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

ORCID iDs

Mollel, Rachel Stephen ORCID: https://orcid.org/0000-0001-8591-9830

Stankovic, Lina ORCID: https://orcid.org/0000-0002-8112-1976

Stankovic, Vladimir ORCID: https://orcid.org/0000-0002-1075-2420

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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:	18 Nov 2024 01:25
  Related URLs:	Event
  URI:	https://strathprints.strath.ac.uk/id/eprint/87960