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 type: Conference or Workshop Item(Poster) ID code: 87960 Dates: DateEvent24 November 2022PublishedSubjects: 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: 10 May 2024 00:31 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/87960
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