All Stories

  1. Reduced-order echo state networks for model predictive control in industrial applications
  2. A comprehensive study of incremental input-to-state stability in echo state networks: Hyperparameter influence and stability promotion in reduced models
  3. Dataset of Substation Communication Traffic under Normal and Attack Scenarios
  4. MPC Approximation with Echo State Networks for Industrial Control Systems
  5. Embedded deep reservoir computing for modelling complex industrial systems
  6. Adquisición de tráfico de red en demostrador de subestación eléctrica
  7. Modelado de sistemas industriales no lineales mediante SINDyc para la construcción de gemelos digitales
  8. Modelado de sistemas industriales no lineales mediante SINDyc para la construcción de gemelos digitales
  9. Adaptive model based on ESN for anomaly detection in industrial systems
  10. ESN Architectures for Industrial Process Modelling to Develop Digital Twins
  11. ESN with Delayed Inputs to Model Industrial Processes
  12. Conditioned fully convolutional denoising autoencoder for multi-target NILM
  13. An Approach to Develop Digital Twins in Industry
  14. Advanced tools for electricity consumption monitoring
  15. Deep Echo State Networks for Modelling of Industrial Systems
  16. Machine Learning Modeling in Industrial Processes for Visual Analysis
  17. Adaptive Model for Industrial Systems Using Echo State Networks
  18. Hierarchical Prediction in Incomplete Submetering Systems Using a CNN
  19. Virtual Flow Meter for an Industrial Process
  20. Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network
  21. Fully-Convolutional Denoising Auto-Encoders for NILM in Large Non-Residential Buildings
  22. Environment for Education on Industry 4.0
  23. Estimating cooling production and monitoring efficiency in chillers using a soft sensor
  24. Feature Extraction from Building Submetering Networks Using Deep Learning
  25. Evaluation of feature learning for anomaly detection in network traffic
  26. Educational Data Mining for Tutoring Support in Higher Education: A Web-Based Tool Case Study in Engineering Degrees
  27. Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network
  28. A Deep Learning Approach for Fusing Sensor Data from Screw Compressors
  29. A Data-Driven Approach for Enhancing the Efficiency in Chiller Plants: A Hospital Case Study
  30. Comparison of Network Intrusion Detection Performance Using Feature Representation
  31. Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers
  32. Data-driven tool for monitoring of students performance
  33. Experimentation environment for industrial control systems cybersecurity: On-site and remote training
  34. Interactive visualization for NILM in large buildings using non-negative matrix factorization
  35. Comparative analysis of the security of configuration protocols for industrial control devices
  36. Cybersecurity training in control systems using real equipment * *This work was supported by the Spanish Secretary of State for Research, Development and Innovation (Ministry of Economy and Competitivity), under grant UNLE13-3E-1578 of the National Pro...
  37. Using Low-Cost Open Source Hardware To Control Puma560 Motors
  38. Analysis of Parallel Process in HVAC Systems Using Deep Autoencoders
  39. Energy analytics in public buildings using interactive histograms
  40. Random extreme learning machines to predict electric load in buildings
  41. Communication with resource-constrained devices through MQTT for control education
  42. Challenges and solutions in remote laboratories. Application to a remote laboratory of an electro-pneumatic classification cell
  43. Dimensionality reduction techniques to analyze heating systems in buildings
  44. A LOW-COST OPEN SOURCE HARDWARE IN CONTROL EDUCATION. CASE STUDY: ARDUINO-FEEDBACK MS-150
  45. Remote Laboratory for Cybersecurity of Industrial Control Systems
  46. Visual analysis of a cold rolling process using a dimensionality reduction approach
  47. Analysis of electricity consumption profiles in public buildings with dimensionality reduction techniques
  48. Analysis of electricity bills using visual continuous maps
  49. Power monitoring system for university buildings: Architecture and advanced analysis tools
  50. A Virtual Laboratory of D.C. Motors for Learning Control Theory
  51. Machine learning methods to forecast temperature in buildings
  52. Development of a low-cost, portable hardware platform for teaching control and systems theory
  53. A new device laboratory: Experimental validation
  54. Analysis of Heating Systems in Buildings Using Self-Organizing Maps
  55. TIME SERIES FOR FAULT DETECTION IN AN INDUSTRIAL PILOT PLANT
  56. MONITORING POWER CONSUMPTION USING A GENERALIZED VARIANT OF SELF-ORGANIZING MAP (SOM)
  57. DIMENSIONALITY REDUCTION FOR DAMAGE DETECTION IN ENGINEERING STRUCTURES
  58. Visualization maps based on SOM to analyze MIMO systems
  59. Monitoring industrial processes with SOM-based dissimilarity maps
  60. Visual Analysis of a Cold Rolling Process Using Data-Based Modeling
  61. Two-Stage Approach for Electricity Consumption Forecasting in Public Buildings
  62. Improving user interaction in remote laboratories through HTML5/AJAX
  63. Remote laboratory of a quadruple tank process for learning in control engineering using different industrial controllers
  64. Time-Frequency Analysis of Hot Rolling Using Manifold Learning
  65. Remote Laboratory for Learning of AC Drive Control
  66. Manifold Learning for Visualization of Vibrational States of a Rotating Machine
  67. EnvSOM: A SOM Algorithm Conditioned on the Environment for Clustering and Visualization
  68. Control Maps: Visualization of Local Robustness Properties for Control System Design*
  69. Comparative Analysis of Power Consumption in University Buildings Using envSOM
  70. Analysis of electric power consumption using Self-Organizing Maps.
  71. Use of e-learning functionalities: Results of a survey along Spain
  72. Practice and research in engineering education: Activities of the CESEI Technical Committee
  73. Engineering education research in Spain: A review through the education awards of CESEI — IEEE
  74. Visual dynamic model based on self-organizing maps for supervision and fault detection in industrial processes
  75. Visualization of Changes in Process Dynamics Using Self-Organizing Maps
  76. Entornos de experimentación para la Enseñanza de Conceptos Básicos de Modelado y Control
  77. Application of SOM-Based Visualization Maps for Time-Response Analysis of Industrial Processes
  78. Visualization of MIMO Process Dynamics Using Local Dynamic Modelling with Self Organizing Maps
  79. A new approach to exploratory analysis of system dynamics using SOM. Applications to industrial processes
  80. Case-Based Reasoning and System Identification for Control Engineering Learning
  81. Modeling the best practices towards the adaptation to the European credit transfer system in technical degrees within the IEEE ES chapter
  82. Internet-based remote supervision of industrial processes using self-organizing maps
  83. Work in Progress: Modeling the best practices of adaptation to European credit transfer system in technical teachings as improvement to the mobility of students
  84. Supervision of Industrial Processes using Self Organizing Maps
  85. Active learning in control education