Learning to Identify Non-Technical Losses with Optimum-Path Forest
نویسندگان
چکیده
In this work we have proposed an innovative and accurate solution for non-technical losses identification using the Optimum-Path Forest (OPF) classifier and its learning algorithm. Results in two datasets demonstrated that OPF outperformed the state of the art pattern recognition techniques and OPF with learning achieved better results for automatic nontechnical losses identification than recently ones obtained in the literature. Keywords-Non-Technical Losses, Optimum-Path Forest.
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