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Abnormal Power Usage Detection: A Metrics‐Based Scheme for Low Sampling Data

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Bibliographic Details
Published in:Electronics Letters
Format: Online Article RSS Article
Published: 2025
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container_title Electronics Letters
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:31127
institution FRELIP
journal_source_facet Electronics Letters
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Abnormal Power Usage Detection: A Metrics‐Based Scheme for Low Sampling Data
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 Abnormal Power Usage Detection: A Metrics‐Based Scheme for Low Sampling Data
title_auth Abnormal Power Usage Detection: A Metrics‐Based Scheme for Low Sampling Data
title_full Abnormal Power Usage Detection: A Metrics‐Based Scheme for Low Sampling Data
title_fullStr Abnormal Power Usage Detection: A Metrics‐Based Scheme for Low Sampling Data
title_full_unstemmed Abnormal Power Usage Detection: A Metrics‐Based Scheme for Low Sampling Data
title_short Abnormal Power Usage Detection: A Metrics‐Based Scheme for Low Sampling Data
title_sort abnormal power usage detection: a metrics‐based scheme for low sampling data
topic Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ell2.70511?af=R