Name
Title | ||
|---|---|---|
Social-Spider Optimization-based Support Vector Machines applied for energy theft detection. |
Abstract | ||
|---|---|---|
•Social-Spider Optimization for model selection in Support Vector Machines.•Three distinct scenarios were evaluated.•Proposed approach validated in the context of of theft detection in power distribution systems. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.compeleceng.2015.11.001 | Computers & Electrical Engineering |
Keywords | Field | DocType |
Nontechnical losses,Power distribution systems,Social-Spider Optimization,Support Vector Machines | Particle swarm optimization,Data mining,Feature selection,Computer science,Support vector machine,Distribution system,Model selection,Harmony search,Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
49 | C | 0045-7906 |
Citations | PageRank | References |
4 | 0.41 | 10 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Danillo Roberto Pereira | 1 | 39 | 8.61 |
| Mario A. Pazoti | 2 | 4 | 0.41 |
| Luís A. M. Pereira | 3 | 129 | 8.87 |
| Douglas Rodrigues | 4 | 4 | 0.41 |
| Caio C. O. Ramos | 5 | 52 | 4.92 |
| André N. Souza | 6 | 126 | 9.61 |
| João P. Papa | 7 | 689 | 46.87 |