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A forecasting methodology based on second-generation wavelets and neural networks: application to power transformer oil temperature.

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Title: A forecasting methodology based on second-generation wavelets and neural networks: application to power transformer oil temperature.
Authors: Bezerra, Francisco Elânio1 (AUTHOR), Di Santo, Silvio Giuseppe1 (AUTHOR), Junior, Giovanni Manassero1 (AUTHOR), Tiferes, Rodrigo Rozenblit1 (AUTHOR) rodrigo.tiferes@usp.br, da Rocha Albertini, Alvaro1 (AUTHOR), Santos, Gabriel Rodrigues1 (AUTHOR)
Source: Electrical Engineering. Jun2024, Vol. 106 Issue 3, p3017-3029. 13p.
Database: Academic Search Ultimate
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An: 177463059
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  Data: A forecasting methodology based on second-generation wavelets and neural networks: application to power transformer oil temperature.
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  Data: <searchLink fieldCode="JN" term="%22Electrical+Engineering%22">Electrical Engineering</searchLink>. Jun2024, Vol. 106 Issue 3, p3017-3029. 13p.
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RecordInfo BibRecord:
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        Value: 10.1007/s00202-023-02134-5
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 3017
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      – TitleFull: A forecasting methodology based on second-generation wavelets and neural networks: application to power transformer oil temperature.
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            NameFull: Bezerra, Francisco Elânio
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            NameFull: Di Santo, Silvio Giuseppe
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            NameFull: Junior, Giovanni Manassero
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            NameFull: Tiferes, Rodrigo Rozenblit
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            NameFull: da Rocha Albertini, Alvaro
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            NameFull: Santos, Gabriel Rodrigues
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            – D: 01
              M: 06
              Text: Jun2024
              Type: published
              Y: 2024
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