Data augmentation for dealing with low sampling rates in NILM

Tai Le Quy, Sergej Zerr, Eirini Ntoutsi +1

Data have an important role in evaluating the performance of NILM algorithms. The best performance of NILM algorithms is achieved with high-quality evaluation data. However, many e…