NDLI: Intelligent meters for improved system operation and customer relationship management

Content Provider	IEEE Xplore Digital Library
Author	Chun Che Fung Kit Po Wong Kok Wai Wong Ong Sing Goh Law, T.
Copyright Year	2002
Description	Author affiliation: Sch. of Electr. & Comput. Eng., Curtin Univ. of Technol., Bentley, WA, Australia (Chun Che Fung)
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.
Sponsorship	IEEE Power Eng. Soc. (IEEE PES) Chinese Soc. Electr. Eng. (CSEE) China Electric Power Res. Inst. IEEE/PES Beijing Chapter
Starting Page	1758
Ending Page	1762
File Size	374303
Page Count	5
File Format	PDF
ISBN	0780374592
DOI	10.1109/ICPST.2002.1067834
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-10-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Customer relationship management Meter reading Automatic meter reading Costs Data mining Intelligent agent Customer service Information technology Power generation Energy consumption
Content Type	Text
Resource Type	Article

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