arXiv · 1912.07360
Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification
Abstract
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.
Explore related subjects
Keep this discovery
Shikha Singh, Angshul Majumdar. 2019-12-11. Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification. https://arxiv.org/abs/1912.07360
Cite the original work for its findings. Save a collection to share your selection of sources.