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- Title:
BLOND: Building-Level Office eNvironment Dataset
- Document type:
- Forschungsdaten
- Publication date:
- 25.08.2017
- Responsible:
- Kriechbaumer, Thomas
- Authors:
- Kriechbaumer, Thomas ; Jacobsen, Hans-Arno
- Author affiliation:
- TUM
- Publisher:
- TUM
- Identifier:
- doi:10.14459/2017mp1375836
- End date of data production:
- 30.06.2017
- Subject area:
- DAT Datenverarbeitung, Informatik; ERG Energietechnik, Energiewirtschaft
- Other subject areas:
- non-intrusive load monitoring
- Resource type:
- Experimente und Beobachtungen / experiments and observations
- Other resource types:
- measurements of electricity signals in a real-world environment
- Data type:
- Datenbanken / data bases
- Other data type:
- HDF5 data models
- Description:
- The BLOND dataset: continuous energy measurements of a typical office environment at high sampling rates with common appliances and load profiles. We provide voltage and current readings for aggregated circuits and matching fully-labeled ground truth data (individual appliance measurements). The dataset contains 53 appliances (17 classes) in a 3-phase power grid. BLOND-50 contains 213 days of uninterrupted measurements sampled at 50 kSps (aggregate) and 6.4kSps (individual appliances). BLOND-250... »
- Method of data assessment:
- Measurements of voltage and current signals of mains circuits with aggregated and ground truth data
- Links:
- This dataset is related to the publication https://doi.org/10.1038/sdata.2018.48
- Key words:
- energy consumption data; smart grid; smart meters; non-intrusive appliance load monitoring; NILM
- Technical remarks:
- View and download (38.7 TB total, 945,919 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1375836):
rsync rsync://m1375836@dataserv.ub.tum.de/m1375836/ - Language:
- en
- Rights:
- by, http://creativecommons.org/licenses/by/4.0
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