Name
Abstract | ||
|---|---|---|
•We investigate the discriminant info contained in electrical energy consumption.•This distinctiveness opens the possibility of novel personal advertisement.•Experiments on two real datasets provide encouraging results. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.patcog.2017.09.039 | Pattern Recognition |
Keywords | Field | DocType |
Energy market,Load profile,Biometrics,Classification,Pre-processing | Data mining,Normalization (statistics),Energy market,Raw data,Load profile,Purchasing,Artificial intelligence,Biometrics,Cluster analysis,Energy consumption,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
74 | 1 | 0031-3203 |
Citations | PageRank | References |
1 | 0.36 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manuele Bicego | 1 | 1028 | 72.30 |
| Alessandro Farinelli | 2 | 667 | 74.16 |
| Enrico Grosso | 3 | 396 | 43.12 |
| D. Paolini | 4 | 1 | 0.36 |
| sarvapali d ramchurn | 5 | 2239 | 161.28 |