Boosting domestic energy efficiency through accurate consumption data collection
Author | Alsalemi, Abdullah |
Author | Ramadan, Mona |
Author | Bensaali, Faycal |
Author | Amira, Abbes |
Author | Sardianos, Christos |
Author | Varlamis, Iraklis |
Author | Dimitrakopoulos, George |
Available date | 2022-12-29T07:34:44Z |
Publication Date | 2019 |
Publication Name | 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 |
Resource | Scopus |
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. |
Sponsor | This 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. |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | Big data Domestic energy usage Energy efficiency Micro-moment Sensing system |
Type | Conference Paper |
Pagination | 1468-1472 |
Files in this item
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |
This item appears in the following Collection(s)
-
Computer Science & Engineering [2287 items ]
-
Electrical Engineering [2616 items ]