ARIF HUSSAIN

Assistant Professor

Louisiana Tech University

United States

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About

Dr. Arif Hussain is an Assistant Professor at Louisiana Tech University, USA. His research focuses on advanced control techniques for hybrid AC/DC transmission networks, renewable energy systems, and anomaly detection in cyber-physical systems. He has published recent articles on topics including model predictive control for photovoltaic inverters, islanding detection in distributed generation systems, and optimal planning for multi-microgrids.

Articles (10)

Year:

2025

Year:

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

Year:

2023

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2023

Year:

2023

Collaborators (3)

Gelli Ravikumar

Associate Professor

Florida State University

UNITED STATES

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Chul-Hwan Kim

Sungkyunkwan University

SOUTH KOREA

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Waseem Haider

Sungkyunkwan University

SOUTH KOREA

View details

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ARIF HUSSAIN

Research Interests

Explore related searches

Contact this professor

About

Articles (10)

Communication-Less Data-Driven Coordination Technique for Hybrid AC/DC Transmission Networks

Anomaly Detection Using Bi-Directional Long Short-Term Memory Networks for Cyber-Physical Electric Vehicle Charging Stations

New Approaches in Finite Control Set Model Predictive Control for Grid-Connected Photovoltaic Inverters: State of the Art

A communication-less islanding detection scheme for hybrid distributed generation systems using recurrent neural network

The Development and Validation of Correlation Charts to Predict the Undisturbed Ground Temperature of Pakistan: A Step towards Potential Geothermal Energy Exploration

Optimal Planning Approaches under Various Seasonal Variations across an Active Distribution Grid Encapsulating Large-Scale Electrical Vehicle Fleets and Renewable Generation

Optimal Planning of Solar Photovoltaic (PV) and Wind-Based DGs for Achieving Techno-Economic Objectives across Various Load Models

Optimal Energy Management System of Isolated Multi-Microgrids with Local Energy Transactive Market with Indigenous PV-, Wind-, and Biomass-Based Resources

Islanding detection and classification of non-islanding disturbance in multi-distributed generation power system using deep neural networks

Quasi-resonant FCS model predictive control for three phase grid connected highly intermittent PV-inverter with voltage support

Collaborators (3)

Gelli Ravikumar

Chul-Hwan Kim

Waseem Haider

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