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Non‐Intrusive Short‐Term Load Forecasting Based on VMD‐CNN‐BiLSTM

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Bibliographic Details
Published in:IET Cyber-Physical Systems : Theory & Applications
Format: Online Article RSS Article
Published: 2026
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container_title IET Cyber-Physical Systems : Theory & Applications
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:31171
institution FRELIP
journal_source_facet IET Cyber-Physical Systems : Theory & Applications
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Non‐Intrusive Short‐Term Load Forecasting Based on VMD‐CNN‐BiLSTM
Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
sub_discipline_display Technology & Engineering — Aerospace & Applied Tech
sub_discipline_facet Technology & Engineering — Aerospace & Applied Tech
subject_display Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
subject_facet Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
title Non‐Intrusive Short‐Term Load Forecasting Based on VMD‐CNN‐BiLSTM
title_auth Non‐Intrusive Short‐Term Load Forecasting Based on VMD‐CNN‐BiLSTM
title_full Non‐Intrusive Short‐Term Load Forecasting Based on VMD‐CNN‐BiLSTM
title_fullStr Non‐Intrusive Short‐Term Load Forecasting Based on VMD‐CNN‐BiLSTM
title_full_unstemmed Non‐Intrusive Short‐Term Load Forecasting Based on VMD‐CNN‐BiLSTM
title_short Non‐Intrusive Short‐Term Load Forecasting Based on VMD‐CNN‐BiLSTM
title_sort non‐intrusive short‐term load forecasting based on vmd‐cnn‐bilstm
topic Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cps2.70050?af=R