Energy Information Analysis Using Data Algorithms based on Big Data platform

被引：0

作者：

Kang, Dongjun ^{[1
]}

Kim, SeungHwan ^{[1
]}

Lee, Tacklim ^{[1
]}

Hwang, Junyeon ^{[1
]}

Lee, Sanghoon ^{[1
]}

Jang, SeongMan ^{[1
]}

Park, Sehyun ^{[1
]}

机构：

[1] Chung Ang Univ, Sch Elect & Elect Engn, Seoul, South Korea

来源：

PROCEEDINGS OF 2016 IEEE 18TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS; IEEE 14TH INTERNATIONAL CONFERENCE ON SMART CITY; IEEE 2ND INTERNATIONAL CONFERENCE ON DATA SCIENCE AND SYSTEMS (HPCC/SMARTCITY/DSS) | 2016年

关键词：

Big data; Data analysis; Algorithms; Energy; Machine learning;

D O I：

10.1109/HPCC-SmartCity-DSS.2016.11

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the development of the IoT market, collectable data is increasing exponentially. Recently, various methods for big data analysis are being suggested. Existing general research on data analysis has some problem that if the size of data is getting bigger, the processing speed is rapidly slow. In this paper, we find out the optimal algorithm that efficiently manage the energy data based on Big data by comparing data which is analyzed using three algorithms.

引用

页码：1530 / 1531

页数：2

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