Unsupervised non-technical losses identification through optimum-path forest

Published 2016 View Full Article

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Title
Unsupervised non-technical losses identification through optimum-path forest
Authors
Keywords
Non-technical losses, Optimum-path forest, Clustering, Anomaly detection
Journal
ELECTRIC POWER SYSTEMS RESEARCH
Volume 140, Issue -, Pages 413-423
Publisher
Elsevier BV
Online
2016-06-29
DOI
10.1016/j.epsr.2016.05.036

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