Issue |
MATEC Web Conf.
Volume 139, 2017
2017 3rd International Conference on Mechanical, Electronic and Information Technology Engineering (ICMITE 2017)
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Article Number | 00149 | |
Number of page(s) | 4 | |
DOI | https://doi.org/10.1051/matecconf/201713900149 | |
Published online | 05 December 2017 |
Research on Fault Prediction of Distribution Network Based on Large Data
1 State Grid Hebei Electric Power Company, No.32, fuqiang street, shijiazhuang, hebei province, China
2 State Grid Hebei Economic Research Institute, fuqiang street, shijiazhuang, hebei province, China
a Corresponding author: zhoujinglong2017@sohu.com
With the continuous development of information technology and the improvement of distribution automation level. Especially, the amount of on-line monitoring and statistical data is increasing, and large data is used data distribution system, describes the technology to collect, data analysis and data processing of the data distribution system. The artificial neural network mining algorithm and the large data are researched in the fault diagnosis and prediction of the distribution network.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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