Black Hole Algorithm for Non-technical Losses Characterization
Nenhuma Miniatura disponível
Data
2015-01-01
Autores
Rodrigues, Douglas
Oba Ramos, Caio Cesar [UNESP]
Souza, Andre Nunes de [UNESP]
Papa, Joao Paulo [UNESP]
Arnaud, A.
Silveira, F.
Garcia, L.
Título da Revista
ISSN da Revista
Título de Volume
Editor
Ieee
Resumo
With the consolidation of Smart Grids, a considerable amount of works can be noticed, mainly with respect to the application of several artificial intelligence techniques in order to automatically identify non-technical losses, but the problem of selecting the most representative features has not been widely discussed. In this work, we make a parallel among the problem of non-technical losses and the task of irregular consumers characterization by means of a recent meta-heuristic optimization technique called Black Hole Algorithm (BHA). The experimental setup is conducted over two private datasets provided by a Brazilian electric power company, and it shows the importance of selecting the most relevant features in the context of nontechnical losses identification, as well as the suitability of BHA to this task.
Descrição
Palavras-chave
Como citar
2015 Ieee 6th Latin American Symposium On Circuits & Systems (lascas). New York: Ieee, 4 p., 2015.