José F. Torres

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

Top Topics

Optimization Algorithm

Electricity Consumption

Top Venues

SOCO-CISIS-ICEUTE

Publications

David Gutiérrez-Avilés, José F. Torres, Francisco Martínez-Álvarez, Jairo Cugliari
An evolutionary triclustering approach to discover electricity consumption patterns in France. SAC (2024)
José F. Torres, S. Valencia, Francisco Martínez-Álvarez, N. Hoyos
Predicting Wildfires in the Caribbean Using Multi-source Satellite Data and Deep Learning. IWANN (2) (2023)
Dalil Hadjout, Abderrazak Sebaa, José F. Torres, Francisco Martínez-Álvarez
Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market. Expert Syst. Appl. 227 (2023)
Kien-Trinh Thi Bui, José F. Torres, David Gutiérrez-Avilés, Viet-Ha Nhu, Dieu Tien Bui, Francisco Martínez-Álvarez
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. 37 (11) (2022)
José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso
A deep LSTM network for the Spanish electricity consumption forecasting. Neural Comput. Appl. 34 (13) (2022)
José F. Torres, Dalil Hadjout, Abderrazak Sebaa, Francisco Martínez-Álvarez, Alicia Troncoso
Deep Learning for Time Series Forecasting: A Survey. Big Data 9 (1) (2021)
José F. Torres, M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso
Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks. CAEPIA (2021)
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
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model. Big Data 8 (4) (2020)
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
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model. CoRR (2020)
José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez
Big data solar power forecasting based on deep learning and multiple data sources. Expert Syst. J. Knowl. Eng. 36 (4) (2019)
José F. Torres, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting. IWANN (1) (2019)
José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez
Deep Learning for Big Data Time Series Forecasting Applied to Solar Power. SOCO-CISIS-ICEUTE (2018)
Antonio Galicia, José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso Lora
A novel spark-based multi-step forecasting algorithm for big data time series. Inf. Sci. 467 (2018)
José F. Torres, Antonio Galicia, Alicia Troncoso Lora, Francisco Martínez-Álvarez
A scalable approach based on deep learning for big data time series forecasting. Integr. Comput. Aided Eng. 25 (4) (2018)
José F. Torres, Antonio M. Fernández, Alicia Troncoso Lora, Francisco Martínez-Álvarez
Deep Learning-Based Approach for Time Series Forecasting with Application to Electricity Load. IWINAC (2) (2017)
Antonio Galicia, José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso
Scalable Forecasting Techniques Applied to Big Electricity Time Series. IWANN (2) (2017)
Antonio M. Fernández, José F. Torres, Alicia Troncoso, Francisco Martínez-Álvarez
Automated Spark Clusters Deployment for Big Data with Standalone Applications Integration. CAEPIA (2016)