/ggACene

This repository hosts code and data to reproduce the model generating the ggACene (global gridded Air Conditioning energy) projections dataset.

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ggACene (global gridded Air Conditioning energy) projections

framework (2)

This repository contains computer code (in the R programming language) to replicate the ggACene (global gridded Air Conditioning energy) projections dataset, including preparing data, training models, and obtaining gridded projections. For queries: giacomo.falchetta@cmcc.it

Input data and analysis replication

Instructions

To reproduce the model and generate the dataset from scratch, please refer to the following steps:

  • Download input data "replication_package_input_data.7z" by cloning the following Zenodo data repository https://doi.org/10.5281/zenodo.12697821
  • Decompress the folder using 7-Zip (https://www.7-zip.org/download.html)
  • Open RStudio and adjust the path folder in the sourcer.R script
  • Run the sourcer.R script to train the ML model, make projections, and represent result files

Figures replication package

Moreover, the source_code_data_replication_figures.zip archive (hosted on the Zenodo data repository) contains an R script and processed input data to replicate all the figures contained in the manuscript.

Reference

Falchetta, G., De Cian, E., Pavanello, F., & Wing, I. S. Inequalities in global residential cooling energy use to 2050. Nature Communications