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المؤلفAlsalemi, Abdullah
المؤلفRamadan, Mona
المؤلفBensaali, Faycal
المؤلفAmira, Abbes
المؤلفSardianos, Christos
المؤلفVarlamis, Iraklis
المؤلفDimitrakopoulos, George
تاريخ الإتاحة2022-12-29T07:34:44Z
تاريخ النشر2019
اسم المنشورProceedings - 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
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00265
معرّف المصادر الموحدhttp://hdl.handle.net/10576/37828
الملخصDomestic 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.
راعي المشروعThis 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.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعBig data
Domestic energy usage
Energy efficiency
Micro-moment
Sensing system
العنوانBoosting domestic energy efficiency through accurate consumption data collection
النوعConference Paper
الصفحات1468-1472
dc.accessType Abstract Only


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