Non-intrusive load monitoring based on time-enhanced multidimensional feature visualization
Abstract In the research of non-intrusive load monitoring (NILM), the temporal characteristics of V–I trajectories are often overlooked, and using a single feature for identification may lead to insignificant differences between similar loads. Based on this, this paper proposes a non-intrusive load...
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Main Authors: | Tie Chen, Yimin Yuan, Jiaqi Gao, Shinan Guo, Pingping Yang |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
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Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-89191-x |
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