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

Better health and ambient assisted living (AAL) from a global, regional and local economic perspective

Assisting technologies aim to provide more support in the meeting of one's daily needs and the preservation of one's autonomy and quality of life. Continual developments in medicine, medical equipment, nursing and medical care are assumed to lead to new types of care being created. A high degree of social and economic relevance has been attributed to assisting technologies, as well as information and communication systems, by scientists and politicians alike, particularly in connection with the development, promotion and organization of so-called senior-friendly environments and with ambient assisted living (AAL). Here the focus is especially upon the aged of the future, their specific demands and resources, which these technologies should be able to serve while adhering to their individual requirements. These new technologies can also be extremely relevant to people surrounding the elderly. They can make a considerable difference to the way in which people are able to live together for example by assisting the nursing care provided by close relatives and they may represent new opportunities to the providers of outpatient and inpatient nursing and medical care. -- Assistierende Technologien sollen der besseren Unterstützung bei der Deckung von Bedürfnissen des täglichen Lebens und zur Erhaltung von Selbständigkeit und Lebensqualität dienen. Es ist davon auszugehen, dass durch die kontinuierliche Entwicklung in der Medizin, der Medizintechnik sowie assistierender Technologien in der medizinischen und pflegerischen Versorgung neue Versorgungsmöglichkeiten geschaffen werden. Insbesondere im Zusammenhang mit der Entwicklung, der Förderung und der Ausgestaltung sogenannter altersgerechter Lebenswelten bzw. eines ambient assisted living (AAL) wird den unterstützenden Technologien und Informations- und Kommunikationstechniken von wissenschaftlicher und politischer Seite eine hohe gesellschaftliche und wirtschaftliche Relevanz zugewiesen. Im Fokus stehen dabei vor allem die zukünftigen Älteren und ihre spezifischen Bedarfe und Ressourcen, die diese Technologien ihren individuellen Bedürfnissen entsprechend nutzen können sollen. Derartige Techniken können aber auch für Personen aus dem sozialen Umfeld der Älteren von hoher Relevanz sein. So können diese die Gestaltung des Zusammenlebens erheblich ändern - beispielsweise durch die Unterstützung bei der pflegerischen Versorgung durch Angehörige - und beispielsweise den Anbietern im Bereich der gesundheitlichen und pflegerischen ambulanten und stationären Versorgung neue Möglichkeiten der Versorgung bieten.

Better Health and Ambient Assisted Living (AAL) from a global, regional and local economic perspective

Assisting technologies aim to provide more support in the meeting of one's daily needs and the preservation of one's autonomy and quality of life. Continual developments in medicine, medical equipment, nursing and medical care are assumed to lead to new types of care being created. A high degree of social and economic relevance has been attributed to assisting technologies, as well as information and communication systems, by scientists and politicians alike, particularly in connection with the development, promotion and organization of so-called senior-friendly environments and with ambient assisted living (AAL).economic development; ambient assisted living; health care system; assisting technologies; health care; new technologies; health economy

Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms

The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications

Acceptance of ambient assisted living (AAL) technologies among older Australians : a review of barriers in user experience

One of the great challenges facing Australian society is that of an ageing population. Amongst the issues involved in this drastic demographic change, the most significant aspect is the demand for older Australians to live independently at home. The development of Ambient Assisted Living (AAL) technologies aims to address this issue. The advancement of AAL applications have been done to support the users with their daily-life activities and health concerns by providing increased mobility, security, safety in emergencies, health-monitoring, improved lifestyle, and fall-detection through the use of sensors. However, the optimum uptake of these technologies among the end-users (the elderly Australians) still remains a big concern. Thus, there is an elevated need to understand the needs and preferences of the seniors in order to improve the acceptance of AAL applications. The aim of this study is to investigate the barriers and perceptions in the use of AAL applications amongst older Australians. Focus groups and quantitative surveys have been conducted to provide a detailed analysis of these impediments. The results show that there are different factors that restrict the use of these technologies along with the fact that elderly people have certain preferences when using them. An understanding of these factors has been gained and suggestions have been made to increase the acceptance of AAL devices. This work gives useful insights towards the design of AAL solutions according to user needs

Analysis of key aspects to manage Wireless Sensor Networks in Ambient Assisted Living environments

Wireless Sensor Networks (WSN) based on ZigBee/IEEE 802.15.4 will be key enablers of non-invasive, highly sensitive infrastructures to support the provision of future ambient assisted living services. This paper addresses the main design concerns and requirements when conceiving ambient care systems (ACS), frameworks to provide remote monitoring, emergency detection, activity logging and personal notifications dispatching services. In particular, the paper describes the design of an ACS built on top of a WSN composed of Crossbow's MICAz devices, external sensors and PDAs enabled with ZigBee technology. The middleware is integrated in an OSGi framework that processes the acquired information to provide ambient services and also enables smart network control. From our experience, we consider that in a future, the combination of ZigBee technology together with a service oriented architecture may be a versatile approach to AAL services offering, both from the technical and business points of view

Towards optimal sensor deployment for location tracking in smart home

International audienceAmbient Assisted Living (AAL) aims to ease the daily living and working environmentfor disabled/elderly peopleat home. AAL use information and communication technology based on sensors data. These sensors are generally placed randomly without taking into account the layout of buildings and rooms. In this paper, we develop a mathematical model foroptimal sensor placement in order (i) to optimize the sensor number with regard to room features, (ii) to ensure a reliability level in sensor networkconsidering a sensor failure rate. This placement ensures the targettracking in smart home sinceoptimizing sensorplacement allow us to distinguish different zonesand consequently, to identify the target location, according to the activated sensors