| 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 | 981 | 2021 |
| 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 | 325 | 2018 |
| 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 | 193 | 2020 |
| 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 | 171 | 2022 |
| 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 | 152 | 2018 |
| 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 | 114 | 2022 |
| 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 | 80 | 2019 |
| 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 | 70 | 2022 |
| 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 | 66 | 2018 |
| 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 | 65 | 2017 |
| 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 | 54 | 2019 |
| 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 | 51 | 2018 |
| 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 | 30 | 2023 |
| 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 | 27 | 2017 |
| 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 | 25 | 2020 |
| 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), 21, 2024 | 13 | 2024 |
| An experimental comparison of qiskit and pennylane for hybrid quantum-classical support vector machines F Rodríguez-Díaz, JF Torres, D Gutiérrez-Avilés, A Troncoso, ... Conference of the Spanish Association for Artificial Intelligence, 121-130, 2024 | 10 | 2024 |
| 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 | 10 | 2021 |
| 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 | 8 | 2016 |
| MetaGen: A framework for metaheuristic development and hyperparameter optimization in machine and deep learning D Gutiérrez-Avilés, MJ Jiménez-Navarro, JF Torres, F Martínez-Álvarez Neurocomputing 637, 130046, 2025 | 6 | 2025 |
Francisco Martínez-ÁlvarezFull Professor, Data Science & Big Data Lab, Pablo de Olavide University of Seville, SpainVerified email at upo.es
