Copula autoregressive methodology for the simulation of wind speed and direction time series
"This paper applies a copula autoregressive methodology for simulating hourly wind speed and direction time series considering the serial and between-series dependence. This methodology allows non-linear and asyrnrnetric modelling of the series, which translates to a better replication Of the s...
- Autores:
-
Sarmiento Cardona, Carlos Alberto
- Tipo de recurso:
- Fecha de publicación:
- 2016
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/61125
- Acceso en línea:
- http://hdl.handle.net/1992/61125
- Palabra clave:
- Análisis de series de tiempo
Cópulas (Estadística matemática)
- Rights
- openAccess
- License
- https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
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Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Valencia Arboleda, Carlos Felipe134e235e-2eb5-46e1-905c-9f076f153dcb400Sarmiento Cardona, Carlos Alberto4bcb3b87-0652-49ef-8d64-efff6679ca5b500Akhavan Tabatabaei, RahaMura, Ivan2022-09-26T22:09:43Z2022-09-26T22:09:43Z2016http://hdl.handle.net/1992/61125instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/754491-1001"This paper applies a copula autoregressive methodology for simulating hourly wind speed and direction time series considering the serial and between-series dependence. This methodology allows non-linear and asyrnrnetric modelling of the series, which translates to a better replication Of the statistical Of the time series Of historical data used. Also it allows to separate Out the modelling Of the temporal dependence from the marginal behaviour Of the time series. Results showed that the copula autoregressive methodolouy is able to reproduce most of the linear and non-linear characteristics observed on the original series". -- Tomado del resumen.Magíster en Ingeniería IndustrialMaestría17 hojasapplication/pdfengUniversidad de los AndesMaestría en Ingeniería IndustrialFacultad de IngenieríaDepartamento de Ingeniería IndustrialCopula autoregressive methodology for the simulation of wind speed and direction time seriesTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMAnálisis de series de tiempoCópulas (Estadística matemática)201013998PublicationORIGINAL11367.pdfapplication/pdf1136475https://repositorio.uniandes.edu.co/bitstreams/a0f840c9-56a3-4cf3-9b1a-7d791e7fa27e/download56e000ecf253a2ed97392d13f41c4ca1MD51THUMBNAIL11367.pdf.jpg11367.pdf.jpgIM Thumbnailimage/jpeg18622https://repositorio.uniandes.edu.co/bitstreams/a7a53847-e74a-466d-9f4d-642c2e5ef9f2/download335ad187b6d0bdf758a26689dcf1bfecMD53TEXT11367.pdf.txt11367.pdf.txtExtracted texttext/plain37084https://repositorio.uniandes.edu.co/bitstreams/8a7b8b81-1290-475f-b33f-36d5a0772388/downloada1af02fa8a0a05cc8a8c9415fb9cc0e5MD521992/61125oai:repositorio.uniandes.edu.co:1992/611252023-10-10 18:48:56.295https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfopen.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.co |
dc.title.spa.fl_str_mv |
Copula autoregressive methodology for the simulation of wind speed and direction time series |
title |
Copula autoregressive methodology for the simulation of wind speed and direction time series |
spellingShingle |
Copula autoregressive methodology for the simulation of wind speed and direction time series Análisis de series de tiempo Cópulas (Estadística matemática) |
title_short |
Copula autoregressive methodology for the simulation of wind speed and direction time series |
title_full |
Copula autoregressive methodology for the simulation of wind speed and direction time series |
title_fullStr |
Copula autoregressive methodology for the simulation of wind speed and direction time series |
title_full_unstemmed |
Copula autoregressive methodology for the simulation of wind speed and direction time series |
title_sort |
Copula autoregressive methodology for the simulation of wind speed and direction time series |
dc.creator.fl_str_mv |
Sarmiento Cardona, Carlos Alberto |
dc.contributor.advisor.none.fl_str_mv |
Valencia Arboleda, Carlos Felipe |
dc.contributor.author.none.fl_str_mv |
Sarmiento Cardona, Carlos Alberto |
dc.contributor.jury.none.fl_str_mv |
Akhavan Tabatabaei, Raha Mura, Ivan |
dc.subject.keyword.spa.fl_str_mv |
Análisis de series de tiempo Cópulas (Estadística matemática) |
topic |
Análisis de series de tiempo Cópulas (Estadística matemática) |
description |
"This paper applies a copula autoregressive methodology for simulating hourly wind speed and direction time series considering the serial and between-series dependence. This methodology allows non-linear and asyrnrnetric modelling of the series, which translates to a better replication Of the statistical Of the time series Of historical data used. Also it allows to separate Out the modelling Of the temporal dependence from the marginal behaviour Of the time series. Results showed that the copula autoregressive methodolouy is able to reproduce most of the linear and non-linear characteristics observed on the original series". -- Tomado del resumen. |
publishDate |
2016 |
dc.date.issued.spa.fl_str_mv |
2016 |
dc.date.accessioned.none.fl_str_mv |
2022-09-26T22:09:43Z |
dc.date.available.none.fl_str_mv |
2022-09-26T22:09:43Z |
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 |
status_str |
acceptedVersion |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/1992/61125 |
dc.identifier.instname.spa.fl_str_mv |
instname:Universidad de los Andes |
dc.identifier.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional Séneca |
dc.identifier.repourl.spa.fl_str_mv |
repourl:https://repositorio.uniandes.edu.co/ |
dc.identifier.local.spa.fl_str_mv |
754491-1001 |
url |
http://hdl.handle.net/1992/61125 |
identifier_str_mv |
instname:Universidad de los Andes reponame:Repositorio Institucional Séneca repourl:https://repositorio.uniandes.edu.co/ 754491-1001 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.rights.uri.*.fl_str_mv |
https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf |
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info:eu-repo/semantics/openAccess |
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http://purl.org/coar/access_right/c_abf2 |
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https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.extent.spa.fl_str_mv |
17 hojas |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Universidad de los Andes |
dc.publisher.program.spa.fl_str_mv |
Maestría en Ingeniería Industrial |
dc.publisher.faculty.spa.fl_str_mv |
Facultad de Ingeniería |
dc.publisher.department.spa.fl_str_mv |
Departamento de Ingeniería Industrial |
institution |
Universidad de los Andes |
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