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...
Main Authors: | Christoph Klemenjak, Stephen Makonin, Wilfried Elmenreich |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2021-03-01
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Series: | Energy Informatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s42162-021-00137-9 |
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