Short-Term Load Forecasting of Power System Based on VMD-CNN-BIGRU
In order to improve the accuracy of load prediction, taking into account the internal laws and external influencing factors of historical load itself, a kind of variational modal decomposition (VMD) -convolutional neural networks (CNN) -bi-directional gated recurrent units are proposed. BIGRU) short...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2022-10-01
|
| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202206097 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|