Automated Spark Clusters Deployment for Big Data with Standalone Applications Integration. - Antonio M. Fernández; José F. Torres; Alicia Troncoso; Francisco Martínez-Álvarez (CAEPIA, 2016)

Scalable Forecasting Techniques Applied to Big Electricity Time Series. - Antonio Galicia; José F. Torres; Francisco Martínez-Álvarez; Alicia Troncoso (IWANN (2), 2017)

Deep Learning-Based Approach for Time Series Forecasting with Application to Electricity Load. - José F. Torres; Antonio M. Fernández; Alicia Troncoso Lora; Francisco Martínez-Álvarez (IWINAC (2), 2017)

Deep Learning for Big Data Time Series Forecasting Applied to Solar Power. - José F. Torres; Alicia Troncoso; Irena Koprinska; Zheng Wang 040; Francisco Martínez-Álvarez (SOCO-CISIS-ICEUTE, 2018)

A scalable approach based on deep learning for big data time series forecasting. - José F. Torres; Antonio Galicia; Alicia Troncoso Lora; Francisco Martínez-Álvarez (Integr. Comput. Aided Eng., 2018)

A novel spark-based multi-step forecasting algorithm for big data time series. - Antonio Galicia; José F. Torres; Francisco Martínez-Álvarez; Alicia Troncoso Lora (Inf. Sci., 2018)

Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting. - José F. Torres; David Gutiérrez-Avilés; Alicia Troncoso; Francisco Martínez-Álvarez (IWANN (1), 2019)

Big data solar power forecasting based on deep learning and multiple data sources. - José F. Torres; Alicia Troncoso; Irena Koprinska; Zheng Wang 040; Francisco Martínez-Álvarez (Expert Syst. J. Knowl. Eng., 2019)

Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model. - Francisco Martínez-Álvarez; Gualberto Asencio-Cortés; José F. Torres; David Gutiérrez-Avilés; Laura Melgar-García; Rubén Pérez-Chacón; Cristina Rubio-Escudero; José C. Riquelme; Alicia Troncoso Lora (Big Data, 2020)

Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks. - José F. Torres; M. J. Jiménez-Navarro; Francisco Martínez-Álvarez; Alicia Troncoso (CAEPIA, 2021)

Medium-Term Electricity Consumption Forecasting in Algeria Based on Clustering, Deep Learning and Bayesian Optimization Methods. - Dalil Hadjout; José F. Torres; Abderrazak Sebaa; Francisco Martínez-Álvarez (SOCO, 2021)

Electricity Generation Forecasting in Concentrating Solar-Thermal Power Plants with Ensemble Learning. - A. Melara; José F. Torres; Alicia Troncoso; Francisco Martínez-Álvarez (SOCO, 2021)

Deep Learning for Time Series Forecasting: A Survey. - José F. Torres; Dalil Hadjout; Abderrazak Sebaa; Francisco Martínez-Álvarez; Alicia Troncoso (Big Data, 2021)

Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm. - Kien-Trinh Thi Bui; José F. Torres; David Gutiérrez-Avilés; Viet-Ha Nhu; Dieu Tien Bui; Francisco Martínez-Álvarez (Comput. Aided Civ. Infrastructure Eng., 2022)

A deep LSTM network for the Spanish electricity consumption forecasting. - José F. Torres; Francisco Martínez-Álvarez; Alicia Troncoso (Neural Comput. Appl., 2022)

Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python. - Laura Melgar-García; Angela Troncoso-García; David Gutiérrez-Avilés; José Francisco Torres; Alicia Troncoso (CISIS-ICEUTE, 2023)

Predicting Wildfires in the Caribbean Using Multi-source Satellite Data and Deep Learning. - José F. Torres; S. Valencia; Francisco Martínez-Álvarez; N. Hoyos (IWANN (2), 2023)

Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market. - Dalil Hadjout; Abderrazak Sebaa; José F. Torres; Francisco Martínez-Álvarez (Expert Syst. Appl., 2023)

An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines. - Francesc Rodríguez-Díaz; José Francisco Torres; David Gutiérrez-Avilés; Alicia Troncoso; Francisco Martínez-Álvarez (CAEPIA, 2024)

An evolutionary triclustering approach to discover electricity consumption patterns in France. - David Gutiérrez-Avilés; José F. Torres; Francisco Martínez-Álvarez; Jairo Cugliari (SAC, 2024)

Forecasting basal area increment in forest ecosystems using deep learning: A multi-species analysis in the Himalayas. - Pablo Casas-Gómez; José F. Torres; Juan Carlos Linares; Alicia Troncoso Lora; Francisco Martínez-Álvarez (Ecol. Informatics, 2025)

MetaGen: A framework for metaheuristic development and hyperparameter optimization in machine and deep learning. - David Gutiérrez-Avilés; Manuel Jesús Jiménez-Navarro; José Francisco Torres; Francisco Martínez-Álvarez (Neurocomputing, 2025)

Energy-efficient transfer learning for water consumption forecasting. - A. Gil-Gamboa; José F. Torres; Francisco Martínez-Álvarez; Alicia Troncoso (Sustain. Comput. Informatics Syst., 2025)