arXiv:2512.22287v4 Announce Type: replace-cross Abstract: Synthetic appliance data are essential for developing non-intrusive load monitoring algorithms and enabling privacy preserving energy research, yet the scarcity of labeled datasets remains a significant barrier. Recent GAN-based methods have demonstrated the feasibility of synthesizing load patterns, but most…
Thank you for reading this post, don't forget to subscribe!
Source: cs.AI updates on arXiv.org
Automatically aggregated summary — full article and all rights belong to the original publisher.