Investigating the performance gap between testing on real and denoised aggregates in non-intrusive load monitoring

Investigating the performance gap between testing on real and denoised aggregates in non-intrusive load monitoring

Abstract Prudent and meaningful performance evaluation of algorithms is essential for the progression of any research field. In the field of Non-Intrusive Load Monitoring (NILM), performance evaluation can be conducted on real-world aggregate signals, provided by smart energy meters or artificial su...

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Bibliographic Details
Main Authors: Christoph Klemenjak, Stephen Makonin, Wilfried Elmenreich
Format: Article
Language:English
Published: SpringerOpen 2021-03-01
Series:Energy Informatics
Subjects:
Load disaggregation
Non-intrusive load monitoring
Denoised testing
Performance evaluation
Energy datasets
Online Access:https://doi.org/10.1186/s42162-021-00137-9

Internet

https://doi.org/10.1186/s42162-021-00137-9

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