
install_github("cran/carbonpredict") Install by package version:
library("remotes")
install_version("carbonpredict", "2.0.0") Attach the package and use:
library("carbonpredict")
Maintained by
Hamza Suleman
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-14
Latest Update: 2025-10-14
Description:
Predict Scope 1, 2 and 3 carbon emissions for UK Small and Medium-sized Enterprises (SMEs), using Standard Industrial Classification (SIC) codes and annual turnover data. The 'carbonpredict' package provides single and batch prediction, plotting, and workflow tools for carbon accounting and reporting. The package utilises pre-trained models, leveraging rich classified transaction data to accurately predict Scope 1, 2 and 3 carbon emissions for UK SMEs as well as identifying emissions hotspots. The methodology used to produce the estimates in this package is fully detailed in the following peer-reviewed publication in the Journal of Industrial Ecology: Phillpotts, A., Owen. A., Norman, J., Trendl, A.,Gathergood, J., Jobst, Norbert., Leake, D. (2025) <doi:10.1111/jiec.70106> "Bridging the SME Reporting Gap: A New Model for Predicting Scope 1 and 2 Emissions".
How to cite:
Hamza Suleman (2025). carbonpredict: Predict Carbon Emissions for UK SMEs. R package version 2.0.0, https://cran.r-project.org/web/packages/carbonpredict. Accessed 04 Jun. 2026.
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