A Multi-Objective Demand Response Optimization Model for Scheduling Loads in a Home Energy Management System. - Jaclason M. Veras; Igor Rafael Santos da Silva; Plácido Rogério Pinheiro; Ricardo A. L. Rabêlo; Artur Felipe da Silva Veloso; Fábbio Anderson Silva Borges; Joel J. P. C. Rodrigues (Sensors, 2018)

A Method for Voltage Sag Source Location Using Clustering Algorithm and Decision Rule Labeling. - José Carlos C. L. da Silva Filho; Fábbio Anderson Silva Borges; Ricardo de Andrade Lira Rabelo; Ivan Saraiva Silva (IJCNN, 2019)

Classification of Power Quality Disturbances Using Convolutional Network and Long Short-Term Memory Network. - Wilson Leal Rodrigues Junior; Fábbio Anderson Silva Borges; Ricardo de Andrade Lira Rabelo; Bruno Vicente Alves de Lima; Jose Eduardo Almeida de Alencar (IJCNN, 2019)

Prediction of COVID-19 using Time-Sliding Window: The case of Piauí State - Brazil. - Patrick Ryan Sales dos Santos; Lucas B. M. de Souza; Samuel P. B. D. Lélis; Hector B. Ribeiro; Fábbio Anderson Silva Borges; Romuere R. V. Silva; Antonio Oseas Carvalho Filho; Flávio H. D. Araújo; Ricardo de Andrade Lira Rabelo; Joel J. P. C. Rodrigues (HealthCom, 2020)

An Adaptive Guard Band Selection based on Convolutional Neural Network. - Wilson Leal Rodrigues Junior; Neclyeux Sousa Monteiro; Fábbio Anderson Silva Borges; Ricardo de Andrade Lira Rabelo; André Castelo Branco Soares (SMC, 2020)

Localization of Voltage Sag Sources Using Convolutional Neural Network in IEEE 34-bus System. - Wilson Leal Rodrigues Junior; Dyôgo Medeiros Reis; Fábbio Anderson Silva Borges; Flávio Henrique Duarte de Araújo; Antônio Oséas de Carvalho Filho; Ricardo de Andrade Lira Rabelo (SMC, 2020)

A Deep Learning Approach for the Detection and Classification of Power Quality Disturbances with Windowed Signals. - Wilson Leal Rodrigues Junior; Fábbio Anderson Silva Borges; Antonio Oseas de Carvalho Filho; Ricardo de A. L. Rabelo (SN Comput. Sci., 2021)

Efficient Fault Localization in Smart Grid Through Analysis of the Wave Matrix Image Using Convolutional Neural Networks. - José Carlos Filho; Francisco C. M. Abreu; Maurício Silva; Fábbio Anderson Silva Borges; Ricardo A. L. Rabêlo (IEEE Access, 2025)