González, Camilo Medina; Galvis, Juan; Rosero-Garcia, Javier (2026) Detection of Anomalies in Electricity Consumption Patterns Using Density-Based Clustering: A Hybrid PCA-HDBSCAN Approach Applied to Advanced Metering Data. Applied Sciences, 16 (9). doi:10.3390/app16094337
| Reference Type | Journal (article/letter/editorial) | ||
|---|---|---|---|
| Title | Detection of Anomalies in Electricity Consumption Patterns Using Density-Based Clustering: A Hybrid PCA-HDBSCAN Approach Applied to Advanced Metering Data | ||
| Journal | Applied Sciences | ||
| Authors | González, Camilo Medina | Author | |
| Galvis, Juan | Author | ||
| Rosero-Garcia, Javier | Author | ||
| Year | 2026 (April 29) | Volume | 16 |
| Issue | 9 | ||
| Publisher | MDPI AG | ||
| DOI | doi:10.3390/app16094337Search in ResearchGate | ||
| Generate Citation Formats | |||
| Mindat Ref. ID | 19909433 | Long-form Identifier | mindat:1:5:19909433:4 |
| GUID | 0 | ||
| Full Reference | González, Camilo Medina; Galvis, Juan; Rosero-Garcia, Javier (2026) Detection of Anomalies in Electricity Consumption Patterns Using Density-Based Clustering: A Hybrid PCA-HDBSCAN Approach Applied to Advanced Metering Data. Applied Sciences, 16 (9). doi:10.3390/app16094337 | ||
| Plain Text | González, Camilo Medina; Galvis, Juan; Rosero-Garcia, Javier (2026) Detection of Anomalies in Electricity Consumption Patterns Using Density-Based Clustering: A Hybrid PCA-HDBSCAN Approach Applied to Advanced Metering Data. Applied Sciences, 16 (9). doi:10.3390/app16094337 | ||
| In | (2026, April) Applied Sciences Vol. 16 (9). MDPI AG | ||
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