Recent Trends and Issues of Energy Management Systems Using Machine Learning
Recent Trends and Issues of Energy Management Systems Using Machine Learning
About this item
Full title
Author / Creator
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Energy management systems (EMSs) are regarded as essential components within smart grids. In pursuit of efficiency, reliability, stability, and sustainability, an integrated EMS empowered by machine learning (ML) has been addressed as a promising solution. A comprehensive review of current literature and trends has been conducted with a focus on ke...
Alternative Titles
Full title
Recent Trends and Issues of Energy Management Systems Using Machine Learning
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_7e6332e2e07c48958869aad52823bb34
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7e6332e2e07c48958869aad52823bb34
Other Identifiers
ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en17030624
