Farzad Ferdowsi

Assistant Professor

University of Louisiana at Lafayette

United States

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About

Farzad Ferdowsi is an Assistant Professor at the University of Louisiana at Lafayette, USA. His research areas include power system resilience, microgrids, and the application of digital twin technologies in energy systems. Recent articles co-authored by Dr. Ferdowsi focus on strategies for enhancing energy resilience through innovative controls and machine learning techniques in microgrid environments.

Articles (16)

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2020

Collaborators (3)

Yihao Wan

KTH Royal Institute of Technology

SWEDEN

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Terrence Chambers

UNITED STATES

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Mohammad Mehdi Mardani

Technical University of Denmark

DENMARK

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Farzad Ferdowsi

Research Interests

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Articles (16)

Strategic investments for enhancing power system resilience through zonal microgrids

Cost-aware strategies for enhancing energy resilience in microgrids via stationary and mobile resources

Digital Twin‐Enabled Transfer Learning of RL‐Driven Control for DC Microgrids

Digital Twin-Driven Health Management in Microgrids

Adaptable Volt-VAR control digital twinning for smart solar inverters

Resilient Reinforcement Learning for Voltage Control in an Islanded DC Microgrid Integrating Data-Driven Piezoelectric

Resilient Space Operations With Digital Twin for Solar PV and Storage

ML-Enabled Piezoelectric-Driven Internal Defect Assessment in Metal Structures

Enhancing EV charger resilience with reinforcement learning aided control

Techno-economic impacts of Volt-VAR control on the high penetration of solar PV interconnection

Cyber-Resilient Sliding-Mode Consensus Secondary Control Scheme for Islanded AC Microgrids

Performance Evaluation of 1.1 MW Grid-Connected Solar Photovoltaic Power Plant in Louisiana

A data-driven real-time stability metric for SST-based microgrids

Vulnerability Identification and Remediation of FDI Attacks in Islanded DC Microgrids Using Multiagent Reinforcement Learning

Sliding Mode Control Enabled Hybrid Energy Storage System for Islanded DC Microgrids with Pulsing Loads

Classification of Emergent Dynamics in Microgrids Utilizing an Entropic Complexity-Based Feature Extractor

Collaborators (3)

Yihao Wan

Terrence Chambers

Mohammad Mehdi Mardani

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