José F. Torres

21 papers Misc 1Journal 11Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Energy-efficient transfer learning for water consumption forecasting.
Sustain. Comput. Informatics Syst.
A. Gil-Gamboa, José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso
2025 J jnl
Forecasting basal area increment in forest ecosystems using deep learning: A multi-species analysis in the Himalayas.
Ecol. Informatics
Pablo Casas-Gómez, José F. Torres, Juan Carlos Linares, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2024 Misc conf
An evolutionary triclustering approach to discover electricity consumption patterns in France.
SAC
David Gutiérrez-Avilés, José F. Torres, Francisco Martínez-Álvarez, Jairo Cugliari
2023 J jnl
Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market.
Expert Syst. Appl.
Dalil Hadjout, Abderrazak Sebaa, José F. Torres, Francisco Martínez-Álvarez
2023 — conf
Predicting Wildfires in the Caribbean Using Multi-source Satellite Data and Deep Learning.
IWANN (2)
José F. Torres, S. Valencia, Francisco Martínez-Álvarez, N. Hoyos
2022 J jnl
A deep LSTM network for the Spanish electricity consumption forecasting.
Neural Comput. Appl.
José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso
2022 J jnl
Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm.
Comput. Aided Civ. Infrastructure Eng.
Kien-Trinh Thi Bui, José F. Torres, David Gutiérrez-Avilés, Viet-Ha Nhu, Dieu Tien Bui, Francisco Martínez-Álvarez
2021 J jnl
Deep Learning for Time Series Forecasting: A Survey.
Big Data
José F. Torres, Dalil Hadjout, Abderrazak Sebaa, Francisco Martínez-Álvarez, Alicia Troncoso
2021 — conf
Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks.
CAEPIA
José F. Torres, M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso
2021 — conf
Electricity Generation Forecasting in Concentrating Solar-Thermal Power Plants with Ensemble Learning.
SOCO
A. Melara, José F. Torres, Alicia Troncoso, Francisco Martínez-Álvarez
2021 — conf
Medium-Term Electricity Consumption Forecasting in Algeria Based on Clustering, Deep Learning and Bayesian Optimization Methods.
SOCO
Dalil Hadjout, José F. Torres, Abderrazak Sebaa, Francisco Martínez-Álvarez
2020 J jnl
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model.
Big Data
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
2020 J jnl
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model.
CoRR
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
2019 J jnl
Big data solar power forecasting based on deep learning and multiple data sources.
Expert Syst. J. Knowl. Eng.
José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez
2019 — conf
Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting.
IWANN (1)
José F. Torres, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2018 J jnl
A novel spark-based multi-step forecasting algorithm for big data time series.
Inf. Sci.
Antonio Galicia, José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso Lora
2018 J jnl
A scalable approach based on deep learning for big data time series forecasting.
Integr. Comput. Aided Eng.
José F. Torres, Antonio Galicia, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2018 — conf
Deep Learning for Big Data Time Series Forecasting Applied to Solar Power.
SOCO-CISIS-ICEUTE
José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez
2017 — conf
Deep Learning-Based Approach for Time Series Forecasting with Application to Electricity Load.
IWINAC (2)
José F. Torres, Antonio M. Fernández, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2017 — conf
Scalable Forecasting Techniques Applied to Big Electricity Time Series.
IWANN (2)
Antonio Galicia, José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso
2016 — conf
Automated Spark Clusters Deployment for Big Data with Standalone Applications Integration.
CAEPIA
Antonio M. Fernández, José F. Torres, Alicia Troncoso, Francisco Martínez-Álvarez