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Sistema de control basado en Arduino para una caldera de biomasa

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

Evaluation of an innovative teaching methodology for engineering involving companies and ICTs in a flipped classroom

Revista Infancia, Educación y Aprendizaje, Vol. 3, Núm. 2, pp. 536-543

Adaptive model based on ESN for anomaly detection in industrial systems

Evolving Systems, Vol. 16, Núm. 1

Analisis del rendimiento de un sistema de control ´avanzado basado en el estandar IEC 61499

XIX Simposio CEA de Control Inteligente: libro de actas

Assessment and deployment of a LSTM-based virtual sensor in an industrial process control loop

Neural Computing and Applications, Vol. 37, Núm. 17, pp. 10507-10519

Conditioned fully convolutional denoising autoencoder for multi-target NILM

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

A PID Control Architecture Based on IEC 61499

IFAC-PapersOnLine

An Approach to Develop Digital Twins in Industry

Sensors, Vol. 24, Núm. 3

Deep Echo State Networks for Modelling of Industrial Systems

Communications in Computer and Information Science

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

Jornadas de Automática, Núm. 45

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

Machine Learning Modeling in Industrial Processes for Visual Analysis

Communications in Computer and Information Science

Remote training platform for industrial control automation

IFAC-PapersOnLine

Adaptive Model for Industrial Systems Using Echo State Networks

Communications in Computer and Information Science

Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation

IFIP Advances in Information and Communication Technology

Echo State Networks for anomaly detection in industrial systems

IFAC-PapersOnLine

Gemelo digital de una célula electro-neumática robotizada

XLIV Jornadas de Automática: libro de actas: Universidad de Zaragoza, Escuela de Ingeniería y Arquitectura, 6, 7 y 8 de septiembre de 2023, Zaragoza

Guidelines to develop demonstration models on industry 4.0 for engineering training

International Journal of Computer Integrated Manufacturing, Vol. 36, Núm. 10, pp. 1465-1481

Hands-on training in industrial cybersecurity for a multidisciplinary Master's degree

IFAC-PapersOnLine

Hierarchical Prediction in Incomplete Submetering Systems Using a CNN

Communications in Computer and Information Science

La automática: disciplina científica transversal oculta y transformadora : lección inaugural del Curso Académico 2023-2024, Campus de León

Universidad de León

NICEST - Master study proposal on Next generation Industrial Control Engineering for Sustainable water system Treatment

36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023

Preface

Communications in Computer and Information Science

Virtual Flow Meter for an Industrial Process

Communications in Computer and Information Science

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)

Control de caudal con un sensor virtual basado en técnicas de deep learning

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

Demostradores para la formación en digitalización de la industria

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

Design of Platforms for Experimentation in Industrial Cybersecurity

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

Estado del arte de la educación en automática

Revista iberoamericana de automática e informática industrial ( RIAI ), Vol. 19, Núm. 2, pp. 117-131

Overview and future trends of control education

IFAC-PapersOnLine

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

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

Remote training in cybersecurity for industrial control systems

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

Sensor virtual de caudal basado en técnicas de deep learning

XVII Simposio CEA de Control Inteligente

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

Comité Español de Automática

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

Computers and Electrical Engineering, Vol. 101

Environment for Education on Industry 4.0

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

Evaluation of feature learning for anomaly detection in network traffic

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

Feature analysis for data-driven APT-related malware discrimination

Computers and Security, Vol. 104

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

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

Virtual sensor for probabilistic estimation of the evaporation in cooling towers

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

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

IFAC-PapersOnLine

Educational Data Mining for Tutoring Support in Higher Education: A Web-Based Tool Case Study in Engineering Degrees

IEEE Access, Vol. 8, pp. 212818-212836

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

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

Feature extraction from building submetering networks using deep learning

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

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

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

Energies, Vol. 12, Núm. 5

A deep learning approach for fusing sensor data from screw compressors

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

CHARACTERIZATION OF ENGINEERING STUDENT PROFILES AT EUROPEAN INSTITUTIONS BY USING SPEET IT-TOOL

EDULEARN19: 11TH INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES

Comparison of network intrusion detection performance using feature representation

Communications in Computer and Information Science

Data-driven tool for monitoring of students performance

IFAC-PapersOnLine

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

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

IFAC-PapersOnLine

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

Communications in Computer and Information Science

Interactive dimensionality reduction of large datasets using interpolation

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

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

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

Speet: Visual data analysis of engineering students performance from academic Data?

CEUR Workshop Proceedings

Speet: software tools for academic data analysis

EDULEARN18 Proceedings: 10th International Conference on Education and New Learning Technology (July 2nd-4th, 2018, Palma, Spain)

Analysis of parallel process in hvac systems using deep autoencoders

Communications in Computer and Information Science

Comparative analysis of the security of configuration protocols for industrial control devices

International Journal of Critical Infrastructure Protection, Vol. 19, pp. 4-15

Cybersecurity training in control systems using real equipment

IFAC-PapersOnLine, Vol. 50, Núm. 1, pp. 12179-12184

Energy analytics in public buildings using interactive histograms

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

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

Modernización de equipo feedback MS-150 para el aprendizaje activo en ingeniería de control

Actas de las XXXVIII Jornadas de Automática

SPEET: AN INTERNATIONAL COLLABORATIVE EXPERIENCE IN DATA MINING FOR EDUCATION

10TH INTERNATIONAL CONFERENCE OF EDUCATION, RESEARCH AND INNOVATION (ICERI2017)

Using Low-Cost Open Source Hardware To Control Puma560 Motors

IFAC-PapersOnLine, Vol. 50, Núm. 1, pp. 9180-9185

ESN Architectures for Industrial Process Modelling to Develop Digital Twins

Communications in Computer and Information Science

ESN with Delayed Inputs to Model Industrial Processes

Communications in Computer and Information Science