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Document type:
Forschungsdaten 
Responsible:
Jorde, Daniel 
Authors:
Jorde, Daniel; Kriechbaumer, Thomas; Berger, Tim; Jacobsen, Hans-Arno 
Author affiliation:
TUM 
Publisher:
TUM 
Title:
CREAM: CoffeemakeR Electrical Activity Measurements 
Time of 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)
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rsync rsync://m1534850@dataserv.ub.tum.de/m1534850/ 
Language:
en 
Rights:
by, http://creativecommons.org/licenses/by/4.0