Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home. (arXiv:2201.07387v1 [cs.LG])

Data is the fuel of data science and machine learning techniques for smart
grid applications, similar to many other fields. However, the availability of
data can be an issue due to privacy concerns, data size, data quality, and so
on. To this end, in this paper, we propose a Variational AutoEncoder Generative
Adversarial Network (VAE-GAN) as a smart grid data generative model which is
capable of learning various types of data distributions and generating
plausible samples from the same distribution …

arxiv autoencoder data generative adversarial network home network smart smart home synthetic data