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Feature selection for probabilistic load forecasting via sparse penalized quantile regression

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Bibliographic Details
Published in:Journal of Modern Power Systems and Clean Energy
Format: Online Article RSS Article
Published: 2019
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container_title Journal of Modern Power Systems and Clean Energy
description
discipline_display Energy
discipline_facet Energy
format Online Article
RSS Article
genre Journal Article
id rss_article:73609
institution FRELIP
journal_source_facet Journal of Modern Power Systems and Clean Energy
publishDate 2019
publishDateSort 2019
record_format rss_article
spellingShingle Feature selection for probabilistic load forecasting via sparse penalized quantile regression
Energy
General
Energy
sub_discipline_display General
sub_discipline_facet General
subject_display Energy
General
Energy
Energy
General
Energy
subject_facet Energy
General
Energy
title Feature selection for probabilistic load forecasting via sparse penalized quantile regression
title_auth Feature selection for probabilistic load forecasting via sparse penalized quantile regression
title_full Feature selection for probabilistic load forecasting via sparse penalized quantile regression
title_fullStr Feature selection for probabilistic load forecasting via sparse penalized quantile regression
title_full_unstemmed Feature selection for probabilistic load forecasting via sparse penalized quantile regression
title_short Feature selection for probabilistic load forecasting via sparse penalized quantile regression
title_sort feature selection for probabilistic load forecasting via sparse penalized quantile regression
topic Energy
General
Energy
url https://link.springer.com/article/10.1007/s40565-019-0552-3