César Peláez-Rodríguez

According to our database, César Peláez-Rodríguez authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Hybridizing Machine Learning Algorithms With Numerical Models for Accurate Wind Power Forecasting.

Álvaro Abad-Santjago, César Peláez-Rodríguez, Jorge Pérez-Aracil, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz

Expert Syst. J. Knowl. Eng., February, 2025

2024

Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches.

César Peláez-Rodríguez, Jorge Pérez-Aracil, Dusan Fister, Ricardo Torres-Lopez, Sancho Salcedo-Sanz

Expert Syst. Appl., March, 2024

A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic.

César Peláez-Rodríguez, Jorge Pérez-Aracil, Cosmin Madalin Marina, Luis Prieto-Godino, Carlos Casanova-Mateo, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz

Knowl. Based Syst., 2024

Identifying Key Drivers of Heatwaves: A Novel Spatio-Temporal Framework for Extreme Event Detection.

J. Pérez-Aracil, César Peláez-Rodríguez, Ronan McAdam, Antonello Squintu, Cosmin M. Marina, Eugenio Lorente-Ramos, Niklas Luther, Veronica Torralba, Enrico Scoccimarro, Leone Cavicchia, Matteo Giuliani, Eduardo Zorita, Felicitas Hansen, David Barriopedro, Ricardo García-Herrera, Pedro A. Gutiérrez, Jürg Luterbacher, Elena Xoplaki, Andrea Castelletti, S. Salcedo-Sanz

CoRR, 2024

An explainable machine learning approach for hospital emergency department visits forecasting using continuous training and multi-model regression.

César Peláez-Rodríguez, Ricardo Torres-Lopez, Jorge Pérez-Aracil, Nieves López-Laguna, S. Sánchez-Rodríguez, Sancho Salcedo-Sanz

Comput. Methods Programs Biomed., 2024

Prediction of Extreme Wave Heights via a Fuzzy-Based Cascade Ensemble Model.

César Peláez-Rodríguez, Laura Cornejo-Bueno, Dusan Fister, Jorge Pérez-Aracil, Sancho Salcedo-Sanz

Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Autoencoder Framework for General Forecasting.

Dusan Fister, César Peláez-Rodríguez, Laura Cornejo-Bueno, Jorge Pérez-Aracil, Sancho Salcedo-Sanz

Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

2023

Deep learning ensembles for accurate fog-related low-visibility events forecasting.

César Peláez-Rodríguez, Jorge Pérez-Aracil, A. de Lopez-Diz, Carlos Casanova-Mateo, Dusan Fister, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz

Neurocomputing, September, 2023

Accurate long-term air temperature prediction with Machine Learning models and data reduction techniques.

Dusan Fister, Jorge Pérez-Aracil, César Peláez-Rodríguez, Javier Del Ser, Sancho Salcedo-Sanz

Appl. Soft Comput., March, 2023

2022

Accurate Long-term Air Temperature Prediction with a Fusion of Artificial Intelligence and Data Reduction Techniques.

Dusan Fister, Jorge Pérez-Aracil, César Peláez-Rodríguez, Javier Del Ser, Sancho Salcedo-Sanz

CoRR, 2022