DocumentCode :
3469316
Title :
Systems classification based on power signatures
Author :
Marcu, M. ; Stancovici, A.
fYear :
2011
fDate :
5-7 Dec. 2011
Firstpage :
1
Lastpage :
6
Abstract :
The environment sustainability is one of the main directions of intervention for all developed countries. Domestic and office electronic devices have significant share of total energy consumption worldwide. Therefore one important goal for government and environmental institutions is to promote and increase the energy efficiency of consumer electronic devices. In our work we try to address energy efficiency aspects of consumer electronics. Hence we proposed and implemented an intelligent and easy to deploy wireless sensors network based solution for power consumption monitor, analysis and control of electric, electronic and computing devices. In this paper we present an application of this energy monitoring infrastructure to identify the device specific both intrinsic and usage parameters that have large impact on energy efficiency of these devices. The energy efficiency of studied devices is evaluated based on the patterns identified in the measured power consumption profiles, called power signatures. Based on the achieved power profiles´ patterns we intend to develop power management set of control rules and notification alerts for such devices.
Keywords :
consumer electronics; energy conservation; energy measurement; power consumption; power system measurement; signal classification; wireless sensor networks; computing device control; consumer electronic device; consumer electronics; control rules; electric device control; electronic device control; energy efficiency; energy monitoring infrastructure; environment sustainability; notification alert; power consumption monitor; power consumption profile; power management; power signatures; systems classification; wireless sensors network; Energy consumption; Energy efficiency; Hardware; Monitoring; Power demand; Power measurement; Refrigerators; consumer electronics; device classification; energy efficiency; power signatures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies (ISGT Europe), 2011 2nd IEEE PES International Conference and Exhibition on
Conference_Location :
Manchester
ISSN :
2165-4816
Print_ISBN :
978-1-4577-1422-1
Electronic_ISBN :
2165-4816
Type :
conf
DOI :
10.1109/ISGTEurope.2011.6162774
Filename :
6162774
Link To Document :
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