DocumentCode :
641239
Title :
A comparative analysis of smart metering data aggregation performance
Author :
Ilic, D. ; Karnouskos, Stamatis ; Wilhelm, Matthias
Author_Institution :
SAP Res., Karlsruhe, Germany
fYear :
2013
fDate :
29-31 July 2013
Firstpage :
434
Lastpage :
439
Abstract :
In the Smart Grid era fine-grained energy information pertaining real world processes can be collected and may reveal new insights if these can be analyzed in real-time. Energy “Big Data” analytics can lead to a plethora of new innovative applications and enhance decision making processes. However, to do so, we need new enterprise tools and approaches that can take into consideration the specifics of the energy domain and offer high performance analytics on its raw data. In this work, experiments are conducted to measure the performance of the different levels of energy data aggregation. Thousands of smart meters are aggregated, by usage of the collected energy readings from a real-world trial. Using a selected dataset, the traditional database system (row-based) performance is compared to the emerging column-based approach in order to assess the suitability for real-time analytics in such scenarios.
Keywords :
metering; smart meters; smart power grids; column-based approach; decision making process; energy big data analytics; energy data aggregation; energy domain; enterprise tool; fine-grained energy information; high-performance analytics; innovative application; row-based performance; smart grid; smart metering data aggregation performance; smart meters; traditional database system performance; Cities and towns; Engines; Hard disks; Interpolation; Performance evaluation; Real-time systems; Runtime;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Informatics (INDIN), 2013 11th IEEE International Conference on
Conference_Location :
Bochum
Type :
conf
DOI :
10.1109/INDIN.2013.6622924
Filename :
6622924
Link To Document :
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