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José Francisco Torres Maldonado
José Francisco Torres Maldonado
Data Science & Big Data Lab, Pablo de Olavide University
在 upo.es 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
4202021
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
2072018
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
1482020
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
1252018
A deep LSTM network for the Spanish electricity consumption forecasting
JF Torres, F Martínez-Álvarez, A Troncoso
Neural Computing and Applications 34 (13), 10533-10545, 2022
662022
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
602019
Electricity consumption forecasting based on ensemble deep learning with application to the Algerian market
D Hadjout, JF Torres, A Troncoso, A Sebaa, F Martínez-Álvarez
Energy 243, 123060, 2022
592022
Deep learning-based approach for time series forecasting with application to electricity load
JF Torres, AM Fernández, A Troncoso, F Martínez-Álvarez
Biomedical Applications Based on Natural and Artificial Computing …, 2017
562017
Deep learning for big data time series forecasting applied to solar power
JF Torres, A Troncoso, I Koprinska, Z Wang, F Martínez-Álvarez
International Joint Conference SOCO’18-CISIS’18-ICEUTE’18: San Sebastián …, 2019
482019
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
462018
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
372019
Deformation forecasting of a hydropower dam by hybridizing a long shortterm memory deep learning network with the coronavirus optimization algorithm
KTT Bui, JF Torres, D GutiérrezAvilés, VH Nhu, DT Bui, ...
ComputerAided Civil and Infrastructure Engineering 37 (11), 1368-1386, 2022
332022
Scalable forecasting techniques applied to big electricity time series
A Galicia, JF Torres, F Martínez-Álvarez, A Troncoso
Advances in Computational Intelligence: 14th International Work-Conference …, 2017
272017
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
192020
Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market
D Hadjout, A Sebaa, JF Torres, F Martínez-Álvarez
Expert Systems with Applications 227, 120123, 2023
72023
Electricity consumption time series forecasting using temporal convolutional networks
JF Torres, MJ Jiménez-Navarro, F Martínez-Álvarez, A Troncoso
Advances in Artificial Intelligence: 19th Conference of the Spanish …, 2021
72021
Automated spark clusters deployment for big data with standalone applications integration
AM Fernández, JF Torres, A Troncoso, F Martínez-Álvarez
Advances in Artificial Intelligence: 17th Conference of the Spanish …, 2016
72016
Medium-term electricity consumption forecasting in algeria based on clustering, deep learning and bayesian optimization methods
D Hadjout, JF Torres, A Sebaa, F Martínez-Alvarez
16th International Conference on Soft Computing Models in Industrial and …, 2022
22022
Water consumption time series forecasting in urban centers using deep neural networks
CG García-Soto, JF Torres, MA Zamora-Izquierdo, J Palma, A Troncoso
Applied Water Science 14 (2), 1-14, 2024
2024
Neuroevolutionary Transfer Learning for Time Series Forecasting
A Vellinger, JF Torres, F Divina, W Vanhoof
International Conference on Soft Computing Models in Industrial and …, 2023
2023
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