A Probabilistic Optimum-Path Forest Classifier for Non-Technical Losses Detection
IEEE Transactions on Smart Grid(2019)
摘要
Probabilistic-driven classification techniques extend the role of traditional approaches that output labels (usually integer numbers) only. Such techniques are more fruitful when dealing with problems where one is not interested in recognition/identification only, but also into monitoring the behavior of consumers and/or machines, for instance. Therefore, by means of probability estimates, one can...
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关键词
Training,Probabilistic logic,Prototypes,Optimized production technology,Monitoring,Support vector machines,Feature extraction
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