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Title	Boosting Domestic Energy Efficiency Through Accurate Consumption Data Collection
ID_Doc	12776
Authors	Alsalemi A.; Ramadan M.; Bensaali F.; Amira A.; Sardianos C.; Varlamis I.; Dimitrakopoulos G.
Year	2019
Published	Proceedings - 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
DOI	http://dx.doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00265
Abstract	Domestic 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.
Author Keywords	Big data; Domestic energy usage; Energy efficiency; Micro-moment; Sensing system

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