**1. Introduction**

The climate change that the planet is undergoing rapidly has led each country to propose strategies that lead to efficient use of energy resources. The Chilean state has set an energy policy for the year 2050, which establishes energy efficiency as one of its pillars. In this context, the residential consumer has taken an active role in managing their use of electricity and thereby influencing the behavior of their consumption pattern. This recognition facilitates efficient use both for the residential consumer and for the electricity distribution company.

For the distribution company, knowing the behavior profile allows the use of its infrastructure capacity to be maximized, obtaining a reduction in emissions and contributing to sustainable development. On the other hand, for the residential consumer, it allows the responsible use of energy, obtaining a reduction in their monthly billing.

Currently, the development of Management Systems (Energy Management System EMS) to achieve energy efficiency in areas with a high concentration of public, business, and residential loads, is considered a problem of interest in Smart Grids. The use of the Home Energy Management System (HEMS) contributes to managing demand, especially during peak consumption hours, through Demand Response DR programs. Thus, users will be able to participate in the control of demand in real-time, adapting consumption in such a way that demand can be reduced during peak hours and intelligently adapt to times of low activity.

In this article, works related to this research are discussed, mainly on Nonintrusive Automatic Meters (automatic consumption meters) and Intrusive (smart outlets). For this, a low-consumption, high-precision, and low-cost smart socket were designed (15–20 USD). Then, a campaign to measure the electrical consumption of various appliances was carried out in a series of homes for 90 days. With the data obtained, a deep neural network was implemented that allowed the characterization of the device's consumption profile and its differentiation from other devices simultaneously connected to the electrical network.

The rest of the document is organized as follows: Section II presents the works related to this research; Section III describes the methodology used and development of the proposed system; Section IV exposes the experimental development, the results obtained and their discussion; Section V shows the conclusions of the article; and finally, section VI presents future work.
