Machine Learning Models for Non-Intrusive Load Monitoring: A Systematic Review and Meta-Analysis
Non-Intrusive Load Monitoring (NILM) systems are increasingly applied in residential and commercial environments to disaggregate energy consumption without requiring additional hardware sensors. The integration of Machine Learning (ML) techniques has enhanced the accuracy and efficiency of load iden...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2026-03-01
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| Collection: | Inventions |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2411-5134/11/2/29 |
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