Event detection for Non Intrusive load monitoring

Kyle D. Anderson, Mario E. Berges, Adrian Ocneanu, Diego Benitez, Jose M.F. Moura

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

154 Citas (Scopus)


Monitoring electricity consumption in the home is an important way to help reduce energy usage and Non-Intrusive Load Monitoring (NILM) techniques are a promising approach to obtain estimates of the electrical power consumption of individual appliances from aggregate measurements of voltage and/or current in the distribution system. In this paper, we discuss event detection algorithms used in the NILM literature and propose new metrics for evaluating them. In particular, we introduce metrics that incorporate information contained in the power signal instead of strict detection rates. We show that this information is important for NILM applications with the goal of improving appliance energy disaggregation. Our work was carried out on a publicly-available week-long dataset of real residential power usage.

Idioma originalInglés
Título de la publicación alojadaProceedings, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Número de páginas6
EstadoPublicada - 2012
Publicado de forma externa
Evento38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012 - Montreal, QC, Canadá
Duración: 25 oct. 201228 oct. 2012

Serie de la publicación

NombreIECON Proceedings (Industrial Electronics Conference)


Conferencia38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012
CiudadMontreal, QC


Profundice en los temas de investigación de 'Event detection for Non Intrusive load monitoring'. En conjunto forman una huella única.

Citar esto