An unsupervised learning schema for seeking patterns in rms voltage variations at the sub-10-minute time scale Article Swipe
Younes Mohammadi
,
Seyed Mahdi Miraftabzadeh
,
Math Bollen
,
Michela Longo
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.segan.2022.100773
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.segan.2022.100773
Related Topics
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.segan.2022.100773
- OA Status
- hybrid
- Cited By
- 20
- References
- 54
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4281251422Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.segan.2022.100773Digital Object Identifier
- Title
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An unsupervised learning schema for seeking patterns in rms voltage variations at the sub-10-minute time scaleWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
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2022-05-21Full publication date if available
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Younes Mohammadi, Seyed Mahdi Miraftabzadeh, Math Bollen, Michela LongoList of authors in order
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https://doi.org/10.1016/j.segan.2022.100773Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.segan.2022.100773Direct OA link when available
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Schema (genetic algorithms), Cluster analysis, Computer science, Data mining, Statistics, Forgetting, Pattern recognition (psychology), Artificial intelligence, Mathematics, Machine learning, Psychology, Cognitive psychologyTop concepts (fields/topics) attached by OpenAlex
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20Total citation count in OpenAlex
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2025: 5, 2024: 4, 2023: 6, 2022: 5Per-year citation counts (last 5 years)
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54Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| primary_location.landing_page_url | https://doi.org/10.1016/j.segan.2022.100773 |
| publication_date | 2022-05-21 |
| publication_year | 2022 |
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| referenced_works_count | 54 |
| abstract_inverted_index | |
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| cited_by_percentile_year.min | 97 |
| corresponding_author_ids | https://openalex.org/A5084092310 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I190632392, https://openalex.org/I4210100733 |
| citation_normalized_percentile.value | 0.86235886 |
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| citation_normalized_percentile.is_in_top_10_percent | False |