José Francisco Torres Maldonado
José Francisco Torres Maldonado
Data Science & Big Data Lab
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A scalable approach based on deep learning for big data time series forecasting
JF Torres, A Galicia, A Troncoso, F Martínez-Álvarez
Integrated Computer-Aided Engineering, 1-14, 2018
762018
Stacking ensemble learning for short-term electricity consumption forecasting
F Divina, A Gilson, F Goméz-Vela, M García Torres, JF Torres
Energies 11 (4), 949, 2018
732018
Coronavirus optimization algorithm: a bioinspired metaheuristic based on the COVID-19 propagation model
F Martínez-Álvarez, G Asencio-Cortés, JF Torres, D Gutiérrez-Avilés, ...
Big Data 8 (4), 308-322, 2020
492020
Deep learning-based approach for time series forecasting with application to electricity load
JF Torres, AM Fernández, A Troncoso, F Martínez-Álvarez
International Work-Conference on the Interplay Between Natural and …, 2017
392017
Big data solar power forecasting based on deep learning and multiple data sources
JF Torres, A Troncoso, I Koprinska, Z Wang, F Martínez‐Álvarez
Expert Systems, e12394, 2019
282019
Deep learning for big data time series forecasting applied to solar power
JF Torres, A Troncoso, I Koprinska, Z Wang, F Martínez-Álvarez
The 13th International Conference on Soft Computing Models in Industrial and …, 2018
252018
A novel Spark-based multi-step forecasting algorithm for big data time series
A Galicia, JF Torres, F Martínez-Álvarez, A Troncoso
Information Sciences 467, 800-818, 2018
242018
Deep Learning for Time Series Forecasting: A Survey
JF Torres, D Hadjout, A Sebaa, F Martínez-Álvarez, A Troncoso
Big Data 9 (1), 3-21, 2021
202021
Scalable forecasting techniques applied to big electricity time series
A Galicia, JF Torres, F Martínez-Álvarez, A Troncoso
International Work-Conference on Artificial Neural Networks, 165-175, 2017
192017
Random Hyper-Parameter Search-Based Deep Neural Network for Power Consumption Forecasting
JF Torres, D Gutiérrez-Avilés, A Troncoso, F Martínez-Álvarez
International Work-Conference on Artificial Neural Networks 11506, 259-269, 2019
172019
Automated spark clusters deployment for big data with standalone applications integration
AM Fernández, JF Torres, A Troncoso, F Martínez-Álvarez
Conference of the Spanish Association for Artificial Intelligence, 150-159, 2016
62016
Hybridizing Deep Learning and Neuroevolution: Application to the Spanish Short-Term Electric Energy Consumption Forecasting
F Divina, JF Torres Maldonado, M García-Torres, F Martínez-Álvarez, ...
Applied Sciences 10 (16), 5487, 2020
42020
Electricity Generation Forecasting in Concentrating Solar-Thermal Power Plants with Ensemble Learning
A Melara, JF Torres, A Troncoso, F Martínez-Álvarez
International Workshop on Soft Computing Models in Industrial and …, 2021
2021
Medium-Term Electricity Consumption Forecasting in Algeria Based on Clustering, Deep Learning and Bayesian Optimization Methods
D Hadjout, JF Torres, A Sebaa, F Martínez-Álvarez
International Workshop on Soft Computing Models in Industrial and …, 2021
2021
Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks
JF Torres, MJ Jiménez-Navarro, F Martínez-Álvarez, A Troncoso
Conference of the Spanish Association for Artificial Intelligence, 216-225, 2021
2021
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