Table 1.
Comparison of Transformer-based NILM methods.
Reference | Name | Publication Date |
Dataset | Framework | ||
---|---|---|---|---|---|---|
Task | Main Components | Loss | ||||
Lin et al. [24] |
MA-net and MAED-net |
August 2020 | REDD | r and c | Encoders and Decoders |
MSE |
Yue et al. [25] |
BERT4NILM | November 2020 | REDD and UK-DALE |
r and c | Encoders | MSE +KL divergence +soft-margin |
Yue et al. [26] |
ELTransformer | March 2022 | REDD and UK-DALE |
r and c | Encoders | MSE |
Sykiotis et al. [27] |
ELECTRIcity | April 2022 | REDD and UK-DALE and Refit |
r and c | Encoders | MSE +KL divergence |