Name
Title | ||
|---|---|---|
Feature Construction and Calibration for Clustering Daily Load Curves from Smart-Meter Data. |
Abstract | ||
|---|---|---|
This paper proposes and compares feature construction and calibration methods for clustering daily electricity load curves. Such load curves describe electricity demand over a period of time. A rich body of the literature has studied clustering of load curves, usually using temporal features. This limits the potential to discover new knowledge, which may not be best represented as models consistin... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TII.2016.2528819 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Calibration,Clustering methods,Energy consumption,Computer science,Clustering algorithms,Informatics,Electric potential | Journal | 12 |
Issue | ISSN | Citations |
2 | 1551-3203 | 7 |
PageRank | References | Authors |
0.47 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Reem Al-Otaibi | 1 | 8 | 0.83 |
| Nanlin Jin | 2 | 51 | 8.70 |
| Tom Wilcox | 3 | 24 | 1.88 |
| Peter A. Flach | 4 | 3457 | 269.66 |