Estimation of Underground Mv Network Failure Types by Applying Machine Learning Methods to Indirect Observations

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 P-00X-61W
2
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Tipo de Documento
Article
Year published
2022
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in ENERGIES, ISSN: 1996-1073
Volume: 15, Número: 17
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SCOPUS: 2-s2.0-85137862207
Wos: WOS:000851031000001
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ISSN: 1996-1073
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