NILM techniques for intelligent home energy management and ambient assisted living: a review

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.Agência financiadora: Programa Operacional Portugal 2020 and Programa Operacional Regional do Algarve 01/SAICT/2018/39578 Fundação para a Ciência e Tecnologia through IDMEC, under LAETA: SFRH/BSAB/142998/2018 SFRH/BSAB/142997/2018 UID/EMS/50022/2019 Junta de Comunidades de Castilla-La-Mancha, Spain: SBPLY/17/180501/000392 Spanish Ministry of Economy, Industry and Competitiveness (SOC-PLC project): TEC2015-64835-C3-2-R MINECO/FEDERinfo:eu-repo/semantics/publishedVersio

AnAbEL: Towards empowering people living with dementia in ambient assisted living

Ambient assisted living aims to support the well-being of people with special needs by offering assistive solutions. Systems focused on dementia increase the autonomy of people living with dementia by monitoring their activities. Topics such as activity recognition and specific solutions such as reminders and tracking users by Global Positioning System offer great advances in user safety and help them preserve a healthier lifestyle. However, these solutions are often addressed to secondary parties, providing them activity logs or alerts, but excluding the main user, the person living with dementia. Although the primary users are taken into consideration at some design stages using user-centred design frameworks, the final products tend to not fully address user needs. This paper presents an ambient intelligent system aimed at reducing this limitation by providing reminders and advice to the person living with dementia in the first instance. The system still involves caregivers if unusual or unhealthy behaviour continues. The solution is deployed in order to be validated by professionals from London city boroughs who work in housing and dementia related services, with an emphasis on enhancing healthy lifestyles by empowering the user in the early stages of dementia with autonomy. Through continued activity monitoring in real-time, the system can provide reminders and warnings to users to keep healthy routines. Continuous monitoring provides user behaviour tracking, and the context-aware logic used involves caregivers through alerts when necessary to ensure user safety. This article describes the process followed in developing the system, and covers previous concerns and practical feedback from health professionals over the deployment of the system in a real environment. Our approach also includes a novelty indoor localization system to distinguish users and allows a more specific delivery of services in multi-occupancy scenarios