Quantile-based Time Series Models for Renewable Generation Probabilistic Forecasting
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Tipo de documento: | Tese |
Título da fonte: | Portal de Dados Abertos da CAPES |
Texto Completo: | https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7701773 |
id |
BRCRIS_a79e738e456e7e58e402531ef17cf1f6 |
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network_acronym_str |
CAPES |
network_name_str |
Portal de Dados Abertos da CAPES |
dc.title.pt-BR.fl_str_mv |
Quantile-based Time Series Models for Renewable Generation Probabilistic Forecasting |
title |
Quantile-based Time Series Models for Renewable Generation Probabilistic Forecasting |
spellingShingle |
Quantile-based Time Series Models for Renewable Generation Probabilistic Forecasting previsão de geração de renováveis renewable generation forecasting MARCELO CASTIEL RUAS |
title_short |
Quantile-based Time Series Models for Renewable Generation Probabilistic Forecasting |
title_full |
Quantile-based Time Series Models for Renewable Generation Probabilistic Forecasting |
title_fullStr |
Quantile-based Time Series Models for Renewable Generation Probabilistic Forecasting Quantile-based Time Series Models for Renewable Generation Probabilistic Forecasting |
title_full_unstemmed |
Quantile-based Time Series Models for Renewable Generation Probabilistic Forecasting Quantile-based Time Series Models for Renewable Generation Probabilistic Forecasting |
title_sort |
Quantile-based Time Series Models for Renewable Generation Probabilistic Forecasting |
topic |
previsão de geração de renováveis renewable generation forecasting |
publishDate |
2019 |
format |
doctoralThesis |
url |
https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7701773 |
author_role |
author |
author |
MARCELO CASTIEL RUAS |
author_facet |
MARCELO CASTIEL RUAS |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/3034753074196848 |
dc.contributor.advisor1.fl_str_mv |
Álvaro Veiga |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/6677797217339969 |
dc.publisher.none.fl_str_mv |
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO |
publisher.none.fl_str_mv |
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO |
instname_str |
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO |
dc.publisher.program.fl_str_mv |
ENGENHARIA ELÉTRICA |
dc.description.course.none.fl_txt_mv |
ENGENHARIA ELÉTRICA |
reponame_str |
Portal de Dados Abertos da CAPES |
collection |
Portal de Dados Abertos da CAPES |
spelling |
CAPESPortal de Dados Abertos da CAPESQuantile-based Time Series Models for Renewable Generation Probabilistic ForecastingQuantile-based Time Series Models for Renewable Generation Probabilistic ForecastingQuantile-based Time Series Models for Renewable Generation Probabilistic ForecastingQuantile-based Time Series Models for Renewable Generation Probabilistic ForecastingQuantile-based Time Series Models for Renewable Generation Probabilistic ForecastingQuantile-based Time Series Models for Renewable Generation Probabilistic ForecastingQuantile-based Time Series Models for Renewable Generation Probabilistic Forecastingprevisão de geração de renováveis2019doctoralThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7701773authorMARCELO CASTIEL RUAShttp://lattes.cnpq.br/3034753074196848Álvaro Veigahttp://lattes.cnpq.br/6677797217339969PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIROPONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIROPONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIROENGENHARIA ELÉTRICAENGENHARIA ELÉTRICAPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES |
identifier_str_mv |
RUAS, MARCELO CASTIEL. Quantile-based Time Series Models for Renewable Generation Probabilistic Forecasting. 2019. Tese. |
dc.identifier.citation.fl_str_mv |
RUAS, MARCELO CASTIEL. Quantile-based Time Series Models for Renewable Generation Probabilistic Forecasting. 2019. Tese. |
_version_ |
1741884618126131200 |