Paper Info
Title
A Hybrid ICT-Solution for Smart Meter Data Analytics.
Abstract
Smart meters are increasingly used worldwide. Smart meters are the advanced meters capable of measuring energy consumption at a fine-grained time interval, e.g., every 15 min. Smart meter data are typically bundled with social economic data in analytics, such as meter geographic locations, weather conditions and user information, which makes the data sets very sizable and the analytics complex. Data mining and emerging cloud computing technologies make collecting, processing, and analyzing the so-called big data possible. This paper proposes an innovative ICT-solution to streamline smart meter data analytics. The proposed solution offers an information integration pipeline for ingesting data from smart meters, a scalable platform for processing and mining big data sets, and a web portal for visualizing analytics results. The implemented system has a hybrid architecture of using Spark or Hive for big data processing, and using the machine learning toolkit, MADlib, for doing in-database data analytics in PostgreSQL database. This paper evaluates the key technologies of the proposed ICT-solution, and the results show the effectiveness and efficiency of using the system for both batch and online analytics.
Year
DOI
Venue
2016
10.1016/j.energy.2016.05.068
Energy
Keywords
Field
DocType
ICT-solution,Smart meter data,Big data,Data analytics
Data mining,Information integration,Software analytics,Data analysis,Web analytics,Waste management,Smart meter,Engineering,Analytics,Business intelligence,Big data,Database
Journal
Volume
ISSN
Citations 
115
0360-5442
11
PageRank 
References 
Authors
0.68
11
2
Name
Order
Citations
PageRank
Xiufeng Liu110814.69
Per Sieverts Nielsen2263.83