Paper Info
Title
A Data Stream Model for Home Device Description
Abstract
With the forthcoming deployment of smart metering infrastructures, it will be possible to extract data describing usage and functioning of home devices locally (in residences). Such data can then be streamed continuously and in real-time to a DSMS (Data Stream Management System) for further processing and knowledge extraction. In order for the data to be streamed, their structure and semantics have to be properly defined through a data model. To our knowledge, already existing standards do not include modeling of home devices and their behavior. In this paper, we describe a data stream model that covers these aspects. We also provide basic experimental results based on a data stream generator that we developed and used to test a DSMS.
Year
DOI
Venue
2009
10.1109/RCIS.2009.5089303
RCIS
Keywords
Field
DocType
data models,database management systems,home automation,knowledge acquisition,metering,power engineering computing,power meters,data stream generator,data stream management system,data stream model,home device description,home device usage,knowledge extraction,smart metering infrastructure
Data mining,Data stream management system,Data modeling,Data stream mining,Data stream,Computer science,Home automation,Knowledge extraction,Application software,Data model,Database
Conference
ISSN
Citations 
PageRank 
2151-1357
1
0.36
References 
Authors
8
4
Name
Order
Citations
PageRank
Mohamed Khalil El Mahrsi1233.26
Sylvie Vignes2146.61
Georges Hébrail316441.67
Marie-Luce Picard412.39