Publicacións en colaboración con investigadores/as de University of Sydney (13)

2024

  1. Discovery of a dormant 33 solar-mass black hole in pre-release Gaia astrometry

    Astronomy and Astrophysics, Vol. 686

2020

  1. Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning

    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. Multi-step forecasting for big data time series based on ensemble learning

    Knowledge-Based Systems, Vol. 163, pp. 830-841

  4. Pattern Sequence Neural Network for Solar Power Forecasting

    Communications in Computer and Information Science

2018

  1. Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting

    2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

  2. Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting

    Proceedings of the International Joint Conference on Neural Networks

2016

  1. Extended weighted nearest neighbor for electricity load forecasting

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

2014

  1. Forecasting Hourly Electricity Load Profile Using Neural Networks

    PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

  2. Forecasting hourly electricity load profile using neural networks

    Proceedings of the International Joint Conference on Neural Networks

2013

  1. Combining Pattern Sequence Similarity with Neural Networks for Forecasting Electricity Demand Time Series

    2013 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

  2. Combining pattern sequence similarity with neural networks for forecasting electricity demand time series

    Proceedings of the International Joint Conference on Neural Networks