Evaluating Human Activity and Usage Patterns of Appliances with Smart Meters
Authors
Hernández Alonso, Álvaro; Diego Otón, Laura De; Villadangos Carrizo, José Manuel; Pérez Rubio, María Del Carmen; Pizarro Pérez, Daniel; [et al.]Identifiers
Permanent link (URI): http://hdl.handle.net/10017/57894DOI: 10.1109/MeMeA54994.2022.9856538
ISBN: 978-1-6654-8299-8
Publisher
IEEE
Date
2022-08-22Funders
Agencia Estatal de Investigación
Universidad de Alcalá
Bibliographic citation
Hernández, Á., Diego, L. de, Villadangos, J.M., Pérez, M.C., Pizarro, D., Nieto, R. & Bahillo, A. 2022, "Evaluating Human Activity and Usage Patterns of Appliances with Smart Meters", in 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 22-24 june 2022, Messina, Italy, pp. 1-6.
Keywords
NILM Techniques
Smart Meters
Ambient Intelligence
Independent Living
Description / Notes
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 22-24 June 2022, Messina, Italy.
Project
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105470RA-C33/ES/MEJORANDO Y FOMENTANDO LA VIDA ACTIVA Y BIENESTAR DE LAS PERSONAS CON DEMENCIA Y DETERIORO COGNITIVO LEVE MEDIANTE EL USO DE TECNICAS DE LOCALIZACION/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095168-B-C51/ES/SISTEMAS DE POSICIONAMIENTO LOCAL: ENFOQUE HOLISTICO DESDE LAS TECNOLOGIAS BASE HASTA LAS APLICACIONES/
info:eu-repo/grantAgreement/UAH//CM-JIN-2021-016
Document type
info:eu-repo/semantics/bookPart
Version
info:eu-repo/semantics/acceptedVersion
Publisher's version
https://doi.org/10.1109/MeMeA54994.2022.9856538Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC-BY-NC-ND 4.0)
© 2022 IEEE
Access rights
info:eu-repo/semantics/openAccess
Abstract
Population ageing is becoming a key issue for most western countries, due to the challenges that it poses to the sustainability of future healthcare systems. In this context, many proposals and development are emerging trying to enhance the independent living of elderly and cognitive impaired people at their own homes. For that purpose, the massive deployment of smart meter at houses and buildings, initially focused on improving the energy management, has become a useful tool to provide the society with a variety of services and applications that can be employed for independent living. This work proposes the use of a commercial smart meter that delivers the disaggregated consumption per appliance every hour. This device has been installed on a test house during a training period of two months, in order to infer the behavior routines in the usage of the microwave. After the training, every new day can be compared to the obtained usage pattern of that appliance, in order to launch a notification when the day routine significantly differs. Similarly, since the use of the microwave is related to cooking, activities such as breakfast, lunch or dinner, may also be monitored and/or compared to a trained pattern. The proposal has been validated preliminary with experimental data coming from the aforementioned household.
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