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http://dx.doi.org/10.5370/KIEE.2014.63.8.1111

A Study on Demand-Side Resource Management Based on Big Data System  

Yoon, Jae-Weon (Advanced Institute of Convergence Technology, Seoul National University)
Lee, Ingyu (Advanced Institute of Convergence Technology, Seoul National University)
Choi, Jung-In (Advanced Institute of Convergence Technology, Seoul National University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.63, no.8, 2014 , pp. 1111-1115 More about this Journal
Abstract
With the increasing interest of a demand side management using a Smart Grid infrastructure, the demand resources and energy usage data management becomes an important factor in energy industry. In addition, with the help of Advanced Measuring Infrastructure(AMI), energy usage data becomes a Big Data System. Therefore, it becomes difficult to store and manage the demand resources big data using a traditional relational database management system. Furthermore, not many researches have been done to analyze the big energy data collected using AMI. In this paper, we are proposing a Hadoop based Big Data system to manage the demand resources energy data and we will also show how the demand side management systems can be used to improve energy efficiency.
Keywords
Big data system; Demand response; Hadoop; Distributed database;
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  • Reference
1 Training material: PJM 101, PJM 2013.
2 Implementing of OpenADR2.0a Profile for Demand Response in Smart Grid, KERI.
3 Hadoop The Definitive Guide, 3rd Ed. W. Tom, OReilly Media, July 2009.
4 Hbase: The Definitive Guide, G. Lars, September 2011.
5 Programming Hive, C. Edward, OReilly Media, November 2012.
6 MapReduce: Simplified Data Processing on Large Clusters, J. Dean and S. Ghemawat, Communications of the ACM, 2008.
7 Big data understanding and applications, B. On, KETEP, December, 2012.
8 Smartgrid website, http://www.smartgrid.or.kr, Korean Smart Grid Institute, 2013.
9 Demand side management using ICT and technology, ministry of trade, industry and energy, August, 2013.
10 OpenADR Alliance website, http://www.openadr.org
11 EnerNOC website, http://www.enernoc.com
12 Demand Reductions from the Application of Advanced Metering Infrastructure, Pricing Programs, and Customer-Based Systems-Initial Results, SmartGrid.gov, 2013.
13 Ultra Large-Scale Power System Control Architecture, SmartGrid.gov, October 2012.
14 Demand response architecture and load management algorithms for energy-efficient power grid: a survey, Y. Law, T. Alpcan V. Lee, A. Lo, M. Palaniswami, Seventh International Conference on Knowledge, Information and Creativity Support Systems, 2012.
15 OpenADR Open Source Toolkit: Developing Open Source Software for the Smart Grid, Charles McParland, IEEE Power and Energy Society General Meeting, July 2011.
16 2013 Smart Grid Extension Plans, Korean Smart Grid Institute, June 2013.