ELECTRIcity: An Efficient Transformer for Non-Intrusive Load Monitoring
Non-Intrusive Load Monitoring (NILM) describes the process of inferring the consumption pattern of appliances by only having access to the aggregated household signal. Sequence-tosequence deep learning models have been firmly established as state-of-the-art approaches for NILM, in an attempt to iden...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |