Export Publication

The publication can be exported in the following formats: APA (American Psychological Association) reference format, IEEE (Institute of Electrical and Electronics Engineers) reference format, BibTeX and RIS.

Export Reference (APA) 
Andrade, M. A. P., M. Filomena Teodoro & Rosa, A. (2024). Service Electricity Quality Evaluation – a cluster approach. 22-nd International Conference of Numerical Analysis and Applied Mathematics.
Export Reference (IEEE) 
M. A. Andrade et al.,  "Service Electricity Quality Evaluation – a cluster approach", in 22-nd Int. Conf. of Numerical Analysis and Applied Mathematics, Heraclião, 2024
Export BibTeX 
@misc{andrade2024_1765612858654,
	author = "Andrade, M. A. P. and M. Filomena Teodoro and Rosa, A.",
	title = "Service Electricity Quality Evaluation – a cluster approach",
	year = "2024",
	howpublished = "Both (printed and digital)",
	url = "https://history.icnaam.org/icnaam_2024/icnaam.org/index.html"
}
Export RIS 
TY  - CPAPER
TI  - Service Electricity Quality Evaluation – a cluster approach
T2  - 22-nd International Conference of Numerical Analysis and Applied Mathematics
AU  - Andrade, M. A. P.
AU  - M. Filomena Teodoro
AU  - Rosa, A.
PY  - 2024
CY  - Heraclião
UR  - https://history.icnaam.org/icnaam_2024/icnaam.org/index.html
AB  - This study analyzes service continuity metrics provided by E-REDES over ten years (2014–2023), focusing on medium-voltage connections in mainland Portugal. Key indicators—TIEPI, SAIDI, and SAIFI—were used to assess continuity across three Quality Service Regulation (QSR) zones (Zones A, B, and C), classified by population density and municipal code. Zone A, comprising densely populated areas, showed the highest performance with fewer and shorter interruptions. Zone B showed moderate performance, whereas Zone C exhibited the most prolonged and frequent interruptions, exhibiting a need for infrastructure improvements. The study employed a two-step cluster analysis and a linear model analysis to examine disparities across municipalities, with the Silhouette Coefficient validating cluster quality. The analysis revealed statistically significant variations in energy service performance across different municipal codes, with temporal trends showing improvement in continuity metrics alongside increased investment in network infrastructure. 
ER  -