Determinar la variabilidad de la demanda de energía eléctrica que permita evaluar el potencial uso de un esquema tarifario diferencial
ilustraciones, diagramas
- Autores:
-
Duarte Aunta, Javier Eduardo
- Tipo de recurso:
- Fecha de publicación:
- 2023
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/86066
- Palabra clave:
- 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería
000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores
Flexibilidad de la demanda
Variabilidad de la demanda
Energía eléctrica
Respuesta de la demanda
Análisis de datos
Esquema tarifario diferencial
Infraestructura de medición avanzada (AMI)
Medición inteligente
Medidores inteligentes
Time-of-use (ToU)
Demand flexibility
Demand variability
Electric power
Demand response (DR)
Data analysis
Differential tariff scheme
Advanced Metering Infrastructure (AMI)
Smart metering
Smart meters
Energía eléctrica
Costes
Electric power
Costs
Demanda (economía)
demand
- Rights
- openAccess
- License
- Reconocimiento 4.0 Internacional
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| dc.title.spa.fl_str_mv |
Determinar la variabilidad de la demanda de energía eléctrica que permita evaluar el potencial uso de un esquema tarifario diferencial |
| dc.title.translated.eng.fl_str_mv |
Determine the variability of electrical energy demand to evaluate the potential use of a differential tariff scheme |
| title |
Determinar la variabilidad de la demanda de energía eléctrica que permita evaluar el potencial uso de un esquema tarifario diferencial |
| spellingShingle |
Determinar la variabilidad de la demanda de energía eléctrica que permita evaluar el potencial uso de un esquema tarifario diferencial 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería 000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores Flexibilidad de la demanda Variabilidad de la demanda Energía eléctrica Respuesta de la demanda Análisis de datos Esquema tarifario diferencial Infraestructura de medición avanzada (AMI) Medición inteligente Medidores inteligentes Time-of-use (ToU) Demand flexibility Demand variability Electric power Demand response (DR) Data analysis Differential tariff scheme Advanced Metering Infrastructure (AMI) Smart metering Smart meters Energía eléctrica Costes Electric power Costs Demanda (economía) demand |
| title_short |
Determinar la variabilidad de la demanda de energía eléctrica que permita evaluar el potencial uso de un esquema tarifario diferencial |
| title_full |
Determinar la variabilidad de la demanda de energía eléctrica que permita evaluar el potencial uso de un esquema tarifario diferencial |
| title_fullStr |
Determinar la variabilidad de la demanda de energía eléctrica que permita evaluar el potencial uso de un esquema tarifario diferencial |
| title_full_unstemmed |
Determinar la variabilidad de la demanda de energía eléctrica que permita evaluar el potencial uso de un esquema tarifario diferencial |
| title_sort |
Determinar la variabilidad de la demanda de energía eléctrica que permita evaluar el potencial uso de un esquema tarifario diferencial |
| dc.creator.fl_str_mv |
Duarte Aunta, Javier Eduardo |
| dc.contributor.advisor.spa.fl_str_mv |
Rosero Garcia, Javier Alveiro Oscar German, Duarte Velasco |
| dc.contributor.author.spa.fl_str_mv |
Duarte Aunta, Javier Eduardo |
| dc.subject.ddc.spa.fl_str_mv |
620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería 000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores |
| topic |
620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería 000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores Flexibilidad de la demanda Variabilidad de la demanda Energía eléctrica Respuesta de la demanda Análisis de datos Esquema tarifario diferencial Infraestructura de medición avanzada (AMI) Medición inteligente Medidores inteligentes Time-of-use (ToU) Demand flexibility Demand variability Electric power Demand response (DR) Data analysis Differential tariff scheme Advanced Metering Infrastructure (AMI) Smart metering Smart meters Energía eléctrica Costes Electric power Costs Demanda (economía) demand |
| dc.subject.proposal.spa.fl_str_mv |
Flexibilidad de la demanda Variabilidad de la demanda Energía eléctrica Respuesta de la demanda Análisis de datos Esquema tarifario diferencial Infraestructura de medición avanzada (AMI) Medición inteligente Medidores inteligentes |
| dc.subject.proposal.eng.fl_str_mv |
Time-of-use (ToU) Demand flexibility Demand variability Electric power Demand response (DR) Data analysis Differential tariff scheme Advanced Metering Infrastructure (AMI) Smart metering Smart meters |
| dc.subject.unesco.spa.fl_str_mv |
Energía eléctrica Costes |
| dc.subject.unesco.eng.fl_str_mv |
Electric power Costs |
| dc.subject.wikidata.spa.fl_str_mv |
Demanda (economía) |
| dc.subject.wikidata.eng.fl_str_mv |
demand |
| description |
ilustraciones, diagramas |
| publishDate |
2023 |
| dc.date.issued.none.fl_str_mv |
2023-12 |
| dc.date.accessioned.none.fl_str_mv |
2024-05-10T12:43:50Z |
| dc.date.available.none.fl_str_mv |
2024-05-10T12:43:50Z |
| dc.type.spa.fl_str_mv |
Trabajo de grado - Maestría |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/masterThesis |
| dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
| dc.type.content.spa.fl_str_mv |
Text |
| dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/TM |
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acceptedVersion |
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https://repositorio.unal.edu.co/handle/unal/86066 |
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Universidad Nacional de Colombia |
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Repositorio Institucional Universidad Nacional de Colombia |
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https://repositorio.unal.edu.co/ |
| url |
https://repositorio.unal.edu.co/handle/unal/86066 https://repositorio.unal.edu.co/ |
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Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia |
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spa |
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spa |
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Manifiesto para el desarrollo de la flexibilidad de la demanda en españa. Publicado por Energy Pool. El manifiesto aboga por el desarrollo de un marco legislativo y procedimental para la flexibilidad de la demanda en España, en linea con la Directiva (UE) 944/2019 Azam, M. F. and Younis, M. S. (2021). Multihorizon electricity load and price forecasting using an interpretable multihead self-attention and eemd-based framework. IEEE Access, 9:85918–85932. Barai, G. R., Krishnan, S., and Venkatesh, B. (2015). Smart metering and functionalities of smart meters in smart grid- a review. pages 138–145 Barragan, D. E. C., Archilli, G. B., and Silva, L. C. P. D. (2020). Data-driven indicators applied to power distribution systems Bebic, J. Z., Berry, I. M., James, A. N., and Lee, D. O. (2019). Quantifying electric load flexibility using smart meter data Belton, C. A. and Lunn, P. D. (2020). Smart choices? an experimental study of smart meters and time-of-use tariffs in ireland. 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IEEE Transactions on Industrial Informatics, 14:1606–1615 Zhou, Y., Zhang, X., Tang, Y., Mu, Z., Shao, X., Li, Y., and Cai, Q.(2021). Convolutional neural network and data augmentation method for electricity theft detection. pages 1525–1530. Institute of Electrical and Electronics Engineers Inc Zhu, C., Zhu, L., and Liu, B. (2022). A prediction method of anti electricity stealing based on big data of electric power. pages 939–945. Institute of Electrical and Electronics Engineers Inc Zor, K., Timur, O., and Teke, A. (2017). A state-of-the-art review of artificial intelligence techniques for short-term electric load forecasting. Institute of Electrical and Electronics Engineers Inc |
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Reconocimiento 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Rosero Garcia, Javier Alveiro275208baaebbfda7d303f6baf775f000600Oscar German, Duarte Velasco66b487fc24622f05070692476e6315bcDuarte Aunta, Javier Eduardof5d8b3b91bfbf50c2e2f26874a7e0a9b2024-05-10T12:43:50Z2024-05-10T12:43:50Z2023-12https://repositorio.unal.edu.co/handle/unal/86066Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, diagramasEste estudio introduce una metodología para el análisis de la variabilidad en la demanda eléctrica, con el objetivo de estimar la flexibilidad del consumo energético en Colombia. Esta evaluación es clave para la posible implementación de esquemas tarifarios diferenciados, en particular tarifas Time-of-use (ToU). La metodología comienza con un pre-procesamiento de datos, centrado en la organización y limpieza de registros individuales de consumo. Seguidamente, se realiza un procesamiento y clasificación de los datos mediante técnicas de análisis de variabilidad y clustering. Los clusters representativos son seleccionados para identificar intervalos de tiempo con alta variabilidad en el consumo de energía eléctrica. El paso final consiste en analizar el potencial de flexibilidad energética en estos intervalos, tanto para usuarios con alta variabilidad como para el conjunto total de usuarios estudiados. Esta metodología fue aplicada utilizando datos reales de medidores inteligentes del sistema eléctrico colombiano, logrando identificar con éxito las franjas horarias con potencial para establecer tarifas de ToU. Este trabajo, surge como una iniciativa del grupo de investigación Electrical Machines and Drives de la Universidad Nacional – Sede Bogotá, que aspira a fomentar la implementación de estrategias de respuesta de la demanda que promuevan la sostenibilidad y faciliten la transición hacia un panorama energético resiliente a nivel nacional e internacional. Se espera que los hallazgos aquí presentados contribuyan significativamente en la formulación de esquemas tarifarios que incentiven una modificación consciente en los patrones de consumo de energía eléctrica. (Texto tomado de la fuente).This study introduces a methodology for analyzing the variability in electrical demand, aimed at estimating the flexibility of energy consumption in Colombia. This assessment is crucial for the potential implementation of differentiated tariff schemes, particularly Time-of-Use (ToU) rates. The methodology begins with data preprocessing, focusing on the organization and cleaning of individual consumption records. Subsequently, data processing and classification are carried out using variability analysis techniques and clustering. Representative clusters are selected to identify time intervals with high variability in electrical energy consumption. The final step involves analyzing the potential for energy flexibility in these intervals, for both users with high variability and the entire cohort of studied users. This methodology was applied using real data from smart meters in the Colombian electrical system, successfully identifying time slots with potential for establishing ToU tariffs. This work, initiated by the Electrical Machines and Drives research group at the Universidad Nacional - Bogotá Campus, aims to promote the implementation of demand response strategies that encourage sustainability and facilitate the transition to a resilient energy landscape at both national and international levels. The findings presented here are expected to contribute significantly to the development of tariff schemes that encourage a conscious modification in the patterns of electricity consumption.MaestríaMagíster en Ingeniería - Ingeniería de Sistemas y ComputaciónComputación aplicadaxiii, 70 páginasapplication/pdfspaUniversidad Nacional de ColombiaBogotá - Ingeniería - Maestría en Ingeniería - Ingeniería de Sistemas y ComputaciónFacultad de IngenieríaBogotá, ColombiaUniversidad Nacional de Colombia - Sede Bogotá620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadoresFlexibilidad de la demandaVariabilidad de la demandaEnergía eléctricaRespuesta de la demandaAnálisis de datosEsquema tarifario diferencialInfraestructura de medición avanzada (AMI)Medición inteligenteMedidores inteligentesTime-of-use (ToU)Demand flexibilityDemand variabilityElectric powerDemand response (DR)Data analysisDifferential tariff schemeAdvanced Metering Infrastructure (AMI)Smart meteringSmart metersEnergía eléctricaCostesElectric powerCostsDemanda (economía)demandDeterminar la variabilidad de la demanda de energía eléctrica que permita evaluar el potencial uso de un esquema tarifario diferencialDetermine the variability of electrical energy demand to evaluate the potential use of a differential tariff schemeTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMAlquthami, T., Zulfiqar, M., Kamran, M., Milyani, A. 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