Hasil Pencarian - Miguel Martínez-Comesaña

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  1. 1
    Prediction of Building’s Thermal Performance Using LSTM and MLP Neural Networks

    Prediction of Building’s Thermal Performance Using LSTM and MLP Neural Networks oleh Miguel Martínez Comesaña, Lara Febrero-Garrido, Francisco Troncoso-Pastoriza, Javier Martínez-Torres

    Diterbitkan 2020-10-01
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  2. 2
    Estimating mobility of tourists. New Twitter-based procedure

    Estimating mobility of tourists. New Twitter-based procedure oleh Pilar Muñoz-Dueñas, Miguel Martínez-Comesaña, Javier Martínez-Torres, Guillermo Bastos-Costas

    Diterbitkan 2023-02-01
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  3. 3
    Load Forecasting with Machine Learning and Deep Learning Methods

    Load Forecasting with Machine Learning and Deep Learning Methods oleh Moisés Cordeiro-Costas, Daniel Villanueva, Pablo Eguía-Oller, Miguel Martínez-Comesaña, Sérgio Ramos

    Diterbitkan 2023-07-01
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  4. 4
    Heat Loss Coefficient Estimation Applied to Existing Buildings through Machine Learning Models

    Heat Loss Coefficient Estimation Applied to Existing Buildings through Machine Learning Models oleh Miguel Martínez-Comesaña, Lara Febrero-Garrido, Enrique Granada-Álvarez, Javier Martínez-Torres, Sandra Martínez-Mariño

    Diterbitkan 2020-12-01
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  5. 5
    A Functional Data Analysis for Assessing the Impact of a Retrofitting in the Energy Performance of a Building

    A Functional Data Analysis for Assessing the Impact of a Retrofitting in the Energy Performance of a Building oleh Miguel Martínez Comesaña, Sandra Martínez Mariño, Pablo Eguía Oller, Enrique Granada Álvarez, Aitor Erkoreka González

    Diterbitkan 2020-04-01
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  6. 6
    Application of Functional Data Analysis and FTIR-ATR Spectroscopy to Discriminate Wine Spirits Ageing Technologies

    Application of Functional Data Analysis and FTIR-ATR Spectroscopy to Discriminate Wine Spirits Ageing Technologies oleh Ofélia Anjos, Miguel Martínez Comesaña, Ilda Caldeira, Soraia Inês Pedro, Pablo Eguía Oller, Sara Canas

    Diterbitkan 2020-06-01
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  7. 7
    A Functional Data Analysis Approach for the Detection of Air Pollution Episodes and Outliers: A Case Study in Dublin, Ireland

    A Functional Data Analysis Approach for the Detection of Air Pollution Episodes and Outliers: A Case Study in Dublin, Ireland oleh Javier Martínez Torres, Jorge Pastor Pérez, Joaquín Sancho Val, Aonghus McNabola, Miguel Martínez Comesaña, John Gallagher

    Diterbitkan 2020-02-01
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