Rodrigo D. Trevizan

Orcid: 0000-0003-2885-1213

According to our database1, Rodrigo D. Trevizan authored at least 13 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
False Data Injection Attack Detection Methods for Battery Stacks with Input Noise.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024

2023
Efficient Distributed Energy Resource Voltage Control Using Ensemble Deep Reinforcement Learning.
Int. J. Semantic Comput., June, 2023

Feasibility of 100% Renewable-Energy-Powered Microgrids Serving Remote Communities.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

2022
Multiarea Inertia Estimation Using Convolutional Neural Networks and Federated Learning.
IEEE Syst. J., 2022

Cyberphysical Security of Grid Battery Energy Storage Systems.
IEEE Access, 2022

Valuation of Behind-the-Meter Energy Storage in Hybrid Energy Systems.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

Dissipativity-based Voltage Control in Distribution Grids.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

Efficient DER Voltage Control Using Ensemble Deep Reinforcement Learning.
Proceedings of the 5th International Conference on Artificial Intelligence for Industries, 2022

2021
Data-Driven Incident Detection in Power Distribution Systems.
CoRR, 2021

Review of Dynamic and Transient Modeling of Power Electronic Converters for Converter Dominated Power Systems.
IEEE Access, 2021

2018
Toward Resilient Smart Grid Communications Using Distributed SDN with ML-Based Anomaly Detection.
Proceedings of the Wired/Wireless Internet Communications, 2018

2017
A Distributed Control Approach for Enhancing Smart Grid Transient Stability and Resilience.
IEEE Trans. Smart Grid, 2017

Cyber-physical robust control framework for enhancing transient stability of smart grids.
IET Cyper-Phys. Syst.: Theory & Appl., 2017


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