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16 ta ish

Ish: Tuning hyperparameters of artificial neural networks to solve problems of calculating steady-state modes and electricity losses in distribution networks

  1. Data verification for forecasting of building energy consumption

    Muzaffar Khudayarov, Sarvar Qurbonov

    MaqolaScientific Measurement and Uncertainty EvaluationE3S Web of Conferences20234 iqtibos
    ABI

  2. Estimation of the steady states parameters in open-loop distribution networks based on feedforward neural networks

    Muzaffar Khudayarov, Bahrom Bobonazarov

    MaqolaElectric Power Systems and ControlE3S Web of Conferences20231 iqtibos
    ABI

  3. Elaborate of modern forecasting models for EPS regime parameters

    Kakhraman Allaev, Makhmudov Tokhir, Losev Denis

    MaqolaGlobal Energy Security and PolicyAIP conference proceedings20241 iqtibos
    ABI

  4. Analysis of factors for elaborate forecasting models of EPS regime parameters

    Kakhraman Allaev, Makhmudov Tokhir, Losev Denis

    MaqolaGlobal Energy Security and PolicyAIP conference proceedings20241 iqtibos
    ABI

  5. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

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    Boshqa1 iqtibos
    ABI

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    Boshqa1 iqtibos
    ABI

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    Boshqa1 iqtibos
    ABI

  9. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  10. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  11. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  12. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

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    Boshqa1 iqtibos
    ABI

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    ABI

  15. Sarlavhasiz

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    ABI

  16. Sarlavhasiz

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    ABI