Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Model for identification of electrical appliance and determination of patterns using high-resolution WSN for the efficient home energy consumption based on Deep Learning

Fernando Ulloa-Vásquez
ORCID logo ,
Victor Heredia-Figueroa
* ORCID logo ,
Cristóbal Espinoza-Iriarte
,
José Tobar-Ríos
,
Fernanda Aguayo-Reyes
,
Dante Carrizo
ORCID logo ,
Luis García-Santander
ORCID logo
Version 1 : Received: 18 December 2023 / Approved: 19 December 2023 / Online: 19 December 2023 (12:16:24 CET)

A peer-reviewed article of this Preprint also exists.

Ulloa-Vásquez, F.; Heredia-Figueroa, V.; Espinoza-Iriarte, C.; Tobar-Ríos, J.; Aguayo-Reyes, F.; Carrizo, D.; García-Santander, L. Model for Identification of Electrical Appliance and Determination of Patterns Using High-Resolution Wireless Sensor NETWORK for the Efficient Home Energy Consumption Based on Deep Learning. Energies 2024, 17, 1452. Ulloa-Vásquez, F.; Heredia-Figueroa, V.; Espinoza-Iriarte, C.; Tobar-Ríos, J.; Aguayo-Reyes, F.; Carrizo, D.; García-Santander, L. Model for Identification of Electrical Appliance and Determination of Patterns Using High-Resolution Wireless Sensor NETWORK for the Efficient Home Energy Consumption Based on Deep Learning. Energies 2024, 17, 1452.

Abstract

The introduction of non-conventional renewable energies (photovoltaic and wind, in the residential case) demand new proposals and opportunities to obtain a domestic energy management system (HEMS), which allows reducing the use of electrical energy. The HEMS incorporates artificial intelligence (AI) techniques to respond to energy demand (DR), which can control, switch, turn on and off, modifying the consumption profile, reducing monthly billing, which as a consequence brings improvement. of the quality of life at home. Based on what has been described, a model for identifying electrical appliances and determining consumption patterns for the home is proposed, using intrusive measurement/actuator equipment called Smart Socket. The Smart Socket measures the electrical variables of voltage and current in real time, calculating the powers and active-reactive-apparent energies of each household appliance (or the most relevant ones). The information provided by the Smart Socket is used as a basis to configure the HEMS, with the aim of optimizing energy use using artificial intelligence techniques and tools, thus reducing energy consumption, CO2 emissions and the user's monthly billing. residential.

Keywords

Deep Learning, AMR, Smart-Meter, Smart-Socket, HEMS, Smart-Cities, ILM.

Subject

Engineering, Electrical and Electronic Engineering

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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