Publicaciones (22) Publicaciones en las que ha participado algún/a investigador/a

2021

  1. Deep Learning for Time Series Forecasting: A Survey

    Big Data, Vol. 9, Núm. 1, pp. 3-21

  2. Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks

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

2019

  1. Big data solar power forecasting based on deep learning and multiple data sources

    Expert Systems

  2. Deep Learning for Big Data Time Series Forecasting Applied to Solar Power

    Advances in Intelligent Systems and Computing

  3. Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting

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

2017

  1. Deep learning-based approach for time series forecasting with application to electricity load

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

  2. Scalable forecasting techniques applied to big electricity time series

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