Data for: An effective methodology to quantify cooling demand in the UK housing stock

This repository contains the data shown in the figures in the paper ‘An effective methodology to quantify cooling demand in the UK housing stock’. The data is stored in CSV files, with the datetime index (created in Python) as the first column and the hourly thermal demand in the adjacent columns. Each header is the thermal efficiency dwelling code described in the paper. The compressed file (*.ZIP) of the data needs to be unzipped to obtain this folder.For more information on the datasets, please refer to the user manual provided along with the files.Please cite the following paper when using this data:L. Corcoran, P. Saikia, C. E. Ugalde-Loo, and M. Abeysekera, ‘An effective methodology to quantify cooling demand in the UK housing stock’, <i>Appl. Energy</i>, vol. 380, p. 125002, Feb. 2025, doi: 10.1016/j.apenergy.2024.125002.