Browsing by author "Martínez Comesaña, Miguel"

Application of functional data analysis and FTIR-ATR spectroscopy to discriminate wine spirits ageing technologies

Anjos, Ofélia; Martínez Comesaña, Miguel

; Caldeira, Ilda; Pedro, Soraia Inês; Eguía Oller, Pablo

; Canas, Sara
article
Enxeñaría mecánica, máquinas e motores térmicos e fluídos

A functional data analysis approach for the detection of air pollution episodes and outliers: a case study in Dublin, Ireland

Martínez Torres, Javier

; Pastor Pérez, Jorge Juan; Sancho Val, José Joaquín

; McNabola, Aonghus; Martínez Comesaña, Miguel

; Gallagher, John
article
Matemática aplicada I

A functional data analysis for assessing the impact of a retrofitting in the energy performance of a building

Martínez Comesaña, Miguel

; Martínez Mariño, Sandra

; Eguía Oller, Pablo

; Granada Álvarez, Enrique

; Erkoreka González, Aitor
article
Enxeñaría mecánica, máquinas e motores térmicos e fluídos

Heat loss coefficient estimation applied to existing buildings through machine learning models

Martínez Comesaña, Miguel

; Febrero Garrido, Lara

; Granada Álvarez, Enrique

; Martínez Torres, Javier; Martinez Mariño, Sandra

article
Enxeñaría mecánica, máquinas e motores térmicos e fluídos

IoT-based platform for automated IEQ spatio-temporal analysis in buildings using machine learning techniques

Troncoso Pastoriza, Francisco Manuel

; Martínez Comesaña, Miguel

; Ogando Martínez, Ana

; López Gómez, Javier

; Eguía Oller, Pablo

; Febrero Garrido, Lara

article
Enxeñaría mecánica, máquinas e motores térmicos e fluídos

Optimisation of thermal comfort and indoor air quality estimations applied to in-use buildings combining NSGA-III and XGBoost

Martínez Comesaña, Miguel

; Eguía Oller, Pablo

; Martínez Torres, Javier; Febrero Garrido, Lara

; Granada Álvarez, Enrique

article
Enxeñaría mecánica, máquinas e motores térmicos e fluídos

Prediction of building’s thermal performance using LSTM and MLP neural networks

Martínez Comesaña, Miguel

; Febrero Garrido, Lara

; Troncoso Pastoriza, Francisco; Martínez Torres, Javier
article
Enxeñaría mecánica, máquinas e motores térmicos e fluídos

Use of optimised MLP neural networks for spatiotemporal estimation of indoor environmental conditions of existing buildings

Martínez Comesaña, Miguel

; Ogando Martínez, Ana

; Troncoso Pastoriza, Francisco Manuel

; López Gómez, Javier

; Febrero Garrido, Lara

; Granada Álvarez, Enrique

article
Enxeñaría mecánica, máquinas e motores térmicos e fluídos

Browsing by author "Martínez Comesaña, Miguel"

Application of functional data analysis and FTIR-ATR spectroscopy to discriminate wine spirits ageing technologies ﻿

A functional data analysis approach for the detection of air pollution episodes and outliers: a case study in Dublin, Ireland ﻿

A functional data analysis for assessing the impact of a retrofitting in the energy performance of a building ﻿

Heat loss coefficient estimation applied to existing buildings through machine learning models ﻿

IoT-based platform for automated IEQ spatio-temporal analysis in buildings using machine learning techniques ﻿

Optimisation of thermal comfort and indoor air quality estimations applied to in-use buildings combining NSGA-III and XGBoost ﻿

Prediction of building’s thermal performance using LSTM and MLP neural networks ﻿

Use of optimised MLP neural networks for spatiotemporal estimation of indoor environmental conditions of existing buildings ﻿

El Repositorio Institucional de la Universidade de Vigo Investigo se difunde en:

Application of functional data analysis and FTIR-ATR spectroscopy to discriminate wine spirits ageing technologies

A functional data analysis approach for the detection of air pollution episodes and outliers: a case study in Dublin, Ireland

A functional data analysis for assessing the impact of a retrofitting in the energy performance of a building

Heat loss coefficient estimation applied to existing buildings through machine learning models

IoT-based platform for automated IEQ spatio-temporal analysis in buildings using machine learning techniques

Optimisation of thermal comfort and indoor air quality estimations applied to in-use buildings combining NSGA-III and XGBoost

Prediction of building’s thermal performance using LSTM and MLP neural networks

Use of optimised MLP neural networks for spatiotemporal estimation of indoor environmental conditions of existing buildings