Master data

Title: Autonomous Load Disaggregation Approach based on Active Power Measurements
Description:

With the help of smart metering valuable information of the appliance usage can be retrieved. In detail, non-intrusive load monitoring (NILM), also called load disaggregation, tries to identify appliances in the power draw of anhousehold. In this paper an unsupervised load disaggregation approach is proposed that works without a priori knowledge aboutappliances. The proposed algorithm works autonomously in realtime. The number of used appliances and the correspondingappliance models are learned in operation and are progressivelyupdated. The proposed algorithm is considering each useful andsuitable detected power state. The algorithm tries to detect powerstates corresponding to on/off appliances as well as to multi-stateappliances based on active power measurements in 1s resolution.We evaluated the novel introduced load disaggregation approachon real world data by testing the possibility to disaggregateenergy demand on appliance level.

Keywords:
Type: Invited speaker
Homepage: -
Event: First IEEE Workshop on Pervasive Energy Services (PerEnergy) (St.Louis)
Date: 23.03.2015
lecture status:

Participants

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Vernetzte und Eingebettete Systeme
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Austria
  -993640
   kornelia.lienbacher@aau.at
https://nes.aau.at/
To organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation

Subject areas
  • 211909 - Energy technology
  • 202022 - Information technology
Research Cluster
  • Energy management and technology
Focus of lecture
  • Science to Science (Quality indicator: II)
Classification raster of the assigned organisational units:
Group of participants
  • Mainly international
Published?
  • Yes
Keynote speaker
  • No
working groups No working group selected

Cooperations

No partner organisations selected