González, C. M., Galvis, J., & Rosero-Garcia, J. (2026). Detection of Anomalies in Electricity Consumption Patterns Using Density-Based Clustering: A Hybrid PCA-HDBSCAN Approach Applied to Advanced Metering Data. Applied Sciences (2076-3417), 16(9), 4337. https://doi.org/10.3390/app16094337
Chicago Style (17th ed.) CitationGonzález, Camilo Medina, Juan Galvis, and Javier Rosero-Garcia. "Detection of Anomalies in Electricity Consumption Patterns Using Density-Based Clustering: A Hybrid PCA-HDBSCAN Approach Applied to Advanced Metering Data." Applied Sciences (2076-3417) 16, no. 9 (2026): 4337. https://doi.org/10.3390/app16094337.
MLA (9th ed.) CitationGonzález, Camilo Medina, et al. "Detection of Anomalies in Electricity Consumption Patterns Using Density-Based Clustering: A Hybrid PCA-HDBSCAN Approach Applied to Advanced Metering Data." Applied Sciences (2076-3417), vol. 16, no. 9, 2026, p. 4337, https://doi.org/10.3390/app16094337.