Hasil Pencarian - Ladislav Zjavka

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  1. 1
    Power quality daily predictions in smart off-grids using differential, deep and statistics machine learning models processing NWP-data

    Power quality daily predictions in smart off-grids using differential, deep and statistics machine learning models processing NWP-data oleh Ladislav Zjavka

    Diterbitkan 2023-05-01
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  2. 2
    Power quality approximation for household equipment load combinations using a stepwise growth in input parameters of AI models

    Power quality approximation for household equipment load combinations using a stepwise growth in input parameters of AI models oleh Ladislav Zjavka

    Diterbitkan 2022-11-01
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  3. 3
    Solar and Wind Quantity 24 h—Series Prediction Using PDE-Modular Models Gradually Developed according to Spatial Pattern Similarity

    Solar and Wind Quantity 24 h—Series Prediction Using PDE-Modular Models Gradually Developed according to Spatial Pattern Similarity oleh Ladislav Zjavka

    Diterbitkan 2023-01-01
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  4. 4
    Short-term Power Demand Forecasting using the Differential Polynomial Neural Network

    Short-term Power Demand Forecasting using the Differential Polynomial Neural Network oleh Ladislav Zjavka

    Diterbitkan 2015-04-01
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  5. 5
    Power quality validation in micro off-grid daily load using modular differential, LSTM deep, and probability statistics models processing NWP-data

    Power quality validation in micro off-grid daily load using modular differential, LSTM deep, and probability statistics models processing NWP-data oleh Ladislav Zjavka

    Diterbitkan 2024-12-01
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  6. 6
    Photovoltaic Energy All-Day and Intra-Day Forecasting Using Node by Node Developed Polynomial Networks Forming PDE Models Based on the L-Transformation

    Photovoltaic Energy All-Day and Intra-Day Forecasting Using Node by Node Developed Polynomial Networks Forming PDE Models Based on the L-Transformation oleh Ladislav Zjavka

    Diterbitkan 2021-11-01
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  7. 7
    Wind speed and global radiation forecasting based on differential, deep and stochastic machine learning of patterns in 2-level historical meteo-quantity sets

    Wind speed and global radiation forecasting based on differential, deep and stochastic machine learning of patterns in 2-level historical meteo-quantity sets oleh Ladislav Zjavka

    Diterbitkan 2022-10-01
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  8. 8
    Modelling the Photovoltaic Output Power using the Differential Polynomial Network and Evolutionary Fuzzy Rules

    Modelling the Photovoltaic Output Power using the Differential Polynomial Network and Evolutionary Fuzzy Rules oleh Ladislav Zjavka, Pavel Kromer, Stanislav Mišak, Vaclav Snašel

    Diterbitkan 2017-01-01
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