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Detection of Anomalies in Electricity Consumption Patterns Using Density-Based Clustering: A Hybrid PCA-HDBSCAN Approach Applied to Advanced Metering Data.

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Title: Detection of Anomalies in Electricity Consumption Patterns Using Density-Based Clustering: A Hybrid PCA-HDBSCAN Approach Applied to Advanced Metering Data.
Authors: González, Camilo Medina1, Galvis, Juan1,2, Rosero-Garcia, Javier1,2, jaroserog@unal.edu.co
Source: Applied Sciences (2076-3417); May2026, Vol. 16 Issue 9, p4337, 26p
Database: Applied Science & Technology Source
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        Value: 10.3390/app16094337
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      – Code: eng
        Text: English
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      – TitleFull: Detection of Anomalies in Electricity Consumption Patterns Using Density-Based Clustering: A Hybrid PCA-HDBSCAN Approach Applied to Advanced Metering Data.
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              Text: May2026
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              Y: 2026
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