Publikationen, an denen er mitarbeitet MIGUEL ANGEL PRADA MEDRANO (51)

2024

  1. A PID Control Architecture Based on IEC 61499

    IFAC-PapersOnLine

  2. Demostrador para el análisis de tráfico de red en subestaciones de tracción basadas en IEC61850

    Jornadas de Automática, Núm. 45

  3. 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

  4. Machine Learning Modeling in Industrial Processes for Visual Analysis

    Communications in Computer and Information Science

2023

  1. Adaptive Model for Industrial Systems Using Echo State Networks

    Communications in Computer and Information Science

  2. Hierarchical Prediction in Incomplete Submetering Systems Using a CNN

    Communications in Computer and Information Science

  3. Virtual Flow Meter for an Industrial Process

    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

  6. Sensor virtual de caudal basado en técnicas de deep learning

    XVII Simposio CEA de Control Inteligente

2021

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

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

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

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

2020

  1. Development of a Remote Industrial Laboratory for Automatic Control based on Node-RED

    IFAC-PapersOnLine

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

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

  3. Feature extraction from building submetering networks using deep learning

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

  4. 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 data-driven approach for enhancing the efficiency in chiller plants: A hospital case study

    Energies, Vol. 12, Núm. 5