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Energy Information Analysis Using Data Algorithms based on Big Data platform
- Authors
- Kang, Dongjun; Kim, SeungHwan; Lee, Tacklim; Hwang, Junyeon; Lee, Sanghoon; Jang, SeongMan; Park, Sehyun
- Issue Date
- Jan-2016
- Publisher
- IEEE
- Keywords
- Big data; Data analysis; Algorithms; Energy; Machine learning
- Citation
- 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), pp 1530 - 1531
- Pages
- 2
- Journal Title
- 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)
- Start Page
- 1530
- End Page
- 1531
- ISSN
- 0000-0000
- Abstract
- 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.
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