Non‐intrusive load monitoring by voltage–current trajectory enabled asymmetric deep supervised hashing
With the development of smart grids, appliance‐level data information plays a vital role in smart power consumption. Nowadays, appliance signatures detected by non‐intrusive load monitoring (NILM) can be used for anomaly detection, demand response, and electricity management. These applications incr...
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| Published in: | IET generation, transmission & distribution Vol. 15; no. 21; pp. 3066 - 3080 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Wiley
01.11.2021
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| Subjects: | |
| ISSN: | 1751-8687, 1751-8695 |
| Online Access: | Get full text |
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