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Fábbio A. S. Borges

Observed names: F. A. S. Borges, Fabbio A. S. Borges, Fabbio A. da S. Borges, Fabbio A.S. Borges, Fabbio Anderson Silva Borges, Fabbio Anderson da Silva Borges, Fabbio Borges, Fabio A. S. Borges, Fábbio Anderson S. Borges, Fábbio Anderson Silva Borges, Fábbio Borges
ORCID: 0000-0002-5134-2348
Observed ORCID: 0000-0002-5134-2348
OpenAlex ID: A5004254468
Feature Extraction and Power Quality Disturbances Classification Using Smart Meters Signals
2015 · Fabbio A. S. Borges, Ricardo A. S. Fernandes, et al. · IEEE Transactions on Industrial Informatics · 237
A Multi-Objective Demand Response Optimization Model for Scheduling Loads in a Home Energy Management System
2018 · Jaclason M. Veras, Igor Rafael S. Silva, et al. · Sensors · 93
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Low voltage smart meter for monitoring of power quality disturbances applied in smart grid
2019 · Wilson L. Rodrigues Junior, Fabbio A.S. Borges, et al. · Measurement · 67
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A methodology for detection and classification of power quality disturbances using a real‐time operating system in the context of home energy management systems
2020 · Wilson L. Rodrigues Junior, Fabbio A. S. Borges, et al. · International Journal of Energy Research · 36
Classification of Power Quality Disturbances Using Convolutional Network and Long Short-Term Memory Network
2019 · Wilson Leal Rodrigues Junior, Fabbio Anderson Silva Borges, et al. · International Joint Conference on Neural Networks (IJCNN) · 36
A Deep Learning Approach for the Detection and Classification of Power Quality Disturbances with Windowed Signals
2021 · Wilson L. Rodrigues, Fabbio A. S. Borges, et al. · SN Computer Science · 17
Prediction of COVID-19 using Time-Sliding Window: The case of Piauí State - Brazil
2021 · Patrick R. S. dos Santos, Lucas B. M. de Souza, et al. · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom) · 10
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Methodology Based on Adaboost Algorithm Combined with Neural Network for the Location of Voltage Sag Disturbance
2019 · F. A. S. Borges, R. A. L. Rabelo, et al. · International Joint Conference on Neural Networks (IJCNN) · 8
Methods for voltage sag source location by Cluster Algorithm and Decision Rule Labeling with a Comparative Approach of K-means and DBSCAN Clustering Algorithms
2020 · Jose Lima Filho, Fabbio Anderson da Silva Borges, et al. · International Conference on Smart and Sustainable Technologies (SpliTech) · 7
Efficient Fault Localization in Smart Grid Through Analysis of the Wave Matrix Image Using Convolutional Neural Networks
2025 · José Carlos Filho, Francisco C. M. Abreu, et al. · IEEE Access · 5
A Methodology for Detection of Power Quality Disturbances in the Context of Demand Side Management
2019 · Wilson L. Rodrigues Junior, Fabbio A. da S. Borges, et al. · International Conference on Smart and Sustainable Technologies (SpliTech) · 5
Fault Identification in Doubly fed Induction Generator using FFT and Neural Networks
2017 · Marcelo Patrício de Santana, José Roberto Boffino de Almeida Monteiro, et al. · Journal of Control Automation and Electrical Systems · 5
Optimized Method for Locating the Source of Voltage Sags
2021 · Jose Carlos Filho, Fabbio Anderson da Silva Borges, et al. · Journal of Communications Software and Systems · 4
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Decision Trees Applied to Fault Locations in Distribution Systems with Smart Meters
2019 · M. A. Araujo, R. A. Flauzino, et al. · IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) · 4
An integration of fuzzy inference systems and Genetic Algorithms for Wireless Sensor Networks
2012 · Ricardo A.L. Rabelo, Marcus Vinícius de S. Lemos, et al. · International Journal of Hybrid Intelligent Systems · 4
A Method for Voltage Sag Source Location Using Clustering Algorithm and Decision Rule Labeling
2019 · Jose Carlos C. L. da Silva Filho, Fabbio Anderson Silva Borges, et al. · International Joint Conference on Neural Networks (IJCNN) · 3
An Adaptive Guard Band Selection based on Convolutional Neural Network
2020 · Wilson Leal Rodrigues, Neclyeux Sousa Monteiro, et al. · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 2
Client/server multi-frame data exchange architecture embedded in residential smart meters
2016 · R. T. Caropreso, F. A. S. Borges, et al. · IEEE Power Engineering Society General Meeting · 2
Classification of Power Quality Disturbances Using Forest Algorithm
2016 · Fábbio Borges, Ivan Silva, et al. · Lecture notes in computer science · 2
An Application of Genetic Fuzzy Systems to the Operation Planning of Hydrothermal Systems
2011 · Ricardo de A. L. Rabelo, Fabbio A. S. Borges, et al. · InTech eBooks · 2
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Localization of Voltage Sag Sources Using Convolutional Neural Network in IEEE 34-bus System
2020 · Wilson Leal Rodrigues Junior, Dyogo Medeiros Reis, et al. · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 1
Feature Extraction-Based Method for Voltage Sag Source Location in the Context of Smart Grids
2017 · F. A. S. Borges, I. N. Silva, et al. · Advances in intelligent systems and computing · 1
Methodology based on smart meters applied to the identification of residential loads
2012 · Sergio D. Fugita, Fábbio A. S. Borges, et al. · Electronic System-Integration Technology Conference (ESTC) · 1
Exploratory data analysis to evaluate the propagation of disturbances originating in a short circuit
2021 · Fabbio Anderson Silva Borges, Jose Carlos C. L. Da Silva Filho, et al. · International Conference on Smart and Sustainable Technologies (SpliTech)
Localização de Faltas em Sistema de Distribuição com Medidores Inteligentes Utilizando Árvores de Decisão
2020 · Marcel A. Araújo, Rogério A. Flauzino, et al. · Congresso Brasileiro de Automática
Works count: 35
Citation count: 552
H-index: 8
I10-index: 7
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