Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

Research on Application of High - efficiency Data Mining to Electric Power Data under Big Data

Authors
Weichun Ge, Zhenjiang Lei, Zhao Li, Xiaolei Hu, Jinyuan Liu
Corresponding Author
Weichun Ge
Available Online June 2017.
DOI
https://doi.org/10.2991/caai-17.2017.91How to use a DOI?
Keywords
electric power information; large data; data analysis and mining; smart grid; feature extraction
Abstract
With the continuous construction of smart grid, power companies produce, transport, sales and management and management have a mass storage, heterogeneous forms, real-time processing of large amounts of data. How to make full use of and analyze these data, rapid access to valuable information of current electric power big data processing is an urgent need to break through the difficulty. On the analysis of the current electricity big data, on the basis of the status quo of the application research on building the intelligent power big data mining technology efficient analysis, from the power of big data analytics integration management, data analysis, data processing, data show four aspects discussed in accordance with the electric power enterprise development needs large data key technology choice. Big data analysis technology in the wide application of electric power industry will bring the change of the industry, the development of smart grid to a new stage.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-360-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/caai-17.2017.91How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Weichun Ge
AU  - Zhenjiang Lei
AU  - Zhao Li
AU  - Xiaolei Hu
AU  - Jinyuan Liu
PY  - 2017/06
DA  - 2017/06
TI  - Research on Application of High - efficiency Data Mining to Electric Power Data under Big Data
BT  - 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 400
EP  - 405
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.91
DO  - https://doi.org/10.2991/caai-17.2017.91
ID  - Ge2017/06
ER  -