Publications in collaboration with researchers from Universidad de León (43)

2025

  1. Adaptive model based on ESN for anomaly detection in industrial systems

    Evolving Systems, Vol. 16, Núm. 1

  2. Conditioned fully convolutional denoising autoencoder for multi-target NILM

    Neural Computing and Applications, Vol. 37, Núm. 17, pp. 10491-10505

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

  4. Principal Component Modes of Reservoir Dynamics in Reservoir Computing

    IFIP Advances in Information and Communication Technology

2022

  1. Modelado de series temporales mediante echo state networks para aplicaciones de analítica visual

    Simposio CEA de Control Inteligente (17. 2022. León): Libro de actas

  2. Two-step residual-error based approach for anomaly detection in engineering systems using variational autoencoders

    Computers and Electrical Engineering, Vol. 101

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