JOURNAL ARTICLE

Unsupervised anomaly detection in hourly water demand data using an asymmetric encoder–decoder model

Jieru YanTao Tao

Year: 2022 Journal:   Journal of Hydrology Vol: 613 Pages: 128389-128389   Publisher: Elsevier BV
Keywords:
Anomaly detection Autoencoder Computer science Outlier Anomaly (physics) SIGNAL (programming language) Upstream (networking) Data mining Feature (linguistics) Pattern recognition (psychology) Environmental science Artificial intelligence Deep learning Telecommunications

Metrics

10
Cited By
1.44
FWCI (Field Weighted Citation Impact)
38
Refs
0.74
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Water Systems and Optimization
Physical Sciences →  Engineering →  Civil and Structural Engineering
Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Hydrology and Drought Analysis
Physical Sciences →  Environmental Science →  Global and Planetary Change

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