Threshold-Free Event Detection for Nonintrusive Load Monitoring Using Motif Difference Field Images and Convolutional Neural Networks

Event detection is a critical process in non-intrusive load monitoring (NILM). Accurate detection enhances subsequent load identification and facilitates a prompt understanding of the system’s real- time status. This paper proposes a novel method to determine event occurrence. First, this met...

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Váldodahkkit:	Yen-Kuang Lin, Men-Shen Tsai
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	IEEE 2025-01-01
Ráidu:	IEEE Access
Fáttát:	NILM event detection motif difference field transition characteristics machine learning
Liŋkkat:	https://ieeexplore.ieee.org/document/11206322/
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