NILM Techniques for Intelligent Home Energy Management and Ambient Assisted Living: A Review
Antonio Ruano,
Alvaro Hernandez,
Jesus Ureña,
Maria Ruano and
Juan Garcia
Additional contact information
Antonio Ruano: Faculty of Science & Technology, University of Algarve, 8005-294 Faro, Portugal
Alvaro Hernandez: Department of Electronics, University of Alcalá, 28805 Madrid, Spain
Jesus Ureña: Department of Electronics, University of Alcalá, 28805 Madrid, Spain
Maria Ruano: Faculty of Science & Technology, University of Algarve, 8005-294 Faro, Portugal
Juan Garcia: Department of Electronics, University of Alcalá, 28805 Madrid, Spain
Energies, 2019, vol. 12, issue 11, 1-29
Abstract:
The ongoing deployment of smart meters and different commercial devices has made electricity disaggregation feasible in buildings and households, based on a single measure of the current and, sometimes, of the voltage. Energy disaggregation is intended to separate the total power consumption into specific appliance loads, which can be achieved by applying Non-Intrusive Load Monitoring (NILM) techniques with a minimum invasion of privacy. NILM techniques are becoming more and more widespread in recent years, as a consequence of the interest companies and consumers have in efficient energy consumption and management. This work presents a detailed review of NILM methods, focusing particularly on recent proposals and their applications, particularly in the areas of Home Energy Management Systems (HEMS) and Ambient Assisted Living (AAL), where the ability to determine the on/off status of certain devices can provide key information for making further decisions. As well as complementing previous reviews on the NILM field and providing a discussion of the applications of NILM in HEMS and AAL, this paper provides guidelines for future research in these topics.
Keywords: non-intrusive load monitoring; home energy management systems; ambient assisted living; demand response; machine learning; internet of things; smart grids (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (31)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:11:p:2203-:d:238540
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