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--- |
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license: cc-by-sa-4.0 |
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task_categories: |
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- time-series-forecasting |
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language: |
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- en |
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tags: |
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- energy |
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- smart-meter |
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- electricity |
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- buildings |
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- datasets |
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- croissant |
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size_categories: |
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- 10B<n<100B |
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config: |
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- config_name: Commercial-BDG-2-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/BDG-2/*.parquet |
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- config_name: Commercial-Berkely-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/Berkely/*.parquet |
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- config_name: Commercial-CLEMD-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/CLEMD/*.parquet |
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- config_name: Commercial-CU-BEMS-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/CU-BEMS/*.parquet |
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- config_name: Commercial-DGS-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/DGS/*.parquet |
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- config_name: Commercial-ECRG-Hourly |
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data_files: |
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- split: train |
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path: >- |
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Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/ECRG-Commercial/*.parquet |
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- config_name: Commercial-Enernoc-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/Enernoc/*.parquet |
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- config_name: Commercial-EWELD-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/EWELD/*.parquet |
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- config_name: Commercial-HB-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/HB/*.parquet |
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- config_name: Commercial-IBlend-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/IBlend/*.parquet |
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- config_name: Commercial-IOT-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/IOT/*.parquet |
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- config_name: Commercial-IPC-Hourly |
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data_files: |
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- split: train |
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path: >- |
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Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/IPC-Commercial/*.parquet |
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- config_name: Commercial-NEST-Hourly |
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data_files: |
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- split: train |
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path: >- |
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Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/NEST-Commercial/*.parquet |
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- config_name: Commercial-PSS-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/PSS/*.parquet |
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- config_name: Commercial-RKP-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/RKP/*.parquet |
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- config_name: Commercial-SEWA-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/SEWA/*.parquet |
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- config_name: Commercial-SKC-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/SKC/*.parquet |
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- config_name: Commercial-UCIE-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/UCIE/*.parquet |
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- config_name: Commercial-ULE-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/ULE/*.parquet |
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- config_name: Commercial-UNICON-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Commercial/UNICON/*.parquet |
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- config_name: PV-DLEP-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/PV/DLEP/*.parquet |
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- config_name: PV-HSG-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/PV/HSG/*.parquet |
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- config_name: PV-MYMG-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/PV/MYMG/*.parquet |
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- config_name: PV-SPV-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/PV/SPV/*.parquet |
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- config_name: PV-SWC-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/PV/SWC/*.parquet |
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- config_name: Wind-SDWPF-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Wind/SDWPF/*.parquet |
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- config_name: Wind-SWC-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Wind/SWC/*.parquet |
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- config_name: Residential-AMPD-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/AMPD/*.parquet |
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- config_name: Residential-BTS-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/BTS/*.parquet |
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- config_name: Residential-CEEW-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/CEEW/*.parquet |
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- config_name: Residential-DCB-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/DCB/*.parquet |
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- config_name: Residential-DEDDIAG-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/DEDDIAG/*.parquet |
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- config_name: Residential-DESM-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/DESM/*.parquet |
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- config_name: Residential-DTH-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/DTH/*.parquet |
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- config_name: Residential-ECCC-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/ECCC/*.parquet |
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- config_name: Residential-ECRG-Hourly |
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data_files: |
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- split: train |
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path: >- |
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Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/ECRG-Residential/*.parquet |
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- config_name: Residential-ECWM-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/ECWM/*.parquet |
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- config_name: Residential-ENERTALK-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/ENERTALK/*.parquet |
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- config_name: Residential-fIEECe-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/fIEECe/*.parquet |
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- config_name: Residential-GoiEner-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/GoiEner/*.parquet |
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- config_name: Residential-GREEND-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/GREEND/*.parquet |
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- config_name: Residential-HES-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/HES/*.parquet |
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- config_name: Residential-HONDA-Smart-Home-Hourly |
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data_files: |
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- split: train |
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path: >- |
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Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/HONDA-Smart-Home/*.parquet |
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- config_name: Residential-HSG-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/HSG/*.parquet |
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- config_name: Residential-HUE-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/HUE/*.parquet |
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- config_name: Residential-iFlex-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/iFlex/*.parquet |
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- config_name: Residential-IHEPC-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/IHEPC/*.parquet |
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- config_name: Residential-IPC-Hourly |
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data_files: |
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- split: train |
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path: >- |
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Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/IPC-Residential/*.parquet |
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- config_name: Residential-IRH-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/IRH/*.parquet |
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- config_name: Residential-LCL-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/LCL/*.parquet |
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- config_name: Residential-LEC-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/LEC/*.parquet |
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- config_name: Residential-METER-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/METER/*.parquet |
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- config_name: Residential-MFRED-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/MFRED/*.parquet |
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- config_name: Residential-MIHEC-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/MIHEC/*.parquet |
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- config_name: Residential-NDB-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/NDB/*.parquet |
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- config_name: Residential-NEEA-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/NEEA/*.parquet |
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- config_name: Residential-NESEMP-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/NESEMP/*.parquet |
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- config_name: Residential-NEST-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/NEST/*.parquet |
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- config_name: Residential-Norwegian-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/Norwegian/*.parquet |
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- config_name: Residential-PES-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/PES/*.parquet |
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- config_name: Residential-Plegma-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/Plegma/*.parquet |
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- config_name: Residential-Prayas-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/Prayas/*.parquet |
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- config_name: Residential-REED-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/REED/*.parquet |
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- config_name: Residential-REFIT-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/REFIT/*.parquet |
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- config_name: Residential-RHC-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/RHC/*.parquet |
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- config_name: Residential-RSL-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/RSL/*.parquet |
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- config_name: Residential-SAVE-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/SAVE/*.parquet |
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- config_name: Residential-SFAC-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/SFAC/*.parquet |
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- config_name: Residential-SGSC-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/SGSC/*.parquet |
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- config_name: Residential-SMART-Star-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/SMART-Star/*.parquet |
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- config_name: Residential-SRSA-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/SRSA/*.parquet |
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- config_name: Residential-UKST-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/UKST/*.parquet |
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- config_name: Residential-WED-Hourly |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/Hourly/Residential/WED/*.parquet |
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- config_name: Commercial-PSS-30min |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/30min/Commercial/PSS/*.parquet |
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- config_name: Residential-LCL-30min |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/30min/Residential/LCL/*.parquet |
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- config_name: Residential-METER-30min |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/30min/Residential/METER/*.parquet |
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- config_name: Residential-SGSC-30min |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/30min/Residential/SGSC/*.parquet |
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- config_name: Residential-UKST-30min |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/30min/Residential/UKST/*.parquet |
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- config_name: Commercial-Berkely-15min |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/15min/Commercial/Berkely/*.parquet |
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- config_name: Commercial-CLEMD-15min |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/15min/Commercial/CLEMD/*.parquet |
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- config_name: Commercial-CU-BEMS-15min |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/15min/Commercial/CU-BEMS/*.parquet |
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- config_name: Commercial-DGS-15min |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/15min/Commercial/DGS/*.parquet |
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- config_name: Commercial-ECRG-15min |
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data_files: |
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- split: train |
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|
path: >- |
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Dataset_V0.0/Energy-Load-Profiles/15min/Commercial/ECRG-Commercial/*.parquet |
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- config_name: Commercial-Enernoc-15min |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/15min/Commercial/Enernoc/*.parquet |
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- config_name: Commercial-EWELD-15min |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/15min/Commercial/EWELD/*.parquet |
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- config_name: Commercial-IBlend-15min |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/15min/Commercial/IBlend/*.parquet |
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- config_name: Commercial-NEST-15min |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/15min/Commercial/NEST/*.parquet |
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- config_name: Commercial-RKP-15min |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/15min/Commercial/RKP/*.parquet |
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- config_name: Commercial-SKC-15min |
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data_files: |
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- split: train |
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path: Dataset_V0.0/Energy-Load-Profiles/15min/Commercial/SKC/*.parquet |
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- config_name: Commercial-UCIE-15min |
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data_files: |
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- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Commercial/UCIE/*.parquet |
|
|
- config_name: Commercial-UNICON-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Commercial/UNICON/*.parquet |
|
|
- config_name: PV-HSG-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/PV/HSG/*.parquet |
|
|
- config_name: PV-SDWPF-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/PV/SDWPF/*.parquet |
|
|
- config_name: PV-SPV-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/PV/SPV/*.parquet |
|
|
- config_name: PV-SWC-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/PV/SWC/*.parquet |
|
|
- config_name: Wind-SWC-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Wind/SWC/*.parquet |
|
|
- config_name: Residential-AMPD-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/AMPD/*.parquet |
|
|
- config_name: Residential-BTS-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/BTS/*.parquet |
|
|
- config_name: Residential-CEEW-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/CEEW/*.parquet |
|
|
- config_name: Residential-DEDDIAG-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/DEDDIAG/*.parquet |
|
|
- config_name: Residential-DESM-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/DESM/*.parquet |
|
|
- config_name: Residential-DTH-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/DTH/*.parquet |
|
|
- config_name: Residential-ECCC-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/ECCC/*.parquet |
|
|
- config_name: Residential-ECRG-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: >- |
|
|
Dataset_V0.0/Energy-Load-Profiles/15min/Residential/ECRG-Residential/*.parquet |
|
|
- config_name: Residential-ENERTALK-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/ENERTALK/*.parquet |
|
|
- config_name: Residential-GREEND-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/GREEND/*.parquet |
|
|
- config_name: Residential-HONDA-Smart-Home-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: >- |
|
|
Dataset_V0.0/Energy-Load-Profiles/15min/Residential/HONDA-Smart-Home/*.parquet |
|
|
- config_name: Residential-HSG-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/HSG/*.parquet |
|
|
- config_name: Residential-IHEPC-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/IHEPC/*.parquet |
|
|
- config_name: Residential-IRH-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/IRH/*.parquet |
|
|
- config_name: Residential-LEC-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/LEC/*.parquet |
|
|
- config_name: Residential-MFRED-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/MFRED/*.parquet |
|
|
- config_name: Residential-NDB-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/NDB/*.parquet |
|
|
- config_name: Residential-NEEA-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/NEEA/*.parquet |
|
|
- config_name: Residential-NESEMP-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/NESEMP/*.parquet |
|
|
- config_name: Residential-NEST-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/NEST/*.parquet |
|
|
- config_name: Residential-PES-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/PES/*.parquet |
|
|
- config_name: Residential-PLEGMA-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/PLEGMA/*.parquet |
|
|
- config_name: Residential-Parayas-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/Prayas/*.parquet |
|
|
- config_name: Residential-REED-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/REED/*.parquet |
|
|
- config_name: Residential-REFIT-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/REFIT/*.parquet |
|
|
- config_name: Residential-RHC-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/RHC/*.parquet |
|
|
- config_name: Residential-RSL-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/RSL/*.parquet |
|
|
- config_name: Residential-SAVE-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/SAVE/*.parquet |
|
|
- config_name: Residential-SFAC-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/SFAC/*.parquet |
|
|
- config_name: Residential-SMART-Start-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/SMART-Start/*.parquet |
|
|
- config_name: Residential-WED-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Energy-Load-Profiles/15min/Residential/WED/*.parquet |
|
|
- config_name: metadata |
|
|
data_files: |
|
|
- split: train |
|
|
path: |
|
|
- Dataset_V0.0/metadata/Metadata-datasets.csv |
|
|
- Dataset_V0.0/metadata/missing/*.csv |
|
|
- config_name: Synthetic-SynD-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Synthetic-Energy-Load-Profiles/15min/SynD/*.parquet |
|
|
- config_name: Synthetic-Buildings-900K-Commercial-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Synthetic-Energy-Load-Profiles/15min/Buildings-900K/comstock_amy2018_release_2/*/*.parquet |
|
|
- config_name: Synthetic-Buildings-900K-Residential-15min |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Synthetic-Energy-Load-Profiles/15min/Buildings-900K/resstock_amy2018_release_2/*/*.parquet |
|
|
- config_name: Synthetic-SDG-Hourly |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Synthetic-Energy-Load-Profiles/Hourly/SDG/*.parquet |
|
|
- config_name: Synthetic-SynD-Hourly |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Synthetic-Energy-Load-Profiles/Hourly/SynD/*.parquet |
|
|
- config_name: Synthetic-Buildings-900K-Commercial-Hourly |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Synthetic-Energy-Load-Profiles/Hourly/Buildings-900K/comstock_amy2018_release_2/*/*.parquet |
|
|
- config_name: Synthetic-Buildings-900K-Residential-Hourly |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Synthetic-Energy-Load-Profiles/Hourly/Buildings-900K/resstock_amy2018_release_2/*/*.parquet |
|
|
- config_name: Synthetic-HRSA-Residential-Hourly |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dataset_V0.0/Synthetic-Energy-Load-Profiles/Hourly/HRSA/*/*.parquet |
|
|
--- |
|
|
|
|
|
|
|
|
# EnergyBench Dataset |
|
|
|
|
|
## Overview |
|
|
|
|
|
A open-source large-scale energy meter dataset designed to support a variety of energy analytics applications, including load profile analysis, and load forecasting. |
|
|
It compiles over 60 detailed electricity consumption datasets encompassing approximately **78,037** real buildings representing the global building stock, offering insights into the temporal and spatial variations in energy consumption. |
|
|
The buildings are classified into two categories: **Commercial**, which includes **2,916** buildings, and **Residential**, which includes **75,121** buildings, with a total of 65,000 building-days of time-series data. |
|
|
These buildings span diverse geographies, climatic zones, and operational profiles, providing a broad spectrum of usage patterns. Additional to the real buildings, it also |
|
|
includes synthetic and simulated buildings electricity consumption data. |
|
|
|
|
|
All processed datasets contain hourly data, with some offering additional 15-minute and 30-minute resolution. To ensure efficient storage, we saved the datasets in Parquet format rather than CSV. |
|
|
For datasets involving a large number of buildings, we partitioned the data into multiple Parquet files. |
|
|
|
|
|
Metadata of each datasets are provided in [metadata](https://huggingface.co/datasets/ai-iot/EnergyBench/tree/main/Dataset_V0.0/metadata). |
|
|
|
|
|
Table 1: Summary of EnergBench dataset (Real Buildings) |
|
|
| **Category** | **# Datasets** | **# Buildings** | **# Days** | **# Hourly Obs** | |
|
|
|-------------|-------------|--------------|---------|--------| |
|
|
| Commercial | 20 | 2,916 | 16,706 | 62M | |
|
|
| Residential | 47 | 75,121 | 43,852 | 1.2B | |
|
|
|
|
|
|
|
|
Table 2: Summary of EnergBench dataset (Synthetic and Simulated Buildings) |
|
|
| **Category** | **# Datasets** | **# Buildings** | **# Days** | **# Hourly Obs** | |
|
|
|-------------|-------------|--------------|---------|--------| |
|
|
| Commercial | 1 | 207,559 | 365 | ~1.7B | |
|
|
| Residential | 4 | 31M | 966 | ~718.7B | |
|
|
|
|
|
## Dataset Details |
|
|
|
|
|
Below tables shows the summary of the real buildings |
|
|
|
|
|
Table 3: Details of real commercial buildings |
|
|
| **Dataset** | **Location** | **# Buildings**| **Year** | **# Days** | **# Hourly Obs** | **Unit** | **Resolution** | **Type** | **Metadata** | **Weather Data** | |
|
|
|----------------------------------------------------------|----------------|--------------|---------|---------|---------------|------|------------|----------|----------|----------| |
|
|
| IBlend | India | 9 | 2013-17 | 1,604 | 296,357 | kW | 15min, 1H | Mains | Building type (Office, Hostels) can be extracted. | NA | |
|
|
| CLEMD | Malaysia | 1 | 2023-23 | 34 | 706 | kW | 15min, 1H | Mains | NA | NA | |
|
|
| CU-BEMS | Thailand | 1 | 2018-19 | 548 | 1,504,058 | kW | 15min, 1H | Circuits | NA | NA | |
|
|
| IPC-Commercial | China | 3 | 2016-21 | 2,191 | 132,519 | kW | 1H | Mains | NA | Available | |
|
|
| EWELD | Southern China | 386 | 2016-22 | 2,260 | 13,730,258 | kWh | 15min,1H | Mains | Industry type can be extracted. | NA | |
|
|
| SKC | South Korea | 10 | 2019 | 213 | 50,708 | kW | 15min, 1H | Mains | NA | NA | |
|
|
| IOT | Sharjah | 1 | 2024 | 171 | 2,163 | kWh | 1H | Circuits | NA | Available | |
|
|
| SEWA | UAE | 1 | 2020-21 | 730 | 17,489 | kW | 1H | Mains | NA | Available | |
|
|
| PSS | South Africa | 53 | 2022-23 | 364 | 454,774 | kWh | 30min, 1H | Mains | NA | NA | |
|
|
| Enernoc | USA | 100 | 2012-13 | 366 | 877,728 | kWh | 15min, 1H | Mains | Given - Industry type, Sub-industry type, Sq-ft, Lat-Long, Timezone and Timezone offset. | NA | |
|
|
| DGS | USA | 322 | 2016-18 | 1,064 | 5,333,851 | NA | 15min, 1H | Mains | Given - Status (Active/Deactive), Address, Cost per square foot, Description of Building. | NA | |
|
|
| Berkely | USA | 1 | 2018-21 | 1,096 | 126,159 | kW | 15min, 1H | Circuits | Given - Appliance belonging to building wings (North, South). | NA | |
|
|
| HB | Phoenix, USA | 1 | 2023 | 364 | 87,600 | kWh | 1H | Circuits | NA | NA | |
|
|
| BDG-2 | USA | 1,578 | 2016-17 | 730 | 25,212,579 | kWh | 1H | Mains | Given - Sq-m, Sq-ft, Lat, Long. Building-type, County can be extracted. | NA | |
|
|
| ULE | Cambridge | 1 | 2023-24 | 365 | 8,783 | kWh | 1H | Mains | NA | Available | |
|
|
| ECRG-Commercial | Poland | 10 | 2,017 | 7 | 1,690 | kW | 15min, 1H | Mains | NA | Available | |
|
|
| RKP | Portugal | 3 | 2019 | 98 | 1,319 | kW | 15min, 1H | Mains | NA | NA | |
|
|
| UCIE | Portugal | 370 | 2011-15 | 1,461 | 12,974,050 | kWh | 15min, 1H | Mains | NA | NA | |
|
|
| NEST-Commercial | Switzerland | 1 | 2019-23 | 1,460 | 34,798 | kW | 15min, 1H | Mains | Given - Description of Building. | NA | |
|
|
| UNICON | Australia | 64 | 2018-22 | 1,580 | 2,066,301 | kW | 15min, 1H | Mains | Given category of each building id like: library,teaching,office,sport,mixed use,residence,other and given built year of each building, capicity,grass floor area, room area | Available | |
|
|
| **Total** | | 2,916 | | 16,706 | 62M | | | | | | |
|
|
|
|
|
Table 4: Details of real residential buildings |
|
|
| **Dataset** | **Location** | **# Buildings** | **Year** | **# Days** | **# Hourly Obs** | **Unit** | **Resolution** | **Type** | **Metadata** | **Weather Data** | |
|
|
|------------------------------------------------------------------------------|------------------|--------------|---------|---------|---------------|------|------------|----------|----------|----------| |
|
|
| Prayas | India | 116 | 2018-20 | 911 | 1,536,409 | kWh | 15min, 1H | Mains | Given - Region, Household type, Deployment type. | NA | |
|
|
| CEEW | India | 84 | 2019-21 | 914 | 923,897 | kWh | 15min, 1H | Mains | Region of households can be extracted. | NA | |
|
|
| RSL | Sri Lanka | 2,903 | 2023-24 | 449 | 11,372,970 | kW | 15min, 1H | Mains | Given - Demographic data of households. | NA | |
|
|
| IPC-Residential | China | 1 | 2016-21 | 2,191 | 45,471 | kW | 1H | Mains | NA | Available | |
|
|
| SFAC | China | 1 | 2021-22 | 366 | 115,857 | kWh | 15min, 1H | Circuits | NA | Available | |
|
|
| ENERTALK | South Korea | 22 | 2016-17 | 242 | 39,923 | kW | 15min, 1H | Mains | NA | NA | |
|
|
| DCB | Japan | 1 | 2002-22 | 7,457 | 187,008 | kW | 1H | Mains | NA | Available | |
|
|
| SRSA | South Africa | 1 | 2016-18 | 662 | 13,966 | kWh | 1H | Mains | NA | NA | |
|
|
| MIHEC | South Africa | 1 | 2019-21 | 1,013 | 19,358 | kWh | 1H | Mains | NA | Available | |
|
|
| AMPD | Canada | 1 | 2012-14 | 730 | 17,520 | kW | 15min, 1H | Mains | NA | NA | |
|
|
| RHC | Canada | 1 | 2012-14 | 730 | 17,520 | kWh | 15min, 1H | Mains | NA | Available | |
|
|
| HUE | British Columbia | 28 | 2012-20 | 2,910 | 610,949 | kWh | 1H | Mains | Given - Housetype, Facing. | NA | |
|
|
| flEECe | USA | 6 | 2017-18 | 259 | 74,492 | kWh | 1H | Mains | Given - Province, Muncipality of Buildings. | NA | |
|
|
| MFRED | USA | 26 | 2019-20 | 365 | 227,622 | kW | 15min, 1H | Mains | NA | NA | |
|
|
| SMART-Star | USA | 114 | 2014-16 | 867 | 958,998 | kW | 15min, 1H | Mains | NA | Available | |
|
|
| Honda SMART Home | USA | 1 | 2020 | 365 | 8,760 | kW | 15min, 1H | Mains | NA | NA | |
|
|
| PES | USA, Europe | 10 | 2011-14 | 971 | 13,508 | kWh | 15min, 1H | Mains | NA | NA | |
|
|
| ECWM | Mexico | 1 | 2022-24 | 426 | 10,184 | kW | 1H | Mains | NA | Available | |
|
|
| WED | Mexico | 5 | 2022-23 | 378 | 45,096 | kWh | 15min, 1H | Mains | NA | Available | |
|
|
| REEDD | Costa Rica | 46 | 2018-19 | 384 | 12,058 | kW | 15min, 1H | Circuits | NA | NA | |
|
|
| REFIT | UK | 20 | 2013-15 | 661 | 231,970 | kW | 15min, 1H | Circuits | Given - Company of appliances. | NA | |
|
|
| METER | UK | 311 | 2016-19 | 1,065 | 8,928 | kW | 30min, 1H | Mains | NA | NA | |
|
|
| SAVE | UK | 4,691 | 2016-18 | 904 | 59,918,911 | kWh | 15min, 1H | Mains | NA | NA | |
|
|
| HES | UK | 16 | 2010-11 | 455 | 115,824 | kWh | 1H | Mains | NA | NA | |
|
|
| NDB | UK | 1 | 2022 | 229 | 3,282 | kW | 15min, 1H | Circuits | NA | NA | |
|
|
| LCL | UK | 5,561 | 2011-14 | 828 | 83,925,571 | kWh | 30min, 1H | Mains | NA | NA | |
|
|
| UKST | Great Britain | 14,319 | 2008-10 | 996 | 207,579,283 | kWh | 30min, 1H | Mains | NA | NA | |
|
|
| IRH | Ireland | 20 | 2020-21 | 366 | 174,398 | kW | 15min, 1H | Mains | NA | Available | |
|
|
| DESM | France | 3 | 2020-21 | 365 | 24,018 | kW | 15min, 1H | Mains | NA | Available | |
|
|
| IHEPC | Sceaux | 1 | 2006-10 | 1,441 | 34,168 | kW | 15min, 1H | Mains | NA | NA | |
|
|
| NEEA | Portland | 410 | 2018-20 | 855 | 2,922,289 | kW | 15min, 1H | Mains | Given - State of buildings. | Available | |
|
|
| GoiEner | Spain | 25,559 | 2014-22 | 2,775 | 632,313,933 | kWh | 1H | Mains | NA | NA | |
|
|
| Plegma | Greece | 13 | 2022-23 | 446 | 83,452 | kW | 15min, 1H | Mains | Given - Sociodemographic of houses. | Available | |
|
|
| DEDDIAG | Germany | 15 | 2016-20 | 1582 | 732,597 | kW | 15min, 1H | Circuits | Given - Descriptions of Appliances (Name, Category). | NA | |
|
|
| HSG | Germany | 11 | 2014-19 | 1602 | 220,775 | kWh | 15min, 1H | Mains | NA | NA | |
|
|
| SFHG | Germany | 38 | 2019-20 | 730 | 769,247 | kW | 1H | Mains | NA | NA | |
|
|
| GREEND | Italy, Austria | 7 | 2013-15 | 570 | 489,644 | kWh | 15min, 1H | Circuits | NA | NA | |
|
|
| iFlex | Norway | 4,429 | 2020-21 | 445 | 13,515,600 | kWh | 1H | Mains | NA | Available | |
|
|
| Norwegian | Norway | 1,136 | 2020-22 | 546 | 14,913,408 | kWh | 1H | Mains | Given - Region. | | |
|
|
| LEC | Portugal | 172 | 2022-23 | 485 | 1,507,699 | kWh | 15min, 1H | Mains | NA | Available | |
|
|
| ECCC | Portugal | 51 | 2019-20 | 365 | 447,984 | kW | 15min, 1H | Mains | NA | Available | |
|
|
| ECRG-Residential | Poland | 15 | 2017 | 7 | 2,535 | kW | 15min, 1H | Mains | NA | Available | |
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| NESEMP | Scotland | 215 | 2010-12 | 720 | 1,575,682 | kW | 15min, 1H | Mains | NA | NA | |
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| NEST-Residential | Switzerland | 2 | 2019-23 | 1,460 | 34715 | kW | 15min, 1H | Mains | Given - Description of Buildings. | NA | |
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| DTH | Slovak Republic | 1,000 | 2016-17 | 395 | 9,453,051 | kWh | 15min, 1H | Mains | Given - ZIP. | NA | |
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| SGSC | Australia | 13,735 | 2011-14 | 880 | 172,277,213 | kWh | 30min, 1H | Mains | Given - Customer type. | NA | |
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| BTS | Australia | 1 | 2021 | 89 | 443,208 | kW | 15min, 1H | Circuits | NA | NA | |
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| **Total** | | 75,121 | | 43,852 | 1.2B | | | | | | |
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## License |
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EnergyBench dataset is available for download with permissive CC-4.0 license. |
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