Published June 27, 2025 | Version v4
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EV_Temp_Energy_Study

Authors/Creators

Description

This repository accompanies the study “Effects of ambient temperature on Electric Vehicle (EV) electricity consumption are reduced in a warming world” by Qingyang Wu & Yifang Zhu. It contains data files, model outputs, and a key Python script supporting the analyses presented in the publication. The repository includes: README.txt: File listing and describing the organization of output results. Figure 1–4 archives: Compressed files containing figure data and model results. EV_Stock_Grid_Downscaler.py: Python script providing the machine learning pipeline used to downscale national EV stock projections to grid-level estimates.

Files

README.txt

Files (6.8 GB)

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