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; et al. (SOCO, 2021)

Air Quality Time Series Forecasting Using Machine Learning Algorithms. - Fernanda Carlés; Carolina Recalde; Carlos Sauer Ayala; Luis Bernal; Diego H. Stalder (CLEI, 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 (CLEI, 2023)

Machine learning for electric energy consumption forecasting: Application to the Paraguayan system. - Felix Morales-Mareco; Miguel García-Torres; Federico Divina; Diego H. Stalder; Carlos Sauer Ayala (Log. J. IGPL, 2024)