Publicaciones en colaboración con investigadores/as de Universidad de Oviedo (17)

2023

  1. Adaptive Model for Industrial Systems Using Echo State Networks

    Communications in Computer and Information Science

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

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

2015

  1. Analysis of Electricity Bill Data using Interactive Dimensionality Reduction

    ACM International Conference Proceeding Series

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. Visualization maps based on SOM to analyze MIMO systems

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

2012

  1. Analysis of Electricity Consumption Profiles by Means of Dimensionality Reduction Techniques

    Communications in Computer and Information Science

  2. Monitoring industrial processes with SOM-based dissimilarity maps

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

  3. Supervision of industrial processes using self organizing maps

    Intelligent Data Analysis for Real-Life Applications: Theory and Practice (IGI Global), pp. 206-227

  4. Two-stage approach for electricity consumption forecasting in public buildings

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010

  1. Application of SOM-based visualization maps for time-response analysis of industrial processes

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Visual dynamic model based on self-organizing maps for supervision and fault detection in industrial processes

    Engineering Applications of Artificial Intelligence, Vol. 23, Núm. 1, pp. 8-17

  3. Visualization of changes in process dynamics using self-organizing maps

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)