Name
Title | ||
|---|---|---|
Deep Learning-Based Time-Varying Parameter Identification for System-Wide Load Modeling. |
Abstract | ||
|---|---|---|
The integration of uncertain power resources is causing more challenges for traditional load modeling research. Parameter identification of load modeling is impacted by a variety of load components with time-varying characteristics. This paper develops a deep learning-based time-varying parameter identification model for composite load modeling (CLM) with ZIP load and induction motor. A multi-moda... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSG.2019.2896493 | IEEE Transactions on Smart Grid |
Keywords | DocType | Volume |
Load modeling,Deep learning,Voltage measurement,Time-varying systems,Induction motors,Reactive power,Time measurement | Journal | 10 |
Issue | ISSN | Citations |
6 | 1949-3053 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mingjian Cui | 1 | 13 | 4.71 |
| Mahdi Khodayar | 2 | 6 | 1.52 |
| Chen Chen | 3 | 160 | 17.09 |
| Xinan Wang | 4 | 15 | 2.98 |
| Yingchen Zhang | 5 | 97 | 18.22 |
| Mohammad E. Khodayar | 6 | 66 | 10.53 |