EV_Temp_Energy_Study

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.本仓库配套吴庆扬与朱一方发表的研究论文《气候变暖背景下环境温度对电动汽车（Electric Vehicle, EV）电力消耗的影响得以缓解》。 本数据集包含支撑该论文所述各项分析的数据文件、模型输出结果，以及核心Python脚本。 本仓库具体收录内容如下： - README.txt：用于列出并说明输出结果组织形式的说明文件； - 图1至图4归档文件：存储图表数据与模型结果的压缩文件； - EV_Stock_Grid_Downscaler.py：用于实现将全国电动汽车保有量预测结果降尺度至电网层面估算值的机器学习流程的Python脚本。