Detection and analysis of energy data by using quantum filter
With the rapid development of smart power grid as the core of smart meters,power big data has attracted the attention of users,power companies and the government.The introduction of adaptive filtering into the power grid information monitoring was explored.Due to the complexity of the power load cur...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2017-05-01
|
| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2017070/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | With the rapid development of smart power grid as the core of smart meters,power big data has attracted the attention of users,power companies and the government.The introduction of adaptive filtering into the power grid information monitoring was explored.Due to the complexity of the power load curve,specific model cannot be described.A model-independent intelligent filter was constructed by using the recurrent quantum neural network.The quantum filter was tried to use in the power load forecasting and abnormal electrical testing. |
|---|---|
| ISSN: | 1000-0801 |