Prediction method of distribution network fault quantity level based on GRU network
[1]Gao Jinfeng,Pang Hao,Du Yaoheng.Prediction method of distribution network fault quantity level based on GRU network[J].Journal of Zhengzhou University (Engineering Science),2019,40(05):38-43.[doi:10.13705/j.issn.1671-6833.2019.05.007]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
40卷
Number of periods:
2019 05
Page number:
38-43
Column:
Public date:
2019-10-23
- Title:
- Prediction method of distribution network fault quantity level based on GRU network
- Keywords:
- number of faults in distribution network ; RNN GRU neural network ; historical dependence rel�1Fevance
- CLC:
- -
- DOI:
- 10.13705/j.issn.1671-6833.2019.05.007
- Abstract:
- The number of faults in distribution network was a direct impact on the operation and maintenance of distribution network and the users power consumption experience. At present, there were few stadies on the prediction of the number of faults in distribution network. To measure the historical dependence of distribution network fault magnitude, the optimal feature subset was selected by using the distance correlation coefficient to investigate the correlation of many meteorological features. Finally, the GRU neural network was trained to predict the fault magnitude of distribution network accurately. The results proved the feasibility of this method.
- References:
- -
- Similar References:
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Last Update:
2019-10-26