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AI‐Enabled Predictive Analytics for Wind Turbine Health and Solar Farm Performance Using Distributed Sensor Networks

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Bibliographic Details
Published in:IET Renewable Power Generation
Format: Online Article RSS Article
Published: 2026
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container_title IET Renewable Power Generation
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:22487
institution FRELIP
journal_source_facet IET Renewable Power Generation
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle AI‐Enabled Predictive Analytics for Wind Turbine Health and Solar Farm Performance Using Distributed Sensor Networks
— — — — — Renewal Energy
Petroleum & Energy
Engineering & Technology
sub_discipline_display Petroleum & Energy
sub_discipline_facet Petroleum & Energy
subject_display — — — — — Renewal Energy
Petroleum & Energy
Engineering & Technology
— — — — — Renewal Energy
Petroleum & Energy
Engineering & Technology
subject_facet — — — — — Renewal Energy
Petroleum & Energy
Engineering & Technology
title AI‐Enabled Predictive Analytics for Wind Turbine Health and Solar Farm Performance Using Distributed Sensor Networks
title_auth AI‐Enabled Predictive Analytics for Wind Turbine Health and Solar Farm Performance Using Distributed Sensor Networks
title_full AI‐Enabled Predictive Analytics for Wind Turbine Health and Solar Farm Performance Using Distributed Sensor Networks
title_fullStr AI‐Enabled Predictive Analytics for Wind Turbine Health and Solar Farm Performance Using Distributed Sensor Networks
title_full_unstemmed AI‐Enabled Predictive Analytics for Wind Turbine Health and Solar Farm Performance Using Distributed Sensor Networks
title_short AI‐Enabled Predictive Analytics for Wind Turbine Health and Solar Farm Performance Using Distributed Sensor Networks
title_sort ai‐enabled predictive analytics for wind turbine health and solar farm performance using distributed sensor networks
topic — — — — — Renewal Energy
Petroleum & Energy
Engineering & Technology
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/rpg2.70200?af=R