PROYECTOS
OBTENCIÓN DE MODELOS DINÁMICOS UTILIZANDO TÉCNICAS DE PROYECCIÓN PARA MEJORAR LA EFICIENCIA ENERGÉTICA EN EDIFICIOS DEL SECTOR TERCIARIO (ULE2009-4)
Entidad financiadora: Universidad de León.
Fecha de inicio: 23/02/2010
Duración: 1 año
DESARROLLO DE METODOLOGÍAS DE REPRESENTACIÓN VISUAL DE LA DINÁMICA ORIENTADAS A LA SUPERVISION INTEGRAL Y DESLOCALIZADA DE PROCESOS INDUSTRIALES (DPI2006-13477-C02-02)
Entidad financiadora: Ministerio de Ciencia y Tecnología.
Duración, concedido Julio de 2006 (3 años).
testeo de equipamiento y la formación de profesionales en nuevas tecnologías de Automatización Industrial y Gestión Energética en Edificios implantadas por Schneider Electric.
Convenio: SCHNEIDER ELECTRIC España S.A.
Convenio para el testeo de equipamiento y la formación de profesionales en las nuevas tecnologías de Automatización Industrial y Gestión Energética en Edificios implantadas por Schneider Electric.
Instituto Schneider Electric de Formación (ISEF).
Duración: 2011 hasta: actualidad.
Suministro, montaje y puesta en marcha de equipos de medida de consumo y calidad de la energía eléctrica
COMPLEJO ASISTENCIAL UNIVERSITARIO DE LEÓN (HOSPITAL DE LEÓN).
Suministro, montaje y puesta en marcha de equipos de medida de consumo y calidad de la energía eléctrica en el Hospital Universitario de León.
Fecha de inicio: 1 de Octubre del 2016.
Duración: 1 año.
Prestación del servicio de soporte técnico para gestión y mantenimiento de los sistemas de control de las instalaciones de producción de agua enfriada
Convenio: Complejo Asistencial Universitario de León (Hospital de León).
Prestación del servicio de soporte técnico para gestión y mantenimiento de los sistemas de control de las instalaciones de producción de agua enfriada del Complejo Asistencial Universitario de León (Hospital de León).
Duración: 16 de Febrero del 2015 al 31 de Diciembre del 2015.
Proyecto de supervisión y control de las instalaciones de climatización en varios edificios
Proyecto de ingeniería.
Proyecto de supervisión y control de las instalaciones de climatización en varios edificios (Fase I, II y III) en la planta gasística YPF en Sta. Cruz de la Sierra (Bolivia). Programación del control equipos Schneider-Electric.
Fechas realización: 24 de Noviembre del 2014 al 4 de Febrero del 2015
Prestación de captación de datos, estudio y análisis de perfiles de consumo eléctrico
Convenio: Complejo Asistencial Universitario de León (Hospital de León).
Prestación de captación de datos, estudio y análisis de perfiles de consumo eléctrico del Complejo Asistencial Universitario de León (Hospital de León).
Duración: 1 de Marzo del 2014 al 31 de Octubre del 2014.
Servicio de soporte técnico para gestión y mantenimiento de los sistemas de control de las instalaciones de producción de agua enfriada
Convenio: Complejo Asistencial Universitario de León (Hospital de León).
Servicio de soporte técnico para gestión y mantenimiento de los sistemas de control de las instalaciones de producción de agua enfriada.
Duración: 16 de Julio del 2013 hasta 15 de Julio del 2014.
Proyecto de diseño y puesta en marcha del sistema de control y supervisión de climatización
Proyecto de ingeniería
Proyecto de diseño y puesta en marcha del sistema de control y supervisión de climatización en las oficinas del hospital de Montecelo (Pontevedra). Programación del control equipos Schneider-Electric
Fechas realización: 1 de Mayo del 2014 al 6 de Junio del 2014.
Estudio y optimización de sistemas de supervisión y control para mejorar la eficiencia energética
Convenio: Universidad de León
Estudio y optimización de sistemas de supervisión y control para mejorar la eficiencia energética en las instalaciones de la Universidad de León. Apoyo técnico al sistema de telegestión del consumo energético en las instalaciones de la Universidad de León.
Desde: 1 de Diciembre de 2010 hasta el 31 de Diciembre de 2013.
Modernización del centro de control del CEDEA del Instituto Nacional de Técnica Aeroespacial (INTA).
Contrato de investigación
Modernización del centro de control del CEDEA (Centro de Experimentación del Arenosillo) del Instituto Nacional de Técnica Aeroespacial (INTA).
Entidades participantes: Instituto Nacional de Técnica Aeroespacial (INTA), Ingeniería y Servicios Aeroespaciales (INSA S.A.).
Fecha:01 de Enero del 2007 al 6 de Julio del 2009.
Informe acústico en las obras en construcción de la empresa BOCSA S.A.
Informe técnico
Informe acústico en las obras en construcción de la empresa BOCSA S.A.
Fechas realización: 1 de Abril del 2006 al 3 de Abril del 2008.
Diseño de Estructura de Supervisión sobre Equipos Opto B3000ENET para Captura de 160 Variables Analógicas con Tiempos de Muestreo Menores o Iguales a 20ms.
Contrato de investigación
Diseño de Estructura de Supervisión sobre Equipos Opto B3000ENET para Captura de 160 Variables Analógicas con Tiempos de Muestreo Menores o Iguales a 20ms.
ENTIDAD FINANCIADORA: Optomation S.A.
DURACIÓN: Desde: 15/12/2004 Hasta: 01/05/2005
N° total de meses: 6.
PUBLICACIONES
2024
Diego García; Daniel Pérez; Panagiotis Papapetrou; Ignacio Díaz; Abel A Cuadrado; José María Enguita; Manuel Domínguez
Conditioned fully convolutional denoising autoencoder for multi-target NILM Journal Article Forthcoming
En: Neural Computing and Applications, Forthcoming, ISSN: 1433-3058.
@article{garcia_conditioned_2024,
title = {Conditioned fully convolutional denoising autoencoder for multi-target NILM},
author = {Diego García and Daniel Pérez and Panagiotis Papapetrou and Ignacio Díaz and Abel A Cuadrado and José María Enguita and Manuel Domínguez},
url = {https://doi.org/10.1007/s00521-024-10552-0},
doi = {10.1007/s00521-024-10552-0},
issn = {1433-3058},
year = {2024},
date = {2024-12-05},
urldate = {2024-12-01},
journal = {Neural Computing and Applications},
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pubstate = {forthcoming},
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}
Serafín Alonso; Antonio Morán; Daniel Pérez; Miguel A Prada; Juan J Fuertes; Manuel Domínguez
Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder Journal Article
En: Integrated Computer-Aided Engineering, vol. 31, iss. 2, pp. 157-172, 2024, ISBN: 1875-8835.
@article{alonso23,
title = {Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder},
author = {Serafín Alonso and Antonio Morán and Daniel Pérez and Miguel A Prada and Juan J Fuertes and Manuel Domínguez},
doi = {10.3233/ICA-230728},
isbn = {1875-8835},
year = {2024},
date = {2024-01-30},
urldate = {2024-00-00},
journal = {Integrated Computer-Aided Engineering},
volume = {31},
issue = {2},
pages = {157-172},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2023
Serafín Alonso; Antonio Morán; Daniel Pérez; Miguel A Prada; Juan J Fuertes; Manuel Domínguez
Hierarchical Prediction in Incomplete Submetering Systems Using a CNN Proceedings Article
En: Engineering Applications of Neural Networks, pp. 239–250, Springer Nature Switzerland, Cham, 2023, ISBN: 978-3-031-34204-2.
@inproceedings{10.1007/978-3-031-34204-2_21,
title = {Hierarchical Prediction in Incomplete Submetering Systems Using a CNN},
author = {Serafín Alonso and Antonio Morán and Daniel Pérez and Miguel A Prada and Juan J Fuertes and Manuel Domínguez},
doi = {10.1007/978-3-031-34204-2_21},
isbn = {978-3-031-34204-2},
year = {2023},
date = {2023-06-07},
urldate = {2023-06-07},
booktitle = {Engineering Applications of Neural Networks},
pages = {239--250},
publisher = {Springer Nature Switzerland},
address = {Cham},
abstract = {Energy market liberalization brings new opportunities, since large consumers have direct access to energy trading to buy energy for the next day. However, that requires a good estimation of the expected amount of energy and its hourly distribution in advance. On the other hand, smart energy meters are being installed in many facilities with the aim of achieving holistic submetering systems. These systems consist of a set of meters structured in several levels, so that there are hierarchical relations among upstream and downstream meters. This information could be exploited for achieving accurate one-day-ahead energy predictions. However, submetering systems might be incomplete due to unavailable meters or lost energy. In this paper, we propose a hierarchical prediction method for incomplete submetering systems that is based on 2D convolutional neural network (2D CNN) and is able to perform day ahead prediction of power consumption. This method exploits the hierarchical relations among meters and considers periodicity in order to forecast the power consumption for the next day. The proposed hierarchical method has proved to be more accurate and fast to forecast power consumption in incomplete submetering systems than using an individual predictions.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Energy market liberalization brings new opportunities, since large consumers have direct access to energy trading to buy energy for the next day. However, that requires a good estimation of the expected amount of energy and its hourly distribution in advance. On the other hand, smart energy meters are being installed in many facilities with the aim of achieving holistic submetering systems. These systems consist of a set of meters structured in several levels, so that there are hierarchical relations among upstream and downstream meters. This information could be exploited for achieving accurate one-day-ahead energy predictions. However, submetering systems might be incomplete due to unavailable meters or lost energy. In this paper, we propose a hierarchical prediction method for incomplete submetering systems that is based on 2D convolutional neural network (2D CNN) and is able to perform day ahead prediction of power consumption. This method exploits the hierarchical relations among meters and considers periodicity in order to forecast the power consumption for the next day. The proposed hierarchical method has proved to be more accurate and fast to forecast power consumption in incomplete submetering systems than using an individual predictions.
Diego García; Daniel Pérez; Panagiotis Papapetrou; Ignacio Díaz; Abel A Cuadrado; José María Enguita; Ana González; Manuel Domínguez
Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation Proceedings Article
En: IFIP International Conference on Artificial Intelligence Applications and Innovations, pp. 421–433, Springer Nature Switzerland, Cham, 2023, ISBN: 978-3-031-34204-2.
@inproceedings{Garcia2023conditioned,
title = {Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation},
author = {Diego García and Daniel Pérez and Panagiotis Papapetrou and Ignacio Díaz and Abel A Cuadrado and José María Enguita and Ana González and Manuel Domínguez},
doi = {10.1007/978-3-031-34171-7_34},
isbn = {978-3-031-34204-2},
year = {2023},
date = {2023-06-07},
urldate = {2023-06-07},
booktitle = {IFIP International Conference on Artificial Intelligence Applications and Innovations},
pages = {421–433},
publisher = {Springer Nature Switzerland},
address = {Cham},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2022
Serafín Alonso; Antonio Morán; Daniel Pérez; Miguel A Prada; Juan J Fuertes; Manuel Domínguez
Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network Proceedings Article
En: Communications in Computer and Information Science, pp. 247-259, Springer Science and Business Media Deutschland GmbH, 2022, ISSN: 1865-0937.
@inproceedings{alonso2022Reconstructing,
title = {Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network},
author = {Serafín Alonso and Antonio Morán and Daniel Pérez and Miguel A Prada and Juan J Fuertes and Manuel Domínguez},
doi = {10.1007/978-3-031-08223-8_21},
issn = {1865-0937},
year = {2022},
date = {2022-06-10},
urldate = {2022-01-01},
booktitle = {Communications in Computer and Information Science},
volume = {1600 CCIS},
pages = {247-259},
publisher = {Springer Science and Business Media Deutschland GmbH},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2021
Serafín Alonso; Antonio Morán; Daniel Pérez; Miguel A Prada; Juan J Fuertes; Manuel Domínguez
Virtual Sensor for Probabilistic Estimation of the Evaporation in Cooling Towers Journal Article
En: Integrated Computer-Aided Engineering, vol. 28, no 4, pp. 369-381, 2021.
@article{alonso21,
title = {Virtual Sensor for Probabilistic Estimation of the Evaporation in Cooling Towers},
author = {Serafín Alonso and Antonio Morán and Daniel Pérez and Miguel A Prada and Juan J Fuertes and Manuel Domínguez},
doi = {10.3233/ICA-210654},
year = {2021},
date = {2021-08-27},
journal = {Integrated Computer-Aided Engineering},
volume = {28},
number = {4},
pages = {369-381},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Diego García; Daniel Pérez; Ignacio Díaz; Ana González; Manuel Domínguez; Abel A Cuadrado
Fully-Convolutional Denoising Auto-Encoders for NILM in Large Non-Residential Buildings Journal Article
En: IEEE Transactions on Smart Grid, vol. 12, no 3, pp. 2722 – 2731, 2021, (Cited by: 38).
@article{GarciaPerez2021,
title = {Fully-Convolutional Denoising Auto-Encoders for NILM in Large Non-Residential Buildings},
author = {Diego García and Daniel Pérez and Ignacio Díaz and Ana González and Manuel Domínguez and Abel A Cuadrado},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099087289&doi=10.1109%2fTSG.2020.3047712&partnerID=40&md5=3de9b98c830097ee3f4a848db27d3a72},
doi = {10.1109/TSG.2020.3047712},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {IEEE Transactions on Smart Grid},
volume = {12},
number = {3},
pages = {2722 – 2731},
note = {Cited by: 38},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2020
Serafín Alonso; Antonio Morán; Daniel Pérez; Miguel A Prada; Ignacio Díaz; Manuel Domínguez
Estimating cooling production and monitoring efficiency in chillers using a soft sensor Journal Article
En: Neural Computing and Applications, vol. 32, no 23, pp. 17291–17308, 2020.
@article{alonso2020estimating,
title = {Estimating cooling production and monitoring efficiency in chillers using a soft sensor},
author = { Serafín Alonso and Antonio Morán and Daniel Pérez and Miguel A Prada and Ignacio Díaz and Manuel Domínguez},
doi = {10.1007/s00521-020-05165-2},
year = {2020},
date = {2020-01-01},
journal = {Neural Computing and Applications},
volume = {32},
number = {23},
pages = {17291--17308},
publisher = {Springer London},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Antonio Morán; Serafín Alonso; Daniel Pérez; Miguel A Prada; Juan J Fuertes; Manuel Domínguez
Feature Extraction from Building Submetering Networks Using Deep Learning Journal Article
En: Sensors, vol. 20, no 13, pp. 3665, 2020.
@article{moran2020feature,
title = {Feature Extraction from Building Submetering Networks Using Deep Learning},
author = { Antonio Morán and Serafín Alonso and Daniel Pérez and Miguel A Prada and Juan J Fuertes and Manuel Domínguez},
doi = {10.3390/s20133665},
year = {2020},
date = {2020-01-01},
journal = {Sensors},
volume = {20},
number = {13},
pages = {3665},
publisher = {Multidisciplinary Digital Publishing Institute},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Serafín Alonso; Antonio Morán; Daniel Pérez; Miguel A Prada; Juan J Fuertes; Manuel Domínguez
Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network Proceedings Article
En: International Conference on Engineering Applications of Neural Networks, pp. 155–166, Springer, Cham 2020.
@inproceedings{alonso2020probabilistic,
title = {Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network},
author = { Serafín Alonso and Antonio Morán and Daniel Pérez and Miguel A Prada and Juan J Fuertes and Manuel Domínguez},
doi = {10.1007/978-3-030-48791-1_11},
year = {2020},
date = {2020-01-01},
booktitle = {International Conference on Engineering Applications of Neural Networks},
pages = {155--166},
organization = {Springer, Cham},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2019
Serafín Alonso; Antonio Morán; Miguel A Prada; Perfecto Reguera; Juan J Fuertes; Manuel Domínguez
A Data-Driven Approach for Enhancing the Efficiency in Chiller Plants Journal Article
En: Energies, vol. 12, no 5, pp. 827-827, 2019, ISSN: 1996-1073.
@article{Alonso2019b,
title = {A Data-Driven Approach for Enhancing the Efficiency in Chiller Plants},
author = {Serafín Alonso and Antonio Morán and Miguel A Prada and Perfecto Reguera and Juan J Fuertes and Manuel Domínguez },
doi = {10.3390/en12050827},
issn = {1996-1073},
year = {2019},
date = {2019-09-01},
booktitle = {A Hospital Case Study, Energies, Multidisciplinary Digital Publishing Instittute},
journal = {Energies},
volume = {12},
number = {5},
pages = {827-827},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Serafín Alonso; Daniel Pérez; Juan J Fuertes; Ignacio Díaz; Manuel Domínguez
A deep learning approach for fusing sensor data from screw compressors Journal Article
En: Sensors, vol. 19, no 13, 2019, ISSN: 1424-8220.
@article{Alonso2019c,
title = {A deep learning approach for fusing sensor data from screw compressors},
author = {Serafín Alonso and Daniel Pérez and Juan J Fuertes and Ignacio Díaz and Manuel Domínguez },
doi = {10.3390/s19132868},
issn = {1424-8220},
year = {2019},
date = {2019-09-01},
journal = {Sensors},
volume = {19},
number = {13},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Serafín Alonso; Antonio Morán; Daniel Pérez; Perfecto Reguera; Ignacio Díaz; Manuel Domínguez
Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers Proceedings Article
En: Communications in Computer and Information Science, International Conference on Engineering Applications of Neural Networks, pp. 307-319, EANN2019 Springer, 2019, ISBN: 978-3-030-20257-6.
@inproceedings{Alonso2019,
title = {Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers},
author = {Serafín Alonso and Antonio Morán and Daniel Pérez and Perfecto Reguera and Ignacio Díaz and Manuel Domínguez},
doi = {10.1007/978-3-030-20257-6_26},
isbn = {978-3-030-20257-6},
year = {2019},
date = {2019-05-15},
booktitle = {Communications in Computer and Information Science, International Conference on Engineering Applications of Neural Networks},
pages = {307-319},
publisher = {Springer},
organization = {EANN2019},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Gonzalo Vergara; Juan J Carrasco; Jesus Martínez-Gómez; Manuel Domínguez; José A Gámez; Emilio Soria-Olivas
Global and Local Clustering-Based Regression Models to Forecast Power Consumption in Buildings Proceedings Article
En: Architecture and Design: Breakthroughs in Research and Practice , pp. 506-536, IGI Global, 2019.
@inproceedings{Vergara2019,
title = {Global and Local Clustering-Based Regression Models to Forecast Power Consumption in Buildings},
author = {Gonzalo Vergara and Juan J Carrasco and Jesus Martínez-Gómez and Manuel Domínguez and José A Gámez and Emilio Soria-Olivas },
doi = {10.1018/978-1-5225-7314-2.ch018},
year = {2019},
date = {2019-02-21},
booktitle = {Architecture and Design: Breakthroughs in Research and Practice },
pages = {506-536},
publisher = {IGI Global},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2018
Diego García; Ignacio Díaz; Daniel Pérez; Abel A Cuadrado; Manuel Domínguez; Antonio Morán
Interactive visualization for NILM in large buildings using non-negative matrix factorization Journal Article
En: Energy and Buildings, vol. 176, pp. 95 - 108, 2018, ISSN: 0378-7788.
@article{García2018,
title = {Interactive visualization for NILM in large buildings using non-negative matrix factorization},
author = {Diego García and Ignacio Díaz and Daniel Pérez and Abel A Cuadrado and Manuel Domínguez and Antonio Morán},
doi = {10.1016/j.enbuild.2018.06.058},
issn = {0378-7788},
year = {2018},
date = {2018-10-01},
journal = {Energy and Buildings},
volume = {176},
pages = {95 - 108},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2017
Diego García; Ignacio Díaz; Daniel Pérez; Abel A Cuadrado; Manuel Domínguez
Latent variable analysis in hospital electric power demand using non-negative matrix factorization Proceedings Article
En: Proceedings of ESANN 2017, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp. 507-512, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2017.
@inproceedings{García2017,
title = {Latent variable analysis in hospital electric power demand using non-negative matrix factorization },
author = {Diego García and Ignacio Díaz and Daniel Pérez and Abel A Cuadrado and Manuel Domínguez },
year = {2017},
date = {2017-08-12},
booktitle = {Proceedings of ESANN 2017, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning},
pages = {507-512},
edition = {25th},
organization = {European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Ignacio Díaz; Abel A Cuadrado; Daniel Pérez; Manuel Domínguez; Serafín Alonso; Miguel A Prada
Energy analytics in public buildings using interactive histograms Journal Article
En: Energy and Buildings, vol. 134, pp. 94–104, 2017, ISSN: 0378-7788.
@article{diaz2017,
title = {Energy analytics in public buildings using interactive histograms},
author = {Ignacio Díaz and Abel A Cuadrado and Daniel Pérez and Manuel Domínguez and Serafín Alonso and Miguel A Prada},
doi = {10.1016/j.enbuild.2016.10.026},
issn = {0378-7788},
year = {2017},
date = {2017-01-01},
journal = {Energy and Buildings},
volume = {134},
pages = {94--104},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Antonio Morán; Serafín Alonso; Miguel A Prada; Juan J Fuertes; Ignacio Díaz; Manuel Domínguez
Analysis of Parallel Process in HVAC Systems Using Deep Autoencoders Proceedings Article
En: Giacomo Boracchi; Lazaros Iliadis; Chrisina Jayne; Aristidis Likas (Ed.): Engineering Applications of Neural Networks, pp. 15–26, Springer International Publishing, 2017, ISBN: 978-3-319-65172-9.
@inproceedings{moran2017,
title = {Analysis of Parallel Process in HVAC Systems Using Deep Autoencoders},
author = {Antonio Morán and Serafín Alonso and Miguel A Prada and Juan J Fuertes and Ignacio Díaz and Manuel Domínguez},
editor = {Giacomo Boracchi and Lazaros Iliadis and Chrisina Jayne and Aristidis Likas},
doi = {10.1007/978-3-319-65172-9_2},
isbn = {978-3-319-65172-9},
year = {2017},
date = {2017-01-01},
booktitle = {Engineering Applications of Neural Networks},
pages = {15--26},
publisher = {Springer International Publishing},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2015
Serafín Alonso; Miguel A Prada; Juan J Fuertes; Ignacio Díaz; Manuel Domínguez
Analysis of Electricity Bill Data Using Interactive Dimensionality Reduction Proceedings Article
En: Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS), pp. 3:1–3:7, ACM, Rhodes, Greece, 2015, ISBN: 978-1-4503-3580-5.
@inproceedings{Alonso15,
title = {Analysis of Electricity Bill Data Using Interactive Dimensionality Reduction},
author = {Serafín Alonso and Miguel A Prada and Juan J Fuertes and Ignacio Díaz and Manuel Domínguez},
url = {http://doi.acm.org/10.1145/2797143.2797163},
doi = {10.1145/2797143.2797163},
isbn = {978-1-4503-3580-5},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS)},
pages = {3:1--3:7},
publisher = {ACM},
address = {Rhodes, Greece},
series = {EANN '15},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Manuel Domínguez; Serafín Alonso; Antonio Morán; Miguel A Prada; Juan J Fuertes
Dimensionality reduction techniques to analyze heating systems in buildings Journal Article
En: Information Sciences, vol. 294, pp. 553–564, 2015.
@article{dominguez2015dimensionality,
title = {Dimensionality reduction techniques to analyze heating systems in buildings},
author = {Manuel Domínguez and Serafín Alonso and Antonio Morán and Miguel A Prada and Juan J Fuertes},
doi = {10.1016/j.ins.2014.06.029},
year = {2015},
date = {2015-01-01},
journal = {Information Sciences},
volume = {294},
pages = {553--564},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2014
Daniel Pérez; Ignacio Díaz; Abel A Cuadrado; Francisco J García; Alberto B Díez; Manuel Domínguez
Power-Consumption Analysis through Web-Based Visual Data Exploration Proceedings Article
En: World Congress, pp. 11257–11262, 2014.
@inproceedings{perez2014power,
title = {Power-Consumption Analysis through Web-Based Visual Data Exploration},
author = {Daniel Pérez and Ignacio Díaz and Abel A Cuadrado and Francisco J García and Alberto B Díez and Manuel Domínguez},
doi = {10.3182/20140824-6-ZA-1003.01267},
year = {2014},
date = {2014-01-01},
booktitle = {World Congress},
volume = {19},
number = {1},
pages = {11257--11262},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2013
Pablo Barrientos; Carlos Del J Canto; Antonio Morán; Serafín Alonso; Miguel A Prada; Juan J Fuertes; Manuel Domínguez
Analysis of Heating Systems in Buildings Using Self-Organizing Maps Proceedings Article
En: Lazaros Iliadis; Harris Papadopoulos; Chrisina Jayne (Ed.): Engineering Applications of Neural Networks, pp. 370–379, Springer, Heidelberg, 2013, ISBN: 978-3-642-41012-3.
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Manuel Domínguez; Juan J Fuertes; Serafín Alonso; Miguel A Prada; Antonio Morán; Pablo Barrientos
Power monitoring system for university buildings: Architecture and advanced analysis tools Journal Article
En: Energy and Buildings, vol. 59, no 0, pp. 152 - 160, 2013, ISSN: 0378-7788.
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Fernando Mateo; Juan J Carrasco; Abderrahim Sellami; Mónica Millán; Manuel Domínguez; Ignacio Díaz; Emilio Soria
Machine learning methods to forecast temperature in buildings Journal Article
En: Expert Systems with Applications, vol. 40, no 4, pp. 1061–1068, 2013.
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Antonio Morán; Juan J Fuertes; Manuel Domínguez; Miguel A Prada; Serafín Alonso; Pablo Barrientos
Analysis of electricity bills using visual continuous maps Journal Article
En: Neural Computing and Applications, pp. 1-11, 2013, ISSN: 0941-0643.
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Antonio Morán; Juan J Fuertes; Miguel A Prada; Serafín Alonso; Pablo Barrientos; Ignacio Díaz; Manuel Domínguez
Analysis of electricity consumption profiles in public buildings with dimensionality reduction techniques Journal Article
En: Engineering Applications of Artificial Intelligence, vol. 26, no 8, pp. 1872 - 1880, 2013, ISSN: 0952-1976.
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2012
Antonio Morán
Análisis y predicción de perfiles de consumo energético en edificios públicos mediante técnicas de minería de datos PhD Thesis
Universidad de Oviedo, 2012.
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Serafín Alonso
Supervision de la energía eléctrica en edificios públicos de uso docente basada en técnicas de minería de datos visual PhD Thesis
Universidad de Oviedo, 2012.
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Serafín Alonso; Alberto B Díez; Manuel Domínguez
Supervisión de la energía eléctrica en edificios públicos de uso docente basada en técnicas de minería de datos visual Proceedings Article
En: X Simposio de Ingeniería de Control, Barcelona, 2012.
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Serafín Alonso; Antonio Morán; Miguel A Prada; Pablo Barrientos; Manuel Domínguez
Monitoring Power Consumption using a Generalized Variant of Self-Organizing Map (SOM) Journal Article
En: International Journal of Modern Physics B, vol. 26, no 25, 2012.
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Manuel Domínguez; Juan J Fuertes; Serafín Alonso; Miguel A Prada; Antonio Morán; Pablo Barrientos
Advanced tools for electricity consumption monitoring Proceedings Article
En: Environment European Association for the Development of Renewable Energies; Power Quality (EA4EPQ) (Ed.): International Conference on Renewable Energies and Power Quality (ICREPQ12), Santiago de Compostela, 2012.
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Antonio Morán; Juan J Fuertes; Abel A Cuadrado; Miguel A Prada; Serafín Alonso; Manuel Domínguez
Análisis de perfiles de consumo energético en edificios de uso docente utilizando técnicas de reducción de la dimensión. Proceedings Article
En: Proceedings of the VIII Simposio CEA de Control Inteligente, Baiona, España, 2012.
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Antonio Morán; Juan J Fuertes; Manuel Domínguez; Miguel A Prada; Serafín Alonso; Pablo Barrientos
Visual continuous map for electrical bill comparisons Proceedings Article
En: Proceedings of the 10th Portuguese Conference on Automatic Control, Funchal, Portugal, 2012.
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Antonio Morán; Juan J Fuertes; Miguel A Prada; Serafín Alonso; Pablo Barrientos; Manuel Domínguez; Ignacio Díaz
Analysis of electricity consumption profiles by means of dimensionality reduction techniques Book Section
En: Chrisina Jayne; Shigang Yue; Lazaros Iliadis (Ed.): Engineering Applications of Neural Networks, vol. 311, Springer Berlin / Heidelberg, 2012.
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Antonio Morán; Miguel A Prada; Serafín Alonso; Pablo Barrientos; Juan J Fuertes; Manuel Domínguez; Ignacio Díaz
Two-stage approach for electricity consumption forecasting in public buildings Book Section
En: Jaakko Hollmén; Frank Klawonn; Allan Tucker (Ed.): Advances in Intelligent Data Analysis XI, vol. 7619, pp. 219-229, Springer Berlin / Heidelberg, 2012.
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2011
Juan J Fuertes; Manuel Domínguez; Serafín Alonso; Miguel A Prada; Antonio Morán; Pablo Barrientos
Sistema de supervisión de energía eléctrica en la Universidad de León. Proceedings Article
En: XXXII Jornadas de Automática, Sevilla, 2011.
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Daniel Pérez; Ignacio Díaz; Francisco J García; Pablo Barrientos
Visualization of Power Systems Consumptions by Manifold Learning. Proceedings Article
En: Physcon 2011, 5th International Scientific Conference on Physics and Control, 2011.
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Manuel Domínguez; Juan J Fuertes; Ignacio Díaz; Abel A Cuadrado; Serafín Alonso; Antonio Morán
Analysis of Electric Power Consumption Using Self-Organizing Maps Proceedings Article
En: Proceedings of the 8th World Congress of the International Federation of Automatic Control (IFAC 2011), Milán, Italia, 2011.
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Serafín Alonso; Manuel Domínguez; Miguel A Prada; Mika Sulkava; Jaakko Hollmén
Comparative analysis of power consumption in university buildings using envSOM. Book Section
En: Advances in Intelligent Data Analysis, IDA 2011, vol. 7014, pp. 10-21, Spri, Porto, 2011.
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Serafín Alonso; Antonio Morán; Miguel A Prada; Pablo Barrientos; Manuel Domínguez
A variant of self-organizing map (SOM) for monitoring power consumption. Proceedings Article
En: Physcon 2011, 5th International Scientific Conference on Physics and Control, 2011.
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