Rubén Pérez-Chacón

According to our database, Rubén Pérez-Chacón authored at least 7 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption.

Rubén Pérez-Chacón, Gualberto Asencio-Cortés, Alicia Troncoso Lora, Francisco Martínez-Álvarez

Future Gener. Comput. Syst., 2024

2020

Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand.

Rubén Pérez-Chacón, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso Lora

Inf. Sci., 2020

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

2019

MV-kWNN: A novel multivariate and multi-output weighted nearest neighbours algorithm for big data time series forecasting.

Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, Alicia Troncoso, Francisco Martínez-Álvarez

Neurocomputing, 2019

2018

Big data time series forecasting based on nearest neighbours distributed computing with Spark.

Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, Alicia Troncoso Lora, Francisco Martínez-Álvarez

Knowl. Based Syst., 2018

2016

A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting.

Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez

Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

Finding Electric Energy Consumption Patterns in Big Time Series Data.

Rubén Pérez-Chacón, Ricardo L. Talavera-Llames, Francisco Martínez-Álvarez, Alicia Troncoso Lora

Proceedings of the Distributed Computing and Artificial Intelligence, 2016