Ewerton Guarnier

According to our database, Ewerton Guarnier authored at least 6 papers between 2022 and 2026.

Collaborative distances:

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

2026

Short-term energy market forecasting ensemble with multi-data source integration.

Saulo Martiello Mastelini, Marcos Basile Saviano de Paula, Moisés Rocha dos Santos, Sérgio Baldo Júnior, Lucas Ladeira, Luciano Contin Gomes Leite, Ronan Gustavo Carvalho Furtado, Thiago Felicio de Souza, Ewerton Guarnier, Donato da Silva-Filho

Int. J. Data Sci. Anal., June, 2026

2025

Clustering and Explainable AI for Supporting Energy Contracting in the Brazilian Free Energy Market.

Sérgio Baldo Júnior, Gabriel S. Matz, Marcos B. S. Paula, Ewerton Guarnier, Donato S. Filho, Raquel L. Melo, Lucas B. Picarelli, Victor C. V. Rosa, Zhao Liang, Renato Tinós

Proceedings of the International Conference on Machine Learning and Applications, 2025

2024

Multi-source data ensemble for energy price trend forecasting.

Douglas Donizeti de Castilho Braz, Moisés Rocha dos Santos, Marcos Basile Saviano de Paula, Donato da Silva-Filho, Ewerton Guarnier, Lucas Penido Alípio, Renato Tinós, André C. P. L. F. de Carvalho

Eng. Appl. Artif. Intell., 2024

Brazilian Free-Energy Market Mid-and Long-Term Forecasting Using Multi-Source Ensemble Solution.

Sérgio Baldo Júnior, Saulo Martiello Mastelini, Marcos B. S. Paula, Moisés Rocha dos Santos, Ewerton Guarnier, Donato da Silva-Filho, Maria E. C. M. Santos, Thaina R. Fernandes, Victor C. V. Rosa

Proceedings of the International Conference on Machine Learning and Applications, 2024

2023

Feature Selection using Complex Networks to Support Price Trend Forecast in Energy Markets.

Douglas Castilho, Moisés R. Santos, Renato Tinós, André C. P. L. F. de Carvalho, Marcos B. S. Paula, Lucas Ladeira, Ewerton Guarnier, Donato da Silva-Filho, Danilo Y. Suiama, Antonio Carlos De Oliveira Júnior, Lucas Penido Alípio

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Machine Learning Approach for Trend Prediction to Improve Returns on Brazilian Energy Market.

Moisés R. Santos, Douglas Donizeti de Castilho Braz, André C. P. L. F. de Carvalho, Renato Tinós, Marcos B. S. Paula, Gabriel Doretto, Ewerton Guarnier, Donato da Silva-Filho, Danilo Y. Suiama, Lorena E. Ferreira, José E. Carmo Júnior

Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022