Name
Title | ||
|---|---|---|
A Novel K-Means Clustering and Weighted K-NN Regression Based Fast Transmission Line Protection |
Abstract | ||
|---|---|---|
This article presents a $k$-means clustering and weighted $k$-nearest neighbor ($k$-NN) regression-based algorithm for the protection of transmission line. Three-phase current signals of both the terminals are synchronized and sampled with a sampling frequency of 3.84 kHz. Cumulative differential sum (CDS) is computed by subtracting the samples of current cycle from the previous cycle at both the ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TII.2020.3037869 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
$k$ -means clustering,machine learning and signal processing,transmission line,weighted $k$ -nearest neighbor ( $k$ -NN) regression | Journal | 17 |
Issue | ISSN | Citations |
9 | 1551-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amit Kumar Gangwar | 1 | 0 | 0.34 |
| Om Prakash Mahela | 2 | 4 | 4.46 |
| Bhuvnesh Rathore | 3 | 0 | 0.68 |
| Baseem Khan | 4 | 8 | 4.93 |
| Hassan Haes Alhelou | 5 | 8 | 13.42 |
| Pierluigi Siano | 6 | 271 | 61.21 |