Prediction of 1 000 kV UHV Line Loss Based on Improved RBFNN
In view of the complex relationship between UHV transmission line loss and its characteristic parameters, this paper proposes a radial basis function neural network (RBFNN) model improved by use of the Canopy-K-means clustering algorithm and the adaptive second mutation differential evolution (ASMDE...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2022-05-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202103090 |