Publications dans lesquelles il/elle collabore avec DANIEL PÉREZ LÓPEZ (28)

2024

  1. Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder

    Integrated Computer-Aided Engineering, Vol. 31, Núm. 2, pp. 157-172

2023

  1. Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation

    IFIP Advances in Information and Communication Technology

  2. Echo State Networks for anomaly detection in industrial systems

    IFAC-PapersOnLine

  3. Hierarchical Prediction in Incomplete Submetering Systems Using a CNN

    Communications in Computer and Information Science

2022

  1. Armario para la formación en automatización y control de subestaciones eléctricas de tracción

    XLIII Jornadas de Automática: libro de actas: 7, 8 y 9 de septiembre de 2022, Logroño (La Rioja)

  2. Demostradores para la formación en digitalización de la industria

    Premios a la innovación en la enseñanza, Núm. 21, pp. 65-116

  3. Design of Platforms for Experimentation in Industrial Cybersecurity

    Applied Sciences (Switzerland), Vol. 12, Núm. 13

  4. Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network

    Communications in Computer and Information Science, Vol. 1600 CCIS, pp. 247-259

  5. Remote training in cybersecurity for industrial control systems

    IFAC-PapersOnLine, Vol. 55, Núm. 17, pp. 320-325

2021

  1. Environment for Education on Industry 4.0

    IEEE Access, Vol. 9, pp. 144395-144405

  2. Evaluation of feature learning for anomaly detection in network traffic

    Evolving Systems, Vol. 12, Núm. 1, pp. 79-90

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

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

  4. Virtual sensor for probabilistic estimation of the evaporation in cooling towers

    Integrated Computer-Aided Engineering, Vol. 28, Núm. 4, pp. 369-381

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

  2. Feature extraction from building submetering networks using deep learning

    Sensors (Switzerland), Vol. 20, Núm. 13, pp. 1-21

  3. Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network

    Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, pp. 155-166

2019

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

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

  2. Comparison of network intrusion detection performance using feature representation

    Communications in Computer and Information Science

  3. Experimentation environment for industrial control systems cybersecurity: On-site and remote training

    IFAC-PapersOnLine

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

    Communications in Computer and Information Science