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Power Quality Disturbances Characterization Using Signal Processing and Pattern Recognition Techniqu...

Power Quality Disturbances Characterization Using Signal Processing and Pattern Recognition Techniqu...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d3645844d9374fe8b6ed2269a74ab294

Power Quality Disturbances Characterization Using Signal Processing and Pattern Recognition Techniques: A Comprehensive Review

About this item

Full title

Power Quality Disturbances Characterization Using Signal Processing and Pattern Recognition Techniques: A Comprehensive Review

Publisher

Basel: MDPI AG

Journal title

Energies (Basel), 2023-03, Vol.16 (6), p.2685

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Several factors affect existing electric power systems and negatively impact power quality (PQ): the high penetration of renewable and distributed sources that are based on power converters with or without energy storage, non-linear and unbalanced loads, and the deployment of electric vehicles. In addition, the power grid needs more improvement in...

Alternative Titles

Full title

Power Quality Disturbances Characterization Using Signal Processing and Pattern Recognition Techniques: A Comprehensive Review

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d3645844d9374fe8b6ed2269a74ab294

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d3645844d9374fe8b6ed2269a74ab294

Other Identifiers

ISSN

1996-1073

E-ISSN

1996-1073

DOI

10.3390/en16062685

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