Signals with a different harmonic content of the fundamental component are present in any power distribution systems due to large quantity and diversity of nonlinear loads connected. In this case, the identification of these loads is necessary in order to mitigate the harmonic currents. Thus, the proposal of this work consists of using an attribute selector (Wrapper) and intelligent systems (Neural Networks and Neural Fuzzy Systems) as an alternative to traditional systems for identification of harmonic sources (nonlinear loads) connected to the electrical system focusing loads commonly encountered in residential customers. Experimental results will be reported and properly justified in order to validate the methodology presented.
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