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A Multiscale Lightweight Deep Learning Approach for Short‐Term Multi‐Energy Load Forecasting in Integrated Energy Systems

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Published in:IET Energy Systems Integration
Format: Online Article RSS Article
Published: 2026
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container_title IET Energy Systems Integration
description
discipline_display Energy
discipline_facet Energy
format Online Article
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genre Journal Article
id rss_article:89799
institution FRELIP
journal_source_facet IET Energy Systems Integration
last_indexed 2026-06-11T02:00:41.891Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle A Multiscale Lightweight Deep Learning Approach for Short‐Term Multi‐Energy Load Forecasting in Integrated Energy Systems
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 A Multiscale Lightweight Deep Learning Approach for Short‐Term Multi‐Energy Load Forecasting in Integrated Energy Systems
title_auth A Multiscale Lightweight Deep Learning Approach for Short‐Term Multi‐Energy Load Forecasting in Integrated Energy Systems
title_full A Multiscale Lightweight Deep Learning Approach for Short‐Term Multi‐Energy Load Forecasting in Integrated Energy Systems
title_fullStr A Multiscale Lightweight Deep Learning Approach for Short‐Term Multi‐Energy Load Forecasting in Integrated Energy Systems
title_full_unstemmed A Multiscale Lightweight Deep Learning Approach for Short‐Term Multi‐Energy Load Forecasting in Integrated Energy Systems
title_short A Multiscale Lightweight Deep Learning Approach for Short‐Term Multi‐Energy Load Forecasting in Integrated Energy Systems
title_sort a multiscale lightweight deep learning approach for short‐term multi‐energy load forecasting in integrated energy systems
topic Energy
General
Energy
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/esi2.70048?af=R