PROJECTS
OBTAINING DYNAMIC MODELS USING PROJECTION TECHNIQUES TO IMPROVE ENERGY EFFICIENCY IN BUILDINGS OF THE TERTIARY SECTOR (ULE2009-4).
Funding entity: Universidad de León.
Start date: 02/23/2010
Duration: 1 year.
DEVELOPMENT OF METHODOLOGIES OF VISUAL REPRESENTATION OF THE DYNAMICS ORIENTATED TO THE INTEGRAL AND DELOCALIZED SUPERVISION OF INDUSTRIAL PROCESSES (DPI2006-13477-C02-02).
Funding entity: Ministry of Science and Technology.
Duration, granted July 2006 (3 years).
TESTING OF EQUIPMENT AND THE TRAINING OF PROFESSIONALS IN NEW TECHNOLOGIES OF INDUSTRIAL AUTOMATION AND ENERGY MANAGEMENT IN BUILDINGS IMPLANTED BY SCHNEIDER ELECTRIC.
Funding entity: SCHNEIDER ELECTRIC Spain S.A.
Agreement for the testing of equipment and the training of professionals in the new technologies of Industrial Automation and Energy Management in Buildings implemented by Schneider Electric.
Schneider Electric Training Institute (ISEF).
Duration: 2011 to: present.
SUPPLY, ASSEMBLY AND START-UP OF EQUIPMENT FOR MEASUREMENT OF CONSUMPTION AND QUALITY OF ELECTRICAL ENERGY
Funding entity: COMPLEJO ASISTENCIAL UNIVERSITARIO DE LEÓN (HOSPITAL DE LEÓN)
Start date: October 1, 2016.
Duration: 1 year.
PROVISION OF THE TECHNICAL SUPPORT SERVICE FOR THE MANAGEMENT AND MAINTENANCE OF THE CONTROL SYSTEMS OF THE COOLED WATER PRODUCTION FACILITIES.
Funding Entity: University Assistance Complex of León (Hospital de León).
Provision of technical support service for management and maintenance of the control systems of the chilled water production facilities of the University Assistance Complex of León (Hospital de León).
Duration: February 16, 2015 to December 31, 2015.
PROJECT OF SUPERVISION AND CONTROL OF AIR CONDITIONING FACILITIES IN VARIOUS BUILDINGS.
Engineering project.
Project for the supervision and control of air conditioning installations in several buildings (Phase I, II and III) at the YPF gas plant in Sta. Cruz de la Sierra (Bolivia). Programming of Schneider-Electric equipment control.
Dates completion: November 24, 2014 to February 4, 2015.
PROVISION OF DATA COLLECTION, STUDY AND ANALYSIS OF ELECTRICAL CONSUMPTION PROFILES.
Agreement: University Assistance Complex of León (Hospital de León).
Provision of data collection, study and analysis of electrical consumption profiles of the University Care Complex of León (Hospital de León).
Duration: March 1, 2014 to October 31, 2014.
TECHNICAL SUPPORT SERVICE FOR MANAGEMENT AND MAINTENANCE OF CONTROL SYSTEMS OF COOLED WATER PRODUCTION FACILITIES.
Agreement: University Assistance Complex of León (Hospital de León).
Technical support service for management and maintenance of the control systems of the chilled water production facilities.
Duration: July 16, 2013 to July 15, 2014.
DESIGN AND START-UP PROJECT OF THE CLIMATE CONTROL AND SUPERVISION SYSTEM.
Engineering project
Design and implementation project of the control and supervision system of air conditioning in the offices of the Montecelo hospital (Pontevedra). Programming of Schneider-Electric equipment control
Dates completion: May 1, 2014 to June 6, 2014.
STUDY AND OPTIMIZATION OF SUPERVISORY AND CONTROL SYSTEMS TO IMPROVE ENERGY EFFICIENCY.
Agreement: University of León
Study and optimization of supervision and control systems to improve energy efficiency in the facilities of the University of León. Technical support for the telemanagement system of energy consumption in the facilities of the University of León.
From: December 1, 2010 to December 31, 2013.
MODERNIZATION OF THE CEDEA CONTROL CENTER OF THE NATIONAL INSTITUTE OF AEROSPACE TECHNOLOGY (INTA).
Research contract
Modernization of the control center of the CEDEA (Centro de Experimentación del Arenosillo) of the National Institute of Aerospace Technology (INTA).
Participating entities: National Institute of Aerospace Technology (INTA), Engineering and Aerospace Services (INSA S.A.).
Date: January 01, 2007 to July 6, 2009.
ACOUSTIC REPORT ON THE WORKS UNDER CONSTRUCTION OF THE COMPANY BOCSA S.A.
Technical report
Acoustic report on the construction works of the company BOCSA S.A.
Dates completion: April 1, 2006 to April 3, 2008.
DESIGN OF SUPERVISORY STRUCTURE ON OPTO B3000ENET EQUIPMENT TO CAPTURE 160 ANALOG VARIABLES WITH SAMPLING TIMES LESS THAN OR EQUAL TO 20MS.
Research contract
Design of Supervision Structure on Opto B3000ENET Equipment for Capture of 160 Analog Variables with Sampling Time Minor or Equal to 20ms.
Fuding entity: Optomation S.A.
Dates: From: 12/15/2004 To: 01/05/2005
Total number of months: 6.
PUBLICATIONS
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
In: 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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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
In: 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
In: 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
In: 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
In: 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
In: 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},
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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
In: 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
In: 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
In: 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},
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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
In: 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
In: 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
In: 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},
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}
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
In: 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
In: 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
In: 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
In: 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
In: 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
In: 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
In: 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
In: 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
In: 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
In: Lazaros Iliadis; Harris Papadopoulos; Chrisina Jayne (Ed.): Engineering Applications of Neural Networks, pp. 370–379, Springer, Heidelberg, 2013, ISBN: 978-3-642-41012-3.
@inproceedings{barrientos13,
title = {Analysis of Heating Systems in Buildings Using Self-Organizing Maps},
author = {Pablo Barrientos and Carlos Del J Canto and Antonio Morán and Serafín Alonso and Miguel A Prada and Juan J Fuertes and Manuel Domínguez},
editor = {Lazaros Iliadis and Harris Papadopoulos and Chrisina Jayne},
doi = {10.1007/978-3-642-41013-0_38},
isbn = {978-3-642-41012-3},
year = {2013},
date = {2013-01-01},
booktitle = {Engineering Applications of Neural Networks},
volume = {383},
pages = {370--379},
publisher = {Springer},
address = {Heidelberg},
series = {Communications in Computer and Information Science},
keywords = {},
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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
In: 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
In: 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
In: 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
In: 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
In: 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
In: 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
In: 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
In: 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
In: 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
In: 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
In: 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
In: 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
In: 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
In: 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
In: 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
In: Physcon 2011, 5th International Scientific Conference on Physics and Control, 2011.
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