Name
Title | ||
|---|---|---|
Irregularity detection on low tension electric installations by neural network ensembles |
Abstract | ||
|---|---|---|
The volume of energy loss that Brazilian electric utilities have to deal with has been ever increasing. The electricity concessionaries are suffering significant and increasing loss in the last years, due to theft, measurement errors and many other kinds of irregularities. Therefore, there is a great concern from those companies to identify the profile of irregular customers, in order to reduce the volume of such losses. This paper presents the proposal of an intelligent system, composed of two neural networks ensembles, which intends to increase the level of accuracy in the identification of irregularities among low tension consumers. The data used to test the proposed system are from Light S.A. Company, the Rio de Janeiro concessionary. The results obtained presented a significant increase in the identification of irregular customers when compared to the current methodology employed by the company. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/IJCNN.2009.5178985 | IJCNN |
Keywords | Field | DocType |
irregularity detection,irregular customer,electric installation,electricity concessionary,brazilian electric utility,rio de janeiro concessionary,light s.a. company,current methodology,proposed system,neural network ensemble,energy loss,low tension,intelligent system,significant increase,inspection,time series analysis,data mining,neural networks,artificial neural networks,information analysis,databases,rough sets,neural nets,intelligent networks,filtering,measurement error,temperature | Energy loss,Data mining,Time series,Computer science,Artificial intelligence,Intelligent Network,Artificial neural network,Electricity,Filter (signal processing),Rough set,Energy consumption,Machine learning,Reliability engineering | Conference |
ISSN | Citations | PageRank |
2161-4393 | 4 | 0.62 |
References | Authors | |
5 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cyro Muniz | 1 | 8 | 1.14 |
| Karla Figueiredo | 2 | 30 | 6.53 |
| Marley B. R. Vellasco | 3 | 280 | 47.47 |
| Gustavo Chavez | 4 | 4 | 0.62 |
| Marco Pacheco | 5 | 10 | 1.56 |