Mukesh Gautam

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 30

Top Topics

Distribution Network

Reinforcement Learning

State Estimation

Top Venues

Publications

Mukesh Gautam, Timothy McJunkin, Tyler Phillips, Ryan Hruska
A Resilient Integrated Resource Planning Framework for Transmission Systems: Analysis Using High Impact Low Probability Events. ISGT (2024)
Mukesh Gautam, Mohammad MansourLakouraj, Rakib Hossain, Narayan Bhusal, Mohammed Benidris, Hanif Livani
Enabling Active Distribution Systems' Participation in Tertiary Frequency Regulation Through Coalitional Game Theory-Based Reserve Allocation. IEEE Access 12 (2024)
Mukesh Gautam, Rakib Hossain, Mohammad MansourLakouraj, Narayan Bhusal, Mohammed Benidris, Hanif Livani
A Deep Reinforcement Learning-based Reserve Optimization in Active Distribution Systems for Tertiary Frequency Regulation. CoRR (2023)
Mohammad MansourLakouraj, Mukesh Gautam, Hanif Livani, Mohammed Benidris
Multi-Stage Volt/VAR Support in Distribution Grids: Risk-Aware Scheduling With Real-Time Reinforcement Learning Control. IEEE Access 11 (2023)
Mukesh Gautam, Mohammed Benidris
Coalitional Game Theory in Power Systems: Applications, Challenges, and Future Directions. CoRR (2023)
Mukesh Gautam, Mohammad MansourLakouraj, Rakib Hossain, Narayan Bhusal, Mohammed Benidris, Hanif Livani
Reserve Allocation in Active Distribution Systems for Tertiary Frequency Regulation: A Coalitional Game Theory-based Approach. CoRR (2023)
Rakib Hossain, Mukesh Gautam, Mohammad MansourLakouraj, Hanif Livani, Mohammed Benidris
Voltage Control in Distribution Grids Using Topology Aware Deep Reinforcement Learning. IAS (2023)
Mukesh Gautam, Narayan Bhusal, Mohammed Benidris
Deep Q-Learning-based Distribution Network Reconfiguration for Reliability Improvement. CoRR (2023)
Michael Abdelmalak, Narayan Bhusal, Mukesh Gautam, Mohammed Benidris
Cyber-Physical Power System Layers: Classification, Characterization, and Interactions. CoRR (2023)
Mukesh Gautam, Michael Abdelmalak, Mohammad MansourLakouraj, Mohammed Benidris, Hanif Livani
Reconfiguration of Distribution Networks for Resilience Enhancement: A Deep Reinforcement Learning-based Approach. IAS (2022)
Mukesh Gautam, Narayan Bhusal, Mohammed Benidris
A Deep Reinforcement Learning-based Approach to Post-Disaster Routing of Movable Energy Resources. IAS (2022)
Mohammad MansourLakouraj, Mukesh Gautam, Rakib Hossain, Hanif Livani, Mohammed Benidris, Sesh Commuri
Event Classification in Active Distribution Grids Using Physics-Informed Graph Neural Network and PMU Measurements. IAS (2022)
Mukesh Gautam, Mohammad MansourLakouraj, Narayan Bhusal, Mohammed Benidris, Hanif Livani
Allocating Reserves in Active Distribution Systems for Tertiary Frequency Regulation. ISGT (2022)
Rakib Hossain, Mukesh Gautam, Mohammad MansourLakouraj, Hanif Livani, Mohammed Benidris
Volt-VAR Optimization in Distribution Networks Using Twin Delayed Deep Reinforcement Learning. ISGT (2022)
Michael Abdelmalak, Mukesh Gautam, Jitendra Thapa, Eliza Hotchkiss, Mohammed Benidris
Defensive Islanding to Enhance the Resilience of Distribution Systems against Cyber-induced Failures. IAS (2022)
Mukesh Gautam, Eliza Hotchkiss, Mohammed Benidris
Determination of Optimal Size and Number of Movable Energy Resources for Distribution System Resilience Enhancement. CoRR (2022)
Narayan Bhusal, Mukesh Gautam, Mohammed Benidris
Cyber-attack Detection on Distributed Frequency Control of Islanded MGs Using Machine Learning. IAS (2021)
Narayan Bhusal, Raj Mani Shukla, Mukesh Gautam, Mohammed Benidris, Shamik Sengupta
Deep Ensemble Learning-based Approach to Real-time Power System State Estimation. CoRR (2021)
Mohammad MansourLakouraj, Mukesh Gautam, Hanif Livani, Mohammed Benidris, Poria Fajri
Multi-Timescale Risk-Constrained Volt/VAR Control of Distribution Grids with Electric Vehicles and Solar Inverters. ISGT-Europe (2021)
Narayan Bhusal, Mukesh Gautam, Mohammed Benidris
Detection of Cyber Attacks on Voltage Regulation in Distribution Systems Using Machine Learning. IEEE Access 9 (2021)
Mukesh Gautam, Narayan Bhusal, Mohammed Benidris
A Cooperative Game Theory-based Approach to Under-frequency Load Shedding Control. CoRR (2021)
Narayan Bhusal, Mukesh Gautam
Power System Dynamic State Estimation Using Extended and Unscented Kalman Filters. CoRR (2020)
Mukesh Gautam, Narayan Bhusal, Mohammed Benidris, Sushil J. Louis
A Spanning Tree-based Genetic Algorithm for Distribution Network Reconfiguration. IAS (2020)
Mukesh Gautam, Narayan Bhusal, Mohammed Benidris, Chanan Singh, Joydeep Mitra
A Sensitivity-based Approach for Optimal Siting of Distributed Energy Resources. CoRR (2020)
Narayan Bhusal, Mukesh Gautam, Mohammed Benidris, Sushil J. Louis
Optimal Sizing and Siting of Multi-purpose Utility-scale Shared Energy Storage Systems. CoRR (2020)
Narayan Bhusal, Mukesh Gautam, Mohammed Benidris
Cybersecurity of Electric Vehicle Smart Charging Management Systems. CoRR (2020)
Mukesh Gautam, Narayan Bhusal, Mohammed Benidris, Poria Fajri
A GA-based Approach to Eco-driving of Electric Vehicles Considering Regenerative Braking. CoRR (2020)
Mukesh Gautam, Narayan Bhusal, Mohammed Benidris, Sushil J. Louis
A Spanning Tree-based Genetic Algorithm for Distribution Network Reconfiguration. CoRR (2020)
Narayan Bhusal, Mukesh Gautam, Mohammed Benidris
Sizing of Movable Energy Resources for Service Restoration and Reliability Enhancement. CoRR (2020)
Narayan Bhusal, Mukesh Gautam, Michael Abdelmalak, Mohammed Benidris
Modeling of Natural Disasters and Extreme Events in Power System Resilience Enhancement and Evaluation Methods. CoRR (2020)