Narayan Bhusal

According to our database, Narayan Bhusal authored at least 28 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Quantifying the Power System Resilience of the US Power Grid Through Weather and Power Outage Data Mapping.

Sangkeun Matt Lee, Supriya Chinthavali, Narayan Bhusal, Nils M. Stenvig, Anika Tabassum, P. Teja Kuruganti

IEEE Access, 2024

Enabling Active Distribution Systems' Participation in Tertiary Frequency Regulation Through Coalitional Game Theory-Based Reserve Allocation.

Mukesh Gautam, Mohammad MansourLakouraj, Rakib Hossain, Narayan Bhusal, Mohammed Benidris, Hanif Livani

IEEE Access, 2024

2023

Experimental Guesswork with Quantum Side Information Using Twisted Light.

Vishal Katariya, Narayan Bhusal, Chenglong You

Sensors, July, 2023

A Deep Reinforcement Learning-based Reserve Optimization in Active Distribution Systems for Tertiary Frequency Regulation.

Mukesh Gautam, Rakib Hossain, Mohammad MansourLakouraj, Narayan Bhusal, Mohammed Benidris, Hanif Livani

CoRR, 2023

Deep Q-Learning-based Distribution Network Reconfiguration for Reliability Improvement.

Mukesh Gautam, Narayan Bhusal, Mohammed Benidris

CoRR, 2023

Reserve Allocation in Active Distribution Systems for Tertiary Frequency Regulation: A Coalitional Game Theory-based Approach.

Mukesh Gautam, Mohammad MansourLakouraj, Rakib Hossain, Narayan Bhusal, Mohammed Benidris, Hanif Livani

CoRR, 2023

Cyber-Physical Power System Layers: Classification, Characterization, and Interactions.

Michael Abdelmalak, Narayan Bhusal, Mukesh Gautam, Mohammed Benidris

CoRR, 2023

2022

High-dimensional encryption in optical fibers using spatial modes of light and machine learning.

Michelle L. J. Lollie, Fatemeh Mostafavi, Narayan Bhusal, Mingyuan Hong, Chenglong You, Roberto de J. León-Montiel, Omar S. Magaña-Loaiza, Mario Alan Quiroz-Juárez

Mach. Learn. Sci. Technol., 2022

Allocating Reserves in Active Distribution Systems for Tertiary Frequency Regulation.

Mukesh Gautam, Mohammad MansourLakouraj, Narayan Bhusal, Mohammed Benidris, Hanif Livani

Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

A Deep Reinforcement Learning-based Approach to Post-Disaster Routing of Movable Energy Resources.

Mukesh Gautam, Narayan Bhusal, Mohammed Benidris

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2022

2021

Bridging Machine Learning for Smart Grid Applications.

Narayan Bhusal

PhD thesis, 2021

Hosting Capacity Approach Implications.

Narayan Bhusal, Andrija Sadikovic, Mohammed Benidris

CoRR, 2021

A Cooperative Game Theory-based Approach to Under-frequency Load Shedding Control.

Mukesh Gautam, Narayan Bhusal, Mohammed Benidris

CoRR, 2021

Deep Ensemble Learning-based Approach to Real-time Power System State Estimation.

Narayan Bhusal, Raj Mani Shukla, Mukesh Gautam, Mohammed Benidris, Shamik Sengupta

CoRR, 2021

Detection of Cyber Attacks on Voltage Regulation in Distribution Systems Using Machine Learning.

Narayan Bhusal, Mukesh Gautam, Mohammed Benidris

IEEE Access, 2021

Cyber-attack Detection on Distributed Frequency Control of Islanded MGs Using Machine Learning.

Narayan Bhusal, Mukesh Gautam, Mohammed Benidris

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

2020

A GA-based Approach to Eco-driving of Electric Vehicles Considering Regenerative Braking.

Mukesh Gautam, Narayan Bhusal, Mohammed Benidris, Poria Fajri

CoRR, 2020

Power System Dynamic State Estimation Using Extended and Unscented Kalman Filters.

Narayan Bhusal, Mukesh Gautam

CoRR, 2020

Optimal Sizing and Siting of Multi-purpose Utility-scale Shared Energy Storage Systems.

Narayan Bhusal, Mukesh Gautam, Mohammed Benidris, Sushil J. Louis

CoRR, 2020

A Sensitivity-based Approach for Optimal Siting of Distributed Energy Resources.

Mukesh Gautam, Narayan Bhusal, Mohammed Benidris, Chanan Singh, Joydeep Mitra

CoRR, 2020

Modeling of Natural Disasters and Extreme Events in Power System Resilience Enhancement and Evaluation Methods.

Narayan Bhusal, Mukesh Gautam, Michael Abdelmalak, Mohammed Benidris

CoRR, 2020

Sizing of Movable Energy Resources for Service Restoration and Reliability Enhancement.

Narayan Bhusal, Mukesh Gautam, Mohammed Benidris

CoRR, 2020

Cybersecurity of Electric Vehicle Smart Charging Management Systems.

Narayan Bhusal, Mukesh Gautam, Mohammed Benidris

CoRR, 2020

Power System Resilience: Current Practices, Challenges, and Future Directions.

Narayan Bhusal, Michael Abdelmalak, Md. Kamruzzaman, Mohammed Benidris

IEEE Access, 2020

A Spanning Tree-based Genetic Algorithm for Distribution Network Reconfiguration.

Mukesh Gautam, Narayan Bhusal, Mohammed Benidris, Sushil J. Louis

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020

2019

Identifying Laguerre-Gaussian Modes using Convolutional Neural Network.

Safura Sharifi, Sofia Brown, Irina Novikova, Eugeniy E. Mikhailov, Georgios Veronis, Jonathan Dowling, Yaser Banadaki, Elisha Siddiqui, Savannah Cuzzo, Narayan Bhusal, Lior Cohen, Austin Kalasky, Nik Prajapati, Rachel Soto-Garcia

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Determining Maximum Hosting Capacity of Electric Distribution Systems to Electric Vehicles.

Md. Kamruzzaman, Narayan Bhusal, Mohammed Benidris

Proceedings of the 2019 IEEE Industry Applications Society Annual Meeting, Baltimore, MD, USA, September 29, 2019

Photovoltaic Hosting Capacity Estimation Considering the Impact of Electric Vehicles.

Narayan Bhusal, Md. Kamruzzaman, Mohammed Benidris

Proceedings of the 2019 IEEE Industry Applications Society Annual Meeting, Baltimore, MD, USA, September 29, 2019