Black Hole Algorithm for non-technical losses characterization
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2015-01-01
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Rodrigues, Douglas
Ramos, Caio César Oba [UNESP]
De Souza, André Nunes [UNESP]
Papa, João Paulo [UNESP]
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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 non-technical losses identification, as well as the suitability of BHA to this task.
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2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings.