Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 10
Articles | Volume 18, issue 10
https://doi.org/10.5194/essd-18-7417-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-7417-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 10
Data description article
 | 
09 Oct 2026
Data description article |  | 09 Oct 2026

A global base temperature dataset for residential building energy demand modelling

Xiujuan He, Jiyong Eom, Sha Yu, Shu Liu, Wenru Xu, and Yuyu Zhou

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Short summary
Buildings use large amounts of energy for heating and cooling. Cutting carbon emissions requires accurate forecasts of that demand, which depends on knowing the outdoor temperature at which buildings switch on heating or cooling. We combined energy use records with climate information and applied machine learning to create the first global dataset of these thresholds across many regions. It improves energy demand predictions by about 10 %, supporting smarter energy planning and climate policy.
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