Carlos Sauer Ayala

According to our database, Carlos Sauer Ayala authored at least 3 papers between 2021 and 2023.

Collaborative distances:

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

2023

Short-Term Electricity Demand Forecasting: Evaluating the Effectiveness of Statistical, Machine Learning, and Deep Learning Models.

Felix Morales-Mareco, Carlos Sauer Ayala, Diego H. Stalder, Luis Salgueiro, Sebastián A. Grillo

Proceedings of the XLIX Latin American Computer Conference, 2023

Air Quality Time Series Forecasting Using Machine Learning Algorithms.

Fernanda Carlés, Carolina Recalde, Carlos Sauer Ayala, Luis Bernal, Diego H. Stalder

Proceedings of the XLIX Latin American Computer Conference, 2023

2021

Forecasting Electricity Consumption Data from Paraguay Using a Machine Learning Approach.

José A. Gallardo, Miguel García-Torres, Francisco Gómez-Vela, Félix Morales, Federico Divina, David Becerra-Alonso, Gustavo Velázquez, Federico Daumas-Ladouce, José Luis Vázquez Noguera, Carlos Sauer Ayala, Diego P. Pinto-Roa, Pedro E. Gardel-Sotomayor, Julio César Mello Román

Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021