Universidad de Oviedo-ko ikertzaileekin lankidetzan egindako argitalpenak (39)

2024

  1. Deep Echo State Networks for Modelling of Industrial Systems

    Communications in Computer and Information Science

2023

  1. Adaptive Model for Industrial Systems Using Echo State Networks

    Communications in Computer and Information Science

  2. Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation

    IFIP Advances in Information and Communication Technology

  3. Echo State Networks for anomaly detection in industrial systems

    IFAC-PapersOnLine

2021

  1. Fully-Convolutional Denoising Auto-Encoders for NILM in Large Non-Residential Buildings

    IEEE Transactions on Smart Grid, Vol. 12, Núm. 3, pp. 2722-2731

2020

  1. Estimating cooling production and monitoring efficiency in chillers using a soft sensor

    Neural Computing and Applications, Vol. 32, Núm. 23, pp. 17291-17308

2019

  1. A deep learning approach for fusing sensor data from screw compressors

    Sensors (Switzerland), Vol. 19, Núm. 13

  2. Desarrollo de laboratorio remoto de investigación mediante la utilización de tecnologías industriales multiconectadas

    XL Jornadas de Automática: libro de actas. Ferrol, 4-6 de septiembre de 2019

  3. Virtual sensor based on a deep learning approach for estimating efficiency in chillers

    Communications in Computer and Information Science

2018

  1. Interactive dimensionality reduction of large datasets using interpolation

    ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

  2. Interactive visualization for NILM in large buildings using non-negative matrix factorization

    Energy and Buildings, Vol. 176, pp. 95-108

2017

  1. Analysis of parallel process in hvac systems using deep autoencoders

    Communications in Computer and Information Science

  2. Energy analytics in public buildings using interactive histograms

    Energy and Buildings, Vol. 134, pp. 94-104

  3. Latent variable analysis in hospital electric power demand using non-negative matrix factorization

    ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

2015

  1. Analysis of Electricity Bill Data using Interactive Dimensionality Reduction

    ACM International Conference Proceeding Series

2014

  1. Power-consumption analysis through web-based visual data exploration

    IFAC Proceedings Volumes (IFAC-PapersOnline)

2013

  1. Analysis of electricity consumption profiles in public buildings with dimensionality reduction techniques

    Engineering Applications of Artificial Intelligence, Vol. 26, Núm. 8, pp. 1872-1880

  2. Visual analysis of a cold rolling process using a dimensionality reduction approach

    Engineering Applications of Artificial Intelligence, Vol. 26, Núm. 8, pp. 1865-1871

  3. Visualization maps based on SOM to analyze MIMO systems

    Neural Computing and Applications, Vol. 23, Núm. 5, pp. 1407-1419

2012

  1. Monitoring industrial processes with SOM-based dissimilarity maps

    Expert Systems with Applications, Vol. 39, Núm. 8, pp. 7110-7120