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Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification
Shikha Singh, Angshul Majumdar · 2019-12-11 · via stat.ML updates on arXiv.org

This work follows the approach of multi-label classification for non-intrusive load monitoring (NILM). We modify the popular sparse representation based classification (SRC) approach (developed for single label classification) to solve multi-label classification problems. Results on benchmark REDD and Pecan Street dataset shows significant improvement over state-of-the-art techniques with small volume of training data.

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