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ANOMALY INFERENCE BASED ON HETEROGENEOUS DATA SOURCES IN AN ELECTRICAL DISTRIBUTION SYSTEM
Author(s) -
Yachen Tang
Publication year - 2021
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.37099/mtu.dc.etdr/754
Subject(s) - reconfigurability , observability , resilience (materials science) , metering mode , anomaly detection , computer science , anomaly (physics) , smart grid , inference , distributed computing , systems engineering , data mining , engineering , artificial intelligence , electrical engineering , telecommunications , physics , condensed matter physics , mechanical engineering , mathematics , thermodynamics

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