| Title |
Analyzing Smart Grid Energy Data using Hadoop Based Big Data System |
| Authors |
조영탁(Cho, YoungTak) ; 이원진(Lee, WonJin) ; 이인규(Lee, Ingyu) ; 온병원(On, Byung-Won) ; 최중인(Choi, Jung-In) |
| DOI |
https://doi.org/10.5370/KIEEP.2015.64.2.085 |
| Keywords |
Smart grid ; Big data system ; Power data analysis ; Hadoop ; Energy efficiency |
| Abstract |
With the increasing popularity of Smart Grid infrastructure, it is much easier to collect energy usage data using AMI (Advanced Measuring Instrument) from residential housing, buildings and factories. Several researches have been done to improve an energy efficiency by analyzing the collected energy usage data. However, it is not easy to store and analyze the energy data using a traditional relational database management system since the data size grows exponentially with an increasing popularity of Smart grid infrastructure. In this paper, we are proposing a Hadoop based Big data system to store and analyze energy usage data. Based on our limited experiments, Hadoop based energy data analysis is three times faster than that of a relational database management system based approach with the current system. |