Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification

12/11/2019

∙

by   Shikha Singh, et al.

∙

0

∙

share

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.