Ignacio Díaz Blanco-rekin lankidetzan egindako argitalpenak (13)

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

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

    Communications in Computer and Information Science

2018

  1. 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

2013

  1. Analysis of electricity consumption profiles in public buildings with dimensionality reduction techniques

    Engineering Applications of Artificial Intelligence, Vol. 26, Núm. 8, pp. 1872-1880

  2. Visualization maps based on SOM to analyze MIMO systems

    Neural Computing and Applications, Vol. 23, Núm. 5, pp. 1407-1419

2012

  1. Analysis of Electricity Consumption Profiles by Means of Dimensionality Reduction Techniques

    Communications in Computer and Information Science

  2. Monitoring industrial processes with SOM-based dissimilarity maps

    Expert Systems with Applications, Vol. 39, Núm. 8, pp. 7110-7120

2011

  1. Analysis of electric power consumption using self-organizing maps

    IFAC Proceedings Volumes (IFAC-PapersOnline)

2010

  1. Application of SOM-based visualization maps for time-response analysis of industrial processes

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)