├── .gitignore ├── Apply model.ipynb ├── CBECSLib.py ├── Create CBECS datasets.ipynb ├── Feature importances.ipynb ├── Generate MFBTU distributions per PBA.ipynb ├── Generate dummy data.ipynb ├── NYC - Data centroids.ipynb ├── NYC - Run experiments.ipynb ├── NYC - Validation.ipynb ├── NYC - Write joined PLUTO-LL84 dataset.ipynb ├── README.md ├── Run experiments.ipynb ├── Train models on CBECS.ipynb ├── Variable tables.ipynb └── data ├── cbecs ├── 2012_microdata_codebook.csv ├── 2012_microdata_codebook.xlsx └── 2012_public_use_data_aug2016.csv ├── hdd_cdd_2015.csv ├── nyc ├── NYC_PropertyType_PBA_mapping.csv └── nyc_benchmarking_disclosure_data_reported_in_2016.csv └── shapefiles ├── Model_Traffic_Analysis_Zones_2000.cpg ├── Model_Traffic_Analysis_Zones_2000.dbf ├── Model_Traffic_Analysis_Zones_2000.prj ├── Model_Traffic_Analysis_Zones_2000.shp ├── Model_Traffic_Analysis_Zones_2000.shx ├── Model_Traffic_Analysis_Zones_2010.cpg ├── Model_Traffic_Analysis_Zones_2010.dbf ├── Model_Traffic_Analysis_Zones_2010.prj ├── Model_Traffic_Analysis_Zones_2010.shp ├── Model_Traffic_Analysis_Zones_2010.shx ├── cb_2015_us_county_500k.cpg ├── cb_2015_us_county_500k.dbf ├── cb_2015_us_county_500k.prj ├── cb_2015_us_county_500k.shp └── cb_2015_us_county_500k.shx /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/SEI-ENERGY/Commercial-Energy/HEAD/.gitignore -------------------------------------------------------------------------------- /Apply model.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/SEI-ENERGY/Commercial-Energy/HEAD/Apply model.ipynb -------------------------------------------------------------------------------- /CBECSLib.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/SEI-ENERGY/Commercial-Energy/HEAD/CBECSLib.py 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