Clustering algorithm embedded in smart meter for residential load identification

• Grant number: 16/00641-4
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: April 01, 2016
• End date: August 09, 2016
• Field of knowledge: Engineering - Electrical Engineering - Electrical, Magnetic and Electronic Measurements, Instrumentation
• Principal Investigator: Ricardo Augusto Souza Fernandes
• Grantee: Letícia Oliveira de Deus
• Host Institution: Centro de Ciências Exatas e de Tecnologia (CCET). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil

Abstract

This project has as main objective the implementation of clustering algorithms that are able to identify load profiles. For this purpose, the clustering algorithms will be employed based on a noninvasive methodology. Therefore, we intend to use only the instantaneous measuring of voltage and current, which are also necessary to calculate the energy consumption. Highlighting that the smart meter was already developed by the Research Group and the challenges of the present project is focused on enabling the clustering algorithms to be embedded on the hardware (based on ARM Cortex M4). At last, it is important to mention that this type of algorithm allows the application of Demand Response methods, because the identification of loads guarantees the definition of rules for energy usage. In this way, the monthly energy price could be minimized.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

FERNANDES, R. A. S.; DEUS, L. O.; GOMES, L.; VALEL, Z.; OMATU, S; RODRIGUEZ, S; VILLARRUBIA, G; FARIA, P; SITEK, P; PRIETO, J. Statistics-Based Approach to Enable Consumer Profile Definition for Demand Response Programs. DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, v. 620, p. 8-pg., 2018-01-01. (16/00641-4)