Ricardo A. S. Fernandes
Orcid: 0000-0003-2361-6505
According to our database1,
Ricardo A. S. Fernandes
authored at least 31 papers
between 2011 and 2025.
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Bibliography
2025
Enhancing Microgrid Protection With Impedance-Based Blocking: An Embedded Validation on a Dual-Layer Architecture.
IEEE Access, 2025
2024
A Comprehensive Survey and Future Directions on Optimising Sustainable Urban Mobility.
IEEE Access, 2024
2023
Deep Transfer Learning Strategy to Diagnose Eye-Related Conditions and Diseases: An Approach Based on Low-Quality Fundus Images.
IEEE Access, 2023
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023
Hardware-in-the-loop Testing of a Deep Deterministic Policy Gradient Algorithm as a Microgrid Secondary Controller.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023
2022
Harmonic Source Location and Identification in Radial Distribution Feeders: An Approach Based on Particle Swarm Optimization Algorithm.
IEEE Trans. Ind. Informatics, 2022
An Approach Based on Feature Engineering and Machine Learning for the Prediction of Child Violence.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
An Approach Based on DAMICORE Clustering Algorithm to Identify Home Appliances in Overlapping Consumption Scenarios.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
2021
Deep Transfer Learning-Based Feature Extraction: An Approach to Improve Nonintrusive Load Monitoring.
IEEE Access, 2021
Analysis of Technical, Economic and Social Information Features to Predict the Bitcoin Price Direction for Day-Trade Operations.
Proceedings of the International Joint Conference on Neural Networks, 2021
2019
Data Mining-Based Method to Reduce Multiple Estimation for Fault Location in Radial Distribution Systems.
IEEE Trans. Smart Grid, 2019
An Open-Source Framework for Smart Meters: Data Communication and Security Traffic Analysis.
IEEE Trans. Ind. Electron., 2019
Predicting the direction, maximum, minimum and closing prices of daily Bitcoin exchange rate using machine learning techniques.
Appl. Soft Comput., 2019
Proceedings of the Information Management and Big Data - 6th International Conference, 2019
Methodology Based on Adaboost Algorithm Combined with Neural Network for the Location of Voltage Sag Disturbance.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
An Adaptive Individual Inertia Weight Based on Best, Worst and Individual Particle Performances for the PSO Algorithm.
Proceedings of the Artificial Intelligence and Soft Computing, 2018
Comparative Analysis Between Particle Swarm Optimization Algorithms Applied to Price-Based Demand Response.
Proceedings of the Artificial Intelligence and Soft Computing, 2018
Gradient-based Mechanism For PSO Algorithm: A Comparative Study On Numerical Benchmarks.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Particle Swarm Optimization-based approach for parameterization of power capacitor models fed by harmonic voltages.
Appl. Soft Comput., 2017
Gravitational Search Algorithm Applied for Residential Demand Response Using Real-Time Pricing.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017
Statistics-Based Approach to Enable Consumer Profile Definition for Demand Response Programs.
Proceedings of the Distributed Computing and Artificial Intelligence, 2017
Feature Extraction-Based Method for Voltage Sag Source Location in the Context of Smart Grids.
Proceedings of the Distributed Computing and Artificial Intelligence, 2017
2016
Feature Extraction and Power Quality Disturbances Classification Using Smart Meters Signals.
IEEE Trans. Ind. Informatics, 2016
Automatic labelling of clusters of discrete and continuous data with supervised machine learning.
Knowl. Based Syst., 2016
Adaptive threshold based on wavelet transform applied to the segmentation of single and combined power quality disturbances.
Appl. Soft Comput., 2016
Proceedings of the Data Mining and Big Data, First International Conference, 2016
2015
Maximum and minimum stock price forecasting of Brazilian power distribution companies based on artificial neural networks.
Appl. Soft Comput., 2015
2013
Load Profile Identification Interface for Consumer Online Monitoring Purposes in Smart Grids.
IEEE Trans. Ind. Informatics, 2013
2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
An approach based on Takagi-Sugeno Fuzzy Inference System applied to the operation planning of hydrothermal systems.
Proceedings of the FUZZ-IEEE 2011, 2011