Open AccessImproved DBSCAN-based Data Anomaly Detection Approach for Battery Energy Storage Stations
Author(s) -
Yaoyang Dai,
Song Sun,
Liang Che
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2351/1/012025
Subject(s) - dbscan , anomaly detection , computer science , data mining , cluster analysis , battery (electricity) , anomaly (physics) , outlier , selection (genetic algorithm) , model selection , scale (ratio) , grid , power (physics) , artificial intelligence , mathematics , cure data clustering algorithm , physics , geometry , correlation clustering , quantum mechanics , condensed matter physics