Advanced Analytics for Harnessing the Power of Smart Meter Big Data

被引:0
|
作者
Alahakoon, Damminda [1 ]
Yu, Xinghuo [2 ]
机构
[1] Deakin Univ, Sch Informat & Business Analyt, Geelong, Vic 3217, Australia
[2] RMIT Univ, Platform Technol Res Inst, Melbourne, Vic, Australia
关键词
Advanced Metering Infrastructure (AMI); Smart Meters; Data Mining; Analytics; Big Data; Stream Analytics; CUSTOMER; IDENTIFICATION; NETWORKS;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Smart meters or advanced metering infrastructure (AMI) are being deployed in many countries around the world. Smart meters are the basic building block of the smart grid and governments have invested vast amounts in smart meter deployment targeting wide economic, social and environmental benefits. The key functionality of the smart meter is the capture and transfer of data relating to the consumption (electricity, gas) and events such as power quality and meter status. Such capability has also resulted in the generation of an unprecedented data volume, speed of collection and complexity, which has resulted in the so called big data challenge. To realize the hidden value and power in such data, it is important to use the appropriate tools and technology which are currently being called advanced analytics. In this paper we define a smart metering landscape and discuss different technologies available for harnessing the smart meter captured data. Main limitations and challenges with existing techniques with big data are also highlighted and several future directions in smart metering are presented.
引用
收藏
页码:40 / 45
页数:6
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