Decoding the Spatial Drivers of Building Energy: A Neighborhood-Scale Perspective for Low-Carbon Urban Planning
收藏Figshare2026-03-04 更新2026-04-28 收录
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https://figshare.com/articles/dataset/_b_Decoding_the_Spatial_Drivers_of_Building_Energy_A_Neighborhood-Scale_Perspective_for_Low-Carbon_Urban_Planning_b_/31476997
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This is the SHAP analysis result on the 40 urban features to office energy demand. The file start with "B_stable" are the interpretable analysis on non-seasonal office energy demand, and the others are the interpretable analysis on seasonal demand. Those seasonal and non-seasonal trend are split by STL method. All prediction are fit by RandomForest models.
创建时间:
2026-03-04



