Research on Application of High - efficiency Data Mining to Electric Power Data under Big Data
Weichun Ge, Zhenjiang Lei, Zhao Li, Xiaolei Hu, Jinyuan Liu
Available Online June 2017.
- https://doi.org/10.2991/caai-17.2017.91How to use a DOI?
- electric power information; large data; data analysis and mining; smart grid; feature extraction
- 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.
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 -