Explainability-Informed Feature Selection and Performance Prediction for Nonintrusive Load Monitoring †

With the massive, worldwide, smart metering roll-out, both energy suppliers and users are starting to tap into the potential of higher resolution energy readings for accurate billing, improved demand response, improved tariffs better tuned to users and the grid, and empowering end-users to know how...

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Detalles Bibliográficos
Autores principales: Mollel, Rachel Stephen, Stankovic, Lina, Stankovic, Vladimir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221163/
https://www.ncbi.nlm.nih.gov/pubmed/37430758
http://dx.doi.org/10.3390/s23104845

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221163/
https://www.ncbi.nlm.nih.gov/pubmed/37430758
http://dx.doi.org/10.3390/s23104845

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