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Verantwortlich:
Kriechbaumer, Thomas 
Autorinnen / Autoren:
Kriechbaumer, Thomas ; Jacobsen, Hans-Arno 
Institutionszugehörigkeit:
TUM 
Herausgeber:
TUM 
Titel:
BLOND: Building-Level Office eNvironment Dataset 
Zeit der Erzeugung:
30.06.2017 
Fachgebiet:
DAT Datenverarbeitung, Informatik; ERG Energietechnik, Energiewirtschaft 
zusätzliche Fachgebiete:
non-intrusive load monitoring 
Quellen der Daten:
Experimente und Beobachtungen / experiments and observations 
Andere Quellen der Daten:
measurements of electricity signals in a real-world environment 
Datentyp:
Datenbanken / data bases 
Anderer Datentyp:
HDF5 data models 
Methode der Datenerhebung:
Measurements of voltage and current signals of mains circuits with aggregated and ground truth data 
Beschreibung:
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...    »
 
Schlagworte:
energy consumption data; smart grid; smart meters; non-intrusive appliance load monitoring; NILM 
Technische Hinweise:
View and download (38.7 TB total, 945,919 files)
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The data server also offers downloads with rsync (password m1375836):
rsync rsync://m1375836@138.246.224.34/m1375836/ 
Sprache:
en 
Rechte:
by, http://creativecommons.org/licenses/by/4.0