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Methodological Planning to Determine the Technological Expansion of Smart Metering Systems for Utilities

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Methodological Planning to Determine the Technological Expansion of Smart Metering Systems for Utilities

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dc.contributor.author Toledo-Orozco, Marco es_ES
dc.contributor.author Morales Jadán, Diego es_ES
dc.contributor.author Arévalo Lozado, Sebastián es_ES
dc.contributor.author Álvarez, Carlos es_ES
dc.date.accessioned 2024-11-06T19:19:29Z
dc.date.available 2024-11-06T19:19:29Z
dc.date.issued 2024-09 es_ES
dc.identifier.uri http://hdl.handle.net/10251/211450
dc.description.abstract [EN] This research uses data analysis and mining techniques to determine the technological expansion of measurement systems in a public service company. It integrates technical, economic, geographic, and social variables into the analysis using machine learning techniques to discover patterns and relationships in large data sets. The fuzzy logic methodology is applied using the MATLAB programming tool "Fuzzy Logic" to build algorithms that allow for the correct selection of measurement, achieving greater efficiency and precision in the assignment of meter types. The results show that 98% of the metering systems in the significant part are electronic meters, with the "Residential BT" rate being the most extensive data set. Implementing the "fuzzy logic" technique recognizes that more than 60% of the meters are electronic, with the registration of active energy, reactive energy, and demand, allowing for greater control over the marketing variables of the distribution system operator. This research suggests that a future restructuring of electrical metering systems benefits the company and its users. By applying the analysis, a portfolio of viable projects for the replacement of measurement systems is obtained, and they are grouped into two clusters based on the total cost of the technological change. es_ES
dc.description.sponsorship This research received funding from the research project PIC5P23-09: INTELLIGENT MEASUREMENT SYSTEM INTEGRATED INTO THE OPAL 5600 REAL-TIME SIMULATOR. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Energies es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Fuzzy logic es_ES
dc.subject Distribution systems es_ES
dc.subject Advance metering infrastructure es_ES
dc.subject Planning es_ES
dc.subject Measurement systems es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.title Methodological Planning to Determine the Technological Expansion of Smart Metering Systems for Utilities es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/en17184603 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.description.bibliographicCitation Toledo-Orozco, M.; Morales Jadán, D.; Arévalo Lozado, S.; Álvarez, C. (2024). Methodological Planning to Determine the Technological Expansion of Smart Metering Systems for Utilities. Energies. 17(18). https://doi.org/10.3390/en17184603 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/en17184603 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 17 es_ES
dc.description.issue 18 es_ES
dc.identifier.eissn 1996-1073 es_ES
dc.relation.pasarela S\528253 es_ES


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