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AuthorAlsalemi, Abdullah
AuthorRamadan, Mona
AuthorBensaali, Faycal
AuthorAmira, Abbes
AuthorSardianos, Christos
AuthorVarlamis, Iraklis
AuthorDimitrakopoulos, George
Available date2022-12-29T07:34:44Z
Publication Date2019
Publication NameProceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019
ResourceScopus
URIhttp://dx.doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00265
URIhttp://hdl.handle.net/10576/37828
AbstractDomestic user behavior shapes overall power consumption, necessitating the development of systems that analyze and help foster energy efficient behavior. The most important step in the process is the collection and management of comprehensive data on end-user power consumption behavior. This paper presents an appliance-based energy data collection system for domestic households. It revolves around the concept of micro-moments, which are short-timed and energy-based events that form the overall energy behavior of the end-user. The system comprises sensing modules for recording energy consumption, occupancy, temperature, humidity, and luminosity storing recordings on a database server. Sensing parameters were tested in terms of connection stability and measurement accuracy. High stability and accuracy benchmarks have been reached with future work focused on deploying the system for multi-users in addition to enhancing overall data security and integrity. 2019 IEEE.
SponsorThis paper was made possible by National Priorities Research Program (NPRP) grant No. 10-0130-170288 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectBig data
Domestic energy usage
Energy efficiency
Micro-moment
Sensing system
TitleBoosting domestic energy efficiency through accurate consumption data collection
TypeConference Paper
Pagination1468-1472


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