DocumentCode :
384862
Title :
Intelligent meters for improved system operation and customer relationship management
Author :
Fung, Chun Che ; Wong, Kit Po ; Wong, Kok Wai ; Goh, Ong Sing ; Law, Terence
Author_Institution :
Sch. of Electr. & Comput. Eng., Curtin Univ. of Technol., Bentley, WA, Australia
Volume :
3
fYear :
2002
fDate :
2002
Firstpage :
1758
Abstract :
Since the time. that electric power meters were introduced in the 1870s, the basic function of the meters has remained more or less unchanged. Many developed countries are still using the same technology that has existed for more than a century. In particular, meter readings for residential services are normally taken manually once a month or every two months. While automatic meter reading (AMR) has gradually been introduced in many places, the cost involves in retrofitting the existing systems may not be justified if they are used merely for meter reading. This paper proposes two approaches to enhance the functions of the meters intelligently thereby improving the operation of the electrical supply system and customer relationship management. Data mining (DM) techniques are first discussed for information extraction and an intelligent agent (IA) technique is also proposed for front-end customer services.
Keywords :
customer relationship management; data mining; power system measurement; watthour meters; automatic meter reading; customer relationship management; data mining techniques; electric power meters; information extraction; intelligent agent technique; intelligent meters; residential services; system operation improvement; Automatic meter reading; Costs; Customer relationship management; Customer service; Data mining; Energy consumption; Information technology; Intelligent agent; Meter reading; Power generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
Print_ISBN :
0-7803-7459-2
Type :
conf
DOI :
10.1109/ICPST.2002.1067834
Filename :
1067834
Link To Document :
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