Filipe de Oliveira Saraiva

Orcid: 0000-0003-3187-4221

According to our database1, Filipe de Oliveira Saraiva authored at least 13 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Improved Fuzzy Decision System for Energy Bill Reduction in the Context of the Brazilian White Tariff Scenario.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2021
From one to hundreds: multi-licensing in the JavaScript ecosystem.
Empir. Softw. Eng., 2021

A Reactive Multi-agent System for Self-healing in Smart Distribution Grids.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Mosaik and PADE: Multiagents and Co-simulation for smart grids modeling.
RITA, 2020

Reactive multi-agent system applied to self-healing in Smart Grids.
RITA, 2020

A Comparison of Crossover Operators in Genetic Algorithms for Switch Allocation Problem in Power Distribution Systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Comparative Analysis of Unbalanced Data Handling Techniques for Machine Learning Algorithms to Electricity Theft Detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
A Fuzzy System Applied to Photovoltaic Generator Management Aimed to Reduce Electricity Bill.
Proceedings of the Progress in Artificial Intelligence, 2019

2018
Evaluation of Convolutional Neural Network Architectures for Chart Image Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Principled Evaluation of Strengths and Weaknesses in FLOSS Communities: A Systematic Mixed Methods Maturity Model Approach.
Proceedings of the Open Source Systems: Towards Robust Practices, 2017

Multi-agent systems applied to power loss minimization in distribution-level smart grid with dynamic load variation.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2015
A framework for classification of non-linear loads in smart grids using Artificial Neural Networks and Multi-Agent Systems.
Neurocomputing, 2015

2014
Multi-agent systems applied to topological reconfiguration of smart power distribution systems.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014


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