- BLOND-50 contains 213 days of measurements sampled at 50 kHz (aggregate) and 6.4 kHz (individual appliances).
- BLOND-250 consists of the same setup: 50 days, 250 kHz (aggregate), 50 kHz (individual appliances).
My name is Oliver Parson, and I'm currently employed as a Senior Data Scientist at Bulb. I'm interested in investigating the ways in which machine learning can be used to break down household energy consumption data into individual appliances, also known as Non-intrusive Appliance Load Monitoring (NILM) or energy disaggregation.
Tuesday 1 May 2018
BLOND office environment data set released
Thomas Kriechbaumer & Hans-Arno Jacobsen of The Technical University of Munich (TUM) recently released BLOND - a building-level office environment dataset of typical electrical appliances. The data set contains voltage and current readings for aggregated circuits and matching fully-labeled ground truth data (individual appliance measurements). The study covers 53 appliances (16 classes) in a 3-phase power grid in Germany. The authors have released two versions of the data set:
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