Using explainability tools to inform non-intrusive load monitoring algorithm performance : a decision tree approach

Mollel, Rachel Stephen and Stankovic, Lina and Stankovic, Vladimir (2022) Using explainability tools to inform non-intrusive load monitoring algorithm performance : a decision tree approach. In: Supergen Energy Networks Hub Conference, 2022-11-23 - 2022-11-24, St Davids Hotel, Cardiff Bay.

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Abstract

Non-Intrusive Load Monitoring (NILM) is a method of estimating electrical energy consumption and operation condition of individual appliances by observing the total aggregated power measurements from the smart meter with granularity of 10s to 30 mins

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• Item metadata

  Item type:	Conference or Workshop Item(Poster)
  ID code:	87960
  Dates:	Date Event 24 November 2022 Published
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering > Electrical apparatus and materials > Electric networks
  Department:	Faculty of Engineering > Electronic and Electrical Engineering
  Depositing user:	Pure Administrator
  Date deposited:	29 Jan 2024 12:48
  Last modified:	25 Apr 2024 01:50
  Related URLs:	Event
  URI:	https://strathprints.strath.ac.uk/id/eprint/87960