Photovoltaic Hosting Capacity Estimation Considering the Impact of Electric Vehicles. - Narayan Bhusal; Md. Kamruzzaman 003; Mohammed Benidris (IAS, 2019)

Determining Maximum Hosting Capacity of Electric Distribution Systems to Electric Vehicles. - Md. Kamruzzaman 003; Narayan Bhusal; Mohammed Benidris (IAS, 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; et al. (ICMLA, 2019)

A Spanning Tree-based Genetic Algorithm for Distribution Network Reconfiguration. - Mukesh Gautam; Narayan Bhusal; Mohammed Benidris; Sushil J. Louis (IAS, 2020)

Power System Resilience: Current Practices, Challenges, and Future Directions. - Narayan Bhusal; Michael Abdelmalak; Md. Kamruzzaman 003; Mohammed Benidris (IEEE Access, 2020)

Cybersecurity of Electric Vehicle Smart Charging Management Systems. - Narayan Bhusal; Mukesh Gautam; Mohammed Benidris (CoRR, 2020)

Sizing of Movable Energy Resources for Service Restoration and Reliability Enhancement. - Narayan Bhusal; Mukesh Gautam; Mohammed Benidris (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)

A Sensitivity-based Approach for Optimal Siting of Distributed Energy Resources. - Mukesh Gautam; Narayan Bhusal; Mohammed Benidris; Chanan Singh; Joydeep Mitra (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)

Power System Dynamic State Estimation Using Extended and Unscented Kalman Filters. - Narayan Bhusal; Mukesh Gautam (CoRR, 2020)

A GA-based Approach to Eco-driving of Electric Vehicles Considering Regenerative Braking. - Mukesh Gautam; Narayan Bhusal; Mohammed Benidris; Poria Fajri (CoRR, 2020)

Cyber-attack Detection on Distributed Frequency Control of Islanded MGs Using Machine Learning. - Narayan Bhusal; Mukesh Gautam; Mohammed Benidris (IAS, 2021)

Detection of Cyber Attacks on Voltage Regulation in Distribution Systems Using Machine Learning. - Narayan Bhusal; Mukesh Gautam; Mohammed Benidris (IEEE Access, 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)

A Cooperative Game Theory-based Approach to Under-frequency Load Shedding Control. - Mukesh Gautam; Narayan Bhusal; Mohammed Benidris (CoRR, 2021)

Hosting Capacity Approach Implications. - Narayan Bhusal; Andrija Sadikovic; Mohammed Benidris (CoRR, 2021)

Bridging Machine Learning for Smart Grid Applications. - Narayan Bhusal (2021)

A Deep Reinforcement Learning-based Approach to Post-Disaster Routing of Movable Energy Resources. - Mukesh Gautam; Narayan Bhusal; Mohammed Benidris (IAS, 2022)

Allocating Reserves in Active Distribution Systems for Tertiary Frequency Regulation. - Mukesh Gautam; Mohammad MansourLakouraj; Narayan Bhusal; Mohammed Benidris; Hanif Livani (ISGT, 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)

Cyber-Physical Power System Layers: Classification, Characterization, and Interactions. - Michael Abdelmalak; Narayan Bhusal; Mukesh Gautam; 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)

Deep Q-Learning-based Distribution Network Reconfiguration for Reliability Improvement. - Mukesh Gautam; Narayan Bhusal; Mohammed Benidris (CoRR, 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)

Experimental Guesswork with Quantum Side Information Using Twisted Light. - Vishal Katariya; Narayan Bhusal; Chenglong You (Sensors, 2023)

Capturing Infrastructure Interdependencies for Power Outages Prediction During Extreme Events. - Sangkeun Matthew Lee; Avishek Bose; Narayan Bhusal; Supriya Chinthavali (IEEE Big Data, 2024)

Power Outage Forecasting for System Resiliency during Extreme Weather Events. - Anika Tabassum; Sangkeun Lee 001; Narayan Bhusal; Supriya Chinthavali (IEEE Big Data, 2024)

Grid Edge Waveform Analytics Framework for Event Detection and Classification. - Narayan Bhusal; Nils M. Stenvig (IECON, 2024)

Inertia Estimation and Trend Analysis of the United States Power Grid Interconnections. - Saurav Dulal; Chengwen Zhang; Mohammed M. Olama; Qian Liu; Narayan Bhusal; Ajay Pratap Yadav; Mark Baldwin; Nils M. Stenvig; Yilu Liu 001 (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)

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)

Correlating Power Outage Spread with Infrastructure Interdependencies During Hurricanes. - Avishek Bose; Sangkeun Lee 002; Narayan Bhusal; Supriya Chinthavali (CoRR, 2024)