Analysis of neural network models for solving the problem of energy disaggregation in industrial facilities and households

This study analyzes neural network architectures based on recurrent, convolutional networks, as well as networks based on transformer architecture, VAE, and diffusion models in the context of the task of disaggregating data on electricity consumption in industrial facilities and households.