On construction of neural networks for solving the problem of data disaggregation on electricity consumption in households

In this paper, architectures of neural networks are considered in the problem of data disaggregation on electricity consumption. A comparative analysis of methods for selecting the activation threshold for energy consuming devices is carried out. Estimates of quality metrics for each approach are obtained.