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Title:

CREAM: CoffeemakeR Electrical Activity Measurements

Document type:
Forschungsdaten
Publication date:
29.01.2020
Responsible:
Jorde, Daniel
Authors:
Jorde, Daniel; Kriechbaumer, Thomas; Berger, Tim; Jacobsen, Hans-Arno
Author affiliation:
TUM
Publisher:
TUM
Identifier:
doi:10.14459/2018mp1534850
End date of data production:
08.10.2018
Subject area:
DAT Datenverarbeitung, Informatik; ERG Energietechnik, Energiewirtschaft
Resource type:
Experimente und Beobachtungen / experiments and observations
Data type:
Datenbanken / data bases
Other data type:
HDF5 data models
Description:
The CREAM dataset: continuous voltage and current measurements at high sampling rates of an industry-grade coffeemaker, mimicking industrial processes. We provide the data sampled at 6.4 kSps and additional event information: 92449 expert-labeled component-level electrical events, 1476 machine-generated product events and 2868 machine-generated maintenance-related events.
Method of data assessment:
Measurements of voltage and current consumption, combined with machine-generated and expert-labeled events.
Key words:
energy consumption data; non-intrusive load monitoring; condition monitoring; predictive maintenance; appliance identification; industrial-like machinery
Technical remarks:
View and download (36.8 GB, 751 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1534850):
rsync rsync://m1534850@dataserv.ub.tum.de/m1534850/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
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