Publications

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2022

D. Hadjout and J. F. Torres and A. Troncoso and A. Sebaa and F. Martínez-Álvarez

Electricity consumption forecasting based on ensemble deep learning with application to the Algerian market (Journal Article)

Energy, 243 , pp. 123060, 2022.

(Abstract | Links | BibTeX | Tags: deep learning, energy, time series)

J. F. Torres and F. Martínez-Álvarez and A. Troncoso

A deep LSTM network for the Spanish electricity consumption forecasting (Journal Article)

Neural Computing and Applications, 2022.

(Abstract | Links | BibTeX | Tags: deep learning, energy)

2021

K.-T. T. Bui and J. F. Torres and D. Gutiérrez-Avilés and V. H. Nhu and F. Martínez-Álvarez and D. T. Bui

Deformation forecasting of a hydropower dam by hybridizing a Long Short-Term Memory deep learning network with the Coronavirus Optimization Algorithm (Journal Article)

Computer-Aided Civil and Infrastructure Engineering, in press , 2021.

(BibTeX | Tags: deep learning, time series)

J. F. Torres and M. J. Jiménez-Navarro and F. Martínez-Álvarez and A. Troncoso

Electricity consumption time series forecasting using Temporal Convolutional Networks (Conference)

Conference of the Spanish Association for Artificial Intelligence (CAEPIA'21), Lecture Notes in Artificial Intelligence 2021.

(BibTeX | Tags: deep learning, time series)

A. Melara and J. F. Torres and A. Troncoso and F. Martínez-Álvarez

Electricity Generation Forecasting in Concentrating Solar-Thermal Power Plants with Ensemble Learning (Conference)

SOCO International Conference on Soft Computing Models in Industrial and Environmental Applications, 1401 , Advances in Intelligent Systems and Computing 2021.

(Links | BibTeX | Tags: deep learning, energy, time series)

D. Hadjout and J. F. Torres and A. Sebaa and F. Martínez-Álvarez

Medium-Term Electricity Consumption Forecasting in Algeria Based on Clustering, Deep Learning and Bayesian Optimization Methods (Conference)

SOCO International Conference on Soft Computing Models in Industrial and Environmental Applications, 1401 , Advances in Intelligent Systems and Computing 2021.

(Links | BibTeX | Tags: deep learning, energy, time series)

M. J. Jiménez-Navarro and F. Martínez-Álvarez and A. Troncoso and G. Asencio-Cortés

HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting (Conference)

SOCO International Conference on Soft Computing Models in Industrial and Environmental Applications, 1401 , Advances in Intelligent Systems and Computing 2021.

(Links | BibTeX | Tags: deep learning, time series)

M. A. Molina and M. J. Jiménez-Navarro and F. Martínez-Álvarez and G. Asencio-Cortés

A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery (Conference)

HAIS, 12886 , Lecture Notes in Computer Science 2021.

(Links | BibTeX | Tags: deep learning, time series)

J. F. Torres and D. Hadjout and A. Sebaa and F. Martínez-Álvarez and A. Troncoso

Deep Learning for Time Series Forecasting: A Survey (Journal Article)

Big Data, 9 (1), pp. 3-21, 2021.

(Abstract | Links | BibTeX | Tags: big data, deep learning, time series)

M. A. Molina and G. Asencio-Cortés and J. C. Riquelme and F. Martínez-Álvarez

A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets (Conference)

15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020), Advances in Intelligent Systems and Computing 2021.

(Links | BibTeX | Tags: deep learning, pattern recognition, transfer learning)

R. Parra and V. Ojeda and J.L. Vázquez Noguera and M. García-Torres and J.C. Mello-Román and C. Villalba and J. Facon and F. Divina and O. Cardozo and V. Castillo

A Trust-Based Methodology to Evaluate Deep Learning Models for Automatic Diagnosis of Ocular Toxoplasmosis from Fundus Images (Journal Article)

Diagnostics, 11 (11), pp. 1951, 2021.

(Links | BibTeX | Tags: bioinformatics, deep learning, pattern recognition)

J. Ayala and M. García-Torres and J.L. Vázquez Noguera and F. Gómez-Vela and F. Divina

Technical analysis strategy optimization using a machine learning approach in stock market indices (Journal Article)

Knowledge-Based Systems, pp. 107119, 2021.

(Links | BibTeX | Tags: deep learning, pattern recognition)

2020

F. Divina and J. F. Torres and M. García-Torres and F. Martínez-Álvarez and A. Troncoso

Hybridizing deep learning and neuroevolution: Application to the Spanish short-term electric energy consumption forecasting (Journal Article)

Applied Sciences, 10 (16), pp. 5487, 2020.

(Abstract | Links | BibTeX | Tags: big data, deep learning, energy, time series)

F. Martínez-Álvarez and G. Asencio-Cortés and J. F. Torres and D. Gutiérrez-Avilés and L. Melgar-García and R. Pérez-Chacón and C. Rubio-Escudero and A. Troncoso and J. C. Riquelme

Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model (Journal Article)

Big Data, 8 (4), pp. 308-322, 2020.

(Abstract | Links | BibTeX | Tags: big data, deep learning, energy, time series)

2019

J. F. Torres and D. Gutiérrez-Avilés and A. Troncoso and F. Martínez-Álvarez

Random Hyper-Parameter Search-Based Deep Neural Network for Power Consumption Forecasting (Conference)

IWANN 15th International Work-Conference on Artificial Neural Networks, 11506 , Lecture Notes in Computer Science 2019.

(Links | BibTeX | Tags: deep learning, energy, time series)

J. F. Torres and A. Troncoso and I. Koprinska and Z. Wang and F. Martínez-Álvarez

Big data solar power forecasting based on deep learning and multiple data sources (Journal Article)

Expert Systems, 36 , pp. id12394, 2019.

(Links | BibTeX | Tags: deep learning, energy, time series)

2018

J. F. Torres and A. Galicia and A. Troncoso and F. Martínez-Álvarez

A scalable approach based on deep learning for big data time series forecasting (Journal Article)

Integrated Computer-Aided Engineering, 25 (4), pp. 335-348, 2018.

(Abstract | Links | BibTeX | Tags: deep learning, energy, time series)

J. F. Torres and A. Troncoso and I. Koprinska and Z. Wang and F. Martínez-Álvarez

Deep learning for big data time series forecasting applied to solar power (Conference)

SOCO 13th International Conference on Soft Computing Models in Industrial and Environmental Applications, Advances in Intelligent Systems and Computing 2018.

(Links | BibTeX | Tags: deep learning, energy, time series)

2017

J. F. Torres and A. Troncoso and F. Martínez-Álvarez

Deep Learning - Based Approach for Time Series Forecasting with Application to Electricity Load (Conference)

IWINAC International Work-Conference on the Interplay Between Natural and Artificial Computation, Lecture Notes in computer Science 2017.

(Links | BibTeX | Tags: deep learning, energy, time series)