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Souto, Laiz; Meléndez, Joaquim and Herraiz, Sergio.  “Fault Location in Power Distribution Networks using Arbitrary Similarity Criteria in the Principal Component Subspace” 2020 IEEE International Conference on Smart Energy Grid Engineering (SEGE), Oshawa, ON, Canada, 2020, pp. 92-96, doi: 10.1109/SEGE49949.2020.9182029

Souto, Laiz; Meléndez, Joaquim and Herraiz, Sergio.  “Fault Location in Power Distribution Networks using Arbitrary Similarity Criteria in the Principal Component Subspace” 2020 IEEE International Conference on Smart Energy Grid Engineering (SEGE), Oshawa, ON, Canada, 2020, pp. 92-96, doi: 10.1109/SEGE49949.2020.9182029

Souto, Laiz; Herraiz, Sergio and Meléndez, Joaquim. “Performance Comparison of Quantitative Methods for PMU Data Event Detection with Noisy Data,” 2020 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), The Hague, 2020, pp. 1-5. 

Souto, Laiz; Herraiz, Sergio and Meléndez, Joaquim. “Performance Comparison of Quantitative Methods for PMU Data Event Detection with Noisy Data,” 2020 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), The Hague, 2020, pp. 1-5.

Souto, Laiz; Herraiz, Sergio; Meléndez, Joaquim. Fault Location in Low Voltage Smart Grids Based on Similarity Criteria in the Principal Component Subspace. The Eleventh Conference on Innovative Smart Grid Technologies (ISGT 2020), sponsored by the IEEE Power & Energy Society (PES), will be held February 17-20, 2020 at the Grand Hyatt Washington, Washington D.C.

Souto, Laiz; Herraiz, Sergio; Meléndez, Joaquim. Fault Location in Low Voltage Smart Grids Based on Similarity Criteria in the Principal…

Saldaña-González, Antonio E.;  Sumper, Andreas; Aragüés-Peñalba, Mònica and  Smolnikar, Miha. Advanced Distribution Measurement Technologies and Data Applications for Smart Grids: A Review. Energies 2020, 13(14), 3730. DOI: /10.3390/en13143730

Saldaña-González, Antonio E.;  Sumper, Andreas; Aragüés-Peñalba, Mònica and  Smolnikar, Miha. Advanced Distribution Measurement Technologies and Data Applications for Smart Grids: A Review. Energies 2020, 13(14), 3730. DOI: /10.3390/en13143730
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