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Application of Clustering and Dimensionality Reduction Methods for Finding Patterns on Supraharmonics Data
Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Energivetenskap.ORCID-id: 0000-0001-6074-8633
Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Energivetenskap.ORCID-id: 0000-0001-5558-7708
Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Energivetenskap.ORCID-id: 0000-0001-5845-5620
Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Energivetenskap.ORCID-id: 0000-0002-4004-0352
2022 (engelsk)Inngår i: 2022 20th International Conference on Harmonics & Quality of Power (ICHQP) Proceedings: “Power Quality in the Energy Transition”, IEEE, 2022Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Supraharmonics (waveform distortion between 2 and 150 kHz) proliferate in electrical installations due to the increasing use of power electronics converters and power-line communication. Due to the wide range that the supraharmonics cover and the high frequency resolution needed to measure them, a considerable amount of data is acquired. The analysis is usually done manually by experts. More efficient methods for data mapping and analysis are needed. Machine learning methods are explored in this paper for the analysis of supraharmonics data.

sted, utgiver, år, opplag, sider
IEEE, 2022.
Serie
International Conference on Harmonics and Quality of Power, ISSN 1540-6008, E-ISSN 2164-0610
Emneord [en]
clustering, data analysis, high-frequency harmonics, machine learning, power quality, supraharmonics
HSV kategori
Forskningsprogram
Elkraftteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-92099DOI: 10.1109/ICHQP53011.2022.9808529ISI: 000844604500016Scopus ID: 2-s2.0-85133753205OAI: oai:DiVA.org:ltu-92099DiVA, id: diva2:1681741
Konferanse
20th International Conference on Harmonics & Quality of Power (ICHQP 2022), Naples, Italy, May 29 - June 1, 2022
Forskningsfinansiär
Swedish Energy Agency, 43090-2, 42979-1
Merknad

ISBN för värdpublikation: 978-1-6654-1639-9

Tilgjengelig fra: 2022-07-07 Laget: 2022-07-07 Sist oppdatert: 2023-09-05bibliografisk kontrollert

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Espin Delgado, AngelaSutaria, Jilde Oliveira, Roger AlvesRönnberg, Sarah

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