AI-Enhanced Non-Intrusive Load Monitoring for Smart Home Energy Optimization and User-Centric Interaction

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AI-Enhanced Non-Intrusive Load Monitoring for Smart Home Energy Optimization and User-Centric Interaction

Non-Intrusive Load Monitoring (NILM) technology, enabled by high-precision electrical data acquisition sensors at household entry points, facilitates real-time monitoring of electricity consumption, enhancing user interaction with smart home systems and reducing electrical safety risks. However, the...

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Bibliographic Details
Main Authors:	Xiang Li, Yunhe Chen, Xinyu Jia, Fan Shen, Bowen Sun, Shuqing He, Jia Guo
Format:	Article
Language:	English
Published:	MDPI AG 2025-06-01
Series:	Informatics
Subjects:	enhancing user interaction non-intrusive load monitoring (NILM) artificial intelligence voltage–current trajectory analysis frequency-domain analysis load classification
Online Access:	https://www.mdpi.com/2227-9709/12/2/55
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