Download 2. Scalable and Cooperative Big Data Mining Platform

2016 China International Conference on Electricity Distribution (CICED 2016)
Xi’an, 10-13 Aug, 2016
Scalable and Cooperative Big Data Mining Platform Design for Smart Grid
CHENG TIANSHI
School of Electrical Engineering, Southeast University, Nanjing, China
Abstract:
Significances and principle of smart grid data mining were analysed. The scalable and cooperative big data
mining architecture was proposed. The methods for establishing such platform were detailed about. A real
big data minning platform was established for power big data hybrid processing and complex relation
analysis. On the platform, all consumer load data of Jiangsu province were clustered through K-Means
clustering to demonstrate the platform functionalities. The research practice indicated that the proposed
platform leads to higher productivity of the big data mining applications in smart grids.
1.
Big data mining challenges in smart grids brief
This section introduces characteristics of big data and data mining in smart grid, challenges of data mining
work in smart grids.
2.
Scalable and Cooperative Big Data Mining Platform
2.1.
The basic designed consideration of big data mining platform
2.2.
scalable and cooperative data mining architecture design
3.
Implements of big data mining platform
4.
Real platform practice
Real platform introduction, K-Means clustering was performed to act as a demo of the platform.
6.
Conclusion
The platform achieves scalable deployment and flexible data mining functionalities. The platform can
significantly reduce the complexity of big data mining, make it easy for field experts to cooperate on data
research, leading to better data mining results and applications in smart grids.
Keywords:
Big data, scalable, data mining, smart grid.
Author’s brief introduction and contact information:
CHENG Tianshi was born in Jiangsu province, China, in 1995. He is currently a junior student in
electrical engineering, at the Southeast University. His research interests include smart grid, power systems
analysis and control. E-mail: 213132955@seu.edu.cn.
WANG Liang was born in 1990. He is currently a graduate student electrical engineering, at the Southeast
University. His research interests include electrical information technology. E-mail:
fdwangliang@163.com.
JIANG Wei was born in Jiangsu province, China, in 1982. He received the B.S., M.S., and Ph.D. degrees in
electrical engineering from Southeast University, Nanjing, China in 2004, 2008, and 2012, respectively.
He is currently a lecturer with the School of Electrical Engineering, Southeast University. His research
CICED2016
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2016China International Conference on Electricity Distribution (CICED 2016)
Xian Sep. 2016
interests include the application of power electronics in distributed generation systems, energy storage
systems and power quality control. E-mail: jiangwei@seu.edu.cn.
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