Energy consumption forecasting for oil and coal in China based on hybrid deep learning

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Main Authors: Jiao He, Yuhang Li, Xiaochuan Xu, Di Wu
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11703084/?tool=EBI
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author Jiao He
Yuhang Li
Xiaochuan Xu
Di Wu
author_facet Jiao He
Yuhang Li
Xiaochuan Xu
Di Wu
author_sort Jiao He
collection DOAJ
format Article
id doaj-art-a64a2bda81b34e77819e59f972401804
institution Kabale University
issn 1932-6203
language English
publishDate 2025-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-a64a2bda81b34e77819e59f9724018042025-01-11T05:31:51ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01201Energy consumption forecasting for oil and coal in China based on hybrid deep learningJiao HeYuhang LiXiaochuan XuDi Wuhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11703084/?tool=EBI
spellingShingle Jiao He
Yuhang Li
Xiaochuan Xu
Di Wu
Energy consumption forecasting for oil and coal in China based on hybrid deep learning
PLoS ONE
title Energy consumption forecasting for oil and coal in China based on hybrid deep learning
title_full Energy consumption forecasting for oil and coal in China based on hybrid deep learning
title_fullStr Energy consumption forecasting for oil and coal in China based on hybrid deep learning
title_full_unstemmed Energy consumption forecasting for oil and coal in China based on hybrid deep learning
title_short Energy consumption forecasting for oil and coal in China based on hybrid deep learning
title_sort energy consumption forecasting for oil and coal in china based on hybrid deep learning
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11703084/?tool=EBI
work_keys_str_mv AT jiaohe energyconsumptionforecastingforoilandcoalinchinabasedonhybriddeeplearning
AT yuhangli energyconsumptionforecastingforoilandcoalinchinabasedonhybriddeeplearning
AT xiaochuanxu energyconsumptionforecastingforoilandcoalinchinabasedonhybriddeeplearning
AT diwu energyconsumptionforecastingforoilandcoalinchinabasedonhybriddeeplearning