Publications dans lesquelles il/elle collabore avec Alicia Troncoso Lora (18)

2024

  1. Advances in time series forecasting: innovative methods and applications

    AIMS Mathematics

  2. An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines

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

  3. Water consumption time series forecasting in urban centers using deep neural networks

    Applied Water Science, Vol. 14, Núm. 2

2023

  1. Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python

    Lecture Notes in Networks and Systems

2022

  1. A deep LSTM network for the Spanish electricity consumption forecasting

    Neural Computing and Applications, Vol. 34, Núm. 13, pp. 10533-10545

  2. Electricity consumption forecasting based on ensemble deep learning with application to the Algerian market

    Energy, Vol. 243

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)

2020

  1. Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model

    Big data, Vol. 8, Núm. 4, pp. 308-322

  2. Hybridizing deep learning and neuroevolution: Application to the Spanish short-term electric energy consumption forecasting

    Applied Sciences (Switzerland), Vol. 10, Núm. 16

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)

2018

  1. A novel spark-based multi-step forecasting algorithm for big data time series

    Information Sciences, Vol. 467, pp. 800-818

  2. A scalable approach based on deep learning for big data time series forecasting

    Integrated Computer-Aided Engineering, Vol. 25, Núm. 4, pp. 335-348

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)

2016

  1. Automated spark clusters deployment for big data with standalone applications integration

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