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ORCIDRicardo A. S. Fernandes
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Journal Articles
- 2024
[j13]Tatiane Borchers
, Dirk Wittowsky, Ricardo Augusto Souza Fernandes:
A Comprehensive Survey and Future Directions on Optimising Sustainable Urban Mobility. IEEE Access 12: 63023-63048 (2024)- 2023
- [j12]Gabriel D. A. Aranha, Ricardo A. S. Fernandes, Paulo H. A. Morales:
Deep Transfer Learning Strategy to Diagnose Eye-Related Conditions and Diseases: An Approach Based on Low-Quality Fundus Images. IEEE Access 11: 37403-37411 (2023) - 2022
- [j11]Ricardo Augusto Souza Fernandes, Mário Oleskovicz, Ivan Nunes da Silva:
Harmonic Source Location and Identification in Radial Distribution Feeders: An Approach Based on Particle Swarm Optimization Algorithm. IEEE Trans. Ind. Informatics 18(5): 3171-3179 (2022) - 2021
- [j10]Diego L. Cavalca, Ricardo A. S. Fernandes:
Deep Transfer Learning-Based Feature Extraction: An Approach to Improve Nonintrusive Load Monitoring. IEEE Access 9: 139328-139335 (2021) - 2019
- [j9]Dennys C. A. Mallqui, Ricardo A. S. Fernandes:
Predicting the direction, maximum, minimum and closing prices of daily Bitcoin exchange rate using machine learning techniques. Appl. Soft Comput. 75: 596-606 (2019) - [j8]Rodrigo de T. Caropreso, Ricardo A. S. Fernandes, Diana Pamela Moya Osorio, Ivan Nunes da Silva:
An Open-Source Framework for Smart Meters: Data Communication and Security Traffic Analysis. IEEE Trans. Ind. Electron. 66(2): 1638-1647 (2019) - [j7]Evandro Agostinho Reche, Jeovane Vicente de Sousa, Denis Vinicius Coury, Ricardo A. S. Fernandes:
Data Mining-Based Method to Reduce Multiple Estimation for Fault Location in Radial Distribution Systems. IEEE Trans. Smart Grid 10(4): 3612-3619 (2019) - 2017
- [j6]Guilherme Spavieri, Ricardo T. M. Ferreira, Ricardo A. S. Fernandes, Guilherme G. Lage, Daniel Barbosa, Mário Oleskovicz:
Particle Swarm Optimization-based approach for parameterization of power capacitor models fed by harmonic voltages. Appl. Soft Comput. 56: 55-64 (2017) - 2016
- [j5]Luciano Carli Moreira de Andrade, Mário Oleskovicz, Ricardo A. S. Fernandes:
Adaptive threshold based on wavelet transform applied to the segmentation of single and combined power quality disturbances. Appl. Soft Comput. 38: 967-977 (2016) - [j4]Lucas A. Lopes, Vinícius Ponte Machado, Ricardo A. L. Rabêlo, Ricardo A. S. Fernandes, Bruno Vicente Alves de Lima:
Automatic labelling of clusters of discrete and continuous data with supervised machine learning. Knowl. Based Syst. 106: 231-241 (2016) - [j3]Fábbio A. S. Borges, Ricardo A. S. Fernandes, Ivan Nunes da Silva, Cintia B. S. Silva:
Feature Extraction and Power Quality Disturbances Classification Using Smart Meters Signals. IEEE Trans. Ind. Informatics 12(2): 824-833 (2016) - 2015
- [j2]Leonel A. Laboissiere, Ricardo A. S. Fernandes, Guilherme G. Lage:
Maximum and minimum stock price forecasting of Brazilian power distribution companies based on artificial neural networks. Appl. Soft Comput. 35: 66-74 (2015) - 2013
- [j1]Ricardo A. S. Fernandes, Ivan Nunes da Silva, Mário Oleskovicz:
Load Profile Identification Interface for Consumer Online Monitoring Purposes in Smart Grids. IEEE Trans. Ind. Informatics 9(3): 1507-1517 (2013)
Conference and Workshop Papers
- 2023
- [c17]Pedro I. N. Barbalho, Denis Vinicius Coury, Vinícius Albernaz Lacerda, Ricardo A. S. Fernandes:
Hardware-in-the-loop Testing of a Deep Deterministic Policy Gradient Algorithm as a Microgrid Secondary Controller. ISGT EUROPE 2023: 1-5 - [c16]Thiago S. Menezes, Denis Vinicius Coury, Ricardo A. S. Fernandes:
Dual-Layer Based Microgrid Protection Using Voltage Synchrophasors. ISGT EUROPE 2023: 1-5 - 2022
- [c15]Raphael Zanandréa Moda, Ricardo A. S. Fernandes:
An Approach Based on DAMICORE Clustering Algorithm to Identify Home Appliances in Overlapping Consumption Scenarios. SMC 2022: 1991-1996 - [c14]Aníbal T. S. Osses, Ricardo A. S. Fernandes:
An Approach Based on Feature Engineering and Machine Learning for the Prediction of Child Violence. SMC 2022: 2465-2470 - 2021
- [c13]Dennys C. A. Mallqui, Ricardo A. S. Fernandes:
Analysis of Technical, Economic and Social Information Features to Predict the Bitcoin Price Direction for Day-Trade Operations. IJCNN 2021: 1-7 - 2019
- [c12]Fábbio A. S. Borges, Ricardo A. L. Rabêlo, Ricardo A. S. Fernandes, M. A. Araújo:
Methodology Based on Adaboost Algorithm Combined with Neural Network for the Location of Voltage Sag Disturbance. IJCNN 2019: 1-7 - [c11]Dennys C. A. Mallqui, Ricardo A. S. Fernandes:
Recurrence Plot Representation for Multivariate Time-Series Analysis. SIMBig 2019: 21-34 - 2018
- [c10]Diego L. Cavalca, Ricardo A. S. Fernandes:
Hybrid Particle Swarm Algorithm Applied to Flexible Job-Shop Problem. CEC 2018: 1-6 - [c9]Diego L. Cavalca, Ricardo A. S. Fernandes:
Gradient-based Mechanism For PSO Algorithm: A Comparative Study On Numerical Benchmarks. CEC 2018: 1-7 - [c8]Diego L. Cavalca, Guilherme Spavieri, Ricardo A. S. Fernandes:
Comparative Analysis Between Particle Swarm Optimization Algorithms Applied to Price-Based Demand Response. ICAISC (1) 2018: 323-332 - [c7]Guilherme Spavieri, Diego L. Cavalca, Ricardo A. S. Fernandes, Guilherme G. Lage:
An Adaptive Individual Inertia Weight Based on Best, Worst and Individual Particle Performances for the PSO Algorithm. ICAISC (1) 2018: 536-547 - 2017
- [c6]Ricardo A. S. Fernandes, L. O. Deus, Luis Gomes, Zita A. Vale:
Statistics-Based Approach to Enable Consumer Profile Definition for Demand Response Programs. DCAI 2017: 63-70 - [c5]Fábbio A. S. Borges, Ivan Nunes da Silva, Ricardo A. S. Fernandes:
Feature Extraction-Based Method for Voltage Sag Source Location in the Context of Smart Grids. DCAI 2017: 71-78 - [c4]Guilherme Spavieri, Ricardo A. S. Fernandes, Zita A. Vale:
Gravitational Search Algorithm Applied for Residential Demand Response Using Real-Time Pricing. PAAMS (Special Sessions) 2017: 101-111 - 2016
- [c3]Fábbio A. S. Borges, Ivan Nunes da Silva, Ricardo A. S. Fernandes, Lucas Moraes:
Classification of Power Quality Disturbances Using Forest Algorithm. DMBD 2016: 247-252 - 2012
- [c2]Ricardo A. L. Rabêlo, Ricardo A. S. Fernandes, Ivan Nunes da Silva:
Operational planning of hydrothermal systems based on a fuzzy-PSO approach. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [c1]Ricardo A. L. Rabêlo, Ricardo A. S. Fernandes, Adriano A. F. M. Carneiro, Rosana T. V. Braga:
An approach based on Takagi-Sugeno Fuzzy Inference System applied to the operation planning of hydrothermal systems. FUZZ-IEEE 2011: 1111-1118
Coauthor Index
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