Global gridded scenarios of residential cooling energy demand to 2050

# ggACene (global gridded Air Conditioning energy) projections

## Output AC and AC electricity gridded data

This repository hosts output data for SSPs126, 245, 370 and 585 on the estimated and future projected ownership of residential air conditioning (% of households), the related energy consumption (TWh/yr.), and the underlying population counts (useful to quantify the per-capita average consumption or the headcount of people affected by the cooling gap).

### Input data and analysis replication

The repository also hosts input data to replicate the data generating process. A twin Github repository hosts code (https://github.com/giacfalk/ggACene) to run the model generating the ggACene (global gridded Air Conditioning energy) projections dataset.

## 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 repository
- 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

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