Name
Title | ||
|---|---|---|
Spatial-Temporal-Correlation Multi-Feature-based Project Engineering and Prediction in Smart Grid |
Abstract | ||
|---|---|---|
In this paper, we solve the key positions prediction problem of engineering projects in smart grid, which pays more attention to the spatial-temporal distribution of projects. Many studies show that the projects are affected by multi-dimensional features such as time, space, correlation etc. However, few work can accurately predict the key positions of projects based on multi-dimensional features.... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/SmartIoT52359.2021.00037 | 2021 IEEE International Conference on Smart Internet of Things (SmartIoT) |
Keywords | DocType | ISBN |
Key Positions Prediction,Projects Networks,Multi-Dimensional Feature Extraction,Graph Convolutional Networks | Conference | 978-1-6654-4511-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shaoyuan Huang | 1 | 0 | 0.34 |
| Guozheng Peng | 2 | 0 | 0.34 |
| Yuxi Zhang | 3 | 11 | 6.37 |
| Juan Zhao | 4 | 0 | 0.34 |
| Keping Zhu | 5 | 0 | 0.34 |
| Heng Zhang | 6 | 10 | 6.68 |
| Xiaofei Wang | 7 | 686 | 58.88 |