Mukesh Gautam
Orcid: 0000-0003-0571-5825
According to our database1,
Mukesh Gautam
authored at least 29 papers
between 2020 and 2024.
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Bibliography
2024
Enabling Active Distribution Systems' Participation in Tertiary Frequency Regulation Through Coalitional Game Theory-Based Reserve Allocation.
IEEE Access, 2024
A Resilient Integrated Resource Planning Framework for Transmission Systems: Analysis Using High Impact Low Probability Events.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024
2023
A Deep Reinforcement Learning-based Reserve Optimization in Active Distribution Systems for Tertiary Frequency Regulation.
CoRR, 2023
Deep Q-Learning-based Distribution Network Reconfiguration for Reliability Improvement.
CoRR, 2023
Reserve Allocation in Active Distribution Systems for Tertiary Frequency Regulation: A Coalitional Game Theory-based Approach.
CoRR, 2023
Cyber-Physical Power System Layers: Classification, Characterization, and Interactions.
CoRR, 2023
Coalitional Game Theory in Power Systems: Applications, Challenges, and Future Directions.
CoRR, 2023
Multi-Stage Volt/VAR Support in Distribution Grids: Risk-Aware Scheduling With Real-Time Reinforcement Learning Control.
IEEE Access, 2023
Voltage Control in Distribution Grids Using Topology Aware Deep Reinforcement Learning.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2023
2022
Determination of Optimal Size and Number of Movable Energy Resources for Distribution System Resilience Enhancement.
CoRR, 2022
Volt-VAR Optimization in Distribution Networks Using Twin Delayed Deep Reinforcement Learning.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022
Allocating Reserves in Active Distribution Systems for Tertiary Frequency Regulation.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022
Event Classification in Active Distribution Grids Using Physics-Informed Graph Neural Network and PMU Measurements.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2022
A Deep Reinforcement Learning-based Approach to Post-Disaster Routing of Movable Energy Resources.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2022
Reconfiguration of Distribution Networks for Resilience Enhancement: A Deep Reinforcement Learning-based Approach.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2022
Defensive Islanding to Enhance the Resilience of Distribution Systems against Cyber-induced Failures.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2022
2021
CoRR, 2021
CoRR, 2021
Detection of Cyber Attacks on Voltage Regulation in Distribution Systems Using Machine Learning.
IEEE Access, 2021
Multi-Timescale Risk-Constrained Volt/VAR Control of Distribution Grids with Electric Vehicles and Solar Inverters.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021
Cyber-attack Detection on Distributed Frequency Control of Islanded MGs Using Machine Learning.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021
2020
A GA-based Approach to Eco-driving of Electric Vehicles Considering Regenerative Braking.
CoRR, 2020
CoRR, 2020
Optimal Sizing and Siting of Multi-purpose Utility-scale Shared Energy Storage Systems.
CoRR, 2020
CoRR, 2020
Modeling of Natural Disasters and Extreme Events in Power System Resilience Enhancement and Evaluation Methods.
CoRR, 2020
Sizing of Movable Energy Resources for Service Restoration and Reliability Enhancement.
CoRR, 2020
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020